wehub-resource-sync
40 lines
1.4 KiB
C++
40 lines
1.4 KiB
C++
/* Copyright (c) 2023 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. */
|
|
|
|
#pragma once
|
|
|
|
#include "paddle/phi/kernels/funcs/sequence_pooling.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void SequencePoolGradKernel(const Context& dev_ctx,
|
|
const DenseTensor& x UNUSED,
|
|
const optional<DenseTensor>& max_index,
|
|
const DenseTensor& out_grad,
|
|
bool is_test UNUSED,
|
|
const std::string& pooltype,
|
|
float pad_value UNUSED,
|
|
DenseTensor* x_grad) {
|
|
const DenseTensor* index = nullptr;
|
|
if (pooltype == "MAX") {
|
|
index = max_index.get_ptr();
|
|
}
|
|
dev_ctx.template Alloc<T>(x_grad);
|
|
funcs::SequencePoolGradFunctor<Context, T> pool;
|
|
pool(dev_ctx, pooltype, out_grad, x_grad, index);
|
|
}
|
|
|
|
} // namespace phi
|