9 Commits (7ea6b1d1ca96f91210948ddfdd4c1dc11cc56187)

Author	SHA1	Message	Date
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
guosheng	3e7fff4188	Fix calculations in gru_unit_op	7 years ago
kexinzhao	c0d2ca54b9	polish_g_to_l (#5367)	8 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	8 years ago
Yang Yang(Tony)	db157eda45	New Op Test framework. (#4962) ... Pass all forward op test	8 years ago
Yu Yang	73a8b78a72	Correct OpWithKernel's infershape (#4847) ... They are public now	8 years ago
guosheng	0bc5a122d4	Refine gru_unit_op by optional bias	8 years ago
guosheng	1cabdb8708	Refine gru_unit_op according to comments to support multiple activation types	8 years ago
guosheng	0922fca41e	Add gru_unit_op	8 years ago