31 Commits (f086ebb8b9b8e21f7d0d2056f6a961da080edfb2)

Author	SHA1	Message	Date
Yang Yu	5a4367bb16	Update	7 years ago
fengjiayi	bff0cbfcd3	Merge pull request #7025 from JiayiFeng/rename_output_of_softmax_and_activitions ... Rename output of softmax and activations	7 years ago
Luo Tao	761b329793	unify the indentation of license	7 years ago
fengjiayi	e0be63bf09	change activations	7 years ago
QI JUN	61ec0b9516	Refine device context (#6433) ... There are mainly following fixes: - take `DeviceContext` as the template parameter of math functors and OpKernel instead of `Place` - remove `eigen_device` interface in base class `DeviceContext` - remove `GetEigenDevice` interface in `ExecutionContext` and base class `DeviceContext` - remove unused `platform::EigenDeviceConverter` - rename `REGISTER_OP_GPU_KERNEL` to `REGISTER_OP_CUDA_KERNEL` - rename `USE_GPU_ONLY_OP` to `USE_CUDA_ONLY_OP`	7 years ago
Abhinav Arora	113c026d12	Swish activation operator (#6358)	7 years ago
dzhwinter	513b1e010f	"add floor, ceil, round op" (#5898) ... * "add floor, ceil, round op" * "reuse zero gradient" * "fix divide zero" * "fix numpy floor error"	7 years ago
Kexin Zhao	81ba077e7b	small fix	7 years ago
QI JUN	669786bfe1	refine square_error_cost layer (#5216) ... * reimplement pow operator * add pow_grad operator * fix code style * fix build error * fix op_test bug * revert pow operator * add FIXME comment	7 years ago
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	7 years ago
Abhinav Arora	3b954e1ddc	Adding Hard Sigmoid Activation (#4771) ... * Adding Hard Sigmoid Activation * Adding a comment for slope to be only positive * Fixing grammatical mistake in comment	7 years ago
Abhinav Arora	b504a2346c	Adding the Thresholded Relu Op (#4685) ... * Adding thresholded_relu op * Adding test for thresholded relu op	7 years ago
kexinzhao	9995aed114	Implementing Softplus operator (#4690) ... * implementing softplus * small fix * small fix * small fix * small fix	7 years ago
kavyasrinet	1397e17f6b	Implemented the hardShrink activation (#4653) ... * Implemented the hardShrink activation * Fixing the unit test	7 years ago
Siddharth Goyal	6604d7cda2	Add logsigmoid (numerically stable) and softshrink (#4663) ... * Add numerically-stable logsigmoid activation * Add softshrink operator * Adjust relative tolerance for grad-check * Address review comments	7 years ago
zhouxiao-coder	e6421249d5	update to latest	7 years ago
kavyasrinet	f30a1f42f0	Adding relu6 activation function (#4607)	7 years ago
zhouxiao-coder	53574e54a1	reslove merge conflict;reimplement ELU activation with functor	7 years ago
Kavya Srinet	154a6ed29c	Implementing tanhshrink operator	7 years ago
Kavya Srinet	60af56c1b8	Added Leaky Relu activation	7 years ago
zhouxiao-coder	a815d6abcf	elu: Optimize gradient calculation;Add more comments	7 years ago
Yu Yang	a8c6ce9b4d	Merge branch 'develop' of github.com:baidu/Paddle into feature/BetterActivationKern	7 years ago
Abhinav Arora	0c3eee09ff	Implementing the SoftSign activation operator	7 years ago
Yu Yang	337b7ebe77	Unify Activation functions and simplify register code	7 years ago
Yu Yang	3a5693e0a8	Add Skeleton of Double support	7 years ago
qijun	5824d85001	add activation operators and python unittests	8 years ago
qijun	dadace3178	add more activation functors	8 years ago
qijun	e515f18dd8	add tanh and sqrt activation operators	8 years ago
qijun	0957fa7b3c	fix relu functor and revert some codes	8 years ago
qijun	c18ebc3022	remove macros	8 years ago
qijun	d736fc0e00	add activation macro	8 years ago