41 lines
1.5 KiB
Plaintext
41 lines
1.5 KiB
Plaintext
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// Copyright (c) OpenMMLab. All rights reserved.
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#include <cstdint>
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namespace mmdeploy {
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namespace cuda {
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template <typename T>
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__global__ void transpose(const T* src, int height, int width, int channels, int src_width_stride,
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T* dst, int dst_channel_stride) {
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auto x = blockIdx.x * blockDim.x + threadIdx.x;
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auto y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= width || y >= height) return;
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for (auto c = 0; c < channels; ++c) {
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dst[c * dst_channel_stride + y * width + x] = src[y * src_width_stride + x * channels + c];
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}
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}
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template <typename T>
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void Transpose(const T* src, int height, int width, int channels, T* dst, cudaStream_t stream) {
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const dim3 thread_block(32, 8);
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const dim3 block_num((width + thread_block.x - 1) / thread_block.x,
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(height + thread_block.y - 1) / thread_block.y);
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auto src_width_stride = width * channels;
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auto dst_channel_stride = width * height;
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transpose<T><<<block_num, thread_block, 0, stream>>>(src, height, width, channels,
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src_width_stride, dst, dst_channel_stride);
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}
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template void Transpose<uint8_t>(const uint8_t* src, int height, int width, int channels,
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uint8_t* dst, cudaStream_t stream);
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template void Transpose<float>(const float* src, int height, int width, int channels, float* dst,
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cudaStream_t stream);
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} // namespace cuda
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} // namespace mmdeploy
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