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/* automatically generated by rust-bindgen */ //! Defines the FFI for CUDA cuDNN. //! #![allow(non_camel_case_types)] #![allow(non_snake_case)] #![allow(non_upper_case_globals)] pub const CUDNN_MAJOR: ::libc::c_uint = 7; pub const CUDNN_MINOR: ::libc::c_uint = 0; pub const CUDNN_PATCHLEVEL: ::libc::c_uint = 3; pub const CUDNN_VERSION: ::libc::c_uint = 7003; pub const _LIBC_LIMITS_H_: ::libc::c_uint = 1; pub const _FEATURES_H: ::libc::c_uint = 1; pub const _DEFAULT_SOURCE: ::libc::c_uint = 1; pub const __USE_ISOC11: ::libc::c_uint = 1; pub const __USE_ISOC99: ::libc::c_uint = 1; pub const __USE_ISOC95: ::libc::c_uint = 1; pub const __USE_POSIX_IMPLICITLY: ::libc::c_uint = 1; pub const _POSIX_SOURCE: ::libc::c_uint = 1; pub const _POSIX_C_SOURCE: ::libc::c_uint = 200809; pub const __USE_POSIX: ::libc::c_uint = 1; pub const __USE_POSIX2: ::libc::c_uint = 1; pub const __USE_POSIX199309: ::libc::c_uint = 1; pub const __USE_POSIX199506: ::libc::c_uint = 1; pub const __USE_XOPEN2K: ::libc::c_uint = 1; pub const __USE_XOPEN2K8: ::libc::c_uint = 1; pub const _ATFILE_SOURCE: ::libc::c_uint = 1; pub const __USE_MISC: ::libc::c_uint = 1; pub const __USE_ATFILE: ::libc::c_uint = 1; pub const __USE_FORTIFY_LEVEL: ::libc::c_uint = 0; pub const _STDC_PREDEF_H: ::libc::c_uint = 1; pub const __STDC_IEC_559__: ::libc::c_uint = 1; pub const __STDC_IEC_559_COMPLEX__: ::libc::c_uint = 1; pub const __STDC_ISO_10646__: ::libc::c_uint = 201605; pub const __STDC_NO_THREADS__: ::libc::c_uint = 1; pub const __GNU_LIBRARY__: ::libc::c_uint = 6; pub const __GLIBC__: ::libc::c_uint = 2; pub const __GLIBC_MINOR__: ::libc::c_uint = 25; pub const _SYS_CDEFS_H: ::libc::c_uint = 1; pub const __glibc_c99_flexarr_available: ::libc::c_uint = 1; pub const __WORDSIZE: ::libc::c_uint = 64; pub const __WORDSIZE_TIME64_COMPAT32: ::libc::c_uint = 1; pub const __SYSCALL_WORDSIZE: ::libc::c_uint = 64; pub const __GLIBC_USE_LIB_EXT2: ::libc::c_uint = 0; pub const __GLIBC_USE_IEC_60559_BFP_EXT: ::libc::c_uint = 0; pub const __GLIBC_USE_IEC_60559_FUNCS_EXT: ::libc::c_uint = 0; pub const MB_LEN_MAX: ::libc::c_uint = 16; pub const _BITS_POSIX1_LIM_H: ::libc::c_uint = 1; pub const _POSIX_AIO_LISTIO_MAX: ::libc::c_uint = 2; pub const _POSIX_AIO_MAX: ::libc::c_uint = 1; pub const _POSIX_ARG_MAX: ::libc::c_uint = 4096; pub const _POSIX_CHILD_MAX: ::libc::c_uint = 25; pub const _POSIX_DELAYTIMER_MAX: ::libc::c_uint = 32; pub const _POSIX_HOST_NAME_MAX: ::libc::c_uint = 255; pub const _POSIX_LINK_MAX: ::libc::c_uint = 8; pub const _POSIX_LOGIN_NAME_MAX: ::libc::c_uint = 9; pub const _POSIX_MAX_CANON: ::libc::c_uint = 255; pub const _POSIX_MAX_INPUT: ::libc::c_uint = 255; pub const _POSIX_MQ_OPEN_MAX: ::libc::c_uint = 8; pub const _POSIX_MQ_PRIO_MAX: ::libc::c_uint = 32; pub const _POSIX_NAME_MAX: ::libc::c_uint = 14; pub const _POSIX_NGROUPS_MAX: ::libc::c_uint = 8; pub const _POSIX_OPEN_MAX: ::libc::c_uint = 20; pub const _POSIX_PATH_MAX: ::libc::c_uint = 256; pub const _POSIX_PIPE_BUF: ::libc::c_uint = 512; pub const _POSIX_RE_DUP_MAX: ::libc::c_uint = 255; pub const _POSIX_RTSIG_MAX: ::libc::c_uint = 8; pub const _POSIX_SEM_NSEMS_MAX: ::libc::c_uint = 256; pub const _POSIX_SEM_VALUE_MAX: ::libc::c_uint = 32767; pub const _POSIX_SIGQUEUE_MAX: ::libc::c_uint = 32; pub const _POSIX_SSIZE_MAX: ::libc::c_uint = 32767; pub const _POSIX_STREAM_MAX: ::libc::c_uint = 8; pub const _POSIX_SYMLINK_MAX: ::libc::c_uint = 255; pub const _POSIX_SYMLOOP_MAX: ::libc::c_uint = 8; pub const _POSIX_TIMER_MAX: ::libc::c_uint = 32; pub const _POSIX_TTY_NAME_MAX: ::libc::c_uint = 9; pub const _POSIX_TZNAME_MAX: ::libc::c_uint = 6; pub const _POSIX_CLOCKRES_MIN: ::libc::c_uint = 20000000; pub const NR_OPEN: ::libc::c_uint = 1024; pub const NGROUPS_MAX: ::libc::c_uint = 65536; pub const ARG_MAX: ::libc::c_uint = 131072; pub const LINK_MAX: ::libc::c_uint = 127; pub const MAX_CANON: ::libc::c_uint = 255; pub const MAX_INPUT: ::libc::c_uint = 255; pub const NAME_MAX: ::libc::c_uint = 255; pub const PATH_MAX: ::libc::c_uint = 4096; pub const PIPE_BUF: ::libc::c_uint = 4096; pub const XATTR_NAME_MAX: ::libc::c_uint = 255; pub const XATTR_SIZE_MAX: ::libc::c_uint = 65536; pub const XATTR_LIST_MAX: ::libc::c_uint = 65536; pub const RTSIG_MAX: ::libc::c_uint = 32; pub const _POSIX_THREAD_KEYS_MAX: ::libc::c_uint = 128; pub const PTHREAD_KEYS_MAX: ::libc::c_uint = 1024; pub const _POSIX_THREAD_DESTRUCTOR_ITERATIONS: ::libc::c_uint = 4; pub const PTHREAD_DESTRUCTOR_ITERATIONS: ::libc::c_uint = 4; pub const _POSIX_THREAD_THREADS_MAX: ::libc::c_uint = 64; pub const AIO_PRIO_DELTA_MAX: ::libc::c_uint = 20; pub const PTHREAD_STACK_MIN: ::libc::c_uint = 16384; pub const DELAYTIMER_MAX: ::libc::c_uint = 2147483647; pub const TTY_NAME_MAX: ::libc::c_uint = 32; pub const LOGIN_NAME_MAX: ::libc::c_uint = 256; pub const HOST_NAME_MAX: ::libc::c_uint = 64; pub const MQ_PRIO_MAX: ::libc::c_uint = 32768; pub const SEM_VALUE_MAX: ::libc::c_uint = 2147483647; pub const _BITS_POSIX2_LIM_H: ::libc::c_uint = 1; pub const _POSIX2_BC_BASE_MAX: ::libc::c_uint = 99; pub const _POSIX2_BC_DIM_MAX: ::libc::c_uint = 2048; pub const _POSIX2_BC_SCALE_MAX: ::libc::c_uint = 99; pub const _POSIX2_BC_STRING_MAX: ::libc::c_uint = 1000; pub const _POSIX2_COLL_WEIGHTS_MAX: ::libc::c_uint = 2; pub const _POSIX2_EXPR_NEST_MAX: ::libc::c_uint = 32; pub const _POSIX2_LINE_MAX: ::libc::c_uint = 2048; pub const _POSIX2_RE_DUP_MAX: ::libc::c_uint = 255; pub const _POSIX2_CHARCLASS_NAME_MAX: ::libc::c_uint = 14; pub const BC_BASE_MAX: ::libc::c_uint = 99; pub const BC_DIM_MAX: ::libc::c_uint = 2048; pub const BC_SCALE_MAX: ::libc::c_uint = 99; pub const BC_STRING_MAX: ::libc::c_uint = 1000; pub const COLL_WEIGHTS_MAX: ::libc::c_uint = 255; pub const EXPR_NEST_MAX: ::libc::c_uint = 32; pub const LINE_MAX: ::libc::c_uint = 2048; pub const CHARCLASS_NAME_MAX: ::libc::c_uint = 2048; pub const RE_DUP_MAX: ::libc::c_uint = 32767; pub const cudaHostAllocDefault: ::libc::c_uint = 0; pub const cudaHostAllocPortable: ::libc::c_uint = 1; pub const cudaHostAllocMapped: ::libc::c_uint = 2; pub const cudaHostAllocWriteCombined: ::libc::c_uint = 4; pub const cudaHostRegisterDefault: ::libc::c_uint = 0; pub const cudaHostRegisterPortable: ::libc::c_uint = 1; pub const cudaHostRegisterMapped: ::libc::c_uint = 2; pub const cudaHostRegisterIoMemory: ::libc::c_uint = 4; pub const cudaPeerAccessDefault: ::libc::c_uint = 0; pub const cudaStreamDefault: ::libc::c_uint = 0; pub const cudaStreamNonBlocking: ::libc::c_uint = 1; pub const cudaEventDefault: ::libc::c_uint = 0; pub const cudaEventBlockingSync: ::libc::c_uint = 1; pub const cudaEventDisableTiming: ::libc::c_uint = 2; pub const cudaEventInterprocess: ::libc::c_uint = 4; pub const cudaDeviceScheduleAuto: ::libc::c_uint = 0; pub const cudaDeviceScheduleSpin: ::libc::c_uint = 1; pub const cudaDeviceScheduleYield: ::libc::c_uint = 2; pub const cudaDeviceScheduleBlockingSync: ::libc::c_uint = 4; pub const cudaDeviceBlockingSync: ::libc::c_uint = 4; pub const cudaDeviceScheduleMask: ::libc::c_uint = 7; pub const cudaDeviceMapHost: ::libc::c_uint = 8; pub const cudaDeviceLmemResizeToMax: ::libc::c_uint = 16; pub const cudaDeviceMask: ::libc::c_uint = 31; pub const cudaArrayDefault: ::libc::c_uint = 0; pub const cudaArrayLayered: ::libc::c_uint = 1; pub const cudaArraySurfaceLoadStore: ::libc::c_uint = 2; pub const cudaArrayCubemap: ::libc::c_uint = 4; pub const cudaArrayTextureGather: ::libc::c_uint = 8; pub const cudaIpcMemLazyEnablePeerAccess: ::libc::c_uint = 1; pub const cudaMemAttachGlobal: ::libc::c_uint = 1; pub const cudaMemAttachHost: ::libc::c_uint = 2; pub const cudaMemAttachSingle: ::libc::c_uint = 4; pub const cudaOccupancyDefault: ::libc::c_uint = 0; pub const cudaOccupancyDisableCachingOverride: ::libc::c_uint = 1; pub const CUDA_IPC_HANDLE_SIZE: ::libc::c_uint = 64; pub const cudaSurfaceType1D: ::libc::c_uint = 1; pub const cudaSurfaceType2D: ::libc::c_uint = 2; pub const cudaSurfaceType3D: ::libc::c_uint = 3; pub const cudaSurfaceTypeCubemap: ::libc::c_uint = 12; pub const cudaSurfaceType1DLayered: ::libc::c_uint = 241; pub const cudaSurfaceType2DLayered: ::libc::c_uint = 242; pub const cudaSurfaceTypeCubemapLayered: ::libc::c_uint = 252; pub const cudaTextureType1D: ::libc::c_uint = 1; pub const cudaTextureType2D: ::libc::c_uint = 2; pub const cudaTextureType3D: ::libc::c_uint = 3; pub const cudaTextureTypeCubemap: ::libc::c_uint = 12; pub const cudaTextureType1DLayered: ::libc::c_uint = 241; pub const cudaTextureType2DLayered: ::libc::c_uint = 242; pub const cudaTextureTypeCubemapLayered: ::libc::c_uint = 252; pub const CUDART_VERSION: ::libc::c_uint = 8000; pub const CUDNN_DIM_MAX: ::libc::c_uint = 8; pub const CUDNN_LRN_MIN_N: ::libc::c_uint = 1; pub const CUDNN_LRN_MAX_N: ::libc::c_uint = 16; pub const CUDNN_LRN_MIN_K: f64 = 0.00001; pub const CUDNN_LRN_MIN_BETA: f64 = 0.01; pub const CUDNN_BN_MIN_EPSILON: f64 = 0.00001; pub type wchar_t = ::libc::c_int; #[repr(u32)] /// CUDA error types #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaError { cudaSuccess = 0, cudaErrorMissingConfiguration = 1, cudaErrorMemoryAllocation = 2, cudaErrorInitializationError = 3, cudaErrorLaunchFailure = 4, cudaErrorPriorLaunchFailure = 5, cudaErrorLaunchTimeout = 6, cudaErrorLaunchOutOfResources = 7, cudaErrorInvalidDeviceFunction = 8, cudaErrorInvalidConfiguration = 9, cudaErrorInvalidDevice = 10, cudaErrorInvalidValue = 11, cudaErrorInvalidPitchValue = 12, cudaErrorInvalidSymbol = 13, cudaErrorMapBufferObjectFailed = 14, cudaErrorUnmapBufferObjectFailed = 15, cudaErrorInvalidHostPointer = 16, cudaErrorInvalidDevicePointer = 17, cudaErrorInvalidTexture = 18, cudaErrorInvalidTextureBinding = 19, cudaErrorInvalidChannelDescriptor = 20, cudaErrorInvalidMemcpyDirection = 21, cudaErrorAddressOfConstant = 22, cudaErrorTextureFetchFailed = 23, cudaErrorTextureNotBound = 24, cudaErrorSynchronizationError = 25, cudaErrorInvalidFilterSetting = 26, cudaErrorInvalidNormSetting = 27, cudaErrorMixedDeviceExecution = 28, cudaErrorCudartUnloading = 29, cudaErrorUnknown = 30, cudaErrorNotYetImplemented = 31, cudaErrorMemoryValueTooLarge = 32, cudaErrorInvalidResourceHandle = 33, cudaErrorNotReady = 34, cudaErrorInsufficientDriver = 35, cudaErrorSetOnActiveProcess = 36, cudaErrorInvalidSurface = 37, cudaErrorNoDevice = 38, cudaErrorECCUncorrectable = 39, cudaErrorSharedObjectSymbolNotFound = 40, cudaErrorSharedObjectInitFailed = 41, cudaErrorUnsupportedLimit = 42, cudaErrorDuplicateVariableName = 43, cudaErrorDuplicateTextureName = 44, cudaErrorDuplicateSurfaceName = 45, cudaErrorDevicesUnavailable = 46, cudaErrorInvalidKernelImage = 47, cudaErrorNoKernelImageForDevice = 48, cudaErrorIncompatibleDriverContext = 49, cudaErrorPeerAccessAlreadyEnabled = 50, cudaErrorPeerAccessNotEnabled = 51, cudaErrorDeviceAlreadyInUse = 54, cudaErrorProfilerDisabled = 55, cudaErrorProfilerNotInitialized = 56, cudaErrorProfilerAlreadyStarted = 57, cudaErrorProfilerAlreadyStopped = 58, cudaErrorAssert = 59, cudaErrorTooManyPeers = 60, cudaErrorHostMemoryAlreadyRegistered = 61, cudaErrorHostMemoryNotRegistered = 62, cudaErrorOperatingSystem = 63, cudaErrorPeerAccessUnsupported = 64, cudaErrorLaunchMaxDepthExceeded = 65, cudaErrorLaunchFileScopedTex = 66, cudaErrorLaunchFileScopedSurf = 67, cudaErrorSyncDepthExceeded = 68, cudaErrorLaunchPendingCountExceeded = 69, cudaErrorNotPermitted = 70, cudaErrorNotSupported = 71, cudaErrorHardwareStackError = 72, cudaErrorIllegalInstruction = 73, cudaErrorMisalignedAddress = 74, cudaErrorInvalidAddressSpace = 75, cudaErrorInvalidPc = 76, cudaErrorIllegalAddress = 77, cudaErrorInvalidPtx = 78, cudaErrorInvalidGraphicsContext = 79, cudaErrorNvlinkUncorrectable = 80, cudaErrorStartupFailure = 127, cudaErrorApiFailureBase = 10000, } #[repr(u32)] /// Channel format kind #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaChannelFormatKind { cudaChannelFormatKindSigned = 0, cudaChannelFormatKindUnsigned = 1, cudaChannelFormatKindFloat = 2, cudaChannelFormatKindNone = 3, } /// CUDA Channel format descriptor #[repr(C)] #[derive(Debug, Copy)] pub struct cudaChannelFormatDesc { /// < x pub x: ::libc::c_int, /// < y pub y: ::libc::c_int, /// < z pub z: ::libc::c_int, /// < w pub w: ::libc::c_int, /// < Channel format kind pub f: cudaChannelFormatKind, } #[test] fn bindgen_test_layout_cudaChannelFormatDesc() { assert_eq!( ::std::mem::size_of::<cudaChannelFormatDesc>(), 20usize, concat!("Size of: ", stringify!(cudaChannelFormatDesc)) ); assert_eq!( ::std::mem::align_of::<cudaChannelFormatDesc>(), 4usize, concat!("Alignment of ", stringify!(cudaChannelFormatDesc)) ); assert_eq!( unsafe { &(*(0 as *const cudaChannelFormatDesc)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaChannelFormatDesc), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const cudaChannelFormatDesc)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(cudaChannelFormatDesc), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const cudaChannelFormatDesc)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaChannelFormatDesc), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const cudaChannelFormatDesc)).w as *const _ as usize }, 12usize, concat!( "Alignment of field: ", stringify!(cudaChannelFormatDesc), "::", stringify!(w) ) ); assert_eq!( unsafe { &(*(0 as *const cudaChannelFormatDesc)).f as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaChannelFormatDesc), "::", stringify!(f) ) ); } impl Clone for cudaChannelFormatDesc { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudaArray { _unused: [u8; 0], } /// CUDA array pub type cudaArray_t = *mut cudaArray; /// CUDA array (as source copy argument) pub type cudaArray_const_t = *const cudaArray; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudaMipmappedArray { _unused: [u8; 0], } /// CUDA mipmapped array pub type cudaMipmappedArray_t = *mut cudaMipmappedArray; /// CUDA mipmapped array (as source argument) pub type cudaMipmappedArray_const_t = *const cudaMipmappedArray; #[repr(u32)] /// CUDA memory types #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaMemoryType { cudaMemoryTypeHost = 1, cudaMemoryTypeDevice = 2, } #[repr(u32)] /// CUDA memory copy types #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaMemcpyKind { cudaMemcpyHostToHost = 0, cudaMemcpyHostToDevice = 1, cudaMemcpyDeviceToHost = 2, cudaMemcpyDeviceToDevice = 3, cudaMemcpyDefault = 4, } /// CUDA Pitched memory pointer /// /// \sa ::make_cudaPitchedPtr #[repr(C)] #[derive(Debug, Copy)] pub struct cudaPitchedPtr { /// < Pointer to allocated memory pub ptr: *mut ::libc::c_void, /// < Pitch of allocated memory in bytes pub pitch: usize, /// < Logical width of allocation in elements pub xsize: usize, /// < Logical height of allocation in elements pub ysize: usize, } #[test] fn bindgen_test_layout_cudaPitchedPtr() { assert_eq!( ::std::mem::size_of::<cudaPitchedPtr>(), 32usize, concat!("Size of: ", stringify!(cudaPitchedPtr)) ); assert_eq!( ::std::mem::align_of::<cudaPitchedPtr>(), 8usize, concat!("Alignment of ", stringify!(cudaPitchedPtr)) ); assert_eq!( unsafe { &(*(0 as *const cudaPitchedPtr)).ptr as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaPitchedPtr), "::", stringify!(ptr) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPitchedPtr)).pitch as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaPitchedPtr), "::", stringify!(pitch) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPitchedPtr)).xsize as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaPitchedPtr), "::", stringify!(xsize) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPitchedPtr)).ysize as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudaPitchedPtr), "::", stringify!(ysize) ) ); } impl Clone for cudaPitchedPtr { fn clone(&self) -> Self { *self } } /// CUDA extent /// /// \sa ::make_cudaExtent #[repr(C)] #[derive(Debug, Copy)] pub struct cudaExtent { /// < Width in elements when referring to array memory, in bytes when referring to linear memory pub width: usize, /// < Height in elements pub height: usize, /// < Depth in elements pub depth: usize, } #[test] fn bindgen_test_layout_cudaExtent() { assert_eq!( ::std::mem::size_of::<cudaExtent>(), 24usize, concat!("Size of: ", stringify!(cudaExtent)) ); assert_eq!( ::std::mem::align_of::<cudaExtent>(), 8usize, concat!("Alignment of ", stringify!(cudaExtent)) ); assert_eq!( unsafe { &(*(0 as *const cudaExtent)).width as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaExtent), "::", stringify!(width) ) ); assert_eq!( unsafe { &(*(0 as *const cudaExtent)).height as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaExtent), "::", stringify!(height) ) ); assert_eq!( unsafe { &(*(0 as *const cudaExtent)).depth as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaExtent), "::", stringify!(depth) ) ); } impl Clone for cudaExtent { fn clone(&self) -> Self { *self } } /// CUDA 3D position /// /// \sa ::make_cudaPos #[repr(C)] #[derive(Debug, Copy)] pub struct cudaPos { /// < x pub x: usize, /// < y pub y: usize, /// < z pub z: usize, } #[test] fn bindgen_test_layout_cudaPos() { assert_eq!( ::std::mem::size_of::<cudaPos>(), 24usize, concat!("Size of: ", stringify!(cudaPos)) ); assert_eq!( ::std::mem::align_of::<cudaPos>(), 8usize, concat!("Alignment of ", stringify!(cudaPos)) ); assert_eq!( unsafe { &(*(0 as *const cudaPos)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaPos), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPos)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaPos), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPos)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaPos), "::", stringify!(z) ) ); } impl Clone for cudaPos { fn clone(&self) -> Self { *self } } /// CUDA 3D memory copying parameters #[repr(C)] #[derive(Debug, Copy)] pub struct cudaMemcpy3DParms { /// < Source memory address pub srcArray: cudaArray_t, /// < Source position offset pub srcPos: cudaPos, /// < Pitched source memory address pub srcPtr: cudaPitchedPtr, /// < Destination memory address pub dstArray: cudaArray_t, /// < Destination position offset pub dstPos: cudaPos, /// < Pitched destination memory address pub dstPtr: cudaPitchedPtr, /// < Requested memory copy size pub extent: cudaExtent, /// < Type of transfer pub kind: cudaMemcpyKind, } #[test] fn bindgen_test_layout_cudaMemcpy3DParms() { assert_eq!( ::std::mem::size_of::<cudaMemcpy3DParms>(), 160usize, concat!("Size of: ", stringify!(cudaMemcpy3DParms)) ); assert_eq!( ::std::mem::align_of::<cudaMemcpy3DParms>(), 8usize, concat!("Alignment of ", stringify!(cudaMemcpy3DParms)) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).srcArray as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(srcArray) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).srcPos as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(srcPos) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).srcPtr as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(srcPtr) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).dstArray as *const _ as usize }, 64usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(dstArray) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).dstPos as *const _ as usize }, 72usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(dstPos) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).dstPtr as *const _ as usize }, 96usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(dstPtr) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).extent as *const _ as usize }, 128usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(extent) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DParms)).kind as *const _ as usize }, 152usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DParms), "::", stringify!(kind) ) ); } impl Clone for cudaMemcpy3DParms { fn clone(&self) -> Self { *self } } /// CUDA 3D cross-device memory copying parameters #[repr(C)] #[derive(Debug, Copy)] pub struct cudaMemcpy3DPeerParms { /// < Source memory address pub srcArray: cudaArray_t, /// < Source position offset pub srcPos: cudaPos, /// < Pitched source memory address pub srcPtr: cudaPitchedPtr, /// < Source device pub srcDevice: ::libc::c_int, /// < Destination memory address pub dstArray: cudaArray_t, /// < Destination position offset pub dstPos: cudaPos, /// < Pitched destination memory address pub dstPtr: cudaPitchedPtr, /// < Destination device pub dstDevice: ::libc::c_int, /// < Requested memory copy size pub extent: cudaExtent, } #[test] fn bindgen_test_layout_cudaMemcpy3DPeerParms() { assert_eq!( ::std::mem::size_of::<cudaMemcpy3DPeerParms>(), 168usize, concat!("Size of: ", stringify!(cudaMemcpy3DPeerParms)) ); assert_eq!( ::std::mem::align_of::<cudaMemcpy3DPeerParms>(), 8usize, concat!("Alignment of ", stringify!(cudaMemcpy3DPeerParms)) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).srcArray as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(srcArray) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).srcPos as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(srcPos) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).srcPtr as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(srcPtr) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).srcDevice as *const _ as usize }, 64usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(srcDevice) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).dstArray as *const _ as usize }, 72usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(dstArray) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).dstPos as *const _ as usize }, 80usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(dstPos) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).dstPtr as *const _ as usize }, 104usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(dstPtr) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).dstDevice as *const _ as usize }, 136usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(dstDevice) ) ); assert_eq!( unsafe { &(*(0 as *const cudaMemcpy3DPeerParms)).extent as *const _ as usize }, 144usize, concat!( "Alignment of field: ", stringify!(cudaMemcpy3DPeerParms), "::", stringify!(extent) ) ); } impl Clone for cudaMemcpy3DPeerParms { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudaGraphicsResource { _unused: [u8; 0], } #[repr(u32)] /// CUDA graphics interop register flags #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaGraphicsRegisterFlags { cudaGraphicsRegisterFlagsNone = 0, cudaGraphicsRegisterFlagsReadOnly = 1, cudaGraphicsRegisterFlagsWriteDiscard = 2, cudaGraphicsRegisterFlagsSurfaceLoadStore = 4, cudaGraphicsRegisterFlagsTextureGather = 8, } #[repr(u32)] /// CUDA graphics interop map flags #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaGraphicsMapFlags { cudaGraphicsMapFlagsNone = 0, cudaGraphicsMapFlagsReadOnly = 1, cudaGraphicsMapFlagsWriteDiscard = 2, } #[repr(u32)] /// CUDA graphics interop array indices for cube maps #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaGraphicsCubeFace { cudaGraphicsCubeFacePositiveX = 0, cudaGraphicsCubeFaceNegativeX = 1, cudaGraphicsCubeFacePositiveY = 2, cudaGraphicsCubeFaceNegativeY = 3, cudaGraphicsCubeFacePositiveZ = 4, cudaGraphicsCubeFaceNegativeZ = 5, } #[repr(u32)] /// CUDA resource types #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaResourceType { cudaResourceTypeArray = 0, cudaResourceTypeMipmappedArray = 1, cudaResourceTypeLinear = 2, cudaResourceTypePitch2D = 3, } #[repr(u32)] /// CUDA texture resource view formats #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaResourceViewFormat { cudaResViewFormatNone = 0, cudaResViewFormatUnsignedChar1 = 1, cudaResViewFormatUnsignedChar2 = 2, cudaResViewFormatUnsignedChar4 = 3, cudaResViewFormatSignedChar1 = 4, cudaResViewFormatSignedChar2 = 5, cudaResViewFormatSignedChar4 = 6, cudaResViewFormatUnsignedShort1 = 7, cudaResViewFormatUnsignedShort2 = 8, cudaResViewFormatUnsignedShort4 = 9, cudaResViewFormatSignedShort1 = 10, cudaResViewFormatSignedShort2 = 11, cudaResViewFormatSignedShort4 = 12, cudaResViewFormatUnsignedInt1 = 13, cudaResViewFormatUnsignedInt2 = 14, cudaResViewFormatUnsignedInt4 = 15, cudaResViewFormatSignedInt1 = 16, cudaResViewFormatSignedInt2 = 17, cudaResViewFormatSignedInt4 = 18, cudaResViewFormatHalf1 = 19, cudaResViewFormatHalf2 = 20, cudaResViewFormatHalf4 = 21, cudaResViewFormatFloat1 = 22, cudaResViewFormatFloat2 = 23, cudaResViewFormatFloat4 = 24, cudaResViewFormatUnsignedBlockCompressed1 = 25, cudaResViewFormatUnsignedBlockCompressed2 = 26, cudaResViewFormatUnsignedBlockCompressed3 = 27, cudaResViewFormatUnsignedBlockCompressed4 = 28, cudaResViewFormatSignedBlockCompressed4 = 29, cudaResViewFormatUnsignedBlockCompressed5 = 30, cudaResViewFormatSignedBlockCompressed5 = 31, cudaResViewFormatUnsignedBlockCompressed6H = 32, cudaResViewFormatSignedBlockCompressed6H = 33, cudaResViewFormatUnsignedBlockCompressed7 = 34, } /// CUDA resource descriptor #[repr(C)] #[derive(Copy)] pub struct cudaResourceDesc { /// < Resource type pub resType: cudaResourceType, pub res: cudaResourceDesc__bindgen_ty_1, } #[repr(C)] #[derive(Copy)] pub union cudaResourceDesc__bindgen_ty_1 { pub array: cudaResourceDesc__bindgen_ty_1__bindgen_ty_1, pub mipmap: cudaResourceDesc__bindgen_ty_1__bindgen_ty_2, pub linear: cudaResourceDesc__bindgen_ty_1__bindgen_ty_3, pub pitch2D: cudaResourceDesc__bindgen_ty_1__bindgen_ty_4, _bindgen_union_align: [u64; 7usize], } #[repr(C)] #[derive(Debug, Copy)] pub struct cudaResourceDesc__bindgen_ty_1__bindgen_ty_1 { /// < CUDA array pub array: cudaArray_t, } #[test] fn bindgen_test_layout_cudaResourceDesc__bindgen_ty_1__bindgen_ty_1() { assert_eq!( ::std::mem::size_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_1>(), 8usize, concat!( "Size of: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_1) ) ); assert_eq!( ::std::mem::align_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_1>(), 8usize, concat!( "Alignment of ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_1) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_1)).array as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_1), "::", stringify!(array) ) ); } impl Clone for cudaResourceDesc__bindgen_ty_1__bindgen_ty_1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct cudaResourceDesc__bindgen_ty_1__bindgen_ty_2 { /// < CUDA mipmapped array pub mipmap: cudaMipmappedArray_t, } #[test] fn bindgen_test_layout_cudaResourceDesc__bindgen_ty_1__bindgen_ty_2() { assert_eq!( ::std::mem::size_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_2>(), 8usize, concat!( "Size of: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_2) ) ); assert_eq!( ::std::mem::align_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_2>(), 8usize, concat!( "Alignment of ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_2) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_2)).mipmap as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_2), "::", stringify!(mipmap) ) ); } impl Clone for cudaResourceDesc__bindgen_ty_1__bindgen_ty_2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct cudaResourceDesc__bindgen_ty_1__bindgen_ty_3 { /// < Device pointer pub devPtr: *mut ::libc::c_void, /// < Channel descriptor pub desc: cudaChannelFormatDesc, /// < Size in bytes pub sizeInBytes: usize, } #[test] fn bindgen_test_layout_cudaResourceDesc__bindgen_ty_1__bindgen_ty_3() { assert_eq!( ::std::mem::size_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_3>(), 40usize, concat!( "Size of: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_3) ) ); assert_eq!( ::std::mem::align_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_3>(), 8usize, concat!( "Alignment of ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_3) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_3)).devPtr as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_3), "::", stringify!(devPtr) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_3)).desc as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_3), "::", stringify!(desc) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_3)).sizeInBytes as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_3), "::", stringify!(sizeInBytes) ) ); } impl Clone for cudaResourceDesc__bindgen_ty_1__bindgen_ty_3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct cudaResourceDesc__bindgen_ty_1__bindgen_ty_4 { /// < Device pointer pub devPtr: *mut ::libc::c_void, /// < Channel descriptor pub desc: cudaChannelFormatDesc, /// < Width of the array in elements pub width: usize, /// < Height of the array in elements pub height: usize, /// < Pitch between two rows in bytes pub pitchInBytes: usize, } #[test] fn bindgen_test_layout_cudaResourceDesc__bindgen_ty_1__bindgen_ty_4() { assert_eq!( ::std::mem::size_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_4>(), 56usize, concat!( "Size of: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_4) ) ); assert_eq!( ::std::mem::align_of::<cudaResourceDesc__bindgen_ty_1__bindgen_ty_4>(), 8usize, concat!( "Alignment of ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_4) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_4)).devPtr as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_4), "::", stringify!(devPtr) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_4)).desc as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_4), "::", stringify!(desc) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_4)).width as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_4), "::", stringify!(width) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_4)).height as *const _ as usize }, 40usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_4), "::", stringify!(height) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1__bindgen_ty_4)).pitchInBytes as *const _ as usize }, 48usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1__bindgen_ty_4), "::", stringify!(pitchInBytes) ) ); } impl Clone for cudaResourceDesc__bindgen_ty_1__bindgen_ty_4 { fn clone(&self) -> Self { *self } } #[test] fn bindgen_test_layout_cudaResourceDesc__bindgen_ty_1() { assert_eq!( ::std::mem::size_of::<cudaResourceDesc__bindgen_ty_1>(), 56usize, concat!("Size of: ", stringify!(cudaResourceDesc__bindgen_ty_1)) ); assert_eq!( ::std::mem::align_of::<cudaResourceDesc__bindgen_ty_1>(), 8usize, concat!("Alignment of ", stringify!(cudaResourceDesc__bindgen_ty_1)) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1)).array as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1), "::", stringify!(array) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1)).mipmap as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1), "::", stringify!(mipmap) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1)).linear as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1), "::", stringify!(linear) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc__bindgen_ty_1)).pitch2D as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc__bindgen_ty_1), "::", stringify!(pitch2D) ) ); } impl Clone for cudaResourceDesc__bindgen_ty_1 { fn clone(&self) -> Self { *self } } #[test] fn bindgen_test_layout_cudaResourceDesc() { assert_eq!( ::std::mem::size_of::<cudaResourceDesc>(), 64usize, concat!("Size of: ", stringify!(cudaResourceDesc)) ); assert_eq!( ::std::mem::align_of::<cudaResourceDesc>(), 8usize, concat!("Alignment of ", stringify!(cudaResourceDesc)) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc)).resType as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc), "::", stringify!(resType) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceDesc)).res as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaResourceDesc), "::", stringify!(res) ) ); } impl Clone for cudaResourceDesc { fn clone(&self) -> Self { *self } } /// CUDA resource view descriptor #[repr(C)] #[derive(Debug, Copy)] pub struct cudaResourceViewDesc { /// < Resource view format pub format: cudaResourceViewFormat, /// < Width of the resource view pub width: usize, /// < Height of the resource view pub height: usize, /// < Depth of the resource view pub depth: usize, /// < First defined mipmap level pub firstMipmapLevel: ::libc::c_uint, /// < Last defined mipmap level pub lastMipmapLevel: ::libc::c_uint, /// < First layer index pub firstLayer: ::libc::c_uint, /// < Last layer index pub lastLayer: ::libc::c_uint, } #[test] fn bindgen_test_layout_cudaResourceViewDesc() { assert_eq!( ::std::mem::size_of::<cudaResourceViewDesc>(), 48usize, concat!("Size of: ", stringify!(cudaResourceViewDesc)) ); assert_eq!( ::std::mem::align_of::<cudaResourceViewDesc>(), 8usize, concat!("Alignment of ", stringify!(cudaResourceViewDesc)) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).format as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(format) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).width as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(width) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).height as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(height) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).depth as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(depth) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).firstMipmapLevel as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(firstMipmapLevel) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).lastMipmapLevel as *const _ as usize }, 36usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(lastMipmapLevel) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).firstLayer as *const _ as usize }, 40usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(firstLayer) ) ); assert_eq!( unsafe { &(*(0 as *const cudaResourceViewDesc)).lastLayer as *const _ as usize }, 44usize, concat!( "Alignment of field: ", stringify!(cudaResourceViewDesc), "::", stringify!(lastLayer) ) ); } impl Clone for cudaResourceViewDesc { fn clone(&self) -> Self { *self } } /// CUDA pointer attributes #[repr(C)] #[derive(Debug, Copy)] pub struct cudaPointerAttributes { /// The physical location of the memory, ::cudaMemoryTypeHost or /// ::cudaMemoryTypeDevice. pub memoryType: cudaMemoryType, /// The device against which the memory was allocated or registered. /// If the memory type is ::cudaMemoryTypeDevice then this identifies /// the device on which the memory referred physically resides. If /// the memory type is ::cudaMemoryTypeHost then this identifies the /// device which was current when the memory was allocated or registered /// (and if that device is deinitialized then this allocation will vanish /// with that device's state). pub device: ::libc::c_int, /// The address which may be dereferenced on the current device to access /// the memory or NULL if no such address exists. pub devicePointer: *mut ::libc::c_void, /// The address which may be dereferenced on the host to access the /// memory or NULL if no such address exists. pub hostPointer: *mut ::libc::c_void, /// Indicates if this pointer points to managed memory pub isManaged: ::libc::c_int, } #[test] fn bindgen_test_layout_cudaPointerAttributes() { assert_eq!( ::std::mem::size_of::<cudaPointerAttributes>(), 32usize, concat!("Size of: ", stringify!(cudaPointerAttributes)) ); assert_eq!( ::std::mem::align_of::<cudaPointerAttributes>(), 8usize, concat!("Alignment of ", stringify!(cudaPointerAttributes)) ); assert_eq!( unsafe { &(*(0 as *const cudaPointerAttributes)).memoryType as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaPointerAttributes), "::", stringify!(memoryType) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPointerAttributes)).device as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(cudaPointerAttributes), "::", stringify!(device) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPointerAttributes)).devicePointer as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaPointerAttributes), "::", stringify!(devicePointer) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPointerAttributes)).hostPointer as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaPointerAttributes), "::", stringify!(hostPointer) ) ); assert_eq!( unsafe { &(*(0 as *const cudaPointerAttributes)).isManaged as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudaPointerAttributes), "::", stringify!(isManaged) ) ); } impl Clone for cudaPointerAttributes { fn clone(&self) -> Self { *self } } /// CUDA function attributes #[repr(C)] #[derive(Debug, Copy)] pub struct cudaFuncAttributes { /// The size in bytes of statically-allocated shared memory per block /// required by this function. This does not include dynamically-allocated /// shared memory requested by the user at runtime. pub sharedSizeBytes: usize, /// The size in bytes of user-allocated constant memory required by this /// function. pub constSizeBytes: usize, /// The size in bytes of local memory used by each thread of this function. pub localSizeBytes: usize, /// The maximum number of threads per block, beyond which a launch of the /// function would fail. This number depends on both the function and the /// device on which the function is currently loaded. pub maxThreadsPerBlock: ::libc::c_int, /// The number of registers used by each thread of this function. pub numRegs: ::libc::c_int, /// The PTX virtual architecture version for which the function was /// compiled. This value is the major PTX version * 10 + the minor PTX /// version, so a PTX version 1.3 function would return the value 13. pub ptxVersion: ::libc::c_int, /// The binary architecture version for which the function was compiled. /// This value is the major binary version * 10 + the minor binary version, /// so a binary version 1.3 function would return the value 13. pub binaryVersion: ::libc::c_int, /// The attribute to indicate whether the function has been compiled with /// user specified option "-Xptxas --dlcm=ca" set. pub cacheModeCA: ::libc::c_int, } #[test] fn bindgen_test_layout_cudaFuncAttributes() { assert_eq!( ::std::mem::size_of::<cudaFuncAttributes>(), 48usize, concat!("Size of: ", stringify!(cudaFuncAttributes)) ); assert_eq!( ::std::mem::align_of::<cudaFuncAttributes>(), 8usize, concat!("Alignment of ", stringify!(cudaFuncAttributes)) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).sharedSizeBytes as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(sharedSizeBytes) ) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).constSizeBytes as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(constSizeBytes) ) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).localSizeBytes as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(localSizeBytes) ) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).maxThreadsPerBlock as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(maxThreadsPerBlock) ) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).numRegs as *const _ as usize }, 28usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(numRegs) ) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).ptxVersion as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(ptxVersion) ) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).binaryVersion as *const _ as usize }, 36usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(binaryVersion) ) ); assert_eq!( unsafe { &(*(0 as *const cudaFuncAttributes)).cacheModeCA as *const _ as usize }, 40usize, concat!( "Alignment of field: ", stringify!(cudaFuncAttributes), "::", stringify!(cacheModeCA) ) ); } impl Clone for cudaFuncAttributes { fn clone(&self) -> Self { *self } } #[repr(u32)] /// CUDA function cache configurations #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaFuncCache { cudaFuncCachePreferNone = 0, cudaFuncCachePreferShared = 1, cudaFuncCachePreferL1 = 2, cudaFuncCachePreferEqual = 3, } #[repr(u32)] /// CUDA shared memory configuration #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaSharedMemConfig { cudaSharedMemBankSizeDefault = 0, cudaSharedMemBankSizeFourByte = 1, cudaSharedMemBankSizeEightByte = 2, } #[repr(u32)] /// CUDA device compute modes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaComputeMode { cudaComputeModeDefault = 0, cudaComputeModeExclusive = 1, cudaComputeModeProhibited = 2, cudaComputeModeExclusiveProcess = 3, } #[repr(u32)] /// CUDA Limits #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaLimit { cudaLimitStackSize = 0, cudaLimitPrintfFifoSize = 1, cudaLimitMallocHeapSize = 2, cudaLimitDevRuntimeSyncDepth = 3, cudaLimitDevRuntimePendingLaunchCount = 4, } #[repr(u32)] /// CUDA Memory Advise values #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaMemoryAdvise { cudaMemAdviseSetReadMostly = 1, cudaMemAdviseUnsetReadMostly = 2, cudaMemAdviseSetPreferredLocation = 3, cudaMemAdviseUnsetPreferredLocation = 4, cudaMemAdviseSetAccessedBy = 5, cudaMemAdviseUnsetAccessedBy = 6, } #[repr(u32)] /// CUDA range attributes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaMemRangeAttribute { cudaMemRangeAttributeReadMostly = 1, cudaMemRangeAttributePreferredLocation = 2, cudaMemRangeAttributeAccessedBy = 3, cudaMemRangeAttributeLastPrefetchLocation = 4, } #[repr(u32)] /// CUDA Profiler Output modes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaOutputMode { cudaKeyValuePair = 0, cudaCSV = 1, } #[repr(u32)] /// CUDA device attributes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaDeviceAttr { cudaDevAttrMaxThreadsPerBlock = 1, cudaDevAttrMaxBlockDimX = 2, cudaDevAttrMaxBlockDimY = 3, cudaDevAttrMaxBlockDimZ = 4, cudaDevAttrMaxGridDimX = 5, cudaDevAttrMaxGridDimY = 6, cudaDevAttrMaxGridDimZ = 7, cudaDevAttrMaxSharedMemoryPerBlock = 8, cudaDevAttrTotalConstantMemory = 9, cudaDevAttrWarpSize = 10, cudaDevAttrMaxPitch = 11, cudaDevAttrMaxRegistersPerBlock = 12, cudaDevAttrClockRate = 13, cudaDevAttrTextureAlignment = 14, cudaDevAttrGpuOverlap = 15, cudaDevAttrMultiProcessorCount = 16, cudaDevAttrKernelExecTimeout = 17, cudaDevAttrIntegrated = 18, cudaDevAttrCanMapHostMemory = 19, cudaDevAttrComputeMode = 20, cudaDevAttrMaxTexture1DWidth = 21, cudaDevAttrMaxTexture2DWidth = 22, cudaDevAttrMaxTexture2DHeight = 23, cudaDevAttrMaxTexture3DWidth = 24, cudaDevAttrMaxTexture3DHeight = 25, cudaDevAttrMaxTexture3DDepth = 26, cudaDevAttrMaxTexture2DLayeredWidth = 27, cudaDevAttrMaxTexture2DLayeredHeight = 28, cudaDevAttrMaxTexture2DLayeredLayers = 29, cudaDevAttrSurfaceAlignment = 30, cudaDevAttrConcurrentKernels = 31, cudaDevAttrEccEnabled = 32, cudaDevAttrPciBusId = 33, cudaDevAttrPciDeviceId = 34, cudaDevAttrTccDriver = 35, cudaDevAttrMemoryClockRate = 36, cudaDevAttrGlobalMemoryBusWidth = 37, cudaDevAttrL2CacheSize = 38, cudaDevAttrMaxThreadsPerMultiProcessor = 39, cudaDevAttrAsyncEngineCount = 40, cudaDevAttrUnifiedAddressing = 41, cudaDevAttrMaxTexture1DLayeredWidth = 42, cudaDevAttrMaxTexture1DLayeredLayers = 43, cudaDevAttrMaxTexture2DGatherWidth = 45, cudaDevAttrMaxTexture2DGatherHeight = 46, cudaDevAttrMaxTexture3DWidthAlt = 47, cudaDevAttrMaxTexture3DHeightAlt = 48, cudaDevAttrMaxTexture3DDepthAlt = 49, cudaDevAttrPciDomainId = 50, cudaDevAttrTexturePitchAlignment = 51, cudaDevAttrMaxTextureCubemapWidth = 52, cudaDevAttrMaxTextureCubemapLayeredWidth = 53, cudaDevAttrMaxTextureCubemapLayeredLayers = 54, cudaDevAttrMaxSurface1DWidth = 55, cudaDevAttrMaxSurface2DWidth = 56, cudaDevAttrMaxSurface2DHeight = 57, cudaDevAttrMaxSurface3DWidth = 58, cudaDevAttrMaxSurface3DHeight = 59, cudaDevAttrMaxSurface3DDepth = 60, cudaDevAttrMaxSurface1DLayeredWidth = 61, cudaDevAttrMaxSurface1DLayeredLayers = 62, cudaDevAttrMaxSurface2DLayeredWidth = 63, cudaDevAttrMaxSurface2DLayeredHeight = 64, cudaDevAttrMaxSurface2DLayeredLayers = 65, cudaDevAttrMaxSurfaceCubemapWidth = 66, cudaDevAttrMaxSurfaceCubemapLayeredWidth = 67, cudaDevAttrMaxSurfaceCubemapLayeredLayers = 68, cudaDevAttrMaxTexture1DLinearWidth = 69, cudaDevAttrMaxTexture2DLinearWidth = 70, cudaDevAttrMaxTexture2DLinearHeight = 71, cudaDevAttrMaxTexture2DLinearPitch = 72, cudaDevAttrMaxTexture2DMipmappedWidth = 73, cudaDevAttrMaxTexture2DMipmappedHeight = 74, cudaDevAttrComputeCapabilityMajor = 75, cudaDevAttrComputeCapabilityMinor = 76, cudaDevAttrMaxTexture1DMipmappedWidth = 77, cudaDevAttrStreamPrioritiesSupported = 78, cudaDevAttrGlobalL1CacheSupported = 79, cudaDevAttrLocalL1CacheSupported = 80, cudaDevAttrMaxSharedMemoryPerMultiprocessor = 81, cudaDevAttrMaxRegistersPerMultiprocessor = 82, cudaDevAttrManagedMemory = 83, cudaDevAttrIsMultiGpuBoard = 84, cudaDevAttrMultiGpuBoardGroupID = 85, cudaDevAttrHostNativeAtomicSupported = 86, cudaDevAttrSingleToDoublePrecisionPerfRatio = 87, cudaDevAttrPageableMemoryAccess = 88, cudaDevAttrConcurrentManagedAccess = 89, cudaDevAttrComputePreemptionSupported = 90, cudaDevAttrCanUseHostPointerForRegisteredMem = 91, } #[repr(u32)] /// CUDA device P2P attributes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaDeviceP2PAttr { cudaDevP2PAttrPerformanceRank = 1, cudaDevP2PAttrAccessSupported = 2, cudaDevP2PAttrNativeAtomicSupported = 3, } /// CUDA device properties #[repr(C)] #[derive(Copy)] pub struct cudaDeviceProp { /// < ASCII string identifying device pub name: [::libc::c_char; 256usize], /// < Global memory available on device in bytes pub totalGlobalMem: usize, /// < Shared memory available per block in bytes pub sharedMemPerBlock: usize, /// < 32-bit registers available per block pub regsPerBlock: ::libc::c_int, /// < Warp size in threads pub warpSize: ::libc::c_int, /// < Maximum pitch in bytes allowed by memory copies pub memPitch: usize, /// < Maximum number of threads per block pub maxThreadsPerBlock: ::libc::c_int, /// < Maximum size of each dimension of a block pub maxThreadsDim: [::libc::c_int; 3usize], /// < Maximum size of each dimension of a grid pub maxGridSize: [::libc::c_int; 3usize], /// < Clock frequency in kilohertz pub clockRate: ::libc::c_int, /// < Constant memory available on device in bytes pub totalConstMem: usize, /// < Major compute capability pub major: ::libc::c_int, /// < Minor compute capability pub minor: ::libc::c_int, /// < Alignment requirement for textures pub textureAlignment: usize, /// < Pitch alignment requirement for texture references bound to pitched memory pub texturePitchAlignment: usize, /// < Device can concurrently copy memory and execute a kernel. Deprecated. Use instead asyncEngineCount. pub deviceOverlap: ::libc::c_int, /// < Number of multiprocessors on device pub multiProcessorCount: ::libc::c_int, /// < Specified whether there is a run time limit on kernels pub kernelExecTimeoutEnabled: ::libc::c_int, /// < Device is integrated as opposed to discrete pub integrated: ::libc::c_int, /// < Device can map host memory with cudaHostAlloc/cudaHostGetDevicePointer pub canMapHostMemory: ::libc::c_int, /// < Compute mode (See ::cudaComputeMode) pub computeMode: ::libc::c_int, /// < Maximum 1D texture size pub maxTexture1D: ::libc::c_int, /// < Maximum 1D mipmapped texture size pub maxTexture1DMipmap: ::libc::c_int, /// < Maximum size for 1D textures bound to linear memory pub maxTexture1DLinear: ::libc::c_int, /// < Maximum 2D texture dimensions pub maxTexture2D: [::libc::c_int; 2usize], /// < Maximum 2D mipmapped texture dimensions pub maxTexture2DMipmap: [::libc::c_int; 2usize], /// < Maximum dimensions (width, height, pitch) for 2D textures bound to pitched memory pub maxTexture2DLinear: [::libc::c_int; 3usize], /// < Maximum 2D texture dimensions if texture gather operations have to be performed pub maxTexture2DGather: [::libc::c_int; 2usize], /// < Maximum 3D texture dimensions pub maxTexture3D: [::libc::c_int; 3usize], /// < Maximum alternate 3D texture dimensions pub maxTexture3DAlt: [::libc::c_int; 3usize], /// < Maximum Cubemap texture dimensions pub maxTextureCubemap: ::libc::c_int, /// < Maximum 1D layered texture dimensions pub maxTexture1DLayered: [::libc::c_int; 2usize], /// < Maximum 2D layered texture dimensions pub maxTexture2DLayered: [::libc::c_int; 3usize], /// < Maximum Cubemap layered texture dimensions pub maxTextureCubemapLayered: [::libc::c_int; 2usize], /// < Maximum 1D surface size pub maxSurface1D: ::libc::c_int, /// < Maximum 2D surface dimensions pub maxSurface2D: [::libc::c_int; 2usize], /// < Maximum 3D surface dimensions pub maxSurface3D: [::libc::c_int; 3usize], /// < Maximum 1D layered surface dimensions pub maxSurface1DLayered: [::libc::c_int; 2usize], /// < Maximum 2D layered surface dimensions pub maxSurface2DLayered: [::libc::c_int; 3usize], /// < Maximum Cubemap surface dimensions pub maxSurfaceCubemap: ::libc::c_int, /// < Maximum Cubemap layered surface dimensions pub maxSurfaceCubemapLayered: [::libc::c_int; 2usize], /// < Alignment requirements for surfaces pub surfaceAlignment: usize, /// < Device can possibly execute multiple kernels concurrently pub concurrentKernels: ::libc::c_int, /// < Device has ECC support enabled pub ECCEnabled: ::libc::c_int, /// < PCI bus ID of the device pub pciBusID: ::libc::c_int, /// < PCI device ID of the device pub pciDeviceID: ::libc::c_int, /// < PCI domain ID of the device pub pciDomainID: ::libc::c_int, /// < 1 if device is a Tesla device using TCC driver, 0 otherwise pub tccDriver: ::libc::c_int, /// < Number of asynchronous engines pub asyncEngineCount: ::libc::c_int, /// < Device shares a unified address space with the host pub unifiedAddressing: ::libc::c_int, /// < Peak memory clock frequency in kilohertz pub memoryClockRate: ::libc::c_int, /// < Global memory bus width in bits pub memoryBusWidth: ::libc::c_int, /// < Size of L2 cache in bytes pub l2CacheSize: ::libc::c_int, /// < Maximum resident threads per multiprocessor pub maxThreadsPerMultiProcessor: ::libc::c_int, /// < Device supports stream priorities pub streamPrioritiesSupported: ::libc::c_int, /// < Device supports caching globals in L1 pub globalL1CacheSupported: ::libc::c_int, /// < Device supports caching locals in L1 pub localL1CacheSupported: ::libc::c_int, /// < Shared memory available per multiprocessor in bytes pub sharedMemPerMultiprocessor: usize, /// < 32-bit registers available per multiprocessor pub regsPerMultiprocessor: ::libc::c_int, /// < Device supports allocating managed memory on this system pub managedMemory: ::libc::c_int, /// < Device is on a multi-GPU board pub isMultiGpuBoard: ::libc::c_int, /// < Unique identifier for a group of devices on the same multi-GPU board pub multiGpuBoardGroupID: ::libc::c_int, /// < Link between the device and the host supports native atomic operations pub hostNativeAtomicSupported: ::libc::c_int, /// < Ratio of single precision performance (in floating-point operations per second) to double precision performance pub singleToDoublePrecisionPerfRatio: ::libc::c_int, /// < Device supports coherently accessing pageable memory without calling cudaHostRegister on it pub pageableMemoryAccess: ::libc::c_int, /// < Device can coherently access managed memory concurrently with the CPU pub concurrentManagedAccess: ::libc::c_int, } #[test] fn bindgen_test_layout_cudaDeviceProp() { assert_eq!( ::std::mem::size_of::<cudaDeviceProp>(), 648usize, concat!("Size of: ", stringify!(cudaDeviceProp)) ); assert_eq!( ::std::mem::align_of::<cudaDeviceProp>(), 8usize, concat!("Alignment of ", stringify!(cudaDeviceProp)) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).name as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(name) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).totalGlobalMem as *const _ as usize }, 256usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(totalGlobalMem) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).sharedMemPerBlock as *const _ as usize }, 264usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(sharedMemPerBlock) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).regsPerBlock as *const _ as usize }, 272usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(regsPerBlock) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).warpSize as *const _ as usize }, 276usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(warpSize) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).memPitch as *const _ as usize }, 280usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(memPitch) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxThreadsPerBlock as *const _ as usize }, 288usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxThreadsPerBlock) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxThreadsDim as *const _ as usize }, 292usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxThreadsDim) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxGridSize as *const _ as usize }, 304usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxGridSize) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).clockRate as *const _ as usize }, 316usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(clockRate) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).totalConstMem as *const _ as usize }, 320usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(totalConstMem) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).major as *const _ as usize }, 328usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(major) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).minor as *const _ as usize }, 332usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(minor) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).textureAlignment as *const _ as usize }, 336usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(textureAlignment) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).texturePitchAlignment as *const _ as usize }, 344usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(texturePitchAlignment) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).deviceOverlap as *const _ as usize }, 352usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(deviceOverlap) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).multiProcessorCount as *const _ as usize }, 356usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(multiProcessorCount) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).kernelExecTimeoutEnabled as *const _ as usize }, 360usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(kernelExecTimeoutEnabled) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).integrated as *const _ as usize }, 364usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(integrated) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).canMapHostMemory as *const _ as usize }, 368usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(canMapHostMemory) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).computeMode as *const _ as usize }, 372usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(computeMode) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture1D as *const _ as usize }, 376usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture1D) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture1DMipmap as *const _ as usize }, 380usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture1DMipmap) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture1DLinear as *const _ as usize }, 384usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture1DLinear) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture2D as *const _ as usize }, 388usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture2D) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture2DMipmap as *const _ as usize }, 396usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture2DMipmap) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture2DLinear as *const _ as usize }, 404usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture2DLinear) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture2DGather as *const _ as usize }, 416usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture2DGather) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture3D as *const _ as usize }, 424usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture3D) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture3DAlt as *const _ as usize }, 436usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture3DAlt) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTextureCubemap as *const _ as usize }, 448usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTextureCubemap) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture1DLayered as *const _ as usize }, 452usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture1DLayered) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTexture2DLayered as *const _ as usize }, 460usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTexture2DLayered) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxTextureCubemapLayered as *const _ as usize }, 472usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxTextureCubemapLayered) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxSurface1D as *const _ as usize }, 480usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxSurface1D) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxSurface2D as *const _ as usize }, 484usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxSurface2D) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxSurface3D as *const _ as usize }, 492usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxSurface3D) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxSurface1DLayered as *const _ as usize }, 504usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxSurface1DLayered) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxSurface2DLayered as *const _ as usize }, 512usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxSurface2DLayered) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxSurfaceCubemap as *const _ as usize }, 524usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxSurfaceCubemap) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxSurfaceCubemapLayered as *const _ as usize }, 528usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxSurfaceCubemapLayered) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).surfaceAlignment as *const _ as usize }, 536usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(surfaceAlignment) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).concurrentKernels as *const _ as usize }, 544usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(concurrentKernels) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).ECCEnabled as *const _ as usize }, 548usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(ECCEnabled) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).pciBusID as *const _ as usize }, 552usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(pciBusID) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).pciDeviceID as *const _ as usize }, 556usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(pciDeviceID) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).pciDomainID as *const _ as usize }, 560usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(pciDomainID) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).tccDriver as *const _ as usize }, 564usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(tccDriver) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).asyncEngineCount as *const _ as usize }, 568usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(asyncEngineCount) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).unifiedAddressing as *const _ as usize }, 572usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(unifiedAddressing) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).memoryClockRate as *const _ as usize }, 576usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(memoryClockRate) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).memoryBusWidth as *const _ as usize }, 580usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(memoryBusWidth) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).l2CacheSize as *const _ as usize }, 584usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(l2CacheSize) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).maxThreadsPerMultiProcessor as *const _ as usize }, 588usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(maxThreadsPerMultiProcessor) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).streamPrioritiesSupported as *const _ as usize }, 592usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(streamPrioritiesSupported) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).globalL1CacheSupported as *const _ as usize }, 596usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(globalL1CacheSupported) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).localL1CacheSupported as *const _ as usize }, 600usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(localL1CacheSupported) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).sharedMemPerMultiprocessor as *const _ as usize }, 608usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(sharedMemPerMultiprocessor) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).regsPerMultiprocessor as *const _ as usize }, 616usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(regsPerMultiprocessor) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).managedMemory as *const _ as usize }, 620usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(managedMemory) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).isMultiGpuBoard as *const _ as usize }, 624usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(isMultiGpuBoard) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).multiGpuBoardGroupID as *const _ as usize }, 628usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(multiGpuBoardGroupID) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).hostNativeAtomicSupported as *const _ as usize }, 632usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(hostNativeAtomicSupported) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).singleToDoublePrecisionPerfRatio as *const _ as usize }, 636usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(singleToDoublePrecisionPerfRatio) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).pageableMemoryAccess as *const _ as usize }, 640usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(pageableMemoryAccess) ) ); assert_eq!( unsafe { &(*(0 as *const cudaDeviceProp)).concurrentManagedAccess as *const _ as usize }, 644usize, concat!( "Alignment of field: ", stringify!(cudaDeviceProp), "::", stringify!(concurrentManagedAccess) ) ); } impl Clone for cudaDeviceProp { fn clone(&self) -> Self { *self } } /// CUDA IPC event handle #[repr(C)] #[derive(Copy)] pub struct cudaIpcEventHandle_st { pub reserved: [::libc::c_char; 64usize], } #[test] fn bindgen_test_layout_cudaIpcEventHandle_st() { assert_eq!( ::std::mem::size_of::<cudaIpcEventHandle_st>(), 64usize, concat!("Size of: ", stringify!(cudaIpcEventHandle_st)) ); assert_eq!( ::std::mem::align_of::<cudaIpcEventHandle_st>(), 1usize, concat!("Alignment of ", stringify!(cudaIpcEventHandle_st)) ); assert_eq!( unsafe { &(*(0 as *const cudaIpcEventHandle_st)).reserved as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaIpcEventHandle_st), "::", stringify!(reserved) ) ); } impl Clone for cudaIpcEventHandle_st { fn clone(&self) -> Self { *self } } pub type cudaIpcEventHandle_t = cudaIpcEventHandle_st; /// CUDA IPC memory handle #[repr(C)] #[derive(Copy)] pub struct cudaIpcMemHandle_st { pub reserved: [::libc::c_char; 64usize], } #[test] fn bindgen_test_layout_cudaIpcMemHandle_st() { assert_eq!( ::std::mem::size_of::<cudaIpcMemHandle_st>(), 64usize, concat!("Size of: ", stringify!(cudaIpcMemHandle_st)) ); assert_eq!( ::std::mem::align_of::<cudaIpcMemHandle_st>(), 1usize, concat!("Alignment of ", stringify!(cudaIpcMemHandle_st)) ); assert_eq!( unsafe { &(*(0 as *const cudaIpcMemHandle_st)).reserved as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaIpcMemHandle_st), "::", stringify!(reserved) ) ); } impl Clone for cudaIpcMemHandle_st { fn clone(&self) -> Self { *self } } pub type cudaIpcMemHandle_t = cudaIpcMemHandle_st; /// CUDA Error types pub use self::cudaError as cudaError_t; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct CUstream_st { _unused: [u8; 0], } /// CUDA stream pub type cudaStream_t = *mut CUstream_st; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct CUevent_st { _unused: [u8; 0], } /// CUDA event types pub type cudaEvent_t = *mut CUevent_st; /// CUDA graphics resource types pub type cudaGraphicsResource_t = *mut cudaGraphicsResource; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct CUuuid_st { _unused: [u8; 0], } /// CUDA UUID types pub type cudaUUID_t = CUuuid_st; /// CUDA output file modes pub use self::cudaOutputMode as cudaOutputMode_t; #[repr(u32)] /// * /// * /// * #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaRoundMode { cudaRoundNearest = 0, cudaRoundZero = 1, cudaRoundPosInf = 2, cudaRoundMinInf = 3, } #[repr(u32)] /// CUDA Surface boundary modes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaSurfaceBoundaryMode { cudaBoundaryModeZero = 0, cudaBoundaryModeClamp = 1, cudaBoundaryModeTrap = 2, } #[repr(u32)] /// CUDA Surface format modes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaSurfaceFormatMode { cudaFormatModeForced = 0, cudaFormatModeAuto = 1, } /// CUDA Surface reference #[repr(C)] #[derive(Debug, Copy)] pub struct surfaceReference { /// Channel descriptor for surface reference pub channelDesc: cudaChannelFormatDesc, } #[test] fn bindgen_test_layout_surfaceReference() { assert_eq!( ::std::mem::size_of::<surfaceReference>(), 20usize, concat!("Size of: ", stringify!(surfaceReference)) ); assert_eq!( ::std::mem::align_of::<surfaceReference>(), 4usize, concat!("Alignment of ", stringify!(surfaceReference)) ); assert_eq!( unsafe { &(*(0 as *const surfaceReference)).channelDesc as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(surfaceReference), "::", stringify!(channelDesc) ) ); } impl Clone for surfaceReference { fn clone(&self) -> Self { *self } } /// An opaque value that represents a CUDA Surface object pub type cudaSurfaceObject_t = ::libc::c_ulonglong; #[repr(u32)] /// CUDA texture address modes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaTextureAddressMode { cudaAddressModeWrap = 0, cudaAddressModeClamp = 1, cudaAddressModeMirror = 2, cudaAddressModeBorder = 3, } #[repr(u32)] /// CUDA texture filter modes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaTextureFilterMode { cudaFilterModePoint = 0, cudaFilterModeLinear = 1, } #[repr(u32)] /// CUDA texture read modes #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaTextureReadMode { cudaReadModeElementType = 0, cudaReadModeNormalizedFloat = 1, } /// CUDA texture reference #[repr(C)] #[derive(Debug, Copy)] pub struct textureReference { /// Indicates whether texture reads are normalized or not pub normalized: ::libc::c_int, /// Texture filter mode pub filterMode: cudaTextureFilterMode, /// Texture address mode for up to 3 dimensions pub addressMode: [cudaTextureAddressMode; 3usize], /// Channel descriptor for the texture reference pub channelDesc: cudaChannelFormatDesc, /// Perform sRGB->linear conversion during texture read pub sRGB: ::libc::c_int, /// Limit to the anisotropy ratio pub maxAnisotropy: ::libc::c_uint, /// Mipmap filter mode pub mipmapFilterMode: cudaTextureFilterMode, /// Offset applied to the supplied mipmap level pub mipmapLevelBias: f32, /// Lower end of the mipmap level range to clamp access to pub minMipmapLevelClamp: f32, /// Upper end of the mipmap level range to clamp access to pub maxMipmapLevelClamp: f32, pub __cudaReserved: [::libc::c_int; 15usize], } #[test] fn bindgen_test_layout_textureReference() { assert_eq!( ::std::mem::size_of::<textureReference>(), 124usize, concat!("Size of: ", stringify!(textureReference)) ); assert_eq!( ::std::mem::align_of::<textureReference>(), 4usize, concat!("Alignment of ", stringify!(textureReference)) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).normalized as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(normalized) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).filterMode as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(filterMode) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).addressMode as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(addressMode) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).channelDesc as *const _ as usize }, 20usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(channelDesc) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).sRGB as *const _ as usize }, 40usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(sRGB) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).maxAnisotropy as *const _ as usize }, 44usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(maxAnisotropy) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).mipmapFilterMode as *const _ as usize }, 48usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(mipmapFilterMode) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).mipmapLevelBias as *const _ as usize }, 52usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(mipmapLevelBias) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).minMipmapLevelClamp as *const _ as usize }, 56usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(minMipmapLevelClamp) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).maxMipmapLevelClamp as *const _ as usize }, 60usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(maxMipmapLevelClamp) ) ); assert_eq!( unsafe { &(*(0 as *const textureReference)).__cudaReserved as *const _ as usize }, 64usize, concat!( "Alignment of field: ", stringify!(textureReference), "::", stringify!(__cudaReserved) ) ); } impl Clone for textureReference { fn clone(&self) -> Self { *self } } /// CUDA texture descriptor #[repr(C)] #[derive(Debug, Copy)] pub struct cudaTextureDesc { /// Texture address mode for up to 3 dimensions pub addressMode: [cudaTextureAddressMode; 3usize], /// Texture filter mode pub filterMode: cudaTextureFilterMode, /// Texture read mode pub readMode: cudaTextureReadMode, /// Perform sRGB->linear conversion during texture read pub sRGB: ::libc::c_int, /// Texture Border Color pub borderColor: [f32; 4usize], /// Indicates whether texture reads are normalized or not pub normalizedCoords: ::libc::c_int, /// Limit to the anisotropy ratio pub maxAnisotropy: ::libc::c_uint, /// Mipmap filter mode pub mipmapFilterMode: cudaTextureFilterMode, /// Offset applied to the supplied mipmap level pub mipmapLevelBias: f32, /// Lower end of the mipmap level range to clamp access to pub minMipmapLevelClamp: f32, /// Upper end of the mipmap level range to clamp access to pub maxMipmapLevelClamp: f32, } #[test] fn bindgen_test_layout_cudaTextureDesc() { assert_eq!( ::std::mem::size_of::<cudaTextureDesc>(), 64usize, concat!("Size of: ", stringify!(cudaTextureDesc)) ); assert_eq!( ::std::mem::align_of::<cudaTextureDesc>(), 4usize, concat!("Alignment of ", stringify!(cudaTextureDesc)) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).addressMode as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(addressMode) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).filterMode as *const _ as usize }, 12usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(filterMode) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).readMode as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(readMode) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).sRGB as *const _ as usize }, 20usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(sRGB) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).borderColor as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(borderColor) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).normalizedCoords as *const _ as usize }, 40usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(normalizedCoords) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).maxAnisotropy as *const _ as usize }, 44usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(maxAnisotropy) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).mipmapFilterMode as *const _ as usize }, 48usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(mipmapFilterMode) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).mipmapLevelBias as *const _ as usize }, 52usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(mipmapLevelBias) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).minMipmapLevelClamp as *const _ as usize }, 56usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(minMipmapLevelClamp) ) ); assert_eq!( unsafe { &(*(0 as *const cudaTextureDesc)).maxMipmapLevelClamp as *const _ as usize }, 60usize, concat!( "Alignment of field: ", stringify!(cudaTextureDesc), "::", stringify!(maxMipmapLevelClamp) ) ); } impl Clone for cudaTextureDesc { fn clone(&self) -> Self { *self } } /// An opaque value that represents a CUDA texture object pub type cudaTextureObject_t = ::libc::c_ulonglong; #[repr(C)] #[derive(Debug, Copy)] pub struct char1 { pub x: ::libc::c_schar, } #[test] fn bindgen_test_layout_char1() { assert_eq!( ::std::mem::size_of::<char1>(), 1usize, concat!("Size of: ", stringify!(char1)) ); assert_eq!( ::std::mem::align_of::<char1>(), 1usize, concat!("Alignment of ", stringify!(char1)) ); assert_eq!( unsafe { &(*(0 as *const char1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(char1), "::", stringify!(x) ) ); } impl Clone for char1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uchar1 { pub x: ::libc::c_uchar, } #[test] fn bindgen_test_layout_uchar1() { assert_eq!( ::std::mem::size_of::<uchar1>(), 1usize, concat!("Size of: ", stringify!(uchar1)) ); assert_eq!( ::std::mem::align_of::<uchar1>(), 1usize, concat!("Alignment of ", stringify!(uchar1)) ); assert_eq!( unsafe { &(*(0 as *const uchar1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uchar1), "::", stringify!(x) ) ); } impl Clone for uchar1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct char2 { pub x: ::libc::c_schar, pub y: ::libc::c_schar, pub __bindgen_align: [u16; 0usize], } #[test] fn bindgen_test_layout_char2() { assert_eq!( ::std::mem::size_of::<char2>(), 2usize, concat!("Size of: ", stringify!(char2)) ); assert_eq!( ::std::mem::align_of::<char2>(), 2usize, concat!("Alignment of ", stringify!(char2)) ); assert_eq!( unsafe { &(*(0 as *const char2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(char2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const char2)).y as *const _ as usize }, 1usize, concat!( "Alignment of field: ", stringify!(char2), "::", stringify!(y) ) ); } impl Clone for char2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uchar2 { pub x: ::libc::c_uchar, pub y: ::libc::c_uchar, pub __bindgen_align: [u16; 0usize], } #[test] fn bindgen_test_layout_uchar2() { assert_eq!( ::std::mem::size_of::<uchar2>(), 2usize, concat!("Size of: ", stringify!(uchar2)) ); assert_eq!( ::std::mem::align_of::<uchar2>(), 2usize, concat!("Alignment of ", stringify!(uchar2)) ); assert_eq!( unsafe { &(*(0 as *const uchar2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uchar2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const uchar2)).y as *const _ as usize }, 1usize, concat!( "Alignment of field: ", stringify!(uchar2), "::", stringify!(y) ) ); } impl Clone for uchar2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct char3 { pub x: ::libc::c_schar, pub y: ::libc::c_schar, pub z: ::libc::c_schar, } #[test] fn bindgen_test_layout_char3() { assert_eq!( ::std::mem::size_of::<char3>(), 3usize, concat!("Size of: ", stringify!(char3)) ); assert_eq!( ::std::mem::align_of::<char3>(), 1usize, concat!("Alignment of ", stringify!(char3)) ); assert_eq!( unsafe { &(*(0 as *const char3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(char3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const char3)).y as *const _ as usize }, 1usize, concat!( "Alignment of field: ", stringify!(char3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const char3)).z as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(char3), "::", stringify!(z) ) ); } impl Clone for char3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uchar3 { pub x: ::libc::c_uchar, pub y: ::libc::c_uchar, pub z: ::libc::c_uchar, } #[test] fn bindgen_test_layout_uchar3() { assert_eq!( ::std::mem::size_of::<uchar3>(), 3usize, concat!("Size of: ", stringify!(uchar3)) ); assert_eq!( ::std::mem::align_of::<uchar3>(), 1usize, concat!("Alignment of ", stringify!(uchar3)) ); assert_eq!( unsafe { &(*(0 as *const uchar3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uchar3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const uchar3)).y as *const _ as usize }, 1usize, concat!( "Alignment of field: ", stringify!(uchar3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const uchar3)).z as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(uchar3), "::", stringify!(z) ) ); } impl Clone for uchar3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct char4 { pub x: ::libc::c_schar, pub y: ::libc::c_schar, pub z: ::libc::c_schar, pub w: ::libc::c_schar, pub __bindgen_align: [u32; 0usize], } #[test] fn bindgen_test_layout_char4() { assert_eq!( ::std::mem::size_of::<char4>(), 4usize, concat!("Size of: ", stringify!(char4)) ); assert_eq!( ::std::mem::align_of::<char4>(), 4usize, concat!("Alignment of ", stringify!(char4)) ); assert_eq!( unsafe { &(*(0 as *const char4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(char4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const char4)).y as *const _ as usize }, 1usize, concat!( "Alignment of field: ", stringify!(char4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const char4)).z as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(char4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const char4)).w as *const _ as usize }, 3usize, concat!( "Alignment of field: ", stringify!(char4), "::", stringify!(w) ) ); } impl Clone for char4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uchar4 { pub x: ::libc::c_uchar, pub y: ::libc::c_uchar, pub z: ::libc::c_uchar, pub w: ::libc::c_uchar, pub __bindgen_align: [u32; 0usize], } #[test] fn bindgen_test_layout_uchar4() { assert_eq!( ::std::mem::size_of::<uchar4>(), 4usize, concat!("Size of: ", stringify!(uchar4)) ); assert_eq!( ::std::mem::align_of::<uchar4>(), 4usize, concat!("Alignment of ", stringify!(uchar4)) ); assert_eq!( unsafe { &(*(0 as *const uchar4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uchar4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const uchar4)).y as *const _ as usize }, 1usize, concat!( "Alignment of field: ", stringify!(uchar4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const uchar4)).z as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(uchar4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const uchar4)).w as *const _ as usize }, 3usize, concat!( "Alignment of field: ", stringify!(uchar4), "::", stringify!(w) ) ); } impl Clone for uchar4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct short1 { pub x: ::libc::c_short, } #[test] fn bindgen_test_layout_short1() { assert_eq!( ::std::mem::size_of::<short1>(), 2usize, concat!("Size of: ", stringify!(short1)) ); assert_eq!( ::std::mem::align_of::<short1>(), 2usize, concat!("Alignment of ", stringify!(short1)) ); assert_eq!( unsafe { &(*(0 as *const short1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(short1), "::", stringify!(x) ) ); } impl Clone for short1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ushort1 { pub x: ::libc::c_ushort, } #[test] fn bindgen_test_layout_ushort1() { assert_eq!( ::std::mem::size_of::<ushort1>(), 2usize, concat!("Size of: ", stringify!(ushort1)) ); assert_eq!( ::std::mem::align_of::<ushort1>(), 2usize, concat!("Alignment of ", stringify!(ushort1)) ); assert_eq!( unsafe { &(*(0 as *const ushort1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ushort1), "::", stringify!(x) ) ); } impl Clone for ushort1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct short2 { pub x: ::libc::c_short, pub y: ::libc::c_short, pub __bindgen_align: [u32; 0usize], } #[test] fn bindgen_test_layout_short2() { assert_eq!( ::std::mem::size_of::<short2>(), 4usize, concat!("Size of: ", stringify!(short2)) ); assert_eq!( ::std::mem::align_of::<short2>(), 4usize, concat!("Alignment of ", stringify!(short2)) ); assert_eq!( unsafe { &(*(0 as *const short2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(short2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const short2)).y as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(short2), "::", stringify!(y) ) ); } impl Clone for short2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ushort2 { pub x: ::libc::c_ushort, pub y: ::libc::c_ushort, pub __bindgen_align: [u32; 0usize], } #[test] fn bindgen_test_layout_ushort2() { assert_eq!( ::std::mem::size_of::<ushort2>(), 4usize, concat!("Size of: ", stringify!(ushort2)) ); assert_eq!( ::std::mem::align_of::<ushort2>(), 4usize, concat!("Alignment of ", stringify!(ushort2)) ); assert_eq!( unsafe { &(*(0 as *const ushort2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ushort2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ushort2)).y as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(ushort2), "::", stringify!(y) ) ); } impl Clone for ushort2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct short3 { pub x: ::libc::c_short, pub y: ::libc::c_short, pub z: ::libc::c_short, } #[test] fn bindgen_test_layout_short3() { assert_eq!( ::std::mem::size_of::<short3>(), 6usize, concat!("Size of: ", stringify!(short3)) ); assert_eq!( ::std::mem::align_of::<short3>(), 2usize, concat!("Alignment of ", stringify!(short3)) ); assert_eq!( unsafe { &(*(0 as *const short3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(short3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const short3)).y as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(short3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const short3)).z as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(short3), "::", stringify!(z) ) ); } impl Clone for short3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ushort3 { pub x: ::libc::c_ushort, pub y: ::libc::c_ushort, pub z: ::libc::c_ushort, } #[test] fn bindgen_test_layout_ushort3() { assert_eq!( ::std::mem::size_of::<ushort3>(), 6usize, concat!("Size of: ", stringify!(ushort3)) ); assert_eq!( ::std::mem::align_of::<ushort3>(), 2usize, concat!("Alignment of ", stringify!(ushort3)) ); assert_eq!( unsafe { &(*(0 as *const ushort3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ushort3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ushort3)).y as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(ushort3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const ushort3)).z as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(ushort3), "::", stringify!(z) ) ); } impl Clone for ushort3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct short4 { pub x: ::libc::c_short, pub y: ::libc::c_short, pub z: ::libc::c_short, pub w: ::libc::c_short, pub __bindgen_align: [u64; 0usize], } #[test] fn bindgen_test_layout_short4() { assert_eq!( ::std::mem::size_of::<short4>(), 8usize, concat!("Size of: ", stringify!(short4)) ); assert_eq!( ::std::mem::align_of::<short4>(), 8usize, concat!("Alignment of ", stringify!(short4)) ); assert_eq!( unsafe { &(*(0 as *const short4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(short4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const short4)).y as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(short4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const short4)).z as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(short4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const short4)).w as *const _ as usize }, 6usize, concat!( "Alignment of field: ", stringify!(short4), "::", stringify!(w) ) ); } impl Clone for short4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ushort4 { pub x: ::libc::c_ushort, pub y: ::libc::c_ushort, pub z: ::libc::c_ushort, pub w: ::libc::c_ushort, pub __bindgen_align: [u64; 0usize], } #[test] fn bindgen_test_layout_ushort4() { assert_eq!( ::std::mem::size_of::<ushort4>(), 8usize, concat!("Size of: ", stringify!(ushort4)) ); assert_eq!( ::std::mem::align_of::<ushort4>(), 8usize, concat!("Alignment of ", stringify!(ushort4)) ); assert_eq!( unsafe { &(*(0 as *const ushort4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ushort4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ushort4)).y as *const _ as usize }, 2usize, concat!( "Alignment of field: ", stringify!(ushort4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const ushort4)).z as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(ushort4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const ushort4)).w as *const _ as usize }, 6usize, concat!( "Alignment of field: ", stringify!(ushort4), "::", stringify!(w) ) ); } impl Clone for ushort4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct int1 { pub x: ::libc::c_int, } #[test] fn bindgen_test_layout_int1() { assert_eq!( ::std::mem::size_of::<int1>(), 4usize, concat!("Size of: ", stringify!(int1)) ); assert_eq!( ::std::mem::align_of::<int1>(), 4usize, concat!("Alignment of ", stringify!(int1)) ); assert_eq!( unsafe { &(*(0 as *const int1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(int1), "::", stringify!(x) ) ); } impl Clone for int1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uint1 { pub x: ::libc::c_uint, } #[test] fn bindgen_test_layout_uint1() { assert_eq!( ::std::mem::size_of::<uint1>(), 4usize, concat!("Size of: ", stringify!(uint1)) ); assert_eq!( ::std::mem::align_of::<uint1>(), 4usize, concat!("Alignment of ", stringify!(uint1)) ); assert_eq!( unsafe { &(*(0 as *const uint1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uint1), "::", stringify!(x) ) ); } impl Clone for uint1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct int2 { pub x: ::libc::c_int, pub y: ::libc::c_int, pub __bindgen_align: [u64; 0usize], } #[test] fn bindgen_test_layout_int2() { assert_eq!( ::std::mem::size_of::<int2>(), 8usize, concat!("Size of: ", stringify!(int2)) ); assert_eq!( ::std::mem::align_of::<int2>(), 8usize, concat!("Alignment of ", stringify!(int2)) ); assert_eq!( unsafe { &(*(0 as *const int2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(int2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const int2)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(int2), "::", stringify!(y) ) ); } impl Clone for int2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uint2 { pub x: ::libc::c_uint, pub y: ::libc::c_uint, pub __bindgen_align: [u64; 0usize], } #[test] fn bindgen_test_layout_uint2() { assert_eq!( ::std::mem::size_of::<uint2>(), 8usize, concat!("Size of: ", stringify!(uint2)) ); assert_eq!( ::std::mem::align_of::<uint2>(), 8usize, concat!("Alignment of ", stringify!(uint2)) ); assert_eq!( unsafe { &(*(0 as *const uint2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uint2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const uint2)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(uint2), "::", stringify!(y) ) ); } impl Clone for uint2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct int3 { pub x: ::libc::c_int, pub y: ::libc::c_int, pub z: ::libc::c_int, } #[test] fn bindgen_test_layout_int3() { assert_eq!( ::std::mem::size_of::<int3>(), 12usize, concat!("Size of: ", stringify!(int3)) ); assert_eq!( ::std::mem::align_of::<int3>(), 4usize, concat!("Alignment of ", stringify!(int3)) ); assert_eq!( unsafe { &(*(0 as *const int3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(int3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const int3)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(int3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const int3)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(int3), "::", stringify!(z) ) ); } impl Clone for int3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uint3 { pub x: ::libc::c_uint, pub y: ::libc::c_uint, pub z: ::libc::c_uint, } #[test] fn bindgen_test_layout_uint3() { assert_eq!( ::std::mem::size_of::<uint3>(), 12usize, concat!("Size of: ", stringify!(uint3)) ); assert_eq!( ::std::mem::align_of::<uint3>(), 4usize, concat!("Alignment of ", stringify!(uint3)) ); assert_eq!( unsafe { &(*(0 as *const uint3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uint3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const uint3)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(uint3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const uint3)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(uint3), "::", stringify!(z) ) ); } impl Clone for uint3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct int4 { pub x: ::libc::c_int, pub y: ::libc::c_int, pub z: ::libc::c_int, pub w: ::libc::c_int, } #[test] fn bindgen_test_layout_int4() { assert_eq!( ::std::mem::size_of::<int4>(), 16usize, concat!("Size of: ", stringify!(int4)) ); assert_eq!( unsafe { &(*(0 as *const int4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(int4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const int4)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(int4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const int4)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(int4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const int4)).w as *const _ as usize }, 12usize, concat!( "Alignment of field: ", stringify!(int4), "::", stringify!(w) ) ); } impl Clone for int4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct uint4 { pub x: ::libc::c_uint, pub y: ::libc::c_uint, pub z: ::libc::c_uint, pub w: ::libc::c_uint, } #[test] fn bindgen_test_layout_uint4() { assert_eq!( ::std::mem::size_of::<uint4>(), 16usize, concat!("Size of: ", stringify!(uint4)) ); assert_eq!( unsafe { &(*(0 as *const uint4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(uint4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const uint4)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(uint4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const uint4)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(uint4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const uint4)).w as *const _ as usize }, 12usize, concat!( "Alignment of field: ", stringify!(uint4), "::", stringify!(w) ) ); } impl Clone for uint4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct long1 { pub x: ::libc::c_long, } #[test] fn bindgen_test_layout_long1() { assert_eq!( ::std::mem::size_of::<long1>(), 8usize, concat!("Size of: ", stringify!(long1)) ); assert_eq!( ::std::mem::align_of::<long1>(), 8usize, concat!("Alignment of ", stringify!(long1)) ); assert_eq!( unsafe { &(*(0 as *const long1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(long1), "::", stringify!(x) ) ); } impl Clone for long1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulong1 { pub x: ::libc::c_ulong, } #[test] fn bindgen_test_layout_ulong1() { assert_eq!( ::std::mem::size_of::<ulong1>(), 8usize, concat!("Size of: ", stringify!(ulong1)) ); assert_eq!( ::std::mem::align_of::<ulong1>(), 8usize, concat!("Alignment of ", stringify!(ulong1)) ); assert_eq!( unsafe { &(*(0 as *const ulong1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulong1), "::", stringify!(x) ) ); } impl Clone for ulong1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct long2 { pub x: ::libc::c_long, pub y: ::libc::c_long, } #[test] fn bindgen_test_layout_long2() { assert_eq!( ::std::mem::size_of::<long2>(), 16usize, concat!("Size of: ", stringify!(long2)) ); assert_eq!( unsafe { &(*(0 as *const long2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(long2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const long2)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(long2), "::", stringify!(y) ) ); } impl Clone for long2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulong2 { pub x: ::libc::c_ulong, pub y: ::libc::c_ulong, } #[test] fn bindgen_test_layout_ulong2() { assert_eq!( ::std::mem::size_of::<ulong2>(), 16usize, concat!("Size of: ", stringify!(ulong2)) ); assert_eq!( unsafe { &(*(0 as *const ulong2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulong2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ulong2)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(ulong2), "::", stringify!(y) ) ); } impl Clone for ulong2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct long3 { pub x: ::libc::c_long, pub y: ::libc::c_long, pub z: ::libc::c_long, } #[test] fn bindgen_test_layout_long3() { assert_eq!( ::std::mem::size_of::<long3>(), 24usize, concat!("Size of: ", stringify!(long3)) ); assert_eq!( ::std::mem::align_of::<long3>(), 8usize, concat!("Alignment of ", stringify!(long3)) ); assert_eq!( unsafe { &(*(0 as *const long3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(long3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const long3)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(long3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const long3)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(long3), "::", stringify!(z) ) ); } impl Clone for long3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulong3 { pub x: ::libc::c_ulong, pub y: ::libc::c_ulong, pub z: ::libc::c_ulong, } #[test] fn bindgen_test_layout_ulong3() { assert_eq!( ::std::mem::size_of::<ulong3>(), 24usize, concat!("Size of: ", stringify!(ulong3)) ); assert_eq!( ::std::mem::align_of::<ulong3>(), 8usize, concat!("Alignment of ", stringify!(ulong3)) ); assert_eq!( unsafe { &(*(0 as *const ulong3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulong3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ulong3)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(ulong3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const ulong3)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(ulong3), "::", stringify!(z) ) ); } impl Clone for ulong3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct long4 { pub x: ::libc::c_long, pub y: ::libc::c_long, pub z: ::libc::c_long, pub w: ::libc::c_long, } #[test] fn bindgen_test_layout_long4() { assert_eq!( ::std::mem::size_of::<long4>(), 32usize, concat!("Size of: ", stringify!(long4)) ); assert_eq!( unsafe { &(*(0 as *const long4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(long4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const long4)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(long4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const long4)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(long4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const long4)).w as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(long4), "::", stringify!(w) ) ); } impl Clone for long4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulong4 { pub x: ::libc::c_ulong, pub y: ::libc::c_ulong, pub z: ::libc::c_ulong, pub w: ::libc::c_ulong, } #[test] fn bindgen_test_layout_ulong4() { assert_eq!( ::std::mem::size_of::<ulong4>(), 32usize, concat!("Size of: ", stringify!(ulong4)) ); assert_eq!( unsafe { &(*(0 as *const ulong4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulong4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ulong4)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(ulong4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const ulong4)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(ulong4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const ulong4)).w as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(ulong4), "::", stringify!(w) ) ); } impl Clone for ulong4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct float1 { pub x: f32, } #[test] fn bindgen_test_layout_float1() { assert_eq!( ::std::mem::size_of::<float1>(), 4usize, concat!("Size of: ", stringify!(float1)) ); assert_eq!( ::std::mem::align_of::<float1>(), 4usize, concat!("Alignment of ", stringify!(float1)) ); assert_eq!( unsafe { &(*(0 as *const float1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(float1), "::", stringify!(x) ) ); } impl Clone for float1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct float2 { pub x: f32, pub y: f32, pub __bindgen_align: [u64; 0usize], } #[test] fn bindgen_test_layout_float2() { assert_eq!( ::std::mem::size_of::<float2>(), 8usize, concat!("Size of: ", stringify!(float2)) ); assert_eq!( ::std::mem::align_of::<float2>(), 8usize, concat!("Alignment of ", stringify!(float2)) ); assert_eq!( unsafe { &(*(0 as *const float2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(float2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const float2)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(float2), "::", stringify!(y) ) ); } impl Clone for float2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct float3 { pub x: f32, pub y: f32, pub z: f32, } #[test] fn bindgen_test_layout_float3() { assert_eq!( ::std::mem::size_of::<float3>(), 12usize, concat!("Size of: ", stringify!(float3)) ); assert_eq!( ::std::mem::align_of::<float3>(), 4usize, concat!("Alignment of ", stringify!(float3)) ); assert_eq!( unsafe { &(*(0 as *const float3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(float3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const float3)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(float3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const float3)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(float3), "::", stringify!(z) ) ); } impl Clone for float3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct float4 { pub x: f32, pub y: f32, pub z: f32, pub w: f32, } #[test] fn bindgen_test_layout_float4() { assert_eq!( ::std::mem::size_of::<float4>(), 16usize, concat!("Size of: ", stringify!(float4)) ); assert_eq!( unsafe { &(*(0 as *const float4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(float4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const float4)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(float4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const float4)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(float4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const float4)).w as *const _ as usize }, 12usize, concat!( "Alignment of field: ", stringify!(float4), "::", stringify!(w) ) ); } impl Clone for float4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct longlong1 { pub x: ::libc::c_longlong, } #[test] fn bindgen_test_layout_longlong1() { assert_eq!( ::std::mem::size_of::<longlong1>(), 8usize, concat!("Size of: ", stringify!(longlong1)) ); assert_eq!( ::std::mem::align_of::<longlong1>(), 8usize, concat!("Alignment of ", stringify!(longlong1)) ); assert_eq!( unsafe { &(*(0 as *const longlong1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(longlong1), "::", stringify!(x) ) ); } impl Clone for longlong1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulonglong1 { pub x: ::libc::c_ulonglong, } #[test] fn bindgen_test_layout_ulonglong1() { assert_eq!( ::std::mem::size_of::<ulonglong1>(), 8usize, concat!("Size of: ", stringify!(ulonglong1)) ); assert_eq!( ::std::mem::align_of::<ulonglong1>(), 8usize, concat!("Alignment of ", stringify!(ulonglong1)) ); assert_eq!( unsafe { &(*(0 as *const ulonglong1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulonglong1), "::", stringify!(x) ) ); } impl Clone for ulonglong1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct longlong2 { pub x: ::libc::c_longlong, pub y: ::libc::c_longlong, } #[test] fn bindgen_test_layout_longlong2() { assert_eq!( ::std::mem::size_of::<longlong2>(), 16usize, concat!("Size of: ", stringify!(longlong2)) ); assert_eq!( unsafe { &(*(0 as *const longlong2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(longlong2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const longlong2)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(longlong2), "::", stringify!(y) ) ); } impl Clone for longlong2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulonglong2 { pub x: ::libc::c_ulonglong, pub y: ::libc::c_ulonglong, } #[test] fn bindgen_test_layout_ulonglong2() { assert_eq!( ::std::mem::size_of::<ulonglong2>(), 16usize, concat!("Size of: ", stringify!(ulonglong2)) ); assert_eq!( unsafe { &(*(0 as *const ulonglong2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulonglong2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ulonglong2)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(ulonglong2), "::", stringify!(y) ) ); } impl Clone for ulonglong2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct longlong3 { pub x: ::libc::c_longlong, pub y: ::libc::c_longlong, pub z: ::libc::c_longlong, } #[test] fn bindgen_test_layout_longlong3() { assert_eq!( ::std::mem::size_of::<longlong3>(), 24usize, concat!("Size of: ", stringify!(longlong3)) ); assert_eq!( ::std::mem::align_of::<longlong3>(), 8usize, concat!("Alignment of ", stringify!(longlong3)) ); assert_eq!( unsafe { &(*(0 as *const longlong3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(longlong3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const longlong3)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(longlong3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const longlong3)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(longlong3), "::", stringify!(z) ) ); } impl Clone for longlong3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulonglong3 { pub x: ::libc::c_ulonglong, pub y: ::libc::c_ulonglong, pub z: ::libc::c_ulonglong, } #[test] fn bindgen_test_layout_ulonglong3() { assert_eq!( ::std::mem::size_of::<ulonglong3>(), 24usize, concat!("Size of: ", stringify!(ulonglong3)) ); assert_eq!( ::std::mem::align_of::<ulonglong3>(), 8usize, concat!("Alignment of ", stringify!(ulonglong3)) ); assert_eq!( unsafe { &(*(0 as *const ulonglong3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulonglong3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ulonglong3)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(ulonglong3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const ulonglong3)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(ulonglong3), "::", stringify!(z) ) ); } impl Clone for ulonglong3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct longlong4 { pub x: ::libc::c_longlong, pub y: ::libc::c_longlong, pub z: ::libc::c_longlong, pub w: ::libc::c_longlong, } #[test] fn bindgen_test_layout_longlong4() { assert_eq!( ::std::mem::size_of::<longlong4>(), 32usize, concat!("Size of: ", stringify!(longlong4)) ); assert_eq!( unsafe { &(*(0 as *const longlong4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(longlong4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const longlong4)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(longlong4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const longlong4)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(longlong4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const longlong4)).w as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(longlong4), "::", stringify!(w) ) ); } impl Clone for longlong4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct ulonglong4 { pub x: ::libc::c_ulonglong, pub y: ::libc::c_ulonglong, pub z: ::libc::c_ulonglong, pub w: ::libc::c_ulonglong, } #[test] fn bindgen_test_layout_ulonglong4() { assert_eq!( ::std::mem::size_of::<ulonglong4>(), 32usize, concat!("Size of: ", stringify!(ulonglong4)) ); assert_eq!( unsafe { &(*(0 as *const ulonglong4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(ulonglong4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const ulonglong4)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(ulonglong4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const ulonglong4)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(ulonglong4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const ulonglong4)).w as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(ulonglong4), "::", stringify!(w) ) ); } impl Clone for ulonglong4 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct double1 { pub x: f64, } #[test] fn bindgen_test_layout_double1() { assert_eq!( ::std::mem::size_of::<double1>(), 8usize, concat!("Size of: ", stringify!(double1)) ); assert_eq!( ::std::mem::align_of::<double1>(), 8usize, concat!("Alignment of ", stringify!(double1)) ); assert_eq!( unsafe { &(*(0 as *const double1)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(double1), "::", stringify!(x) ) ); } impl Clone for double1 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct double2 { pub x: f64, pub y: f64, } #[test] fn bindgen_test_layout_double2() { assert_eq!( ::std::mem::size_of::<double2>(), 16usize, concat!("Size of: ", stringify!(double2)) ); assert_eq!( unsafe { &(*(0 as *const double2)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(double2), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const double2)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(double2), "::", stringify!(y) ) ); } impl Clone for double2 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct double3 { pub x: f64, pub y: f64, pub z: f64, } #[test] fn bindgen_test_layout_double3() { assert_eq!( ::std::mem::size_of::<double3>(), 24usize, concat!("Size of: ", stringify!(double3)) ); assert_eq!( ::std::mem::align_of::<double3>(), 8usize, concat!("Alignment of ", stringify!(double3)) ); assert_eq!( unsafe { &(*(0 as *const double3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(double3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const double3)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(double3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const double3)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(double3), "::", stringify!(z) ) ); } impl Clone for double3 { fn clone(&self) -> Self { *self } } #[repr(C)] #[derive(Debug, Copy)] pub struct double4 { pub x: f64, pub y: f64, pub z: f64, pub w: f64, } #[test] fn bindgen_test_layout_double4() { assert_eq!( ::std::mem::size_of::<double4>(), 32usize, concat!("Size of: ", stringify!(double4)) ); assert_eq!( unsafe { &(*(0 as *const double4)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(double4), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const double4)).y as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(double4), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const double4)).z as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(double4), "::", stringify!(z) ) ); assert_eq!( unsafe { &(*(0 as *const double4)).w as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(double4), "::", stringify!(w) ) ); } impl Clone for double4 { fn clone(&self) -> Self { *self } } /// * /// * /// * #[repr(C)] #[derive(Debug, Copy)] pub struct dim3 { pub x: ::libc::c_uint, pub y: ::libc::c_uint, pub z: ::libc::c_uint, } #[test] fn bindgen_test_layout_dim3() { assert_eq!( ::std::mem::size_of::<dim3>(), 12usize, concat!("Size of: ", stringify!(dim3)) ); assert_eq!( ::std::mem::align_of::<dim3>(), 4usize, concat!("Alignment of ", stringify!(dim3)) ); assert_eq!( unsafe { &(*(0 as *const dim3)).x as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(dim3), "::", stringify!(x) ) ); assert_eq!( unsafe { &(*(0 as *const dim3)).y as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(dim3), "::", stringify!(y) ) ); assert_eq!( unsafe { &(*(0 as *const dim3)).z as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(dim3), "::", stringify!(z) ) ); } impl Clone for dim3 { fn clone(&self) -> Self { *self } } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudaDataType_t { CUDA_R_16F = 2, CUDA_C_16F = 6, CUDA_R_32F = 0, CUDA_C_32F = 4, CUDA_R_64F = 1, CUDA_C_64F = 5, CUDA_R_8I = 3, CUDA_C_8I = 7, CUDA_R_8U = 8, CUDA_C_8U = 9, CUDA_R_32I = 10, CUDA_C_32I = 11, CUDA_R_32U = 12, CUDA_C_32U = 13, } pub use self::cudaDataType_t as cudaDataType; #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum libraryPropertyType_t { MAJOR_VERSION = 0, MINOR_VERSION = 1, PATCH_LEVEL = 2, } pub use self::libraryPropertyType_t as libraryPropertyType; extern "C" { /// \brief Destroy all allocations and reset all state on the current device /// in the current process. /// /// Explicitly destroys and cleans up all resources associated with the current /// device in the current process. Any subsequent API call to this device will /// reinitialize the device. /// /// Note that this function will reset the device immediately. It is the caller's /// responsibility to ensure that the device is not being accessed by any /// other host threads from the process when this function is called. /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \sa ::cudaDeviceSynchronize pub fn cudaDeviceReset() -> cudaError_t; } extern "C" { /// \brief Wait for compute device to finish /// /// Blocks until the device has completed all preceding requested tasks. /// ::cudaDeviceSynchronize() returns an error if one of the preceding tasks /// has failed. If the ::cudaDeviceScheduleBlockingSync flag was set for /// this device, the host thread will block until the device has finished /// its work. /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \sa ::cudaDeviceReset pub fn cudaDeviceSynchronize() -> cudaError_t; } extern "C" { /// \brief Set resource limits /// /// Setting \p limit to \p value is a request by the application to update /// the current limit maintained by the device. The driver is free to /// modify the requested value to meet h/w requirements (this could be /// clamping to minimum or maximum values, rounding up to nearest element /// size, etc). The application can use ::cudaDeviceGetLimit() to find out /// exactly what the limit has been set to. /// /// Setting each ::cudaLimit has its own specific restrictions, so each is /// discussed here. /// /// - ::cudaLimitStackSize controls the stack size in bytes of each GPU thread. /// /// - ::cudaLimitPrintfFifoSize controls the size in bytes of the shared FIFO /// used by the ::printf() and ::fprintf() device system calls. Setting /// ::cudaLimitPrintfFifoSize must not be performed after launching any kernel /// that uses the ::printf() or ::fprintf() device system calls - in such case /// ::cudaErrorInvalidValue will be returned. /// /// - ::cudaLimitMallocHeapSize controls the size in bytes of the heap used by /// the ::malloc() and ::free() device system calls. Setting /// ::cudaLimitMallocHeapSize must not be performed after launching any kernel /// that uses the ::malloc() or ::free() device system calls - in such case /// ::cudaErrorInvalidValue will be returned. /// /// - ::cudaLimitDevRuntimeSyncDepth controls the maximum nesting depth of a /// grid at which a thread can safely call ::cudaDeviceSynchronize(). Setting /// this limit must be performed before any launch of a kernel that uses the /// device runtime and calls ::cudaDeviceSynchronize() above the default sync /// depth, two levels of grids. Calls to ::cudaDeviceSynchronize() will fail /// with error code ::cudaErrorSyncDepthExceeded if the limitation is /// violated. This limit can be set smaller than the default or up the maximum /// launch depth of 24. When setting this limit, keep in mind that additional /// levels of sync depth require the runtime to reserve large amounts of /// device memory which can no longer be used for user allocations. If these /// reservations of device memory fail, ::cudaDeviceSetLimit will return /// ::cudaErrorMemoryAllocation, and the limit can be reset to a lower value. /// This limit is only applicable to devices of compute capability 3.5 and /// higher. Attempting to set this limit on devices of compute capability less /// than 3.5 will result in the error ::cudaErrorUnsupportedLimit being /// returned. /// /// - ::cudaLimitDevRuntimePendingLaunchCount controls the maximum number of /// outstanding device runtime launches that can be made from the current /// device. A grid is outstanding from the point of launch up until the grid /// is known to have been completed. Device runtime launches which violate /// this limitation fail and return ::cudaErrorLaunchPendingCountExceeded when /// ::cudaGetLastError() is called after launch. If more pending launches than /// the default (2048 launches) are needed for a module using the device /// runtime, this limit can be increased. Keep in mind that being able to /// sustain additional pending launches will require the runtime to reserve /// larger amounts of device memory upfront which can no longer be used for /// allocations. If these reservations fail, ::cudaDeviceSetLimit will return /// ::cudaErrorMemoryAllocation, and the limit can be reset to a lower value. /// This limit is only applicable to devices of compute capability 3.5 and /// higher. Attempting to set this limit on devices of compute capability less /// than 3.5 will result in the error ::cudaErrorUnsupportedLimit being /// returned. /// /// \param limit - Limit to set /// \param value - Size of limit /// /// \return /// ::cudaSuccess, /// ::cudaErrorUnsupportedLimit, /// ::cudaErrorInvalidValue, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaDeviceGetLimit pub fn cudaDeviceSetLimit(limit: cudaLimit, value: usize) -> cudaError_t; } extern "C" { /// \brief Returns resource limits /// /// Returns in \p *pValue the current size of \p limit. The supported /// ::cudaLimit values are: /// - ::cudaLimitStackSize: stack size in bytes of each GPU thread; /// - ::cudaLimitPrintfFifoSize: size in bytes of the shared FIFO used by the /// ::printf() and ::fprintf() device system calls. /// - ::cudaLimitMallocHeapSize: size in bytes of the heap used by the /// ::malloc() and ::free() device system calls; /// - ::cudaLimitDevRuntimeSyncDepth: maximum grid depth at which a /// thread can isssue the device runtime call ::cudaDeviceSynchronize() /// to wait on child grid launches to complete. /// - ::cudaLimitDevRuntimePendingLaunchCount: maximum number of outstanding /// device runtime launches. /// /// \param limit - Limit to query /// \param pValue - Returned size of the limit /// /// \return /// ::cudaSuccess, /// ::cudaErrorUnsupportedLimit, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaDeviceSetLimit pub fn cudaDeviceGetLimit(pValue: *mut usize, limit: cudaLimit) -> cudaError_t; } extern "C" { /// \brief Returns the preferred cache configuration for the current device. /// /// On devices where the L1 cache and shared memory use the same hardware /// resources, this returns through \p pCacheConfig the preferred cache /// configuration for the current device. This is only a preference. The /// runtime will use the requested configuration if possible, but it is free to /// choose a different configuration if required to execute functions. /// /// This will return a \p pCacheConfig of ::cudaFuncCachePreferNone on devices /// where the size of the L1 cache and shared memory are fixed. /// /// The supported cache configurations are: /// - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default) /// - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache /// - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory /// - ::cudaFuncCachePreferEqual: prefer equal size L1 cache and shared memory /// /// \param pCacheConfig - Returned cache configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa cudaDeviceSetCacheConfig, /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)" pub fn cudaDeviceGetCacheConfig(pCacheConfig: *mut cudaFuncCache) -> cudaError_t; } extern "C" { /// \brief Returns numerical values that correspond to the least and /// greatest stream priorities. /// /// Returns in \p *leastPriority and \p *greatestPriority the numerical values that correspond /// to the least and greatest stream priorities respectively. Stream priorities /// follow a convention where lower numbers imply greater priorities. The range of /// meaningful stream priorities is given by [\p *greatestPriority, \p *leastPriority]. /// If the user attempts to create a stream with a priority value that is /// outside the the meaningful range as specified by this API, the priority is /// automatically clamped down or up to either \p *leastPriority or \p *greatestPriority /// respectively. See ::cudaStreamCreateWithPriority for details on creating a /// priority stream. /// A NULL may be passed in for \p *leastPriority or \p *greatestPriority if the value /// is not desired. /// /// This function will return '0' in both \p *leastPriority and \p *greatestPriority if /// the current context's device does not support stream priorities /// (see ::cudaDeviceGetAttribute). /// /// \param leastPriority - Pointer to an int in which the numerical value for least /// stream priority is returned /// \param greatestPriority - Pointer to an int in which the numerical value for greatest /// stream priority is returned /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaStreamCreateWithPriority, /// ::cudaStreamGetPriority pub fn cudaDeviceGetStreamPriorityRange( leastPriority: *mut ::libc::c_int, greatestPriority: *mut ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Sets the preferred cache configuration for the current device. /// /// On devices where the L1 cache and shared memory use the same hardware /// resources, this sets through \p cacheConfig the preferred cache /// configuration for the current device. This is only a preference. The /// runtime will use the requested configuration if possible, but it is free to /// choose a different configuration if required to execute the function. Any /// function preference set via /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)" /// or /// \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)" /// will be preferred over this device-wide setting. Setting the device-wide /// cache configuration to ::cudaFuncCachePreferNone will cause subsequent /// kernel launches to prefer to not change the cache configuration unless /// required to launch the kernel. /// /// This setting does nothing on devices where the size of the L1 cache and /// shared memory are fixed. /// /// Launching a kernel with a different preference than the most recent /// preference setting may insert a device-side synchronization point. /// /// The supported cache configurations are: /// - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default) /// - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache /// - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory /// - ::cudaFuncCachePreferEqual: prefer equal size L1 cache and shared memory /// /// \param cacheConfig - Requested cache configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaDeviceGetCacheConfig, /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)" pub fn cudaDeviceSetCacheConfig(cacheConfig: cudaFuncCache) -> cudaError_t; } extern "C" { /// \brief Returns the shared memory configuration for the current device. /// /// This function will return in \p pConfig the current size of shared memory banks /// on the current device. On devices with configurable shared memory banks, /// ::cudaDeviceSetSharedMemConfig can be used to change this setting, so that all /// subsequent kernel launches will by default use the new bank size. When /// ::cudaDeviceGetSharedMemConfig is called on devices without configurable shared /// memory, it will return the fixed bank size of the hardware. /// /// The returned bank configurations can be either: /// - ::cudaSharedMemBankSizeFourByte - shared memory bank width is four bytes. /// - ::cudaSharedMemBankSizeEightByte - shared memory bank width is eight bytes. /// /// \param pConfig - Returned cache configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaDeviceSetCacheConfig, /// ::cudaDeviceGetCacheConfig, /// ::cudaDeviceSetSharedMemConfig, /// ::cudaFuncSetCacheConfig pub fn cudaDeviceGetSharedMemConfig(pConfig: *mut cudaSharedMemConfig) -> cudaError_t; } extern "C" { /// \brief Sets the shared memory configuration for the current device. /// /// On devices with configurable shared memory banks, this function will set /// the shared memory bank size which is used for all subsequent kernel launches. /// Any per-function setting of shared memory set via ::cudaFuncSetSharedMemConfig /// will override the device wide setting. /// /// Changing the shared memory configuration between launches may introduce /// a device side synchronization point. /// /// Changing the shared memory bank size will not increase shared memory usage /// or affect occupancy of kernels, but may have major effects on performance. /// Larger bank sizes will allow for greater potential bandwidth to shared memory, /// but will change what kinds of accesses to shared memory will result in bank /// conflicts. /// /// This function will do nothing on devices with fixed shared memory bank size. /// /// The supported bank configurations are: /// - ::cudaSharedMemBankSizeDefault: set bank width the device default (currently, /// four bytes) /// - ::cudaSharedMemBankSizeFourByte: set shared memory bank width to be four bytes /// natively. /// - ::cudaSharedMemBankSizeEightByte: set shared memory bank width to be eight /// bytes natively. /// /// \param config - Requested cache configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaDeviceSetCacheConfig, /// ::cudaDeviceGetCacheConfig, /// ::cudaDeviceGetSharedMemConfig, /// ::cudaFuncSetCacheConfig pub fn cudaDeviceSetSharedMemConfig(config: cudaSharedMemConfig) -> cudaError_t; } extern "C" { /// \brief Returns a handle to a compute device /// /// Returns in \p *device a device ordinal given a PCI bus ID string. /// /// \param device - Returned device ordinal /// /// \param pciBusId - String in one of the following forms: /// [domain]:[bus]:[device].[function] /// [domain]:[bus]:[device] /// [bus]:[device].[function] /// where \p domain, \p bus, \p device, and \p function are all hexadecimal values /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// /// \sa ::cudaDeviceGetPCIBusId pub fn cudaDeviceGetByPCIBusId( device: *mut ::libc::c_int, pciBusId: *const ::libc::c_char, ) -> cudaError_t; } extern "C" { /// \brief Returns a PCI Bus Id string for the device /// /// Returns an ASCII string identifying the device \p dev in the NULL-terminated /// string pointed to by \p pciBusId. \p len specifies the maximum length of the /// string that may be returned. /// /// \param pciBusId - Returned identifier string for the device in the following format /// [domain]:[bus]:[device].[function] /// where \p domain, \p bus, \p device, and \p function are all hexadecimal values. /// pciBusId should be large enough to store 13 characters including the NULL-terminator. /// /// \param len - Maximum length of string to store in \p name /// /// \param device - Device to get identifier string for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// /// \sa ::cudaDeviceGetByPCIBusId pub fn cudaDeviceGetPCIBusId( pciBusId: *mut ::libc::c_char, len: ::libc::c_int, device: ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Gets an interprocess handle for a previously allocated event /// /// Takes as input a previously allocated event. This event must have been /// created with the ::cudaEventInterprocess and ::cudaEventDisableTiming /// flags set. This opaque handle may be copied into other processes and /// opened with ::cudaIpcOpenEventHandle to allow efficient hardware /// synchronization between GPU work in different processes. /// /// After the event has been been opened in the importing process, /// ::cudaEventRecord, ::cudaEventSynchronize, ::cudaStreamWaitEvent and /// ::cudaEventQuery may be used in either process. Performing operations /// on the imported event after the exported event has been freed /// with ::cudaEventDestroy will result in undefined behavior. /// /// IPC functionality is restricted to devices with support for unified /// addressing on Linux operating systems. /// /// \param handle - Pointer to a user allocated cudaIpcEventHandle /// in which to return the opaque event handle /// \param event - Event allocated with ::cudaEventInterprocess and /// ::cudaEventDisableTiming flags. /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorMemoryAllocation, /// ::cudaErrorMapBufferObjectFailed /// /// \sa /// ::cudaEventCreate, /// ::cudaEventDestroy, /// ::cudaEventSynchronize, /// ::cudaEventQuery, /// ::cudaStreamWaitEvent, /// ::cudaIpcOpenEventHandle, /// ::cudaIpcGetMemHandle, /// ::cudaIpcOpenMemHandle, /// ::cudaIpcCloseMemHandle pub fn cudaIpcGetEventHandle( handle: *mut cudaIpcEventHandle_t, event: cudaEvent_t, ) -> cudaError_t; } extern "C" { /// \brief Opens an interprocess event handle for use in the current process /// /// Opens an interprocess event handle exported from another process with /// ::cudaIpcGetEventHandle. This function returns a ::cudaEvent_t that behaves like /// a locally created event with the ::cudaEventDisableTiming flag specified. /// This event must be freed with ::cudaEventDestroy. /// /// Performing operations on the imported event after the exported event has /// been freed with ::cudaEventDestroy will result in undefined behavior. /// /// IPC functionality is restricted to devices with support for unified /// addressing on Linux operating systems. /// /// \param event - Returns the imported event /// \param handle - Interprocess handle to open /// /// \returns /// ::cudaSuccess, /// ::cudaErrorMapBufferObjectFailed, /// ::cudaErrorInvalidResourceHandle /// /// \sa /// ::cudaEventCreate, /// ::cudaEventDestroy, /// ::cudaEventSynchronize, /// ::cudaEventQuery, /// ::cudaStreamWaitEvent, /// ::cudaIpcGetEventHandle, /// ::cudaIpcGetMemHandle, /// ::cudaIpcOpenMemHandle, /// ::cudaIpcCloseMemHandle pub fn cudaIpcOpenEventHandle( event: *mut cudaEvent_t, handle: cudaIpcEventHandle_t, ) -> cudaError_t; } extern "C" { /// \brief Gets an interprocess memory handle for an existing device memory /// allocation /// /// Takes a pointer to the base of an existing device memory allocation created /// with ::cudaMalloc and exports it for use in another process. This is a /// lightweight operation and may be called multiple times on an allocation /// without adverse effects. /// /// If a region of memory is freed with ::cudaFree and a subsequent call /// to ::cudaMalloc returns memory with the same device address, /// ::cudaIpcGetMemHandle will return a unique handle for the /// new memory. /// /// IPC functionality is restricted to devices with support for unified /// addressing on Linux operating systems. /// /// \param handle - Pointer to user allocated ::cudaIpcMemHandle to return /// the handle in. /// \param devPtr - Base pointer to previously allocated device memory /// /// \returns /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorMemoryAllocation, /// ::cudaErrorMapBufferObjectFailed, /// /// \sa /// ::cudaMalloc, /// ::cudaFree, /// ::cudaIpcGetEventHandle, /// ::cudaIpcOpenEventHandle, /// ::cudaIpcOpenMemHandle, /// ::cudaIpcCloseMemHandle pub fn cudaIpcGetMemHandle( handle: *mut cudaIpcMemHandle_t, devPtr: *mut ::libc::c_void, ) -> cudaError_t; } extern "C" { /// \brief Opens an interprocess memory handle exported from another process /// and returns a device pointer usable in the local process. /// /// Maps memory exported from another process with ::cudaIpcGetMemHandle into /// the current device address space. For contexts on different devices /// ::cudaIpcOpenMemHandle can attempt to enable peer access between the /// devices as if the user called ::cudaDeviceEnablePeerAccess. This behavior is /// controlled by the ::cudaIpcMemLazyEnablePeerAccess flag. /// ::cudaDeviceCanAccessPeer can determine if a mapping is possible. /// /// Contexts that may open ::cudaIpcMemHandles are restricted in the following way. /// ::cudaIpcMemHandles from each device in a given process may only be opened /// by one context per device per other process. /// /// Memory returned from ::cudaIpcOpenMemHandle must be freed with /// ::cudaIpcCloseMemHandle. /// /// Calling ::cudaFree on an exported memory region before calling /// ::cudaIpcCloseMemHandle in the importing context will result in undefined /// behavior. /// /// IPC functionality is restricted to devices with support for unified /// addressing on Linux operating systems. /// /// \param devPtr - Returned device pointer /// \param handle - ::cudaIpcMemHandle to open /// \param flags - Flags for this operation. Must be specified as ::cudaIpcMemLazyEnablePeerAccess /// /// \returns /// ::cudaSuccess, /// ::cudaErrorMapBufferObjectFailed, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorTooManyPeers /// /// \note No guarantees are made about the address returned in \p *devPtr. /// In particular, multiple processes may not receive the same address for the same \p handle. /// /// \sa /// ::cudaMalloc, /// ::cudaFree, /// ::cudaIpcGetEventHandle, /// ::cudaIpcOpenEventHandle, /// ::cudaIpcGetMemHandle, /// ::cudaIpcCloseMemHandle, /// ::cudaDeviceEnablePeerAccess, /// ::cudaDeviceCanAccessPeer, pub fn cudaIpcOpenMemHandle( devPtr: *mut *mut ::libc::c_void, handle: cudaIpcMemHandle_t, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Close memory mapped with cudaIpcOpenMemHandle /// /// Unmaps memory returnd by ::cudaIpcOpenMemHandle. The original allocation /// in the exporting process as well as imported mappings in other processes /// will be unaffected. /// /// Any resources used to enable peer access will be freed if this is the /// last mapping using them. /// /// IPC functionality is restricted to devices with support for unified /// addressing on Linux operating systems. /// /// \param devPtr - Device pointer returned by ::cudaIpcOpenMemHandle /// /// \returns /// ::cudaSuccess, /// ::cudaErrorMapBufferObjectFailed, /// ::cudaErrorInvalidResourceHandle, /// /// \sa /// ::cudaMalloc, /// ::cudaFree, /// ::cudaIpcGetEventHandle, /// ::cudaIpcOpenEventHandle, /// ::cudaIpcGetMemHandle, /// ::cudaIpcOpenMemHandle, pub fn cudaIpcCloseMemHandle(devPtr: *mut ::libc::c_void) -> cudaError_t; } extern "C" { /// \brief Exit and clean up from CUDA launches /// /// \deprecated /// /// Note that this function is deprecated because its name does not /// reflect its behavior. Its functionality is identical to the /// non-deprecated function ::cudaDeviceReset(), which should be used /// instead. /// /// Explicitly destroys all cleans up all resources associated with the current /// device in the current process. Any subsequent API call to this device will /// reinitialize the device. /// /// Note that this function will reset the device immediately. It is the caller's /// responsibility to ensure that the device is not being accessed by any /// other host threads from the process when this function is called. /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \sa ::cudaDeviceReset pub fn cudaThreadExit() -> cudaError_t; } extern "C" { /// \brief Wait for compute device to finish /// /// \deprecated /// /// Note that this function is deprecated because its name does not /// reflect its behavior. Its functionality is similar to the /// non-deprecated function ::cudaDeviceSynchronize(), which should be used /// instead. /// /// Blocks until the device has completed all preceding requested tasks. /// ::cudaThreadSynchronize() returns an error if one of the preceding tasks /// has failed. If the ::cudaDeviceScheduleBlockingSync flag was set for /// this device, the host thread will block until the device has finished /// its work. /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \sa ::cudaDeviceSynchronize pub fn cudaThreadSynchronize() -> cudaError_t; } extern "C" { /// \brief Set resource limits /// /// \deprecated /// /// Note that this function is deprecated because its name does not /// reflect its behavior. Its functionality is identical to the /// non-deprecated function ::cudaDeviceSetLimit(), which should be used /// instead. /// /// Setting \p limit to \p value is a request by the application to update /// the current limit maintained by the device. The driver is free to /// modify the requested value to meet h/w requirements (this could be /// clamping to minimum or maximum values, rounding up to nearest element /// size, etc). The application can use ::cudaThreadGetLimit() to find out /// exactly what the limit has been set to. /// /// Setting each ::cudaLimit has its own specific restrictions, so each is /// discussed here. /// /// - ::cudaLimitStackSize controls the stack size of each GPU thread. /// /// - ::cudaLimitPrintfFifoSize controls the size of the shared FIFO /// used by the ::printf() and ::fprintf() device system calls. /// Setting ::cudaLimitPrintfFifoSize must be performed before /// launching any kernel that uses the ::printf() or ::fprintf() device /// system calls, otherwise ::cudaErrorInvalidValue will be returned. /// /// - ::cudaLimitMallocHeapSize controls the size of the heap used /// by the ::malloc() and ::free() device system calls. Setting /// ::cudaLimitMallocHeapSize must be performed before launching /// any kernel that uses the ::malloc() or ::free() device system calls, /// otherwise ::cudaErrorInvalidValue will be returned. /// /// \param limit - Limit to set /// \param value - Size in bytes of limit /// /// \return /// ::cudaSuccess, /// ::cudaErrorUnsupportedLimit, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaDeviceSetLimit pub fn cudaThreadSetLimit(limit: cudaLimit, value: usize) -> cudaError_t; } extern "C" { /// \brief Returns resource limits /// /// \deprecated /// /// Note that this function is deprecated because its name does not /// reflect its behavior. Its functionality is identical to the /// non-deprecated function ::cudaDeviceGetLimit(), which should be used /// instead. /// /// Returns in \p *pValue the current size of \p limit. The supported /// ::cudaLimit values are: /// - ::cudaLimitStackSize: stack size of each GPU thread; /// - ::cudaLimitPrintfFifoSize: size of the shared FIFO used by the /// ::printf() and ::fprintf() device system calls. /// - ::cudaLimitMallocHeapSize: size of the heap used by the /// ::malloc() and ::free() device system calls; /// /// \param limit - Limit to query /// \param pValue - Returned size in bytes of limit /// /// \return /// ::cudaSuccess, /// ::cudaErrorUnsupportedLimit, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaDeviceGetLimit pub fn cudaThreadGetLimit(pValue: *mut usize, limit: cudaLimit) -> cudaError_t; } extern "C" { /// \brief Returns the preferred cache configuration for the current device. /// /// \deprecated /// /// Note that this function is deprecated because its name does not /// reflect its behavior. Its functionality is identical to the /// non-deprecated function ::cudaDeviceGetCacheConfig(), which should be /// used instead. /// /// On devices where the L1 cache and shared memory use the same hardware /// resources, this returns through \p pCacheConfig the preferred cache /// configuration for the current device. This is only a preference. The /// runtime will use the requested configuration if possible, but it is free to /// choose a different configuration if required to execute functions. /// /// This will return a \p pCacheConfig of ::cudaFuncCachePreferNone on devices /// where the size of the L1 cache and shared memory are fixed. /// /// The supported cache configurations are: /// - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default) /// - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache /// - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory /// /// \param pCacheConfig - Returned cache configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa cudaDeviceGetCacheConfig pub fn cudaThreadGetCacheConfig(pCacheConfig: *mut cudaFuncCache) -> cudaError_t; } extern "C" { /// \brief Sets the preferred cache configuration for the current device. /// /// \deprecated /// /// Note that this function is deprecated because its name does not /// reflect its behavior. Its functionality is identical to the /// non-deprecated function ::cudaDeviceSetCacheConfig(), which should be /// used instead. /// /// On devices where the L1 cache and shared memory use the same hardware /// resources, this sets through \p cacheConfig the preferred cache /// configuration for the current device. This is only a preference. The /// runtime will use the requested configuration if possible, but it is free to /// choose a different configuration if required to execute the function. Any /// function preference set via /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)" /// or /// \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)" /// will be preferred over this device-wide setting. Setting the device-wide /// cache configuration to ::cudaFuncCachePreferNone will cause subsequent /// kernel launches to prefer to not change the cache configuration unless /// required to launch the kernel. /// /// This setting does nothing on devices where the size of the L1 cache and /// shared memory are fixed. /// /// Launching a kernel with a different preference than the most recent /// preference setting may insert a device-side synchronization point. /// /// The supported cache configurations are: /// - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default) /// - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache /// - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory /// /// \param cacheConfig - Requested cache configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaDeviceSetCacheConfig pub fn cudaThreadSetCacheConfig(cacheConfig: cudaFuncCache) -> cudaError_t; } extern "C" { /// \brief Returns the last error from a runtime call /// /// Returns the last error that has been produced by any of the runtime calls /// in the same host thread and resets it to ::cudaSuccess. /// /// \return /// ::cudaSuccess, /// ::cudaErrorMissingConfiguration, /// ::cudaErrorMemoryAllocation, /// ::cudaErrorInitializationError, /// ::cudaErrorLaunchFailure, /// ::cudaErrorLaunchTimeout, /// ::cudaErrorLaunchOutOfResources, /// ::cudaErrorInvalidDeviceFunction, /// ::cudaErrorInvalidConfiguration, /// ::cudaErrorInvalidDevice, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidSymbol, /// ::cudaErrorUnmapBufferObjectFailed, /// ::cudaErrorInvalidHostPointer, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidTexture, /// ::cudaErrorInvalidTextureBinding, /// ::cudaErrorInvalidChannelDescriptor, /// ::cudaErrorInvalidMemcpyDirection, /// ::cudaErrorInvalidFilterSetting, /// ::cudaErrorInvalidNormSetting, /// ::cudaErrorUnknown, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorInsufficientDriver, /// ::cudaErrorSetOnActiveProcess, /// ::cudaErrorStartupFailure, /// \notefnerr /// /// \sa ::cudaPeekAtLastError, ::cudaGetErrorName, ::cudaGetErrorString, ::cudaError pub fn cudaGetLastError() -> cudaError_t; } extern "C" { /// \brief Returns the last error from a runtime call /// /// Returns the last error that has been produced by any of the runtime calls /// in the same host thread. Note that this call does not reset the error to /// ::cudaSuccess like ::cudaGetLastError(). /// /// \return /// ::cudaSuccess, /// ::cudaErrorMissingConfiguration, /// ::cudaErrorMemoryAllocation, /// ::cudaErrorInitializationError, /// ::cudaErrorLaunchFailure, /// ::cudaErrorLaunchTimeout, /// ::cudaErrorLaunchOutOfResources, /// ::cudaErrorInvalidDeviceFunction, /// ::cudaErrorInvalidConfiguration, /// ::cudaErrorInvalidDevice, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidSymbol, /// ::cudaErrorUnmapBufferObjectFailed, /// ::cudaErrorInvalidHostPointer, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidTexture, /// ::cudaErrorInvalidTextureBinding, /// ::cudaErrorInvalidChannelDescriptor, /// ::cudaErrorInvalidMemcpyDirection, /// ::cudaErrorInvalidFilterSetting, /// ::cudaErrorInvalidNormSetting, /// ::cudaErrorUnknown, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorInsufficientDriver, /// ::cudaErrorSetOnActiveProcess, /// ::cudaErrorStartupFailure, /// \notefnerr /// /// \sa ::cudaGetLastError, ::cudaGetErrorName, ::cudaGetErrorString, ::cudaError pub fn cudaPeekAtLastError() -> cudaError_t; } extern "C" { /// \brief Returns the string representation of an error code enum name /// /// Returns a string containing the name of an error code in the enum. If the error /// code is not recognized, "unrecognized error code" is returned. /// /// \param error - Error code to convert to string /// /// \return /// \p char* pointer to a NULL-terminated string /// /// \sa ::cudaGetErrorString, ::cudaGetLastError, ::cudaPeekAtLastError, ::cudaError pub fn cudaGetErrorName(error: cudaError_t) -> *const ::libc::c_char; } extern "C" { /// \brief Returns the description string for an error code /// /// Returns the description string for an error code. If the error /// code is not recognized, "unrecognized error code" is returned. /// /// \param error - Error code to convert to string /// /// \return /// \p char* pointer to a NULL-terminated string /// /// \sa ::cudaGetErrorName, ::cudaGetLastError, ::cudaPeekAtLastError, ::cudaError pub fn cudaGetErrorString(error: cudaError_t) -> *const ::libc::c_char; } extern "C" { /// \brief Returns the number of compute-capable devices /// /// Returns in \p *count the number of devices with compute capability greater /// or equal to 2.0 that are available for execution. If there is no such /// device then ::cudaGetDeviceCount() will return ::cudaErrorNoDevice. /// If no driver can be loaded to determine if any such devices exist then /// ::cudaGetDeviceCount() will return ::cudaErrorInsufficientDriver. /// /// \param count - Returns the number of devices with compute capability /// greater or equal to 2.0 /// /// \return /// ::cudaSuccess, /// ::cudaErrorNoDevice, /// ::cudaErrorInsufficientDriver /// \notefnerr /// /// \sa ::cudaGetDevice, ::cudaSetDevice, ::cudaGetDeviceProperties, /// ::cudaChooseDevice pub fn cudaGetDeviceCount(count: *mut ::libc::c_int) -> cudaError_t; } extern "C" { /// \brief Returns information about the compute-device /// /// Returns in \p *prop the properties of device \p dev. The ::cudaDeviceProp /// structure is defined as: /// \code /// struct cudaDeviceProp { /// char name[256]; /// size_t totalGlobalMem; /// size_t sharedMemPerBlock; /// int regsPerBlock; /// int warpSize; /// size_t memPitch; /// int maxThreadsPerBlock; /// int maxThreadsDim[3]; /// int maxGridSize[3]; /// int clockRate; /// size_t totalConstMem; /// int major; /// int minor; /// size_t textureAlignment; /// size_t texturePitchAlignment; /// int deviceOverlap; /// int multiProcessorCount; /// int kernelExecTimeoutEnabled; /// int integrated; /// int canMapHostMemory; /// int computeMode; /// int maxTexture1D; /// int maxTexture1DMipmap; /// int maxTexture1DLinear; /// int maxTexture2D[2]; /// int maxTexture2DMipmap[2]; /// int maxTexture2DLinear[3]; /// int maxTexture2DGather[2]; /// int maxTexture3D[3]; /// int maxTexture3DAlt[3]; /// int maxTextureCubemap; /// int maxTexture1DLayered[2]; /// int maxTexture2DLayered[3]; /// int maxTextureCubemapLayered[2]; /// int maxSurface1D; /// int maxSurface2D[2]; /// int maxSurface3D[3]; /// int maxSurface1DLayered[2]; /// int maxSurface2DLayered[3]; /// int maxSurfaceCubemap; /// int maxSurfaceCubemapLayered[2]; /// size_t surfaceAlignment; /// int concurrentKernels; /// int ECCEnabled; /// int pciBusID; /// int pciDeviceID; /// int pciDomainID; /// int tccDriver; /// int asyncEngineCount; /// int unifiedAddressing; /// int memoryClockRate; /// int memoryBusWidth; /// int l2CacheSize; /// int maxThreadsPerMultiProcessor; /// int streamPrioritiesSupported; /// int globalL1CacheSupported; /// int localL1CacheSupported; /// size_t sharedMemPerMultiprocessor; /// int regsPerMultiprocessor; /// int managedMemSupported; /// int isMultiGpuBoard; /// int multiGpuBoardGroupID; /// int singleToDoublePrecisionPerfRatio; /// int pageableMemoryAccess; /// int concurrentManagedAccess; /// } /// \endcode /// where: /// - \ref ::cudaDeviceProp::name "name[256]" is an ASCII string identifying /// the device; /// - \ref ::cudaDeviceProp::totalGlobalMem "totalGlobalMem" is the total /// amount of global memory available on the device in bytes; /// - \ref ::cudaDeviceProp::sharedMemPerBlock "sharedMemPerBlock" is the /// maximum amount of shared memory available to a thread block in bytes; /// - \ref ::cudaDeviceProp::regsPerBlock "regsPerBlock" is the maximum number /// of 32-bit registers available to a thread block; /// - \ref ::cudaDeviceProp::warpSize "warpSize" is the warp size in threads; /// - \ref ::cudaDeviceProp::memPitch "memPitch" is the maximum pitch in /// bytes allowed by the memory copy functions that involve memory regions /// allocated through ::cudaMallocPitch(); /// - \ref ::cudaDeviceProp::maxThreadsPerBlock "maxThreadsPerBlock" is the /// maximum number of threads per block; /// - \ref ::cudaDeviceProp::maxThreadsDim "maxThreadsDim[3]" contains the /// maximum size of each dimension of a block; /// - \ref ::cudaDeviceProp::maxGridSize "maxGridSize[3]" contains the /// maximum size of each dimension of a grid; /// - \ref ::cudaDeviceProp::clockRate "clockRate" is the clock frequency in /// kilohertz; /// - \ref ::cudaDeviceProp::totalConstMem "totalConstMem" is the total amount /// of constant memory available on the device in bytes; /// - \ref ::cudaDeviceProp::major "major", /// \ref ::cudaDeviceProp::minor "minor" are the major and minor revision /// numbers defining the device's compute capability; /// - \ref ::cudaDeviceProp::textureAlignment "textureAlignment" is the /// alignment requirement; texture base addresses that are aligned to /// \ref ::cudaDeviceProp::textureAlignment "textureAlignment" bytes do not /// need an offset applied to texture fetches; /// - \ref ::cudaDeviceProp::texturePitchAlignment "texturePitchAlignment" is the /// pitch alignment requirement for 2D texture references that are bound to /// pitched memory; /// - \ref ::cudaDeviceProp::deviceOverlap "deviceOverlap" is 1 if the device /// can concurrently copy memory between host and device while executing a /// kernel, or 0 if not. Deprecated, use instead asyncEngineCount. /// - \ref ::cudaDeviceProp::multiProcessorCount "multiProcessorCount" is the /// number of multiprocessors on the device; /// - \ref ::cudaDeviceProp::kernelExecTimeoutEnabled "kernelExecTimeoutEnabled" /// is 1 if there is a run time limit for kernels executed on the device, or /// 0 if not. /// - \ref ::cudaDeviceProp::integrated "integrated" is 1 if the device is an /// integrated (motherboard) GPU and 0 if it is a discrete (card) component. /// - \ref ::cudaDeviceProp::canMapHostMemory "canMapHostMemory" is 1 if the /// device can map host memory into the CUDA address space for use with /// ::cudaHostAlloc()/::cudaHostGetDevicePointer(), or 0 if not; /// - \ref ::cudaDeviceProp::computeMode "computeMode" is the compute mode /// that the device is currently in. Available modes are as follows: /// - cudaComputeModeDefault: Default mode - Device is not restricted and /// multiple threads can use ::cudaSetDevice() with this device. /// - cudaComputeModeExclusive: Compute-exclusive mode - Only one thread will /// be able to use ::cudaSetDevice() with this device. /// - cudaComputeModeProhibited: Compute-prohibited mode - No threads can use /// ::cudaSetDevice() with this device. /// - cudaComputeModeExclusiveProcess: Compute-exclusive-process mode - Many /// threads in one process will be able to use ::cudaSetDevice() with this device. /// <br> If ::cudaSetDevice() is called on an already occupied \p device with /// computeMode ::cudaComputeModeExclusive, ::cudaErrorDeviceAlreadyInUse /// will be immediately returned indicating the device cannot be used. /// When an occupied exclusive mode device is chosen with ::cudaSetDevice, /// all subsequent non-device management runtime functions will return /// ::cudaErrorDevicesUnavailable. /// - \ref ::cudaDeviceProp::maxTexture1D "maxTexture1D" is the maximum 1D /// texture size. /// - \ref ::cudaDeviceProp::maxTexture1DMipmap "maxTexture1DMipmap" is the maximum /// 1D mipmapped texture texture size. /// - \ref ::cudaDeviceProp::maxTexture1DLinear "maxTexture1DLinear" is the maximum /// 1D texture size for textures bound to linear memory. /// - \ref ::cudaDeviceProp::maxTexture2D "maxTexture2D[2]" contains the maximum /// 2D texture dimensions. /// - \ref ::cudaDeviceProp::maxTexture2DMipmap "maxTexture2DMipmap[2]" contains the /// maximum 2D mipmapped texture dimensions. /// - \ref ::cudaDeviceProp::maxTexture2DLinear "maxTexture2DLinear[3]" contains the /// maximum 2D texture dimensions for 2D textures bound to pitch linear memory. /// - \ref ::cudaDeviceProp::maxTexture2DGather "maxTexture2DGather[2]" contains the /// maximum 2D texture dimensions if texture gather operations have to be performed. /// - \ref ::cudaDeviceProp::maxTexture3D "maxTexture3D[3]" contains the maximum /// 3D texture dimensions. /// - \ref ::cudaDeviceProp::maxTexture3DAlt "maxTexture3DAlt[3]" /// contains the maximum alternate 3D texture dimensions. /// - \ref ::cudaDeviceProp::maxTextureCubemap "maxTextureCubemap" is the /// maximum cubemap texture width or height. /// - \ref ::cudaDeviceProp::maxTexture1DLayered "maxTexture1DLayered[2]" contains /// the maximum 1D layered texture dimensions. /// - \ref ::cudaDeviceProp::maxTexture2DLayered "maxTexture2DLayered[3]" contains /// the maximum 2D layered texture dimensions. /// - \ref ::cudaDeviceProp::maxTextureCubemapLayered "maxTextureCubemapLayered[2]" /// contains the maximum cubemap layered texture dimensions. /// - \ref ::cudaDeviceProp::maxSurface1D "maxSurface1D" is the maximum 1D /// surface size. /// - \ref ::cudaDeviceProp::maxSurface2D "maxSurface2D[2]" contains the maximum /// 2D surface dimensions. /// - \ref ::cudaDeviceProp::maxSurface3D "maxSurface3D[3]" contains the maximum /// 3D surface dimensions. /// - \ref ::cudaDeviceProp::maxSurface1DLayered "maxSurface1DLayered[2]" contains /// the maximum 1D layered surface dimensions. /// - \ref ::cudaDeviceProp::maxSurface2DLayered "maxSurface2DLayered[3]" contains /// the maximum 2D layered surface dimensions. /// - \ref ::cudaDeviceProp::maxSurfaceCubemap "maxSurfaceCubemap" is the maximum /// cubemap surface width or height. /// - \ref ::cudaDeviceProp::maxSurfaceCubemapLayered "maxSurfaceCubemapLayered[2]" /// contains the maximum cubemap layered surface dimensions. /// - \ref ::cudaDeviceProp::surfaceAlignment "surfaceAlignment" specifies the /// alignment requirements for surfaces. /// - \ref ::cudaDeviceProp::concurrentKernels "concurrentKernels" is 1 if the /// device supports executing multiple kernels within the same context /// simultaneously, or 0 if not. It is not guaranteed that multiple kernels /// will be resident on the device concurrently so this feature should not be /// relied upon for correctness; /// - \ref ::cudaDeviceProp::ECCEnabled "ECCEnabled" is 1 if the device has ECC /// support turned on, or 0 if not. /// - \ref ::cudaDeviceProp::pciBusID "pciBusID" is the PCI bus identifier of /// the device. /// - \ref ::cudaDeviceProp::pciDeviceID "pciDeviceID" is the PCI device /// (sometimes called slot) identifier of the device. /// - \ref ::cudaDeviceProp::pciDomainID "pciDomainID" is the PCI domain identifier /// of the device. /// - \ref ::cudaDeviceProp::tccDriver "tccDriver" is 1 if the device is using a /// TCC driver or 0 if not. /// - \ref ::cudaDeviceProp::asyncEngineCount "asyncEngineCount" is 1 when the /// device can concurrently copy memory between host and device while executing /// a kernel. It is 2 when the device can concurrently copy memory between host /// and device in both directions and execute a kernel at the same time. It is /// 0 if neither of these is supported. /// - \ref ::cudaDeviceProp::unifiedAddressing "unifiedAddressing" is 1 if the device /// shares a unified address space with the host and 0 otherwise. /// - \ref ::cudaDeviceProp::memoryClockRate "memoryClockRate" is the peak memory /// clock frequency in kilohertz. /// - \ref ::cudaDeviceProp::memoryBusWidth "memoryBusWidth" is the memory bus width /// in bits. /// - \ref ::cudaDeviceProp::l2CacheSize "l2CacheSize" is L2 cache size in bytes. /// - \ref ::cudaDeviceProp::maxThreadsPerMultiProcessor "maxThreadsPerMultiProcessor" /// is the number of maximum resident threads per multiprocessor. /// - \ref ::cudaDeviceProp::streamPrioritiesSupported "streamPrioritiesSupported" /// is 1 if the device supports stream priorities, or 0 if it is not supported. /// - \ref ::cudaDeviceProp::globalL1CacheSupported "globalL1CacheSupported" /// is 1 if the device supports caching of globals in L1 cache, or 0 if it is not supported. /// - \ref ::cudaDeviceProp::localL1CacheSupported "localL1CacheSupported" /// is 1 if the device supports caching of locals in L1 cache, or 0 if it is not supported. /// - \ref ::cudaDeviceProp::sharedMemPerMultiprocessor "sharedMemPerMultiprocessor" is the /// maximum amount of shared memory available to a multiprocessor in bytes; this amount is /// shared by all thread blocks simultaneously resident on a multiprocessor; /// - \ref ::cudaDeviceProp::regsPerMultiprocessor "regsPerMultiprocessor" is the maximum number /// of 32-bit registers available to a multiprocessor; this number is shared /// by all thread blocks simultaneously resident on a multiprocessor; /// - \ref ::cudaDeviceProp::managedMemory "managedMemory" /// is 1 if the device supports allocating managed memory on this system, or 0 if it is not supported. /// - \ref ::cudaDeviceProp::isMultiGpuBoard "isMultiGpuBoard" /// is 1 if the device is on a multi-GPU board (e.g. Gemini cards), and 0 if not; /// - \ref ::cudaDeviceProp::multiGpuBoardGroupID "multiGpuBoardGroupID" is a unique identifier /// for a group of devices associated with the same board. /// Devices on the same multi-GPU board will share the same identifier; /// - \ref ::cudaDeviceProp::singleToDoublePrecisionPerfRatio "singleToDoublePrecisionPerfRatio" /// is the ratio of single precision performance (in floating-point operations per second) /// to double precision performance. /// - \ref ::cudaDeviceProp::pageableMemoryAccess "pageableMemoryAccess" is 1 if the device supports /// coherently accessing pageable memory without calling cudaHostRegister on it, and 0 otherwise. /// - \ref ::cudaDeviceProp::concurrentManagedAccess "concurrentManagedAccess" is 1 if the device can /// coherently access managed memory concurrently with the CPU, and 0 otherwise. /// /// \param prop - Properties for the specified device /// \param device - Device number to get properties for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice /// /// \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice, ::cudaChooseDevice, /// ::cudaDeviceGetAttribute pub fn cudaGetDeviceProperties(prop: *mut cudaDeviceProp, device: ::libc::c_int) -> cudaError_t; } extern "C" { /// \brief Returns information about the device /// /// Returns in \p *value the integer value of the attribute \p attr on device /// \p device. The supported attributes are: /// - ::cudaDevAttrMaxThreadsPerBlock: Maximum number of threads per block; /// - ::cudaDevAttrMaxBlockDimX: Maximum x-dimension of a block; /// - ::cudaDevAttrMaxBlockDimY: Maximum y-dimension of a block; /// - ::cudaDevAttrMaxBlockDimZ: Maximum z-dimension of a block; /// - ::cudaDevAttrMaxGridDimX: Maximum x-dimension of a grid; /// - ::cudaDevAttrMaxGridDimY: Maximum y-dimension of a grid; /// - ::cudaDevAttrMaxGridDimZ: Maximum z-dimension of a grid; /// - ::cudaDevAttrMaxSharedMemoryPerBlock: Maximum amount of shared memory /// available to a thread block in bytes; /// - ::cudaDevAttrTotalConstantMemory: Memory available on device for /// __constant__ variables in a CUDA C kernel in bytes; /// - ::cudaDevAttrWarpSize: Warp size in threads; /// - ::cudaDevAttrMaxPitch: Maximum pitch in bytes allowed by the memory copy /// functions that involve memory regions allocated through ::cudaMallocPitch(); /// - ::cudaDevAttrMaxTexture1DWidth: Maximum 1D texture width; /// - ::cudaDevAttrMaxTexture1DLinearWidth: Maximum width for a 1D texture bound /// to linear memory; /// - ::cudaDevAttrMaxTexture1DMipmappedWidth: Maximum mipmapped 1D texture width; /// - ::cudaDevAttrMaxTexture2DWidth: Maximum 2D texture width; /// - ::cudaDevAttrMaxTexture2DHeight: Maximum 2D texture height; /// - ::cudaDevAttrMaxTexture2DLinearWidth: Maximum width for a 2D texture /// bound to linear memory; /// - ::cudaDevAttrMaxTexture2DLinearHeight: Maximum height for a 2D texture /// bound to linear memory; /// - ::cudaDevAttrMaxTexture2DLinearPitch: Maximum pitch in bytes for a 2D /// texture bound to linear memory; /// - ::cudaDevAttrMaxTexture2DMipmappedWidth: Maximum mipmapped 2D texture /// width; /// - ::cudaDevAttrMaxTexture2DMipmappedHeight: Maximum mipmapped 2D texture /// height; /// - ::cudaDevAttrMaxTexture3DWidth: Maximum 3D texture width; /// - ::cudaDevAttrMaxTexture3DHeight: Maximum 3D texture height; /// - ::cudaDevAttrMaxTexture3DDepth: Maximum 3D texture depth; /// - ::cudaDevAttrMaxTexture3DWidthAlt: Alternate maximum 3D texture width, /// 0 if no alternate maximum 3D texture size is supported; /// - ::cudaDevAttrMaxTexture3DHeightAlt: Alternate maximum 3D texture height, /// 0 if no alternate maximum 3D texture size is supported; /// - ::cudaDevAttrMaxTexture3DDepthAlt: Alternate maximum 3D texture depth, /// 0 if no alternate maximum 3D texture size is supported; /// - ::cudaDevAttrMaxTextureCubemapWidth: Maximum cubemap texture width or /// height; /// - ::cudaDevAttrMaxTexture1DLayeredWidth: Maximum 1D layered texture width; /// - ::cudaDevAttrMaxTexture1DLayeredLayers: Maximum layers in a 1D layered /// texture; /// - ::cudaDevAttrMaxTexture2DLayeredWidth: Maximum 2D layered texture width; /// - ::cudaDevAttrMaxTexture2DLayeredHeight: Maximum 2D layered texture height; /// - ::cudaDevAttrMaxTexture2DLayeredLayers: Maximum layers in a 2D layered /// texture; /// - ::cudaDevAttrMaxTextureCubemapLayeredWidth: Maximum cubemap layered /// texture width or height; /// - ::cudaDevAttrMaxTextureCubemapLayeredLayers: Maximum layers in a cubemap /// layered texture; /// - ::cudaDevAttrMaxSurface1DWidth: Maximum 1D surface width; /// - ::cudaDevAttrMaxSurface2DWidth: Maximum 2D surface width; /// - ::cudaDevAttrMaxSurface2DHeight: Maximum 2D surface height; /// - ::cudaDevAttrMaxSurface3DWidth: Maximum 3D surface width; /// - ::cudaDevAttrMaxSurface3DHeight: Maximum 3D surface height; /// - ::cudaDevAttrMaxSurface3DDepth: Maximum 3D surface depth; /// - ::cudaDevAttrMaxSurface1DLayeredWidth: Maximum 1D layered surface width; /// - ::cudaDevAttrMaxSurface1DLayeredLayers: Maximum layers in a 1D layered /// surface; /// - ::cudaDevAttrMaxSurface2DLayeredWidth: Maximum 2D layered surface width; /// - ::cudaDevAttrMaxSurface2DLayeredHeight: Maximum 2D layered surface height; /// - ::cudaDevAttrMaxSurface2DLayeredLayers: Maximum layers in a 2D layered /// surface; /// - ::cudaDevAttrMaxSurfaceCubemapWidth: Maximum cubemap surface width; /// - ::cudaDevAttrMaxSurfaceCubemapLayeredWidth: Maximum cubemap layered /// surface width; /// - ::cudaDevAttrMaxSurfaceCubemapLayeredLayers: Maximum layers in a cubemap /// layered surface; /// - ::cudaDevAttrMaxRegistersPerBlock: Maximum number of 32-bit registers /// available to a thread block; /// - ::cudaDevAttrClockRate: Peak clock frequency in kilohertz; /// - ::cudaDevAttrTextureAlignment: Alignment requirement; texture base /// addresses aligned to ::textureAlign bytes do not need an offset applied /// to texture fetches; /// - ::cudaDevAttrTexturePitchAlignment: Pitch alignment requirement for 2D /// texture references bound to pitched memory; /// - ::cudaDevAttrGpuOverlap: 1 if the device can concurrently copy memory /// between host and device while executing a kernel, or 0 if not; /// - ::cudaDevAttrMultiProcessorCount: Number of multiprocessors on the device; /// - ::cudaDevAttrKernelExecTimeout: 1 if there is a run time limit for kernels /// executed on the device, or 0 if not; /// - ::cudaDevAttrIntegrated: 1 if the device is integrated with the memory /// subsystem, or 0 if not; /// - ::cudaDevAttrCanMapHostMemory: 1 if the device can map host memory into /// the CUDA address space, or 0 if not; /// - ::cudaDevAttrComputeMode: Compute mode is the compute mode that the device /// is currently in. Available modes are as follows: /// - ::cudaComputeModeDefault: Default mode - Device is not restricted and /// multiple threads can use ::cudaSetDevice() with this device. /// - ::cudaComputeModeExclusive: Compute-exclusive mode - Only one thread will /// be able to use ::cudaSetDevice() with this device. /// - ::cudaComputeModeProhibited: Compute-prohibited mode - No threads can use /// ::cudaSetDevice() with this device. /// - ::cudaComputeModeExclusiveProcess: Compute-exclusive-process mode - Many /// threads in one process will be able to use ::cudaSetDevice() with this /// device. /// - ::cudaDevAttrConcurrentKernels: 1 if the device supports executing /// multiple kernels within the same context simultaneously, or 0 if /// not. It is not guaranteed that multiple kernels will be resident on the /// device concurrently so this feature should not be relied upon for /// correctness; /// - ::cudaDevAttrEccEnabled: 1 if error correction is enabled on the device, /// 0 if error correction is disabled or not supported by the device; /// - ::cudaDevAttrPciBusId: PCI bus identifier of the device; /// - ::cudaDevAttrPciDeviceId: PCI device (also known as slot) identifier of /// the device; /// - ::cudaDevAttrTccDriver: 1 if the device is using a TCC driver. TCC is only /// available on Tesla hardware running Windows Vista or later; /// - ::cudaDevAttrMemoryClockRate: Peak memory clock frequency in kilohertz; /// - ::cudaDevAttrGlobalMemoryBusWidth: Global memory bus width in bits; /// - ::cudaDevAttrL2CacheSize: Size of L2 cache in bytes. 0 if the device /// doesn't have L2 cache; /// - ::cudaDevAttrMaxThreadsPerMultiProcessor: Maximum resident threads per /// multiprocessor; /// - ::cudaDevAttrUnifiedAddressing: 1 if the device shares a unified address /// space with the host, or 0 if not; /// - ::cudaDevAttrComputeCapabilityMajor: Major compute capability version /// number; /// - ::cudaDevAttrComputeCapabilityMinor: Minor compute capability version /// number; /// - ::cudaDevAttrStreamPrioritiesSupported: 1 if the device supports stream /// priorities, or 0 if not; /// - ::cudaDevAttrGlobalL1CacheSupported: 1 if device supports caching globals /// in L1 cache, 0 if not; /// - ::cudaDevAttrGlobalL1CacheSupported: 1 if device supports caching locals /// in L1 cache, 0 if not; /// - ::cudaDevAttrMaxSharedMemoryPerMultiprocessor: Maximum amount of shared memory /// available to a multiprocessor in bytes; this amount is shared by all /// thread blocks simultaneously resident on a multiprocessor; /// - ::cudaDevAttrMaxRegistersPerMultiprocessor: Maximum number of 32-bit registers /// available to a multiprocessor; this number is shared by all thread blocks /// simultaneously resident on a multiprocessor; /// - ::cudaDevAttrManagedMemSupported: 1 if device supports allocating /// managed memory, 0 if not; /// - ::cudaDevAttrIsMultiGpuBoard: 1 if device is on a multi-GPU board, 0 if not; /// - ::cudaDevAttrMultiGpuBoardGroupID: Unique identifier for a group of devices on the /// same multi-GPU board; /// - ::cudaDevAttrHostNativeAtomicSupported: 1 if the link between the device and the /// host supports native atomic operations; /// - ::cudaDevAttrSingleToDoublePrecisionPerfRatio: Ratio of single precision performance /// (in floating-point operations per second) to double precision performance; /// - ::cudaDevAttrPageableMemoryAccess: 1 if the device supports coherently accessing /// pageable memory without calling cudaHostRegister on it, and 0 otherwise. /// - ::cudaDevAttrConcurrentManagedAccess: 1 if the device can coherently access managed /// memory concurrently with the CPU, and 0 otherwise. /// - ::cudaDevAttrComputePreemptionSupported: 1 if the device supports /// Compute Preemption, 0 if not. /// - ::cudaDevAttrCanUseHostPointerForRegisteredMem: 1 if the device can access host /// registered memory at the same virtual address as the CPU, and 0 otherwise. /// /// \param value - Returned device attribute value /// \param attr - Device attribute to query /// \param device - Device number to query /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice, ::cudaChooseDevice, /// ::cudaGetDeviceProperties pub fn cudaDeviceGetAttribute( value: *mut ::libc::c_int, attr: cudaDeviceAttr, device: ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Queries attributes of the link between two devices. /// /// Returns in \p *value the value of the requested attribute \p attrib of the /// link between \p srcDevice and \p dstDevice. The supported attributes are: /// - ::CudaDevP2PAttrPerformanceRank: A relative value indicating the /// performance of the link between two devices. Lower value means better /// performance (0 being the value used for most performant link). /// - ::CudaDevP2PAttrAccessSupported: 1 if peer access is enabled. /// - ::CudaDevP2PAttrNativeAtomicSupported: 1 if native atomic operations over /// the link are supported. /// /// Returns ::cudaErrorInvalidDevice if \p srcDevice or \p dstDevice are not valid /// or if they represent the same device. /// /// Returns ::cudaErrorInvalidValue if \p attrib is not valid or if \p value is /// a null pointer. /// /// \param value - Returned value of the requested attribute /// \param attrib - The requested attribute of the link between \p srcDevice and \p dstDevice. /// \param srcDevice - The source device of the target link. /// \param dstDevice - The destination device of the target link. /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaCtxEnablePeerAccess, /// ::cudaCtxDisablePeerAccess, /// ::cudaCtxCanAccessPeer pub fn cudaDeviceGetP2PAttribute( value: *mut ::libc::c_int, attr: cudaDeviceP2PAttr, srcDevice: ::libc::c_int, dstDevice: ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Select compute-device which best matches criteria /// /// Returns in \p *device the device which has properties that best match /// \p *prop. /// /// \param device - Device with best match /// \param prop - Desired device properties /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice, /// ::cudaGetDeviceProperties pub fn cudaChooseDevice(device: *mut ::libc::c_int, prop: *const cudaDeviceProp) -> cudaError_t; } extern "C" { /// \brief Set device to be used for GPU executions /// /// Sets \p device as the current device for the calling host thread. /// Valid device id's are 0 to (::cudaGetDeviceCount() - 1). /// /// Any device memory subsequently allocated from this host thread /// using ::cudaMalloc(), ::cudaMallocPitch() or ::cudaMallocArray() /// will be physically resident on \p device. Any host memory allocated /// from this host thread using ::cudaMallocHost() or ::cudaHostAlloc() /// or ::cudaHostRegister() will have its lifetime associated with /// \p device. Any streams or events created from this host thread will /// be associated with \p device. Any kernels launched from this host /// thread using the <<<>>> operator or ::cudaLaunchKernel() will be executed /// on \p device. /// /// This call may be made from any host thread, to any device, and at /// any time. This function will do no synchronization with the previous /// or new device, and should be considered a very low overhead call. /// /// \param device - Device on which the active host thread should execute the /// device code. /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice, /// ::cudaErrorDeviceAlreadyInUse /// \notefnerr /// /// \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaGetDeviceProperties, /// ::cudaChooseDevice pub fn cudaSetDevice(device: ::libc::c_int) -> cudaError_t; } extern "C" { /// \brief Returns which device is currently being used /// /// Returns in \p *device the current device for the calling host thread. /// /// \param device - Returns the device on which the active host thread /// executes the device code. /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \sa ::cudaGetDeviceCount, ::cudaSetDevice, ::cudaGetDeviceProperties, /// ::cudaChooseDevice pub fn cudaGetDevice(device: *mut ::libc::c_int) -> cudaError_t; } extern "C" { /// \brief Set a list of devices that can be used for CUDA /// /// Sets a list of devices for CUDA execution in priority order using /// \p device_arr. The parameter \p len specifies the number of elements in the /// list. CUDA will try devices from the list sequentially until it finds one /// that works. If this function is not called, or if it is called with a \p len /// of 0, then CUDA will go back to its default behavior of trying devices /// sequentially from a default list containing all of the available CUDA /// devices in the system. If a specified device ID in the list does not exist, /// this function will return ::cudaErrorInvalidDevice. If \p len is not 0 and /// \p device_arr is NULL or if \p len exceeds the number of devices in /// the system, then ::cudaErrorInvalidValue is returned. /// /// \param device_arr - List of devices to try /// \param len - Number of devices in specified list /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// /// \sa ::cudaGetDeviceCount, ::cudaSetDevice, ::cudaGetDeviceProperties, /// ::cudaSetDeviceFlags, /// ::cudaChooseDevice pub fn cudaSetValidDevices(device_arr: *mut ::libc::c_int, len: ::libc::c_int) -> cudaError_t; } extern "C" { /// \brief Sets flags to be used for device executions /// /// Records \p flags as the flags to use when initializing the current /// device. If no device has been made current to the calling thread, /// then \p flags will be applied to the initialization of any device /// initialized by the calling host thread, unless that device has had /// its initialization flags set explicitly by this or any host thread. /// /// If the current device has been set and that device has already been /// initialized then this call will fail with the error /// ::cudaErrorSetOnActiveProcess. In this case it is necessary /// to reset \p device using ::cudaDeviceReset() before the device's /// initialization flags may be set. /// /// The two LSBs of the \p flags parameter can be used to control how the CPU /// thread interacts with the OS scheduler when waiting for results from the /// device. /// /// - ::cudaDeviceScheduleAuto: The default value if the \p flags parameter is /// zero, uses a heuristic based on the number of active CUDA contexts in the /// process \p C and the number of logical processors in the system \p P. If /// \p C \> \p P, then CUDA will yield to other OS threads when waiting for the /// device, otherwise CUDA will not yield while waiting for results and /// actively spin on the processor. /// - ::cudaDeviceScheduleSpin: Instruct CUDA to actively spin when waiting for /// results from the device. This can decrease latency when waiting for the /// device, but may lower the performance of CPU threads if they are performing /// work in parallel with the CUDA thread. /// - ::cudaDeviceScheduleYield: Instruct CUDA to yield its thread when waiting /// for results from the device. This can increase latency when waiting for the /// device, but can increase the performance of CPU threads performing work in /// parallel with the device. /// - ::cudaDeviceScheduleBlockingSync: Instruct CUDA to block the CPU thread /// on a synchronization primitive when waiting for the device to finish work. /// - ::cudaDeviceBlockingSync: Instruct CUDA to block the CPU thread on a /// synchronization primitive when waiting for the device to finish work. <br> /// \ref deprecated "Deprecated:" This flag was deprecated as of CUDA 4.0 and /// replaced with ::cudaDeviceScheduleBlockingSync. /// - ::cudaDeviceMapHost: This flag enables allocating pinned /// host memory that is accessible to the device. It is implicit for the /// runtime but may be absent if a context is created using the driver API. /// If this flag is not set, ::cudaHostGetDevicePointer() will always return /// a failure code. /// - ::cudaDeviceLmemResizeToMax: Instruct CUDA to not reduce local memory /// after resizing local memory for a kernel. This can prevent thrashing by /// local memory allocations when launching many kernels with high local /// memory usage at the cost of potentially increased memory usage. /// /// \param flags - Parameters for device operation /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice, /// ::cudaErrorSetOnActiveProcess /// /// \sa ::cudaGetDeviceFlags, ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaGetDeviceProperties, /// ::cudaSetDevice, ::cudaSetValidDevices, /// ::cudaChooseDevice pub fn cudaSetDeviceFlags(flags: ::libc::c_uint) -> cudaError_t; } extern "C" { /// \brief Gets the flags for the current device /// /// Returns in \p flags the flags for the current device. If there is a /// current device for the calling thread, and the device has been initialized /// or flags have been set on that device specifically, the flags for the /// device are returned. If there is no current device, but flags have been /// set for the thread with ::cudaSetDeviceFlags, the thread flags are returned. /// Finally, if there is no current device and no thread flags, the flags for /// the first device are returned, which may be the default flags. Compare /// to the behavior of ::cudaSetDeviceFlags. /// /// Typically, the flags returned should match the behavior that will be seen /// if the calling thread uses a device after this call, without any change to /// the flags or current device inbetween by this or another thread. Note that /// if the device is not initialized, it is possible for another thread to /// change the flags for the current device before it is initialized. /// Additionally, when using exclusive mode, if this thread has not requested a /// specific device, it may use a device other than the first device, contrary /// to the assumption made by this function. /// /// If a context has been created via the driver API and is current to the /// calling thread, the flags for that context are always returned. /// /// Flags returned by this function may specifically include ::cudaDeviceMapHost /// even though it is not accepted by ::cudaSetDeviceFlags because it is /// implicit in runtime API flags. The reason for this is that the current /// context may have been created via the driver API in which case the flag is /// not implicit and may be unset. /// /// \param flags - Pointer to store the device flags /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice /// /// \sa ::cudaGetDevice, ::cudaGetDeviceProperties, /// ::cudaSetDevice, ::cudaSetDeviceFlags pub fn cudaGetDeviceFlags(flags: *mut ::libc::c_uint) -> cudaError_t; } extern "C" { /// \brief Create an asynchronous stream /// /// Creates a new asynchronous stream. /// /// \param pStream - Pointer to new stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaStreamCreateWithPriority, /// ::cudaStreamCreateWithFlags, /// ::cudaStreamGetPriority, /// ::cudaStreamGetFlags, /// ::cudaStreamQuery, /// ::cudaStreamSynchronize, /// ::cudaStreamWaitEvent, /// ::cudaStreamAddCallback, /// ::cudaStreamDestroy pub fn cudaStreamCreate(pStream: *mut cudaStream_t) -> cudaError_t; } extern "C" { /// \brief Create an asynchronous stream /// /// Creates a new asynchronous stream. The \p flags argument determines the /// behaviors of the stream. Valid values for \p flags are /// - ::cudaStreamDefault: Default stream creation flag. /// - ::cudaStreamNonBlocking: Specifies that work running in the created /// stream may run concurrently with work in stream 0 (the NULL stream), and that /// the created stream should perform no implicit synchronization with stream 0. /// /// \param pStream - Pointer to new stream identifier /// \param flags - Parameters for stream creation /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaStreamCreate, /// ::cudaStreamCreateWithPriority, /// ::cudaStreamGetFlags, /// ::cudaStreamQuery, /// ::cudaStreamSynchronize, /// ::cudaStreamWaitEvent, /// ::cudaStreamAddCallback, /// ::cudaStreamDestroy pub fn cudaStreamCreateWithFlags( pStream: *mut cudaStream_t, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Create an asynchronous stream with the specified priority /// /// Creates a stream with the specified priority and returns a handle in \p pStream. /// This API alters the scheduler priority of work in the stream. Work in a higher /// priority stream may preempt work already executing in a low priority stream. /// /// \p priority follows a convention where lower numbers represent higher priorities. /// '0' represents default priority. The range of meaningful numerical priorities can /// be queried using ::cudaDeviceGetStreamPriorityRange. If the specified priority is /// outside the numerical range returned by ::cudaDeviceGetStreamPriorityRange, /// it will automatically be clamped to the lowest or the highest number in the range. /// /// \param pStream - Pointer to new stream identifier /// \param flags - Flags for stream creation. See ::cudaStreamCreateWithFlags for a list of valid flags that can be passed /// \param priority - Priority of the stream. Lower numbers represent higher priorities. /// See ::cudaDeviceGetStreamPriorityRange for more information about /// the meaningful stream priorities that can be passed. /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \note Stream priorities are supported only on GPUs /// with compute capability 3.5 or higher. /// /// \note In the current implementation, only compute kernels launched in /// priority streams are affected by the stream's priority. Stream priorities have /// no effect on host-to-device and device-to-host memory operations. /// /// \sa ::cudaStreamCreate, /// ::cudaStreamCreateWithFlags, /// ::cudaDeviceGetStreamPriorityRange, /// ::cudaStreamGetPriority, /// ::cudaStreamQuery, /// ::cudaStreamWaitEvent, /// ::cudaStreamAddCallback, /// ::cudaStreamSynchronize, /// ::cudaStreamDestroy pub fn cudaStreamCreateWithPriority( pStream: *mut cudaStream_t, flags: ::libc::c_uint, priority: ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Query the priority of a stream /// /// Query the priority of a stream. The priority is returned in in \p priority. /// Note that if the stream was created with a priority outside the meaningful /// numerical range returned by ::cudaDeviceGetStreamPriorityRange, /// this function returns the clamped priority. /// See ::cudaStreamCreateWithPriority for details about priority clamping. /// /// \param hStream - Handle to the stream to be queried /// \param priority - Pointer to a signed integer in which the stream's priority is returned /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle /// \notefnerr /// /// \sa ::cudaStreamCreateWithPriority, /// ::cudaDeviceGetStreamPriorityRange, /// ::cudaStreamGetFlags pub fn cudaStreamGetPriority( hStream: cudaStream_t, priority: *mut ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Query the flags of a stream /// /// Query the flags of a stream. The flags are returned in \p flags. /// See ::cudaStreamCreateWithFlags for a list of valid flags. /// /// \param hStream - Handle to the stream to be queried /// \param flags - Pointer to an unsigned integer in which the stream's flags are returned /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle /// \notefnerr /// /// \sa ::cudaStreamCreateWithPriority, /// ::cudaStreamCreateWithFlags, /// ::cudaStreamGetPriority pub fn cudaStreamGetFlags(hStream: cudaStream_t, flags: *mut ::libc::c_uint) -> cudaError_t; } extern "C" { /// \brief Destroys and cleans up an asynchronous stream /// /// Destroys and cleans up the asynchronous stream specified by \p stream. /// /// In case the device is still doing work in the stream \p stream /// when ::cudaStreamDestroy() is called, the function will return immediately /// and the resources associated with \p stream will be released automatically /// once the device has completed all work in \p stream. /// /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle /// \notefnerr /// /// \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamWaitEvent, ::cudaStreamSynchronize, ::cudaStreamAddCallback pub fn cudaStreamDestroy(stream: cudaStream_t) -> cudaError_t; } extern "C" { /// \brief Make a compute stream wait on an event /// /// Makes all future work submitted to \p stream wait until \p event reports /// completion before beginning execution. This synchronization will be /// performed efficiently on the device. The event \p event may /// be from a different context than \p stream, in which case this function /// will perform cross-device synchronization. /// /// The stream \p stream will wait only for the completion of the most recent /// host call to ::cudaEventRecord() on \p event. Once this call has returned, /// any functions (including ::cudaEventRecord() and ::cudaEventDestroy()) may be /// called on \p event again, and the subsequent calls will not have any effect /// on \p stream. /// /// If ::cudaEventRecord() has not been called on \p event, this call acts as if /// the record has already completed, and so is a functional no-op. /// /// \param stream - Stream to wait /// \param event - Event to wait on /// \param flags - Parameters for the operation (must be 0) /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle /// \note_null_stream /// \notefnerr /// /// \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamSynchronize, ::cudaStreamAddCallback, ::cudaStreamDestroy pub fn cudaStreamWaitEvent( stream: cudaStream_t, event: cudaEvent_t, flags: ::libc::c_uint, ) -> cudaError_t; } /// Type of stream callback functions. /// \param stream The stream as passed to ::cudaStreamAddCallback, may be NULL. /// \param status ::cudaSuccess or any persistent error on the stream. /// \param userData User parameter provided at registration. pub type cudaStreamCallback_t = ::std::option::Option< unsafe extern "C" fn(stream: cudaStream_t, status: cudaError_t, userData: *mut ::libc::c_void), >; extern "C" { /// \brief Add a callback to a compute stream /// /// Adds a callback to be called on the host after all currently enqueued /// items in the stream have completed. For each /// cudaStreamAddCallback call, a callback will be executed exactly once. /// The callback will block later work in the stream until it is finished. /// /// The callback may be passed ::cudaSuccess or an error code. In the event /// of a device error, all subsequently executed callbacks will receive an /// appropriate ::cudaError_t. /// /// Callbacks must not make any CUDA API calls. Attempting to use CUDA APIs /// will result in ::cudaErrorNotPermitted. Callbacks must not perform any /// synchronization that may depend on outstanding device work or other callbacks /// that are not mandated to run earlier. Callbacks without a mandated order /// (in independent streams) execute in undefined order and may be serialized. /// /// For the purposes of Unified Memory, callback execution makes a number of /// guarantees: /// <ul> /// <li>The callback stream is considered idle for the duration of the /// callback. Thus, for example, a callback may always use memory attached /// to the callback stream.</li> /// <li>The start of execution of a callback has the same effect as /// synchronizing an event recorded in the same stream immediately prior to /// the callback. It thus synchronizes streams which have been "joined" /// prior to the callback.</li> /// <li>Adding device work to any stream does not have the effect of making /// the stream active until all preceding callbacks have executed. Thus, for /// example, a callback might use global attached memory even if work has /// been added to another stream, if it has been properly ordered with an /// event.</li> /// <li>Completion of a callback does not cause a stream to become /// active except as described above. The callback stream will remain idle /// if no device work follows the callback, and will remain idle across /// consecutive callbacks without device work in between. Thus, for example, /// stream synchronization can be done by signaling from a callback at the /// end of the stream.</li> /// </ul> /// /// \param stream - Stream to add callback to /// \param callback - The function to call once preceding stream operations are complete /// \param userData - User specified data to be passed to the callback function /// \param flags - Reserved for future use, must be 0 /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorNotSupported /// \note_null_stream /// \notefnerr /// /// \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamSynchronize, ::cudaStreamWaitEvent, ::cudaStreamDestroy, ::cudaMallocManaged, ::cudaStreamAttachMemAsync pub fn cudaStreamAddCallback( stream: cudaStream_t, callback: cudaStreamCallback_t, userData: *mut ::libc::c_void, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Waits for stream tasks to complete /// /// Blocks until \p stream has completed all operations. If the /// ::cudaDeviceScheduleBlockingSync flag was set for this device, /// the host thread will block until the stream is finished with /// all of its tasks. /// /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle /// \notefnerr /// /// \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamWaitEvent, ::cudaStreamAddCallback, ::cudaStreamDestroy pub fn cudaStreamSynchronize(stream: cudaStream_t) -> cudaError_t; } extern "C" { /// \brief Queries an asynchronous stream for completion status /// /// Returns ::cudaSuccess if all operations in \p stream have /// completed, or ::cudaErrorNotReady if not. /// /// For the purposes of Unified Memory, a return value of ::cudaSuccess /// is equivalent to having called ::cudaStreamSynchronize(). /// /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorNotReady, /// ::cudaErrorInvalidResourceHandle /// \notefnerr /// /// \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamWaitEvent, ::cudaStreamSynchronize, ::cudaStreamAddCallback, ::cudaStreamDestroy pub fn cudaStreamQuery(stream: cudaStream_t) -> cudaError_t; } extern "C" { /// \brief Attach memory to a stream asynchronously /// /// Enqueues an operation in \p stream to specify stream association of /// \p length bytes of memory starting from \p devPtr. This function is a /// stream-ordered operation, meaning that it is dependent on, and will /// only take effect when, previous work in stream has completed. Any /// previous association is automatically replaced. /// /// \p devPtr must point to an address within managed memory space declared /// using the __managed__ keyword or allocated with ::cudaMallocManaged. /// /// \p length must be zero, to indicate that the entire allocation's /// stream association is being changed. Currently, it's not possible /// to change stream association for a portion of an allocation. The default /// value for \p length is zero. /// /// The stream association is specified using \p flags which must be /// one of ::cudaMemAttachGlobal, ::cudaMemAttachHost or ::cudaMemAttachSingle. /// The default value for \p flags is ::cudaMemAttachSingle /// If the ::cudaMemAttachGlobal flag is specified, the memory can be accessed /// by any stream on any device. /// If the ::cudaMemAttachHost flag is specified, the program makes a guarantee /// that it won't access the memory on the device from any stream on a device that /// has a zero value for the device attribute ::cudaDevAttrConcurrentManagedAccess. /// If the ::cudaMemAttachSingle flag is specified and \p stream is associated with /// a device that has a zero value for the device attribute ::cudaDevAttrConcurrentManagedAccess, /// the program makes a guarantee that it will only access the memory on the device /// from \p stream. It is illegal to attach singly to the NULL stream, because the /// NULL stream is a virtual global stream and not a specific stream. An error will /// be returned in this case. /// /// When memory is associated with a single stream, the Unified Memory system will /// allow CPU access to this memory region so long as all operations in \p stream /// have completed, regardless of whether other streams are active. In effect, /// this constrains exclusive ownership of the managed memory region by /// an active GPU to per-stream activity instead of whole-GPU activity. /// /// Accessing memory on the device from streams that are not associated with /// it will produce undefined results. No error checking is performed by the /// Unified Memory system to ensure that kernels launched into other streams /// do not access this region. /// /// It is a program's responsibility to order calls to ::cudaStreamAttachMemAsync /// via events, synchronization or other means to ensure legal access to memory /// at all times. Data visibility and coherency will be changed appropriately /// for all kernels which follow a stream-association change. /// /// If \p stream is destroyed while data is associated with it, the association is /// removed and the association reverts to the default visibility of the allocation /// as specified at ::cudaMallocManaged. For __managed__ variables, the default /// association is always ::cudaMemAttachGlobal. Note that destroying a stream is an /// asynchronous operation, and as a result, the change to default association won't /// happen until all work in the stream has completed. /// /// \param stream - Stream in which to enqueue the attach operation /// \param devPtr - Pointer to memory (must be a pointer to managed memory) /// \param length - Length of memory (must be zero, defaults to zero) /// \param flags - Must be one of ::cudaMemAttachGlobal, ::cudaMemAttachHost or ::cudaMemAttachSingle (defaults to ::cudaMemAttachSingle) /// /// \return /// ::cudaSuccess, /// ::cudaErrorNotReady, /// ::cudaErrorInvalidValue /// ::cudaErrorInvalidResourceHandle /// \notefnerr /// /// \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamWaitEvent, ::cudaStreamSynchronize, ::cudaStreamAddCallback, ::cudaStreamDestroy, ::cudaMallocManaged pub fn cudaStreamAttachMemAsync( stream: cudaStream_t, devPtr: *mut ::libc::c_void, length: usize, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Creates an event object /// /// Creates an event object using ::cudaEventDefault. /// /// \param event - Newly created event /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidValue, /// ::cudaErrorLaunchFailure, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa \ref ::cudaEventCreate(cudaEvent_t*, unsigned int) "cudaEventCreate (C++ API)", /// ::cudaEventCreateWithFlags, ::cudaEventRecord, ::cudaEventQuery, /// ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime, /// ::cudaStreamWaitEvent pub fn cudaEventCreate(event: *mut cudaEvent_t) -> cudaError_t; } extern "C" { /// \brief Creates an event object with the specified flags /// /// Creates an event object with the specified flags. Valid flags include: /// - ::cudaEventDefault: Default event creation flag. /// - ::cudaEventBlockingSync: Specifies that event should use blocking /// synchronization. A host thread that uses ::cudaEventSynchronize() to wait /// on an event created with this flag will block until the event actually /// completes. /// - ::cudaEventDisableTiming: Specifies that the created event does not need /// to record timing data. Events created with this flag specified and /// the ::cudaEventBlockingSync flag not specified will provide the best /// performance when used with ::cudaStreamWaitEvent() and ::cudaEventQuery(). /// - ::cudaEventInterprocess: Specifies that the created event may be used as an /// interprocess event by ::cudaIpcGetEventHandle(). ::cudaEventInterprocess must /// be specified along with ::cudaEventDisableTiming. /// /// \param event - Newly created event /// \param flags - Flags for new event /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidValue, /// ::cudaErrorLaunchFailure, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)", /// ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime, /// ::cudaStreamWaitEvent pub fn cudaEventCreateWithFlags(event: *mut cudaEvent_t, flags: ::libc::c_uint) -> cudaError_t; } extern "C" { /// \brief Records an event /// /// Records an event. See note about NULL stream behavior. Since operation /// is asynchronous, ::cudaEventQuery() or ::cudaEventSynchronize() must /// be used to determine when the event has actually been recorded. /// /// If ::cudaEventRecord() has previously been called on \p event, then this /// call will overwrite any existing state in \p event. Any subsequent calls /// which examine the status of \p event will only examine the completion of /// this most recent call to ::cudaEventRecord(). /// /// \param event - Event to record /// \param stream - Stream in which to record event /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorLaunchFailure /// \note_null_stream /// \notefnerr /// /// \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)", /// ::cudaEventCreateWithFlags, ::cudaEventQuery, /// ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime, /// ::cudaStreamWaitEvent pub fn cudaEventRecord(event: cudaEvent_t, stream: cudaStream_t) -> cudaError_t; } extern "C" { /// \brief Queries an event's status /// /// Query the status of all device work preceding the most recent call to /// ::cudaEventRecord() (in the appropriate compute streams, as specified by the /// arguments to ::cudaEventRecord()). /// /// If this work has successfully been completed by the device, or if /// ::cudaEventRecord() has not been called on \p event, then ::cudaSuccess is /// returned. If this work has not yet been completed by the device then /// ::cudaErrorNotReady is returned. /// /// For the purposes of Unified Memory, a return value of ::cudaSuccess /// is equivalent to having called ::cudaEventSynchronize(). /// /// \param event - Event to query /// /// \return /// ::cudaSuccess, /// ::cudaErrorNotReady, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorLaunchFailure /// \notefnerr /// /// \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)", /// ::cudaEventCreateWithFlags, ::cudaEventRecord, /// ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime pub fn cudaEventQuery(event: cudaEvent_t) -> cudaError_t; } extern "C" { /// \brief Waits for an event to complete /// /// Wait until the completion of all device work preceding the most recent /// call to ::cudaEventRecord() (in the appropriate compute streams, as specified /// by the arguments to ::cudaEventRecord()). /// /// If ::cudaEventRecord() has not been called on \p event, ::cudaSuccess is /// returned immediately. /// /// Waiting for an event that was created with the ::cudaEventBlockingSync /// flag will cause the calling CPU thread to block until the event has /// been completed by the device. If the ::cudaEventBlockingSync flag has /// not been set, then the CPU thread will busy-wait until the event has /// been completed by the device. /// /// \param event - Event to wait for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorLaunchFailure /// \notefnerr /// /// \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)", /// ::cudaEventCreateWithFlags, ::cudaEventRecord, /// ::cudaEventQuery, ::cudaEventDestroy, ::cudaEventElapsedTime pub fn cudaEventSynchronize(event: cudaEvent_t) -> cudaError_t; } extern "C" { /// \brief Destroys an event object /// /// Destroys the event specified by \p event. /// /// In case \p event has been recorded but has not yet been completed /// when ::cudaEventDestroy() is called, the function will return immediately and /// the resources associated with \p event will be released automatically once /// the device has completed \p event. /// /// \param event - Event to destroy /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidValue, /// ::cudaErrorLaunchFailure /// \notefnerr /// /// \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)", /// ::cudaEventCreateWithFlags, ::cudaEventQuery, /// ::cudaEventSynchronize, ::cudaEventRecord, ::cudaEventElapsedTime pub fn cudaEventDestroy(event: cudaEvent_t) -> cudaError_t; } extern "C" { /// \brief Computes the elapsed time between events /// /// Computes the elapsed time between two events (in milliseconds with a /// resolution of around 0.5 microseconds). /// /// If either event was last recorded in a non-NULL stream, the resulting time /// may be greater than expected (even if both used the same stream handle). This /// happens because the ::cudaEventRecord() operation takes place asynchronously /// and there is no guarantee that the measured latency is actually just between /// the two events. Any number of other different stream operations could execute /// in between the two measured events, thus altering the timing in a significant /// way. /// /// If ::cudaEventRecord() has not been called on either event, then /// ::cudaErrorInvalidResourceHandle is returned. If ::cudaEventRecord() has been /// called on both events but one or both of them has not yet been completed /// (that is, ::cudaEventQuery() would return ::cudaErrorNotReady on at least one /// of the events), ::cudaErrorNotReady is returned. If either event was created /// with the ::cudaEventDisableTiming flag, then this function will return /// ::cudaErrorInvalidResourceHandle. /// /// \param ms - Time between \p start and \p end in ms /// \param start - Starting event /// \param end - Ending event /// /// \return /// ::cudaSuccess, /// ::cudaErrorNotReady, /// ::cudaErrorInvalidValue, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorLaunchFailure /// \notefnerr /// /// \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)", /// ::cudaEventCreateWithFlags, ::cudaEventQuery, /// ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventRecord pub fn cudaEventElapsedTime(ms: *mut f32, start: cudaEvent_t, end: cudaEvent_t) -> cudaError_t; } extern "C" { /// \brief Launches a device function /// /// The function invokes kernel \p func on \p gridDim (\p gridDim.x × \p gridDim.y /// × \p gridDim.z) grid of blocks. Each block contains \p blockDim (\p blockDim.x × /// \p blockDim.y × \p blockDim.z) threads. /// /// If the kernel has N parameters the \p args should point to array of N pointers. /// Each pointer, from <tt>args[0]</tt> to <tt>args[N - 1]</tt>, point to the region /// of memory from which the actual parameter will be copied. /// /// For templated functions, pass the function symbol as follows: /// func_name<template_arg_0,...,template_arg_N> /// /// \p sharedMem sets the amount of dynamic shared memory that will be available to /// each thread block. /// /// \p stream specifies a stream the invocation is associated to. /// /// \param func - Device function symbol /// \param gridDim - Grid dimentions /// \param blockDim - Block dimentions /// \param args - Arguments /// \param sharedMem - Shared memory /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDeviceFunction, /// ::cudaErrorInvalidConfiguration, /// ::cudaErrorLaunchFailure, /// ::cudaErrorLaunchTimeout, /// ::cudaErrorLaunchOutOfResources, /// ::cudaErrorSharedObjectInitFailed /// \note_null_stream /// \notefnerr /// /// \ref ::cudaLaunchKernel(const T *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C++ API)" pub fn cudaLaunchKernel( func: *const ::libc::c_void, gridDim: dim3, blockDim: dim3, args: *mut *mut ::libc::c_void, sharedMem: usize, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Sets the preferred cache configuration for a device function /// /// On devices where the L1 cache and shared memory use the same hardware /// resources, this sets through \p cacheConfig the preferred cache configuration /// for the function specified via \p func. This is only a preference. The /// runtime will use the requested configuration if possible, but it is free to /// choose a different configuration if required to execute \p func. /// /// \p func is a device function symbol and must be declared as a /// \c __global__ function. If the specified function does not exist, /// then ::cudaErrorInvalidDeviceFunction is returned. For templated functions, /// pass the function symbol as follows: func_name<template_arg_0,...,template_arg_N> /// /// This setting does nothing on devices where the size of the L1 cache and /// shared memory are fixed. /// /// Launching a kernel with a different preference than the most recent /// preference setting may insert a device-side synchronization point. /// /// The supported cache configurations are: /// - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default) /// - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache /// - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory /// - ::cudaFuncCachePreferEqual: prefer equal size L1 cache and shared memory /// /// \param func - Device function symbol /// \param cacheConfig - Requested cache configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidDeviceFunction /// \notefnerr /// \note_string_api_deprecation2 /// /// \sa ::cudaConfigureCall, /// \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)", /// \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)", /// \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)", /// ::cudaSetDoubleForDevice, /// ::cudaSetDoubleForHost, /// \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)", /// ::cudaThreadGetCacheConfig, /// ::cudaThreadSetCacheConfig pub fn cudaFuncSetCacheConfig( func: *const ::libc::c_void, cacheConfig: cudaFuncCache, ) -> cudaError_t; } extern "C" { /// \brief Sets the shared memory configuration for a device function /// /// On devices with configurable shared memory banks, this function will /// force all subsequent launches of the specified device function to have /// the given shared memory bank size configuration. On any given launch of the /// function, the shared memory configuration of the device will be temporarily /// changed if needed to suit the function's preferred configuration. Changes in /// shared memory configuration between subsequent launches of functions, /// may introduce a device side synchronization point. /// /// Any per-function setting of shared memory bank size set via /// ::cudaFuncSetSharedMemConfig will override the device wide setting set by /// ::cudaDeviceSetSharedMemConfig. /// /// Changing the shared memory bank size will not increase shared memory usage /// or affect occupancy of kernels, but may have major effects on performance. /// Larger bank sizes will allow for greater potential bandwidth to shared memory, /// but will change what kinds of accesses to shared memory will result in bank /// conflicts. /// /// This function will do nothing on devices with fixed shared memory bank size. /// /// For templated functions, pass the function symbol as follows: /// func_name<template_arg_0,...,template_arg_N> /// /// The supported bank configurations are: /// - ::cudaSharedMemBankSizeDefault: use the device's shared memory configuration /// when launching this function. /// - ::cudaSharedMemBankSizeFourByte: set shared memory bank width to be /// four bytes natively when launching this function. /// - ::cudaSharedMemBankSizeEightByte: set shared memory bank width to be eight /// bytes natively when launching this function. /// /// \param func - Device function symbol /// \param config - Requested shared memory configuration /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidDeviceFunction, /// ::cudaErrorInvalidValue, /// \notefnerr /// \note_string_api_deprecation2 /// /// \sa ::cudaConfigureCall, /// ::cudaDeviceSetSharedMemConfig, /// ::cudaDeviceGetSharedMemConfig, /// ::cudaDeviceSetCacheConfig, /// ::cudaDeviceGetCacheConfig, /// ::cudaFuncSetCacheConfig pub fn cudaFuncSetSharedMemConfig( func: *const ::libc::c_void, config: cudaSharedMemConfig, ) -> cudaError_t; } extern "C" { /// \brief Find out attributes for a given function /// /// This function obtains the attributes of a function specified via \p func. /// \p func is a device function symbol and must be declared as a /// \c __global__ function. The fetched attributes are placed in \p attr. /// If the specified function does not exist, then /// ::cudaErrorInvalidDeviceFunction is returned. For templated functions, pass /// the function symbol as follows: func_name<template_arg_0,...,template_arg_N> /// /// Note that some function attributes such as /// \ref ::cudaFuncAttributes::maxThreadsPerBlock "maxThreadsPerBlock" /// may vary based on the device that is currently being used. /// /// \param attr - Return pointer to function's attributes /// \param func - Device function symbol /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidDeviceFunction /// \notefnerr /// \note_string_api_deprecation2 /// /// \sa ::cudaConfigureCall, /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, T*) "cudaFuncGetAttributes (C++ API)", /// \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)", /// ::cudaSetDoubleForDevice, /// ::cudaSetDoubleForHost, /// \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)" pub fn cudaFuncGetAttributes( attr: *mut cudaFuncAttributes, func: *const ::libc::c_void, ) -> cudaError_t; } extern "C" { /// \brief Converts a double argument to be executed on a device /// /// \param d - Double to convert /// /// \deprecated This function is deprecated as of CUDA 7.5 /// /// Converts the double value of \p d to an internal float representation if /// the device does not support double arithmetic. If the device does natively /// support doubles, then this function does nothing. /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \ref ::cudaLaunch(const void*) "cudaLaunch (C API)", /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)", /// ::cudaSetDoubleForHost, /// \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)" pub fn cudaSetDoubleForDevice(d: *mut f64) -> cudaError_t; } extern "C" { /// \brief Converts a double argument after execution on a device /// /// \deprecated This function is deprecated as of CUDA 7.5 /// /// Converts the double value of \p d from a potentially internal float /// representation if the device does not support double arithmetic. If the /// device does natively support doubles, then this function does nothing. /// /// \param d - Double to convert /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \ref ::cudaLaunch(const void*) "cudaLaunch (C API)", /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)", /// ::cudaSetDoubleForDevice, /// \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)" pub fn cudaSetDoubleForHost(d: *mut f64) -> cudaError_t; } extern "C" { /// \brief Returns occupancy for a device function /// /// Returns in \p *numBlocks the maximum number of active blocks per /// streaming multiprocessor for the device function. /// /// \param numBlocks - Returned occupancy /// \param func - Kernel function for which occupancy is calculated /// \param blockSize - Block size the kernel is intended to be launched with /// \param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes /// /// \return /// ::cudaSuccess, /// ::cudaErrorCudartUnloading, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidDevice, /// ::cudaErrorInvalidDeviceFunction, /// ::cudaErrorInvalidValue, /// ::cudaErrorUnknown, /// \notefnerr /// /// \sa ::cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags, /// \ref ::cudaOccupancyMaxPotentialBlockSize(int*, int*, T, size_t, int) "cudaOccupancyMaxPotentialBlockSize (C++ API)", /// \ref ::cudaOccupancyMaxPotentialBlockSizeWithFlags(int*, int*, T, size_t, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeWithFlags (C++ API)", /// \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMem(int*, int*, T, UnaryFunction, int) "cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API)" /// \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags(int*, int*, T, UnaryFunction, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags (C++ API)" pub fn cudaOccupancyMaxActiveBlocksPerMultiprocessor( numBlocks: *mut ::libc::c_int, func: *const ::libc::c_void, blockSize: ::libc::c_int, dynamicSMemSize: usize, ) -> cudaError_t; } extern "C" { /// \brief Returns occupancy for a device function with the specified flags /// /// Returns in \p *numBlocks the maximum number of active blocks per /// streaming multiprocessor for the device function. /// /// The \p flags parameter controls how special cases are handled. Valid flags include: /// /// - ::cudaOccupancyDefault: keeps the default behavior as /// ::cudaOccupancyMaxActiveBlocksPerMultiprocessor /// /// - ::cudaOccupancyDisableCachingOverride: This flag suppresses the default behavior /// on platform where global caching affects occupancy. On such platforms, if caching /// is enabled, but per-block SM resource usage would result in zero occupancy, the /// occupancy calculator will calculate the occupancy as if caching is disabled. /// Setting this flag makes the occupancy calculator to return 0 in such cases. /// More information can be found about this feature in the "Unified L1/Texture Cache" /// section of the Maxwell tuning guide. /// /// \param numBlocks - Returned occupancy /// \param func - Kernel function for which occupancy is calculated /// \param blockSize - Block size the kernel is intended to be launched with /// \param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes /// \param flags - Requested behavior for the occupancy calculator /// /// \return /// ::cudaSuccess, /// ::cudaErrorCudartUnloading, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidDevice, /// ::cudaErrorInvalidDeviceFunction, /// ::cudaErrorInvalidValue, /// ::cudaErrorUnknown, /// \notefnerr /// /// \sa ::cudaOccupancyMaxActiveBlocksPerMultiprocessor, /// \ref ::cudaOccupancyMaxPotentialBlockSize(int*, int*, T, size_t, int) "cudaOccupancyMaxPotentialBlockSize (C++ API)", /// \ref ::cudaOccupancyMaxPotentialBlockSizeWithFlags(int*, int*, T, size_t, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeWithFlags (C++ API)", /// \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMem(int*, int*, T, UnaryFunction, int) "cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API)" /// \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags(int*, int*, T, UnaryFunction, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags (C++ API)" pub fn cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags( numBlocks: *mut ::libc::c_int, func: *const ::libc::c_void, blockSize: ::libc::c_int, dynamicSMemSize: usize, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Configure a device-launch /// /// \deprecated This function is deprecated as of CUDA 7.0 /// /// Specifies the grid and block dimensions for the device call to be executed /// similar to the execution configuration syntax. ::cudaConfigureCall() is /// stack based. Each call pushes data on top of an execution stack. This data /// contains the dimension for the grid and thread blocks, together with any /// arguments for the call. /// /// \param gridDim - Grid dimensions /// \param blockDim - Block dimensions /// \param sharedMem - Shared memory /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidConfiguration /// \note_null_stream /// \notefnerr /// /// \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)", /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)", /// \ref ::cudaLaunch(const void*) "cudaLaunch (C API)", /// ::cudaSetDoubleForDevice, /// ::cudaSetDoubleForHost, /// \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)", pub fn cudaConfigureCall( gridDim: dim3, blockDim: dim3, sharedMem: usize, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Configure a device launch /// /// \deprecated This function is deprecated as of CUDA 7.0 /// /// Pushes \p size bytes of the argument pointed to by \p arg at \p offset /// bytes from the start of the parameter passing area, which starts at /// offset 0. The arguments are stored in the top of the execution stack. /// \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument()" /// must be preceded by a call to ::cudaConfigureCall(). /// /// \param arg - Argument to push for a kernel launch /// \param size - Size of argument /// \param offset - Offset in argument stack to push new arg /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)", /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)", /// \ref ::cudaLaunch(const void*) "cudaLaunch (C API)", /// ::cudaSetDoubleForDevice, /// ::cudaSetDoubleForHost, /// \ref ::cudaSetupArgument(T, size_t) "cudaSetupArgument (C++ API)", pub fn cudaSetupArgument(arg: *const ::libc::c_void, size: usize, offset: usize) -> cudaError_t; } extern "C" { /// \brief Launches a device function /// /// \deprecated This function is deprecated as of CUDA 7.0 /// /// Launches the function \p func on the device. The parameter \p func must /// be a device function symbol. The parameter specified by \p func must be /// declared as a \p __global__ function. For templated functions, pass the /// function symbol as follows: func_name<template_arg_0,...,template_arg_N> /// \ref ::cudaLaunch(const void*) "cudaLaunch()" must be preceded by a call to /// ::cudaConfigureCall() since it pops the data that was pushed by /// ::cudaConfigureCall() from the execution stack. /// /// \param func - Device function symbol /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDeviceFunction, /// ::cudaErrorInvalidConfiguration, /// ::cudaErrorLaunchFailure, /// ::cudaErrorLaunchTimeout, /// ::cudaErrorLaunchOutOfResources, /// ::cudaErrorSharedObjectInitFailed /// \notefnerr /// \note_string_api_deprecation_50 /// /// \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)", /// \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)", /// \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)", /// \ref ::cudaLaunch(T*) "cudaLaunch (C++ API)", /// ::cudaSetDoubleForDevice, /// ::cudaSetDoubleForHost, /// \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)", /// ::cudaThreadGetCacheConfig, /// ::cudaThreadSetCacheConfig pub fn cudaLaunch(func: *const ::libc::c_void) -> cudaError_t; } extern "C" { /// \brief Allocates memory that will be automatically managed by the Unified Memory system /// /// Allocates \p size bytes of managed memory on the device and returns in /// \p *devPtr a pointer to the allocated memory. If the device doesn't support /// allocating managed memory, ::cudaErrorNotSupported is returned. Support /// for managed memory can be queried using the device attribute /// ::cudaDevAttrManagedMemory. The allocated memory is suitably /// aligned for any kind of variable. The memory is not cleared. If \p size /// is 0, ::cudaMallocManaged returns ::cudaErrorInvalidValue. The pointer /// is valid on the CPU and on all GPUs in the system that support managed memory. /// All accesses to this pointer must obey the Unified Memory programming model. /// /// \p flags specifies the default stream association for this allocation. /// \p flags must be one of ::cudaMemAttachGlobal or ::cudaMemAttachHost. The /// default value for \p flags is ::cudaMemAttachGlobal. /// If ::cudaMemAttachGlobal is specified, then this memory is accessible from /// any stream on any device. If ::cudaMemAttachHost is specified, then the /// allocation should not be accessed from devices that have a zero value for the /// device attribute ::cudaDevAttrConcurrentManagedAccess; an explicit call to /// ::cudaStreamAttachMemAsync will be required to enable access on such devices. /// /// If the association is later changed via ::cudaStreamAttachMemAsync to /// a single stream, the default association, as specifed during ::cudaMallocManaged, /// is restored when that stream is destroyed. For __managed__ variables, the /// default association is always ::cudaMemAttachGlobal. Note that destroying a /// stream is an asynchronous operation, and as a result, the change to default /// association won't happen until all work in the stream has completed. /// /// Memory allocated with ::cudaMallocManaged should be released with ::cudaFree. /// /// Device memory oversubscription is possible for GPUs that have a non-zero value for the /// device attribute ::cudaDevAttrConcurrentManagedAccess. Managed memory on /// such GPUs may be evicted from device memory to host memory at any time by the Unified /// Memory driver in order to make room for other allocations. /// /// In a multi-GPU system where all GPUs have a non-zero value for the device attribute /// ::cudaDevAttrConcurrentManagedAccess, managed memory may not be populated when this /// API returns and instead may be populated on access. In such systems, managed memory can /// migrate to any processor's memory at any time. The Unified Memory driver will employ heuristics to /// maintain data locality and prevent excessive page faults to the extent possible. The application /// can also guide the driver about memory usage patterns via ::cudaMemAdvise. The application /// can also explicitly migrate memory to a desired processor's memory via /// ::cudaMemPrefetchAsync. /// /// In a multi-GPU system where all of the GPUs have a zero value for the device attribute /// ::cudaDevAttrConcurrentManagedAccess and all the GPUs have peer-to-peer support /// with each other, the physical storage for managed memory is created on the GPU which is active /// at the time ::cudaMallocManaged is called. All other GPUs will reference the data at reduced /// bandwidth via peer mappings over the PCIe bus. The Unified Memory driver does not migrate /// memory among such GPUs. /// /// In a multi-GPU system where not all GPUs have peer-to-peer support with each other and /// where the value of the device attribute ::cudaDevAttrConcurrentManagedAccess /// is zero for at least one of those GPUs, the location chosen for physical storage of managed /// memory is system-dependent. /// - On Linux, the location chosen will be device memory as long as the current set of active /// contexts are on devices that either have peer-to-peer support with each other or have a /// non-zero value for the device attribute ::cudaDevAttrConcurrentManagedAccess. /// If there is an active context on a GPU that does not have a non-zero value for that device /// attribute and it does not have peer-to-peer support with the other devices that have active /// contexts on them, then the location for physical storage will be 'zero-copy' or host memory. /// Note that this means that managed memory that is located in device memory is migrated to /// host memory if a new context is created on a GPU that doesn't have a non-zero value for /// the device attribute and does not support peer-to-peer with at least one of the other devices /// that has an active context. This in turn implies that context creation may fail if there is /// insufficient host memory to migrate all managed allocations. /// - On Windows, the physical storage is always created in 'zero-copy' or host memory. /// All GPUs will reference the data at reduced bandwidth over the PCIe bus. In these /// circumstances, use of the environment variable CUDA_VISIBLE_DEVICES is recommended to /// restrict CUDA to only use those GPUs that have peer-to-peer support. /// Alternatively, users can also set CUDA_MANAGED_FORCE_DEVICE_ALLOC to a non-zero /// value to force the driver to always use device memory for physical storage. /// When this environment variable is set to a non-zero value, all devices used in /// that process that support managed memory have to be peer-to-peer compatible /// with each other. The error ::cudaErrorInvalidDevice will be returned if a device /// that supports managed memory is used and it is not peer-to-peer compatible with /// any of the other managed memory supporting devices that were previously used in /// that process, even if ::cudaDeviceReset has been called on those devices. These /// environment variables are described in the CUDA programming guide under the /// "CUDA environment variables" section. /// /// \param devPtr - Pointer to allocated device memory /// \param size - Requested allocation size in bytes /// \param flags - Must be either ::cudaMemAttachGlobal or ::cudaMemAttachHost (defaults to ::cudaMemAttachGlobal) /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// ::cudaErrorNotSupported /// ::cudaErrorInvalidValue /// /// \sa ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray, ::cudaFreeArray, /// ::cudaMalloc3D, ::cudaMalloc3DArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc, ::cudaDeviceGetAttribute, ::cudaStreamAttachMemAsync pub fn cudaMallocManaged( devPtr: *mut *mut ::libc::c_void, size: usize, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Allocate memory on the device /// /// Allocates \p size bytes of linear memory on the device and returns in /// \p *devPtr a pointer to the allocated memory. The allocated memory is /// suitably aligned for any kind of variable. The memory is not cleared. /// ::cudaMalloc() returns ::cudaErrorMemoryAllocation in case of failure. /// /// The device version of ::cudaFree cannot be used with a \p *devPtr /// allocated using the host API, and vice versa. /// /// \param devPtr - Pointer to allocated device memory /// \param size - Requested allocation size in bytes /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// /// \sa ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray, ::cudaFreeArray, /// ::cudaMalloc3D, ::cudaMalloc3DArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc pub fn cudaMalloc(devPtr: *mut *mut ::libc::c_void, size: usize) -> cudaError_t; } extern "C" { /// \brief Allocates page-locked memory on the host /// /// Allocates \p size bytes of host memory that is page-locked and accessible /// to the device. The driver tracks the virtual memory ranges allocated with /// this function and automatically accelerates calls to functions such as /// ::cudaMemcpy*(). Since the memory can be accessed directly by the device, /// it can be read or written with much higher bandwidth than pageable memory /// obtained with functions such as ::malloc(). Allocating excessive amounts of /// memory with ::cudaMallocHost() may degrade system performance, since it /// reduces the amount of memory available to the system for paging. As a /// result, this function is best used sparingly to allocate staging areas for /// data exchange between host and device. /// /// \param ptr - Pointer to allocated host memory /// \param size - Requested allocation size in bytes /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaMallocArray, ::cudaMalloc3D, /// ::cudaMalloc3DArray, ::cudaHostAlloc, ::cudaFree, ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t, unsigned int) "cudaMallocHost (C++ API)", /// ::cudaFreeHost, ::cudaHostAlloc pub fn cudaMallocHost(ptr: *mut *mut ::libc::c_void, size: usize) -> cudaError_t; } extern "C" { /// \brief Allocates pitched memory on the device /// /// Allocates at least \p width (in bytes) * \p height bytes of linear memory /// on the device and returns in \p *devPtr a pointer to the allocated memory. /// The function may pad the allocation to ensure that corresponding pointers /// in any given row will continue to meet the alignment requirements for /// coalescing as the address is updated from row to row. The pitch returned in /// \p *pitch by ::cudaMallocPitch() is the width in bytes of the allocation. /// The intended usage of \p pitch is as a separate parameter of the allocation, /// used to compute addresses within the 2D array. Given the row and column of /// an array element of type \p T, the address is computed as: /// \code /// T* pElement = (T*)((char*)BaseAddress + Row * pitch) + Column; /// \endcode /// /// For allocations of 2D arrays, it is recommended that programmers consider /// performing pitch allocations using ::cudaMallocPitch(). Due to pitch /// alignment restrictions in the hardware, this is especially true if the /// application will be performing 2D memory copies between different regions /// of device memory (whether linear memory or CUDA arrays). /// /// \param devPtr - Pointer to allocated pitched device memory /// \param pitch - Pitch for allocation /// \param width - Requested pitched allocation width (in bytes) /// \param height - Requested pitched allocation height /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaMalloc, ::cudaFree, ::cudaMallocArray, ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaMalloc3D, ::cudaMalloc3DArray, /// ::cudaHostAlloc pub fn cudaMallocPitch( devPtr: *mut *mut ::libc::c_void, pitch: *mut usize, width: usize, height: usize, ) -> cudaError_t; } extern "C" { /// \brief Allocate an array on the device /// /// Allocates a CUDA array according to the ::cudaChannelFormatDesc structure /// \p desc and returns a handle to the new CUDA array in \p *array. /// /// The ::cudaChannelFormatDesc is defined as: /// \code /// struct cudaChannelFormatDesc { /// int x, y, z, w; /// enum cudaChannelFormatKind f; /// }; /// \endcode /// where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned, /// ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat. /// /// The \p flags parameter enables different options to be specified that affect /// the allocation, as follows. /// - ::cudaArrayDefault: This flag's value is defined to be 0 and provides default array allocation /// - ::cudaArraySurfaceLoadStore: Allocates an array that can be read from or written to using a surface reference /// - ::cudaArrayTextureGather: This flag indicates that texture gather operations will be performed on the array. /// /// \p width and \p height must meet certain size requirements. See ::cudaMalloc3DArray() for more details. /// /// \param array - Pointer to allocated array in device memory /// \param desc - Requested channel format /// \param width - Requested array allocation width /// \param height - Requested array allocation height /// \param flags - Requested properties of allocated array /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaMalloc3D, ::cudaMalloc3DArray, /// ::cudaHostAlloc pub fn cudaMallocArray( array: *mut cudaArray_t, desc: *const cudaChannelFormatDesc, width: usize, height: usize, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Frees memory on the device /// /// Frees the memory space pointed to by \p devPtr, which must have been /// returned by a previous call to ::cudaMalloc() or ::cudaMallocPitch(). /// Otherwise, or if ::cudaFree(\p devPtr) has already been called before, /// an error is returned. If \p devPtr is 0, no operation is performed. /// ::cudaFree() returns ::cudaErrorInvalidDevicePointer in case of failure. /// /// The device version of ::cudaFree cannot be used with a \p *devPtr /// allocated using the host API, and vice versa. /// /// \param devPtr - Device pointer to memory to free /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaMallocArray, ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaMalloc3D, ::cudaMalloc3DArray, /// ::cudaHostAlloc pub fn cudaFree(devPtr: *mut ::libc::c_void) -> cudaError_t; } extern "C" { /// \brief Frees page-locked memory /// /// Frees the memory space pointed to by \p hostPtr, which must have been /// returned by a previous call to ::cudaMallocHost() or ::cudaHostAlloc(). /// /// \param ptr - Pointer to memory to free /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray, /// ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaMalloc3D, ::cudaMalloc3DArray, ::cudaHostAlloc pub fn cudaFreeHost(ptr: *mut ::libc::c_void) -> cudaError_t; } extern "C" { /// \brief Frees an array on the device /// /// Frees the CUDA array \p array, which must have been * returned by a /// previous call to ::cudaMallocArray(). If ::cudaFreeArray(\p array) has /// already been called before, ::cudaErrorInvalidValue is returned. If /// \p devPtr is 0, no operation is performed. /// /// \param array - Pointer to array to free /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc pub fn cudaFreeArray(array: cudaArray_t) -> cudaError_t; } extern "C" { /// \brief Frees a mipmapped array on the device /// /// Frees the CUDA mipmapped array \p mipmappedArray, which must have been /// returned by a previous call to ::cudaMallocMipmappedArray(). /// If ::cudaFreeMipmappedArray(\p mipmappedArray) has already been called before, /// ::cudaErrorInvalidValue is returned. /// /// \param mipmappedArray - Pointer to mipmapped array to free /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInitializationError /// \notefnerr /// /// \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc pub fn cudaFreeMipmappedArray(mipmappedArray: cudaMipmappedArray_t) -> cudaError_t; } extern "C" { /// \brief Allocates page-locked memory on the host /// /// Allocates \p size bytes of host memory that is page-locked and accessible /// to the device. The driver tracks the virtual memory ranges allocated with /// this function and automatically accelerates calls to functions such as /// ::cudaMemcpy(). Since the memory can be accessed directly by the device, it /// can be read or written with much higher bandwidth than pageable memory /// obtained with functions such as ::malloc(). Allocating excessive amounts of /// pinned memory may degrade system performance, since it reduces the amount /// of memory available to the system for paging. As a result, this function is /// best used sparingly to allocate staging areas for data exchange between host /// and device. /// /// The \p flags parameter enables different options to be specified that affect /// the allocation, as follows. /// - ::cudaHostAllocDefault: This flag's value is defined to be 0 and causes /// ::cudaHostAlloc() to emulate ::cudaMallocHost(). /// - ::cudaHostAllocPortable: The memory returned by this call will be /// considered as pinned memory by all CUDA contexts, not just the one that /// performed the allocation. /// - ::cudaHostAllocMapped: Maps the allocation into the CUDA address space. /// The device pointer to the memory may be obtained by calling /// ::cudaHostGetDevicePointer(). /// - ::cudaHostAllocWriteCombined: Allocates the memory as write-combined (WC). /// WC memory can be transferred across the PCI Express bus more quickly on some /// system configurations, but cannot be read efficiently by most CPUs. WC /// memory is a good option for buffers that will be written by the CPU and read /// by the device via mapped pinned memory or host->device transfers. /// /// All of these flags are orthogonal to one another: a developer may allocate /// memory that is portable, mapped and/or write-combined with no restrictions. /// /// ::cudaSetDeviceFlags() must have been called with the ::cudaDeviceMapHost /// flag in order for the ::cudaHostAllocMapped flag to have any effect. /// /// The ::cudaHostAllocMapped flag may be specified on CUDA contexts for devices /// that do not support mapped pinned memory. The failure is deferred to /// ::cudaHostGetDevicePointer() because the memory may be mapped into other /// CUDA contexts via the ::cudaHostAllocPortable flag. /// /// Memory allocated by this function must be freed with ::cudaFreeHost(). /// /// \param pHost - Device pointer to allocated memory /// \param size - Requested allocation size in bytes /// \param flags - Requested properties of allocated memory /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaSetDeviceFlags, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost pub fn cudaHostAlloc( pHost: *mut *mut ::libc::c_void, size: usize, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Registers an existing host memory range for use by CUDA /// /// Page-locks the memory range specified by \p ptr and \p size and maps it /// for the device(s) as specified by \p flags. This memory range also is added /// to the same tracking mechanism as ::cudaHostAlloc() to automatically accelerate /// calls to functions such as ::cudaMemcpy(). Since the memory can be accessed /// directly by the device, it can be read or written with much higher bandwidth /// than pageable memory that has not been registered. Page-locking excessive /// amounts of memory may degrade system performance, since it reduces the amount /// of memory available to the system for paging. As a result, this function is /// best used sparingly to register staging areas for data exchange between /// host and device. /// /// The \p flags parameter enables different options to be specified that /// affect the allocation, as follows. /// /// - ::cudaHostRegisterDefault: On a system with unified virtual addressing, /// the memory will be both mapped and portable. On a system with no unified /// virtual addressing, the memory will be neither mapped nor portable. /// /// - ::cudaHostRegisterPortable: The memory returned by this call will be /// considered as pinned memory by all CUDA contexts, not just the one that /// performed the allocation. /// /// - ::cudaHostRegisterMapped: Maps the allocation into the CUDA address /// space. The device pointer to the memory may be obtained by calling /// ::cudaHostGetDevicePointer(). /// /// - ::cudaHostRegisterIoMemory: The passed memory pointer is treated as /// pointing to some memory-mapped I/O space, e.g. belonging to a /// third-party PCIe device, and it will marked as non cache-coherent and /// contiguous. /// /// All of these flags are orthogonal to one another: a developer may page-lock /// memory that is portable or mapped with no restrictions. /// /// The CUDA context must have been created with the ::cudaMapHost flag in /// order for the ::cudaHostRegisterMapped flag to have any effect. /// /// The ::cudaHostRegisterMapped flag may be specified on CUDA contexts for /// devices that do not support mapped pinned memory. The failure is deferred /// to ::cudaHostGetDevicePointer() because the memory may be mapped into /// other CUDA contexts via the ::cudaHostRegisterPortable flag. /// /// For devices that have a non-zero value for the device attribute /// ::cudaDevAttrCanUseHostPointerForRegisteredMem, the memory /// can also be accessed from the device using the host pointer \p ptr. /// The device pointer returned by ::cudaHostGetDevicePointer() may or may not /// match the original host pointer \p ptr and depends on the devices visible to the /// application. If all devices visible to the application have a non-zero value for the /// device attribute, the device pointer returned by ::cudaHostGetDevicePointer() /// will match the original pointer \p ptr. If any device visible to the application /// has a zero value for the device attribute, the device pointer returned by /// ::cudaHostGetDevicePointer() will not match the original host pointer \p ptr, /// but it will be suitable for use on all devices provided Unified Virtual Addressing /// is enabled. In such systems, it is valid to access the memory using either pointer /// on devices that have a non-zero value for the device attribute. Note however that /// such devices should access the memory using only of the two pointers and not both. /// /// The memory page-locked by this function must be unregistered with ::cudaHostUnregister(). /// /// \param ptr - Host pointer to memory to page-lock /// \param size - Size in bytes of the address range to page-lock in bytes /// \param flags - Flags for allocation request /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorMemoryAllocation, /// ::cudaErrorHostMemoryAlreadyRegistered /// \notefnerr /// /// \sa ::cudaHostUnregister, ::cudaHostGetFlags, ::cudaHostGetDevicePointer pub fn cudaHostRegister( ptr: *mut ::libc::c_void, size: usize, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Unregisters a memory range that was registered with cudaHostRegister /// /// Unmaps the memory range whose base address is specified by \p ptr, and makes /// it pageable again. /// /// The base address must be the same one specified to ::cudaHostRegister(). /// /// \param ptr - Host pointer to memory to unregister /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaHostUnregister pub fn cudaHostUnregister(ptr: *mut ::libc::c_void) -> cudaError_t; } extern "C" { /// \brief Passes back device pointer of mapped host memory allocated by /// cudaHostAlloc or registered by cudaHostRegister /// /// Passes back the device pointer corresponding to the mapped, pinned host /// buffer allocated by ::cudaHostAlloc() or registered by ::cudaHostRegister(). /// /// ::cudaHostGetDevicePointer() will fail if the ::cudaDeviceMapHost flag was /// not specified before deferred context creation occurred, or if called on a /// device that does not support mapped, pinned memory. /// /// For devices that have a non-zero value for the device attribute /// ::cudaDevAttrCanUseHostPointerForRegisteredMem, the memory /// can also be accessed from the device using the host pointer \p pHost. /// The device pointer returned by ::cudaHostGetDevicePointer() may or may not /// match the original host pointer \p pHost and depends on the devices visible to the /// application. If all devices visible to the application have a non-zero value for the /// device attribute, the device pointer returned by ::cudaHostGetDevicePointer() /// will match the original pointer \p pHost. If any device visible to the application /// has a zero value for the device attribute, the device pointer returned by /// ::cudaHostGetDevicePointer() will not match the original host pointer \p pHost, /// but it will be suitable for use on all devices provided Unified Virtual Addressing /// is enabled. In such systems, it is valid to access the memory using either pointer /// on devices that have a non-zero value for the device attribute. Note however that /// such devices should access the memory using only of the two pointers and not both. /// /// \p flags provides for future releases. For now, it must be set to 0. /// /// \param pDevice - Returned device pointer for mapped memory /// \param pHost - Requested host pointer mapping /// \param flags - Flags for extensions (must be 0 for now) /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaSetDeviceFlags, ::cudaHostAlloc pub fn cudaHostGetDevicePointer( pDevice: *mut *mut ::libc::c_void, pHost: *mut ::libc::c_void, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Passes back flags used to allocate pinned host memory allocated by /// cudaHostAlloc /// /// ::cudaHostGetFlags() will fail if the input pointer does not /// reside in an address range allocated by ::cudaHostAlloc(). /// /// \param pFlags - Returned flags word /// \param pHost - Host pointer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaHostAlloc pub fn cudaHostGetFlags(pFlags: *mut ::libc::c_uint, pHost: *mut ::libc::c_void) -> cudaError_t; } extern "C" { /// \brief Allocates logical 1D, 2D, or 3D memory objects on the device /// /// Allocates at least \p width * \p height * \p depth bytes of linear memory /// on the device and returns a ::cudaPitchedPtr in which \p ptr is a pointer /// to the allocated memory. The function may pad the allocation to ensure /// hardware alignment requirements are met. The pitch returned in the \p pitch /// field of \p pitchedDevPtr is the width in bytes of the allocation. /// /// The returned ::cudaPitchedPtr contains additional fields \p xsize and /// \p ysize, the logical width and height of the allocation, which are /// equivalent to the \p width and \p height \p extent parameters provided by /// the programmer during allocation. /// /// For allocations of 2D and 3D objects, it is highly recommended that /// programmers perform allocations using ::cudaMalloc3D() or /// ::cudaMallocPitch(). Due to alignment restrictions in the hardware, this is /// especially true if the application will be performing memory copies /// involving 2D or 3D objects (whether linear memory or CUDA arrays). /// /// \param pitchedDevPtr - Pointer to allocated pitched device memory /// \param extent - Requested allocation size (\p width field in bytes) /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaMallocPitch, ::cudaFree, ::cudaMemcpy3D, ::cudaMemset3D, /// ::cudaMalloc3DArray, ::cudaMallocArray, ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc, ::make_cudaPitchedPtr, ::make_cudaExtent pub fn cudaMalloc3D(pitchedDevPtr: *mut cudaPitchedPtr, extent: cudaExtent) -> cudaError_t; } extern "C" { /// \brief Allocate an array on the device /// /// Allocates a CUDA array according to the ::cudaChannelFormatDesc structure /// \p desc and returns a handle to the new CUDA array in \p *array. /// /// The ::cudaChannelFormatDesc is defined as: /// \code /// struct cudaChannelFormatDesc { /// int x, y, z, w; /// enum cudaChannelFormatKind f; /// }; /// \endcode /// where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned, /// ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat. /// /// ::cudaMalloc3DArray() can allocate the following: /// /// - A 1D array is allocated if the height and depth extents are both zero. /// - A 2D array is allocated if only the depth extent is zero. /// - A 3D array is allocated if all three extents are non-zero. /// - A 1D layered CUDA array is allocated if only the height extent is zero and /// the cudaArrayLayered flag is set. Each layer is a 1D array. The number of layers is /// determined by the depth extent. /// - A 2D layered CUDA array is allocated if all three extents are non-zero and /// the cudaArrayLayered flag is set. Each layer is a 2D array. The number of layers is /// determined by the depth extent. /// - A cubemap CUDA array is allocated if all three extents are non-zero and the /// cudaArrayCubemap flag is set. Width must be equal to height, and depth must be six. A cubemap is /// a special type of 2D layered CUDA array, where the six layers represent the six faces of a cube. /// The order of the six layers in memory is the same as that listed in ::cudaGraphicsCubeFace. /// - A cubemap layered CUDA array is allocated if all three extents are non-zero, and both, /// cudaArrayCubemap and cudaArrayLayered flags are set. Width must be equal to height, and depth must be /// a multiple of six. A cubemap layered CUDA array is a special type of 2D layered CUDA array that consists /// of a collection of cubemaps. The first six layers represent the first cubemap, the next six layers form /// the second cubemap, and so on. /// /// /// The \p flags parameter enables different options to be specified that affect /// the allocation, as follows. /// - ::cudaArrayDefault: This flag's value is defined to be 0 and provides default array allocation /// - ::cudaArrayLayered: Allocates a layered CUDA array, with the depth extent indicating the number of layers /// - ::cudaArrayCubemap: Allocates a cubemap CUDA array. Width must be equal to height, and depth must be six. /// If the cudaArrayLayered flag is also set, depth must be a multiple of six. /// - ::cudaArraySurfaceLoadStore: Allocates a CUDA array that could be read from or written to using a surface /// reference. /// - ::cudaArrayTextureGather: This flag indicates that texture gather operations will be performed on the CUDA /// array. Texture gather can only be performed on 2D CUDA arrays. /// /// The width, height and depth extents must meet certain size requirements as listed in the following table. /// All values are specified in elements. /// /// Note that 2D CUDA arrays have different size requirements if the ::cudaArrayTextureGather flag is set. In that /// case, the valid range for (width, height, depth) is ((1,maxTexture2DGather[0]), (1,maxTexture2DGather[1]), 0). /// /// \xmlonly /// <table outputclass="xmlonly"> /// <tgroup cols="3" colsep="1" rowsep="1"> /// <colspec colname="c1" colwidth="1.0*"/> /// <colspec colname="c2" colwidth="3.0*"/> /// <colspec colname="c3" colwidth="3.0*"/> /// <thead> /// <row> /// <entry>CUDA array type</entry> /// <entry>Valid extents that must always be met {(width range in elements), /// (height range), (depth range)}</entry> /// <entry>Valid extents with cudaArraySurfaceLoadStore set {(width range in /// elements), (height range), (depth range)}</entry> /// </row> /// </thead> /// <tbody> /// <row> /// <entry>1D</entry> /// <entry>{ (1,maxTexture1D), 0, 0 }</entry> /// <entry>{ (1,maxSurface1D), 0, 0 }</entry> /// </row> /// <row> /// <entry>2D</entry> /// <entry>{ (1,maxTexture2D[0]), (1,maxTexture2D[1]), 0 }</entry> /// <entry>{ (1,maxSurface2D[0]), (1,maxSurface2D[1]), 0 }</entry> /// </row> /// <row> /// <entry>3D</entry> /// <entry>{ (1,maxTexture3D[0]), (1,maxTexture3D[1]), (1,maxTexture3D[2]) } /// OR { (1,maxTexture3DAlt[0]), (1,maxTexture3DAlt[1]), /// (1,maxTexture3DAlt[2]) }</entry> /// <entry>{ (1,maxSurface3D[0]), (1,maxSurface3D[1]), (1,maxSurface3D[2]) }</entry> /// </row> /// <row> /// <entry>1D Layered</entry> /// <entry>{ (1,maxTexture1DLayered[0]), 0, (1,maxTexture1DLayered[1]) }</entry> /// <entry>{ (1,maxSurface1DLayered[0]), 0, (1,maxSurface1DLayered[1]) }</entry> /// </row> /// <row> /// <entry>2D Layered</entry> /// <entry>{ (1,maxTexture2DLayered[0]), (1,maxTexture2DLayered[1]), /// (1,maxTexture2DLayered[2]) }</entry> /// <entry>{ (1,maxSurface2DLayered[0]), (1,maxSurface2DLayered[1]), /// (1,maxSurface2DLayered[2]) }</entry> /// </row> /// <row> /// <entry>Cubemap</entry> /// <entry>{ (1,maxTextureCubemap), (1,maxTextureCubemap), 6 }</entry> /// <entry>{ (1,maxSurfaceCubemap), (1,maxSurfaceCubemap), 6 }</entry> /// </row> /// <row> /// <entry>Cubemap Layered</entry> /// <entry>{ (1,maxTextureCubemapLayered[0]), (1,maxTextureCubemapLayered[0]), /// (1,maxTextureCubemapLayered[1]) }</entry> /// <entry>{ (1,maxSurfaceCubemapLayered[0]), (1,maxSurfaceCubemapLayered[0]), /// (1,maxSurfaceCubemapLayered[1]) }</entry> /// </row> /// </tbody> /// </tgroup> /// </table> /// \endxmlonly /// /// \param array - Pointer to allocated array in device memory /// \param desc - Requested channel format /// \param extent - Requested allocation size (\p width field in elements) /// \param flags - Flags for extensions /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaMalloc3D, ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, /// ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc, /// ::make_cudaExtent pub fn cudaMalloc3DArray( array: *mut cudaArray_t, desc: *const cudaChannelFormatDesc, extent: cudaExtent, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Allocate a mipmapped array on the device /// /// Allocates a CUDA mipmapped array according to the ::cudaChannelFormatDesc structure /// \p desc and returns a handle to the new CUDA mipmapped array in \p *mipmappedArray. /// \p numLevels specifies the number of mipmap levels to be allocated. This value is /// clamped to the range [1, 1 + floor(log2(max(width, height, depth)))]. /// /// The ::cudaChannelFormatDesc is defined as: /// \code /// struct cudaChannelFormatDesc { /// int x, y, z, w; /// enum cudaChannelFormatKind f; /// }; /// \endcode /// where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned, /// ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat. /// /// ::cudaMallocMipmappedArray() can allocate the following: /// /// - A 1D mipmapped array is allocated if the height and depth extents are both zero. /// - A 2D mipmapped array is allocated if only the depth extent is zero. /// - A 3D mipmapped array is allocated if all three extents are non-zero. /// - A 1D layered CUDA mipmapped array is allocated if only the height extent is zero and /// the cudaArrayLayered flag is set. Each layer is a 1D mipmapped array. The number of layers is /// determined by the depth extent. /// - A 2D layered CUDA mipmapped array is allocated if all three extents are non-zero and /// the cudaArrayLayered flag is set. Each layer is a 2D mipmapped array. The number of layers is /// determined by the depth extent. /// - A cubemap CUDA mipmapped array is allocated if all three extents are non-zero and the /// cudaArrayCubemap flag is set. Width must be equal to height, and depth must be six. /// The order of the six layers in memory is the same as that listed in ::cudaGraphicsCubeFace. /// - A cubemap layered CUDA mipmapped array is allocated if all three extents are non-zero, and both, /// cudaArrayCubemap and cudaArrayLayered flags are set. Width must be equal to height, and depth must be /// a multiple of six. A cubemap layered CUDA mipmapped array is a special type of 2D layered CUDA mipmapped /// array that consists of a collection of cubemap mipmapped arrays. The first six layers represent the /// first cubemap mipmapped array, the next six layers form the second cubemap mipmapped array, and so on. /// /// /// The \p flags parameter enables different options to be specified that affect /// the allocation, as follows. /// - ::cudaArrayDefault: This flag's value is defined to be 0 and provides default mipmapped array allocation /// - ::cudaArrayLayered: Allocates a layered CUDA mipmapped array, with the depth extent indicating the number of layers /// - ::cudaArrayCubemap: Allocates a cubemap CUDA mipmapped array. Width must be equal to height, and depth must be six. /// If the cudaArrayLayered flag is also set, depth must be a multiple of six. /// - ::cudaArraySurfaceLoadStore: This flag indicates that individual mipmap levels of the CUDA mipmapped array /// will be read from or written to using a surface reference. /// - ::cudaArrayTextureGather: This flag indicates that texture gather operations will be performed on the CUDA /// array. Texture gather can only be performed on 2D CUDA mipmapped arrays, and the gather operations are /// performed only on the most detailed mipmap level. /// /// The width, height and depth extents must meet certain size requirements as listed in the following table. /// All values are specified in elements. /// /// \xmlonly /// <table outputclass="xmlonly"> /// <tgroup cols="2" colsep="1" rowsep="1"> /// <colspec colname="c1" colwidth="1.0*"/> /// <colspec colname="c2" colwidth="3.0*"/> /// <thead> /// <row> /// <entry>CUDA array type</entry> /// <entry>Valid extents {(width range in elements), (height range), (depth /// range)}</entry> /// </row> /// </thead> /// <tbody> /// <row> /// <entry>1D</entry> /// <entry>{ (1,maxTexture1DMipmap), 0, 0 }</entry> /// </row> /// <row> /// <entry>2D</entry> /// <entry>{ (1,maxTexture2DMipmap[0]), (1,maxTexture2DMipmap[1]), 0 }</entry> /// </row> /// <row> /// <entry>3D</entry> /// <entry>{ (1,maxTexture3D[0]), (1,maxTexture3D[1]), (1,maxTexture3D[2]) }</entry> /// </row> /// <row> /// <entry>1D Layered</entry> /// <entry>{ (1,maxTexture1DLayered[0]), 0, (1,maxTexture1DLayered[1]) }</entry> /// </row> /// <row> /// <entry>2D Layered</entry> /// <entry>{ (1,maxTexture2DLayered[0]), (1,maxTexture2DLayered[1]), /// (1,maxTexture2DLayered[2]) }</entry> /// </row> /// <row> /// <entry>Cubemap</entry> /// <entry>{ (1,maxTextureCubemap), (1,maxTextureCubemap), 6 }</entry> /// </row> /// <row> /// <entry>Cubemap Layered</entry> /// <entry>{ (1,maxTextureCubemapLayered[0]), (1,maxTextureCubemapLayered[0]), /// (1,maxTextureCubemapLayered[1]) }</entry> /// </row> /// </tbody> /// </tgroup> /// </table> /// \endxmlonly /// /// \param mipmappedArray - Pointer to allocated mipmapped array in device memory /// \param desc - Requested channel format /// \param extent - Requested allocation size (\p width field in elements) /// \param numLevels - Number of mipmap levels to allocate /// \param flags - Flags for extensions /// /// \return /// ::cudaSuccess, /// ::cudaErrorMemoryAllocation /// \notefnerr /// /// \sa ::cudaMalloc3D, ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, /// ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc, /// ::make_cudaExtent pub fn cudaMallocMipmappedArray( mipmappedArray: *mut cudaMipmappedArray_t, desc: *const cudaChannelFormatDesc, extent: cudaExtent, numLevels: ::libc::c_uint, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Gets a mipmap level of a CUDA mipmapped array /// /// Returns in \p *levelArray a CUDA array that represents a single mipmap level /// of the CUDA mipmapped array \p mipmappedArray. /// /// If \p level is greater than the maximum number of levels in this mipmapped array, /// ::cudaErrorInvalidValue is returned. /// /// \param levelArray - Returned mipmap level CUDA array /// \param mipmappedArray - CUDA mipmapped array /// \param level - Mipmap level /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaMalloc3D, ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, /// ::cudaFreeArray, /// \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)", /// ::cudaFreeHost, ::cudaHostAlloc, /// ::make_cudaExtent pub fn cudaGetMipmappedArrayLevel( levelArray: *mut cudaArray_t, mipmappedArray: cudaMipmappedArray_const_t, level: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Copies data between 3D objects /// /// \code /// struct cudaExtent { /// size_t width; /// size_t height; /// size_t depth; /// }; /// struct cudaExtent make_cudaExtent(size_t w, size_t h, size_t d); /// /// struct cudaPos { /// size_t x; /// size_t y; /// size_t z; /// }; /// struct cudaPos make_cudaPos(size_t x, size_t y, size_t z); /// /// struct cudaMemcpy3DParms { /// cudaArray_t srcArray; /// struct cudaPos srcPos; /// struct cudaPitchedPtr srcPtr; /// cudaArray_t dstArray; /// struct cudaPos dstPos; /// struct cudaPitchedPtr dstPtr; /// struct cudaExtent extent; /// enum cudaMemcpyKind kind; /// }; /// \endcode /// /// ::cudaMemcpy3D() copies data betwen two 3D objects. The source and /// destination objects may be in either host memory, device memory, or a CUDA /// array. The source, destination, extent, and kind of copy performed is /// specified by the ::cudaMemcpy3DParms struct which should be initialized to /// zero before use: /// \code /// cudaMemcpy3DParms myParms = {0}; /// \endcode /// /// The struct passed to ::cudaMemcpy3D() must specify one of \p srcArray or /// \p srcPtr and one of \p dstArray or \p dstPtr. Passing more than one /// non-zero source or destination will cause ::cudaMemcpy3D() to return an /// error. /// /// The \p srcPos and \p dstPos fields are optional offsets into the source and /// destination objects and are defined in units of each object's elements. The /// element for a host or device pointer is assumed to be <b>unsigned char</b>. /// For CUDA arrays, positions must be in the range [0, 2048) for any /// dimension. /// /// The \p extent field defines the dimensions of the transferred area in /// elements. If a CUDA array is participating in the copy, the extent is /// defined in terms of that array's elements. If no CUDA array is /// participating in the copy then the extents are defined in elements of /// <b>unsigned char</b>. /// /// The \p kind field defines the direction of the copy. It must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// If the source and destination are both arrays, ::cudaMemcpy3D() will return /// an error if they do not have the same element size. /// /// The source and destination object may not overlap. If overlapping source /// and destination objects are specified, undefined behavior will result. /// /// The source object must lie entirely within the region defined by \p srcPos /// and \p extent. The destination object must lie entirely within the region /// defined by \p dstPos and \p extent. /// /// ::cudaMemcpy3D() returns an error if the pitch of \p srcPtr or \p dstPtr /// exceeds the maximum allowed. The pitch of a ::cudaPitchedPtr allocated /// with ::cudaMalloc3D() will always be valid. /// /// \param p - 3D memory copy parameters /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// /// \sa ::cudaMalloc3D, ::cudaMalloc3DArray, ::cudaMemset3D, ::cudaMemcpy3DAsync, /// ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync, /// ::make_cudaExtent, ::make_cudaPos pub fn cudaMemcpy3D(p: *const cudaMemcpy3DParms) -> cudaError_t; } extern "C" { /// \brief Copies memory between devices /// /// Perform a 3D memory copy according to the parameters specified in /// \p p. See the definition of the ::cudaMemcpy3DPeerParms structure /// for documentation of its parameters. /// /// Note that this function is synchronous with respect to the host only if /// the source or destination of the transfer is host memory. Note also /// that this copy is serialized with respect to all pending and future /// asynchronous work in to the current device, the copy's source device, /// and the copy's destination device (use ::cudaMemcpy3DPeerAsync to avoid /// this synchronization). /// /// \param p - Parameters for the memory copy /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// \note_sync /// /// \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync, ::cudaMemcpyPeerAsync, /// ::cudaMemcpy3DPeerAsync pub fn cudaMemcpy3DPeer(p: *const cudaMemcpy3DPeerParms) -> cudaError_t; } extern "C" { /// \brief Copies data between 3D objects /// /// \code /// struct cudaExtent { /// size_t width; /// size_t height; /// size_t depth; /// }; /// struct cudaExtent make_cudaExtent(size_t w, size_t h, size_t d); /// /// struct cudaPos { /// size_t x; /// size_t y; /// size_t z; /// }; /// struct cudaPos make_cudaPos(size_t x, size_t y, size_t z); /// /// struct cudaMemcpy3DParms { /// cudaArray_t srcArray; /// struct cudaPos srcPos; /// struct cudaPitchedPtr srcPtr; /// cudaArray_t dstArray; /// struct cudaPos dstPos; /// struct cudaPitchedPtr dstPtr; /// struct cudaExtent extent; /// enum cudaMemcpyKind kind; /// }; /// \endcode /// /// ::cudaMemcpy3DAsync() copies data betwen two 3D objects. The source and /// destination objects may be in either host memory, device memory, or a CUDA /// array. The source, destination, extent, and kind of copy performed is /// specified by the ::cudaMemcpy3DParms struct which should be initialized to /// zero before use: /// \code /// cudaMemcpy3DParms myParms = {0}; /// \endcode /// /// The struct passed to ::cudaMemcpy3DAsync() must specify one of \p srcArray /// or \p srcPtr and one of \p dstArray or \p dstPtr. Passing more than one /// non-zero source or destination will cause ::cudaMemcpy3DAsync() to return an /// error. /// /// The \p srcPos and \p dstPos fields are optional offsets into the source and /// destination objects and are defined in units of each object's elements. The /// element for a host or device pointer is assumed to be <b>unsigned char</b>. /// For CUDA arrays, positions must be in the range [0, 2048) for any /// dimension. /// /// The \p extent field defines the dimensions of the transferred area in /// elements. If a CUDA array is participating in the copy, the extent is /// defined in terms of that array's elements. If no CUDA array is /// participating in the copy then the extents are defined in elements of /// <b>unsigned char</b>. /// /// The \p kind field defines the direction of the copy. It must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// If the source and destination are both arrays, ::cudaMemcpy3DAsync() will /// return an error if they do not have the same element size. /// /// The source and destination object may not overlap. If overlapping source /// and destination objects are specified, undefined behavior will result. /// /// The source object must lie entirely within the region defined by \p srcPos /// and \p extent. The destination object must lie entirely within the region /// defined by \p dstPos and \p extent. /// /// ::cudaMemcpy3DAsync() returns an error if the pitch of \p srcPtr or /// \p dstPtr exceeds the maximum allowed. The pitch of a /// ::cudaPitchedPtr allocated with ::cudaMalloc3D() will always be valid. /// /// ::cudaMemcpy3DAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally /// be associated to a stream by passing a non-zero \p stream argument. If /// \p kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream /// is non-zero, the copy may overlap with operations in other streams. /// /// The device version of this function only handles device to device copies and /// cannot be given local or shared pointers. /// /// \param p - 3D memory copy parameters /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMalloc3D, ::cudaMalloc3DArray, ::cudaMemset3D, ::cudaMemcpy3D, /// ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync, /// ::make_cudaExtent, ::make_cudaPos pub fn cudaMemcpy3DAsync(p: *const cudaMemcpy3DParms, stream: cudaStream_t) -> cudaError_t; } extern "C" { /// \brief Copies memory between devices asynchronously. /// /// Perform a 3D memory copy according to the parameters specified in /// \p p. See the definition of the ::cudaMemcpy3DPeerParms structure /// for documentation of its parameters. /// /// \param p - Parameters for the memory copy /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync, ::cudaMemcpyPeerAsync, /// ::cudaMemcpy3DPeerAsync pub fn cudaMemcpy3DPeerAsync( p: *const cudaMemcpy3DPeerParms, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Gets free and total device memory /// /// Returns in \p *free and \p *total respectively, the free and total amount of /// memory available for allocation by the device in bytes. /// /// \param free - Returned free memory in bytes /// \param total - Returned total memory in bytes /// /// \return /// ::cudaSuccess, /// ::cudaErrorInitializationError, /// ::cudaErrorInvalidValue, /// ::cudaErrorLaunchFailure /// \notefnerr /// pub fn cudaMemGetInfo(free: *mut usize, total: *mut usize) -> cudaError_t; } extern "C" { /// \brief Gets info about the specified cudaArray /// /// Returns in \p *desc, \p *extent and \p *flags respectively, the type, shape /// and flags of \p array. /// /// Any of \p *desc, \p *extent and \p *flags may be specified as NULL. /// /// \param desc - Returned array type /// \param extent - Returned array shape. 2D arrays will have depth of zero /// \param flags - Returned array flags /// \param array - The ::cudaArray to get info for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// pub fn cudaArrayGetInfo( desc: *mut cudaChannelFormatDesc, extent: *mut cudaExtent, flags: *mut ::libc::c_uint, array: cudaArray_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies \p count bytes from the memory area pointed to by \p src to the /// memory area pointed to by \p dst, where \p kind specifies the direction /// of the copy, and must be one of ::cudaMemcpyHostToHost, /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. Calling /// ::cudaMemcpy() with dst and src pointers that do not match the direction of /// the copy results in an undefined behavior. /// /// \param dst - Destination memory address /// \param src - Source memory address /// \param count - Size in bytes to copy /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// /// \note_sync /// /// \sa ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy( dst: *mut ::libc::c_void, src: *const ::libc::c_void, count: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies memory between two devices /// /// Copies memory from one device to memory on another device. \p dst is the /// base device pointer of the destination memory and \p dstDevice is the /// destination device. \p src is the base device pointer of the source memory /// and \p srcDevice is the source device. \p count specifies the number of bytes /// to copy. /// /// Note that this function is asynchronous with respect to the host, but /// serialized with respect all pending and future asynchronous work in to the /// current device, \p srcDevice, and \p dstDevice (use ::cudaMemcpyPeerAsync /// to avoid this synchronization). /// /// \param dst - Destination device pointer /// \param dstDevice - Destination device /// \param src - Source device pointer /// \param srcDevice - Source device /// \param count - Size of memory copy in bytes /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// \note_sync /// /// \sa ::cudaMemcpy, ::cudaMemcpyAsync, ::cudaMemcpyPeerAsync, /// ::cudaMemcpy3DPeerAsync pub fn cudaMemcpyPeer( dst: *mut ::libc::c_void, dstDevice: ::libc::c_int, src: *const ::libc::c_void, srcDevice: ::libc::c_int, count: usize, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies \p count bytes from the memory area pointed to by \p src to the /// CUDA array \p dst starting at the upper left corner /// (\p wOffset, \p hOffset), where \p kind specifies the direction /// of the copy, and must be one of ::cudaMemcpyHostToHost, /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// \param dst - Destination memory address /// \param wOffset - Destination starting X offset /// \param hOffset - Destination starting Y offset /// \param src - Source memory address /// \param count - Size in bytes to copy /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyToArray( dst: cudaArray_t, wOffset: usize, hOffset: usize, src: *const ::libc::c_void, count: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies \p count bytes from the CUDA array \p src starting at the upper /// left corner (\p wOffset, hOffset) to the memory area pointed to by \p dst, /// where \p kind specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// \param dst - Destination memory address /// \param src - Source memory address /// \param wOffset - Source starting X offset /// \param hOffset - Source starting Y offset /// \param count - Size in bytes to copy /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyFromArray( dst: *mut ::libc::c_void, src: cudaArray_const_t, wOffset: usize, hOffset: usize, count: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies \p count bytes from the CUDA array \p src starting at the upper /// left corner (\p wOffsetSrc, \p hOffsetSrc) to the CUDA array \p dst /// starting at the upper left corner (\p wOffsetDst, \p hOffsetDst) where /// \p kind specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// \param dst - Destination memory address /// \param wOffsetDst - Destination starting X offset /// \param hOffsetDst - Destination starting Y offset /// \param src - Source memory address /// \param wOffsetSrc - Source starting X offset /// \param hOffsetSrc - Source starting Y offset /// \param count - Size in bytes to copy /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyArrayToArray( dst: cudaArray_t, wOffsetDst: usize, hOffsetDst: usize, src: cudaArray_const_t, wOffsetSrc: usize, hOffsetSrc: usize, count: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies a matrix (\p height rows of \p width bytes each) from the memory /// area pointed to by \p src to the memory area pointed to by \p dst, where /// \p kind specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. \p dpitch and /// \p spitch are the widths in memory in bytes of the 2D arrays pointed to by /// \p dst and \p src, including any padding added to the end of each row. The /// memory areas may not overlap. \p width must not exceed either \p dpitch or /// \p spitch. Calling ::cudaMemcpy2D() with \p dst and \p src pointers that do /// not match the direction of the copy results in an undefined behavior. /// ::cudaMemcpy2D() returns an error if \p dpitch or \p spitch exceeds /// the maximum allowed. /// /// \param dst - Destination memory address /// \param dpitch - Pitch of destination memory /// \param src - Source memory address /// \param spitch - Pitch of source memory /// \param width - Width of matrix transfer (columns in bytes) /// \param height - Height of matrix transfer (rows) /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// /// \sa ::cudaMemcpy, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy2D( dst: *mut ::libc::c_void, dpitch: usize, src: *const ::libc::c_void, spitch: usize, width: usize, height: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies a matrix (\p height rows of \p width bytes each) from the memory /// area pointed to by \p src to the CUDA array \p dst starting at the /// upper left corner (\p wOffset, \p hOffset) where \p kind specifies the /// direction of the copy, and must be one of ::cudaMemcpyHostToHost, /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// \p spitch is the width in memory in bytes of the 2D array pointed to by /// \p src, including any padding added to the end of each row. \p wOffset + /// \p width must not exceed the width of the CUDA array \p dst. \p width must /// not exceed \p spitch. ::cudaMemcpy2DToArray() returns an error if \p spitch /// exceeds the maximum allowed. /// /// \param dst - Destination memory address /// \param wOffset - Destination starting X offset /// \param hOffset - Destination starting Y offset /// \param src - Source memory address /// \param spitch - Pitch of source memory /// \param width - Width of matrix transfer (columns in bytes) /// \param height - Height of matrix transfer (rows) /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy2DToArray( dst: cudaArray_t, wOffset: usize, hOffset: usize, src: *const ::libc::c_void, spitch: usize, width: usize, height: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies a matrix (\p height rows of \p width bytes each) from the CUDA /// array \p srcArray starting at the upper left corner /// (\p wOffset, \p hOffset) to the memory area pointed to by \p dst, where /// \p kind specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. \p dpitch is the /// width in memory in bytes of the 2D array pointed to by \p dst, including any /// padding added to the end of each row. \p wOffset + \p width must not exceed /// the width of the CUDA array \p src. \p width must not exceed \p dpitch. /// ::cudaMemcpy2DFromArray() returns an error if \p dpitch exceeds the maximum /// allowed. /// /// \param dst - Destination memory address /// \param dpitch - Pitch of destination memory /// \param src - Source memory address /// \param wOffset - Source starting X offset /// \param hOffset - Source starting Y offset /// \param width - Width of matrix transfer (columns in bytes) /// \param height - Height of matrix transfer (rows) /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy2DFromArray( dst: *mut ::libc::c_void, dpitch: usize, src: cudaArray_const_t, wOffset: usize, hOffset: usize, width: usize, height: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies a matrix (\p height rows of \p width bytes each) from the CUDA /// array \p srcArray starting at the upper left corner /// (\p wOffsetSrc, \p hOffsetSrc) to the CUDA array \p dst starting at /// the upper left corner (\p wOffsetDst, \p hOffsetDst), where \p kind /// specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// \p wOffsetDst + \p width must not exceed the width of the CUDA array \p dst. /// \p wOffsetSrc + \p width must not exceed the width of the CUDA array \p src. /// /// \param dst - Destination memory address /// \param wOffsetDst - Destination starting X offset /// \param hOffsetDst - Destination starting Y offset /// \param src - Source memory address /// \param wOffsetSrc - Source starting X offset /// \param hOffsetSrc - Source starting Y offset /// \param width - Width of matrix transfer (columns in bytes) /// \param height - Height of matrix transfer (rows) /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy2DArrayToArray( dst: cudaArray_t, wOffsetDst: usize, hOffsetDst: usize, src: cudaArray_const_t, wOffsetSrc: usize, hOffsetSrc: usize, width: usize, height: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data to the given symbol on the device /// /// Copies \p count bytes from the memory area pointed to by \p src /// to the memory area pointed to by \p offset bytes from the start of symbol /// \p symbol. The memory areas may not overlap. \p symbol is a variable that /// resides in global or constant memory space. \p kind can be either /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. /// Passing ::cudaMemcpyDefault is recommended, in which case the type of /// transfer is inferred from the pointer values. However, ::cudaMemcpyDefault /// is only allowed on systems that support unified virtual addressing. /// /// \param symbol - Device symbol address /// \param src - Source memory address /// \param count - Size in bytes to copy /// \param offset - Offset from start of symbol in bytes /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidSymbol, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// \note_string_api_deprecation /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyToSymbol( symbol: *const ::libc::c_void, src: *const ::libc::c_void, count: usize, offset: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data from the given symbol on the device /// /// Copies \p count bytes from the memory area pointed to by \p offset bytes /// from the start of symbol \p symbol to the memory area pointed to by \p dst. /// The memory areas may not overlap. \p symbol is a variable that /// resides in global or constant memory space. \p kind can be either /// ::cudaMemcpyDeviceToHost, ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. /// Passing ::cudaMemcpyDefault is recommended, in which case the type of /// transfer is inferred from the pointer values. However, ::cudaMemcpyDefault /// is only allowed on systems that support unified virtual addressing. /// /// \param dst - Destination memory address /// \param symbol - Device symbol address /// \param count - Size in bytes to copy /// \param offset - Offset from start of symbol in bytes /// \param kind - Type of transfer /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidSymbol, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_sync /// \note_string_api_deprecation /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyFromSymbol( dst: *mut ::libc::c_void, symbol: *const ::libc::c_void, count: usize, offset: usize, kind: cudaMemcpyKind, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies \p count bytes from the memory area pointed to by \p src to the /// memory area pointed to by \p dst, where \p kind specifies the /// direction of the copy, and must be one of ::cudaMemcpyHostToHost, /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// The memory areas may not overlap. Calling ::cudaMemcpyAsync() with \p dst and /// \p src pointers that do not match the direction of the copy results in an /// undefined behavior. /// /// ::cudaMemcpyAsync() is asynchronous with respect to the host, so the call /// may return before the copy is complete. The copy can optionally be /// associated to a stream by passing a non-zero \p stream argument. If \p kind /// is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and the \p stream is /// non-zero, the copy may overlap with operations in other streams. /// /// The device version of this function only handles device to device copies and /// cannot be given local or shared pointers. /// /// \param dst - Destination memory address /// \param src - Source memory address /// \param count - Size in bytes to copy /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyAsync( dst: *mut ::libc::c_void, src: *const ::libc::c_void, count: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies memory between two devices asynchronously. /// /// Copies memory from one device to memory on another device. \p dst is the /// base device pointer of the destination memory and \p dstDevice is the /// destination device. \p src is the base device pointer of the source memory /// and \p srcDevice is the source device. \p count specifies the number of bytes /// to copy. /// /// Note that this function is asynchronous with respect to the host and all work /// on other devices. /// /// \param dst - Destination device pointer /// \param dstDevice - Destination device /// \param src - Source device pointer /// \param srcDevice - Source device /// \param count - Size of memory copy in bytes /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync, /// ::cudaMemcpy3DPeerAsync pub fn cudaMemcpyPeerAsync( dst: *mut ::libc::c_void, dstDevice: ::libc::c_int, src: *const ::libc::c_void, srcDevice: ::libc::c_int, count: usize, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies \p count bytes from the memory area pointed to by \p src to the /// CUDA array \p dst starting at the upper left corner /// (\p wOffset, \p hOffset), where \p kind specifies the /// direction of the copy, and must be one of ::cudaMemcpyHostToHost, /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// ::cudaMemcpyToArrayAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally /// be associated to a stream by passing a non-zero \p stream argument. If \p /// kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream /// is non-zero, the copy may overlap with operations in other streams. /// /// \param dst - Destination memory address /// \param wOffset - Destination starting X offset /// \param hOffset - Destination starting Y offset /// \param src - Source memory address /// \param count - Size in bytes to copy /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyToArrayAsync( dst: cudaArray_t, wOffset: usize, hOffset: usize, src: *const ::libc::c_void, count: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies \p count bytes from the CUDA array \p src starting at the upper /// left corner (\p wOffset, hOffset) to the memory area pointed to by \p dst, /// where \p kind specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// ::cudaMemcpyFromArrayAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally /// be associated to a stream by passing a non-zero \p stream argument. If \p /// kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream /// is non-zero, the copy may overlap with operations in other streams. /// /// \param dst - Destination memory address /// \param src - Source memory address /// \param wOffset - Source starting X offset /// \param hOffset - Source starting Y offset /// \param count - Size in bytes to copy /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyFromArrayAsync( dst: *mut ::libc::c_void, src: cudaArray_const_t, wOffset: usize, hOffset: usize, count: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies a matrix (\p height rows of \p width bytes each) from the memory /// area pointed to by \p src to the memory area pointed to by \p dst, where /// \p kind specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// \p dpitch and \p spitch are the widths in memory in bytes of the 2D arrays /// pointed to by \p dst and \p src, including any padding added to the end of /// each row. The memory areas may not overlap. \p width must not exceed either /// \p dpitch or \p spitch. /// /// Calling ::cudaMemcpy2DAsync() with \p dst and \p src pointers that do not /// match the direction of the copy results in an undefined behavior. /// ::cudaMemcpy2DAsync() returns an error if \p dpitch or \p spitch is greater /// than the maximum allowed. /// /// ::cudaMemcpy2DAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally /// be associated to a stream by passing a non-zero \p stream argument. If /// \p kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and /// \p stream is non-zero, the copy may overlap with operations in other /// streams. /// /// The device version of this function only handles device to device copies and /// cannot be given local or shared pointers. /// /// \param dst - Destination memory address /// \param dpitch - Pitch of destination memory /// \param src - Source memory address /// \param spitch - Pitch of source memory /// \param width - Width of matrix transfer (columns in bytes) /// \param height - Height of matrix transfer (rows) /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy2DAsync( dst: *mut ::libc::c_void, dpitch: usize, src: *const ::libc::c_void, spitch: usize, width: usize, height: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies a matrix (\p height rows of \p width bytes each) from the memory /// area pointed to by \p src to the CUDA array \p dst starting at the /// upper left corner (\p wOffset, \p hOffset) where \p kind specifies the /// direction of the copy, and must be one of ::cudaMemcpyHostToHost, /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// \p spitch is the width in memory in bytes of the 2D array pointed to by /// \p src, including any padding added to the end of each row. \p wOffset + /// \p width must not exceed the width of the CUDA array \p dst. \p width must /// not exceed \p spitch. ::cudaMemcpy2DToArrayAsync() returns an error if /// \p spitch exceeds the maximum allowed. /// /// ::cudaMemcpy2DToArrayAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally /// be associated to a stream by passing a non-zero \p stream argument. If /// \p kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and /// \p stream is non-zero, the copy may overlap with operations in other /// streams. /// /// \param dst - Destination memory address /// \param wOffset - Destination starting X offset /// \param hOffset - Destination starting Y offset /// \param src - Source memory address /// \param spitch - Pitch of source memory /// \param width - Width of matrix transfer (columns in bytes) /// \param height - Height of matrix transfer (rows) /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy2DToArrayAsync( dst: cudaArray_t, wOffset: usize, hOffset: usize, src: *const ::libc::c_void, spitch: usize, width: usize, height: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data between host and device /// /// Copies a matrix (\p height rows of \p width bytes each) from the CUDA /// array \p srcArray starting at the upper left corner /// (\p wOffset, \p hOffset) to the memory area pointed to by \p dst, where /// \p kind specifies the direction of the copy, and must be one of /// ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, /// ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. Passing /// ::cudaMemcpyDefault is recommended, in which case the type of transfer is /// inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// \p dpitch is the width in memory in bytes of the 2D /// array pointed to by \p dst, including any padding added to the end of each /// row. \p wOffset + \p width must not exceed the width of the CUDA array /// \p src. \p width must not exceed \p dpitch. ::cudaMemcpy2DFromArrayAsync() /// returns an error if \p dpitch exceeds the maximum allowed. /// /// ::cudaMemcpy2DFromArrayAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally be /// associated to a stream by passing a non-zero \p stream argument. If \p kind /// is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream is /// non-zero, the copy may overlap with operations in other streams. /// /// \param dst - Destination memory address /// \param dpitch - Pitch of destination memory /// \param src - Source memory address /// \param wOffset - Source starting X offset /// \param hOffset - Source starting Y offset /// \param width - Width of matrix transfer (columns in bytes) /// \param height - Height of matrix transfer (rows) /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidPitchValue, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, /// ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpy2DFromArrayAsync( dst: *mut ::libc::c_void, dpitch: usize, src: cudaArray_const_t, wOffset: usize, hOffset: usize, width: usize, height: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data to the given symbol on the device /// /// Copies \p count bytes from the memory area pointed to by \p src /// to the memory area pointed to by \p offset bytes from the start of symbol /// \p symbol. The memory areas may not overlap. \p symbol is a variable that /// resides in global or constant memory space. \p kind can be either /// ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. /// Passing ::cudaMemcpyDefault is recommended, in which case the type of transfer /// is inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// ::cudaMemcpyToSymbolAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally /// be associated to a stream by passing a non-zero \p stream argument. If /// \p kind is ::cudaMemcpyHostToDevice and \p stream is non-zero, the copy /// may overlap with operations in other streams. /// /// \param symbol - Device symbol address /// \param src - Source memory address /// \param count - Size in bytes to copy /// \param offset - Offset from start of symbol in bytes /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidSymbol, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// \note_string_api_deprecation /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyFromSymbolAsync pub fn cudaMemcpyToSymbolAsync( symbol: *const ::libc::c_void, src: *const ::libc::c_void, count: usize, offset: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Copies data from the given symbol on the device /// /// Copies \p count bytes from the memory area pointed to by \p offset bytes /// from the start of symbol \p symbol to the memory area pointed to by \p dst. /// The memory areas may not overlap. \p symbol is a variable that resides in /// global or constant memory space. \p kind can be either /// ::cudaMemcpyDeviceToHost, ::cudaMemcpyDeviceToDevice, or ::cudaMemcpyDefault. /// Passing ::cudaMemcpyDefault is recommended, in which case the type of transfer /// is inferred from the pointer values. However, ::cudaMemcpyDefault is only /// allowed on systems that support unified virtual addressing. /// /// ::cudaMemcpyFromSymbolAsync() is asynchronous with respect to the host, so /// the call may return before the copy is complete. The copy can optionally be /// associated to a stream by passing a non-zero \p stream argument. If \p kind /// is ::cudaMemcpyDeviceToHost and \p stream is non-zero, the copy may overlap /// with operations in other streams. /// /// \param dst - Destination memory address /// \param symbol - Device symbol address /// \param count - Size in bytes to copy /// \param offset - Offset from start of symbol in bytes /// \param kind - Type of transfer /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidSymbol, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidMemcpyDirection /// \notefnerr /// \note_async /// \note_null_stream /// \note_string_api_deprecation /// /// \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray, /// ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray, /// ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol, /// ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync, /// ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync, /// ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync, /// ::cudaMemcpyToSymbolAsync pub fn cudaMemcpyFromSymbolAsync( dst: *mut ::libc::c_void, symbol: *const ::libc::c_void, count: usize, offset: usize, kind: cudaMemcpyKind, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Initializes or sets device memory to a value /// /// Fills the first \p count bytes of the memory area pointed to by \p devPtr /// with the constant byte value \p value. /// /// Note that this function is asynchronous with respect to the host unless /// \p devPtr refers to pinned host memory. /// /// \param devPtr - Pointer to device memory /// \param value - Value to set for each byte of specified memory /// \param count - Size in bytes to set /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer /// \notefnerr /// \note_memset /// /// \sa ::cudaMemset2D, ::cudaMemset3D, ::cudaMemsetAsync, /// ::cudaMemset2DAsync, ::cudaMemset3DAsync pub fn cudaMemset( devPtr: *mut ::libc::c_void, value: ::libc::c_int, count: usize, ) -> cudaError_t; } extern "C" { /// \brief Initializes or sets device memory to a value /// /// Sets to the specified value \p value a matrix (\p height rows of \p width /// bytes each) pointed to by \p dstPtr. \p pitch is the width in bytes of the /// 2D array pointed to by \p dstPtr, including any padding added to the end /// of each row. This function performs fastest when the pitch is one that has /// been passed back by ::cudaMallocPitch(). /// /// Note that this function is asynchronous with respect to the host unless /// \p devPtr refers to pinned host memory. /// /// \param devPtr - Pointer to 2D device memory /// \param pitch - Pitch in bytes of 2D device memory /// \param value - Value to set for each byte of specified memory /// \param width - Width of matrix set (columns in bytes) /// \param height - Height of matrix set (rows) /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer /// \notefnerr /// \note_memset /// /// \sa ::cudaMemset, ::cudaMemset3D, ::cudaMemsetAsync, /// ::cudaMemset2DAsync, ::cudaMemset3DAsync pub fn cudaMemset2D( devPtr: *mut ::libc::c_void, pitch: usize, value: ::libc::c_int, width: usize, height: usize, ) -> cudaError_t; } extern "C" { /// \brief Initializes or sets device memory to a value /// /// Initializes each element of a 3D array to the specified value \p value. /// The object to initialize is defined by \p pitchedDevPtr. The \p pitch field /// of \p pitchedDevPtr is the width in memory in bytes of the 3D array pointed /// to by \p pitchedDevPtr, including any padding added to the end of each row. /// The \p xsize field specifies the logical width of each row in bytes, while /// the \p ysize field specifies the height of each 2D slice in rows. /// /// The extents of the initialized region are specified as a \p width in bytes, /// a \p height in rows, and a \p depth in slices. /// /// Extents with \p width greater than or equal to the \p xsize of /// \p pitchedDevPtr may perform significantly faster than extents narrower /// than the \p xsize. Secondarily, extents with \p height equal to the /// \p ysize of \p pitchedDevPtr will perform faster than when the \p height is /// shorter than the \p ysize. /// /// This function performs fastest when the \p pitchedDevPtr has been allocated /// by ::cudaMalloc3D(). /// /// Note that this function is asynchronous with respect to the host unless /// \p pitchedDevPtr refers to pinned host memory. /// /// \param pitchedDevPtr - Pointer to pitched device memory /// \param value - Value to set for each byte of specified memory /// \param extent - Size parameters for where to set device memory (\p width field in bytes) /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer /// \notefnerr /// \note_memset /// /// \sa ::cudaMemset, ::cudaMemset2D, /// ::cudaMemsetAsync, ::cudaMemset2DAsync, ::cudaMemset3DAsync, /// ::cudaMalloc3D, ::make_cudaPitchedPtr, /// ::make_cudaExtent pub fn cudaMemset3D( pitchedDevPtr: cudaPitchedPtr, value: ::libc::c_int, extent: cudaExtent, ) -> cudaError_t; } extern "C" { /// \brief Initializes or sets device memory to a value /// /// Fills the first \p count bytes of the memory area pointed to by \p devPtr /// with the constant byte value \p value. /// /// ::cudaMemsetAsync() is asynchronous with respect to the host, so /// the call may return before the memset is complete. The operation can optionally /// be associated to a stream by passing a non-zero \p stream argument. /// If \p stream is non-zero, the operation may overlap with operations in other streams. /// /// The device version of this function only handles device to device copies and /// cannot be given local or shared pointers. /// /// \param devPtr - Pointer to device memory /// \param value - Value to set for each byte of specified memory /// \param count - Size in bytes to set /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer /// \notefnerr /// \note_memset /// \note_null_stream /// /// \sa ::cudaMemset, ::cudaMemset2D, ::cudaMemset3D, /// ::cudaMemset2DAsync, ::cudaMemset3DAsync pub fn cudaMemsetAsync( devPtr: *mut ::libc::c_void, value: ::libc::c_int, count: usize, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Initializes or sets device memory to a value /// /// Sets to the specified value \p value a matrix (\p height rows of \p width /// bytes each) pointed to by \p dstPtr. \p pitch is the width in bytes of the /// 2D array pointed to by \p dstPtr, including any padding added to the end /// of each row. This function performs fastest when the pitch is one that has /// been passed back by ::cudaMallocPitch(). /// /// ::cudaMemset2DAsync() is asynchronous with respect to the host, so /// the call may return before the memset is complete. The operation can optionally /// be associated to a stream by passing a non-zero \p stream argument. /// If \p stream is non-zero, the operation may overlap with operations in other streams. /// /// The device version of this function only handles device to device copies and /// cannot be given local or shared pointers. /// /// \param devPtr - Pointer to 2D device memory /// \param pitch - Pitch in bytes of 2D device memory /// \param value - Value to set for each byte of specified memory /// \param width - Width of matrix set (columns in bytes) /// \param height - Height of matrix set (rows) /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer /// \notefnerr /// \note_memset /// \note_null_stream /// /// \sa ::cudaMemset, ::cudaMemset2D, ::cudaMemset3D, /// ::cudaMemsetAsync, ::cudaMemset3DAsync pub fn cudaMemset2DAsync( devPtr: *mut ::libc::c_void, pitch: usize, value: ::libc::c_int, width: usize, height: usize, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Initializes or sets device memory to a value /// /// Initializes each element of a 3D array to the specified value \p value. /// The object to initialize is defined by \p pitchedDevPtr. The \p pitch field /// of \p pitchedDevPtr is the width in memory in bytes of the 3D array pointed /// to by \p pitchedDevPtr, including any padding added to the end of each row. /// The \p xsize field specifies the logical width of each row in bytes, while /// the \p ysize field specifies the height of each 2D slice in rows. /// /// The extents of the initialized region are specified as a \p width in bytes, /// a \p height in rows, and a \p depth in slices. /// /// Extents with \p width greater than or equal to the \p xsize of /// \p pitchedDevPtr may perform significantly faster than extents narrower /// than the \p xsize. Secondarily, extents with \p height equal to the /// \p ysize of \p pitchedDevPtr will perform faster than when the \p height is /// shorter than the \p ysize. /// /// This function performs fastest when the \p pitchedDevPtr has been allocated /// by ::cudaMalloc3D(). /// /// ::cudaMemset3DAsync() is asynchronous with respect to the host, so /// the call may return before the memset is complete. The operation can optionally /// be associated to a stream by passing a non-zero \p stream argument. /// If \p stream is non-zero, the operation may overlap with operations in other streams. /// /// The device version of this function only handles device to device copies and /// cannot be given local or shared pointers. /// /// \param pitchedDevPtr - Pointer to pitched device memory /// \param value - Value to set for each byte of specified memory /// \param extent - Size parameters for where to set device memory (\p width field in bytes) /// \param stream - Stream identifier /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer /// \notefnerr /// \note_memset /// \note_null_stream /// /// \sa ::cudaMemset, ::cudaMemset2D, ::cudaMemset3D, /// ::cudaMemsetAsync, ::cudaMemset2DAsync, /// ::cudaMalloc3D, ::make_cudaPitchedPtr, /// ::make_cudaExtent pub fn cudaMemset3DAsync( pitchedDevPtr: cudaPitchedPtr, value: ::libc::c_int, extent: cudaExtent, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Finds the address associated with a CUDA symbol /// /// Returns in \p *devPtr the address of symbol \p symbol on the device. /// \p symbol is a variable that resides in global or constant memory space. /// If \p symbol cannot be found, or if \p symbol is not declared in the /// global or constant memory space, \p *devPtr is unchanged and the error /// ::cudaErrorInvalidSymbol is returned. /// /// \param devPtr - Return device pointer associated with symbol /// \param symbol - Device symbol address /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidSymbol /// \notefnerr /// \note_string_api_deprecation /// /// \sa \ref ::cudaGetSymbolAddress(void**, const T&) "cudaGetSymbolAddress (C++ API)", /// \ref ::cudaGetSymbolSize(size_t*, const void*) "cudaGetSymbolSize (C API)" pub fn cudaGetSymbolAddress( devPtr: *mut *mut ::libc::c_void, symbol: *const ::libc::c_void, ) -> cudaError_t; } extern "C" { /// \brief Finds the size of the object associated with a CUDA symbol /// /// Returns in \p *size the size of symbol \p symbol. \p symbol is a variable that /// resides in global or constant memory space. If \p symbol cannot be found, or /// if \p symbol is not declared in global or constant memory space, \p *size is /// unchanged and the error ::cudaErrorInvalidSymbol is returned. /// /// \param size - Size of object associated with symbol /// \param symbol - Device symbol address /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidSymbol /// \notefnerr /// \note_string_api_deprecation /// /// \sa \ref ::cudaGetSymbolAddress(void**, const void*) "cudaGetSymbolAddress (C API)", /// \ref ::cudaGetSymbolSize(size_t*, const T&) "cudaGetSymbolSize (C++ API)" pub fn cudaGetSymbolSize(size: *mut usize, symbol: *const ::libc::c_void) -> cudaError_t; } extern "C" { /// \brief Prefetches memory to the specified destination device /// /// Prefetches memory to the specified destination device. \p devPtr is the /// base device pointer of the memory to be prefetched and \p dstDevice is the /// destination device. \p count specifies the number of bytes to copy. \p stream /// is the stream in which the operation is enqueued. The memory range must refer /// to managed memory allocated via ::cudaMallocManaged or declared via __managed__ variables. /// /// Passing in cudaCpuDeviceId for \p dstDevice will prefetch the data to host memory. If /// \p dstDevice is a GPU, then the device attribute ::cudaDevAttrConcurrentManagedAccess /// must be non-zero. Additionally, \p stream must be associated with a device that has a /// non-zero value for the device attribute ::cudaDevAttrConcurrentManagedAccess. /// /// The start address and end address of the memory range will be rounded down and rounded up /// respectively to be aligned to CPU page size before the prefetch operation is enqueued /// in the stream. /// /// If no physical memory has been allocated for this region, then this memory region /// will be populated and mapped on the destination device. If there's insufficient /// memory to prefetch the desired region, the Unified Memory driver may evict pages from other /// ::cudaMallocManaged allocations to host memory in order to make room. Device memory /// allocated using ::cudaMalloc or ::cudaMallocArray will not be evicted. /// /// By default, any mappings to the previous location of the migrated pages are removed and /// mappings for the new location are only setup on \p dstDevice. The exact behavior however /// also depends on the settings applied to this memory range via ::cudaMemAdvise as described /// below: /// /// If ::cudaMemAdviseSetReadMostly was set on any subset of this memory range, /// then that subset will create a read-only copy of the pages on \p dstDevice. /// /// If ::cudaMemAdviseSetPreferredLocation was called on any subset of this memory /// range, then the pages will be migrated to \p dstDevice even if \p dstDevice is not the /// preferred location of any pages in the memory range. /// /// If ::cudaMemAdviseSetAccessedBy was called on any subset of this memory range, /// then mappings to those pages from all the appropriate processors are updated to /// refer to the new location if establishing such a mapping is possible. Otherwise, /// those mappings are cleared. /// /// Note that this API is not required for functionality and only serves to improve performance /// by allowing the application to migrate data to a suitable location before it is accessed. /// Memory accesses to this range are always coherent and are allowed even when the data is /// actively being migrated. /// /// Note that this function is asynchronous with respect to the host and all work /// on other devices. /// /// \param devPtr - Pointer to be prefetched /// \param count - Size in bytes /// \param dstDevice - Destination device to prefetch to /// \param stream - Stream to enqueue prefetch operation /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync, /// ::cudaMemcpy3DPeerAsync, ::cudaMemAdvise pub fn cudaMemPrefetchAsync( devPtr: *const ::libc::c_void, count: usize, dstDevice: ::libc::c_int, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Advise about the usage of a given memory range /// /// Advise the Unified Memory subsystem about the usage pattern for the memory range /// starting at \p devPtr with a size of \p count bytes. The start address and end address of the memory /// range will be rounded down and rounded up respectively to be aligned to CPU page size before the /// advice is applied. The memory range must refer to managed memory allocated via ::cudaMallocManaged /// or declared via __managed__ variables. /// /// The \p advice parameter can take the following values: /// - ::cudaMemAdviseSetReadMostly: This implies that the data is mostly going to be read /// from and only occasionally written to. Any read accesses from any processor to this region will create a /// read-only copy of at least the accessed pages in that processor's memory. Additionally, if ::cudaMemPrefetchAsync /// is called on this region, it will create a read-only copy of the data on the destination processor. /// If any processor writes to this region, all copies of the corresponding page will be invalidated /// except for the one where the write occurred. The \p device argument is ignored for this advice. /// Note that for a page to be read-duplicated, the accessing processor must either be the CPU or a GPU /// that has a non-zero value for the device attribute ::cudaDevAttrConcurrentManagedAccess. /// Also, if a context is created on a device that does not have the device attribute /// ::cudaDevAttrConcurrentManagedAccess set, then read-duplication will not occur until /// all such contexts are destroyed. /// - ::cudaMemAdviceUnsetReadMostly: Undoes the effect of ::cudaMemAdviceReadMostly and also prevents the /// Unified Memory driver from attempting heuristic read-duplication on the memory range. Any read-duplicated /// copies of the data will be collapsed into a single copy. The location for the collapsed /// copy will be the preferred location if the page has a preferred location and one of the read-duplicated /// copies was resident at that location. Otherwise, the location chosen is arbitrary. /// - ::cudaMemAdviseSetPreferredLocation: This advice sets the preferred location for the /// data to be the memory belonging to \p device. Passing in cudaCpuDeviceId for \p device sets the /// preferred location as host memory. If \p device is a GPU, then it must have a non-zero value for the /// device attribute ::cudaDevAttrConcurrentManagedAccess. Setting the preferred location /// does not cause data to migrate to that location immediately. Instead, it guides the migration policy /// when a fault occurs on that memory region. If the data is already in its preferred location and the /// faulting processor can establish a mapping without requiring the data to be migrated, then /// data migration will be avoided. On the other hand, if the data is not in its preferred location /// or if a direct mapping cannot be established, then it will be migrated to the processor accessing /// it. It is important to note that setting the preferred location does not prevent data prefetching /// done using ::cudaMemPrefetchAsync. /// Having a preferred location can override the page thrash detection and resolution logic in the Unified /// Memory driver. Normally, if a page is detected to be constantly thrashing between for example host and device /// memory, the page may eventually be pinned to host memory by the Unified Memory driver. But /// if the preferred location is set as device memory, then the page will continue to thrash indefinitely. /// If ::cudaMemAdviseSetReadMostly is also set on this memory region or any subset of it, then the /// policies associated with that advice will override the policies of this advice. /// - ::cudaMemAdviseUnsetPreferredLocation: Undoes the effect of ::cudaMemAdviseSetPreferredLocation /// and changes the preferred location to none. /// - ::cudaMemAdviseSetAccessedBy: This advice implies that the data will be accessed by \p device. /// Passing in ::cudaCpuDeviceId for \p device will set the advice for the CPU. If \p device is a GPU, then /// the device attribute ::cudaDevAttrConcurrentManagedAccess must be non-zero. /// This advice does not cause data migration and has no impact on the location of the data per se. Instead, /// it causes the data to always be mapped in the specified processor's page tables, as long as the /// location of the data permits a mapping to be established. If the data gets migrated for any reason, /// the mappings are updated accordingly. /// This advice is recommended in scenarios where data locality is not important, but avoiding faults is. /// Consider for example a system containing multiple GPUs with peer-to-peer access enabled, where the /// data located on one GPU is occasionally accessed by peer GPUs. In such scenarios, migrating data /// over to the other GPUs is not as important because the accesses are infrequent and the overhead of /// migration may be too high. But preventing faults can still help improve performance, and so having /// a mapping set up in advance is useful. Note that on CPU access of this data, the data may be migrated /// to host memory because the CPU typically cannot access device memory directly. Any GPU that had the /// ::cudaMemAdviceSetAccessedBy flag set for this data will now have its mapping updated to point to the /// page in host memory. /// If ::cudaMemAdviseSetReadMostly is also set on this memory region or any subset of it, then the /// policies associated with that advice will override the policies of this advice. Additionally, if the /// preferred location of this memory region or any subset of it is also \p device, then the policies /// associated with ::cudaMemAdviseSetPreferredLocation will override the policies of this advice. /// - ::cudaMemAdviseUnsetAccessedBy: Undoes the effect of ::cudaMemAdviseSetAccessedBy. Any mappings to /// the data from \p device may be removed at any time causing accesses to result in non-fatal page faults. /// /// \param devPtr - Pointer to memory to set the advice for /// \param count - Size in bytes of the memory range /// \param advice - Advice to be applied for the specified memory range /// \param device - Device to apply the advice for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevice /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync, /// ::cudaMemcpy3DPeerAsync, ::cudaMemPrefetchAsync pub fn cudaMemAdvise( devPtr: *const ::libc::c_void, count: usize, advice: cudaMemoryAdvise, device: ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Query an attribute of a given memory range /// /// Query an attribute about the memory range starting at \p devPtr with a size of \p count bytes. The /// memory range must refer to managed memory allocated via ::cudaMallocManaged or declared via /// __managed__ variables. /// /// The \p attribute parameter can take the following values: /// - ::cudaMemRangeAttributeReadMostly: If this attribute is specified, \p data will be interpreted /// as a 32-bit integer, and \p dataSize must be 4. The result returned will be 1 if all pages in the given /// memory range have read-duplication enabled, or 0 otherwise. /// - ::cudaMemRangeAttributePreferredLocation: If this attribute is specified, \p data will be /// interpreted as a 32-bit integer, and \p dataSize must be 4. The result returned will be a GPU device /// id if all pages in the memory range have that GPU as their preferred location, or it will be cudaCpuDeviceId /// if all pages in the memory range have the CPU as their preferred location, or it will be cudaInvalidDeviceId /// if either all the pages don't have the same preferred location or some of the pages don't have a /// preferred location at all. Note that the actual location of the pages in the memory range at the time of /// the query may be different from the preferred location. /// - ::cudaMemRangeAttributeAccessedBy: If this attribute is specified, \p data will be interpreted /// as an array of 32-bit integers, and \p dataSize must be a non-zero multiple of 4. The result returned /// will be a list of device ids that had ::cudaMemAdviceSetAccessedBy set for that entire memory range. /// If any device does not have that advice set for the entire memory range, that device will not be included. /// If \p data is larger than the number of devices that have that advice set for that memory range, /// cudaInvalidDeviceId will be returned in all the extra space provided. For ex., if \p dataSize is 12 /// (i.e. \p data has 3 elements) and only device 0 has the advice set, then the result returned will be /// { 0, cudaInvalidDeviceId, cudaInvalidDeviceId }. If \p data is smaller than the number of devices that have /// that advice set, then only as many devices will be returned as can fit in the array. There is no /// guarantee on which specific devices will be returned, however. /// - ::cudaMemRangeAttributeLastPrefetchLocation: If this attribute is specified, \p data will be /// interpreted as a 32-bit integer, and \p dataSize must be 4. The result returned will be the last location /// to which all pages in the memory range were prefetched explicitly via ::cudaMemPrefetchAsync. This will either be /// a GPU id or cudaCpuDeviceId depending on whether the last location for prefetch was a GPU or the CPU /// respectively. If any page in the memory range was never explicitly prefetched or if all pages were not /// prefetched to the same location, cudaInvalidDeviceId will be returned. Note that this simply returns the /// last location that the applicaton requested to prefetch the memory range to. It gives no indication as to /// whether the prefetch operation to that location has completed or even begun. /// /// \param data - A pointers to a memory location where the result /// of each attribute query will be written to. /// \param dataSize - Array containing the size of data /// \param attribute - The attribute to query /// \param devPtr - Start of the range to query /// \param count - Size of the range to query /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// \note_async /// \note_null_stream /// /// \sa ::cudaMemRangeGetAttributes, ::cudaMemPrefetchAsync, /// ::cudaMemAdvise pub fn cudaMemRangeGetAttribute( data: *mut ::libc::c_void, dataSize: usize, attribute: cudaMemRangeAttribute, devPtr: *const ::libc::c_void, count: usize, ) -> cudaError_t; } extern "C" { /// \brief Query attributes of a given memory range. /// /// Query attributes of the memory range starting at \p devPtr with a size of \p count bytes. The /// memory range must refer to managed memory allocated via ::cudaMallocManaged or declared via /// __managed__ variables. The \p attributes array will be interpreted to have \p numAttributes /// entries. The \p dataSizes array will also be interpreted to have \p numAttributes entries. /// The results of the query will be stored in \p data. /// /// The list of supported attributes are given below. Please refer to ::cudaMemRangeGetAttribute for /// attribute descriptions and restrictions. /// /// - ::cudaMemRangeAttributeReadMostly /// - ::cudaMemRangeAttributePreferredLocation /// - ::cudaMemRangeAttributeAccessedBy /// - ::cudaMemRangeAttributeLastPrefetchLocation /// /// \param data - A two-dimensional array containing pointers to memory /// locations where the result of each attribute query will be written to. /// \param dataSizes - Array containing the sizes of each result /// \param attributes - An array of attributes to query /// (numAttributes and the number of attributes in this array should match) /// \param numAttributes - Number of attributes to query /// \param devPtr - Start of the range to query /// \param count - Size of the range to query /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaMemRangeGetAttribute, ::cudaMemAdvise /// ::cudaMemPrefetchAsync pub fn cudaMemRangeGetAttributes( data: *mut *mut ::libc::c_void, dataSizes: *mut usize, attributes: *mut cudaMemRangeAttribute, numAttributes: usize, devPtr: *const ::libc::c_void, count: usize, ) -> cudaError_t; } extern "C" { /// \brief Returns attributes about a specified pointer /// /// Returns in \p *attributes the attributes of the pointer \p ptr. /// If pointer was not allocated in, mapped by or registered with context /// supporting unified addressing ::cudaErrorInvalidValue is returned. /// /// The ::cudaPointerAttributes structure is defined as: /// \code /// struct cudaPointerAttributes { /// enum cudaMemoryType memoryType; /// int device; /// void *devicePointer; /// void *hostPointer; /// int isManaged; /// } /// \endcode /// In this structure, the individual fields mean /// /// - \ref ::cudaPointerAttributes::memoryType "memoryType" identifies the physical /// location of the memory associated with pointer \p ptr. It can be /// ::cudaMemoryTypeHost for host memory or ::cudaMemoryTypeDevice for device /// memory. /// /// - \ref ::cudaPointerAttributes::device "device" is the device against which /// \p ptr was allocated. If \p ptr has memory type ::cudaMemoryTypeDevice /// then this identifies the device on which the memory referred to by \p ptr /// physically resides. If \p ptr has memory type ::cudaMemoryTypeHost then this /// identifies the device which was current when the allocation was made /// (and if that device is deinitialized then this allocation will vanish /// with that device's state). /// /// - \ref ::cudaPointerAttributes::devicePointer "devicePointer" is /// the device pointer alias through which the memory referred to by \p ptr /// may be accessed on the current device. /// If the memory referred to by \p ptr cannot be accessed directly by the /// current device then this is NULL. /// /// - \ref ::cudaPointerAttributes::hostPointer "hostPointer" is /// the host pointer alias through which the memory referred to by \p ptr /// may be accessed on the host. /// If the memory referred to by \p ptr cannot be accessed directly by the /// host then this is NULL. /// /// - \ref ::cudaPointerAttributes::isManaged "isManaged" indicates if /// the pointer \p ptr points to managed memory or not. /// /// \param attributes - Attributes for the specified pointer /// \param ptr - Pointer to get attributes for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice, /// ::cudaErrorInvalidValue /// /// \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice, /// ::cudaChooseDevice pub fn cudaPointerGetAttributes( attributes: *mut cudaPointerAttributes, ptr: *const ::libc::c_void, ) -> cudaError_t; } extern "C" { /// \brief Queries if a device may directly access a peer device's memory. /// /// Returns in \p *canAccessPeer a value of 1 if device \p device is capable of /// directly accessing memory from \p peerDevice and 0 otherwise. If direct /// access of \p peerDevice from \p device is possible, then access may be /// enabled by calling ::cudaDeviceEnablePeerAccess(). /// /// \param canAccessPeer - Returned access capability /// \param device - Device from which allocations on \p peerDevice are to /// be directly accessed. /// \param peerDevice - Device on which the allocations to be directly accessed /// by \p device reside. /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice /// \notefnerr /// /// \sa ::cudaDeviceEnablePeerAccess, /// ::cudaDeviceDisablePeerAccess pub fn cudaDeviceCanAccessPeer( canAccessPeer: *mut ::libc::c_int, device: ::libc::c_int, peerDevice: ::libc::c_int, ) -> cudaError_t; } extern "C" { /// \brief Enables direct access to memory allocations on a peer device. /// /// On success, all allocations from \p peerDevice will immediately be accessible by /// the current device. They will remain accessible until access is explicitly /// disabled using ::cudaDeviceDisablePeerAccess() or either device is reset using /// ::cudaDeviceReset(). /// /// Note that access granted by this call is unidirectional and that in order to access /// memory on the current device from \p peerDevice, a separate symmetric call /// to ::cudaDeviceEnablePeerAccess() is required. /// /// Each device can support a system-wide maximum of eight peer connections. /// /// Peer access is not supported in 32 bit applications. /// /// Returns ::cudaErrorInvalidDevice if ::cudaDeviceCanAccessPeer() indicates /// that the current device cannot directly access memory from \p peerDevice. /// /// Returns ::cudaErrorPeerAccessAlreadyEnabled if direct access of /// \p peerDevice from the current device has already been enabled. /// /// Returns ::cudaErrorInvalidValue if \p flags is not 0. /// /// \param peerDevice - Peer device to enable direct access to from the current device /// \param flags - Reserved for future use and must be set to 0 /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidDevice, /// ::cudaErrorPeerAccessAlreadyEnabled, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaDeviceCanAccessPeer, /// ::cudaDeviceDisablePeerAccess pub fn cudaDeviceEnablePeerAccess( peerDevice: ::libc::c_int, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Disables direct access to memory allocations on a peer device. /// /// Returns ::cudaErrorPeerAccessNotEnabled if direct access to memory on /// \p peerDevice has not yet been enabled from the current device. /// /// \param peerDevice - Peer device to disable direct access to /// /// \return /// ::cudaSuccess, /// ::cudaErrorPeerAccessNotEnabled, /// ::cudaErrorInvalidDevice /// \notefnerr /// /// \sa ::cudaDeviceCanAccessPeer, /// ::cudaDeviceEnablePeerAccess pub fn cudaDeviceDisablePeerAccess(peerDevice: ::libc::c_int) -> cudaError_t; } extern "C" { /// \brief Unregisters a graphics resource for access by CUDA /// /// Unregisters the graphics resource \p resource so it is not accessible by /// CUDA unless registered again. /// /// If \p resource is invalid then ::cudaErrorInvalidResourceHandle is /// returned. /// /// \param resource - Resource to unregister /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorUnknown /// \notefnerr /// /// \sa /// ::cudaGraphicsD3D9RegisterResource, /// ::cudaGraphicsD3D10RegisterResource, /// ::cudaGraphicsD3D11RegisterResource, /// ::cudaGraphicsGLRegisterBuffer, /// ::cudaGraphicsGLRegisterImage pub fn cudaGraphicsUnregisterResource(resource: cudaGraphicsResource_t) -> cudaError_t; } extern "C" { /// \brief Set usage flags for mapping a graphics resource /// /// Set \p flags for mapping the graphics resource \p resource. /// /// Changes to \p flags will take effect the next time \p resource is mapped. /// The \p flags argument may be any of the following: /// - ::cudaGraphicsMapFlagsNone: Specifies no hints about how \p resource will /// be used. It is therefore assumed that CUDA may read from or write to \p resource. /// - ::cudaGraphicsMapFlagsReadOnly: Specifies that CUDA will not write to \p resource. /// - ::cudaGraphicsMapFlagsWriteDiscard: Specifies CUDA will not read from \p resource and will /// write over the entire contents of \p resource, so none of the data /// previously stored in \p resource will be preserved. /// /// If \p resource is presently mapped for access by CUDA then ::cudaErrorUnknown is returned. /// If \p flags is not one of the above values then ::cudaErrorInvalidValue is returned. /// /// \param resource - Registered resource to set flags for /// \param flags - Parameters for resource mapping /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorUnknown, /// \notefnerr /// /// \sa /// ::cudaGraphicsMapResources pub fn cudaGraphicsResourceSetMapFlags( resource: cudaGraphicsResource_t, flags: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Map graphics resources for access by CUDA /// /// Maps the \p count graphics resources in \p resources for access by CUDA. /// /// The resources in \p resources may be accessed by CUDA until they /// are unmapped. The graphics API from which \p resources were registered /// should not access any resources while they are mapped by CUDA. If an /// application does so, the results are undefined. /// /// This function provides the synchronization guarantee that any graphics calls /// issued before ::cudaGraphicsMapResources() will complete before any subsequent CUDA /// work issued in \p stream begins. /// /// If \p resources contains any duplicate entries then ::cudaErrorInvalidResourceHandle /// is returned. If any of \p resources are presently mapped for access by /// CUDA then ::cudaErrorUnknown is returned. /// /// \param count - Number of resources to map /// \param resources - Resources to map for CUDA /// \param stream - Stream for synchronization /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorUnknown /// \note_null_stream /// \notefnerr /// /// \sa /// ::cudaGraphicsResourceGetMappedPointer, /// ::cudaGraphicsSubResourceGetMappedArray, /// ::cudaGraphicsUnmapResources pub fn cudaGraphicsMapResources( count: ::libc::c_int, resources: *mut cudaGraphicsResource_t, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Unmap graphics resources. /// /// Unmaps the \p count graphics resources in \p resources. /// /// Once unmapped, the resources in \p resources may not be accessed by CUDA /// until they are mapped again. /// /// This function provides the synchronization guarantee that any CUDA work issued /// in \p stream before ::cudaGraphicsUnmapResources() will complete before any /// subsequently issued graphics work begins. /// /// If \p resources contains any duplicate entries then ::cudaErrorInvalidResourceHandle /// is returned. If any of \p resources are not presently mapped for access by /// CUDA then ::cudaErrorUnknown is returned. /// /// \param count - Number of resources to unmap /// \param resources - Resources to unmap /// \param stream - Stream for synchronization /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorUnknown /// \note_null_stream /// \notefnerr /// /// \sa /// ::cudaGraphicsMapResources pub fn cudaGraphicsUnmapResources( count: ::libc::c_int, resources: *mut cudaGraphicsResource_t, stream: cudaStream_t, ) -> cudaError_t; } extern "C" { /// \brief Get an device pointer through which to access a mapped graphics resource. /// /// Returns in \p *devPtr a pointer through which the mapped graphics resource /// \p resource may be accessed. /// Returns in \p *size the size of the memory in bytes which may be accessed from that pointer. /// The value set in \p devPtr may change every time that \p resource is mapped. /// /// If \p resource is not a buffer then it cannot be accessed via a pointer and /// ::cudaErrorUnknown is returned. /// If \p resource is not mapped then ::cudaErrorUnknown is returned. /// * /// \param devPtr - Returned pointer through which \p resource may be accessed /// \param size - Returned size of the buffer accessible starting at \p *devPtr /// \param resource - Mapped resource to access /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorUnknown /// \notefnerr /// /// \sa /// ::cudaGraphicsMapResources, /// ::cudaGraphicsSubResourceGetMappedArray pub fn cudaGraphicsResourceGetMappedPointer( devPtr: *mut *mut ::libc::c_void, size: *mut usize, resource: cudaGraphicsResource_t, ) -> cudaError_t; } extern "C" { /// \brief Get an array through which to access a subresource of a mapped graphics resource. /// /// Returns in \p *array an array through which the subresource of the mapped /// graphics resource \p resource which corresponds to array index \p arrayIndex /// and mipmap level \p mipLevel may be accessed. The value set in \p array may /// change every time that \p resource is mapped. /// /// If \p resource is not a texture then it cannot be accessed via an array and /// ::cudaErrorUnknown is returned. /// If \p arrayIndex is not a valid array index for \p resource then /// ::cudaErrorInvalidValue is returned. /// If \p mipLevel is not a valid mipmap level for \p resource then /// ::cudaErrorInvalidValue is returned. /// If \p resource is not mapped then ::cudaErrorUnknown is returned. /// /// \param array - Returned array through which a subresource of \p resource may be accessed /// \param resource - Mapped resource to access /// \param arrayIndex - Array index for array textures or cubemap face /// index as defined by ::cudaGraphicsCubeFace for /// cubemap textures for the subresource to access /// \param mipLevel - Mipmap level for the subresource to access /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorUnknown /// \notefnerr /// /// \sa ::cudaGraphicsResourceGetMappedPointer pub fn cudaGraphicsSubResourceGetMappedArray( array: *mut cudaArray_t, resource: cudaGraphicsResource_t, arrayIndex: ::libc::c_uint, mipLevel: ::libc::c_uint, ) -> cudaError_t; } extern "C" { /// \brief Get a mipmapped array through which to access a mapped graphics resource. /// /// Returns in \p *mipmappedArray a mipmapped array through which the mapped /// graphics resource \p resource may be accessed. The value set in \p mipmappedArray may /// change every time that \p resource is mapped. /// /// If \p resource is not a texture then it cannot be accessed via an array and /// ::cudaErrorUnknown is returned. /// If \p resource is not mapped then ::cudaErrorUnknown is returned. /// /// \param mipmappedArray - Returned mipmapped array through which \p resource may be accessed /// \param resource - Mapped resource to access /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidResourceHandle, /// ::cudaErrorUnknown /// \notefnerr /// /// \sa ::cudaGraphicsResourceGetMappedPointer pub fn cudaGraphicsResourceGetMappedMipmappedArray( mipmappedArray: *mut cudaMipmappedArray_t, resource: cudaGraphicsResource_t, ) -> cudaError_t; } extern "C" { /// \brief Get the channel descriptor of an array /// /// Returns in \p *desc the channel descriptor of the CUDA array \p array. /// /// \param desc - Channel format /// \param array - Memory array on device /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)" pub fn cudaGetChannelDesc( desc: *mut cudaChannelFormatDesc, array: cudaArray_const_t, ) -> cudaError_t; } extern "C" { /// \brief Returns a channel descriptor using the specified format /// /// Returns a channel descriptor with format \p f and number of bits of each /// component \p x, \p y, \p z, and \p w. The ::cudaChannelFormatDesc is /// defined as: /// \code /// struct cudaChannelFormatDesc { /// int x, y, z, w; /// enum cudaChannelFormatKind f; /// }; /// \endcode /// /// where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned, /// ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat. /// /// \param x - X component /// \param y - Y component /// \param z - Z component /// \param w - W component /// \param f - Channel format /// /// \return /// Channel descriptor with format \p f /// /// \sa \ref ::cudaCreateChannelDesc(void) "cudaCreateChannelDesc (C++ API)", /// ::cudaGetChannelDesc, ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)" pub fn cudaCreateChannelDesc( x: ::libc::c_int, y: ::libc::c_int, z: ::libc::c_int, w: ::libc::c_int, f: cudaChannelFormatKind, ) -> cudaChannelFormatDesc; } extern "C" { /// \brief Binds a memory area to a texture /// /// Binds \p size bytes of the memory area pointed to by \p devPtr to the /// texture reference \p texref. \p desc describes how the memory is interpreted /// when fetching values from the texture. Any memory previously bound to /// \p texref is unbound. /// /// Since the hardware enforces an alignment requirement on texture base /// addresses, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture()" /// returns in \p *offset a byte offset that /// must be applied to texture fetches in order to read from the desired memory. /// This offset must be divided by the texel size and passed to kernels that /// read from the texture so they can be applied to the ::tex1Dfetch() function. /// If the device memory pointer was returned from ::cudaMalloc(), the offset is /// guaranteed to be 0 and NULL may be passed as the \p offset parameter. /// /// The total number of elements (or texels) in the linear address range /// cannot exceed ::cudaDeviceProp::maxTexture1DLinear[0]. /// The number of elements is computed as (\p size / elementSize), /// where elementSize is determined from \p desc. /// /// \param offset - Offset in bytes /// \param texref - Texture to bind /// \param devPtr - Memory area on device /// \param desc - Channel format /// \param size - Size of the memory area pointed to by devPtr /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidTexture /// \notefnerr /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetChannelDesc, ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct texture< T, dim, readMode>&, const void*, const struct cudaChannelFormatDesc&, size_t) "cudaBindTexture (C++ API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)" pub fn cudaBindTexture( offset: *mut usize, texref: *const textureReference, devPtr: *const ::libc::c_void, desc: *const cudaChannelFormatDesc, size: usize, ) -> cudaError_t; } extern "C" { /// \brief Binds a 2D memory area to a texture /// /// Binds the 2D memory area pointed to by \p devPtr to the /// texture reference \p texref. The size of the area is constrained by /// \p width in texel units, \p height in texel units, and \p pitch in byte /// units. \p desc describes how the memory is interpreted when fetching values /// from the texture. Any memory previously bound to \p texref is unbound. /// /// Since the hardware enforces an alignment requirement on texture base /// addresses, ::cudaBindTexture2D() returns in \p *offset a byte offset that /// must be applied to texture fetches in order to read from the desired memory. /// This offset must be divided by the texel size and passed to kernels that /// read from the texture so they can be applied to the ::tex2D() function. /// If the device memory pointer was returned from ::cudaMalloc(), the offset is /// guaranteed to be 0 and NULL may be passed as the \p offset parameter. /// /// \p width and \p height, which are specified in elements (or texels), cannot /// exceed ::cudaDeviceProp::maxTexture2DLinear[0] and ::cudaDeviceProp::maxTexture2DLinear[1] /// respectively. \p pitch, which is specified in bytes, cannot exceed /// ::cudaDeviceProp::maxTexture2DLinear[2]. /// /// The driver returns ::cudaErrorInvalidValue if \p pitch is not a multiple of /// ::cudaDeviceProp::texturePitchAlignment. /// /// \param offset - Offset in bytes /// \param texref - Texture reference to bind /// \param devPtr - 2D memory area on device /// \param desc - Channel format /// \param width - Width in texel units /// \param height - Height in texel units /// \param pitch - Pitch in bytes /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidTexture /// \notefnerr /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetChannelDesc, ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct texture< T, dim, readMode>&, const void*, const struct cudaChannelFormatDesc&, size_t, size_t, size_t) "cudaBindTexture2D (C++ API)", /// \ref ::cudaBindTexture2D(size_t*, const struct texture<T, dim, readMode>&, const void*, size_t, size_t, size_t) "cudaBindTexture2D (C++ API, inherited channel descriptor)", /// \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaBindTextureToArray (C API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)" pub fn cudaBindTexture2D( offset: *mut usize, texref: *const textureReference, devPtr: *const ::libc::c_void, desc: *const cudaChannelFormatDesc, width: usize, height: usize, pitch: usize, ) -> cudaError_t; } extern "C" { /// \brief Binds an array to a texture /// /// Binds the CUDA array \p array to the texture reference \p texref. /// \p desc describes how the memory is interpreted when fetching values from /// the texture. Any CUDA array previously bound to \p texref is unbound. /// /// \param texref - Texture to bind /// \param array - Memory array on device /// \param desc - Channel format /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidTexture /// \notefnerr /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetChannelDesc, ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct texture< T, dim, readMode>&, cudaArray_const_t, const struct cudaChannelFormatDesc&) "cudaBindTextureToArray (C++ API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)" pub fn cudaBindTextureToArray( texref: *const textureReference, array: cudaArray_const_t, desc: *const cudaChannelFormatDesc, ) -> cudaError_t; } extern "C" { /// \brief Binds a mipmapped array to a texture /// /// Binds the CUDA mipmapped array \p mipmappedArray to the texture reference \p texref. /// \p desc describes how the memory is interpreted when fetching values from /// the texture. Any CUDA mipmapped array previously bound to \p texref is unbound. /// /// \param texref - Texture to bind /// \param mipmappedArray - Memory mipmapped array on device /// \param desc - Channel format /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidDevicePointer, /// ::cudaErrorInvalidTexture /// \notefnerr /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetChannelDesc, ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct texture< T, dim, readMode>&, cudaArray_const_t, const struct cudaChannelFormatDesc&) "cudaBindTextureToArray (C++ API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)" pub fn cudaBindTextureToMipmappedArray( texref: *const textureReference, mipmappedArray: cudaMipmappedArray_const_t, desc: *const cudaChannelFormatDesc, ) -> cudaError_t; } extern "C" { /// \brief Unbinds a texture /// /// Unbinds the texture bound to \p texref. /// /// \param texref - Texture to unbind /// /// \return /// ::cudaSuccess /// \notefnerr /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetChannelDesc, ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)", /// \ref ::cudaUnbindTexture(const struct texture< T, dim, readMode>&) "cudaUnbindTexture (C++ API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)" pub fn cudaUnbindTexture(texref: *const textureReference) -> cudaError_t; } extern "C" { /// \brief Get the alignment offset of a texture /// /// Returns in \p *offset the offset that was returned when texture reference /// \p texref was bound. /// /// \param offset - Offset of texture reference in bytes /// \param texref - Texture to get offset of /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidTexture, /// ::cudaErrorInvalidTextureBinding /// \notefnerr /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetChannelDesc, ::cudaGetTextureReference, /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)", /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct texture< T, dim, readMode>&) "cudaGetTextureAlignmentOffset (C++ API)" pub fn cudaGetTextureAlignmentOffset( offset: *mut usize, texref: *const textureReference, ) -> cudaError_t; } extern "C" { /// \brief Get the texture reference associated with a symbol /// /// Returns in \p *texref the structure associated to the texture reference /// defined by symbol \p symbol. /// /// \param texref - Texture reference associated with symbol /// \param symbol - Texture to get reference for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidTexture /// \notefnerr /// \note_string_api_deprecation_50 /// /// \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)", /// ::cudaGetChannelDesc, /// \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)", /// \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)", /// \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)", /// \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)", /// \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)" pub fn cudaGetTextureReference( texref: *mut *const textureReference, symbol: *const ::libc::c_void, ) -> cudaError_t; } extern "C" { /// \brief Binds an array to a surface /// /// Binds the CUDA array \p array to the surface reference \p surfref. /// \p desc describes how the memory is interpreted when fetching values from /// the surface. Any CUDA array previously bound to \p surfref is unbound. /// /// \param surfref - Surface to bind /// \param array - Memory array on device /// \param desc - Channel format /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue, /// ::cudaErrorInvalidSurface /// \notefnerr /// /// \sa \ref ::cudaBindSurfaceToArray(const struct surface< T, dim>&, cudaArray_const_t, const struct cudaChannelFormatDesc&) "cudaBindSurfaceToArray (C++ API)", /// \ref ::cudaBindSurfaceToArray(const struct surface< T, dim>&, cudaArray_const_t) "cudaBindSurfaceToArray (C++ API, inherited channel descriptor)", /// ::cudaGetSurfaceReference pub fn cudaBindSurfaceToArray( surfref: *const surfaceReference, array: cudaArray_const_t, desc: *const cudaChannelFormatDesc, ) -> cudaError_t; } extern "C" { /// \brief Get the surface reference associated with a symbol /// /// Returns in \p *surfref the structure associated to the surface reference /// defined by symbol \p symbol. /// /// \param surfref - Surface reference associated with symbol /// \param symbol - Surface to get reference for /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidSurface /// \notefnerr /// \note_string_api_deprecation_50 /// /// \sa \ref ::cudaBindSurfaceToArray(const struct surfaceReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindSurfaceToArray (C API)" pub fn cudaGetSurfaceReference( surfref: *mut *const surfaceReference, symbol: *const ::libc::c_void, ) -> cudaError_t; } extern "C" { /// \brief Creates a texture object /// /// Creates a texture object and returns it in \p pTexObject. \p pResDesc describes /// the data to texture from. \p pTexDesc describes how the data should be sampled. /// \p pResViewDesc is an optional argument that specifies an alternate format for /// the data described by \p pResDesc, and also describes the subresource region /// to restrict access to when texturing. \p pResViewDesc can only be specified if /// the type of resource is a CUDA array or a CUDA mipmapped array. /// /// Texture objects are only supported on devices of compute capability 3.0 or higher. /// Additionally, a texture object is an opaque value, and, as such, should only be /// accessed through CUDA API calls. /// /// The ::cudaResourceDesc structure is defined as: /// \code /// struct cudaResourceDesc { /// enum cudaResourceType resType; /// /// union { /// struct { /// cudaArray_t array; /// } array; /// struct { /// cudaMipmappedArray_t mipmap; /// } mipmap; /// struct { /// void *devPtr; /// struct cudaChannelFormatDesc desc; /// size_t sizeInBytes; /// } linear; /// struct { /// void *devPtr; /// struct cudaChannelFormatDesc desc; /// size_t width; /// size_t height; /// size_t pitchInBytes; /// } pitch2D; /// } res; /// }; /// \endcode /// where: /// - ::cudaResourceDesc::resType specifies the type of resource to texture from. /// CUresourceType is defined as: /// \code /// enum cudaResourceType { /// cudaResourceTypeArray = 0x00, /// cudaResourceTypeMipmappedArray = 0x01, /// cudaResourceTypeLinear = 0x02, /// cudaResourceTypePitch2D = 0x03 /// }; /// \endcode /// /// \par /// If ::cudaResourceDesc::resType is set to ::cudaResourceTypeArray, ::cudaResourceDesc::res::array::array /// must be set to a valid CUDA array handle. /// /// \par /// If ::cudaResourceDesc::resType is set to ::cudaResourceTypeMipmappedArray, ::cudaResourceDesc::res::mipmap::mipmap /// must be set to a valid CUDA mipmapped array handle and ::cudaTextureDesc::normalizedCoords must be set to true. /// /// \par /// If ::cudaResourceDesc::resType is set to ::cudaResourceTypeLinear, ::cudaResourceDesc::res::linear::devPtr /// must be set to a valid device pointer, that is aligned to ::cudaDeviceProp::textureAlignment. /// ::cudaResourceDesc::res::linear::desc describes the format and the number of components per array element. ::cudaResourceDesc::res::linear::sizeInBytes /// specifies the size of the array in bytes. The total number of elements in the linear address range cannot exceed /// ::cudaDeviceProp::maxTexture1DLinear. The number of elements is computed as (sizeInBytes / sizeof(desc)). /// /// \par /// If ::cudaResourceDesc::resType is set to ::cudaResourceTypePitch2D, ::cudaResourceDesc::res::pitch2D::devPtr /// must be set to a valid device pointer, that is aligned to ::cudaDeviceProp::textureAlignment. /// ::cudaResourceDesc::res::pitch2D::desc describes the format and the number of components per array element. ::cudaResourceDesc::res::pitch2D::width /// and ::cudaResourceDesc::res::pitch2D::height specify the width and height of the array in elements, and cannot exceed /// ::cudaDeviceProp::maxTexture2DLinear[0] and ::cudaDeviceProp::maxTexture2DLinear[1] respectively. /// ::cudaResourceDesc::res::pitch2D::pitchInBytes specifies the pitch between two rows in bytes and has to be aligned to /// ::cudaDeviceProp::texturePitchAlignment. Pitch cannot exceed ::cudaDeviceProp::maxTexture2DLinear[2]. /// /// /// The ::cudaTextureDesc struct is defined as /// \code /// struct cudaTextureDesc { /// enum cudaTextureAddressMode addressMode[3]; /// enum cudaTextureFilterMode filterMode; /// enum cudaTextureReadMode readMode; /// int sRGB; /// float borderColor[4]; /// int normalizedCoords; /// unsigned int maxAnisotropy; /// enum cudaTextureFilterMode mipmapFilterMode; /// float mipmapLevelBias; /// float minMipmapLevelClamp; /// float maxMipmapLevelClamp; /// }; /// \endcode /// where /// - ::cudaTextureDesc::addressMode specifies the addressing mode for each dimension of the texture data. ::cudaTextureAddressMode is defined as: /// \code /// enum cudaTextureAddressMode { /// cudaAddressModeWrap = 0, /// cudaAddressModeClamp = 1, /// cudaAddressModeMirror = 2, /// cudaAddressModeBorder = 3 /// }; /// \endcode /// This is ignored if ::cudaResourceDesc::resType is ::cudaResourceTypeLinear. Also, if ::cudaTextureDesc::normalizedCoords /// is set to zero, ::cudaAddressModeWrap and ::cudaAddressModeMirror won't be supported and will be switched to ::cudaAddressModeClamp. /// /// - ::cudaTextureDesc::filterMode specifies the filtering mode to be used when fetching from the texture. ::cudaTextureFilterMode is defined as: /// \code /// enum cudaTextureFilterMode { /// cudaFilterModePoint = 0, /// cudaFilterModeLinear = 1 /// }; /// \endcode /// This is ignored if ::cudaResourceDesc::resType is ::cudaResourceTypeLinear. /// /// - ::cudaTextureDesc::readMode specifies whether integer data should be converted to floating point or not. ::cudaTextureReadMode is defined as: /// \code /// enum cudaTextureReadMode { /// cudaReadModeElementType = 0, /// cudaReadModeNormalizedFloat = 1 /// }; /// \endcode /// Note that this applies only to 8-bit and 16-bit integer formats. 32-bit integer format would not be promoted, regardless of /// whether or not this ::cudaTextureDesc::readMode is set ::cudaReadModeNormalizedFloat is specified. /// /// - ::cudaTextureDesc::sRGB specifies whether sRGB to linear conversion should be performed during texture fetch. /// /// - ::cudaTextureDesc::borderColor specifies the float values of color. where: /// ::cudaTextureDesc::borderColor[0] contains value of 'R', /// ::cudaTextureDesc::borderColor[1] contains value of 'G', /// ::cudaTextureDesc::borderColor[2] contains value of 'B', /// ::cudaTextureDesc::borderColor[3] contains value of 'A' /// Note that application using integer border color values will need to <reinterpret_cast> these values to float. /// The values are set only when the addressing mode specified by ::cudaTextureDesc::addressMode is cudaAddressModeBorder. /// /// - ::cudaTextureDesc::normalizedCoords specifies whether the texture coordinates will be normalized or not. /// /// - ::cudaTextureDesc::maxAnisotropy specifies the maximum anistropy ratio to be used when doing anisotropic filtering. This value will be /// clamped to the range [1,16]. /// /// - ::cudaTextureDesc::mipmapFilterMode specifies the filter mode when the calculated mipmap level lies between two defined mipmap levels. /// /// - ::cudaTextureDesc::mipmapLevelBias specifies the offset to be applied to the calculated mipmap level. /// /// - ::cudaTextureDesc::minMipmapLevelClamp specifies the lower end of the mipmap level range to clamp access to. /// /// - ::cudaTextureDesc::maxMipmapLevelClamp specifies the upper end of the mipmap level range to clamp access to. /// /// /// The ::cudaResourceViewDesc struct is defined as /// \code /// struct cudaResourceViewDesc { /// enum cudaResourceViewFormat format; /// size_t width; /// size_t height; /// size_t depth; /// unsigned int firstMipmapLevel; /// unsigned int lastMipmapLevel; /// unsigned int firstLayer; /// unsigned int lastLayer; /// }; /// \endcode /// where: /// - ::cudaResourceViewDesc::format specifies how the data contained in the CUDA array or CUDA mipmapped array should /// be interpreted. Note that this can incur a change in size of the texture data. If the resource view format is a block /// compressed format, then the underlying CUDA array or CUDA mipmapped array has to have a 32-bit unsigned integer format /// with 2 or 4 channels, depending on the block compressed format. For ex., BC1 and BC4 require the underlying CUDA array to have /// a 32-bit unsigned int with 2 channels. The other BC formats require the underlying resource to have the same 32-bit unsigned int /// format but with 4 channels. /// /// - ::cudaResourceViewDesc::width specifies the new width of the texture data. If the resource view format is a block /// compressed format, this value has to be 4 times the original width of the resource. For non block compressed formats, /// this value has to be equal to that of the original resource. /// /// - ::cudaResourceViewDesc::height specifies the new height of the texture data. If the resource view format is a block /// compressed format, this value has to be 4 times the original height of the resource. For non block compressed formats, /// this value has to be equal to that of the original resource. /// /// - ::cudaResourceViewDesc::depth specifies the new depth of the texture data. This value has to be equal to that of the /// original resource. /// /// - ::cudaResourceViewDesc::firstMipmapLevel specifies the most detailed mipmap level. This will be the new mipmap level zero. /// For non-mipmapped resources, this value has to be zero.::cudaTextureDesc::minMipmapLevelClamp and ::cudaTextureDesc::maxMipmapLevelClamp /// will be relative to this value. For ex., if the firstMipmapLevel is set to 2, and a minMipmapLevelClamp of 1.2 is specified, /// then the actual minimum mipmap level clamp will be 3.2. /// /// - ::cudaResourceViewDesc::lastMipmapLevel specifies the least detailed mipmap level. For non-mipmapped resources, this value /// has to be zero. /// /// - ::cudaResourceViewDesc::firstLayer specifies the first layer index for layered textures. This will be the new layer zero. /// For non-layered resources, this value has to be zero. /// /// - ::cudaResourceViewDesc::lastLayer specifies the last layer index for layered textures. For non-layered resources, /// this value has to be zero. /// /// /// \param pTexObject - Texture object to create /// \param pResDesc - Resource descriptor /// \param pTexDesc - Texture descriptor /// \param pResViewDesc - Resource view descriptor /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaDestroyTextureObject pub fn cudaCreateTextureObject( pTexObject: *mut cudaTextureObject_t, pResDesc: *const cudaResourceDesc, pTexDesc: *const cudaTextureDesc, pResViewDesc: *const cudaResourceViewDesc, ) -> cudaError_t; } extern "C" { /// \brief Destroys a texture object /// /// Destroys the texture object specified by \p texObject. /// /// \param texObject - Texture object to destroy /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaCreateTextureObject pub fn cudaDestroyTextureObject(texObject: cudaTextureObject_t) -> cudaError_t; } extern "C" { /// \brief Returns a texture object's resource descriptor /// /// Returns the resource descriptor for the texture object specified by \p texObject. /// /// \param pResDesc - Resource descriptor /// \param texObject - Texture object /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaCreateTextureObject pub fn cudaGetTextureObjectResourceDesc( pResDesc: *mut cudaResourceDesc, texObject: cudaTextureObject_t, ) -> cudaError_t; } extern "C" { /// \brief Returns a texture object's texture descriptor /// /// Returns the texture descriptor for the texture object specified by \p texObject. /// /// \param pTexDesc - Texture descriptor /// \param texObject - Texture object /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaCreateTextureObject pub fn cudaGetTextureObjectTextureDesc( pTexDesc: *mut cudaTextureDesc, texObject: cudaTextureObject_t, ) -> cudaError_t; } extern "C" { /// \brief Returns a texture object's resource view descriptor /// /// Returns the resource view descriptor for the texture object specified by \p texObject. /// If no resource view was specified, ::cudaErrorInvalidValue is returned. /// /// \param pResViewDesc - Resource view descriptor /// \param texObject - Texture object /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaCreateTextureObject pub fn cudaGetTextureObjectResourceViewDesc( pResViewDesc: *mut cudaResourceViewDesc, texObject: cudaTextureObject_t, ) -> cudaError_t; } extern "C" { /// \brief Creates a surface object /// /// Creates a surface object and returns it in \p pSurfObject. \p pResDesc describes /// the data to perform surface load/stores on. ::cudaResourceDesc::resType must be /// ::cudaResourceTypeArray and ::cudaResourceDesc::res::array::array /// must be set to a valid CUDA array handle. /// /// Surface objects are only supported on devices of compute capability 3.0 or higher. /// Additionally, a surface object is an opaque value, and, as such, should only be /// accessed through CUDA API calls. /// /// \param pSurfObject - Surface object to create /// \param pResDesc - Resource descriptor /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaDestroySurfaceObject pub fn cudaCreateSurfaceObject( pSurfObject: *mut cudaSurfaceObject_t, pResDesc: *const cudaResourceDesc, ) -> cudaError_t; } extern "C" { /// \brief Destroys a surface object /// /// Destroys the surface object specified by \p surfObject. /// /// \param surfObject - Surface object to destroy /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaCreateSurfaceObject pub fn cudaDestroySurfaceObject(surfObject: cudaSurfaceObject_t) -> cudaError_t; } extern "C" { /// \brief Returns a surface object's resource descriptor /// Returns the resource descriptor for the surface object specified by \p surfObject. /// /// \param pResDesc - Resource descriptor /// \param surfObject - Surface object /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaCreateSurfaceObject pub fn cudaGetSurfaceObjectResourceDesc( pResDesc: *mut cudaResourceDesc, surfObject: cudaSurfaceObject_t, ) -> cudaError_t; } extern "C" { /// \brief Returns the CUDA driver version /// /// Returns in \p *driverVersion the version number of the installed CUDA /// driver. If no driver is installed, then 0 is returned as the driver /// version (via \p driverVersion). This function automatically returns /// ::cudaErrorInvalidValue if the \p driverVersion argument is NULL. /// /// \param driverVersion - Returns the CUDA driver version. /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// \notefnerr /// /// \sa ::cudaRuntimeGetVersion pub fn cudaDriverGetVersion(driverVersion: *mut ::libc::c_int) -> cudaError_t; } extern "C" { /// \brief Returns the CUDA Runtime version /// /// Returns in \p *runtimeVersion the version number of the installed CUDA /// Runtime. This function automatically returns ::cudaErrorInvalidValue if /// the \p runtimeVersion argument is NULL. /// /// \param runtimeVersion - Returns the CUDA Runtime version. /// /// \return /// ::cudaSuccess, /// ::cudaErrorInvalidValue /// /// \sa ::cudaDriverGetVersion pub fn cudaRuntimeGetVersion(runtimeVersion: *mut ::libc::c_int) -> cudaError_t; } extern "C" { /// \cond impl_private pub fn cudaGetExportTable( ppExportTable: *mut *const ::libc::c_void, pExportTableId: *const cudaUUID_t, ) -> cudaError_t; } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnContext { _unused: [u8; 0], } pub type cudnnHandle_t = *mut cudnnContext; extern "C" { pub fn cudnnGetVersion() -> usize; } extern "C" { pub fn cudnnGetCudartVersion() -> usize; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnStatus_t { CUDNN_STATUS_SUCCESS = 0, CUDNN_STATUS_NOT_INITIALIZED = 1, CUDNN_STATUS_ALLOC_FAILED = 2, CUDNN_STATUS_BAD_PARAM = 3, CUDNN_STATUS_INTERNAL_ERROR = 4, CUDNN_STATUS_INVALID_VALUE = 5, CUDNN_STATUS_ARCH_MISMATCH = 6, CUDNN_STATUS_MAPPING_ERROR = 7, CUDNN_STATUS_EXECUTION_FAILED = 8, CUDNN_STATUS_NOT_SUPPORTED = 9, CUDNN_STATUS_LICENSE_ERROR = 10, CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING = 11, CUDNN_STATUS_RUNTIME_IN_PROGRESS = 12, CUDNN_STATUS_RUNTIME_FP_OVERFLOW = 13, } extern "C" { pub fn cudnnGetErrorString(status: cudnnStatus_t) -> *const ::libc::c_char; } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnRuntimeTag_t { _unused: [u8; 0], } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnErrQueryMode_t { CUDNN_ERRQUERY_RAWCODE = 0, CUDNN_ERRQUERY_NONBLOCKING = 1, CUDNN_ERRQUERY_BLOCKING = 2, } extern "C" { pub fn cudnnQueryRuntimeError( handle: cudnnHandle_t, rstatus: *mut cudnnStatus_t, mode: cudnnErrQueryMode_t, tag: *mut cudnnRuntimeTag_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetProperty(type_: libraryPropertyType, value: *mut ::libc::c_int) -> cudnnStatus_t; } extern "C" { pub fn cudnnCreate(handle: *mut cudnnHandle_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroy(handle: cudnnHandle_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetStream(handle: cudnnHandle_t, streamId: cudaStream_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetStream(handle: cudnnHandle_t, streamId: *mut cudaStream_t) -> cudnnStatus_t; } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnTensorStruct { _unused: [u8; 0], } pub type cudnnTensorDescriptor_t = *mut cudnnTensorStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnConvolutionStruct { _unused: [u8; 0], } pub type cudnnConvolutionDescriptor_t = *mut cudnnConvolutionStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnPoolingStruct { _unused: [u8; 0], } pub type cudnnPoolingDescriptor_t = *mut cudnnPoolingStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnFilterStruct { _unused: [u8; 0], } pub type cudnnFilterDescriptor_t = *mut cudnnFilterStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnLRNStruct { _unused: [u8; 0], } pub type cudnnLRNDescriptor_t = *mut cudnnLRNStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnActivationStruct { _unused: [u8; 0], } pub type cudnnActivationDescriptor_t = *mut cudnnActivationStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnSpatialTransformerStruct { _unused: [u8; 0], } pub type cudnnSpatialTransformerDescriptor_t = *mut cudnnSpatialTransformerStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnOpTensorStruct { _unused: [u8; 0], } pub type cudnnOpTensorDescriptor_t = *mut cudnnOpTensorStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnReduceTensorStruct { _unused: [u8; 0], } pub type cudnnReduceTensorDescriptor_t = *mut cudnnReduceTensorStruct; #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnCTCLossStruct { _unused: [u8; 0], } pub type cudnnCTCLossDescriptor_t = *mut cudnnCTCLossStruct; #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnDataType_t { CUDNN_DATA_FLOAT = 0, CUDNN_DATA_DOUBLE = 1, CUDNN_DATA_HALF = 2, CUDNN_DATA_INT8 = 3, CUDNN_DATA_INT32 = 4, CUDNN_DATA_INT8x4 = 5, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnMathType_t { CUDNN_DEFAULT_MATH = 0, CUDNN_TENSOR_OP_MATH = 1, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnNanPropagation_t { CUDNN_NOT_PROPAGATE_NAN = 0, CUDNN_PROPAGATE_NAN = 1, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnDeterminism_t { CUDNN_NON_DETERMINISTIC = 0, CUDNN_DETERMINISTIC = 1, } extern "C" { pub fn cudnnCreateTensorDescriptor(tensorDesc: *mut cudnnTensorDescriptor_t) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnTensorFormat_t { CUDNN_TENSOR_NCHW = 0, CUDNN_TENSOR_NHWC = 1, CUDNN_TENSOR_NCHW_VECT_C = 2, } extern "C" { pub fn cudnnSetTensor4dDescriptor( tensorDesc: cudnnTensorDescriptor_t, format: cudnnTensorFormat_t, dataType: cudnnDataType_t, n: ::libc::c_int, c: ::libc::c_int, h: ::libc::c_int, w: ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetTensor4dDescriptorEx( tensorDesc: cudnnTensorDescriptor_t, dataType: cudnnDataType_t, n: ::libc::c_int, c: ::libc::c_int, h: ::libc::c_int, w: ::libc::c_int, nStride: ::libc::c_int, cStride: ::libc::c_int, hStride: ::libc::c_int, wStride: ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetTensor4dDescriptor( tensorDesc: cudnnTensorDescriptor_t, dataType: *mut cudnnDataType_t, n: *mut ::libc::c_int, c: *mut ::libc::c_int, h: *mut ::libc::c_int, w: *mut ::libc::c_int, nStride: *mut ::libc::c_int, cStride: *mut ::libc::c_int, hStride: *mut ::libc::c_int, wStride: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetTensorNdDescriptor( tensorDesc: cudnnTensorDescriptor_t, dataType: cudnnDataType_t, nbDims: ::libc::c_int, dimA: *const ::libc::c_int, strideA: *const ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetTensorNdDescriptorEx( tensorDesc: cudnnTensorDescriptor_t, format: cudnnTensorFormat_t, dataType: cudnnDataType_t, nbDims: ::libc::c_int, dimA: *const ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetTensorNdDescriptor( tensorDesc: cudnnTensorDescriptor_t, nbDimsRequested: ::libc::c_int, dataType: *mut cudnnDataType_t, nbDims: *mut ::libc::c_int, dimA: *mut ::libc::c_int, strideA: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetTensorSizeInBytes( tensorDesc: cudnnTensorDescriptor_t, size: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyTensorDescriptor(tensorDesc: cudnnTensorDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnTransformTensor( handle: cudnnHandle_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnAddTensor( handle: cudnnHandle_t, alpha: *const ::libc::c_void, aDesc: cudnnTensorDescriptor_t, A: *const ::libc::c_void, beta: *const ::libc::c_void, cDesc: cudnnTensorDescriptor_t, C: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnOpTensorOp_t { CUDNN_OP_TENSOR_ADD = 0, CUDNN_OP_TENSOR_MUL = 1, CUDNN_OP_TENSOR_MIN = 2, CUDNN_OP_TENSOR_MAX = 3, CUDNN_OP_TENSOR_SQRT = 4, CUDNN_OP_TENSOR_NOT = 5, } extern "C" { pub fn cudnnCreateOpTensorDescriptor( opTensorDesc: *mut cudnnOpTensorDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetOpTensorDescriptor( opTensorDesc: cudnnOpTensorDescriptor_t, opTensorOp: cudnnOpTensorOp_t, opTensorCompType: cudnnDataType_t, opTensorNanOpt: cudnnNanPropagation_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetOpTensorDescriptor( opTensorDesc: cudnnOpTensorDescriptor_t, opTensorOp: *mut cudnnOpTensorOp_t, opTensorCompType: *mut cudnnDataType_t, opTensorNanOpt: *mut cudnnNanPropagation_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyOpTensorDescriptor(opTensorDesc: cudnnOpTensorDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnOpTensor( handle: cudnnHandle_t, opTensorDesc: cudnnOpTensorDescriptor_t, alpha1: *const ::libc::c_void, aDesc: cudnnTensorDescriptor_t, A: *const ::libc::c_void, alpha2: *const ::libc::c_void, bDesc: cudnnTensorDescriptor_t, B: *const ::libc::c_void, beta: *const ::libc::c_void, cDesc: cudnnTensorDescriptor_t, C: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnReduceTensorOp_t { CUDNN_REDUCE_TENSOR_ADD = 0, CUDNN_REDUCE_TENSOR_MUL = 1, CUDNN_REDUCE_TENSOR_MIN = 2, CUDNN_REDUCE_TENSOR_MAX = 3, CUDNN_REDUCE_TENSOR_AMAX = 4, CUDNN_REDUCE_TENSOR_AVG = 5, CUDNN_REDUCE_TENSOR_NORM1 = 6, CUDNN_REDUCE_TENSOR_NORM2 = 7, CUDNN_REDUCE_TENSOR_MUL_NO_ZEROS = 8, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnReduceTensorIndices_t { CUDNN_REDUCE_TENSOR_NO_INDICES = 0, CUDNN_REDUCE_TENSOR_FLATTENED_INDICES = 1, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnIndicesType_t { CUDNN_32BIT_INDICES = 0, CUDNN_64BIT_INDICES = 1, CUDNN_16BIT_INDICES = 2, CUDNN_8BIT_INDICES = 3, } extern "C" { pub fn cudnnCreateReduceTensorDescriptor( reduceTensorDesc: *mut cudnnReduceTensorDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetReduceTensorDescriptor( reduceTensorDesc: cudnnReduceTensorDescriptor_t, reduceTensorOp: cudnnReduceTensorOp_t, reduceTensorCompType: cudnnDataType_t, reduceTensorNanOpt: cudnnNanPropagation_t, reduceTensorIndices: cudnnReduceTensorIndices_t, reduceTensorIndicesType: cudnnIndicesType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetReduceTensorDescriptor( reduceTensorDesc: cudnnReduceTensorDescriptor_t, reduceTensorOp: *mut cudnnReduceTensorOp_t, reduceTensorCompType: *mut cudnnDataType_t, reduceTensorNanOpt: *mut cudnnNanPropagation_t, reduceTensorIndices: *mut cudnnReduceTensorIndices_t, reduceTensorIndicesType: *mut cudnnIndicesType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyReduceTensorDescriptor( reduceTensorDesc: cudnnReduceTensorDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetReductionIndicesSize( handle: cudnnHandle_t, reduceTensorDesc: cudnnReduceTensorDescriptor_t, aDesc: cudnnTensorDescriptor_t, cDesc: cudnnTensorDescriptor_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetReductionWorkspaceSize( handle: cudnnHandle_t, reduceTensorDesc: cudnnReduceTensorDescriptor_t, aDesc: cudnnTensorDescriptor_t, cDesc: cudnnTensorDescriptor_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnReduceTensor( handle: cudnnHandle_t, reduceTensorDesc: cudnnReduceTensorDescriptor_t, indices: *mut ::libc::c_void, indicesSizeInBytes: usize, workspace: *mut ::libc::c_void, workspaceSizeInBytes: usize, alpha: *const ::libc::c_void, aDesc: cudnnTensorDescriptor_t, A: *const ::libc::c_void, beta: *const ::libc::c_void, cDesc: cudnnTensorDescriptor_t, C: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetTensor( handle: cudnnHandle_t, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, valuePtr: *const ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnScaleTensor( handle: cudnnHandle_t, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, alpha: *const ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnConvolutionMode_t { CUDNN_CONVOLUTION = 0, CUDNN_CROSS_CORRELATION = 1, } extern "C" { pub fn cudnnCreateFilterDescriptor(filterDesc: *mut cudnnFilterDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetFilter4dDescriptor( filterDesc: cudnnFilterDescriptor_t, dataType: cudnnDataType_t, format: cudnnTensorFormat_t, k: ::libc::c_int, c: ::libc::c_int, h: ::libc::c_int, w: ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetFilter4dDescriptor( filterDesc: cudnnFilterDescriptor_t, dataType: *mut cudnnDataType_t, format: *mut cudnnTensorFormat_t, k: *mut ::libc::c_int, c: *mut ::libc::c_int, h: *mut ::libc::c_int, w: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetFilterNdDescriptor( filterDesc: cudnnFilterDescriptor_t, dataType: cudnnDataType_t, format: cudnnTensorFormat_t, nbDims: ::libc::c_int, filterDimA: *const ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetFilterNdDescriptor( filterDesc: cudnnFilterDescriptor_t, nbDimsRequested: ::libc::c_int, dataType: *mut cudnnDataType_t, format: *mut cudnnTensorFormat_t, nbDims: *mut ::libc::c_int, filterDimA: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyFilterDescriptor(filterDesc: cudnnFilterDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnCreateConvolutionDescriptor( convDesc: *mut cudnnConvolutionDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetConvolutionMathType( convDesc: cudnnConvolutionDescriptor_t, mathType: cudnnMathType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionMathType( convDesc: cudnnConvolutionDescriptor_t, mathType: *mut cudnnMathType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetConvolutionGroupCount( convDesc: cudnnConvolutionDescriptor_t, groupCount: ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionGroupCount( convDesc: cudnnConvolutionDescriptor_t, groupCount: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetConvolution2dDescriptor( convDesc: cudnnConvolutionDescriptor_t, pad_h: ::libc::c_int, pad_w: ::libc::c_int, u: ::libc::c_int, v: ::libc::c_int, dilation_h: ::libc::c_int, dilation_w: ::libc::c_int, mode: cudnnConvolutionMode_t, computeType: cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolution2dDescriptor( convDesc: cudnnConvolutionDescriptor_t, pad_h: *mut ::libc::c_int, pad_w: *mut ::libc::c_int, u: *mut ::libc::c_int, v: *mut ::libc::c_int, dilation_h: *mut ::libc::c_int, dilation_w: *mut ::libc::c_int, mode: *mut cudnnConvolutionMode_t, computeType: *mut cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolution2dForwardOutputDim( convDesc: cudnnConvolutionDescriptor_t, inputTensorDesc: cudnnTensorDescriptor_t, filterDesc: cudnnFilterDescriptor_t, n: *mut ::libc::c_int, c: *mut ::libc::c_int, h: *mut ::libc::c_int, w: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetConvolutionNdDescriptor( convDesc: cudnnConvolutionDescriptor_t, arrayLength: ::libc::c_int, padA: *const ::libc::c_int, filterStrideA: *const ::libc::c_int, dilationA: *const ::libc::c_int, mode: cudnnConvolutionMode_t, computeType: cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionNdDescriptor( convDesc: cudnnConvolutionDescriptor_t, arrayLengthRequested: ::libc::c_int, arrayLength: *mut ::libc::c_int, padA: *mut ::libc::c_int, strideA: *mut ::libc::c_int, dilationA: *mut ::libc::c_int, mode: *mut cudnnConvolutionMode_t, computeType: *mut cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionNdForwardOutputDim( convDesc: cudnnConvolutionDescriptor_t, inputTensorDesc: cudnnTensorDescriptor_t, filterDesc: cudnnFilterDescriptor_t, nbDims: ::libc::c_int, tensorOuputDimA: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyConvolutionDescriptor( convDesc: cudnnConvolutionDescriptor_t, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnConvolutionFwdPreference_t { CUDNN_CONVOLUTION_FWD_NO_WORKSPACE = 0, CUDNN_CONVOLUTION_FWD_PREFER_FASTEST = 1, CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT = 2, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnConvolutionFwdAlgo_t { CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM = 0, CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM = 1, CUDNN_CONVOLUTION_FWD_ALGO_GEMM = 2, CUDNN_CONVOLUTION_FWD_ALGO_DIRECT = 3, CUDNN_CONVOLUTION_FWD_ALGO_FFT = 4, CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING = 5, CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD = 6, CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD_NONFUSED = 7, CUDNN_CONVOLUTION_FWD_ALGO_COUNT = 8, } #[repr(C)] #[derive(Debug, Copy)] pub struct cudnnConvolutionFwdAlgoPerf_t { pub algo: cudnnConvolutionFwdAlgo_t, pub status: cudnnStatus_t, pub time: f32, pub memory: usize, pub determinism: cudnnDeterminism_t, pub mathType: cudnnMathType_t, pub reserved: [::libc::c_int; 3usize], } #[test] fn bindgen_test_layout_cudnnConvolutionFwdAlgoPerf_t() { assert_eq!( ::std::mem::size_of::<cudnnConvolutionFwdAlgoPerf_t>(), 48usize, concat!("Size of: ", stringify!(cudnnConvolutionFwdAlgoPerf_t)) ); assert_eq!( ::std::mem::align_of::<cudnnConvolutionFwdAlgoPerf_t>(), 8usize, concat!("Alignment of ", stringify!(cudnnConvolutionFwdAlgoPerf_t)) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionFwdAlgoPerf_t)).algo as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionFwdAlgoPerf_t), "::", stringify!(algo) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionFwdAlgoPerf_t)).status as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionFwdAlgoPerf_t), "::", stringify!(status) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionFwdAlgoPerf_t)).time as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionFwdAlgoPerf_t), "::", stringify!(time) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionFwdAlgoPerf_t)).memory as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionFwdAlgoPerf_t), "::", stringify!(memory) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionFwdAlgoPerf_t)).determinism as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionFwdAlgoPerf_t), "::", stringify!(determinism) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionFwdAlgoPerf_t)).mathType as *const _ as usize }, 28usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionFwdAlgoPerf_t), "::", stringify!(mathType) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionFwdAlgoPerf_t)).reserved as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionFwdAlgoPerf_t), "::", stringify!(reserved) ) ); } impl Clone for cudnnConvolutionFwdAlgoPerf_t { fn clone(&self) -> Self { *self } } extern "C" { pub fn cudnnGetConvolutionForwardAlgorithmMaxCount( handle: cudnnHandle_t, count: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnFindConvolutionForwardAlgorithm( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, wDesc: cudnnFilterDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, yDesc: cudnnTensorDescriptor_t, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionFwdAlgoPerf_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnFindConvolutionForwardAlgorithmEx( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, convDesc: cudnnConvolutionDescriptor_t, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionFwdAlgoPerf_t, workSpace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionForwardAlgorithm( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, wDesc: cudnnFilterDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, yDesc: cudnnTensorDescriptor_t, preference: cudnnConvolutionFwdPreference_t, memoryLimitInBytes: usize, algo: *mut cudnnConvolutionFwdAlgo_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionForwardAlgorithm_v7( handle: cudnnHandle_t, srcDesc: cudnnTensorDescriptor_t, filterDesc: cudnnFilterDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, destDesc: cudnnTensorDescriptor_t, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionFwdAlgoPerf_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionForwardWorkspaceSize( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, wDesc: cudnnFilterDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, yDesc: cudnnTensorDescriptor_t, algo: cudnnConvolutionFwdAlgo_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnConvolutionForward( handle: cudnnHandle_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, convDesc: cudnnConvolutionDescriptor_t, algo: cudnnConvolutionFwdAlgo_t, workSpace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnConvolutionBiasActivationForward( handle: cudnnHandle_t, alpha1: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, convDesc: cudnnConvolutionDescriptor_t, algo: cudnnConvolutionFwdAlgo_t, workSpace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, alpha2: *const ::libc::c_void, zDesc: cudnnTensorDescriptor_t, z: *const ::libc::c_void, biasDesc: cudnnTensorDescriptor_t, bias: *const ::libc::c_void, activationDesc: cudnnActivationDescriptor_t, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnConvolutionBackwardBias( handle: cudnnHandle_t, alpha: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, beta: *const ::libc::c_void, dbDesc: cudnnTensorDescriptor_t, db: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnConvolutionBwdFilterPreference_t { CUDNN_CONVOLUTION_BWD_FILTER_NO_WORKSPACE = 0, CUDNN_CONVOLUTION_BWD_FILTER_PREFER_FASTEST = 1, CUDNN_CONVOLUTION_BWD_FILTER_SPECIFY_WORKSPACE_LIMIT = 2, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnConvolutionBwdFilterAlgo_t { CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0 = 0, CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1 = 1, CUDNN_CONVOLUTION_BWD_FILTER_ALGO_FFT = 2, CUDNN_CONVOLUTION_BWD_FILTER_ALGO_3 = 3, CUDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD = 4, CUDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD_NONFUSED = 5, CUDNN_CONVOLUTION_BWD_FILTER_ALGO_FFT_TILING = 6, CUDNN_CONVOLUTION_BWD_FILTER_ALGO_COUNT = 7, } #[repr(C)] #[derive(Debug, Copy)] pub struct cudnnConvolutionBwdFilterAlgoPerf_t { pub algo: cudnnConvolutionBwdFilterAlgo_t, pub status: cudnnStatus_t, pub time: f32, pub memory: usize, pub determinism: cudnnDeterminism_t, pub mathType: cudnnMathType_t, pub reserved: [::libc::c_int; 3usize], } #[test] fn bindgen_test_layout_cudnnConvolutionBwdFilterAlgoPerf_t() { assert_eq!( ::std::mem::size_of::<cudnnConvolutionBwdFilterAlgoPerf_t>(), 48usize, concat!("Size of: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t)) ); assert_eq!( ::std::mem::align_of::<cudnnConvolutionBwdFilterAlgoPerf_t>(), 8usize, concat!( "Alignment of ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdFilterAlgoPerf_t)).algo as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t), "::", stringify!(algo) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdFilterAlgoPerf_t)).status as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t), "::", stringify!(status) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdFilterAlgoPerf_t)).time as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t), "::", stringify!(time) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdFilterAlgoPerf_t)).memory as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t), "::", stringify!(memory) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdFilterAlgoPerf_t)).determinism as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t), "::", stringify!(determinism) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdFilterAlgoPerf_t)).mathType as *const _ as usize }, 28usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t), "::", stringify!(mathType) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdFilterAlgoPerf_t)).reserved as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdFilterAlgoPerf_t), "::", stringify!(reserved) ) ); } impl Clone for cudnnConvolutionBwdFilterAlgoPerf_t { fn clone(&self) -> Self { *self } } extern "C" { pub fn cudnnGetConvolutionBackwardFilterAlgorithmMaxCount( handle: cudnnHandle_t, count: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnFindConvolutionBackwardFilterAlgorithm( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, dyDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, dwDesc: cudnnFilterDescriptor_t, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionBwdFilterAlgoPerf_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnFindConvolutionBackwardFilterAlgorithmEx( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, y: *const ::libc::c_void, convDesc: cudnnConvolutionDescriptor_t, dwDesc: cudnnFilterDescriptor_t, dw: *mut ::libc::c_void, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionBwdFilterAlgoPerf_t, workSpace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionBackwardFilterAlgorithm( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, dyDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, dwDesc: cudnnFilterDescriptor_t, preference: cudnnConvolutionBwdFilterPreference_t, memoryLimitInBytes: usize, algo: *mut cudnnConvolutionBwdFilterAlgo_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionBackwardFilterAlgorithm_v7( handle: cudnnHandle_t, srcDesc: cudnnTensorDescriptor_t, diffDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, gradDesc: cudnnFilterDescriptor_t, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionBwdFilterAlgoPerf_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionBackwardFilterWorkspaceSize( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, dyDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, gradDesc: cudnnFilterDescriptor_t, algo: cudnnConvolutionBwdFilterAlgo_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnConvolutionBackwardFilter( handle: cudnnHandle_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, convDesc: cudnnConvolutionDescriptor_t, algo: cudnnConvolutionBwdFilterAlgo_t, workSpace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, beta: *const ::libc::c_void, dwDesc: cudnnFilterDescriptor_t, dw: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnConvolutionBwdDataPreference_t { CUDNN_CONVOLUTION_BWD_DATA_NO_WORKSPACE = 0, CUDNN_CONVOLUTION_BWD_DATA_PREFER_FASTEST = 1, CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT = 2, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnConvolutionBwdDataAlgo_t { CUDNN_CONVOLUTION_BWD_DATA_ALGO_0 = 0, CUDNN_CONVOLUTION_BWD_DATA_ALGO_1 = 1, CUDNN_CONVOLUTION_BWD_DATA_ALGO_FFT = 2, CUDNN_CONVOLUTION_BWD_DATA_ALGO_FFT_TILING = 3, CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD = 4, CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD_NONFUSED = 5, CUDNN_CONVOLUTION_BWD_DATA_ALGO_COUNT = 6, } #[repr(C)] #[derive(Debug, Copy)] pub struct cudnnConvolutionBwdDataAlgoPerf_t { pub algo: cudnnConvolutionBwdDataAlgo_t, pub status: cudnnStatus_t, pub time: f32, pub memory: usize, pub determinism: cudnnDeterminism_t, pub mathType: cudnnMathType_t, pub reserved: [::libc::c_int; 3usize], } #[test] fn bindgen_test_layout_cudnnConvolutionBwdDataAlgoPerf_t() { assert_eq!( ::std::mem::size_of::<cudnnConvolutionBwdDataAlgoPerf_t>(), 48usize, concat!("Size of: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t)) ); assert_eq!( ::std::mem::align_of::<cudnnConvolutionBwdDataAlgoPerf_t>(), 8usize, concat!( "Alignment of ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdDataAlgoPerf_t)).algo as *const _ as usize }, 0usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t), "::", stringify!(algo) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdDataAlgoPerf_t)).status as *const _ as usize }, 4usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t), "::", stringify!(status) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdDataAlgoPerf_t)).time as *const _ as usize }, 8usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t), "::", stringify!(time) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdDataAlgoPerf_t)).memory as *const _ as usize }, 16usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t), "::", stringify!(memory) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdDataAlgoPerf_t)).determinism as *const _ as usize }, 24usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t), "::", stringify!(determinism) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdDataAlgoPerf_t)).mathType as *const _ as usize }, 28usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t), "::", stringify!(mathType) ) ); assert_eq!( unsafe { &(*(0 as *const cudnnConvolutionBwdDataAlgoPerf_t)).reserved as *const _ as usize }, 32usize, concat!( "Alignment of field: ", stringify!(cudnnConvolutionBwdDataAlgoPerf_t), "::", stringify!(reserved) ) ); } impl Clone for cudnnConvolutionBwdDataAlgoPerf_t { fn clone(&self) -> Self { *self } } extern "C" { pub fn cudnnGetConvolutionBackwardDataAlgorithmMaxCount( handle: cudnnHandle_t, count: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnFindConvolutionBackwardDataAlgorithm( handle: cudnnHandle_t, wDesc: cudnnFilterDescriptor_t, dyDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, dxDesc: cudnnTensorDescriptor_t, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionBwdDataAlgoPerf_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnFindConvolutionBackwardDataAlgorithmEx( handle: cudnnHandle_t, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, convDesc: cudnnConvolutionDescriptor_t, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionBwdDataAlgoPerf_t, workSpace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionBackwardDataAlgorithm( handle: cudnnHandle_t, wDesc: cudnnFilterDescriptor_t, dyDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, dxDesc: cudnnTensorDescriptor_t, preference: cudnnConvolutionBwdDataPreference_t, memoryLimitInBytes: usize, algo: *mut cudnnConvolutionBwdDataAlgo_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionBackwardDataAlgorithm_v7( handle: cudnnHandle_t, filterDesc: cudnnFilterDescriptor_t, diffDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, gradDesc: cudnnTensorDescriptor_t, requestedAlgoCount: ::libc::c_int, returnedAlgoCount: *mut ::libc::c_int, perfResults: *mut cudnnConvolutionBwdDataAlgoPerf_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetConvolutionBackwardDataWorkspaceSize( handle: cudnnHandle_t, wDesc: cudnnFilterDescriptor_t, dyDesc: cudnnTensorDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, dxDesc: cudnnTensorDescriptor_t, algo: cudnnConvolutionBwdDataAlgo_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnConvolutionBackwardData( handle: cudnnHandle_t, alpha: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, convDesc: cudnnConvolutionDescriptor_t, algo: cudnnConvolutionBwdDataAlgo_t, workSpace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, beta: *const ::libc::c_void, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnIm2Col( handle: cudnnHandle_t, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, convDesc: cudnnConvolutionDescriptor_t, colBuffer: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnSoftmaxAlgorithm_t { CUDNN_SOFTMAX_FAST = 0, CUDNN_SOFTMAX_ACCURATE = 1, CUDNN_SOFTMAX_LOG = 2, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnSoftmaxMode_t { CUDNN_SOFTMAX_MODE_INSTANCE = 0, CUDNN_SOFTMAX_MODE_CHANNEL = 1, } extern "C" { pub fn cudnnSoftmaxForward( handle: cudnnHandle_t, algo: cudnnSoftmaxAlgorithm_t, mode: cudnnSoftmaxMode_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSoftmaxBackward( handle: cudnnHandle_t, algo: cudnnSoftmaxAlgorithm_t, mode: cudnnSoftmaxMode_t, alpha: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, beta: *const ::libc::c_void, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnPoolingMode_t { CUDNN_POOLING_MAX = 0, CUDNN_POOLING_AVERAGE_COUNT_INCLUDE_PADDING = 1, CUDNN_POOLING_AVERAGE_COUNT_EXCLUDE_PADDING = 2, CUDNN_POOLING_MAX_DETERMINISTIC = 3, } extern "C" { pub fn cudnnCreatePoolingDescriptor( poolingDesc: *mut cudnnPoolingDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetPooling2dDescriptor( poolingDesc: cudnnPoolingDescriptor_t, mode: cudnnPoolingMode_t, maxpoolingNanOpt: cudnnNanPropagation_t, windowHeight: ::libc::c_int, windowWidth: ::libc::c_int, verticalPadding: ::libc::c_int, horizontalPadding: ::libc::c_int, verticalStride: ::libc::c_int, horizontalStride: ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetPooling2dDescriptor( poolingDesc: cudnnPoolingDescriptor_t, mode: *mut cudnnPoolingMode_t, maxpoolingNanOpt: *mut cudnnNanPropagation_t, windowHeight: *mut ::libc::c_int, windowWidth: *mut ::libc::c_int, verticalPadding: *mut ::libc::c_int, horizontalPadding: *mut ::libc::c_int, verticalStride: *mut ::libc::c_int, horizontalStride: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetPoolingNdDescriptor( poolingDesc: cudnnPoolingDescriptor_t, mode: cudnnPoolingMode_t, maxpoolingNanOpt: cudnnNanPropagation_t, nbDims: ::libc::c_int, windowDimA: *const ::libc::c_int, paddingA: *const ::libc::c_int, strideA: *const ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetPoolingNdDescriptor( poolingDesc: cudnnPoolingDescriptor_t, nbDimsRequested: ::libc::c_int, mode: *mut cudnnPoolingMode_t, maxpoolingNanOpt: *mut cudnnNanPropagation_t, nbDims: *mut ::libc::c_int, windowDimA: *mut ::libc::c_int, paddingA: *mut ::libc::c_int, strideA: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetPoolingNdForwardOutputDim( poolingDesc: cudnnPoolingDescriptor_t, inputTensorDesc: cudnnTensorDescriptor_t, nbDims: ::libc::c_int, outputTensorDimA: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetPooling2dForwardOutputDim( poolingDesc: cudnnPoolingDescriptor_t, inputTensorDesc: cudnnTensorDescriptor_t, n: *mut ::libc::c_int, c: *mut ::libc::c_int, h: *mut ::libc::c_int, w: *mut ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyPoolingDescriptor(poolingDesc: cudnnPoolingDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnPoolingForward( handle: cudnnHandle_t, poolingDesc: cudnnPoolingDescriptor_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnPoolingBackward( handle: cudnnHandle_t, poolingDesc: cudnnPoolingDescriptor_t, alpha: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnActivationMode_t { CUDNN_ACTIVATION_SIGMOID = 0, CUDNN_ACTIVATION_RELU = 1, CUDNN_ACTIVATION_TANH = 2, CUDNN_ACTIVATION_CLIPPED_RELU = 3, CUDNN_ACTIVATION_ELU = 4, } extern "C" { pub fn cudnnCreateActivationDescriptor( activationDesc: *mut cudnnActivationDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetActivationDescriptor( activationDesc: cudnnActivationDescriptor_t, mode: cudnnActivationMode_t, reluNanOpt: cudnnNanPropagation_t, coef: f64, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetActivationDescriptor( activationDesc: cudnnActivationDescriptor_t, mode: *mut cudnnActivationMode_t, reluNanOpt: *mut cudnnNanPropagation_t, coef: *mut f64, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyActivationDescriptor( activationDesc: cudnnActivationDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnActivationForward( handle: cudnnHandle_t, activationDesc: cudnnActivationDescriptor_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnActivationBackward( handle: cudnnHandle_t, activationDesc: cudnnActivationDescriptor_t, alpha: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnCreateLRNDescriptor(normDesc: *mut cudnnLRNDescriptor_t) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnLRNMode_t { CUDNN_LRN_CROSS_CHANNEL_DIM1 = 0, } extern "C" { pub fn cudnnSetLRNDescriptor( normDesc: cudnnLRNDescriptor_t, lrnN: ::libc::c_uint, lrnAlpha: f64, lrnBeta: f64, lrnK: f64, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetLRNDescriptor( normDesc: cudnnLRNDescriptor_t, lrnN: *mut ::libc::c_uint, lrnAlpha: *mut f64, lrnBeta: *mut f64, lrnK: *mut f64, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyLRNDescriptor(lrnDesc: cudnnLRNDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnLRNCrossChannelForward( handle: cudnnHandle_t, normDesc: cudnnLRNDescriptor_t, lrnMode: cudnnLRNMode_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnLRNCrossChannelBackward( handle: cudnnHandle_t, normDesc: cudnnLRNDescriptor_t, lrnMode: cudnnLRNMode_t, alpha: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnDivNormMode_t { CUDNN_DIVNORM_PRECOMPUTED_MEANS = 0, } extern "C" { pub fn cudnnDivisiveNormalizationForward( handle: cudnnHandle_t, normDesc: cudnnLRNDescriptor_t, mode: cudnnDivNormMode_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, means: *const ::libc::c_void, temp: *mut ::libc::c_void, temp2: *mut ::libc::c_void, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDivisiveNormalizationBackward( handle: cudnnHandle_t, normDesc: cudnnLRNDescriptor_t, mode: cudnnDivNormMode_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, means: *const ::libc::c_void, dy: *const ::libc::c_void, temp: *mut ::libc::c_void, temp2: *mut ::libc::c_void, beta: *const ::libc::c_void, dXdMeansDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, dMeans: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnBatchNormMode_t { CUDNN_BATCHNORM_PER_ACTIVATION = 0, CUDNN_BATCHNORM_SPATIAL = 1, CUDNN_BATCHNORM_SPATIAL_PERSISTENT = 2, } extern "C" { pub fn cudnnDeriveBNTensorDescriptor( derivedBnDesc: cudnnTensorDescriptor_t, xDesc: cudnnTensorDescriptor_t, mode: cudnnBatchNormMode_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnBatchNormalizationForwardTraining( handle: cudnnHandle_t, mode: cudnnBatchNormMode_t, alpha: *const ::libc::c_void, beta: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, bnScaleBiasMeanVarDesc: cudnnTensorDescriptor_t, bnScale: *const ::libc::c_void, bnBias: *const ::libc::c_void, exponentialAverageFactor: f64, resultRunningMean: *mut ::libc::c_void, resultRunningVariance: *mut ::libc::c_void, epsilon: f64, resultSaveMean: *mut ::libc::c_void, resultSaveInvVariance: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnBatchNormalizationForwardInference( handle: cudnnHandle_t, mode: cudnnBatchNormMode_t, alpha: *const ::libc::c_void, beta: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, bnScaleBiasMeanVarDesc: cudnnTensorDescriptor_t, bnScale: *const ::libc::c_void, bnBias: *const ::libc::c_void, estimatedMean: *const ::libc::c_void, estimatedVariance: *const ::libc::c_void, epsilon: f64, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnBatchNormalizationBackward( handle: cudnnHandle_t, mode: cudnnBatchNormMode_t, alphaDataDiff: *const ::libc::c_void, betaDataDiff: *const ::libc::c_void, alphaParamDiff: *const ::libc::c_void, betaParamDiff: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, dBnScaleBiasDesc: cudnnTensorDescriptor_t, bnScale: *const ::libc::c_void, dBnScaleResult: *mut ::libc::c_void, dBnBiasResult: *mut ::libc::c_void, epsilon: f64, savedMean: *const ::libc::c_void, savedInvVariance: *const ::libc::c_void, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnSamplerType_t { CUDNN_SAMPLER_BILINEAR = 0, } extern "C" { pub fn cudnnCreateSpatialTransformerDescriptor( stDesc: *mut cudnnSpatialTransformerDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetSpatialTransformerNdDescriptor( stDesc: cudnnSpatialTransformerDescriptor_t, samplerType: cudnnSamplerType_t, dataType: cudnnDataType_t, nbDims: ::libc::c_int, dimA: *const ::libc::c_int, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroySpatialTransformerDescriptor( stDesc: cudnnSpatialTransformerDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSpatialTfGridGeneratorForward( handle: cudnnHandle_t, stDesc: cudnnSpatialTransformerDescriptor_t, theta: *const ::libc::c_void, grid: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSpatialTfGridGeneratorBackward( handle: cudnnHandle_t, stDesc: cudnnSpatialTransformerDescriptor_t, dgrid: *const ::libc::c_void, dtheta: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSpatialTfSamplerForward( handle: cudnnHandle_t, stDesc: cudnnSpatialTransformerDescriptor_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, grid: *const ::libc::c_void, beta: *const ::libc::c_void, yDesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSpatialTfSamplerBackward( handle: cudnnHandle_t, stDesc: cudnnSpatialTransformerDescriptor_t, alpha: *const ::libc::c_void, xDesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, beta: *const ::libc::c_void, dxDesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, alphaDgrid: *const ::libc::c_void, dyDesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, grid: *const ::libc::c_void, betaDgrid: *const ::libc::c_void, dgrid: *mut ::libc::c_void, ) -> cudnnStatus_t; } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnDropoutStruct { _unused: [u8; 0], } pub type cudnnDropoutDescriptor_t = *mut cudnnDropoutStruct; extern "C" { pub fn cudnnCreateDropoutDescriptor( dropoutDesc: *mut cudnnDropoutDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyDropoutDescriptor(dropoutDesc: cudnnDropoutDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnDropoutGetStatesSize( handle: cudnnHandle_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDropoutGetReserveSpaceSize( xdesc: cudnnTensorDescriptor_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetDropoutDescriptor( dropoutDesc: cudnnDropoutDescriptor_t, handle: cudnnHandle_t, dropout: f32, states: *mut ::libc::c_void, stateSizeInBytes: usize, seed: ::libc::c_ulonglong, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnRestoreDropoutDescriptor( dropoutDesc: cudnnDropoutDescriptor_t, handle: cudnnHandle_t, dropout: f32, states: *mut ::libc::c_void, stateSizeInBytes: usize, seed: ::libc::c_ulonglong, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetDropoutDescriptor( dropoutDesc: cudnnDropoutDescriptor_t, handle: cudnnHandle_t, dropout: *mut f32, states: *mut *mut ::libc::c_void, seed: *mut ::libc::c_ulonglong, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDropoutForward( handle: cudnnHandle_t, dropoutDesc: cudnnDropoutDescriptor_t, xdesc: cudnnTensorDescriptor_t, x: *const ::libc::c_void, ydesc: cudnnTensorDescriptor_t, y: *mut ::libc::c_void, reserveSpace: *mut ::libc::c_void, reserveSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDropoutBackward( handle: cudnnHandle_t, dropoutDesc: cudnnDropoutDescriptor_t, dydesc: cudnnTensorDescriptor_t, dy: *const ::libc::c_void, dxdesc: cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, reserveSpace: *mut ::libc::c_void, reserveSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnRNNMode_t { CUDNN_RNN_RELU = 0, CUDNN_RNN_TANH = 1, CUDNN_LSTM = 2, CUDNN_GRU = 3, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnDirectionMode_t { CUDNN_UNIDIRECTIONAL = 0, CUDNN_BIDIRECTIONAL = 1, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnRNNInputMode_t { CUDNN_LINEAR_INPUT = 0, CUDNN_SKIP_INPUT = 1, } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnRNNAlgo_t { CUDNN_RNN_ALGO_STANDARD = 0, CUDNN_RNN_ALGO_PERSIST_STATIC = 1, CUDNN_RNN_ALGO_PERSIST_DYNAMIC = 2, } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnRNNStruct { _unused: [u8; 0], } pub type cudnnRNNDescriptor_t = *mut cudnnRNNStruct; extern "C" { pub fn cudnnCreateRNNDescriptor(rnnDesc: *mut cudnnRNNDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyRNNDescriptor(rnnDesc: cudnnRNNDescriptor_t) -> cudnnStatus_t; } #[repr(C)] #[derive(Debug, Copy, Clone)] pub struct cudnnPersistentRNNPlan { _unused: [u8; 0], } pub type cudnnPersistentRNNPlan_t = *mut cudnnPersistentRNNPlan; extern "C" { pub fn cudnnCreatePersistentRNNPlan( rnnDesc: cudnnRNNDescriptor_t, minibatch: ::libc::c_int, dataType: cudnnDataType_t, plan: *mut cudnnPersistentRNNPlan_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetPersistentRNNPlan( rnnDesc: cudnnRNNDescriptor_t, plan: cudnnPersistentRNNPlan_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyPersistentRNNPlan(plan: cudnnPersistentRNNPlan_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetRNNDescriptor( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, hiddenSize: ::libc::c_int, numLayers: ::libc::c_int, dropoutDesc: cudnnDropoutDescriptor_t, inputMode: cudnnRNNInputMode_t, direction: cudnnDirectionMode_t, mode: cudnnRNNMode_t, algo: cudnnRNNAlgo_t, dataType: cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetRNNDescriptor( cudnnHandle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, hiddenSize: *mut ::libc::c_int, numLayers: *mut ::libc::c_int, dropoutDesc: *mut cudnnDropoutDescriptor_t, inputMode: *mut cudnnRNNInputMode_t, direction: *mut cudnnDirectionMode_t, mode: *mut cudnnRNNMode_t, algo: *mut cudnnRNNAlgo_t, dataType: *mut cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetRNNMatrixMathType( desc: cudnnRNNDescriptor_t, math: cudnnMathType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetRNNWorkspaceSize( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, seqLength: ::libc::c_int, xDesc: *const cudnnTensorDescriptor_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetRNNTrainingReserveSize( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, seqLength: ::libc::c_int, xDesc: *const cudnnTensorDescriptor_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetRNNParamsSize( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, xDesc: cudnnTensorDescriptor_t, sizeInBytes: *mut usize, dataType: cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetRNNLinLayerMatrixParams( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, layer: ::libc::c_int, xDesc: cudnnTensorDescriptor_t, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, linLayerID: ::libc::c_int, linLayerMatDesc: cudnnFilterDescriptor_t, linLayerMat: *mut *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetRNNLinLayerBiasParams( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, layer: ::libc::c_int, xDesc: cudnnTensorDescriptor_t, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, linLayerID: ::libc::c_int, linLayerBiasDesc: cudnnFilterDescriptor_t, linLayerBias: *mut *mut ::libc::c_void, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnRNNForwardInference( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, seqLength: ::libc::c_int, xDesc: *const cudnnTensorDescriptor_t, x: *const ::libc::c_void, hxDesc: cudnnTensorDescriptor_t, hx: *const ::libc::c_void, cxDesc: cudnnTensorDescriptor_t, cx: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, yDesc: *const cudnnTensorDescriptor_t, y: *mut ::libc::c_void, hyDesc: cudnnTensorDescriptor_t, hy: *mut ::libc::c_void, cyDesc: cudnnTensorDescriptor_t, cy: *mut ::libc::c_void, workspace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnRNNForwardTraining( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, seqLength: ::libc::c_int, xDesc: *const cudnnTensorDescriptor_t, x: *const ::libc::c_void, hxDesc: cudnnTensorDescriptor_t, hx: *const ::libc::c_void, cxDesc: cudnnTensorDescriptor_t, cx: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, yDesc: *const cudnnTensorDescriptor_t, y: *mut ::libc::c_void, hyDesc: cudnnTensorDescriptor_t, hy: *mut ::libc::c_void, cyDesc: cudnnTensorDescriptor_t, cy: *mut ::libc::c_void, workspace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, reserveSpace: *mut ::libc::c_void, reserveSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnRNNBackwardData( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, seqLength: ::libc::c_int, yDesc: *const cudnnTensorDescriptor_t, y: *const ::libc::c_void, dyDesc: *const cudnnTensorDescriptor_t, dy: *const ::libc::c_void, dhyDesc: cudnnTensorDescriptor_t, dhy: *const ::libc::c_void, dcyDesc: cudnnTensorDescriptor_t, dcy: *const ::libc::c_void, wDesc: cudnnFilterDescriptor_t, w: *const ::libc::c_void, hxDesc: cudnnTensorDescriptor_t, hx: *const ::libc::c_void, cxDesc: cudnnTensorDescriptor_t, cx: *const ::libc::c_void, dxDesc: *const cudnnTensorDescriptor_t, dx: *mut ::libc::c_void, dhxDesc: cudnnTensorDescriptor_t, dhx: *mut ::libc::c_void, dcxDesc: cudnnTensorDescriptor_t, dcx: *mut ::libc::c_void, workspace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, reserveSpace: *mut ::libc::c_void, reserveSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnRNNBackwardWeights( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, seqLength: ::libc::c_int, xDesc: *const cudnnTensorDescriptor_t, x: *const ::libc::c_void, hxDesc: cudnnTensorDescriptor_t, hx: *const ::libc::c_void, yDesc: *const cudnnTensorDescriptor_t, y: *const ::libc::c_void, workspace: *const ::libc::c_void, workSpaceSizeInBytes: usize, dwDesc: cudnnFilterDescriptor_t, dw: *mut ::libc::c_void, reserveSpace: *const ::libc::c_void, reserveSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } #[repr(u32)] #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)] pub enum cudnnCTCLossAlgo_t { CUDNN_CTC_LOSS_ALGO_DETERMINISTIC = 0, CUDNN_CTC_LOSS_ALGO_NON_DETERMINISTIC = 1, } extern "C" { pub fn cudnnCreateCTCLossDescriptor( ctcLossDesc: *mut cudnnCTCLossDescriptor_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetCTCLossDescriptor( ctcLossDesc: cudnnCTCLossDescriptor_t, compType: cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetCTCLossDescriptor( ctcLossDesc: cudnnCTCLossDescriptor_t, compType: *mut cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnDestroyCTCLossDescriptor(ctcLossDesc: cudnnCTCLossDescriptor_t) -> cudnnStatus_t; } extern "C" { pub fn cudnnCTCLoss( handle: cudnnHandle_t, probsDesc: cudnnTensorDescriptor_t, probs: *const ::libc::c_void, labels: *const ::libc::c_int, labelLengths: *const ::libc::c_int, inputLengths: *const ::libc::c_int, costs: *mut ::libc::c_void, gradientsDesc: cudnnTensorDescriptor_t, gradients: *const ::libc::c_void, algo: cudnnCTCLossAlgo_t, ctcLossDesc: cudnnCTCLossDescriptor_t, workspace: *mut ::libc::c_void, workSpaceSizeInBytes: usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnGetCTCLossWorkspaceSize( handle: cudnnHandle_t, probsDesc: cudnnTensorDescriptor_t, gradientsDesc: cudnnTensorDescriptor_t, labels: *const ::libc::c_int, labelLengths: *const ::libc::c_int, inputLengths: *const ::libc::c_int, algo: cudnnCTCLossAlgo_t, ctcLossDesc: cudnnCTCLossDescriptor_t, sizeInBytes: *mut usize, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetRNNDescriptor_v6( handle: cudnnHandle_t, rnnDesc: cudnnRNNDescriptor_t, hiddenSize: ::libc::c_int, numLayers: ::libc::c_int, dropoutDesc: cudnnDropoutDescriptor_t, inputMode: cudnnRNNInputMode_t, direction: cudnnDirectionMode_t, mode: cudnnRNNMode_t, algo: cudnnRNNAlgo_t, dataType: cudnnDataType_t, ) -> cudnnStatus_t; } extern "C" { pub fn cudnnSetRNNDescriptor_v5( rnnDesc: cudnnRNNDescriptor_t, hiddenSize: ::libc::c_int, numLayers: ::libc::c_int, dropoutDesc: cudnnDropoutDescriptor_t, inputMode: cudnnRNNInputMode_t, direction: cudnnDirectionMode_t, mode: cudnnRNNMode_t, dataType: cudnnDataType_t, ) -> cudnnStatus_t; }