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* add argmax test

* fix ci error

* fix docstring warning

* fix tensor greater and less bug

* fix conflict

* add test_flow_xxx_against_pytorch func

* fix bn autograd bug

* fix bn autograd bug

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* refine

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* refien

* add check

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* refine

* skip license

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* refien

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* refien

* refien

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* refine acos

* refien

* remove enable_eager_execution() in oneflow/python

remove @experimental_api decorator for apis, except that ones
having same name with single client api.

* remove all import oneflow.experimental in doctest

* replace oneflow.experimental with oneflow in docstr

* reformat

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* refien

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* refine

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* refien

* refien

* refine

* refien

* refien

* refien

* refine

* r...

* refine oneflow/python/ops/array_ops.py

	modified:   ../oneflow/python/nn/modules/masked_select.py
	modified:   ../oneflow/python/ops/array_ops.py

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* rm reduce_ops.py and summary files

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* refine and add test case

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* nn.Graph call and launch impl

* Fix bug of 1.pybind11 list->vector; 2.GlobalJobDesc in NNGraph Compile

* Fix bug: AutoTick Multi-Client callback notifier lbn

* Fix bug: callback notifier op check in multi-client

* Fix bug: CheckOpGraph in multi-client

* Fix bug of MultiClientSessionContext new ProfileConf

* Fix bug of create NONE type kernel; add note; refine PlanUtil::PopulateOpAttibute

* Fix bug: CallbackNotifier kernel dtype with uint8; change tick dtype; Feat: add Kernel create fault-tolerant

* inputs tensor list

* rollback of hack

* Using TensorTuple for RunLazyNNGraph

* Fix bug: WaitAndSendIdsKernel handle for Multi-Client

* skip graph runnable test

* refine

* skip test graph optimizer for nn.Graph train job completer error

* Skip SetDefaultVariableConf JobPass in Multi-Client

* Fix bug: register_variable_op_names_and_tensors args with TensorTuple

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* fix upsample nearest bug

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* fix upsample bilinear bug

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* change doctest code in abs.py

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remove @experimental_api decorator for apis, except that ones
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* remove experimental in functionalpy

* remove experimental of new merge

* skip fmod grad test

* remove experimental of fmod

* fix error when do multi case test on graph

* remove outdated rst files

* refine and add new rst files

* format

* revert test_fmod.py

* remove all experimental in python/nn dir (done!)

* remove experimental in test/graph

* add linagl

* refine rst

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* refine oneflow.rst

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add image.rst module.rst

refine rst files

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* refine oneflow/python/ops/array_ops.py

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	modified:   ../oneflow/python/ops/array_ops.py

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* fix error when do multi case test on graph

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* Test 'nn.Linear' and 'nn.Identity' with random data

* Test 'nn.PixelShuffle' with random data

* Test 'greater' and 'less' with random data

* Test 'flow.Tensor.flatten' with random data

* Test 'greater' and 'less' with random-sized data

* Test 'nn.CrossEntropyLoss' with random data

* Replace multiple return entries with the 'oneof' generator

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* Remove the hard-coded test cases of `nn.CrossEntropyLoss`

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* 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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* fix upsample bilinear bug

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* add rtol and atol

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* fix export bug

* fix bug

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* refactor job_pass by maybe_system

* refactor AutoSourceAndSinkTick to SingleClientAutoSourceAndSinkTick

* remove useless files

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* add test on add input to graph

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* refine test scripts

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* 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

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* fix compile

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* prevent upload logs

* refine

* refine

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* Generalize 'AdaptiveAvgPool' for 1~3 dims usage

* Implement GPU version

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* Add docs for 'AdaptiveAvgPool1d' and 'AdaptiveAvgPool3d'

* Add functional API for 'AdaptiveAvgPoolXd'

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* 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'

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* Simplify output shape inference

* 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 automated test framework

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* add some tests and refine code

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* update test_matmul.py

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* fix test_matmul.py

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* add atol and rtol, fix test_matmul.py

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* reformat

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* tricky export

* tricky export

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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

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* 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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* refine build_graph_state

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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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* 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

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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

* fix comments

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* implementation of constantpad-3d op

* format

* refine

* rename files

* refine

* refine test case

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