chore: import upstream snapshot with attribution
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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 <utility>
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#include <vector>
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#include "paddle/phi/common/scalar.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/kernels/funcs/padding.h"
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namespace phi {
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template <typename T, typename Context>
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void PadKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const std::vector<int>& paddings,
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const Scalar& pad_value,
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DenseTensor* out) {
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dev_ctx.template Alloc<T>(out);
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if (x.numel() == 0) {
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if (out) {
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Full<T, Context>(dev_ctx, out->dims(), pad_value, out);
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}
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return;
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}
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int rank = x.dims().size();
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funcs::PaddingFunctor<Context, T>(
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rank, dev_ctx, paddings, pad_value.to<T>(), x, out);
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}
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} // namespace phi
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