* Serialize proto in binary rather than text

* move del ops out from loop

* refine

* Skip GenCollectiveBoxingPlan if no CollectiveBoxingTaskNode

* multi core to proto

* copy pointers explicitly

* make toproto const method

* reorder

* larger tol

* Update test_layers_conv1d.py

* fix deadlock

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* add pow module

* update

* update

* move pow module into new file

* refine doc

* format

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* device_infer_fn

* Device::local_call_instruction_name

* implement UserOpExprDeviceInferContext

* merge master

* refactor UserOpConfWrapper

* fix a ci bug

* Refine (#4825)

* fix segmentation fault bug

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* feat(Optim): add sgd

* add adam optimizer

* add adam optimizer

* add adam optimize module

* add adam optimizer module

* fix adam optimizer module bug

* add adam optimizer

* file format

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* fix comment

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* fix_cpu_only_complie_bug_with_gcc_7_3_0

* move -lrt to oneflow.cmake

* minor fix

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* feat(Optim): add sgd

* fix(*): add no_grad guard in optimizer

* fix(*): fix bug in optimizer test

* style(*): format codes

* style(Optimizer): refine codes

* style(Optimizer): refine codes

* fix(Optimizer): fix bug in ParamGroup

* fix(*): add __init__.py

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* Accumulate partial grad to acc tensor promptly.

* refactor(Tensor): add AutogradMeta and delete retain_grad in constructor

* refactor(AutogradEngine): function node just cache autograd_meta and
                          output tensor_infos

* fix(*): fix bugs and add zeros op

* Capture detached output tensors.

* fix(*): fix merge bugs

* style(*): refine code

* fix(*): refine FunctionNode release

* fix(Autograd): save input tensors which requires_grad is true

* fix(*): fix bug

* format code

* chore(*): add head file in cmake

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* fix crossentropy_loss bug

* fix comment

* fix comment

* format test_crossentropyloss.py

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* add negative and nllloss module

* add negative and nllloss module

* add negative and nllloss module

* add negative and nllloss module

* add nllloss impleted, relay on other module, do not merge now

* fix nllloss bug

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* fix comment

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* Serialize proto in binary rather than text

* refine

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* add python interface

* minor fix

* change name

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* ArgTuple

* refactor BlobRegister::GetObject4BlobName

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* add GetRank and GetWordSize interface

* minor fix

* add dropout module

* update identity module and test case

* add std module

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* Fw/Bw support double compute stream

* NCCL comm create by stream id

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* StreamIndex: NcclComputeStream for each subgraph insert nccl logical.

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* refine code for review

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* Pipeline Parallelism: checkpointing insert identity buffer op

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* fix bug and runnable

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* Pipeline buffer pass

* Pipeline runnable

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* pipeline_stage_id_hint and rollback checkpointing buffer

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* rollback repeat hack

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* InsertNcclLogicalOps support multi-subgraph by placement group

* Implement of InsertNcclLogicalOpPass support multi-subgraph and batch acc and pipeline parallel

* Pipeline + 2D-SBP runnable

* remote note

* WARNING to INFO

* refine code for review & fix for new dtype infer

* add note

* Hotfix ib qp max_send_wr

* Pipeline Debug: hack copy hd/commnet regst num to 2 and increase buffer regst num +1

* add buffer op for copyD2H pipe

* fix bug of insert buffer in backward pass stages

* rollback buffer hack

* buffer size = total stage num

* Hack buffer size of loader data/label

* Double buffer

* fix bug of check

* hack buffer size

* Fix buffer connected bug. and refine buffer size

* collection reserve for saving rehash cost

* refine code and note

* set dst buffer size to max

* refine dst buffer size

* Refine Backward buffer size

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* dont use import to determine if export onnx

* fix

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* Pipeline Parallelism: checkpointing insert identity buffer op

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* Pipeline buffer pass

* Pipeline runnable

* rollback NOT merge mem chain hack

* pipeline_stage_id_hint and rollback checkpointing buffer

* Pipeline buffer only. test pass.

* rollback repeat hack

* Remove CopyHd Hack; Add buffer cross label loader and loss

* InsertNcclLogicalOps support multi-subgraph by placement group

* Implement of InsertNcclLogicalOpPass support multi-subgraph and batch acc and pipeline parallel

* Pipeline + 2D-SBP runnable

* remote note

* WARNING to INFO

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* add note

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* add 163 centos mirror

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* add logsoftmax module

* add sigmoid module

* add maskedfill module

* format

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* add arange module

* fix arange module

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* refine

* update logsoftmax module

* update eq module

* update eq module

* refine

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* refine

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* format

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* add modules:

- sum
- mean
- add
- sub
- mul
- div
- reciprocal

* add +, -, *, / for tensor

* add test case for add,div,mean,mul,reciprocal,sub,sum

* refine test cases

* refine sum module

* remove useless oneflow_export for mean and sum

* add tensor op test for mean and sum

* add CrossEntropyLoss module

* refine Sum

* sum axis attr not found

* refine sum

* refine math ops

* refien cross entropy loss

* refine (not finished)

* fix scalar div, sub

* rename test Module name and refine test case

* rename test Module name and refine test case

* add neg method for Tensor

* remove useless improt items

* refine

* reformat

* remove useless dynamic attr

* fix math_ops and loss

* rename test

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* delete name

* refine codes and format

* style(*): format codes

* fix(MathOp): fix merge bug

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* add exp_tanh_gelu module

* fix comment

* fix comment

* fix comment

* change docs location

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* add conv2d module

* support bias

* add conv2d test

* update conv2d test

* return nullptr instead of LOG(FATAL) when arg is not found

* format

* format & update conv2d test

* update test

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* fix a bug

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This reverts commit 32e439ba.

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* add concat_matmul module

* add concat_matmul module

* fix comment

* fix comment

* fix comment

* fix comment

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* Pipeline Parallelism: checkpointing insert identity buffer op

* fix complier err

* identity buffer op custom out regst num

* fix bug and runnable

* Chain merge divide fw/bw; MemChain ignore merge; copyhd regst num hack

* Pipeline buffer pass

* Pipeline runnable

* rollback NOT merge mem chain hack

* pipeline_stage_id_hint and rollback checkpointing buffer

* Pipeline buffer only. test pass.

* rollback repeat hack

* Remove CopyHd Hack; Add buffer cross label loader and loss

* refine code for review & fix for new dtype infer

* add note

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* add tmp.rst

* fix bug

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* fix typo

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* Return index for SaveTensorForBackward.

* Fix layer_norm gradient function.

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