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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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* fix upsample nearest bug

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* add test on add input to graph

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* refine test scripts

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* Generalize 'AdaptiveAvgPool' for 1~3 dims usage

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* Add 'flow.adaptive_avg_poolxd'

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

* Change names of compute functions

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* Correct wrong 'AdaptiveAvgPoolXd' entries

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* Support tuple input for 'AdaptiveAvgPool1d'

* 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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* rename func -> generator

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* reformat

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* add test on add input to graph

* add var into graph

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* LazyInterpret::ApplyImpl for UserOpExpr

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* Add test user op expr test

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* LazyInterpret::ApplyImpl for UserOpExpr

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* Add test user op expr test

* fix note mistake

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* feat(Stride): add Stride class

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

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* fix upsample nearest bug

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* fix upsample bilinear bug

* init flip op

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* implementation of constantpad-3d op

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* rename files

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* LazyInterpreter for FetchOutputOpExpr and set op parallel_distribution

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* Multi-Client LogicalRun degenerate to PhysicalRun

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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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* mkdir compatible/single_client

* mv to compatible/singe_client/python

* mv to ./python/compatible/

* use oneflow.compatible.single_client

* back up

* backup

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* 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

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* delete string multi client in test.yml

* fix spell error

* delete space

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* mv single client python file to compatible_single_client_python

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* fix ci error

* fix bug

* fix bug

* refine

* refine

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

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* synchronization oneflow/compatible_single_client and oneflow/python

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* 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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* fix param

* fix maxpool1d params error

* refine

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* add scale and new_size

* add and refine test_case

* fix testcase

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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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* startup: add sum testcase

* mean, max, min, sum

* refine test mul

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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

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* redesign upsample bilinear

* fix align corner bug

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* fix bug

* code reuse

* fix commets

* add upsample_linear_1d_user_op

* add upsample_linear_1d_user_op

* add linear1d interp cpu kernel

* add linear1d interp gpu kernel

* rename kernel name

* add upsample nearest_1d kernel

* add upsample nearest_1d cuda kernel

* add upsample nearest_1d op

* fix complie bug

* add bicubic interp cpu kernel forward

* add bicubic2d interp cpu kernel backward impl

* add bicubic2d gpu kernel impl

* fix bicubic kernel compile error

* add bicubic2d kernel register

* 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

* fix check_of_return comment

* fix comment

* fix comments

* fix commnet

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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

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* 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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* refine and add test case

* support ellipsis type slice

* refine

* refine

* support slice assign ellipsis type

* refine

* register fn to localtensor

* basic implemetation of dataloader

* format

* refine as comments

* fix comments

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* add test case into unnitest

* refine ascomments

* refine as comments

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* add argmax test

* fix ci error

* fix docstring warning

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* fix conflict

* add test_flow_xxx_against_pytorch func

* fix default_value_not_set_bug

* fix bug

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* fix rmsprop ci fail

* fix rmsprop ci fail

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* half implement of InputOpExpr

* Half implement of run InputOpExpr

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* FeedInputOpExpr runnable

* refine note in multi-client session

* refine code

* refine test_input_op_expr.py

* Using with oneflow._oneflow_internal.lazy_mode.gard(True)

* using unittest skip if not in eager

* add JUST

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* add gather_nd and scatter_nd

* add testcase

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* gradfunc

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* graph api

* add graph dummy test

* add test

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* graph.build test pass

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* support config and train

* add repr for debug

* test buffer

* test buffer add

* refine test

* add comment

* refine test

* refactor Node to Block

* add named_state

* refine Graph.named_state()

* add state_tensortuple

* graph._compile()

* add mc session 0

* nn.graph: state tuple to private var; add BlockType; add simple multi client session

* NNGraphIf

* rm old graph.cpp

* nn.graph: add cpp NNGraph; export and call NNGraph

* add comment

* nn.Graph: rm prototype MultiClientSession

* nn.Graph: rm prototype MultiClientSession test

* nn.Graph: add TODO

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* nn.Graph: format

* nn.Graph: format

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* job_build_ctx

* support lazy context

* format

* lazy mode

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* lazy mode add test

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* chech scope

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* move generator test into ops folder to accelerate tests

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* refine

* refine

* refine

* add inplace testcase

* check inplace valid

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* refine

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* address review

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* add argmax test

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* fix tensor greater and less bug

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* add asinh and arcsinh test

* add sinh test

* add atan2 module test

* add softplus test, softplus module has bug

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* init nn.image.flip

* clean code

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* revert python.cmake

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* init of op diag

* init of op diag

* modify  op diag

* merge testcase

* delete no use tensor diag

* amend diag api docs

* resolve conficts

* resolve confict

* resolve confict

* resolve confict

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* add tensor.diag

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* amend API description

* add non_square test

* amend diag API description

* amend diag API description

* compact test code

* compact code

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* amend API description

* amend API description

* motify functional API

* motify test_diag

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* fix(Tensor): fix Tensor.grad setter bug

* refine error message

* fix(Tensor): fix bug

* add grad = grad * constant test

* update tensor.py to pr head

* format code

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