wehub-resource-sync
86 lines
2.7 KiB
C++
86 lines
2.7 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include "paddle/phi/kernels/array_grad_kernel.h"
|
|
|
|
#include "paddle/common/layout.h"
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/concat_grad_kernel.h"
|
|
#include "paddle/phi/kernels/stack_grad_kernel.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void TensorToArrayKernel(const Context& dev_ctx,
|
|
const TensorArray& x,
|
|
const DenseTensor& out_grad,
|
|
int axis,
|
|
bool use_stack,
|
|
TensorArray* x_grad) {
|
|
std::vector<DenseTensor> tmp_inputs(x.size());
|
|
std::vector<const DenseTensor*> inputs;
|
|
|
|
std::vector<DenseTensor*> inputs_grad;
|
|
std::vector<DenseTensor> tmp_inputs_grad(x.size());
|
|
|
|
for (size_t i = 0; i < x.size(); i++) {
|
|
tmp_inputs[i].ShareDataWith(x[i]);
|
|
inputs.push_back(&tmp_inputs[i]);
|
|
inputs_grad.push_back(&tmp_inputs_grad[i]);
|
|
inputs_grad[i]->set_meta(x[i].meta());
|
|
}
|
|
|
|
if (use_stack) {
|
|
StackGradKernel<T, Context>(dev_ctx, out_grad, axis, inputs_grad);
|
|
} else {
|
|
ConcatGradKernel<T, Context>(dev_ctx, inputs, out_grad, axis, inputs_grad);
|
|
}
|
|
|
|
for (size_t i = 0; i < tmp_inputs_grad.size(); i++) {
|
|
inputs_grad[i] = nullptr;
|
|
x_grad->push_back(tmp_inputs_grad[i]);
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(tensor_to_array,
|
|
CPU,
|
|
ALL_LAYOUT,
|
|
phi::TensorToArrayKernel,
|
|
bool,
|
|
int,
|
|
int64_t,
|
|
float,
|
|
double,
|
|
phi::float16,
|
|
phi::complex64,
|
|
phi::complex128) {}
|
|
|
|
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
|
|
PD_REGISTER_KERNEL(tensor_to_array,
|
|
GPU,
|
|
ALL_LAYOUT,
|
|
phi::TensorToArrayKernel,
|
|
bool,
|
|
int,
|
|
int64_t,
|
|
float,
|
|
double,
|
|
phi::float16,
|
|
phi::complex64,
|
|
phi::complex128) {}
|
|
#endif
|