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bugfix:SigmoidCrossEntropyWithLogitsGrad need multiply dout

This commit is contained in:
lizhenyu 2020-08-17 15:45:43 +08:00
parent f41ca6b5c6
commit d667d6ee92
3 changed files with 13 additions and 11 deletions
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16
mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/sigmoid_cross_entropy_with_logits_grad_impl.cu
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@ -18,24 +18,24 @@
template <typename T, typename S>
__global__ void SigmoidCrossEntropyWithLogitsGradKernel(const size_t size, const T *logits, const S *labels,
T *outputs) {
const T *dout_addr, T *outputs) {
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < size; i += gridDim.x * blockDim.x) {
if (logits[i] >= 0) {
outputs[i] = 1. / (1. + exp(-logits[i])) - labels[i];
outputs[i] = (1. / (1. + exp(-logits[i])) - labels[i]) * dout_addr[i];
} else {
const T exp_val = exp(logits[i]);
outputs[i] = exp_val / (1. + exp_val) - labels[i];
outputs[i] = (exp_val / (1. + exp_val) - labels[i]) * dout_addr[i];
}
}
}
template <typename T, typename S>
void SigmoidCrossEntropyWithLogitsGrad(const size_t size, const T *logits, const S *labels, T *outputs,
cudaStream_t cuda_stream) {
void SigmoidCrossEntropyWithLogitsGrad(const size_t size, const T *logits, const S *labels, const T *dout_addr,
T *outputs, cudaStream_t cuda_stream) {
SigmoidCrossEntropyWithLogitsGradKernel<<<GET_BLOCKS(size), GET_THREADS, 0, cuda_stream>>>(size, logits, labels,
outputs);
dout_addr, outputs);
}
template void SigmoidCrossEntropyWithLogitsGrad<float, float>(const size_t size, const float *logits,
const float *labels, float *outputs,
cudaStream_t cuda_stream);
const float *labels, const float *dout_addr,
float *outputs, cudaStream_t cuda_stream);

4
mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/sigmoid_cross_entropy_with_logits_grad_impl.cuh
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@ -19,7 +19,7 @@
#include "runtime/device/gpu/cuda_common.h"
template <typename T, typename S>
void SigmoidCrossEntropyWithLogitsGrad(const size_t size, const T *logits, const S *labels, T *outputs,
cudaStream_t cuda_stream);
void SigmoidCrossEntropyWithLogitsGrad(const size_t size, const T *logits, const S *labels, const T *dout_addr,
T *outputs, cudaStream_t cuda_stream);
#endif // MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMP_SIGMOID_CROSS_ENTROPY_WITH_LOGITS_GRAD_IMPL_H_

4
mindspore/ccsrc/backend/kernel_compiler/gpu/nn/sigmoid_cross_entropy_with_logits_grad_gpu_kernel.h
View File

@ -38,9 +38,10 @@ class SigmoidCrossEntropyWithLogitsGradGpuKernel : public GpuKernel {
const std::vector<AddressPtr> &outputs, void *stream_ptr) override {
T *logits_addr = GetDeviceAddress<T>(inputs, 0);
S *labels_addr = GetDeviceAddress<S>(inputs, 1);
T *dout_addr = GetDeviceAddress<T>(inputs, 2);
T *outputs_addr = GetDeviceAddress<T>(outputs, 0);
SigmoidCrossEntropyWithLogitsGrad(inputs[0]->size / sizeof(T), logits_addr, labels_addr, outputs_addr,
SigmoidCrossEntropyWithLogitsGrad(inputs[0]->size / sizeof(T), logits_addr, labels_addr, dout_addr, outputs_addr,
reinterpret_cast<cudaStream_t>(stream_ptr));
return true;
}
@ -78,6 +79,7 @@ class SigmoidCrossEntropyWithLogitsGradGpuKernel : public GpuKernel {
void InitSizeLists() override {
input_size_list_.push_back(logits_size_);
input_size_list_.push_back(labels_size_);
input_size_list_.push_back(logits_size_);
output_size_list_.push_back(outputs_size_);
}