mirror of https://github.com/open-mmlab/mmcv.git
177 lines
6.1 KiB
Markdown
177 lines
6.1 KiB
Markdown
### v1.3.18
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Some ops have different implementations on different devices. Lots of macros and type checks are scattered in several files, which makes the code hard to maintain. For example:
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```c++
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if (input.device().is_cuda()) {
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#ifdef MMCV_WITH_CUDA
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CHECK_CUDA_INPUT(input);
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CHECK_CUDA_INPUT(rois);
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CHECK_CUDA_INPUT(output);
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CHECK_CUDA_INPUT(argmax_y);
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CHECK_CUDA_INPUT(argmax_x);
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roi_align_forward_cuda(input, rois, output, argmax_y, argmax_x,
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aligned_height, aligned_width, spatial_scale,
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sampling_ratio, pool_mode, aligned);
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#else
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AT_ERROR("RoIAlign is not compiled with GPU support");
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#endif
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} else {
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CHECK_CPU_INPUT(input);
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CHECK_CPU_INPUT(rois);
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CHECK_CPU_INPUT(output);
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CHECK_CPU_INPUT(argmax_y);
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CHECK_CPU_INPUT(argmax_x);
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roi_align_forward_cpu(input, rois, output, argmax_y, argmax_x,
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aligned_height, aligned_width, spatial_scale,
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sampling_ratio, pool_mode, aligned);
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}
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```
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Registry and dispatcher are added to manage these implementations.
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```c++
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void ROIAlignForwardCUDAKernelLauncher(Tensor input, Tensor rois, Tensor output,
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Tensor argmax_y, Tensor argmax_x,
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int aligned_height, int aligned_width,
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float spatial_scale, int sampling_ratio,
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int pool_mode, bool aligned);
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void roi_align_forward_cuda(Tensor input, Tensor rois, Tensor output,
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Tensor argmax_y, Tensor argmax_x,
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int aligned_height, int aligned_width,
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float spatial_scale, int sampling_ratio,
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int pool_mode, bool aligned) {
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ROIAlignForwardCUDAKernelLauncher(
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input, rois, output, argmax_y, argmax_x, aligned_height, aligned_width,
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spatial_scale, sampling_ratio, pool_mode, aligned);
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}
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// register cuda implementation
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void roi_align_forward_impl(Tensor input, Tensor rois, Tensor output,
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Tensor argmax_y, Tensor argmax_x,
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int aligned_height, int aligned_width,
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float spatial_scale, int sampling_ratio,
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int pool_mode, bool aligned);
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REGISTER_DEVICE_IMPL(roi_align_forward_impl, CUDA, roi_align_forward_cuda);
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// roi_align.cpp
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// use the dispatcher to invoke different implementation depending on device type of input tensors.
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void roi_align_forward_impl(Tensor input, Tensor rois, Tensor output,
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Tensor argmax_y, Tensor argmax_x,
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int aligned_height, int aligned_width,
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float spatial_scale, int sampling_ratio,
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int pool_mode, bool aligned) {
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DISPATCH_DEVICE_IMPL(roi_align_forward_impl, input, rois, output, argmax_y,
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argmax_x, aligned_height, aligned_width, spatial_scale,
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sampling_ratio, pool_mode, aligned);
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}
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```
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### v1.3.11
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In order to flexibly support more backends and hardwares like `NVIDIA GPUs` and `AMD GPUs`, the directory of `mmcv/ops/csrc` is refactored. Note that this refactoring will not affect the usage in API. For related information, please refer to [PR1206](https://github.com/open-mmlab/mmcv/pull/1206).
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The original directory was organized as follows.
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```
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.
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├── common_cuda_helper.hpp
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├── ops_cuda_kernel.cuh
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├── pytorch_cpp_helper.hpp
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├── pytorch_cuda_helper.hpp
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├── parrots_cpp_helper.hpp
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├── parrots_cuda_helper.hpp
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├── parrots_cudawarpfunction.cuh
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├── onnxruntime
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│ ├── onnxruntime_register.h
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│ ├── onnxruntime_session_options_config_keys.h
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│ ├── ort_mmcv_utils.h
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│ ├── ...
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│ ├── onnx_ops.h
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│ └── cpu
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│ ├── onnxruntime_register.cpp
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│ ├── ...
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│ └── onnx_ops_impl.cpp
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├── parrots
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│ ├── ...
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│ ├── ops.cpp
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│ ├── ops_cuda.cu
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│ ├── ops_parrots.cpp
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│ └── ops_pytorch.h
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├── pytorch
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│ ├── ...
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│ ├── ops.cpp
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│ ├── ops_cuda.cu
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│ ├── pybind.cpp
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└── tensorrt
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├── trt_cuda_helper.cuh
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├── trt_plugin_helper.hpp
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├── trt_plugin.hpp
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├── trt_serialize.hpp
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├── ...
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├── trt_ops.hpp
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└── plugins
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├── trt_cuda_helper.cu
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├── trt_plugin.cpp
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├── ...
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├── trt_ops.cpp
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└── trt_ops_kernel.cu
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```
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After refactored, it is organized as follows.
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```
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.
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├── common
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│ ├── box_iou_rotated_utils.hpp
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│ ├── parrots_cpp_helper.hpp
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│ ├── parrots_cuda_helper.hpp
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│ ├── pytorch_cpp_helper.hpp
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│ ├── pytorch_cuda_helper.hpp
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│ └── cuda
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│ ├── common_cuda_helper.hpp
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│ ├── parrots_cudawarpfunction.cuh
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│ ├── ...
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│ └── ops_cuda_kernel.cuh
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├── onnxruntime
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│ ├── onnxruntime_register.h
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│ ├── onnxruntime_session_options_config_keys.h
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│ ├── ort_mmcv_utils.h
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│ ├── ...
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│ ├── onnx_ops.h
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│ └── cpu
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│ ├── onnxruntime_register.cpp
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│ ├── ...
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│ └── onnx_ops_impl.cpp
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├── parrots
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│ ├── ...
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│ ├── ops.cpp
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│ ├── ops_parrots.cpp
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│ └── ops_pytorch.h
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├── pytorch
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│ ├── info.cpp
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│ ├── pybind.cpp
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│ ├── ...
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│ ├── ops.cpp
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│ └── cuda
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│ ├── ...
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│ └── ops_cuda.cu
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└── tensorrt
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├── trt_cuda_helper.cuh
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├── trt_plugin_helper.hpp
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├── trt_plugin.hpp
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├── trt_serialize.hpp
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├── ...
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├── trt_ops.hpp
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└── plugins
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├── trt_cuda_helper.cu
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├── trt_plugin.cpp
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├── ...
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├── trt_ops.cpp
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└── trt_ops_kernel.cu
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```
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