Paddle

Author	SHA1	Message	Date
Yu Yang	be00b0c4d6	Gradient check use graph (#5027 ) * Simplize Gradient Check * Stash * Extract apply_backward_pass to backward.py Rename apply_backward_pass to append_backward_ops * Use graph API to check gradient * Fix ci * Fix CI * Fix backward for double precision * Stash * Fix CI * Fix ci * Ignore GRU test * Ignore xe op * Fix CI * Fix softmax with xe gradient The correct equation should be IG = OG * (d_softmax_with_xe()) * Fix typo * Fix merge error * Disable LRN	8 years ago
dangqingqing	72ba02701b	Add bool type for attribute and use it in dropout_op.	8 years ago
Xinghai Sun	ffeeef82f3	Remove unnecessary mask operations in test phase for dropout operator.	8 years ago
Xinghai Sun	585d12a307	Add is_training attr and testing phrase compuation to dropout operator. Change type of dropout_prob to template typename.	8 years ago
Xinghai Sun	0532662902	Merge branch 'develop' into dropout	8 years ago
Xinghai Sun	963a4f3c4e	Update by following reviewers' comments. Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into dropout.	8 years ago
Xinghai Sun	c657537b4f	Correct some typos.	8 years ago
Xinghai Sun	b1a185524f	Fixed SEGFAULT of dropout operator in GPU.	8 years ago