44 lines
1.5 KiB
C++
44 lines
1.5 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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#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 Context>
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void TransferLayoutKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int src_layout,
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int dst_layout,
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DenseTensor* out);
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template <typename Context>
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DenseTensor TransferLayout(const Context& dev_ctx,
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const DenseTensor& x,
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DataLayout dst_layout) {
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DenseTensor dense_out = Empty(dev_ctx, {x.dtype(), x.dims(), dst_layout});
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TransferLayoutKernel<Context>(dev_ctx,
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x,
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static_cast<int>(x.layout()),
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static_cast<int>(dst_layout),
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&dense_out);
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return dense_out;
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}
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} // namespace phi
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