24 Commits (f3818bd3358f5218e601b26c93c0a51cd015d74f)

Author	SHA1	Message	Date
Yang Yang(Tony)	20667e1e3e	add fill_constant_batch_size_like_op to Static RNN's h_boot (#5332)	8 years ago
Yu Yang	e7c67e1195	Add stop_gradient in Variable (#5361)	8 years ago
Yu Yang	51d4afaae9	Rename program->main_program, init_program->startup_program (#5360)	8 years ago
Yu Yang	0a32e74d13	Rewrite StaticRNN with Executor (#5224) ... * Init commit * Make executor use ProgramDescBind * Change Attribute from BlockDesc to BlockDescBind * Since we will get the program desc in RNN, just BlockDesc is not enough. * Add DeviceContext to Executor API * Rewrite RNN * Pass Python * AddBiasOp does not care num_flatten_dims * Stash * Fix MacOS Compile * Pass RNN forward * add python test * refactor test * Make compile pass * add gradopmaker * First draft done * Polish code * add grad op maker and grad infershape * Polish code * Fix backward.cc bug * Fix infershape * Rename function * add backward test * simplify recurrent test * Update * Pass unittest * Add comments & refine test * Add comments * refactor test * Complete Unittest * fix StepScopes enforce * Remove unused unittest * no type error * Update * Make RNN Pass unittest	8 years ago
QI JUN	7f8574c0f5	add sparse support for sum op (#5093) ... * add sparse support for sum op * typo fix * fix gpu build error * fix unittest error * typo fix * infer var type and shape in op_test * follow comments * fix build error * bypass some unittests depend on NetOp	8 years ago
Yan Chunwei	07ea9adec0	feature/dynamic recurrent op forward and backward (#4799)	8 years ago
dongzhihong	4b6b4bc84a	"change GetOrCreate to Var"	8 years ago
dongzhihong	5d6a3eee5b	new_var to get_or_create	8 years ago
qiaolongfei	32f5c9dd93	recurrent_op pass the unit test	8 years ago
qiaolongfei	7163dd0413	revert code	8 years ago
Yu Yang	6196209478	Remove OperatorBase::InferShape ... InferShape in Operator should be performed in OperatorBase::Run. * cond_op, recurrent_op and mnist might be changed in following PR	8 years ago
superjom	6a0c342874	make RecurrentOp's backward work	8 years ago
superjom	68399ab921	Merge remote-tracking branch 'origin/rnn-backward-python' into feature/recurrent_op_backward_fix	8 years ago
superjom	3c29224ef3	remove alias	8 years ago
superjom	0d7e4294fc	remove alias	8 years ago
Luo Tao	020e45f715	follow comments to revert add_two_op to add_op	8 years ago
Yu Yang	f1e5533541	Rename `Net::AddOp` to `Net::AppendOp` ... Fix #3582	8 years ago
superjom	1543eeb4ce	init	8 years ago
Yan Chunwei	0079fa3256	Rnn make stepnet member (#3469) ... * make stepnet member * add pybind support * fix Inputs Outputs * remove unique_ptr	8 years ago
superjom	0d1bc8ab9b	fix res	8 years ago
superjom	e9a92e3ed8	add fc test	8 years ago
superjom	001b62a4c7	finish simple rnn in python	8 years ago
Yan Chunwei	7665bdba13	Rnn forward logic test (#3291) ... * finish forward debug	8 years ago
Yan Chunwei	aee0d3ec5f	RecurrentOp implementation (#2890) ... * add rnn op interfaces * add Run * rename state -> memory * change state -> memory * make compilable * add .cc * init test * add op fake implementation * add CreateStepNet and CreateScopes implementation. * add TODO list * init memory attributes. * add LinkMemories * add PlainNet fake implementation * Use std::shared_ptr<Scope> in the OpRunContext. * add test * disable mutable_data * finist segmentInput function * enable mutable_data with a trick * RNNOp test. * enable LinkMemories with mutable_data * update SegmentInput function with comments * finish ConcatOutput function * reformat inputs and attributes boot_memories * Refine unit test. * Refine unit test. * modify inlinks. * add OpDesc to Net * fix bug and update unit test. * move step scopes from inputs to outputs * fix merge conflict, update SegmentInput function * add RecurrentOpProtoAndCheckerMaker. * clean the codes * Abstract GetStepScopes and GetMaxSeqLen function * refine LinkMemories * Refine code and add some comments. * add backward core * update for develop branch. * add forward core * add forward algorithm * Add RecurrentGradientAlgorithm implenmention. * use CopyFrom and Slice function in RecurrentOp * add unit test for LinkMemories. * fix unit test. * use the latest tensor.h, solve conflict * add maker * move SegmentInput and ConcatOutput to details nameplace * unit test for RecurrentGradientAlgorithm. * apply OperatorBase * apply net operator. * move memorys to attributes * add RecurrentGradientOp * open test unit test in recurrent_network_op_test. * revert some files. * add RecurrentArgument and Link struct to simplify member variable. * rename. * move recurrent_op from framework to operators * add RecurrentGradientOp Init * fix name * fix Link.interal/external name * use namespace operators instead of framework * clean the code * use the latest add_op and mul_op, don't test backward now * Remove ScopePtr and OperatorPtr * add get_net to pybind * add test_recurrent_op.py * add random into gen_tensor * update to develop branch and refine some code. * add some comments.	8 years ago