Commit Graph

5 Commits

Author SHA1 Message Date
weijie01 32a13b7760 kunlun distributed 2024-04-02 17:15:08 +08:00
zhangyue 00e6cc2587
XCCL support (#171)
* add reduce_mean and gather

* fix format

* add kunlun allreduce and cmakefile

* add kunlun allreduce and cmakefile

* deltete cmake opt

* fix format

* fix makefile

* add DIST option in Makefile

* add xpu allgather

* delete xpu_wait()

* add xpu allgather

* delete specific compiler

* fix format

* fix gather

* add broadcast

* fix format

* fix

* fix xpu, add where operation, fix element-wise operation

* fix softmax

* fix softmax

* log internal input and output

* fix kunlun gather bugs

* update CMakeList.txt and Makefile

* fix some kunlun kernels

* fix Makefile

* fix Makefile

* set cmake version 3.12

* format

* fix where, gather and support gpt2

* "fix format"

* fix format

* copy onnx.py from master

* use KUNLUN_HOME instead of absolute path

* fix torchvision models

* support torchvison model-zoo

* fix format

* format fix, CMakeList fix

* fix review

* fix vecToString return value

* fix format

* delete  empty file

---------

Co-authored-by: wanghailu <wanghailu0717@163.com>
Co-authored-by: wanghailu <wanghailu@qiyuanlab.com>
Co-authored-by: Haojie Wang <haojie0429@gmail.com>
2024-02-29 11:48:35 +08:00
Hardy 42032356fb
Bang cncl (#163)
* 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>
2024-01-03 13:28:03 +08:00
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
zhengly123 a1974aabcd
NNET supports TVM backend and kernels (#78)
* Add: mutator InfoGAN minimum test

* Add: cache and padding (bugs!!)

* Add: expression reader as a cmake target

* Fix: [Intermediate] NMutator::expressionToGraph

To be fix: matmul with implicit broadcast

* Add: matmul broadcast

* Fix: GraphObj ctor should use cloneTensor

* Fix: cuBLAS failure when codegen is enabled

* Add: Exception for checkCuError

* Fix: graph OpList ctor

* Add: expr simplication for TVM

* Add: TVM headers and CMake include paths

* Add: CMake config

* Add: PackedFunc (broken)

* Fix: remove cuCtxCreate which makes TVM fails

* Fix: membound_tvm

* Fix: test_memboundOp

* Add: PRelu Expr and AsTVMVisitor

* Add: Random generator

* Add: support TVM packed function

* Fix: specify runtime

* Add: CMake support of TVM

* Add: detailed output of Matmul

* Add: comments for Matmul

* Chore: format and comments

* Chore: GraphObj::selfCheck without assert control

* Fix: CMAKE_CXX_FLAGS in CMakeLists

* fix merge bug

* update api for mkl batchnorm test

* fix lotus env

* fig header bug

---------

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
Co-authored-by: huangshuhong <huangsh19@mails.tsinghua.edu.cn>
Co-authored-by: whjthu <haojie0429@gmail.com>
2023-04-18 00:26:36 +08:00