Paddle

Author	SHA1	Message	Date
qiaolongfei	feed94e20f	should load parameter before create parallel_executor	7 years ago
qiaolongfei	e8d24aa144	Inferencer support parallel_executor	7 years ago
daminglu	74ca73b80d	Update trainer api (#10674 )	7 years ago
Qiao Longfei	2a971f3084	Add inferencer infer (#10445 ) * add Inference.infer * optimize code * update no_test_word2vec_new_api.py * update trainer * split check_and_get_place * use inference_program to save inference model in Trainer * update demo * update save_inference_model * clean code	7 years ago
Jeff Wang	bd66eed50a	Trainer save load params (#10386 ) * Load/save the params from the params_path * Switch to use load_persistables and save_persistables * Instaed of setup the executor to run program and scope. Pass the program to the load_persistables	7 years ago
Helin Wang	a66052c6ff	improve trainer API - The trainer and inferencer will load params from disk if param_path argument is not None in their constructor. - Remove params.py, we will expose core.Scope to the user if needed (e.g., for GAN). Currently we will not expose it, unless we clearly know doing so can support GAN. - Add `save_params` to Trainer (a TODO item). - rename "network" to "program"	7 years ago
Helin Wang	b5dd215d46	improve comments	7 years ago
Helin Wang	392a9dd9a2	fix yapf stype check	7 years ago
Helin Wang	6d58d6dc48	add comments	7 years ago
Helin Wang	a2ffbd5326	scaffolding for the new Fluid API	7 years ago