wehub-resource-sync
72 lines
2.7 KiB
Plaintext
72 lines
2.7 KiB
Plaintext
/*
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* SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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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*/
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#include "transpose.h"
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#include <cuda_bf16.h>
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#include <cuda_fp16.h>
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#include <cuda_runtime_api.h>
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namespace nvinfer1::plugin
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{
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/// Transpose the last two dimensions of a 3D tensor [outer, rows, cols] -> [outer, cols, rows].
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/// Each thread handles one element.
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template <typename T>
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__global__ void batchedTranspose2DKernel(
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T const* __restrict__ src, T* __restrict__ dst, int32_t outer, int32_t rows, int32_t cols)
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{
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int64_t const idx = static_cast<int64_t>(blockIdx.x) * blockDim.x + threadIdx.x;
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int64_t const total = static_cast<int64_t>(outer) * rows * cols;
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if (idx >= total)
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{
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return;
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}
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int64_t const matSize = static_cast<int64_t>(rows) * cols;
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int32_t const o = static_cast<int32_t>(idx / matSize);
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int32_t const rem = static_cast<int32_t>(idx % matSize);
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int32_t const r = rem / cols;
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int32_t const c = rem % cols;
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// src[o][r][c] -> dst[o][c][r]
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dst[static_cast<int64_t>(o) * matSize + static_cast<int64_t>(c) * rows + r] = src[idx];
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}
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template <typename T>
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void launchBatchedTranspose2D(
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T const* src, T* dst, int32_t outer, int32_t rows, int32_t cols, cudaStream_t stream)
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{
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int64_t const total = static_cast<int64_t>(outer) * rows * cols;
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if (total == 0)
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{
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return;
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}
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int32_t constexpr kBlockSize = 256;
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int32_t const numBlocks = static_cast<int32_t>((total + kBlockSize - 1) / kBlockSize);
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batchedTranspose2DKernel<T><<<numBlocks, kBlockSize, 0, stream>>>(src, dst, outer, rows, cols);
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}
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// Explicit instantiations.
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template void launchBatchedTranspose2D<float>(float const*, float*, int32_t, int32_t, int32_t, cudaStream_t);
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template void launchBatchedTranspose2D<half>(half const*, half*, int32_t, int32_t, int32_t, cudaStream_t);
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template void launchBatchedTranspose2D<__nv_bfloat16>(
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__nv_bfloat16 const*, __nv_bfloat16*, int32_t, int32_t, int32_t, cudaStream_t);
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template void launchBatchedTranspose2D<int32_t>(
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int32_t const*, int32_t*, int32_t, int32_t, int32_t, cudaStream_t);
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} // namespace nvinfer1::plugin
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