* Delete part of the interface

* auto format by CI

* Delete comment

* Delete comment

* delete oneflow.rst advanced

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* init fakequantization op

* add backward op for fake_quantization

* add min_max_observer op and refine fake_quantization

* fix min_max_observer bug

* add moving_average_min_max_observer op

* add test example for min_max_observer

* add min_max_observer test

* add moving_average_min_max_observer op test

* fake quantization has bug

* try to fix zero_point calc bug

* fix test bug

* fix quantize op bug

* add docs for min_max_observer_op

* add docs for moving_average_min_max_observer_op

* refine doctest

* build docs for quantization

* refine doctest

* fix moving_average_min_max_observer op

* fix comments

* add post quantization op

* fix quantization op bug

* add doctest

* fix comments

* fix comments

* auto format by CI

* fix bug

* fix bn ci bug

* fix doc bug

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* gather mean, sum

* abs, acos, acosh, slice

* abs, acosh, argwhere, bmm, chunk, concat, slice

* constant, diag, eq, exp, expand, eye, flip, floor, gathr_nd, >=

* greater, less, less_equal, maksed_fill, masked_select

* asin, asinh, sin, cos, atan

* std and related ops

* matmul, ne, negative, permute, repeat, ceil, expm1

* reshape, round, sign, sinh, squeeze, stack, tile etc.

unsqueeze, where, transpose, triu

* fix argwhere default arg

* fix squeeze x not found bug

* remove Atanh()(input)

* refine modules(bmm, cast, diag, expm1)

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* fix upsample nearest bug

* fix upsample nearest bug (#5347)

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* fix upsample bilinear bug

* fix export bug

* add api

* add api

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* export functors of tan, erfc, scatterNd

* refine log1p, erfc, tan, scatter_nd

* rename log1p method

* 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 functional sub.

* dev scatter in cpp

* add docstr for flow.F.scatter

* refine scatter signature

* add check type

* refine check

* add PyClamp

* refine scalar

* remove scalar reference

* add flow.F.pow in cpp

* Dev refine scatter py2cpp (#5776)

* Adjust the python functions order.

* Refine

* fix PyScalar(max) error

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* replace ConsistentTensorInferResult::input_parallel_distribution_ with ConsistentTensorInferResult::input_tensor_metas_

* fix compiler complains

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* skip dataloader test

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* break after test few batches

* refine

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* better repr of nn.Graph for debug

* add sbp placement repr

* fix

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* add graph build repr

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* fix for None return value

* Update lazy_op_interpreter.cpp

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* add first batch of nn functional methods

* fix CLA

* remove #doctest

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* add concat

* rm scatter add functor in gather files

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* fix bugs in shareing EagerBlobObject::blob_desc_.shape and EagerBlobObject::blob_.shape

* feat(EmptyOp): add flow.empty

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* refactor(Tensor): Tensor constructor use empty_op

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* fix(*): init shape when InitBlob

* fix(*): Constant and Empty Op use broadcast sbp

* fix(indexing): replace MakeTensor with functional::Empty

* fix(*): fix compile bug

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* fix(nnGraph): make eager tensor

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* fix(Stride): infer stride before initializing shape

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* change flip_code to scalar

* add print info

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* add script

* refein

* refien

* refein

* refein

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* fix upsample bug

* fix bn ci eroor

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* Delete assingn_op.py

* delete categorical_ordinal_encode_op.py constant_op.py

* Delete  get_variable.py

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* support_tensor_to/to_local

* export consistent_tensor.to_local()

* refine code

* export tensor.to()...

* refine code

* refine code

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* make of_format

* remove to in pyTensor

* sync gpu data

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* backup

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* rebase

* check in gen py

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* fix b2p error

* auto format by CI

* remove boxing

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* /minor fix

* minor fix

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* remove useless head file

* Fix optional

* remove to in tensor.cpp

* update

* Support symbol placement type in functional.

* add sbp and sbp list arg

* refine

* 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

* refine

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

* rename functiona SyncData to SyncMetaAndData

* fix function yml

* refine

* refine

* refine collective boxing

* make of_format

* of_format

* add to_local to pybind

* refactor EagerBoxingInterpreter

* minor fix

* optimize CastParallelDistribution

* add placement_sbp_util

* minor fix

* eager boxing backward

* minor fix

* sync shape and data when tensor_to_local

* fix rpc_token bugs

* fix p2s backward bug

* refactor AsyncRpcCtx

* set logical_shape correctly

* simplify implementation of consistent_tensor.to_local

* refine

* initialize rpc_token with zero

* refactor grad functions of to_consistent/to_local

* refine

* reformat and address pr comment

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* refactor eager_nccl_reduce lernel

* refine

* refine to_consistent api

* ban_non_pod_data_in_eager_boxing

* refine

* refine

* refine

* backup code

* THREAD_LOCAL_CACHED

* Delete thread_local_cache.h

* bugfix: DeviceId4ParallelId -> MachineId4ParallelId

* optimize

* minor fix

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* Rename CpuStreamType to AsyncCpuStreamType

* Rename CpuStreamType to AsyncCpuStreamType

* backup code

* cpu broadcast

* backup code

* inplace call broadcast when current rank is root

* address pr comments

* refactor  to

* Fix compilation warning for old version gcc (#5757)

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* use default_generator.seed() as random_seed in init

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* auto format by CI

* fix sampler bug

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* relax test threshold, add dataloader test data to .gitignore

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* auto format by CI

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* Fix batch norm if not track_running_stats

* test(BatchNorm2d): add autotest (#5734)

* Fix

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* rename rpc_token to TransportToken

* minor fix

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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

* Refactor functional sub.

* Refactor mul and div

* Refactor functional sub.

* Fix div

* Fix add

* Fix add

* refacotr_maximum_minimum__py2cpp

* refine

* refine

* minor fix

* refactor

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* comm_net_sequence_number

* remove piece_id

* Remove IsAllowedActor

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* beautify stack frame

* make stack frame python style

* display more word

* refine

* add error type info

* add error type name

* refine and add summary_msg, msg info

* refine

* delete useless

* delete useless

* refine

* refine

* refine

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* pass test on linear with training

* Refactor RuntimeCtx for multi-runtime

* refactor inplace to support nn graph

* block support iterator

* block iter add check

* fix scalar_mul op conf build

* deal with inplace after merge master

* add alexnet graph test

* add cpu test and format

* cout to glog

* deal with Job run finish bug

* refactor lazy deal with inplace

* deal with 0D tensor

* update data path

* address review

* deal with lazy default attr

* mv according to ci

* merge master

* fix for ci

* fix for ci limit

* block proxy func

* support module custom func and refacotr get attr of block

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* Add env ONEFLOW_THREAD_LOCAL_MESSAGE_QUEUE_ENABLE

* refine GetGlobalWorkStreamId

* refine name

* refine

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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

* Refactor mul and div

* Refactor functional sub.

* Fix div

* Fix add

* Fix add

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* LazyInterpret::ApplyImpl for SourceUserOp and Copy

* Fix bug of CropMirrorNormalize ops; output ops check

* add test

* Add test case for tensor.to in nn.Graph

* remove useless code and refine error catch

* refine note

* Support CoinFlip module with consistent and device

* using const&

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* Dev logical_and/or modules

* Add docs

* Add autotest

* Add single_client api

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* consistent_tensor_to_api

* add check_meta_consistency

* Update to.py

* refine

* refine

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