ascend-mmcv-install

Installing mmcv-full with Ascend NPU support requires cloning the mmcv repository, applying necessary patches, installing runtime dependencies, and building with MMCV_WITH_OPS=1 and FORCE_NPU=1 flags inside an Ascend NPU container. This automated process ensures NPU operators are fully compiled and available for OpenMMLab libraries like BEVFormer.

Compiling mmcv-full for Ascend NPU requires Ascend CANN and torch_npu to be pre-installed in the container environment. You also need container access to clone the mmcv repository, apply patches, and install runtime dependencies before building the package with NPU operator support.

You need to compile mmcv-full with NPU operators when preparing OpenMMLab-based projects that require hardware acceleration in Ascend environments. This is specifically required for running models like BEVFormer and other OpenMMLab libraries on Ascend NPU hardware.

Yes, you can customize the mmcv-full build by specifying the target Conda environment, selecting specific version branches, and defining patch strategies. This configuration flexibility allows the installation to adapt to various OpenMMLab project requirements within Ascend NPU containers.

Building mmcv-full on Ascend NPU without patches fails because the standard source code lacks native NPU operator definitions. Applying the provided patches modifies the codebase to enable FORCE_NPU=1 and ensures proper integration with Ascend CANN and torch_npu during the compilation process.