Struct rcublas_sys::cudaFuncAttributes [−][src]
#[repr(C)]pub struct cudaFuncAttributes {
pub sharedSizeBytes: usize,
pub constSizeBytes: usize,
pub localSizeBytes: usize,
pub maxThreadsPerBlock: c_int,
pub numRegs: c_int,
pub ptxVersion: c_int,
pub binaryVersion: c_int,
pub cacheModeCA: c_int,
pub maxDynamicSharedSizeBytes: c_int,
pub preferredShmemCarveout: c_int,
}
Expand description
CUDA function attributes
Fields
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.
constSizeBytes: usize
The size in bytes of user-allocated constant memory required by this function.
localSizeBytes: usize
The size in bytes of local memory used by each thread of this function.
maxThreadsPerBlock: c_int
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.
numRegs: c_int
The number of registers used by each thread of this function.
ptxVersion: 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.
binaryVersion: 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.
cacheModeCA: c_int
The attribute to indicate whether the function has been compiled with user specified option “-Xptxas –dlcm=ca” set.
The maximum size in bytes of dynamic shared memory per block for this function. Any launch must have a dynamic shared memory size smaller than this value.
preferredShmemCarveout: c_int
On devices where the L1 cache and shared memory use the same hardware resources, this sets the shared memory carveout preference, in percent of the maximum shared memory. Refer to ::cudaDevAttrMaxSharedMemoryPerMultiprocessor. This is only a hint, and the driver can choose a different ratio if required to execute the function. See ::cudaFuncSetAttribute
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for cudaFuncAttributes
impl Send for cudaFuncAttributes
impl Sync for cudaFuncAttributes
impl Unpin for cudaFuncAttributes
impl UnwindSafe for cudaFuncAttributes
Blanket Implementations
Mutably borrows from an owned value. Read more