chore: import upstream snapshot with attribution
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/* Copyright (c) 2025 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 <array>
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#include <cstdint>
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#include <type_traits>
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#include <vector>
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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#include "paddle/phi/kernels/funcs/stride_utils.h"
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namespace phi {
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namespace funcs {
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constexpr int MAX_DIMS = DDim::kMaxRank;
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template <int N>
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struct alignas(N) OpaqueType {
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char data[N];
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};
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template <typename IndexT>
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std::array<char*, DDim::kMaxRank> GetIndexDataPtrs(
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const std::vector<const DenseTensor*>& index) {
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std::array<char*, DDim::kMaxRank> index_ptrs{};
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PADDLE_ENFORCE_LE(index.size(),
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DDim::kMaxRank,
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"The number of index tensors exceeds the maximum rank.");
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for (size_t i = 0; i < index.size(); ++i) {
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const IndexT* p_index = index[i]->data<IndexT>();
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PADDLE_ENFORCE_NOT_NULL(
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p_index,
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::common::errors::InvalidArgument(
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"The pointer p_index is nullptr, "
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"please check whether the index tensor is valid and "
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"its data is correctly initialized."));
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index_ptrs[i] = reinterpret_cast<char*>(const_cast<IndexT*>(p_index));
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}
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return index_ptrs;
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}
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} // namespace funcs
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} // namespace phi
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