43 lines
1.7 KiB
C++
43 lines
1.7 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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namespace phi {
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/**
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* @brief Computes the Cholesky decomposition of one symmetric positive-definite
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* matrix or batches of symmetric positive-definite matrices.
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* @param ctx device context
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* @param x The input tensor of cholesky op. Its shape should be
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* [*, M, M] where * is zero or more batch dimensions,
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* and matrices on the inner-most 2 dimensions all
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* should be symmetric positive-definite
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* @param upper flag indicating whether to return upper or lower triangular
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* matrices
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* @param out The output tensor of cholesky kernel. It has the same
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* shape as the input, and it is composed of upper-triangular or
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* lower-triangular Cholesky factors of each of the individual
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* matrices
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*/
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template <typename T, typename Context>
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void CholeskyKernel(const Context& dev_ctx,
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const DenseTensor& x,
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bool upper,
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DenseTensor* out);
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} // namespace phi
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