wehub-resource-sync
67 lines
2.2 KiB
C++
67 lines
2.2 KiB
C++
/* Copyright (c) 2021 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/common/int_array.h"
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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 ReshapeKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& shape,
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DenseTensor* out);
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// FIXME(dev): Need to deprecate this kernel while
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// cleaning old IR system.
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template <typename Context>
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void ReshapeWithXShapeKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& shape,
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DenseTensor* out,
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DenseTensor* xshape);
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template <typename Context>
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void ReshapeStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& shape,
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DenseTensor* out);
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template <typename T, typename Context>
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void Reshape(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int64_t>& shape,
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DenseTensor* out) {
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MetaTensor meta_out(out);
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InferMetaFromVecValue(x, shape, &meta_out);
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if (x.initialized()) {
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ReshapeKernel<Context>(dev_ctx, x, IntArray(shape), out);
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}
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}
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template <typename T, typename Context>
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DenseTensor Reshape(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int64_t>& shape) {
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DenseTensor dense_out;
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Reshape<T, Context>(dev_ctx, x, shape, &dense_out);
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return dense_out;
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}
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} // namespace phi
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