mmdeploy/csrc/device/cuda/cuda_builtin_kernels.cu

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Merge sdk (#251) * check in cmake * move backend_ops to csrc/backend_ops * check in preprocess, model, some codebase and their c-apis * check in CMakeLists.txt * check in parts of test_csrc * commit everything else * add readme * update core's BUILD_INTERFACE directory * skip codespell on third_party * update trt_net and ort_net's CMakeLists * ignore clion's build directory * check in pybind11 * add onnx.proto. Remove MMDeploy's dependency on ncnn's source code * export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON * remove useless message * target include directory is wrong * change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net * skip install directory * update project's cmake * remove useless code * set CMAKE_BUILD_TYPE to Release by force if it isn't set by user * update custom ops CMakeLists * pass object target's source lists * fix lint end-of-file * fix lint: trailing whitespace * fix codespell hook * remove bicubic_interpolate to csrc/backend_ops/ * set MMDEPLOY_BUILD_SDK OFF * change custom ops build command * add spdlog installation command * update docs on how to checkout pybind11 * move bicubic_interpolate to backend_ops/tensorrt directory * remove useless code * correct cmake * fix typo * fix typo * fix install directory * correct sdk's readme * set cub dir when cuda version < 11.0 * change directory where clang-format will apply to * fix build command * add .clang-format * change clang-format style from google to file * reformat csrc/backend_ops * format sdk's code * turn off clang-format for some files * add -Xcompiler=-fno-gnu-unique * fix trt topk initialize * check in config for sdk demo * update cmake script and csrc's readme * correct config's path * add cuda include directory, otherwise compile failed in case of tensorrt8.2 * clang-format onnx2ncnn.cpp Co-authored-by: zhangli <lzhang329@gmail.com> Co-authored-by: grimoire <yaoqian@sensetime.com>
2021-12-07 10:57:55 +08:00
// Copyright (c) OpenMMLab. All rights reserved.
namespace mmdeploy {
namespace cuda {
__global__ void FillKernel(void* dst, size_t dst_size, const void* pattern, size_t pattern_size) {
size_t idx = threadIdx.x + blockIdx.x * blockDim.x;
auto p_dst = static_cast<uchar1*>(dst);
auto p_pattern = static_cast<const uchar1*>(pattern);
for (; idx < dst_size; idx += blockDim.x * gridDim.x) {
auto ptr = idx % pattern_size;
p_dst[idx] = p_pattern[ptr];
}
}
int Fill(void* dst, size_t dst_size, const void* pattern, size_t pattern_size,
cudaStream_t stream) {
const uint n_threads = 256;
const uint n_blocks = (dst_size + n_threads - 1) / n_threads;
FillKernel<<<n_blocks, n_threads, 0, stream>>>(dst, dst_size, pattern, pattern_size);
return 0;
}
} // namespace cuda
} // namespace mmdeploy