80 lines
2.7 KiB
C++
80 lines
2.7 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 <vector>
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/infermeta/unary.h"
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#include "paddle/phi/kernels/empty_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void TransposeKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int>& axis,
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DenseTensor* out);
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template <typename Context>
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void TransposeStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int>& axis,
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DenseTensor* out);
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template <typename T, typename Context>
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void Transpose(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int>& axis,
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DenseTensor* dense_out) {
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MetaTensor meta_out(dense_out);
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TransposeInferMeta(x, axis, &meta_out);
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// do not call TransposeStridedKernel, because some other kernels call
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// Transpose directly
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if (x.has_allocation() && x.capacity() > 0) {
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TransposeKernel<T, Context>(dev_ctx, x, axis, dense_out);
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}
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}
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template <typename T, typename Context>
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DenseTensor Transpose(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int>& axis) {
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DenseTensor dense_out;
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Transpose<T, Context>(dev_ctx, x, axis, &dense_out);
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return dense_out;
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}
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template <typename T, typename Context>
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DenseTensor TransposeLast2Dim(const Context& dev_ctx, const DenseTensor& x) {
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size_t rank = x.dims().size();
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std::vector<int> axis(rank);
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for (size_t i = 0; i < rank; ++i) {
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axis[i] = i;
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}
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std::swap(axis[rank - 1], axis[rank - 2]);
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return Transpose<T, Context>(dev_ctx, x, axis);
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}
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#ifdef _WIN32
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#define INSTANTIATE_TRANSPOSE_KERNEL(type, context) \
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template PADDLE_API void TransposeKernel<type, context>( \
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const context&, \
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const DenseTensor&, \
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const std::vector<int>&, \
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DenseTensor*);
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#endif
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} // namespace phi
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