wehub-resource-sync
65 lines
2.5 KiB
C++
65 lines
2.5 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 "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/infermeta/unary.h"
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namespace phi {
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/**
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* @brief Return a partial view of input with the its diagonal elements
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* of the input tensor. The behavior of this operator is similar to
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* how `numpy.diagonal` works.
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* @param ctx device context
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* @param x the input tensor, from which the diagonals are taken
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* @param offset offset of the diagonal from the main diagonal. Can be both
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* positive and negative
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* @param axis1 the first axis of the 2-D planes from which the diagonals
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* should be taken. Can be either positive or negative
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* @param axis2 the second axis of the 2-D planes from which the diagonals
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* should be taken. Can be either positive or negative
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* @param out the partial view of input with the its diagonal elements
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*/
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template <typename T, typename Context>
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void DiagonalKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int offset,
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int axis1,
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int axis2,
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DenseTensor* out);
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template <typename Context>
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void DiagonalStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int offset,
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int axis1,
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int axis2,
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DenseTensor* out);
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template <typename T, typename Context>
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DenseTensor Diagonal(const Context& dev_ctx,
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const DenseTensor& x,
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int offset,
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int axis1,
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int axis2) {
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DenseTensor dense_out;
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MetaTensor meta_out(&dense_out);
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DiagonalInferMeta(x, offset, axis1, axis2, &meta_out);
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DiagonalKernel<T, Context>(dev_ctx, x, offset, axis1, axis2, &dense_out);
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return dense_out;
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}
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} // namespace phi
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