wehub-resource-sync
54 lines
2.0 KiB
C++
54 lines
2.0 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/reduce_sum_grad_kernel.h"
|
|
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/onednn/reduce_kernel_impl.h"
|
|
#include "paddle/phi/kernels/reduce_kernel_impl.h"
|
|
|
|
namespace phi {
|
|
template <typename T, typename Context>
|
|
void SumGradKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const DenseTensor& out_grad,
|
|
const IntArray& dims,
|
|
bool keep_dim,
|
|
bool reduce_all,
|
|
DenseTensor* x_grad) {
|
|
if (x_grad && x_grad->numel() == 0) {
|
|
dev_ctx.template Alloc<T>(x_grad);
|
|
return;
|
|
}
|
|
reduce_all = recompute_reduce_all(x, dims, reduce_all);
|
|
ReduceGradKernel<T, Context>(dev_ctx,
|
|
x,
|
|
out_grad,
|
|
dims,
|
|
keep_dim,
|
|
reduce_all,
|
|
x_grad,
|
|
dnnl::algorithm::binary_add,
|
|
dnnl::algorithm::reduction_sum,
|
|
0.0f,
|
|
1.0f);
|
|
}
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(
|
|
sum_grad, OneDNN, ONEDNN, phi::SumGradKernel, float, phi::bfloat16) {
|
|
kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
|
|
kernel->check_if_onednn_kernel_support_ = phi::ReduceGradCheckIfOneDNNSupport;
|
|
}
|