wehub-resource-sync
62 lines
1.8 KiB
C++
62 lines
1.8 KiB
C++
/* Copyright (c) 2016 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/core/dense_tensor.h"
|
|
|
|
namespace phi {
|
|
namespace funcs {
|
|
|
|
template <typename DeviceContext, typename T, typename Enable = void>
|
|
class SoftmaxFunctor {
|
|
public:
|
|
void operator()(const DeviceContext& dev_ctx,
|
|
const int axis_dim,
|
|
const DenseTensor* X,
|
|
DenseTensor* Y);
|
|
};
|
|
|
|
template <typename DeviceContext, typename T, typename Enable = void>
|
|
class SoftmaxGradFunctor {
|
|
public:
|
|
void operator()(const DeviceContext& dev_ctx,
|
|
const int axis_dim,
|
|
const DenseTensor* y,
|
|
const DenseTensor* y_grad,
|
|
DenseTensor* x_grad);
|
|
};
|
|
|
|
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
|
|
template <typename T, typename DeviceContext>
|
|
class SoftmaxCUDNNFunctor {
|
|
public:
|
|
void operator()(const DeviceContext& dev_ctx,
|
|
const DenseTensor* X,
|
|
DenseTensor* Y);
|
|
};
|
|
|
|
template <typename T, typename DeviceContext>
|
|
class SoftmaxGradCUDNNFunctor {
|
|
public:
|
|
void operator()(const DeviceContext& dev_ctx,
|
|
const DenseTensor* Y,
|
|
const DenseTensor* y_grad,
|
|
DenseTensor* x_grad);
|
|
};
|
|
|
|
#endif
|
|
|
|
} // namespace funcs
|
|
} // namespace phi
|