7 Commits (316765839de9e63aa65617cf3396f2b2f70b7cc9)

Author	SHA1	Message	Date
Wu Yi	26200f2e42	[1.1] [project] train imagenet using large batch size (#13766) ... * fix nccl2 lars dist support * put lars in momentum op * add tests lars * fix ci * fix cpu kernel * soft warning * remove lars in test_recognize_digits.py * move to another op * add file * update api.spec test=develop * update test=develop * fix api.spec test=develop * wip * wip, finish grad merge ops * wip, finish graph build * wip test running * work on 1 gpu * workable version * update * fix tests * fuse broadcast op * fix compile failed * refine * add batch merge test mnist * fix CI test=develop * fix build * use independent bn params for batch merge test=develop * update api.spec * follow comments and for test * wip * refine tests test=develop * follow comments test=develop * remove startup bn modify test=develop * follow comments test=develop * fix merge test=develop	6 years ago
Xin Pan	88ae3f169d	further clean	7 years ago
Yancey1989	5ce1a960a5	move bcast op into pass	7 years ago
Wu Yi	f90c7865f0	Benchmark tool for imgnet (#12305) ... * support test using executor without reader * run imgnet * update fluid benchmark * wip * update * update all models * support pyreader * update * clean up * make profile batches contollable * update API.spec * update scripts * clean dockerfile * update * clean comments * add scope argument docstring * use num_trainers to determine nccl init comms	7 years ago
Luo Tao	2547c4858c	add no_random args in fluid_benchmark.py	7 years ago
pzelazko-intel	9a15c92317	bnorm+relu fuse for mkldnn (inference) (#11434) ... * bnorm+relu fuse for mkldnn * separate fuse_relu function * bug fix * proper while range in inference_transpiler * description fix * review fix * review fix * unit test for fwd batch norm+relu MKLDNN fuse	7 years ago
Qiyang Min	1cfd3cb13b	Add some dist-training robust cases into fluid benchmark test (#11207) ... * 1. add weight decay feature into fluid benchmark test 2. add learning rate decay feature into fluid benchmark test 3. add L1&L2 regularization feature into fluid benchmark test 4. add error clipping feature into fluid benchmark test 5. add gradient clipping feature into fluid benchmark test * Add some document to README.md under benchmark/fluid/ repo * Add model_base.py * Fix bugs in test_listen_and_serv_op * 1. remove args out of fluid_benchmark.py 2. remove lr_decay, regularization, clipping out of fluid_benchmark.py * add async_mode description to doc and remove the clipping description out * for restart build * to restart build * remove optimization args from args.py * 1. remove optimization from models 2. fix bug in test_listen_and_serv_op * change the name retry_times to left_time * change retry_times to the pserver start left time	7 years ago