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Dev inplace clamp #7182

Merged
merged 21 commits into from
Jan 7, 2022
Merged

Dev inplace clamp #7182

merged 21 commits into from
Jan 7, 2022

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MARD1NO
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@MARD1NO MARD1NO commented Jan 4, 2022 •
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@MARD1NO MARD1NO marked this pull request as ready for review January 5, 2022 04:52
@MARD1NO MARD1NO requested review from BBuf and Ldpe2G January 5, 2022 04:52
@MARD1NO MARD1NO requested a review from oneflow-ci-bot January 5, 2022 07:15
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github-actions bot commented Jan 5, 2022

Speed stats: 
GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 137.7ms (= 13765.8ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 140.6ms (= 14060.1ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.02 (= 140.6ms / 137.7ms)

OneFlow resnet50 time: 78.9ms (= 7885.9ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 85.0ms (= 8501.0ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.08 (= 85.0ms / 78.9ms)

OneFlow resnet50 time: 50.1ms (= 10014.0ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 53.8ms (= 10768.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.08 (= 53.8ms / 50.1ms)

OneFlow resnet50 time: 42.1ms (= 8411.4ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 46.0ms (= 9190.2ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.09 (= 46.0ms / 42.1ms)

OneFlow resnet50 time: 38.6ms (= 7726.9ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 39.5ms (= 7903.7ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.02 (= 39.5ms / 38.6ms)

OneFlow resnet50 time: 153.8ms (= 15378.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 161.9ms (= 16189.8ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.05 (= 161.9ms / 153.8ms)

OneFlow resnet50 time: 94.2ms (= 9423.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 100.9ms (= 10091.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.07 (= 100.9ms / 94.2ms)

OneFlow resnet50 time: 70.5ms (= 14108.1ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 75.1ms (= 15020.3ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.06 (= 75.1ms / 70.5ms)

OneFlow resnet50 time: 58.4ms (= 11674.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 60.9ms (= 12174.7ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.04 (= 60.9ms / 58.4ms)

OneFlow resnet50 time: 62.7ms (= 12545.2ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 64.2ms (= 12835.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.02 (= 64.2ms / 62.7ms)

@MARD1NO MARD1NO requested review from oneflow-ci-bot and removed request for oneflow-ci-bot January 6, 2022 00:16
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github-actions bot commented Jan 6, 2022

CI failed when running job: cuda-module. PR label automerge has been removed

@github-actions github-actions bot removed the automerge label Jan 6, 2022
@oneflow-ci-bot oneflow-ci-bot removed their request for review January 6, 2022 01:45
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github-actions bot commented Jan 6, 2022

Speed stats: 
GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 136.1ms (= 13605.1ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 145.5ms (= 14546.2ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.07 (= 145.5ms / 136.1ms)

OneFlow resnet50 time: 79.7ms (= 7968.1ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 85.6ms (= 8557.3ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.07 (= 85.6ms / 79.7ms)

OneFlow resnet50 time: 50.0ms (= 9994.3ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 54.9ms (= 10970.8ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.10 (= 54.9ms / 50.0ms)

OneFlow resnet50 time: 41.8ms (= 8360.0ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 47.8ms (= 9558.4ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.14 (= 47.8ms / 41.8ms)

OneFlow resnet50 time: 39.7ms (= 7941.6ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 38.0ms (= 7605.6ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 0.96 (= 38.0ms / 39.7ms)

OneFlow resnet50 time: 153.4ms (= 15340.0ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 160.5ms (= 16047.0ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.05 (= 160.5ms / 153.4ms)

OneFlow resnet50 time: 95.2ms (= 9520.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 108.5ms (= 10848.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.14 (= 108.5ms / 95.2ms)

OneFlow resnet50 time: 70.4ms (= 14084.5ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.0ms (= 14792.9ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.05 (= 74.0ms / 70.4ms)

OneFlow resnet50 time: 62.8ms (= 12558.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 62.8ms (= 12551.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.00 (= 62.8ms / 62.8ms)

OneFlow resnet50 time: 61.8ms (= 12362.1ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 58.0ms (= 11593.5ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.94 (= 58.0ms / 61.8ms)

@oneflow-ci-bot oneflow-ci-bot requested review from oneflow-ci-bot and removed request for oneflow-ci-bot January 6, 2022 06:22
@oneflow-ci-bot oneflow-ci-bot requested review from oneflow-ci-bot and removed request for oneflow-ci-bot January 6, 2022 08:03
@oneflow-ci-bot oneflow-ci-bot requested review from oneflow-ci-bot and removed request for oneflow-ci-bot January 6, 2022 08:36
@oneflow-ci-bot oneflow-ci-bot requested review from oneflow-ci-bot and removed request for oneflow-ci-bot January 6, 2022 10:49
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github-actions bot commented Jan 6, 2022

Speed stats: 
GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 136.1ms (= 13607.5ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 139.9ms (= 13989.0ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.03 (= 139.9ms / 136.1ms)

OneFlow resnet50 time: 78.1ms (= 7806.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 84.7ms (= 8470.6ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.09 (= 84.7ms / 78.1ms)

OneFlow resnet50 time: 54.3ms (= 10866.3ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 58.0ms (= 11605.8ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.07 (= 58.0ms / 54.3ms)

OneFlow resnet50 time: 33.4ms (= 6673.7ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 50.1ms (= 10024.4ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.50 (= 50.1ms / 33.4ms)

OneFlow resnet50 time: 33.7ms (= 6747.5ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 39.4ms (= 7875.0ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.17 (= 39.4ms / 33.7ms)

OneFlow resnet50 time: 151.8ms (= 15182.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 158.3ms (= 15829.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.04 (= 158.3ms / 151.8ms)

OneFlow resnet50 time: 93.9ms (= 9389.4ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 96.8ms (= 9680.1ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.03 (= 96.8ms / 93.9ms)

OneFlow resnet50 time: 69.9ms (= 13976.9ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 82.1ms (= 16418.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.17 (= 82.1ms / 69.9ms)

OneFlow resnet50 time: 59.1ms (= 11811.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 61.6ms (= 12320.7ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.04 (= 61.6ms / 59.1ms)

OneFlow resnet50 time: 63.4ms (= 12677.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 58.2ms (= 11645.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.92 (= 58.2ms / 63.4ms)

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github-actions bot commented Jan 6, 2022

CI failed when running job: cpu-misc. PR label automerge has been removed

@github-actions github-actions bot removed the automerge label Jan 6, 2022
@oneflow-ci-bot oneflow-ci-bot removed their request for review January 6, 2022 19:27
@oneflow-ci-bot oneflow-ci-bot removed their request for review January 7, 2022 01:57
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Speed stats: 
GPU Name: GeForce GTX 1080 

OneFlow resnet50 time: 137.7ms (= 13768.9ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 140.2ms (= 14018.6ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.02 (= 140.2ms / 137.7ms)

OneFlow resnet50 time: 79.0ms (= 7905.0ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 83.2ms (= 8318.8ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.05 (= 83.2ms / 79.0ms)

OneFlow resnet50 time: 49.5ms (= 9891.7ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 53.8ms (= 10768.9ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.09 (= 53.8ms / 49.5ms)

OneFlow resnet50 time: 39.9ms (= 7986.1ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 45.0ms (= 9007.4ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.13 (= 45.0ms / 39.9ms)

OneFlow resnet50 time: 39.7ms (= 7937.1ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 42.3ms (= 8450.2ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.06 (= 42.3ms / 39.7ms)

OneFlow resnet50 time: 154.2ms (= 15420.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 159.2ms (= 15924.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.03 (= 159.2ms / 154.2ms)

OneFlow resnet50 time: 94.6ms (= 9456.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 106.5ms (= 10646.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.13 (= 106.5ms / 94.6ms)

OneFlow resnet50 time: 70.4ms (= 14081.6ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 74.4ms (= 14884.1ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.06 (= 74.4ms / 70.4ms)

OneFlow resnet50 time: 61.9ms (= 12379.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 61.5ms (= 12297.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.99 (= 61.5ms / 61.9ms)

OneFlow resnet50 time: 66.8ms (= 13365.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 62.2ms (= 12448.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 0.93 (= 62.2ms / 66.8ms)

@oneflow-ci-bot oneflow-ci-bot merged commit 33bf4e0 into master Jan 7, 2022
@oneflow-ci-bot oneflow-ci-bot deleted the dev_inplace_clamp branch January 7, 2022 04:54
Yipeng1994 pushed a commit that referenced this pull request Jan 20, 2022
@wyg1997 @lixinqi
@oneflow-ci-bot @ouyangyu @daquexian @leaves-zwx @strint @simonJJJ @lixiang007666 @BBuf @clackhan @Flowingsun007 @chengtbf @MARD1NO @jackalcooper @PragmaTwice @hjchen2 @luqiang-guo @mosout @liujuncheng @zzk0 @VertexC @doombeaker @liufengwei0103 @lcylcy @guo-ran @wyushun @grybd @hengzi @tangnana925 @dangkai4u @Garfieldgzhh @taoteo @Ldpe2G
Merge auto parallel update (#7280)
2824513 
* Source op per critical section (#6472)

* backup code

* EventRecord

* auto format by CI

* backup code

* remove deprecated binary test cases

* refactor valatile to atomic

* add StreamType::InitInstructionStatusIf/StreamType::DeleteInstructionStatusIf

* merge from branch profiling_nn_graph

* address comments

* EventRecordProvider

* more comments for XXXStatusQuerier::SetLaunched

* more comments for SharedEventRecord::Init

* wait source op per critical section

* rename a task_node.cpp

* minor fix

* backup code

* fix compiler complaints

* 1) remove AddCtrlEdgeBetweenSrcDstTickAndInputOutputInSameRank; 2) create CriticalSectionInstance buffers

* fix compiler complaints

* more profiler code

* refactor vm preschedule

* TryMoveFromWaitingToReady

* revert flying_instruction_cnt

* revert to single position to call DispatchInstruction

* revert several code

* reset instruction watermark

* remove is_xxx_hook_empty

* build with profiler

* merge master

* insert device ticks before and after critical sections

* refactor register_num of cs_wait/cs_callback from 2 to 128

* fix static analysis complaints

* fix complier complaints about JobBuilder::ParallelConf4OpName

* Update oneflow/core/operator/critical_section_wait_tick_op.cpp

Co-authored-by: daquexian <daquexian566@gmail.com>

* address pr comments

* add job example for InstructionsBuilder::LaunchLazyJob

* address pr comments

Co-authored-by: oneflow-ci-bot <ci-bot@oneflow.org>
Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>
Co-authored-by: ouyangyu <xuanjiuye@gmail.com>
Co-authored-by: daquexian <daquexian566@gmail.com>

* More details of error of getting op matched sbp signature (#7077)

* more details of error msg

* minor change

* address review comment

* avoid namesake iterator

* Module apply only once (#7055)

* add once apply of param

* apply once on buffer

* test reuse var on module to

* test resue var

* rm useless test

* finish test

* refine test

Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* distributed test bugfix (#7057)

* change spawn_shell to spawn_shell_and_check, sleep in script

Signed-off-by: daquexian <daquexian566@gmail.com>

* fix distributed test master addr

Signed-off-by: daquexian <daquexian566@gmail.com>

* remove sleep

Signed-off-by: daquexian <daquexian566@gmail.com>

* spawn_shell -> spawn_shell_ignoring_failure

Signed-off-by: daquexian <daquexian566@gmail.com>

* auto format by CI

* fix bug

Signed-off-by: daquexian <daquexian566@gmail.com>

* auto format by CI

* fix the reversed logic

Signed-off-by: daquexian <daquexian566@gmail.com>

* improve error msg

Signed-off-by: daquexian <daquexian566@gmail.com>

* resolve name conflict of MASTER_ADDR

Signed-off-by: daquexian <daquexian566@gmail.com>

Co-authored-by: oneflow-ci-bot <ci-bot@oneflow.org>
Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* fix promote_type matrix (#7066)

Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* fix chunk op dim=-1 bug (#7073)

* fix chunk op dim=-1 bug

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

Co-authored-by: Xiaoyu Zhang <35585791+BBuf@users.noreply.github.com>

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

Co-authored-by: Xiaoyu Zhang <35585791+BBuf@users.noreply.github.com>

Co-authored-by: Xiaoyu Zhang <35585791+BBuf@users.noreply.github.com>
Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* Fix resource desc dump cudnn conf bug (#7038)

* fix Resource::DumpCudnnConf

* fix typo and error msg

Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* fix concat bug (#7075)

* fix

* support concat single input

* Clean TensorNameScope after graph build (#7076)

* Clear tensor name scope after graph build

* Add test case of 2 graph caught same free eager tensor

* auto format by CI

Co-authored-by: oneflow-ci-bot <ci-bot@oneflow.org>
Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* fix_abnormal_printing (#7099)

* Fix bias add dropout fuse (#7081)

* fix bias_add dropout fuse when p=0.0

* remove redundant op

Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* Support 1d to 2d eager boxing (#7083)

* fix Resource::DumpCudnnConf

* support_1d_to_2d_eager_boxing

* rename stack to unflatten

* add test case

* of format

* refine test case

* Revert "fix Resource::DumpCudnnConf"

This reverts commit f07278d.

* support nd to 1d

* add 2d to 1d test case

Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* Implement all User Ops with Op Schema (#7032)

* add oneflow-tblgen: generate op schema (OpInterpCtx) from ods

* cmake: add inja

* tblgen: add oneflow_datatype

* tblgen: use option cat

* tblgen: fix error

* tblgen: put impl in .cpp

* tblgen: fix null attrs

* tblgen: fix null ops

* refine

* refine

* reifne

* Refine op schema template and compilation

* add base OpInterpCtx to finish compilation

* fix

* refine

* fix

* add custom infer code

* generate op registrants automatically

* refine

* fix

* update user op ods and fix shape attr

* refine

* refine

* add custom code in op base

* refine comments

* add same_output_regst_num and infer

* support declare hasxx

* update op schema emitter

* refine

* emit output regist num

* refine

* refine

* migrate acc op

* migrate onerec_reader, ones_like, send, pack and padding ops

* add has_sbp_signature_infer_fn

* refine

* migrate pad, parallel_cast, partial_fc and pooling ops

* rm redundant has_device_infer_fn

* migrate prelu, quantization, randperm, reduce and repeat ops

* migrate reshape, reshape_like, roi_align, same_pad, selu and scalar related ops

* back port

* backport

* migrate ops

* refine

* refine

* refine

* refine

* add new op

* fix llvm not found

* fix mlir headers

* fix mlir headers

* fix llvm not found

* irefine

* mark override

* fix merge

* fix

* fix

* set op schema as obj lib to speed up

* rewrite ops

* add addn

* add grdi

* refien

* add more def (#7051)

* affine grid

* refien

* refine

* refine

* refine

* fix

* refien

* refine

* refine

* refine

* refine

* refine

* refien

* refine

* refine

* refein

* refine

* refine

* refine

* refine

* refien

* refine

* refine

* refine

* refien

* refien

* refien

* refine

* refine

* refien

* refine

* refine

* refine

* refein

* refine

* refine

* refine

* refine

* refine

* refien

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refein

* refine

* refine

* refine

* move more ops

* fix math_binary_broadcast/elementwise_ops

* fix hardtanh

* add norm

* rename file and add CpuOnly no_grad

* fix ir & fix norm op

* fix oneflow-tblgen

* fix math_unary_elementwise_op

* fix norm

* fix bn

* fix op schema

* refine

* fix

* refine physical_tensor_desc_infer_fn

* refine

* add ScalarLogicalNotEqualOp & RecvOp

* refine

* auto format by CI

* fix fmt

* add cuda only trait

* delete unused inja

* del inja_copy_headers_to_destination

* delete unused inja

* del inja_copy_headers_to_destination

* add cuda only to tblgen

* fix json inja url and md5 not used

* fix json inja url and md5 not used

* refine

* revert

* add with cuda

* refine

* delete GenUserOpODS

* remove cuda only

* revert cuda only after meeting

* fix

Co-authored-by: PragmaTwice <i@twice.moe>
Co-authored-by: hjchen2 <chenhoujiangcug@gmail.com>
Co-authored-by: oneflow-ci-bot <ci-bot@oneflow.org>

* Feat/debug pass (#7054)

* add pass debug

* debug pass

* refine comment of fuse add pass

* auto format by CI

Co-authored-by: oneflow-ci-bot <ci-bot@oneflow.org>
Co-authored-by: oneflow-ci-bot <69100618+oneflow-ci-bot@users.noreply.github.com>

* Fix error message (#6930)

* fix error message

* fix dot doc

* fix dot elem cnt

* auto format by CI

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* fix simple ci: add of_op_schema target to tidy check (#7105)

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* Rename AnyType in .td (#7109)

* AnyType => Tensor

* refine

* refine

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* Feat graph reuse var (#7080)

* add once apply of param

* apply once on buffer

* test reuse var on module to

* test resue var

* rm useless test

* finish test

* refine test

* Clear tensor name scope after graph build

* Add test case of 2 graph caught same free eager tensor

* auto format by CI

* refactor var build draft

* add full func; add check

* done

* add test of call parameter ousite its moudule

* fix break test

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* Fix l2_normalize & add nn.functional.normalize (#6940)

* fix l2_normalize

* add normalize

* add test for normalize

* refine

* clean l2_normalize and refine normalize

* simplify normalize test

* Fix l2norm block_size

* refine

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* Align api in swin transformer (#7058)

* add linspace op

* fix align error in swintransformer

* add @ magic method

* fix conflict

* support tensor list

* fix meshgrid bug

* revert

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* set CMAKE_LINK_DEPENDS_NO_SHARED to ON (#7063)

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* Add other api graph autotest (#7091)

* Clear tensor name scope after graph build

* Add test case of 2 graph caught same free eager tensor

* auto format by CI

* add other api graph autotest

* add more samples

* fix comments

* refine

* refine

* refine

* refine

* refine

* fix error

* fix test error

* fix bug

* fix flip bug

* fix bug

* fix bug

* fix ci bug

* fix ci error

* fix bug

* fix ci error

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* [serving] dev graph run (#7008)

* add cmake changes for liboneflow_cpp.so

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* add separate target for cpp api test

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* add cpp api test in ci

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* graph run

* reverse the order of cudnn and cuda library

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* update logic of BUILD_MONOLITHIC_LIBONEFLOW

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* rename BUILD_MONOLITHIC_LIBONEFLOW to BUILD_MONOLITHIC_LIBONEFLOW_CPP_SO

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* refine

* [draft] implement graph parameter load and save (#7010)

* implement parameter save (python) and load (c++)

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* revert accident changes

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* fix circular reference

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* pimpl

* batching

* share lib directory in test container

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* fix typo;

* add github actions debug

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* Revert "add github actions debug"

This reverts commit 7d9aef6.

* add upterm debug after exe test

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* sleep after fail

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* set LD_LIBRARY_PATH in yml for cpp api test exe

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* refine

* add test file && input order

* sleep

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* upload liboneflow_cpp.so

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* modify cmake to trigger compilation

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* load job from ir && clean && add mlir model

* [remove useless python code]save to .pb

* add target of_common_obj to remove duplicate REGISTER_PASS  && run of_format

* remove openvino

* remove openvino test

* refine

* IValue

* Update oneflow/api/cpp/framework/graph.h

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* refine

* refine

* refine

* refine

* refine

* refine

* rename in oneflow.cmake

* refine oneflow.cmake

* make of_api_common object library

* move device util function in api to core

* remove device check in New and ThreadLocalGetOrNew

* refine

* fix device test

* refine graph test

* refine GetExeDir()

* refine GetExeDir() again

* fix

* refine

* fix

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* disable autograd in lazy mode (#7070)

* disable autograd in lazy mode

* refine

* Fix/rand source op in graph (#7092)

* add test

* fix rand consistent

* add test

* Fix powf (#7106)

* quick fix power

* add int scalar test case

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* Dispatch stateful ops using functional api (#7046)

* Dispatch functional stateful ops

* fix

* fix cmake

* fix

* disable attr check since it may not given when creating op expr.

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* refine

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* Fix HWLoc memory affinity (#7115)

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* add_env_api_docs (#7100)

* add_env_api_docs

* minor fix

* fix grammatical errors

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* tmp skip s0 print because of slice (#7065)

* tmp skip s0 print because of slice

* tmp skip s0 print in test case

* fix

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* indexing first version (#7012)

* indexing first version

* complete

* test

* out loop

* test skip

* revise

* revise

* shape

* docs

* formatted

* confict1

* confict2

* confict2

* confict

* revise

* auto format by CI

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* fix maybe: add Maybe(T&&) to allow constructing from rvalue T (#7125)

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* autotest_add_graph_log (#7126)

* Meta info consistency check (#7085)

* meta_info_consistency_check

* refine check function

* Update consistent_cast.cpp

* move check to opinterpreter

* refine

* add note

* refactor MetaInfoConsistencyCheck

* of_format

* refine

* NonRecursiveMetaInfoConsistencyCheck

* fix func name

* add IsMetaInfoConsistencyCheckDisable()

* mino fix

* refine

* minor fix

* format

* minor fix

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* cmake: use interface target instead of include_directories in pybind11 (#7128)

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* Import cmake dependence json and inja using FetchContent (#7124)

* import cmake dependence json and inja using FetchContent

* install-llvm: fix url hash

* fix inja config

* add cache var

* fix ninja build

* fix ninja build

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* Add environment variable to set GRPC_ARG_MAX_MESSAGE_LENGTH (#7130)

* env ONEFLOW_GRPC_MAX_MESSAGE_BYTE_SIZE

* set default to -1

* Fea/nhwc (#6811)

* legacy maxpool2d module

* add legacy avgpool2d

* add graph cudnn conv alg config

* add conv2d nhwc

* lazy create cuda_stream in CudaCopyD2HDeviceCtx CudaStreamHandleDeviceCtx

* refine

* conv bn pool nhwc for resnet perf

* one hot with float

* use BiasAddRowGpu

* rm l2 with 0

* reformat

* add nhwc env var

* legacy pool merged into new

* refine

* fix style

* fix and refine

* address review

* fix and refine

* fix doc test

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* reduce memory usage caused by slice grad (#7144)

* cmake: fix THIRD_PARTY build (#7146)

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* fix fold op (#7156)

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* Support inplace for lazy consistent (#7112)

* Support inplace for lazy consistent

* fix single client sbp hint

* refine

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* fix prelu bug (#7118)

* support dtype and device in prelu

* optimize PreluFunctor

* fix prelu 1-dim error

* update

* update

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* use ibn2nd_sbp to get nd_sbp (#7155)

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* fix copy bug (#7159)

* fix copy bug

* add to test case

* refine

* fix test case

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* Fix laynorm backward bug (#7164)

* fix layernorm backward index bug

* add layernorm test case

* auto format by CI

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* [Fix] graph support 0-Size tensor (#6957)

* Add nn.functional.glu graph test

* add filter to motify functional autotest

* motify code

* add test example

* add test else

* add test judging condition for test_masked_fill.py,test_constant.py,test_tile.py、test_repeat.py,test_expand.py

* add test ok example

* Clear tensor name scope after graph build

* Add test case of 2 graph caught same free eager tensor

* auto format by CI

* Dev cc clean tensor name scope (#7082)

* Clear tensor name scope after graph build

* Add test case of 2 graph caught same free eager tensor

* auto format by CI

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* submit test success example

* test success example

* submit test code

* fix a bug about relu module with 0 shape data

* fixed a bug about relu module with 0 shape data

* fix a bug about relu module with 0 shape data

* fix a bug about relu module with 0 shape data

* 0shape and 0d autotest

* fix a bug about relu module with 0 shape data

* 0shape changed to 0_size

* modify test_var.py

* modify test_eye.py

* modify test_reshape.py

* modify test_.py

* modify ReshapeFunctor

* modify some file

* Fixed graph autotest bug with reshape op test

* Fixed graph autotest bug with reshape op test

* fixed test_sub.py

* modify test_sub.py

* modify tensor_methods.cpp

* modify array_functor.cpp

* graph support 0-Size tensor

* rename 0shape to 0 size

* modified check_graph=True

* fix and refine

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* Cumsum op implementation (#7050)

* add cumsum op's forward definition

* add cumsum forward test case

* cumsum ver3

* remove calculating time

* add cumsum forward gpu implementation

* fix gpu forward error

* change var name

* remove annotation

* add cumsum cpu forward multi-thread support

* add multi-thread annotation

* add cumsum grad definition

* update

* add cumsum cpu backward

* add cumsum cpu backward functor

* add cumsum autograd

* update

* remove user interface

* use random method to test cumsum forward

* add cumsum gpu backward

* add cumsum gpu test

* fix gpu backward bug

* add a 3d cuda kernel try

* Revert "add cumsum gpu test"

This reverts commit 05c31556ba28ecb827b25e54c2f5fa38984e8096.

* Revert "Revert "add cumsum gpu test""

This reverts commit 918ee1569863b008c1d419c3528257416cffd840.

* change nele to ele_cnt

* add test_cumsum.py in oneflow/test/modules

* change original test_cumsum to autotest version

* optimize cumsum for special up_space and down_space

* add two special cu func

* add cumsum doc

* update doc

* update doc

* update code according to bbuf's review

* ditto

* change pin/pout to in_ptr/out_ptr

* remove multi-thread func

* update doc

* use tensor processor

* update by review

* update by review

* update

* update

* auto format by CI

* auto format by CI

* update doc

* update

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* Logical slice in tenosr str (#7116)

* using logical slice in tensor str

* add tensor str util file

* refine

* refine

* refine

* refine

* add logical slice docs

* fix bug

* fix comment

* auto format by CI

* fix doc test bug

* delete TODO

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* Add install for oneflow py (#7107)

* Add install for oneflow py

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refien

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

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* fix bug: output key not exists when SavaJobToIR (#7139)

* fix bug: output key not exists when SavaJobToIR

* [test] makedirs when path not exists

* remove useless comment

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* Add linalg 2d norm op for clip_grad (#7160)

* add linalg_2d_norm op for clip_grad

* code format

* revert sqrt

* fix comment

* refine

* fix comment

* fix ci error

* fix ci error

* fix docs bug

* fix ci error

* fix ci error

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* refine nn.graph autotest (#7111)

* add linspace op

* refine graph autotest

* revert

* add graph error trace

* fix bug

* fix autotest bug

* auto format by CI

* fix set_printoptions error

* auto format by CI

* CI test bug

* auto format by CI

* For CI

* auto format by CI

* For CI test

* fix ci error

* revert for ci

* fix bug

* fix ci error

* fix bug

* fix bug

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* add oneflow/pytorch cudnn.deterministic (#7172)

* add cudnn.deterministic

* fix bug

* auto format by CI

* fix bug

* fix generate fake program input bug

* auto format by CI

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* fix linalg vector norm scalar tensor print bug (#7178)

* fix linalg vector norm scalar tensor print bug

* auto format by CI

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* use op schema for cumsum (#7175)

* add op schema for cumsum

* change cumsum's td definition to math group

* update

* fix get_sbp for scalar math ops (#7184)

* add inplace mul for clip_grad (#7180)

* add inplace mul for clip_grad

* auto format by CI

* fix format error

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* Add swapaxes op (#7179)

* Add swapaxes op

* Modify runtime

* fix docstr

* Modify functor

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* fix install cuda include (#7191)

* Support uneven split in eager slice boxing (#7123)

* fix Resource::DumpCudnnConf

* add shape para in boxing check function

* fix GetBoxingFunction para

* asymmetric_x_to_b support cpu

* forbid uneven split in cellective boxing

* refine slice boxing kernel to support uneven split

* add test case and fix balanced_splitter error

* fix test case

* fix op/kernel bug

* fix bug in symmetric_s_to_p

* revert boxing_dividor_util.cpp

* use const Shape&

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* Add stack kernel (#7152)

* fix arange bug

* build init kernel

* add stack backward

* remove annotation

* reformat and fix sbp

* fix ops td format

* fix format

* fix comment

* add more test case in dim

* fiux user ops td

* fix to use size_t

* fix annotation

* fix less than

* fix userop tabelgen

* fix bug when num of inputs greater than 128

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* Add erfinv op (#7163)

* Add erfinv op pre

* fix

* add erfinv op

* Add test

* fix comment

* add inplace version of erfinv

* add inplace version docs

* fix inplace cpu version kernel and ops td

* add test and docs

* fix back

* fix unittest

* fix const &

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* add doc for pybind type (#7193)

* fix linspace bug (#7185)

* fix linspace bug

* auto format by CI

* fix comment

* annotation adaptive_avgpool3d

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* Add floor inplace version (#7187)

* add floor inplace version

* add docs

* fix comment

* fix comment

* fix comment

* auto format by CI

* fix comment

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* remove is_lazy check in nn.Graph inplace output (#7190)

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* Fix test case about eye (#7194)

* fix eye test case

* add test case

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* fix(narrow): fix consistent narrow gradient bug (#7195)

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* Fused kernel with broadcast (#6977)

* add broadcast for fused kernel

* fix cuda memcpy ilegal access error

* add broadcast for fused_softmax kernel

* fix errors

* add more test sample

* reformat

* add one_elif

* reformat

* use different dispatch logic

* Use simplified dims

* add simplified dims for fused_scale_mask_softmax_dropout

* add simplified broadcast for fused_scale_mask_softmax_dropout

* add simplified dims for fused_scale_mask_softmax

* try to merge duplicate code

* simpified kernel code

* fix test case

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* remove annotation

* add new line

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* skip drop if drop rate is zero (#7186)

* Dev inplace clamp (#7182)

* add inplace for clamp

* first commit

* fix conflict

* add clip alias and docs

* fix bug and add test

* add more test case

* skip functional adaptive pool3d test

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* Revert "Fused kernel with broadcast (#6977)" (#7207)

This reverts commit 80099aa.

* [BUG] Fixed graph autotest bug with sub op  (#7142)

* fixed Fixed graph autotest bug with sub op test

* fixed 0size data graph autotest bug with randperm op

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* var  kernel (#7024)

* var forward kernel

* variance backward

* add var backward

* refine

* refine

* refine

* refine

* add GetSbpFn

* refine

* refine

* refine

* refine

* refine

* add TODO

* replace 'axis' str using 'dim' str

* change the way of getting cuda stream

* add comment

* auto format by CI

* fix ref bug

* fix static check error

* auto format by CI

* fix build many linux error

* format

* fix static check error

* fix mut dptr error when size is 0

* refine

* support 0 shape and nan

* auto format by CI

* refine

* fix doctest because of accuracy error

* fix backward unsqueeze dim bug

* fix bug backward

* refine

* fix out of order bug

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* Add Python code frame, debug(2) and debug(3) in nn.Graph (#7110)

* add frame

* test pass

* refine loc str

* refine code

* refine code

* refine debug

* add debug

* block forward with glog scope

* refine debug

* glog to stderr when v 2

* refine py str api

* refine and fix py obj repr

* refine pystr; use GetOrThrow at pyfunc; use alsologtostderr

* refine pystr

* move str

* fix test

* log 2 alsolog

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* update readme 0.6.0 (#7202)

* update readme

* add Publication section

* reorder

* update default version

* Fix check graph bug part1 (#7197)

* support randperm graph test

* add diagonal graph test

* fix eye op check graph bug

* refine

* fix to bug

* refine

* fix

* format

* restruct nn.graph autotest

* format

* fix bug

* auto format by CI

* fix where test bug

* comment diagonal op

* fix comment

* fix ci error

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* Add documentation file for nn.init.xxxx (#7181)

* Add documentation file for nn.init.xxxx (#7168)

* Modify document index order (#7168)

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* Refactor to numpy (#7097)

* tensor numpy method

* to numpy

* delete useless file

* replace CHECK_JUST with JUST

* tensor cpu method return self if it is in cpu

* delete tensor buffer

* delete useless code

* refine

* Update python/oneflow/nn/modules/tensor_ops.py

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* refine

* add docstr of cpu method

* delete useless code

* refine

* add comment

* refine

* add 'assert' info

* refine

* do .cpu if tensor is not in cpu memory

* revert format change

* fix tensor buffer numpy

* support tensor buffer to invoke numpy

* fix bug

* fix nd sbp numpy bug

* fix bug about test case because of numpy sharing memory with tensor

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* Fix eager boxing bug (#7196)

* fix_eager_boxing_bug

* remove EagerBoxingCall

* minor fix

* fix error

* fix error

* rename d to dim

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* Feat eager consistent 2d sbp infer (#7143)

* feat(EagerConsistent): support 2d sbp infer

* feat(EagerConsistent): support compute copy cost

* refine 2d sbp cannot find error message

* refactor(EagerConsistent): move functions to sbp_infer_util

* feat(EagerConsistent): add same sbp judgement

* refine code

* feat(EagerConsistent): update 1d to 1d copy cost

* feat(EagerConsistent): try to get boxing from eager_consistent_boxing_mgr

* feat(EagerConsistent): update copy cost function

* remove useless code

* refine code

* fix merge bug

* refine code and fix copy cost function

* Revert "Fused kernel with broadcast (#6977)"

This reverts commit 80099aa.

* Add comment

* refine code

* fix JUST

* Revert "Revert "Fused kernel with broadcast (#6977)""

This reverts commit e7e2990.

* fix P->B copy cost

* fix error message error

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* fix split default arg (#7222)

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* fix no grad inplace clamp (#7220)

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* fix readthedocs auto update (#7223)

* fix docs (#7227)

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* allow_file_schema_in_mirror_third_party (#7231)

* support_symmetric_cyclic_nd_sbp_boxing (#7210)

* support_symmetric_cyclic_nd_sbp_boxing

* rename func

* minor fix

* solve comment

* minor fix

* fix typo

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* Fix erfinv and swapaxes (#7217)

* Fix erfinv and swapaxes

* Fix

* Fix bug and add test

* Modify name

* Fix arg

* Modify pi

* Fix

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* Support nd sbp dim reduce (#7230)

* support_symmetric_cyclic_nd_sbp_boxing

* rename func

* minor fix

* solve comment

* minor fix

* support_nd_sbp_dim_reduce

* fix_typo

* add test case

* fix bug

* fix bug

* refine

* fix dead loop error

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* fix comm test cases (#7021)

* fix comm test cases

* auto format by CI

* refine

* refine

* refine

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* fix_backward_bug_in_1d_to_2d_boxing (#7224)

* fix_backward_bug_in_1d_to_2d_boxing

* refine

* of_format

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* Skip layernorm warp test (#7243)

* fix arange bug

* skip

* fix comment

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* Print warning for non localhost proxy (#7228)

* print warning for non localhost proxy

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* reformat

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* add more check

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* add ddp return type (#7232)

* add dpp return type

* add comment

* auto format by CI

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* Parameter support both inplace op and setter (#7249)

* feat(Parameter): Parameter support both inplace op and setter

* feat(Tensor): tensor support data's getter interface

* test(Parameter): add getter test

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* fix(*): fix sbp filter function bug (#7229)

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* refine (#7240)

* Eager boxing status (#7150)

* add eager boxing status

* refine MakeBoxingInterpreterStatus

* add blank line

* del EagerBoxingCall

* refine BoxingInterpreterStatus

* refine BoxingInterpreterStatus

* add eager boxing log

* minor fix

* minor fix

* revert removed file

* add indent arg

* rename indent to prefix

* solve comment

* refine eager_boxing_logger

* use Global<const EagerBoxingLogger>

* minor fix

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* fix empty bug (#7239)

* fix empty bug

* simplify empty

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* fix empty debug str of hob primitive (#7245)

* fix empty debug str of hob primitive

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* fix 'OF_PP_STRINGIZE(op)'

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* Add VSCode dev container (#7233)

* add dev container

* use oneflow/devcontainer

* add settings for new lines and trailing ws

* refine docs

* add eol setting to config

* Add '"--gpus", "all"' if running a CUDA image

* set BUILD_HWLOC off in fast cmake init cache

* Skip send and recv if dst and src are same. (#7255)

* Maxpool op nhwc (#7214)

* maxpool2d_support_nhwc

* refine

* add test case

* format

* refine

* refine

* fix comments

* Implement consistent tensor detach (#7265)

* Feat/zero optimization in nn.Graph (#7165)

* debug

* modify graph.py

* fix bug about graph debug interface

* Fix nn graph variable bind (#6895)

* fix(AutoParallel): nn.Graph support auto_parallel change sbp

* fix(AutoParallel): use tensor.set_data interface and add print sbp info

* add comment

* hack check

* add test

* refine test

* refine test

* refine code

* add and refine zero

* fix test

* refine code

* rm debug log

* refine min size set

* add note

* debug zero

* fix cudnn config

* refine test doc

* add comment of check

* eager mode in graph pass

* format

* rebuid parameter according to sbp in synced plan

* auto format by CI

* fix code check

* fix test

* try init session at graph init

* refine and revert session init

* rm useless code

* add back print of sys conf

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* fix linspace limit bug (#7236)

* fix linspace limit bug

* auto format by CI

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* fix merge bugs

* fix(NNGraph): create tensor in jobpass after pulling plan

* fix code bug

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