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use ::{API, Error};
use ffi::*;
impl API {
pub fn activation_forward(
handle: cudnnHandle_t,
mode: cudnnActivationMode_t,
alpha: *const ::libc::c_void,
src_desc: cudnnTensorDescriptor_t,
src_data: *const ::libc::c_void,
beta: *const ::libc::c_void,
dest_desc: cudnnTensorDescriptor_t,
dest_data: *mut ::libc::c_void
) -> Result<(), Error> {
unsafe { API::ffi_activation_forward(handle, mode, alpha, src_desc, src_data, beta, dest_desc, dest_data) }
}
pub fn activation_backward(
handle: cudnnHandle_t,
mode: cudnnActivationMode_t,
alpha: *const ::libc::c_void,
src_desc: cudnnTensorDescriptor_t,
src_data: *const ::libc::c_void,
src_diff_desc: cudnnTensorDescriptor_t,
src_diff_data: *const ::libc::c_void,
beta: *const ::libc::c_void,
dest_desc: cudnnTensorDescriptor_t,
dest_data: *const ::libc::c_void,
dest_diff_desc: cudnnTensorDescriptor_t,
dest_diff_data: *mut ::libc::c_void
) -> Result<(), Error> {
unsafe { API::ffi_activation_backward(handle, mode, alpha, src_desc, src_data, src_diff_desc, src_diff_data, beta, dest_desc, dest_data, dest_diff_desc, dest_diff_data) }
}
unsafe fn ffi_activation_forward(
handle: cudnnHandle_t,
mode: cudnnActivationMode_t,
alpha: *const ::libc::c_void,
src_desc: cudnnTensorDescriptor_t,
src_data: *const ::libc::c_void,
beta: *const ::libc::c_void,
dest_desc: cudnnTensorDescriptor_t,
dest_data: *mut ::libc::c_void
) -> Result<(), Error> {
match cudnnActivationForward(handle, mode, alpha, src_desc, src_data, beta, dest_desc, dest_data) {
cudnnStatus_t::CUDNN_STATUS_SUCCESS => Ok(()),
cudnnStatus_t::CUDNN_STATUS_BAD_PARAM => Err(Error::BadParam("`mode` is invalid or dimensions of input and output tensor differ or `data_type` or strides of the tensors differ.")),
cudnnStatus_t::CUDNN_STATUS_EXECUTION_FAILED => Err(Error::ExecutionFailed("Execution failed to launch on GPU.")),
_ => Err(Error::Unknown("Unable to compute activation forward.")),
}
}
unsafe fn ffi_activation_backward(
handle: cudnnHandle_t,
mode: cudnnActivationMode_t,
alpha: *const ::libc::c_void,
src_desc: cudnnTensorDescriptor_t,
src_data: *const ::libc::c_void,
src_diff_desc: cudnnTensorDescriptor_t,
src_diff_data: *const ::libc::c_void,
beta: *const ::libc::c_void,
dest_desc: cudnnTensorDescriptor_t,
dest_data: *const ::libc::c_void,
dest_diff_desc: cudnnTensorDescriptor_t,
dest_diff_data: *mut ::libc::c_void
) -> Result<(), Error> {
match cudnnActivationBackward(handle, mode, alpha, src_desc, src_data, src_diff_desc, src_diff_data, dest_desc, dest_data, beta, dest_diff_desc, dest_diff_data) {
cudnnStatus_t::CUDNN_STATUS_SUCCESS => Ok(()),
cudnnStatus_t::CUDNN_STATUS_BAD_PARAM => Err(Error::BadParam("`mode` is invalid or dimensions of input and output tensor differ or `data_type` or strides of the tensors differ.")),
cudnnStatus_t::CUDNN_STATUS_NOT_SUPPORTED => Err(Error::NotSupported("`mode` is invalid or dimensions of input and output tensor differ or `data_type` or strides of the tensors differ.")),
cudnnStatus_t::CUDNN_STATUS_EXECUTION_FAILED => Err(Error::ExecutionFailed("Execution failed to launch on GPU.")),
_ => Err(Error::Unknown("Unable to compute activation backward.")),
}
}
}