* 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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* debug

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* Rename CpuStreamType to AsyncCpuStreamType

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* fix_circular_deps_of_sbp_py

* address reveiw

* Revert "address reveiw"

This reverts commit 004ee6f89d7cec2972c77b40dc2659bd19078e2c.

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* fix

* fix

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

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* Use function interface

* Delete the old interface file

* Delete the old interface file

* Delete the fifth part of the interface file

* Delete comment

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* support_tensor_to/to_local

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* sync gpu data

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* backup

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* auto format by CI

* remove boxing

* refine

* Fix optional

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* 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

* rename functiona SyncData to SyncMetaAndData

* of_format

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* set logical_shape correctly

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* reformat and address pr comment

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* Use function interface

* Delete the old interface file

* Delete the old interface file

* Delet docs ctc_greedy_decoder

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* remove experimental

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* add multi client multi machine test

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* if -> elif

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* try three times and upload log

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* add host key to all machines

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* Multi-Runtime for multi nn.Graph

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* refine

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* fix test_dataset

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* remove useless empty shape init

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* fix argmax op test

* fix add_n op test

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* fix bce loss op test

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* fix squeeze op test

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* resolve confilct

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* add memory copy for 0-dim

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* support copy0dim

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* remove unuse codes

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* add conv3d module

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* fix format and autotest

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* Fix optional

* update

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* add batchnorm3d module

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* feat(Tensor): support 0shape tensor

* math binary broadcast support emoty tensor input

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* auto format by CI

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

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* fix comment

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* feat(ReduceOp): refine reduce ops initialize value

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* test(AbsOp): fix test bug

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* fix bug

* add cast_like functor

* convert to functional impl

* convert to functional

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* Move Global<CommNet> to env scope

* Revert Global RuntimeCtx New

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* rewrite slice_update backward

* use functional api

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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)

* refine

* add inplace ops

* python wraper scatter_add inplace

* dev inplace ops

* refine dim_gather (using macros register mechanism)

* add grad of scatter_add_like

* refine (add src, like versions for scatter)

* refine src/like tensor

* gather refine(no need outplace/inplace versions)

* reformat

* refine

* test case of dim scatter

* test case for dim_scatter_add_like

* 1n2d test case for dim_scatter_add_like

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* fail to sccater_add_like on 1n2d

* refing sbp

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* test case for scatter_add/update like ops finished

* test cases for scatter ops

* refine, merge test class

* startup of api docs

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* fix make error but still segment fault

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* remove inplace proposal and fix macro name

* remove outdated atomic add

* move sbp infer

* add const and throw error

* add check

* set grad op

* add scatter scalar

* add scatter scalar gpu kernel

* add torch style backprop

* add torch style backprop check

* align with master

* remove redundant sbp check

* add test

* add float16n register

* fix sbp

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* add new line

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* revert dim gather

* extract dim_scatter_add

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* add add/update functor

* rewrting by functors

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* remove dim_gather_scatter_uitl.h

* add blank line

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* refine dim_scatter_scalar files name

* refine

* refine register ops

* refine

* add F.dim_scatter_scalar

* add scatter op

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* add scatter reduce arg

* finally(!): a draft for scatter constitent with pytroch

* change import package name

* remmove lazy test and add scatter_add and scatter_mul

* startup of scatter backward op

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* scatter ops backward finished

* add scatter, scatter_add test cases

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* rebase

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* fix tick ibn sbp signature

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* add autotest tan tanh floor arctanh

* add autotest tan floor tan

* Add autotest  for log1p

* Code format

* delete no use import

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* delete merge error branch

* Delete log1p.py

delete merge error branch

* amend code because the list of master change

* amend eye test code

* amend eye docsting

* amend eye docsting

* amend eye docstring

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* auto format by CI

* amend param of eye

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* add minimum and maximum

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* align view input style with torch

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* restruct activation grad functional

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* rewrite arange

* rewrite argwhere

* argwhere tensor testcase

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* add autotest for some math ops

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* refein

* refein

* refein

* port more changrs

* dirty workaround in autotest

* use cpu pkg to build doc

* fix

* fix

* dirty fix
cpu0_device

* refein

* refien

* refein

* refien

* reffine

* refein

* fix

* fix dataload api

* fix

* fix

* refein

* refein

* refein

* refei

* fix

* use a different path for lenet

* fxi

* add @flow.unittest.skip_unless_1n1d() for graph tests

* fxi

* refein

* refien

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* rebase

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* mv clang tidy to simple ci

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* fix return type error on gcc 4.8.5

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* Use function interface

* Delete blank lines

* modefied scalar add

* elementwise add

* broadcase add

* modified  ScalarAddByTensor

* modified Addmm

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* fix _sub errot

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* modified  _inplaceable

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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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