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Check whether the expand_shape parameter is legal #6812

Merged
merged 8 commits into from
Nov 21, 2021
Merged

Check whether the expand_shape parameter is legal #6812

merged 8 commits into from
Nov 21, 2021

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Ldpe2G
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@Ldpe2G Ldpe2G commented Nov 18, 2021

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@Ldpe2G Ldpe2G requested a review from hjchen2 November 18, 2021 14:10
@oneflow-ci-bot oneflow-ci-bot removed their request for review November 19, 2021 00:58
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CI failed, removing label automerge

@oneflow-ci-bot oneflow-ci-bot removed their request for review November 19, 2021 06:44
@oneflow-ci-bot oneflow-ci-bot removed their request for review November 19, 2021 09:54
@oneflow-ci-bot oneflow-ci-bot removed their request for review November 19, 2021 10:46
@oneflow-ci-bot oneflow-ci-bot removed their request for review November 20, 2021 08:04
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Speed stats: 
GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 136.9ms (= 13690.9ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 141.6ms (= 14157.6ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.03 (= 141.6ms / 136.9ms)

OneFlow resnet50 time: 79.6ms (= 7962.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 86.1ms (= 8613.0ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.08 (= 86.1ms / 79.6ms)

OneFlow resnet50 time: 52.1ms (= 10429.9ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 60.1ms (= 12026.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.15 (= 60.1ms / 52.1ms)

OneFlow resnet50 time: 44.5ms (= 8902.9ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 47.9ms (= 9582.1ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.08 (= 47.9ms / 44.5ms)

OneFlow resnet50 time: 39.8ms (= 7953.4ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 39.8ms (= 7955.6ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.00 (= 39.8ms / 39.8ms)

OneFlow resnet50 time: 157.7ms (= 15766.1ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 160.6ms (= 16059.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.02 (= 160.6ms / 157.7ms)

OneFlow resnet50 time: 100.5ms (= 10045.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 104.4ms (= 10440.0ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.04 (= 104.4ms / 100.5ms)

OneFlow resnet50 time: 75.7ms (= 15132.9ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.4ms (= 14871.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.98 (= 74.4ms / 75.7ms)

OneFlow resnet50 time: 69.6ms (= 13912.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 66.1ms (= 13218.0ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.95 (= 66.1ms / 69.6ms)

OneFlow resnet50 time: 66.7ms (= 13342.6ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 60.1ms (= 12028.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.90 (= 60.1ms / 66.7ms)

@oneflow-ci-bot oneflow-ci-bot removed their request for review November 20, 2021 14:40
@oneflow-ci-bot oneflow-ci-bot requested review from oneflow-ci-bot and removed request for oneflow-ci-bot November 21, 2021 00:48
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Speed stats: 
GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 136.9ms (= 13685.4ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 139.6ms (= 13964.1ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.02 (= 139.6ms / 136.9ms)

OneFlow resnet50 time: 78.9ms (= 7892.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 88.6ms (= 8859.3ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.12 (= 88.6ms / 78.9ms)

OneFlow resnet50 time: 53.2ms (= 10644.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.4ms (= 11687.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.10 (= 58.4ms / 53.2ms)

OneFlow resnet50 time: 39.5ms (= 7890.5ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 46.6ms (= 9314.9ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.18 (= 46.6ms / 39.5ms)

OneFlow resnet50 time: 39.0ms (= 7807.2ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 40.5ms (= 8093.4ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.04 (= 40.5ms / 39.0ms)

OneFlow resnet50 time: 157.3ms (= 15725.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 161.5ms (= 16151.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.03 (= 161.5ms / 157.3ms)

OneFlow resnet50 time: 99.9ms (= 9992.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 104.5ms (= 10449.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.05 (= 104.5ms / 99.9ms)

OneFlow resnet50 time: 78.6ms (= 15718.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 75.5ms (= 15106.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.96 (= 75.5ms / 78.6ms)

OneFlow resnet50 time: 71.5ms (= 14302.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 65.0ms (= 13005.1ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.91 (= 65.0ms / 71.5ms)

OneFlow resnet50 time: 69.7ms (= 13937.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 68.1ms (= 13618.2ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.98 (= 68.1ms / 69.7ms)

@oneflow-ci-bot oneflow-ci-bot merged commit 2852a26 into master Nov 21, 2021
@oneflow-ci-bot oneflow-ci-bot deleted the dev_add_expand_check branch November 21, 2021 01:43
jackalcooper added a commit that referenced this pull request Dec 1, 2021
@jackalcooper @ouyangyu
@oneflow-ci-bot @daquexian @guo-ran @liujuncheng @lixiang007666 @dssgsra @simonJJJ @lixinqi @Ldpe2G @MARD1NO @liufengwei0103 @Flowingsun007 @strint @clackhan @dangkai4u @BBuf @chengtbf @hjchen2 @VertexC @HENGRui6 @doombeaker @tingkuanpei @grybd @Garfieldgzhh @wyg1997 @PragmaTwice @luqiang-guo
Refactor jit interpreter with updated ods (#6899)
f14b1b1 
* Rename class OneflowVM to VirtualMachine (#6753)

* Rename class OneflowVM to VirtualMachine

* refine

* refine

* refine

Co-authored-by: oneflow-ci-bot <[email protected]>

* upgrade cub to 1.11.0 for NVIDIA/cub#170 (#6795)

Signed-off-by: daquexian <[email protected]>

Co-authored-by: oneflow-ci-bot <[email protected]>

* lazy create cuda_stream  (#6806)

* lazy create cuda_stream in CudaCopyD2HDeviceCtx CudaStreamHandleDeviceCtx

* refine

* Remove KernelContext::stream_ctx() (#6805)

* Remove KernelContext::stream_ctx()

* fix GetCudaAlignedSize

* refine

* Remove StreamContextAdapter

* refine include

Co-authored-by: oneflow-ci-bot <[email protected]>

* add tensor method docstr (#6800)

* add tensor method docstr

* add tensor method docstr

* add tensor method docstr

* add tensor method docstr

* add tensor method docstr

* add tensor method docstr

* add tensor method docstr

* fix ci related bug

* set common compiler flags in oneflow_add_library(...), enable it for CUDA (#6813)

* apply treating warnings as errors in oneflow_add_library(...), enable it to CUDA

Signed-off-by: daquexian <[email protected]>

* support target_try_compile_options on clang cuda

Signed-off-by: daquexian <[email protected]>

* reorder oneflow_add_library

Signed-off-by: daquexian <[email protected]>

* add cuda-61-clang.cmake and cuda-75-clang.cmake

Signed-off-by: daquexian <[email protected]>

* move oneflow_add_xxx after set_compile_options_to_oneflow_target

Signed-off-by: daquexian <[email protected]>

* reformat

Signed-off-by: daquexian <[email protected]>

Co-authored-by: oneflow-ci-bot <[email protected]>

* Use ep::Stream instead of DeviceCtx (#6825)

* remove redundant code (#6807)

* Prevent CI failure when cublas alloc fail (#6826)

* Dev nms (#6817)

* fix typo

* dev nms

* fix

* fix

* fix format

* skip distribute test

Co-authored-by: oneflow-ci-bot <[email protected]>

* Refactor vm consuming (#6748)

* refactor PhyInstrOperand::ForEachXXXMirroredObject

* remove ForEachXXXMirroredObject4XXXPhyInstrOperand

* reduce for-loops for InstructionList

* reduce for-loops on InstructionMsgList

* refactor MakeInstructions

* refactor PhyInstrOperand::ForEachXXXMirroredObject

* 1) refactor ConnectInstruction to TryConnectInstruction; 2) refactor BackInserter to SetInserter

* create RwMutextObjectAccess/InstructionEdge from intrusive::ObjectPool

* refactor profiler range name

* fix barrier instruction comment typos

* fix compiler complaints

* Update oneflow/core/intrusive/object_pool.h

Co-authored-by: daquexian <[email protected]>

* fix static analysis complaints

Co-authored-by: daquexian <[email protected]>
Co-authored-by: oneflow-ci-bot <[email protected]>

* Add init method docstr modify int to int32 (#6828)

* Add nn.init method docstr, and modify np.int

* Add nn.init method docstr, and modify np.int

* Check  whether the expand_shape parameter is legal (#6812)

* check parameters

* simplify logic

* fix ci error

Co-authored-by: oneflow-ci-bot <[email protected]>

* refactor local call opkernel instruction (#6733)

* remove CheckOutputBlobObjectsMemCase

* move calling of ChooseOpKernel from scheduler thread to main thread.

* address pr comments

Co-authored-by: oneflow-ci-bot <[email protected]>

* one_hot primitive interface (#6796)

* one_hot primitive interface

* refine

* refine

Co-authored-by: oneflow-ci-bot <[email protected]>

* revert DependenceVector to std::vector (#6835)

* fix indexed slice for adam max_x (#6824)

Co-authored-by: ZZK <[email protected]>
Co-authored-by: oneflow-ci-bot <[email protected]>

* set str option (#6832)

* set str option

* refine

* refine

* fix

* refine

* fix

* fix

* refine

* refine

* refine

* fix

Co-authored-by: oneflow-ci-bot <[email protected]>

* Empty op support float16 (#6847)

* support fp16

* add float16 test case

* add graph cudnn conv alg config (#6799)

Co-authored-by: oneflow-ci-bot <[email protected]>

* Dev vm view instruction (#6815)

* shallow copy

* try reset blob data

* refine

* debug

* raw implementation

* refine

* refine

* to_contiguous op

* reine

* refine

* refine

* set_last_used_device

* refine

* raw implementation

* debug

* replace TryResetBlobData with SyncAccessBlobByCallback

* tensor_view_instruction

* refine

* tensor_view_operand

* remove tensor_view_phy_instr_operand

* refine

* refine

* refine

* restruct

* refine

* refine

* refine

* refine

* Remove deafult l2 and use bias add in lazy mode (#6844)

* remove_deafult_l2_and_use_bias_add_in_lazy_mode

* minor fix

* minor fix

* undo bais add

Co-authored-by: oneflow-ci-bot <[email protected]>

* Add arccos op and docstr (#6841)

* Add arccos op and docstr

* fix docstr format

Co-authored-by: oneflow-ci-bot <[email protected]>

* add some fused kernels (#6635)

* fix errors, op with dropout successes, but op without dropout has error

* fix errors, success

* fix typo error

* test dropout

* add comments

* fix typos

* change format

* reformat file

* fix error

* change format

* remove useless head file

* fix errors

* fix errors

* reformat

* fix errors

* reformat

* fix errors

Co-authored-by: oneflow-ci-bot <[email protected]>
Co-authored-by: ZZK <[email protected]>

* Add CUDA arch 52 back and compile it in CI (#6802)

* Add CUDA arch 53 back and compile it in CI

* fix cuda

* fix

* don't build 52 by default

* rm comment

Co-authored-by: oneflow-ci-bot <[email protected]>

* [EP] Add ep::Device/ep::Event (#6851)

* [EP] Add ep::Device/ep::Event

* Refine ActiveDeviceContext

* fix

* refine include

* fix tidy error

* fix cudaEventRecord

* fix test

* refine

* Fix FuseBN eval error (#6836)

* fix arange bug

* fix fuse bn

* Remove redundant saved_tensor

* fix bug

* add more test case

* add more random test case

* add fuse functor when track_stats=false

* fix backward errror when track_stats=false

Co-authored-by: oneflow-ci-bot <[email protected]>

* Remove KernelXxxContext::device_ctx()/device_ctx() (#6862)

* pool code refine (#6853)

* pool code refine

* refine

* format

* fix static analysis error

* fix max_pool_2d_grad name

* prefix tf is used to pool functor name

* fix

Co-authored-by: oneflow-ci-bot <[email protected]>

* Add cpu group conv impl (#6823)

* add cpu group conv kernel, test success

* add group conv cpu backward kernel

* rename

* update test case

* fix comment

* fix comments

* fix comment

* optimize again and fix ci eroor

* fix error

* fix ci error

* fix ci_tidy error

* fix ci error

* revert code

* fix bug

* delete useless file

* delete useless file

* fix ci error

Co-authored-by: oneflow-ci-bot <[email protected]>

* Add nsys profile host thread name (#6865)

Co-authored-by: oneflow-ci-bot <[email protected]>

* Rename DeviceType::kGPU to DeviceType::kCUDA (#6863)

* Rename DeviceType::kGPU to DeviceType::kCUDA

* fix

* fix typo

Co-authored-by: oneflow-ci-bot <[email protected]>

* Check modify op module (#6860)

* Add arccos op and docstr

* Check and modify Op module

* delete register_tensor_op

* Fix random ops (#6868)

Co-authored-by: Bowen Chen <[email protected]>
Co-authored-by: oneflow-ci-bot <[email protected]>

* fix docstr problem (#6554)

* fix docstr problem

* fix

* Update random.py

Co-authored-by: Yao Chi <[email protected]>

* fix retinanet (#6870)

Co-authored-by: oneflow-ci-bot <[email protected]>

* Optimize LayerNorm Forward (#6842)

* layer_norm forward

* test case

* rm useless

* int count to T count

* fix

* fix T mask to int mask, refine code

* refine

* refine

* test case

* format

* fix

Co-authored-by: oneflow-ci-bot <[email protected]>

* Refactor last used device (#6852)

* move last_used_device

* refine

* refine

* fix pipeline delay ctrl edge between src subset tick and output (#6881)

Co-authored-by: oneflow-ci-bot <[email protected]>

* Support OpenVINO in xrt (#6709)

* Support openvino in xrt

* OpenVINO: add graph input and weight in op

* OpenVINO: support more op

* update follow review

* update follow review

* update follow review

* Add doc for graph_config.py

* update follow review

* update follow review

* modify after review

* format

* add xrt in check_src.py

Co-authored-by: oneflow-ci-bot <[email protected]>

* Dev optimize std vector (#6630)

* use reserve

* use emplace_back

* refine

* remove useless codes (#6859)

* remove useless codes

* fix index_select

* fix expand error

* fix expand error

Co-authored-by: oneflow-ci-bot <[email protected]>

* add alpha parameter in add_op (#6867)

* add alpha parameter in add_op

* format

* refine

* refine

* refine

* fix bug about dtype caused by alpha

Co-authored-by: oneflow-ci-bot <[email protected]>

* add fallback to cpu builder (#6582)

* add fallback to cpu slice boxing

* fix

* fix

* merge master

* format

* fix

* modify graph.py (#6884)

Co-authored-by: oneflow-ci-bot <[email protected]>

* fix eye op attr name error (#6873)

* fix eye op attr name error

* refine

* refine

* fix

* delete useless attr

Co-authored-by: oneflow-ci-bot <[email protected]>

* add inplace mul (#6861)

* init commit for inplace mul

* fix issue, format code

* add tests and fix issues

* format code

* delete redundant code

* Update oneflow/core/functional/impl/binary_functor.cpp

Co-authored-by: Yinggang Wang <[email protected]>

* refine

* fix unit test

* fix bug

* refine

* fix unittests

* add boardcast test

* refine

* refine

* fix ci issue

Co-authored-by: Yinggang Wang <[email protected]>

* Dev roialign (#6879)

* dev roialign

* testcase

* fux

* fix

Co-authored-by: oneflow-ci-bot <[email protected]>

* Pick Variant from Standalone Maybe (#6856)

* refactor maybe: add variant

* maybe: add optional and tests

* maybe: add hash for optional & variant; support NullOpt for both optional & variant

* maybe: more notes

* maybe: binary search impl for Variant::Visit

* maybe: add more relational operator to optional & variant

* maybe: add nonstd::string_view

* maybe: fix construct of optional & variant

* maybe: support comparision for optional & variant

* maybe: add monadic operations for optional

* maybe: add error traits

* maybe: add JUST and Maybe

* maybe: remove useless comment

* maybe: add more test

* maybe: customizable JUST

* maybe: add Map and Bind (AndThen) to Maybe

* maybe: re-design JustConfig

* maybe: rename xxxT to xxxS

* maybe: fix method names

* maybe: add maybe to cmake

* maybe: fix error traits

* maybe: rename fields & add aggregate type checking

* maybe: move string_view to new file

* maybe: rename fields for optional and error

* maybe: new Value (no index checking, protected method) and Get (has check, public method)

* maybe: remove DefaultArgument

* Pick Variant from Standalone Maybe

Co-authored-by: oneflow-ci-bot <[email protected]>

* Limit CI run speed test on one machine (#6891)

* Run speed test on one machine

* fix

* Add oneDNN (#6767)

* add onednn cmake

* add onednn stream engine

* Successfully implement addn

* add int64 double

* optimization voctor

* fix

* fix  merge master error

* fix merge  master

* fix merge error

* Add BUILD_ONEDNN cmake flags

* fix format

* fix  onednn datatype

* optmizer  onedn  type

* modified for(n) => for(i)

* modified ci

* modified oneDNN.cmake

* fix  clang 10 error

* rename BUILD_ONEDNN

* Delete oneDNN installation path by mistake

* fix ci error, c++: error: third_party_install/onednn/lib/libdnnl.a: No such file or directory

* include(GNUInstallDirs)

* print  ci error

* reformat

* Only the first parameter can be operated inplace

* format

* fix inlcude onednn, add clang 11 support  refernce

Co-authored-by: oneflow-ci-bot <[email protected]>

* Rework op import with new ods (#6883)

* add naive impl

* refine

* refine

* refine

* add naive gen td

* refine

* refine

* fix

* refine

* refine

* refine

* sort alphabetically

* support optional

* support Variadic

* refine

* refine

* add conv

* add input output order

* add todo

* add todo

* refine

* refine

* refine

* refine

* naive bn order interface

* fix includes

* refine

* refine

* refine

* refine

* group ops

* refine order

* add math

* refine

* refine

* refine

* refine

* refine

* refine

* add quantization ops

* refine

* refine

* add detection

* fix

* refien

* add new .td generated

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* Use generated ods in mlir (#6857)

* refine

* check in changes

* refine

* move pattern to another file

* compile grouped op

* refine

* add todo

* fix

* add GetUserOpDef in wrapper

* check in files

* refine

* refine

* fix

* refine

* refine

* refine

* refine

* refine

* refine

* refine tablegen

* refine

* fix

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refien

* refine

* refine

* refine

* refine

* fix

* refine

* rm log

* refine

* refine

* make ctrl edge type safe

* refine

* refine

* refine

* rm legacy code

* refine

* refien

* refine

* dirty trick addn2 without variadic deduction

* fix jit op

* refine

* extract GetOutputLbn

* refine

* fix for single seg

* refine

* rm todo

* update .mlir file

* refine

* add todo

* refine

* refine

* refine

* refine

* refine

* add log

* refine

* refine

* make op_type_name type safe

* refine

* refine

* refine

* delete trainable

* add IsOpConfCompatible

* add IsImportCompatible

* refine

* refien

* mv ir_pass.cpp out of core

* refine

* refine

* refine

* refine

* refine

* refine

* gen new ods from master

* refine

* refine

* update for tf pool ops

* refine

* refine

* refine

* refine APIs

* refine order

* rm

* rm output_lbn_segment_keys

* output_lbn_segment_sizes

* rm output_lbns

* refine

* refine

* refine

* refine

* fmt

* use less cores to prevent OOM in CI

* refine

* refine

Co-authored-by: BBuf <[email protected]>
Co-authored-by: oneflow-ci-bot <[email protected]>

* add cudnn.h (#6886)

Co-authored-by: oneflow-ci-bot <[email protected]>
Co-authored-by: Shenghang Tsai <[email protected]>

* refine

* refactor jit interpreter with updated ODS

* refine

Co-authored-by: Yu OuYang <[email protected]>
Co-authored-by: oneflow-ci-bot <[email protected]>
Co-authored-by: daquexian <[email protected]>
Co-authored-by: guo ran <[email protected]>
Co-authored-by: Juncheng <[email protected]>
Co-authored-by: Li Xiang <[email protected]>
Co-authored-by: dssgsra <[email protected]>
Co-authored-by: Shijie <[email protected]>
Co-authored-by: Li Xinqi <[email protected]>
Co-authored-by: Liang Depeng <[email protected]>
Co-authored-by: ZZK <[email protected]>
Co-authored-by: liufengwei0103 <[email protected]>
Co-authored-by: Luyang <[email protected]>
Co-authored-by: Xiaoyu Xu <[email protected]>
Co-authored-by: binbinHan <[email protected]>
Co-authored-by: DangKai <[email protected]>
Co-authored-by: Xiaoyu Zhang <[email protected]>
Co-authored-by: cheng cheng <[email protected]>
Co-authored-by: Houjiang Chen <[email protected]>
Co-authored-by: Bowen Chen <[email protected]>
Co-authored-by: Derek Zhang <[email protected]>
Co-authored-by: Yao Chi <[email protected]>
Co-authored-by: tingkuanpei <[email protected]>
Co-authored-by: grybd <[email protected]>
Co-authored-by: oneflow-ci-bot <[email protected]>
Co-authored-by: Zhanghuihong Guan <[email protected]>
Co-authored-by: Yinggang Wang <[email protected]>
Co-authored-by: Twice <[email protected]>
Co-authored-by: luqiang guo <[email protected]>
Co-authored-by: BBuf <[email protected]>
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@hjchen2 hjchen2 hjchen2 approved these changes

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