PaddingRNN model memory optimize

* make timeline.py compatible
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* Follow comment
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add all_kernels_must_compute_runtime_shape example for speedup infershape

Fix api.spec

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* resolve #15618
Backgroud: the PR #15398 raised the box_coder op performance regression, we optimized the code via the more efficency leveraging opemmp.

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Add the inverse trigonometric function

* fix broadcast with mp mode

* polish code test=develop

* fix bcast strategy test=develop

* fic cpplint test=develop

* fix py3 failed test=develop

* fix comment test=develop

* update comment test=develop

* remove concast_cast and refactor code test=develop

* reduce flag use test=develop

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Fix NaN bugs for static quantization strategy (mutil-cards train). 

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Imperative transfer gru unit

Add clone function for IrGraph.

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Add channel wise quant op and channel wise dequant op.

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* Remove Desc in Forward Pass

* Refactor VarBase

* Add dbg info

* Only check type in imperative mode

* Polish code and support optimizer

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* Fix stop gradient problem in PyLayer

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* Fix conv2d's attrs

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fix npair loss

refine jitkernels and test

Change the download and compress command of cmake.

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