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scaled batch size

This commit is contained in:
William Falcon 2019-07-08 20:05:45 -04:00
parent 4f3c9d019b
commit 9ee8f93483
1 changed files with 2 additions and 2 deletions
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4
examples/new_project_templates/lightning_module_template.py
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@ -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