fix the CudaPinMemory bug for the equal op and add the test case for the equal op

Decrease the number of running iterations to reduce CI time.

CI system shows it decreased the unittest time from about 90 seconds to about 30 seconds

add lars to fleet meta optimizer

* refine launch and distributed repr string for print

* set default value to strategy in distributed_optimizer test=develop

* Add naming rule if not specific InputSpec.name

* fix function name typo

* refine comment

* remove print statement

* fix frobenius_norm error, rm p=0 2-axis support. test=develop

* fix summary rnn

* fix kl_div bug when input shape is [1] and reduction is batchmean

* enhance collect_op for dygraph, test=develop

* enhance detection ops with lod, test=develop

* support none bbox left in generate_proposals, test=develop

* unfiy MultiLevelRoisNum, test=develop

* update core.ops, test=develop

* add op register for new input & output, test=develop

* test=develop, add ps auto

* fix weight

* fix weight and fix doc

* fix embeeding padding idx

* add UT

* fix interval

* fix unsqueeze in dygraph

* add test

* add test

* fix typo for interp_v2,test=develop

* align with torch, test=develop

* add area mode, test=develop

* fix bug, test=develop

* format notes, test=develop

* update for converage, test=develop

* fix bilinear, test=develop

* fix bicubic, test=develop

* fix typo, test=develop

* fix coverage, test=develop

* fix helper.input_dtype, test=develop

* polish notes, test=develop

* polish notes, test=develop

* polish notes, test=develop

* fix 2.0api, test=develop

* fix, test=develop

* add auto parallel L1 implementation
test=develop

fix the bug for dtype check for the argmin/argmax

test=develop

* add lstm cudnn of padding data and refine cudnn codes

* add descriptor cache

* fix self arugments

* deal case if instance is None

* clean code

* fix usage

* add TranslatedLayer.program method

* add unittests & update example code

* polish example code

* update program api example code

update the check for the dtype check for the argmin, argmax

test=develop

* fix _to_tensor method of Distribution class

* Add unittest

* let dtype be consistent with value in log_prob and probs

* fix format

* fix dtype problem and change unittest

* fix dtype of Numpy class in unittest

* add formula for entropy and kl

* change formula

* fix kl formula format

* fix kl formula format 2

* change gt to np in unittest

* optimize unittest format

* delete dumplicate

* delete dumplicate 2

* extract common function used to convert dtype value

* fix unittest format and extract common function

* change function name