42 lines
1.5 KiB
C++
42 lines
1.5 KiB
C++
/* Copyright (c) 2023 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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#include "paddle/phi/core/visit_type.h"
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#include "paddle/phi/kernels/empty_kernel.h"
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namespace phi {
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/**
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* @brief Computes a contiguous in memory tensor containing the same data as
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* input tensor.
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* @param ctx device context
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* @param input Source tensor need be computed
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* @param out The contiguous in memory tensor
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*/
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template <typename T, typename Context>
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void ContiguousKernel(const Context& dev_ctx,
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const DenseTensor& input,
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DenseTensor* out);
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template <typename T, typename Context>
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DenseTensor Contiguous(const Context& dev_ctx, const DenseTensor& input) {
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DenseTensor dense_out;
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MetaTensor meta_input(input);
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MetaTensor meta_out(&dense_out);
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UnchangedInferMeta(meta_input, &meta_out);
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ContiguousKernel<T, Context>(dev_ctx, input, &dense_out);
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return dense_out;
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}
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} // namespace phi
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