* fix-abs

* fmod-init

* broadcastfloormod_back

* vstorch

* modify_test

* fix_doctest_flag

* add-fmod-kernel

* fix-marco4binaryop

* split-marco

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* LazyInterpret build LocalTensor if input is local

* refine graph default scope

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* refine

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* fix upsample nearest bug

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* add rtol and atol

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* refactor job_pass by maybe_system

* refactor AutoSourceAndSinkTick to SingleClientAutoSourceAndSinkTick

* remove useless files

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* address review

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* add test on add input to graph

* add var into graph

* LazyInterpreter for FetchOutputOpExpr and set op parallel_distribution

* refine input var build

* split file

* rename

* mini refine

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* add sgd

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* refine test scripts

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* format

* tensor.backward to lazy_add_loss(tensor)

* Fix bug of LazyInterpret UserOpExpr for change output lbns

* Add test user op expr test

* fix note mistake

* add userop and test

* rename

* add idea on l2 to variable op

* add scale in sgd

* refactor add loss

* revert change on tensor_name_scope

* fix typo

* check is lazy in tensor.backward

* rm useless state_tensortuple in nn.Graph

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* NNGraph interface and implement for CompileAndRuntime

* fix compile

* RunLazyNNGraph

* New/CloseRuntimeBuffers and RunLazyJob impl

* using job_conf.concurrency_width for Source/Sink BufferSize

* Add note for buffer size

* NNGraph interface and implement for CompileAndRuntime

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* prevent upload logs

* refine

* refine

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* Generalize 'AdaptiveAvgPool' for 1~3 dims usage

* Implement GPU version

* Enable pooling with larger 'output_size' which is supported by PyTorch

* Add docs for 'AdaptiveAvgPool1d' and 'AdaptiveAvgPool3d'

* Add functional API for 'AdaptiveAvgPoolXd'

* Add 'flow.adaptive_avg_poolxd'

* Add test cases for 'flow.adaptive_avg_poolxd'

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* Avoid using 'Shape::Count' in for loop

* Change names of compute functions

* Change 'AdaptivePoolNdGradOp' to functor

* Register integer types for CUDA 'adaptive_avg_poolxd' kernel

* Integrate 'adaptive_avg_poolxd' into 'nn.functional.interpolate'

* Correct wrong 'AdaptiveAvgPoolXd' entries

* Add missing 'not None' assertions for 'output_size'

* Support tuple input for 'AdaptiveAvgPool1d'

* Mark TODO for auto testing 'AdaptiveAvgPoolXd'

* Denote return types for 'BackwardOpConfGenFn'

* Combine test classes of 'AdaptiveAvgPoolXd' into one

* Rename 'AvgXXXCompute'

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* Delete the wrong 'if' block

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* update automated test framework

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* rename func -> generator

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* reformat

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* update more powerful conv test

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* update test_matmul.py

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* reformat

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* add test on add input to graph

* add var into graph

* LazyInterpreter for FetchOutputOpExpr and set op parallel_distribution

* refine input var build

* split file

* rename

* mini refine

* Add note

* LazyInterpret::ApplyImpl for UserOpExpr

* refine test scripts

* add output to graph

* format

* Fix bug of LazyInterpret UserOpExpr for change output lbns

* Add test user op expr test

* fix note mistake

* add userop and test

* address review

* address review

* save i/o/s op_name and tensor for c_nn_graph

* address review

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* add speed test in ci

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* use actions/checkout@v2

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* add more input size

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* fix arg order

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* update test.yml to use oneflow-inc/models master

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* only clone models repo in cuda_new_interface

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* update test_speed.sh to check rel speed

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* update yml and test_speed.sh to post speed stats

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* escpae newline for github actions

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* use correct escaping

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* replace '\n' to \n in js

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* collapse speed stats

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* fix comments

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* set fixed commit and refine msg

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* test 30 times instead of 20, relax the threshold

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* update oneflow-models

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* fix(*): remove inplace broadcast_add

* fix(BroadcastLike): fix axes bug

* refactor job_pass by maybe_system

* refactor AutoSourceAndSinkTick to SingleClientAutoSourceAndSinkTick

* remove useless files

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* align torch maxpool

* remove redundant params

* add torch style functional

* remove cout code

* align pooling backward

* fix ceil mode

* add dataformat back

* add annotation

* add maxpool1d functor

* fix farward to forward

* add getwindowedOutputShape function

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* fix return type

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* refine

* refine

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* LazyInterpret::ApplyImpl for UserOpExpr

* Fix bug of LazyInterpret UserOpExpr for change output lbns

* Add test user op expr test

* fix note mistake

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* feat(Stride): add Stride class

* feat(Tensor): support stride and storage_offset interface

* feat(Tensor): add is_contiguous interface

* remove test declaration

* feat(TensorMeta): add hash and compare for stride

* refine code

* refine IsContiguous function

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* fix upsample nearest bug

* fix upsample nearest bug (#5347)

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* fix upsample bilinear bug

* init flip op

* add flip op register

* add flip cpu kernel forward

* add flip kernel impl

* add flip op functor and gradient_funcs

* add test, still need fix bug

* fix segmentfault bug

* add docs

* fix comments

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* implementation of constantpad-3d op

* format

* refine

* rename files

* refine

* refine test case

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* fix upsample nearest bug

* fix upsample nearest bug (#5347)

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* fix upsample bilinear bug

* restruct upsample module

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* change docs

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* del default env init

* refine

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* prevent endless loop

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* LazyInterpreter for FetchOutputOpExpr and set op parallel_distribution

* Add note

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* replace ForeignJobInstance using JobInstance

* LazyJobStreamType

* NNGraphIf

* NNGraph -> NNGraphIf

* fix compile bugs

* add unit tests for instruction RunLazyJob

* GetInputBufferName/GetOutputBufferName

* multi-client push pull

* refactor wait_and_send_ids_kernel to support multi-client mode

* support multi-client mode return_op

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* fix single client env reinit

* addnote

* Multi-Client LogicalRun degenerate to PhysicalRun

* Add Logical->Physical in Multi-Client for IdGenerator and InstructionsBuilder

* multi client test

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* fix wrong std::shared_ptr

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* run module api test by test_multi_client/generic_test.sh

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* fix test script

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* use oneflow.distributed.launch -m unittest discover instead of bash for loop to speed up the test

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* update ci/test_multi_client/generic_test.sh

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* modified SetInputArgModifyFn

* Delete the CHECK changes in the assign_op.cpp file

* Format

* Modified the OutputArgModifyFn interface

* add return

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* OutputArgModifier return maybe part_1

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* input_arg_modifier return maybe

* gen_bw_fn return maybe

* bw_gen_fn return maybe

* registry_callback_fn return maybe

* fix bug after merge master

* fix bug

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* edit cmake cache and protobuf

* edit more cmakes

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* modified SetInputArgModifyFn

* Delete the CHECK changes in the assign_op.cpp file

* Format

* Modified the OutputArgModifyFn interface

* add return

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* OutputArgModifier return maybe part_1

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* input_arg_modifier return maybe

* gen_bw_fn return maybe

* bw_gen_fn return maybe

* fix bug: return Maybe without JUST

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* fix TryClose

* fix addressing watch callback

* modified SetInputArgModifyFn

* Delete the CHECK changes in the assign_op.cpp file

* Format

* Modified the OutputArgModifyFn interface

* add return

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* OutputArgModifier return maybe part_1

* maybe error stack from CheckAndConstructOp to OutputArgModifier callback function

* input_arg_modifier return maybe

* gen_bw_fn return maybe

* add MakeGenBackwardOpConf because ofstatement-expression not allowed outside function resulting in JUST failed in lambda

* add maybe after merge master

* fix bug: JUST in lambda

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* mkdir compatible/single_client

* mv to compatible/singe_client/python

* mv to ./python/compatible/

* use oneflow.compatible.single_client

* back up

* backup

* refactor oneflow.xxx to oneflow.compatible.single_client.xxx

* mv to single_client

* refactor import oneflow to oneflow.compatible.single_client

* backup

* refine

* refine

* make single_clint ci test copy from correct path

* refine

* refine

* delete ioconf and split single-clint ci test

* auto format by CI

* delete default session

* fix method of erase sess id

* delete string multi client in test.yml

* fix spell error

* delete space

* refine

* mv single client python file to compatible_single_client_python

* refine

* fix ci error

* fix bug

* fix bug

* refine

* refine

* delete skip if in test/(modules/tensor)/* because of default eager env

* fix bug

* synchronization oneflow/compatible_single_client and oneflow/python

* fix distributed_run bug

* fix test_multi_process dead lock

* f...