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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#include "paddle/phi/kernels/gather_nd_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/gather.h"
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#include "paddle/phi/kernels/tile_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void GatherNdKernel(const Context &dev_ctx,
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const DenseTensor &x,
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const DenseTensor &index,
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DenseTensor *out) {
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dev_ctx.template Alloc<T>(out);
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if (x.numel() == 0 || out->numel() == 0) return;
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// The result dims is
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// Index.shape[:-1] + X.shape[Index.shape[-1]:]
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// If the last dimension of index is 0, set it to 1 and tile x.
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auto index_dims = index.dims();
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std::vector<int64_t> out_dims;
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if (index_dims[index_dims.size() - 1] == 0) {
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for (int i = 0; i < index_dims.size() - 1; ++i) {
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out_dims.emplace_back(index_dims[i]);
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}
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for (int i = 0; i < x.dims().size(); ++i) {
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out_dims.emplace_back(1);
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}
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TileKernel<T, Context>(dev_ctx, x, IntArray(out_dims), out);
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return;
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}
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if (index.dims()[0] == 0 && index.numel() == 0) return;
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auto index_type = index.dtype();
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bool index_type_match =
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index_type == DataType::INT32 || index_type == DataType::INT64;
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PADDLE_ENFORCE_EQ(index_type_match,
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true,
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common::errors::InvalidArgument(
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"Index holds the wrong type, it holds [%s],"
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"but desires to be [%s] or [%s]",
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index_type,
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DataType::INT32,
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DataType::INT64));
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if (index_type == DataType::INT32) {
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funcs::CPUGatherNd<T, int>(dev_ctx, x, index, out);
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} else if (index_type == DataType::INT64) {
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funcs::CPUGatherNd<T, int64_t>(dev_ctx, x, index, out);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(gather_nd,
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CPU,
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ALL_LAYOUT,
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phi::GatherNdKernel,
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bool,
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float,
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double,
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int,
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int8_t,
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int64_t,
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int16_t,
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uint8_t,
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phi::complex64,
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phi::complex128) {}
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