* Refactor functional matmul and add apis.

* Export batch matmul and fix python module

* Check inplace valid in C++

* Support scalar add tensor.

* Support inplace when broadcasting add

* Refactor mul and div

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* Fix div

* Fix add

* Fix add

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* LazyInterpret::ApplyImpl for SourceUserOp and Copy

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* Dev logical_and/or modules

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* consistent_tensor_to_api

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* pass test on linear with training

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* Refactor functional matmul and add apis.

* Export batch matmul and fix python module

* Check inplace valid in C++

* Support scalar add tensor.

* Support inplace when broadcasting add

* Fix add

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* fix_circular_deps_of_sbp_py

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This reverts commit 004ee6f89d7cec2972c77b40dc2659bd19078e2c.

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* support tuple of ints size, or unpacked ints size for ones and zeros op

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* export datasets interface

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* Use function interface

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* support_tensor_to/to_local

* export consistent_tensor.to_local()

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* export tensor.to()...

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* make of_format

* remove to in pyTensor

* sync gpu data

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* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* backup

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* auto format by CI

* remove boxing

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* Fix optional

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* add sbp and sbp list arg

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* use functional

* refactor CastConsistentOpExpr

* to_consistent(flow.B) backward

* Cache op expr

* add EagerNcclOpKernelState

* refine

* refine

* refine

* refine

* refine

* refine

* minor fix

* capture OpInterpContext

* unimplemented apply

* add GetNdSbp

* add mutex

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* merge EagerConsistentTensorImpl::NewWithPhyTensor and EagerConsistentTensorImpl::NewWithoutPhyTensor into EagerConsistentTensorImpl::New

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* of_format

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* minor fix

* sync shape and data when tensor_to_local

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* Use function interface

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* Delete the old interface file

* Delet docs ctc_greedy_decoder

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* remove experimental

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* 0-dim tensor support

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* MirroredTensorMeta::MirroredTensorMeta()

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* auto format by CI

* refine

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* auto format by CI

* refine

* fix slice bug

* auto format by CI

* fix resnet50 0-im loss uasge

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* fix test_dataset

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* remove useless empty shape init

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* fix argmax op test

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* fix bce loss op test

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* resolve confilct

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* add memory copy for 0-dim

* auto format by CI

* support copy0dim

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* auto format by CI

* remove unuse codes

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* fix clip_grad_norm doctest

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* add conv3d module

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* add batchnorm3d module

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* feat(Tensor): support 0shape tensor

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* auto format by CI

* add module op test for empty tensor, cuda kernel support empty tensor

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* startup of dev scatter ops

* use dim scatter base class

* refine(using binop to abstract scatter update and add

* refine (use macros to implement kerenl class and functors)

* refine(description for register scatter ops/kernels)

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* add inplace ops

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* remove dim_gather_scatter_uitl.h

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* refine register ops

* refine

* add F.dim_scatter_scalar

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* add scatter reduce arg

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* add autotest tan tanh floor arctanh

* add autotest tan floor tan

* Add autotest  for log1p

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* Delete log1p.py

delete merge error branch

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* add minimum and maximum

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* align view input style with torch

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* rewrite arange

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* add autotest for some math ops

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* rebase

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* auto format by CI

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* fix tick ibn sbp signature

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* Use function interface

* Delete blank lines

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* modified Addmm

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* fix _sub errot

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* add activation

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* fix upsample nearest bug

* fix upsample nearest bug (#5347)

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* fix upsample bilinear bug

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* fix upsample nearest bug

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* fix upsample bilinear bug

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* add valid optimizer case to pass job complete

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* fix upsample nearest bug

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* fix upsample bilinear bug

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* auto format by CI

* fix repeat module bug

* fix repeat module bug

* fix repeat module bug

* fix repeat module bug

* auto format by CI

* fix repeat module bug

* fix conflict

* fix conflict

* auto format by CI

* support tuple parameter

* auto format by CI

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* Adapt to new structure

* auto format by CI

* fix bug

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* move tensor to c++

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* align with master and fix export error

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* reformat

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* rename some functions

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* refine

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* remove unused header

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* restore device repr and str

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* upgrade pybind11 to 2.7.0 for https://github.com/pybind/pybind11/pull/2956



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* impl parameter in c++, remove determine() call

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* let parameter derive from TensorIf to own a separate grad_fn_node, add missing get_device method, remove out-dated methods in docs

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* add test_parameter.py, fix requires_grad_ and get_device

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* use oneflow cast instead of numpy cast

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* restore format changes

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* auto format by CI

* fix tests involving _local_or_consistent_tensor

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* fix upsample nearest bug

* fix upsample nearest bug (#5347)

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* fix upsample bilinear bug

* fix export bug

* fix conflict

* auto format by CI

* fix license

* fix ci error

* Delete version.py

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* Support numpy advanced indexing.

* Finally adjust if continuos subspace.

* Finish integer array indexing and combining indexing.

* Finish index array parsing.

* Add tensor indexing unittest

* Add check

* Refine

* Refine tensor getitem unittest

* Support int64_t cuda atomicAdd.

* Not use PyObjectPtr since PySequence_Fast_GET_ITEM returns borrowed reference.

* Remove experimental in indexing unittest.

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* refine

* change abs.py for test

* refine

* refine

* refine

* refine

* refine

* refine

* add

* refeom

* refine

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* refien

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* refien

* add check

* refine

* refine

* refine

* skip license

* refine

* refien

* refine

* refien

* refien

* refine

* refine

* 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

* auto format by CI

* refine

* refien

* refine

* refien

* refine

* refine

* refine

* refein

* refine

* remove signle client twice api

* refine

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* r...