wehub-resource-sync
48 lines
1.7 KiB
C++
48 lines
1.7 KiB
C++
// 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/backends/gpu/gpu_info.h"
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#include "paddle/phi/backends/gpu/gpu_launch_config.h"
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#include "paddle/phi/backends/gpu/gpu_primitives.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/utils/data_type.h"
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namespace phi {
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template <typename T, typename IndexT>
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__global__ void index_select_cuda_kernel(const T* input,
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T* output,
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const IndexT* index,
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int64_t N,
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int64_t stride,
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int64_t size,
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int64_t delta,
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int64_t dim_size) {
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CUDA_KERNEL_LOOP_TYPE(idx, N, int64_t) {
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int64_t pre_idx = idx / (stride * size);
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int64_t dim_idx = idx % (stride * size) / stride;
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IndexT src_dim_idx = index[dim_idx];
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if (src_dim_idx < 0) {
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src_dim_idx += dim_size;
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}
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int64_t input_idx =
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idx + (delta * pre_idx + src_dim_idx - dim_idx) * stride;
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output[idx] = input[input_idx];
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}
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}
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} // namespace phi
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