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* fix upsample nearest bug

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* fix upsample bilinear bug

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* Add partial unary and math functional apis.

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* fix(NotContiguousInput): fix not contiguous ndarray to tensor

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* add conv-with-bias test

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* implement automated test

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* Add ctc_greedy_decoder op

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* fix upsample nearest bug

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* fix upsample bilinear bug

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* add changes

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* Device::compute_dep_object_

* sequantialize instructions in the same stream.

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* minor fix

* fix compiler' complains

* Implements EagerConsistentTensorImpl::New

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* fix compiler complains

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* Add pad grad func.

* Fix constant pad grad func.

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* add missing JUST

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* fix compile error on gcc5

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* check in updates

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* refine pow module and its test

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* added flatten backward

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* Fix cmake

* Add PyYAML requirement.

* Add JUST

* Fix scalar IsIntegral and IsSigned

* Add scalar add grad func.

* Fix norm grad func to support dynamic attrs.

* Refactor math modules

* Refactor activation modules.

* Support DataType.

* Add functional range.

* Support DataType.

* Add functional argmax and flatten.

* Add functional argwhere.

* Add functional broadcast_like

* Add functional cast, zeros_like and ones_like.

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* Recursive determine input tensors.

* Add functional conv2d, bias_add, eq, exp, expand, gather, dim_gather, greater, less, matmul and broadcast_matmul.

* Fix scalar_div_by_tensor grad.

* Update generate_functional_api.py

* Update generate_functional_api.py

* Add functional activation, argmax, eq, layer norm etc.

* Fix dynamic sparse_softmax_cross_entropy.

* Add functional expand_dims and where.

* Fix conversion from python object to dtype.

* Fix conversion from python object to dtype.

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* Fix crash since function has been cast with wrong function signature, the converted function behavior is undefined.

* Check and throw error.

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* Use Maybe instead of throwing exception directly.

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* Enable static conv op.

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* Use default target other than custom command.

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* Remove unused code.

* Add partial unary and math functional apis.

* Revert elementwise pow.

* auto format by CI

* move conv grad functor to grad_functor; add poolNdGrad functor, fix pool in gradient_funcs to use functional api

* Revert "Access device_infer_func dynamically since this func maybe has not been registered while the op expr was constructed."

This reverts commit 07cc4a59dc62ee5bf885f3c0402cfdc3a2674721.

* Lazy construct functor to make sure that the operators has already been registered.

* fix minor bug in pool grad

* make pool_gpu_kernel stateless

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* Refine

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* Migrate array ops.

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* Revert maxpool test.

* Revert unpack all

* Fix masked fill

* Refine

* Add nn ops.

* Refine

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* Add BUILD_BYPRODUCTS for ExternalProject_Add

* build in one step if it is ninja

* fix yml syntax

* limit max-parallel

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* rm useless

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* add --shm-size=8g

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* refine and add test case

* support ellipsis type slice

* refine

* refine

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* tensor slice assign supports broadcasting

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* add new ones module

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* refine and add test case

* support ellipsis type slice

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* refine

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* register fn to localtensor

* make sure input's dtype == update's dtype

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