wehub-resource-sync
62 lines
2.2 KiB
C++
62 lines
2.2 KiB
C++
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// 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/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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namespace phi {
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template <typename T, typename Context>
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void UnsqueezeKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& axes,
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DenseTensor* out);
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template <typename T, typename Context>
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void UnsqueezeWithXShapeKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& axes,
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DenseTensor* out,
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DenseTensor* xshape);
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template <typename Context>
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void UnsqueezeStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& axes,
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DenseTensor* out);
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template <typename Context>
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void UnsqueezeWithXShapeStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& axes,
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DenseTensor* out,
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DenseTensor* xshape);
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template <typename T, typename Context>
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void Unsqueeze(const Context& dev_ctx,
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const DenseTensor& x,
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const IntArray& axes,
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DenseTensor* out,
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DenseTensor* xshape UNUSED) {
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MetaTensor meta_out(out);
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UnsqueezeInferMeta(x, axes, &meta_out);
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UnsqueezeKernel<T, Context>(dev_ctx, x, axes, out);
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}
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} // namespace phi
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