61 lines
2.0 KiB
C++
61 lines
2.0 KiB
C++
// Copyright (c) 2018 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 <vector>
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#include "paddle/phi/backends/onednn/onednn_helper.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_factory.h"
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#include "paddle/phi/core/platform/device_context.h"
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#include "paddle/phi/kernels/funcs/data_layout_transform.h"
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namespace paddle {
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namespace framework {
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struct CastDataLayout {
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CastDataLayout(const phi::DeviceContext* ctx,
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const std::vector<int>& axis,
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const phi::DenseTensor& in,
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phi::DenseTensor* out)
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: in_(in), out_(out), ctx_(ctx), axis_(axis) {}
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const DenseTensor in_;
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phi::DenseTensor* out_;
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const phi::DeviceContext* ctx_;
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const std::vector<int> axis_;
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template <typename T>
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void apply();
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};
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std::vector<int> GetAxis(const DataLayout& from, const DataLayout& to);
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TEST_API void TransDataLayout(const phi::KernelKey& kernel_type_for_var,
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const phi::KernelKey& expected_kernel_type,
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const phi::DenseTensor& in,
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phi::DenseTensor* out,
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const phi::Place& place);
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void TransDataLayout(phi::DataLayout from_layout,
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phi::DataLayout to_layout,
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phi::Place place,
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const phi::DenseTensor& in,
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phi::DenseTensor* out);
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} // namespace framework
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} // namespace paddle
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