* MLU CNCL base
* add FindCNCL.cmake, not find -lcncl
* bangPrintFloat not find
* docker:make sucessful, test error
* delete net file and onnxtest.py
* init
* fix cncl
* format
* fix
* format
* fix cncl
* run dist gpt2 on mlu
* format
* fix import error on mlu docker
* run llama single card
* run distributed llama2
* add test for slice/reduce on mlu
* fix cncl related test
* fix format
* format
* delete comments
* change GPU to MLU
* MLU CNCL base
* add FindCNCL.cmake, not find -lcncl
* bangPrintFloat not find
* docker:make sucessful, test error
* delete net file and onnxtest.py
* init
* fix cncl
* format
* fix
* format
* fix cncl
* run dist gpt2 on mlu
* format
* fix import error on mlu docker
* run llama single card
* run distributed llama2
* add test for slice/reduce on mlu
* fix cncl related test
* fix format
* format
* delete comments
* change GPU to MLU
* modify launch script
* fix name
* fix format
* fix gather
* format python script
---------
Co-authored-by: xgqdut2016 <kenan_gewei@163.com>
Co-authored-by: Bolun <chamberlain0w0@gmail.com>
Co-authored-by: Bolun Zhang <48948016+Chamberlain0w0@users.noreply.github.com>
* fix Slice
* change default rounds of timeit to 10 to reduce time
* fix slice with large ends
* Reshape support Int64
* support position_ids as input
* skip last MatMul in Llama
* skip infer_shapes to parse large model
* update launch.py
* fix split_concat_kernel
* print more message in launch.py
* Reshape supports both Int32 and Int64
* try infer_shapes and warn about failure
* fix format
---------
Co-authored-by: whjthu <haojie0429@gmail.com>
* 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
* export min/max to python
* fix MatMul
* modify launch.py to run opt
* hack to treat ReduceSum as AllReduceSum
* throw exception in cuda error
* fix parallel_opt.py
* improve the error prompt and cuda error check
* fix GatherObj::GatherObj member init
* fix size calculation for scalar (rank = 0) tensor
* MatMul supports bias
* fix add bias for row parallel gemm
* add --gen_std to launch.py
* fix AllReduceNCCL
* update launch.py
* less log
* update parallel_opt
* update launch.py
* add __eq__ for Placement sub-classes
* less benchmark run
* fix placement infer for matmul
* fix vacabuary size
* fix Exception
* Add shard tensor with group to support gpt2
* Add find successor function to find split op at different depth
* recover CommunicatorObj
* improve error mesasge
* optimize parallel_opt.py
* optimize launch.py
* recover docs for all_reduce and all_gather
* - support concat for kvcache
* - modify allocator
* - add tensorType
- modify allocator to support memory allocation based on tensorType
* - fix allocator init
* - support kvcache by running 2 stub distributively
* - fix name
* - remove unused flag
* - fix wrong pb name
* - fix as constroy suggessed
* - fix launch.py format
---------
Co-authored-by: constroy <constroy.li@gmail.com>
Co-authored-by: panzezhong <panzezhong@qiyuanlab.com>
* 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
* export min/max to python
* fix MatMul
* modify launch.py to run opt
* hack to treat ReduceSum as AllReduceSum
* throw exception in cuda error
* fix parallel_opt.py
* improve the error prompt and cuda error check
* fix GatherObj::GatherObj member init
* fix size calculation for scalar (rank = 0) tensor
* MatMul supports bias
* fix add bias for row parallel gemm
* add --gen_std to launch.py
* fix AllReduceNCCL
* update launch.py
* less log
* update parallel_opt
* update launch.py
* add __eq__ for Placement sub-classes
* less benchmark run
* fix placement infer for matmul
* fix vacabuary size
* fix Exception
* Add shard tensor with group to support gpt2
* Add find successor function to find split op at different depth
* recover CommunicatorObj
* improve error mesasge
* optimize parallel_opt.py
* optimize launch.py
* recover docs for all_reduce and all_gather
* Fix API
* fix format
---------
Co-authored-by: panzezhong <panzezhong@qiyuanlab.com>
Co-authored-by: Haojie Wang <haojie0429@gmail.com>
panzezhong