chore: import upstream snapshot with attribution
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/* 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/core/sparse_coo_tensor.h"
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#include "paddle/phi/kernels/empty_kernel.h"
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namespace phi {
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namespace sparse {
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template <typename T, typename Context>
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void MaxPoolCooKernel(const Context& dev_ctx,
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const SparseCooTensor& x,
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const std::vector<int>& kernel_sizes,
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const std::vector<int>& paddings,
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const std::vector<int>& dilations,
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const std::vector<int>& strides,
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SparseCooTensor* out,
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DenseTensor* rulebook,
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DenseTensor* counter);
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template <typename T, typename Context>
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SparseCooTensor MaxPoolCoo(const Context& dev_ctx,
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const SparseCooTensor& x,
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const std::vector<int>& kernel_sizes,
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const std::vector<int>& paddings,
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const std::vector<int>& dilations,
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const std::vector<int>& strides,
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DenseTensor* rulebook,
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DenseTensor* counter) {
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SparseCooTensor coo;
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MaxPoolCooKernel<T, Context>(dev_ctx,
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x,
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kernel_sizes,
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paddings,
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dilations,
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strides,
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&coo,
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rulebook,
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counter);
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return coo;
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}
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} // namespace sparse
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} // namespace phi
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