* 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>
* add ceil mode for pooling
* do not print debug info for allocator by default
* fix test bugs after introducing pooling ceil mode
* fix onnx import bug
* - add LazyAllocator class
- calculate memory consumption at present
* - basic function of lazy_allocator, remaining test
* - modify LazyAllocator
* - modify InfiniTensor to fit LazyAllocator
* - add setDataBlob
- modify alignment
- fix GraphObj::dataMalloc
* - modified alignment value(64bytes -> 8bytes)
- fix LazyAllocator::getPtr()
- some dubug codes and commonts
- do alignment by chaning size instead of tailAddr
* - fix some problem
* - translate chinese comments to english
* - format codes
* - fix test
* - code format
* - modify codes as YdrMaser and bitzyz suggested
* - code format
* - modify codes as constroy suggested
* - codes format
* - modify alignment on cuda
* - code format
* - add test_lazy_allocator
- fix tests where not add input tensor into graph.tensors
- fix tests where init tensor's data before calling graph->dataMallocate()
* - code format
* - remove gpu runtime in test_lazy_allocator
* - fix test_lazy_allocator: remove cuda include
* - add test
* - code format
* - add ifdef for test of allocator
* - code format
* - fix test: remove unused ifdef
* - fix bang test
* - code format
* Merge branch 'master' into dcj/memory_allocator
* fix: fix cuda conv_fp16 run fail
* fix bang_runtime.cc and cuda_runtime.cc
* - update mkl code
* - fix codes for mkl
* - code format
* - remove unused commented codes
- add an empty line at the end of the blob.cc
---------
Co-authored-by: zhangyunze <z13785159769@163.com>
* support matmul
* add matmul
* add matmul
* add code for cnnl matmul operation and test
* add conv
* add code for conv test on mlu
* add code for test cnnl conv on mlu
* add code for perf conv and matmul on mlu
* clang format
* fix convolution operation
* fxi cmaklist
* code format
* fix code
* code format
---------
Co-authored-by: wanghailu <wanghailu@qiyuanlab.com>
Co-authored-by: wanghailu <wanghailu0717@163.com>
* move memory format transformation to TensorObj
clang format
add MemoryFormat for tensorObj.
use post_ops for fused conv/deconv
Distinguish mkl op_timer from cuda op timer.
add act optype to conv and deconv
add operator timer
add mkl kernel for convTransposed
minor fix for group conv
do not use cblas_sgemm_batch
CpuRuntimeObj->NativeCpuRuntimeObj
add matmul op for mkl
* fix: fix bugs when rebasing from master
fix: fix bugs when rebasing from master
* fix: update api after rebasing
* fix: fix format; fix onnx import
* fix: fix clang-format
* [fix] fix conv_transpose test
* [fix] use stronger test case for transposed conv
* [fix] remove tensor memory format; fix mkl transpose conv
* [fix] add FIXME tag for op_timer python api
---------
Co-authored-by: whjthu <haojie0429@gmail.com>
* fix a little bug which found by new verison CMake
* add code for support BangC language kernel , just like Cuda kernel, not
library
* add bangc kernel
* support BangC kernel
* add code for support BangC kernel
* support bangc kernel
* fix some code from reviewer
* fix code of template fumction
* add code for support bangc kernel
* fix bangc format
Co-authored-by: wanghailu <wanghailu@qiyuanlab.com>
Co-authored-by: Haojie Wang <haojie0429@gmail.com>
* add code for cambricon mlu, bang, cnnl
* add code for support cambricon mlu,cnnl,cnrt
* add code for support mlu
* add code for support cambricon cnnl
* add code for support mlu
* add code for mlu
* add code for mlu
`
* Update CMakeLists.txt
Co-authored-by: wanghailu <wanghailu@qiyuanlab.com>
Co-authored-by: zhengly123 <zhengly123@outlook.com>
zhangyunze
Derui Yang