62 lines
2.4 KiB
C++
62 lines
2.4 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 If ``x`` is a vector (1-D tensor), a 2-D square tensor with the
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* elements of ``x`` as the diagonal is returned.
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* If ``x`` is a matrix (2-D tensor), a 1-D tensor with the diagonal
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* elements of ``x`` is returned.
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*
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* The argument ``offset`` controls the diagonal offset:
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* If ``offset`` = 0, it is the main diagonal.
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* If ``offset`` > 0, it is superdiagonal. If ``offset`` < 0,
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* it is subdiagonal.
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* @param ctx device context
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* @param x The input tensor. Its shape is either 1-D or 2-D.
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* @param offset The diagonal offset. A positive value represents
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* superdiagonal, 0 represents the main diagonal, and a
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* negative value represents subdiagonal.
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* @param padding_value Use this value to fill the area outside the specified
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* diagonal band. Only takes effect when the input is a
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* 1-D Tensor. The default value is 0.
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* @param out The output tensor. A square matrix or a vector.
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*/
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template <typename T, typename Context>
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void DiagKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int offset,
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float padding_value,
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DenseTensor* out);
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template <typename T, typename Context>
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DenseTensor Diag(const Context& dev_ctx,
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const DenseTensor& x,
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int offset,
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float padding_value) {
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DenseTensor dense_out;
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MetaTensor meta_out(&dense_out);
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DiagInferMeta(x, offset, padding_value, &meta_out);
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DiagKernel<T, Context>(dev_ctx, x, offset, padding_value, &dense_out);
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return dense_out;
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}
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} // namespace phi
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