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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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* fix-abs

* fmod-init

* broadcastfloormod_back

* vstorch

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* LazyInterpret build LocalTensor if input is local

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* fix upsample nearest bug

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* add test on add input to graph

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* Generalize 'AdaptiveAvgPool' for 1~3 dims usage

* Implement GPU version

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* Mark TODO for auto testing 'AdaptiveAvgPoolXd'

* Denote return types for 'BackwardOpConfGenFn'

* Combine test classes of 'AdaptiveAvgPoolXd' into one

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* update automated test framework

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* add test on add input to graph

* add var into graph

* LazyInterpreter for FetchOutputOpExpr and set op parallel_distribution

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* LazyInterpret::ApplyImpl for UserOpExpr

* refine test scripts

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* fix(*): remove inplace broadcast_add

* fix(BroadcastLike): fix axes bug

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* LazyInterpret::ApplyImpl for UserOpExpr

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* Add test user op expr test

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* feat(Stride): add Stride class

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* fix upsample nearest bug

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* fix upsample bilinear bug

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* implementation of constantpad-3d op

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* fix upsample nearest bug

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* fix upsample bilinear bug

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* del default env init

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* LazyInterpreter for FetchOutputOpExpr and set op parallel_distribution

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* Multi-Client LogicalRun degenerate to PhysicalRun

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

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* fix TryClose

* fix addressing watch callback

* 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

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* make single_clint ci test copy from correct path

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* delete default session

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* 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

* fix test_multi_process dead lock

* synchronization modify between oneflow/python and oneflow/compatible_single_client

* refine

* minor fix

* fix bug

* fix doctest.sh

* rm files

* remove files and add checks

* delete moduels

* Revert "delete moduels"

This reverts commit f95ab369f556b71fd0663b67c6dd51c9b6d5ee81.

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* feat(Module): support __repr__ function

* feat(Modules): add extra_repr for some modules

* fix(ConvModule): fix conv module extra_repr

* fix(ActivityModule): raise inplace error to warning

* fix(ModuleRepr): fix module print doctest bug

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* fix param

* fix maxpool1d params error

* refine

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* add scale and new_size

* add and refine test_case

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* Refactor expand and tensor setitem functional apis.

* Raise IndexInception in tensor getitem.

* Bugfix

* Bugfix

* Fix conflicit with xrt

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* split vector-matrix norm

* fix_vector_norm

* fix_docstring

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* core: GlobalMultiClientEnv; refine EagerExecution

* move IsMultiClient to EnvDesc

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* prevent adding subdir in python/test

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* check in changes

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* refine

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* startup: add sum testcase

* mean, max, min, sum

* refine test mul

* refine test mul case

* refine div, mul, sub test case

* refine masked_fill test case

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* fix upsample nearest bug

* fix upsample nearest bug (#5347)

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* fix upsample bilinear bug

* fix upsample bilinear bug

* recover code

* align with pytorch

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* fix align corner bug

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* fix bug

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* add upsample_linear_1d_user_op

* add upsample_linear_1d_user_op

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* add linear1d interp gpu kernel

* rename kernel name

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* add bicubic2d gpu kernel impl

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* fix compile bug

* nearest3d interp cpu kernel

* add nearest3d gpu kernel

* add nearest3d kernel registry

* add nearest3d cpu kernel

* add nearest3d cpu kernel

* add nearest3d cpu kernel

* fix upsample nearest interp bug

* fix upsample nearest interp bug

* add trilinear3d cpu kernel forward

* add trilinear3d cpu kernel backward

* add trilinear gpu kernel impl

* add trilinear op registry

* init interpolate nn function

* add upsample functors

* add interolate module

* add interpolate test_case

* restruct upsample_nearest2d and upsample_bilinear2d

* add upsample nearest2d and bilinear2d op registry

* add upsample nearest2d and bilinear2d op registry

* add upsample kernel grad functor

* add upsample_nearest_2d backward

* add upsample_linear_1d backward

* add upsample_nearest_1d backward

* add upsample_bicubic_2d backward

* fix backward impl bug

* fix nearest1d backward bug

* try to fix backward segmentfault

* add data_format parammeter

* fix upsample kernel backward bug

* fix cuda kernel impl bug

* fix upsample nearest bug

* fix align_corner attr error

* align linear1d impl with pytorch

* fix trilinear register bug

* fix trilinear bug

* add trilinear aligncorners test

* add test for bicubic, still has bug

* reimpl bicubic2d kernel

* align cubic interpolate with pytorch

* add bicubic cuda kernel

* fix bug

* align api with pytorch

* add doctest for interpolate

* update interpolate docs

* fix comments

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* trigger ci test on graph

* add module scope

* Block.paramter or buffer return different value based on context

* add test on scope name prefix

* refine scope build

* refine scope build

* lambda get parameter to create right scope

* check para get

* fix vm:PhysicalRun

* lazy Tensor only create once

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* add gelu test

* add test for activation module

* add acos test

* add acosh test

* add tensor sigmoid test

* remove wrong acos

* add arccosh test

* remove acosh arccosh atan2 unittest

* remove arccosh acosh atan2 unittest to test_math_ops.py

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* printf tensor index in cpp

* revert printf debug information

* add isinstance tuple and int condition

* format code

* implement and register __iter__ method

* Change to catch exception from C++ and throw IndexError

* add indexError error message

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* auto_zero_padding -> auto_truncating in cpp

* auto_truncating for python interface

* fix element count

* fix

* fix bug auto_truncating<->dim1_varying_length

* auto_truncating -> truncate

* rm not in if

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* refine and add test case

* support ellipsis type slice

* refine

* refine

* support slice assign ellipsis type

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* register fn to localtensor

* basic implemetation of dataloader

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* refine as comments

* fix comments

* remove useless code

* add test case into unnitest

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