71 Commits (d16121533295c04e407c6e25dc0a9aaf3079fe2d)

Author	SHA1	Message	Date
qiaolongfei	e8d24aa144	Inferencer support parallel_executor	8 years ago
yuyang18	f04754886b	Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into feature/trainer_by_pe	8 years ago
typhoonzero	a41a94f2ee	support nccl2 dist train in trainer	8 years ago
yuyang18	791af3a088	Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into feature/trainer_by_pe	8 years ago
Qiao Longfei	1c4bb5c83d	user need to set feed order for Trainer.train and Trainer.test (#10679)	8 years ago
daminglu	74ca73b80d	Update trainer api (#10674)	8 years ago
yuyang18	c4ad0dd084	Add fetch metrics	8 years ago
yuyang18	2a0205a5d9	Draft for train by parallel executor	8 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	8 years ago
fengjiayi	ba57348f8f	trainer.test() (#10453) ... * a draft of trainer.test() * polish trainer.test() * polish trainer.test() * update code format * update * polish code * polish code * polish code * Make trainer.test follow the rule of returning [loss, metric, metric, ..]	8 years ago
Jeff Wang	889c919048	Use _prog_and_scope_guard to switch the scope (#10421)	8 years ago
Yancey	5b06944857	fix trainer import error on ce (#10448) ... * fix trainer import error on ce * fix setup.py.in	8 years ago
Yancey	bb3247e339	fix traner.py import error (#10442)	8 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	8 years ago
Helin Wang	8ee23da846	Fluid new API: dist train without modifying code ... Works with 1 trainer 1 pserver. 2 trainer 1 pserver will stuck at the end of first step, still investigating. The user only need to set envrionment variables to enable distributed training. run pserver: PADDLE_TRAINING_ROLE=PSERVER PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 python no_test_word2vec_new_api.py run trainer: PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_TRAINER_ID=0 python no_test_word2vec_new_api.py	8 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"	8 years ago
Yu Yang	1bb579a3f5	A naive trainer implementation	8 years ago
Helin Wang	b5dd215d46	improve comments	8 years ago
Thuan Nguyen	10cb9424fd	remove enum reference from trainer	8 years ago
Helin Wang	6d58d6dc48	add comments	8 years ago
Helin Wang	a2ffbd5326	scaffolding for the new Fluid API	8 years ago