wehub-resource-sync
72 lines
2.4 KiB
Plaintext
72 lines
2.4 KiB
Plaintext
// 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/multiplex_grad_kernel.h"
|
|
|
|
#include "paddle/phi/backends/gpu/gpu_context.h"
|
|
#include "paddle/phi/common/memory_utils.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/core/tensor_utils.h"
|
|
#include "paddle/phi/kernels/funcs/eigen/common.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void MultiplexGradKernel(const Context& dev_ctx,
|
|
const DenseTensor& ids,
|
|
const DenseTensor& out_grad,
|
|
std::vector<DenseTensor*> ins_grad) {
|
|
size_t idx = -1UL;
|
|
for (size_t i = 0; i < ins_grad.size(); i++) {
|
|
if (ins_grad[i]) {
|
|
dev_ctx.template Alloc<T>(ins_grad[i]);
|
|
auto t = EigenVector<T>::Flatten(*ins_grad[i]);
|
|
t.device(*dev_ctx.eigen_device()) = t.constant(static_cast<T>(0));
|
|
idx = i;
|
|
}
|
|
}
|
|
if (idx == -1UL) return;
|
|
|
|
auto rows = ins_grad[idx]->dims()[0];
|
|
auto cols = ins_grad[idx]->numel() / rows;
|
|
DenseTensor index_t_cpu;
|
|
Copy(dev_ctx, ids, CPUPlace(), true, &index_t_cpu);
|
|
auto* index = index_t_cpu.data<int32_t>();
|
|
auto stream = dev_ctx.stream();
|
|
for (auto i = 0; i < rows; i++) {
|
|
size_t k = static_cast<size_t>(index[i]);
|
|
if (ins_grad[k]) {
|
|
memory_utils::Copy(dev_ctx.GetPlace(),
|
|
ins_grad[k]->data<T>() + i * cols,
|
|
dev_ctx.GetPlace(),
|
|
out_grad.data<T>() + i * cols,
|
|
cols * sizeof(T),
|
|
stream);
|
|
}
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(multiplex_grad,
|
|
GPU,
|
|
ALL_LAYOUT,
|
|
phi::MultiplexGradKernel,
|
|
float,
|
|
double,
|
|
int,
|
|
int64_t,
|
|
phi::complex64,
|
|
phi::complex128) {}
|