wehub-resource-sync
62 lines
2.1 KiB
C++
62 lines
2.1 KiB
C++
// Copyright (c) 2023 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 "paddle/phi/common/int_array.h"
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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 DataKernel(const Context& dev_ctx,
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const std::string& name,
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const phi::IntArray& shape,
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phi::DataType data_type,
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DenseTensor* out);
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template <typename T, typename Context>
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void ShadowOutputKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out);
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template <typename Context>
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void ShadowFeedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int dst_place_type,
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DenseTensor* out);
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template <typename Context>
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void ShadowFeedTensorsKernel(const Context& dev_ctx,
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const std::vector<const DenseTensor*>& xs,
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int dst_place_type,
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std::vector<DenseTensor*> outs);
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template <typename Context>
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void PrintKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int first_n,
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const std::string& message,
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int summarize,
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bool print_tensor_name,
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bool print_tensor_type,
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bool print_tensor_shape,
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bool print_tensor_layout,
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bool print_tensor_lod,
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const std::string& print_phase,
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bool is_forward,
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DenseTensor* out);
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} // namespace phi
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