* supoort nllloss 3dim

* supoort nllloss 3dim

* merge conflict

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* support crossentropy loss 3dim

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* fix interpreter determin output leaf and grad

* fix GradMode get

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Generate cfg header and source files in parallel and prevent rebuild from scratch when Python version changes (#4876)

* refine

* Update cfg.cmake

* Update cfg.cmake

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* align mean module

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* support tuple of negative dim param

* refine

* format

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* fix export experimental docs bug

* fix export experimental docs bug

* fix export experimental docs bug

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* feat(PySize): support negative index and add test

* style(*): refine code

* format code

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* move implementation to .cpp

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* OpExpr::New returns Maybe

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* fix GroupNorm and modify test case

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* fix adam weight decay

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* align squeeze module with torch

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* fix bug

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* numpy: create np arr in python and copy in c++, use busy loop to wait

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* reformat

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* add CopyBetweenMirroredTensorAndNumpy

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* use less event records

* more comments

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* Do not save inputs in function nodes even if requires_grad is true.

* Allocate raw memory with actual size.

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* add temp parallel ctx for single card

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* add TODO comment

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* dev_compare_cfg_file

* add def of org_content

* minor fix

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* add broadcast_like module

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* A more efficient implementation of NLL Loss

* A more efficient implementation of NLL Loss

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remove MakeParallelDescByDevice, fix the missing setting of parallel_desc in InstructionMsg copy constructor (#4850)

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* add experimental apis

* merge master fix conflict

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* init adamw optimizer

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* add rmsprop optimizer

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* add broadcast matmul support

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* linear module support high dimension input

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* fix eager with unknow symbol id

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* refactor(Optim): refine optimizer codes

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* add scalar input support

* format

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* Rewrite sparse softmax cross entropy gradient func.

* Rewrite reduce ops gradient funcs.

* Add crossentropyloss grad unittest.

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* infer shape in main thread and fix multi-thread bug

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* void -> Maybe<void>

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* rename op_infer_ctx_1/2

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* fix typo

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* add broadcast matmul support

* refine

* add batch matmul support

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* add ones_like and zeros_like op with tests

* docs(*): add documents for ones_like and zeros_like op

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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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* del blank line

* minor fix

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* rebase master

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* fix format

* fix add, sub, div module unit tests

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* remove logs

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* little changes

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* remove print

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* initial commit

* format code

* add test case for align_corners

* add compare_with_numpy

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* 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

* remove ForeignCallBack in Operator::ToOpAttribute

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