9 Commits (fcd31d616173610ca6daeb96fa0a7eea923701dc)

Author	SHA1	Message	Date
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