constroy Li f60767a770 impl distributed launch with NCCL (#106) ... * add cmake bits about NCCL * move example to examples/NNmodel * impl NCCL communicator * add comm related function to Runtime * export runtime interface * add launch.py * use unique name to distingush the the NCCL ID file * add timeout to communicator init * expose communicator obj from runtime obj, add unit test for nccl communicator * reformat files * Add allReduce operator and cuda nccl allReduce kernel * impl model parallel for resnet * add allGather nccl kernel and operator * Add allreduce allgather operator tests, change allgather kernel to output list of tensor, fix shape infer, handle nullptr output * fix format of onnx.py * use concat following AllGather * get tensor parallel for resnet * fix format of graph_handler.cc * change BUILD_DIST default to OFF * polish code of communicator * update .gitignore * Add broadcast operator and cuda kernel * Add comments for operators * remove const of class member * move communicator to CudaRuntimeObj * Add an empty line at EOF. --------- Co-authored-by: panzezhong <panzezhong@qiyuanlab.com> Co-authored-by: Haojie Wang <haojie0429@gmail.com>		2023-09-05 09:47:35 +08:00
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FindNCCL.cmake	impl distributed launch with NCCL (#106)	2023-09-05 09:47:35 +08:00
config_lotus_TVM.cmake	NNET supports TVM backend and kernels (#78)	2023-04-18 00:26:36 +08:00