* add sigmoid composite rule

* add python api

* fix code style.

* add check_prim=True

* add sigmoid fp16 unit test.

* fix code style.

* rm bf16 check_prim

* fix code style.

* add composite op hard swish

* add test grad

* update apis calling

* update date range

* add ut

* tune off cinn for 0-d shape

* skip cinn

* implement composite full_like and simple unit test

* implement op tests for composite full_like op

* some modification as reviewers suggested
add cinn op test to CMakeLists.txt
fix code style

* fix code style

* modify input args of prim fill_any_like op

* resolve conflicts

* resolve conflicts

* modify python api and unit tests as suggested

* resolve conflicts

* resolve conflicts

* use framework.dtype to convert dtype in Op test

* add silu composite rule

* fix code style.

* add silu fp16 unit test.

* Add flatten composite rule

* get the right xshape and pass func test

* add cinn unit test

* Remove cinn test, wait for it to be added after repair

* add comp test to test_flatten_contiguous_range_op.py

* remove func test on composite_ops

* Add comments to maybe_wrap_dim func

* remove commented code

* fix the problem with 0D tensor case

* add flatten split rule comment

* fix syntax issues

* block flatten on resnet_prim_cinn

* remove maybe_wrap_dim func

* Use none instead od xshape

* change amp with to_prim

* fix prim amp

* fix rules

* fix liear

* add amp test

* add test

* disable this test on cpu

* disable this test on cpu

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Co-authored-by: Ncyber-pioneer <chenzhuo@tju.edu.cn>

* map output from composite rule to origin op

add mean layer_norm dropout op map

add input map check

composite softmax support input shape []

* polish log

* [prim] add dropout composite rule

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Co-authored-by: Ncyber-pioneer <chenzhuo@tju.edu.cn>

* fix composite mean op map

* fix composite check output

* init layer_norm

* init layer_norm

* map output from composite rule to origin op

* add dropout op map

* add input map check

* polish log

* modify rules

* success test_forward

* modify test without cinn

* modify cinn test

* modify cinn test

* except fp64

* except fp64

* delete flatten

* delete unused change

* review

* pass cpu test

* code style

* delete flatten fp16 error

* modify flatten test

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Co-authored-by: Ncyber-pioneer <chenzhuo@tju.edu.cn>

* check win

* fix random error

* fix manage

* beta

* small commit

* add batch_norm composite rule

move composite test case

remove unuseful var

add composite op blacklist

* small change v2

* finish the test_composite_mean and test_composite_mean_grad

* add ops assertion to the tests

* add cinn test

* fix the error and inappropriate usage in func: mean_composite

* remove the ref of outer lib in primtives.py

* modify sample code of reduce_sum

* fix composite mean op map

* modify testcases to test more float type

* remove cpu float16 test

* cinn test fix

* remove reduce_max

* change the name sum to sum_x

* change the use of reduce_sum to sum

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Co-authored-by: Ncyber-pioneer <chenzhuo@tju.edu.cn>

* map output from composite rule to origin op

add mean layer_norm dropout op map

add input map check

composite softmax support input shape []

* composite softmax support shape []

* polish log

* solve conflict

* polish code

* polish op map output

* add check dtype

* add gelu composite rule

* use full replace fill_constant

* change the form of calculation

* remove float16 test for composite gelu

* reformate code

* remove float16 test case

* add forwad with prim and backward without prim test

* add float16 test for composite gelu and add high dims test

* add float16 test case and high dims test

* shield float16 and cpu test case

* increase train step to 10 in test cinn prim gelu

* replace pow to multiply

move composite test case

remove unuseful var

add composite op blacklist

* support @to_static+to_prime+cinn

* fix code logic

* debug4

* debug5

* debug6

* debug7

* debug 8

* debug 9

* debug10

* debug11

* debug11

* debug 12
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>