mmdeploy/csrc/device/cuda/cuda_builtin_kernels.cu
lzhangzz 640aa03538
Support Windows (#106)
* minor changes

* support windows

* fix GCC build

* fix lint

* reformat

* fix Windows build

* fix GCC build

* search backend ops for onnxruntime

* fix lint

* fix lint

* code clean-up

* code clean-up

* fix clang build

* fix trt support

* fix cmake for ncnn

* fix cmake for openvino

* fix SDK Python API

* handle ops for other backends (ncnn, trt)

* handle SDK Python API library location

* robustify linkage

* fix cuda

* minor fix for openvino & ncnn

* use CMAKE_CUDA_ARCHITECTURES if set

* fix cuda preprocessor

* fix misc

* fix pplnn & pplcv, drop support for pplcv<0.6.0

* robustify cmake

* update build.md (#2)

* build dynamic modules as module library & fix demo (partially)

* fix candidate path for mmdeploy_python

* move "enable CUDA" to cmake config for demo

* refine demo cmake

* add comment

* fix ubuntu build

* revert docs/en/build.md

* fix C API

* fix lint

* Windows build doc (#3)

* check in docs related to mmdeploy build on windows

* update build guide on windows platform

* update build guide on windows platform

* make path of thirdparty libraries consistent

* make path consistency

* correct build command for custom ops

* correct build command for sdk

* update sdk build instructions

* update doc

* correct build command

* fix lint

* correct build command and fix lint

Co-authored-by: lvhan <lvhan@pjlab.org>

* trailing whitespace (#4)

* minor fix

* fix sr sdk model

* fix type deduction

* fix cudaFree after driver shutting down

* update ppl.cv installation warning (#5)

* fix device allocator threshold & fix lint

* update doc (#6)

* update ppl.cv installation warning

* missing 'git clone'

Co-authored-by: chenxin <chenxin2@sensetime.com>
Co-authored-by: zhangli <zhangli@sensetime.com>
Co-authored-by: lvhan028 <lvhan_028@163.com>
Co-authored-by: lvhan <lvhan@pjlab.org>
2022-02-24 20:08:44 +08:00

32 lines
874 B
Plaintext

// Copyright (c) OpenMMLab. All rights reserved.
#include <cuda_runtime.h>
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 unsigned int n_threads = 256;
const unsigned int 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