PaddingRNN model memory optimize

* make timeline.py compatible
test=develop

* Follow comment
test=develop

add all_kernels_must_compute_runtime_shape example for speedup infershape

Fix api.spec

test=develop

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

test=develop

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

test=develop

test=develop

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

test=develop

Imperative transfer gru unit

Add clone function for IrGraph.

test=develop

Add channel wise quant op and channel wise dequant op.

test=develop

test=develop

test=develop

* Remove Desc in Forward Pass

* Refactor VarBase

* Add dbg info

* Only check type in imperative mode

* Polish code and support optimizer

test=develop

* Fix stop gradient problem in PyLayer

test=develop

* Fix conv2d's attrs

test=develop

test=develop

fix npair loss

refine jitkernels and test

Change the download and compress command of cmake.