wassname/pytorch-lightning
1
0 Fork 0
mirror of https://github.com/wassname/pytorch-lightning.git synced 2026-10-29 13:30:57 +08:00
Code Issues Packages Projects Releases Wiki Activity

scaled batch size

Browse Source
This commit is contained in:
William Falcon committed 2019-07-08 20:05:45 -04:00
1 parent 4f3c9d019b
commit 9ee8f93483
1 file changed
+2 -2
Download Patch File Download Diff File Expand all files Collapse all files
examples/new_project_templates/lightning_module_template.py
+2 -2
View File
@@ -232,11 +232,11 @@ class LightningTemplateModel(LightningModule):
parser.add_argument('--data_root', default=os.path.join(root_dir, 'mnist'), type=str)
# training params (opt)
parser.opt_list('--learning_rate', default=0.001, type=float, options=[0.0001, 0.0005, 0.001, 0.005],
parser.opt_list('--learning_rate', default=0.001*8, type=float, options=[0.0001, 0.0005, 0.001, 0.005],
tunable=False)
parser.opt_list('--optimizer_name', default='adam', type=str, options=['adam'], tunable=False)
# if using 2 nodes with 4 gpus each the batch size here (256) will be 256 / (2*8) = 16 per gpu
parser.opt_list('--batch_size', default=256, type=int, options=[32, 64, 128, 256], tunable=False,
parser.opt_list('--batch_size', default=256*8, type=int, options=[32, 64, 128, 256], tunable=False,
help='batch size will be divided over all the gpus being used across all nodes')
return parser