Commit Graph

23 Commits

Author SHA1 Message Date
zhangyunze 331f7ab2b8
support Dynamic tensor infer shape and fix memory pool (#176)
* feat: support dynamic tensor part1

* feat: support dynamic-tensor part2

* feat: support dynamic tensor part 3

* fix: fix some ..

* - add kvcache example

* feat: support concat to identity kernel

* add a simple mempory pool for allocator

* fix: rebase to master

* fix bug after merging

* - remove outdated script

* fix: fix as review

---------

Co-authored-by: kilinchange <kilinchange@163.com>
Co-authored-by: Haojie Wang <haojie0429@gmail.com>
2023-11-23 13:11:50 +08:00
kilinchange 1151101fb9
add naive allocator for debugging (#140)
* add naive allocator only for debugging

* merge redundant api

---------

Co-authored-by: whjthu <haojie0429@gmail.com>
2023-10-10 16:42:23 +08:00
kilinchange 48ec730579
Support kvcache (#134)
* 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>
2023-09-18 14:17:02 +08:00
kilinchange 0dc5347089
memory_allocator (#103)
* - 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>
2023-08-13 13:39:35 +08:00
YdrMaster 26f0d13c26
Dev for 202303ddl (#66)
* add activation operatiopn relu, tanh, sigmoid on mlu

* commit for format

* add activation backward operation

* add test for activation_backward

* add test

* add convbpfilter

* fix

* add transpsoe code and test

* add trigon function operation on mlu: sin,cos,tan,asin,sinh,asinh

* add copy operation on mlu

* add ceil operation and floor operation

* add operation clip

* add operation cnnl div, test and test for divdemo bangc kernel

* add divnonan operation and test

* add erf operation

* add exp operation

* add operation fill

* add log operation

* add log1p operation

* add l2loss operation

* add maximum and minimum operation

* add mseloss operation

* add negTensor operation

* add power operation

* add reciprocal operation

* add sqrt and rsqrt operation

* add transform operation

* add addn operation

* add muln operation

* cherrry pick some operation

* add floordiv operation and floordivtrunc operation

* add floormod operation

* add cumsum operation

* add det operation

* add pad operation

* format

* add concat operation

* format

* add split operation

* fix concat and split operation

* add round operation

* add pooling operation

* add square operation

* add squaredDifference operation

* code format fix

* add flip operation

* code format fix

* add hardtanh operation

* add logic operation

* add addcdiv and addcmul operation

* add arange operation

* add bitcompute operation

* add net test

* fmt

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* style: rename

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: 用 NativeCpuRuntime 替换 CpuRuntime

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix code

* fix code

* fix code by review suggestion

* remove operation which is not the onnx operation

* fix format

* clang format

* refactor: tensor 的 print 加一层模板的 dataToString

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: onnx 导出

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 增加计算图优化接口

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* add clip operation

* feat: 支持导入 clip

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* test: 导入导出测试加入 ci

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix batch norm

* feat: 增加 Shape 算子

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 支持导入 unsqueeze

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: 修正 clip 接口

feat: 支持导入 transpose
Signed-off-by: YdrMaster <ydrml@hotmail.com>

* add broadcast operation

* fix elementwise-broadcast

* fix elementwise broadcast

* add broadcast for gpu elementsie

* feat: pad 支持 axes 负数

feat: 不支持的 padding 导出为独立的 pad 算子

feat: 支持导入 onnxsim 过的 inception
Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: 修正池化的测试

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 导出 pads,支持 inception 导入导出,已加入 ci

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 支持 densenet 导入导出,并加入 ci

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 导入 squeeze

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix softmax

* feat: 导出 clip 和 transpose

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 支持 Conv 的 bias

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: bias of conv

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: bias of conv

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 导入 split

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 导出 split

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: conv

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: conv group

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: matmul 的 bias 没有放在输入里,修正

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix exmaple

* fix: 改正 reduce_mean 导出

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* refactor: 修改 slice 实现与 onnx 一致

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* style: 不导出两个 runtime 函数

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* doc: 中文使用指南

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* doc: 补全指南

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: 修复导入数据的问题

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fmt

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 添加 Dropout 基本结构,但不支持两个输出是不同的类型

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 重新导出优化接口

feat: dropout 导入
Signed-off-by: YdrMaster <ydrml@hotmail.com>

* build: BANG 选项加入 Makefile

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fxi code, change of test/kernels/bang/test* is use NativeCpuRuntime.
chaneg of include/bang/bang_runtime is for the cntoolkit upgrade.

* feat: 导出 bang runtime

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* add USE_BANG=1

* fix matmul

* fix reshape

* fix

* fix activation

* fix transpose

* format

* format

* update Makefile

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 支持导入导出 ConvTranspose

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* add prelu on mlu

* fix: ConvTranspose

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* feat: 支持导入导出 PRelu

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* add convtrans on mlu

* fmt

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* docs: 更新 README_CN.md

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix code by review suggestions

* style

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix: Softmax 的 axis 可以用默认值?感觉是 onnx 不标准

Signed-off-by: YdrMaster <ydrml@hotmail.com>

* fix cuda & intelcpu bugs after merging

---------

Signed-off-by: YdrMaster <ydrml@hotmail.com>
Co-authored-by: wanghailu <wanghailu0717@163.com>
Co-authored-by: wanghailu <wanghailu@qiyuanlab.com>
Co-authored-by: whjthu <haojie0429@gmail.com>
2023-04-18 15:10:33 +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
wendy12022 43d4798323
ADD: sub graph replacement. (#56)
reconfig: connections among op and tensor now is managered by GraphObj .

add some comments

merge from master

merge from master

ADD: sub graph replacement

reconfig inputs of op resize, due to the check of operator inputs.

ResizeObj::clone

clang format

fix some and add test for multi-output.

replacement support multi-inputs and multi-outputs.

add clone for all operators

add replaceSubGraph addSubGraph

remove extra code

add more test

remove extra print

Co-authored-by: Haojie Wang <haojie0429@gmail.com>
2023-04-17 13:09:07 +08:00
whjthu d9886e9de3 fix: remove inline keyword in class; rename getter and setter for inputOf and outputOf 2023-03-25 12:04:24 +08:00
YdrMaster 45a3cdfa30 feat: GraphObj 增加一个拓扑排序方法及其测试
Signed-off-by: YdrMaster <ydrml@hotmail.com>
2023-03-15 15:09:12 +08:00
YdrMaster f20e791cf5 style: 修改 graph.h/graph.cc
Signed-off-by: YdrMaster <ydrml@hotmail.com>
2023-03-15 15:09:12 +08:00
zhengly123 c7ec9ee6e7
Add search engine (#64)
* Add: tensor fuid

* [Intermediate state] Add: Graph ctor for OpVec

* Add: clone for operators

* tmp: search_engine

* search: init search Engine.

* Add: dummy mutator for the test of search engine

* search: add print graph.

* search: add partition.

* search: update comments.

* Fix: remain FUID in Tensor::clone

* Chore: rename GUidBaseType to UidBaseType

* Fix: connect NMutator to SearchEngine

* Chore: output

* Fix test_memboundOp: nmutator uses input runtime

* Chore: clang-format

* Chore: clang-format

* Fix: comments in the review

---------

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
Co-authored-by: mazx <dyxdy@live.com>
2023-02-12 18:27:52 +08:00
zhengly123 4e0040c8a0
Add: connection among tensors and operators (#45)
* Add: refs_to_wrefs and wrefs_to_refs

* Add: op and tensor connection

* Add: inception-v3 block test

* Refactor: addOperatorAndConnect

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
2022-10-18 22:02:51 +08:00
zhengly123 1152adc94a
Add: python API for timing ConvTranspose (#46)
* Add: python interfaced for timing operators

* Fix: CUDA Runtime run

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
2022-10-07 16:03:11 +08:00
zhengly123 172d03d6f2
Fix NNet tests after migration (#27)
* Fix: interpreter

```
          4 - readlog (Failed)
          8 - test_TConv2gemm (Failed)
         11 - test_conv2conv (Failed)
         12 - test_conv2gemm (Failed)
         15 - test_g2bmm (Failed)
         16 - test_guidedDLT (Subprocess aborted)
         22 - test_mergeStage (Subprocess aborted)
```

* Exclude readlog from ctest

* Fix: change the path of logs

```
85% tests passed, 4 tests failed out of 27

Total Test time (real) = 100.69 sec

The following tests FAILED:
         10 - test_conv2conv (Timeout)
         11 - test_conv2gemm (Timeout)
         15 - test_guidedDLT (Subprocess aborted)
         21 - test_mergeStage (Subprocess aborted)
Errors while running CTest
```

- test_conv2conv 38529 ms total
- test_conv2gemm 37098 ms total

* Fix: test_mergeStage

* Fix: test_guidedDLT

```
      Start  1: test_graph
 1/27 Test  #1: test_graph .......................   Passed    0.05 sec
      Start  2: test_hash
 2/27 Test  #2: test_hash ........................   Passed    0.02 sec
      Start  3: test_conv
 3/27 Test  #3: test_conv ........................   Passed    4.98 sec
      Start  4: test_Interpreter
 4/27 Test  #4: test_Interpreter .................   Passed    6.30 sec
      Start  5: test_OpSearch
 5/27 Test  #5: test_OpSearch ....................   Passed    0.02 sec
      Start  6: test_Rule2VariableMerging
 6/27 Test  #6: test_Rule2VariableMerging ........   Passed    0.03 sec
      Start  7: test_TConv2gemm
 7/27 Test  #7: test_TConv2gemm ..................   Passed   29.45 sec
      Start  8: test_as_tvm
 8/27 Test  #8: test_as_tvm ......................   Passed    0.02 sec
      Start  9: test_compareFormulas
 9/27 Test  #9: test_compareFormulas .............   Passed    0.02 sec
      Start 10: test_conv2conv
10/27 Test #10: test_conv2conv ...................   Passed   36.55 sec
      Start 11: test_conv2gemm
11/27 Test #11: test_conv2gemm ...................   Passed   39.70 sec
      Start 12: test_dlt
12/27 Test #12: test_dlt .........................   Passed    0.03 sec
      Start 13: test_exprHash
13/27 Test #13: test_exprHash ....................   Passed    0.02 sec
      Start 14: test_g2bmm
14/27 Test #14: test_g2bmm .......................   Passed    0.16 sec
      Start 15: test_guidedDLT
15/27 Test #15: test_guidedDLT ...................   Passed    0.07 sec
      Start 16: test_matchConv
16/27 Test #16: test_matchConv ...................   Passed    0.02 sec
      Start 17: test_matchElementWise
17/27 Test #17: test_matchElementWise ............   Passed    0.03 sec
      Start 18: test_matchMatmul
18/27 Test #18: test_matchMatmul .................   Passed    0.02 sec
      Start 19: test_matchReshape
19/27 Test #19: test_matchReshape ................   Passed    0.02 sec
      Start 20: test_memboundOp
20/27 Test #20: test_memboundOp ..................   Passed    0.02 sec
      Start 21: test_mergeStage
21/27 Test #21: test_mergeStage ..................   Passed    0.02 sec
      Start 22: test_oobChecker
22/27 Test #22: test_oobChecker ..................   Passed    0.02 sec
      Start 23: test_rangeMagnify
23/27 Test #23: test_rangeMagnify ................   Passed    0.02 sec
      Start 24: test_relaxation
24/27 Test #24: test_relaxation ..................   Passed    0.02 sec
      Start 25: test_serializer
25/27 Test #25: test_serializer ..................   Passed    0.03 sec
      Start 26: test_simplify
26/27 Test #26: test_simplify ....................   Passed    0.02 sec
      Start 27: test_subset
27/27 Test #27: test_subset ......................   Passed    0.01 sec

100% tests passed, 0 tests failed out of 27

Total Test time (real) = 117.72 sec
```

* Fix: format

* Replace nnet:Ref with infini::Ref

```
      Start  1: test_graph
 1/27 Test   1: test_graph .......................   Passed    0.02 sec
      Start  2: test_hash
 2/27 Test   2: test_hash ........................   Passed    0.02 sec
      Start  3: test_conv
  3/27 Test   3: test_conv ........................   Passed    4.45 sec
      Start  4: test_Interpreter
 4/27 Test   4: test_Interpreter .................   Passed    4.37 sec
      Start  5: test_OpSearch
 5/27 Test   5: test_OpSearch ....................   Passed    0.02 sec
      Start  6: test_Rule2VariableMerging
 6/27 Test   6: test_Rule2VariableMerging ........   Passed    0.02 sec
      Start  7: test_TConv2gemm
 7/27 Test   7: test_TConv2gemm ..................   Passed   23.40 sec
      Start  8: test_as_tvm
 8/27 Test   8: test_as_tvm ......................   Passed    0.02 sec
      Start  9: test_compareFormulas
 9/27 Test   9: test_compareFormulas .............   Passed    0.01 sec
      Start 10: test_conv2conv
10/27 Test  10: test_conv2conv ...................   Passed   32.28 sec
      Start 11: test_conv2gemm
11/27 Test  11: test_conv2gemm ...................   Passed   29.41 sec
      Start 12: test_dlt
12/27 Test  12: test_dlt .........................   Passed    0.02 sec
      Start 13: test_exprHash
13/27 Test  13: test_exprHash ....................   Passed    0.01 sec
      Start 14: test_g2bmm
14/27 Test  14: test_g2bmm .......................   Passed    0.14 sec
      Start 15: test_guidedDLT
15/27 Test  15: test_guidedDLT ...................   Passed    0.06 sec
      Start 16: test_matchConv
16/27 Test  16: test_matchConv ...................   Passed    0.02 sec
      Start 17: test_matchElementWise
17/27 Test  17: test_matchElementWise ............   Passed    0.02 sec
      Start 18: test_matchMatmul
18/27 Test  18: test_matchMatmul .................   Passed    0.02 sec
      Start 19: test_matchReshape
19/27 Test  19: test_matchReshape ................   Passed    0.01 sec
      Start 20: test_memboundOp
20/27 Test  20: test_memboundOp ..................   Passed    0.02 sec
      Start 21: test_mergeStage
21/27 Test  21: test_mergeStage ..................   Passed    0.01 sec
      Start 22: test_oobChecker
22/27 Test  22: test_oobChecker ..................   Passed    0.01 sec
      Start 23: test_rangeMagnify
23/27 Test  23: test_rangeMagnify ................   Passed    0.01 sec
      Start 24: test_relaxation
24/27 Test  24: test_relaxation ..................   Passed    0.01 sec
      Start 25: test_serializer
25/27 Test  25: test_serializer ..................   Passed    0.02 sec
      Start 26: test_simplify
26/27 Test  26: test_simplify ....................   Passed    0.01 sec
      Start 27: test_subset
27/27 Test  27: test_subset ......................   Passed    0.00 sec

100% tests passed, 0 tests failed out of 27

Total Test time (real) =  94.47 sec
```

* Relax time limit for CPU conv

```
      Start  1: test_graph
 1/29 Test   1: test_graph .......................   Passed    0.02 sec
      Start  2: test_hash
 2/29 Test   2: test_hash ........................   Passed    0.02 sec
      Start  3: test_conv
 3/29 Test   3: test_conv ........................   Passed    4.47 sec
      Start  4: test_matmul
 4/29 Test   4: test_matmul ......................   Passed    2.61 sec
      Start  5: test_pooling
 5/29 Test   5: test_pooling .....................   Passed    2.57 sec
      Start  6: test_Interpreter
 6/29 Test   6: test_Interpreter .................   Passed    4.35 sec
      Start  7: test_OpSearch
 7/29 Test   7: test_OpSearch ....................   Passed    0.02 sec
      Start  8: test_Rule2VariableMerging
 8/29 Test   8: test_Rule2VariableMerging ........   Passed    0.02 sec
      Start  9: test_TConv2gemm
 9/29 Test   9: test_TConv2gemm ..................   Passed   23.32 sec
      Start 10: test_as_tvm
10/29 Test  10: test_as_tvm ......................   Passed    0.02 sec
      Start 11: test_compareFormulas
11/29 Test  11: test_compareFormulas .............   Passed    0.02 sec
      Start 12: test_conv2conv
12/29 Test  12: test_conv2conv ...................   Passed   32.12 sec
      Start 13: test_conv2gemm
13/29 Test  13: test_conv2gemm ...................   Passed   30.59 sec
      Start 14: test_dlt
14/29 Test  14: test_dlt .........................   Passed    0.02 sec
      Start 15: test_exprHash
15/29 Test  15: test_exprHash ....................   Passed    0.01 sec
      Start 16: test_g2bmm
16/29 Test  16: test_g2bmm .......................   Passed    0.14 sec
      Start 17: test_guidedDLT
17/29 Test  17: test_guidedDLT ...................   Passed    0.07 sec
      Start 18: test_matchConv
18/29 Test  18: test_matchConv ...................   Passed    0.02 sec
      Start 19: test_matchElementWise
19/29 Test  19: test_matchElementWise ............   Passed    0.02 sec
      Start 20: test_matchMatmul
20/29 Test  20: test_matchMatmul .................   Passed    0.02 sec
      Start 21: test_matchReshape
21/29 Test  21: test_matchReshape ................   Passed    0.02 sec
      Start 22: test_memboundOp
22/29 Test  22: test_memboundOp ..................   Passed    0.02 sec
      Start 23: test_mergeStage
23/29 Test  23: test_mergeStage ..................   Passed    0.01 sec
      Start 24: test_oobChecker
24/29 Test  24: test_oobChecker ..................   Passed    0.02 sec
      Start 25: test_rangeMagnify
25/29 Test  25: test_rangeMagnify ................   Passed    0.02 sec
      Start 26: test_relaxation
26/29 Test  26: test_relaxation ..................   Passed    0.02 sec
      Start 27: test_serializer
27/29 Test  27: test_serializer ..................   Passed    0.03 sec
      Start 28: test_simplify
28/29 Test  28: test_simplify ....................   Passed    0.02 sec
      Start 29: test_subset
29/29 Test  29: test_subset ......................   Passed    0.00 sec

100% tests passed, 0 tests failed out of 29

Total Test time (real) = 100.65 sec
```

* Remove out-of-date tests

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
2022-09-13 15:17:22 +08:00
zhengly123 93f86d3f4d
Simplify tensor transfer between CPU and CUDA (#10)
* Add: OP infers data type  & Graph clones tensor

* Fix: vecToString format

* Add: static assert for Tensor methods

* Rename: getDataRawPtr -> getRawDataPtr

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
2022-08-25 11:29:16 +08:00
zhengly123 04ea5eed38
Add CUDA runtime (#6)
* Fix: add warm-up and repetition in timing

* Add: CUDA runtime and float support

* Refactor: Cuda and Cpu runtimes inherit Runtime

* Add: environment script for Lotus

* Add: Lotus build instructions

* Update README.md

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
2022-08-22 15:01:03 +08:00
zhengly123 9303ddda8e
Add Conv operator and naive CPU implemenation (#5)
* Add: Conv definition

* Add: tensor copy data from vector

* Add: CPU conv kernel

* Fix: replace Int32 with UInt32 in DataType

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
2022-08-17 14:16:01 +08:00
zhengly123 a26890abce
Tensor hash and inferShape (#4)
* Refactor: operator hash and inferShape

* Add: hash without shape

* Add: inferShape interface for given input tensors

* Add: construct outputs in op ctor

* Add: comments for matmul

* Add: opType in AttrVector and WorkloadVector

* Chore: _graph -> graph in Op ctor

* Chore: change the "Node" suffix to "Obj"

Co-authored-by: Liyan Zheng <liyan-zheng@outlook.com>
2022-08-15 15:08:56 +08:00
Liyan Zheng 8b685ae4a6 Update: OpAttrs -> OpPerfKey 2022-08-09 14:58:45 +08:00
Liyan Zheng efa966a3e2 Add: perf engine 2022-08-07 21:12:17 +08:00
Liyan Zheng 6c356d5b42 Add: kernel registry and naive Matmul kernel 2022-08-06 15:58:40 +08:00
Liyan Zheng 559be5866d Add: Matmul operator 2022-08-05 12:50:34 +08:00
Liyan Zheng e6101b0336 Add: graph, tensor, and operator 2022-07-31 21:44:03 +08:00