v1.2.0

This is an incremental release.

a575d14 Update VERSION_NUMBER (#263)
3ec6374 Change a debug "error" message to warning message (#260)
08cf38f add ConstantLike (#255)
b2ee580 add Less v9 (#256)
416a16a Frontend model test (#252)
2ae9223 Fix python3 issue and disconnected nodes (#248)
a365d26 Update data_type.py (#245)
8cb530f Change onnx-tf behavior regarding a corner case ONNX spec does not address (#247)
7162525 bias_add boradcasting fix (#243)
16bc0b2 add mvn to backend (#241)
b91cba3 add pack unpack to frontend (#236)
53e3bbb Update data_type.py (#238)
4d3836f add expand support (#234)
e1bca54 support max_pool_with_argmax v8 (#228)
2e1e72a rnn_cell_bw is already an array (#225)
dfc6f01 fix conv transpose backend (#223)
1e3209b support min/max/mean/sum v8 backend (#221)
317d70b fix unsqueeze backend (#220)
fa6d4e6 add yapf to README.md (#218)
aa02ddb add imagescaler support to backend (#215)
1a07332 Fix dropout (#217)
8d19f27 force to use test mode in bn v7 (#216)
ce795a6 add slice support to frontend (#214)
0006132 enable non-strict mode (#212)
af772aa some legacy fix (#210)
486d989 Refactor backend (#205)
1c05197 multi outputs support (#204)
5690957 usr defs.ONNX_DOMAIN instead (#206)
26189e9 unimplemented exception domain support (#198)
d20d3d7 Add instance norm (#202)
b9b8014 fix breakage of backward compatibility (#201)
c5819fa Update batch_normalization.py (#200)
d277098 Update math_mixin.py (#199)
d6ac8b8 add optimizer arg to api (#196)
5a21983 New make node api (#197)
516e986 Support ver 7 (#193)
cd8a48b simplify get_tf_pad and use native pool when count_include_pad is 1 (#186)
4cd611a Fix conv and identity (#195)
de00b46 add cast v6 in frontend (#191)
89db14e Fix lstm and add rnn, gru (#156)
e882298 bug fix and some improvements (#192)
871d867 Refactor frontend (#184)