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#include "ctranslate2/ops/conv1d.h"
#include "cuda/utils.h"
namespace ctranslate2 {
namespace ops {
template <Device D, typename T>
void Conv1D::compute(const StorageView& input,
const StorageView& weight,
const StorageView* bias,
StorageView& output) const {
#ifndef CT2_WITH_CUDNN
(void)input;
(void)weight;
(void)bias;
(void)output;
throw std::runtime_error("Conv1D on GPU currently requires the cuDNN library "
"which is not integrated in this build");
#else
const int batch_size = input.dim(0);
const int in_channels = input.dim(1);
const int input_length = input.dim(2);
const int output_length = output.dim(2);
const int out_channels = weight.dim(0);
const int kernel_size = weight.dim(2);
cudnnDataType_t data_type = cuda::get_cudnn_data_type(input.dtype());
cudnnTensorDescriptor_t input_desc;
CUDNN_CHECK(cudnnCreateTensorDescriptor(&input_desc));
CUDNN_CHECK(cudnnSetTensor4dDescriptor(input_desc, CUDNN_TENSOR_NCHW, data_type,
batch_size, in_channels, 1, input_length));
cudnnTensorDescriptor_t output_desc;
CUDNN_CHECK(cudnnCreateTensorDescriptor(&output_desc));
CUDNN_CHECK(cudnnSetTensor4dDescriptor(output_desc, CUDNN_TENSOR_NCHW, data_type,
batch_size, out_channels, 1, output_length));
cudnnFilterDescriptor_t weight_desc;
CUDNN_CHECK(cudnnCreateFilterDescriptor(&weight_desc));
CUDNN_CHECK(cudnnSetFilter4dDescriptor(weight_desc, data_type, CUDNN_TENSOR_NCHW,
out_channels, in_channels, 1, kernel_size));
cudnnConvolutionDescriptor_t conv_desc;
CUDNN_CHECK(cudnnCreateConvolutionDescriptor(&conv_desc));
CUDNN_CHECK(cudnnSetConvolution2dDescriptor(conv_desc,
/*pad_h=*/0, /*pad_w=*/_padding,
/*stride_h=*/1, /*stride_w=*/_stride,
/*dilation_h=*/1, /*dilation_w=*/_dilation,
CUDNN_CROSS_CORRELATION,
data_type));
cudnnHandle_t handle = cuda::get_cudnn_handle();
cudnnConvolutionFwdAlgo_t algo = (bias
? CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM
: CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM);
size_t workspace_size = 0;
void* workspace = nullptr;
CUDNN_CHECK(cudnnGetConvolutionForwardWorkspaceSize(handle,
input_desc,
weight_desc,
conv_desc,
output_desc,
algo,
&workspace_size));
if (workspace_size > 0)
workspace = get_allocator<Device::CUDA>().allocate(workspace_size);
float alpha = 1;
float beta = 0;
if (bias) {
cudnnTensorDescriptor_t bias_desc;
CUDNN_CHECK(cudnnCreateTensorDescriptor(&bias_desc));
CUDNN_CHECK(cudnnSetTensor4dDescriptor(bias_desc, CUDNN_TENSOR_NCHW, data_type,
1, out_channels, 1, 1));
cudnnActivationDescriptor_t activation_desc;
CUDNN_CHECK(cudnnCreateActivationDescriptor(&activation_desc));
CUDNN_CHECK(cudnnSetActivationDescriptor(activation_desc,
CUDNN_ACTIVATION_IDENTITY,
CUDNN_NOT_PROPAGATE_NAN,
/*coef=*/0));
CUDNN_CHECK(cudnnConvolutionBiasActivationForward(handle,
&alpha,
input_desc,
input.buffer(),
weight_desc,
weight.buffer(),
conv_desc,
algo,
workspace,
workspace_size,
&beta,
output_desc,
output.buffer(),
bias_desc,
bias->buffer(),
activation_desc,
output_desc,
output.buffer()));
CUDNN_CHECK(cudnnDestroyActivationDescriptor(activation_desc));
CUDNN_CHECK(cudnnDestroyTensorDescriptor(bias_desc));
} else {
CUDNN_CHECK(cudnnConvolutionForward(handle,
&alpha,
input_desc,
input.buffer(),
weight_desc,
weight.buffer(),
conv_desc,
algo,
workspace,
workspace_size,
&beta,
output_desc,
output.buffer()));
}
if (workspace)
get_allocator<Device::CUDA>().free(workspace);
CUDNN_CHECK(cudnnDestroyConvolutionDescriptor(conv_desc));
CUDNN_CHECK(cudnnDestroyFilterDescriptor(weight_desc));
CUDNN_CHECK(cudnnDestroyTensorDescriptor(input_desc));
CUDNN_CHECK(cudnnDestroyTensorDescriptor(output_desc));
#endif
}
#define DECLARE_IMPL(T) \
template void \
Conv1D::compute<Device::CUDA, T>(const StorageView& input, \
const StorageView& weight, \
const StorageView* bias, \
StorageView& output) const;
DECLARE_IMPL(float)
DECLARE_IMPL(float16_t)
}
}
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