wehub-resource-sync
89 lines
4.1 KiB
C++
89 lines
4.1 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <string>
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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template <typename T, typename Context>
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void BatchNormGradFunctor(const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& scale,
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const optional<DenseTensor>& bias,
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const optional<DenseTensor>& mean,
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const optional<DenseTensor>& variance,
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const DenseTensor& saved_mean,
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const DenseTensor& saved_variance,
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const optional<DenseTensor>& reserve_space,
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const DenseTensor& y_grad,
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float momentum,
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float epsilon,
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const std::string& data_layout,
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bool is_test,
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bool use_global_stats,
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bool trainable_statistics,
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bool is_inplace,
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DenseTensor* x_grad,
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DenseTensor* scale_grad,
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DenseTensor* bias_grad);
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template <typename T, typename Context>
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void BatchNormGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& scale,
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const optional<DenseTensor>& bias,
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const optional<DenseTensor>& mean,
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const optional<DenseTensor>& variance,
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const DenseTensor& saved_mean,
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const DenseTensor& saved_variance,
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const optional<DenseTensor>& reserve_space,
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const DenseTensor& y_grad,
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float momentum,
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float epsilon,
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const std::string& data_layout,
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bool is_test,
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bool use_global_stats,
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bool trainable_statistics,
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DenseTensor* x_grad,
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DenseTensor* scale_grad,
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DenseTensor* bias_grad);
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template <typename T, typename Context>
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void BatchNormDoubleGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& scale,
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const optional<DenseTensor>& mean,
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const optional<DenseTensor>& variance,
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const DenseTensor& saved_mean,
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const DenseTensor& saved_variance,
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const DenseTensor& y_grad,
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const optional<DenseTensor>& x_grad_grad,
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const optional<DenseTensor>& scale_grad_grad,
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const optional<DenseTensor>& bias_grad_grad,
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float momentum,
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float epsilon,
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const std::string& data_layout,
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bool is_test,
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bool use_global_stats,
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bool trainable_statistics,
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bool fuse_with_relu,
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DenseTensor* x_grad,
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DenseTensor* scale_grad,
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DenseTensor* y_grad_grad);
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} // namespace phi
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