10000 Include batch_size as an argument, instead of sample_rate by ashkan-software · Pull Request #473 · pytorch/opacus · GitHub
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Include batch_size as an argument, instead of sample_rate #473

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Include batch_size as an argument, instead of sample_rate #473

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2 changes: 1 addition & 1 deletion .circleci/config.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -160,7 +160,7 @@ commands:
echo "Using $(python -V) ($(which python))"
echo "Using $(pip -V) ($(which pip))"
pip install tensorboard
python examples/cifar10.py --lr 0.1 --sigma 1.5 -c 10 --sample-rate 0.04 --epochs 10 --data-root runs/cifar10/data --log-dir runs/cifar10/logs --device <<parameters.device>>
python examples/cifar10.py --lr 0.1 --sigma 1.5 -c 10 --batch-size 2000 --epochs 10 --data-root runs/cifar10/data --log-dir runs/cifar10/logs --device <<parameters.device>>
python -c "import torch; model = torch.load('model_best.pth.tar'); exit(0) if (model['best_acc1']>0.4 and model['best_acc1']<0.49) else exit(1)"
when: always
- store_test_results:
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10 changes: 5 additions & 5 deletions examples/cifar10.py
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Expand Up @@ -262,7 +262,7 @@ def main():

train_loader = torch.utils.data.DataLoader(
train_dataset,
batch_size=int(args.sample_rate * len(train_dataset)),
batch_size=args.batch_size,
generator=generator,
num_workers=args.workers,
pin_memory=True,
Expand Down Expand Up @@ -421,11 +421,11 @@ def parse_args():
"using Data Parallel or Distributed Data Parallel",
)
parser.add_argument(
"--sample-rate",
default=0.04,
"--batch-size",
default=2000,
type=float,
metavar="SR",
help="sample rate used for batch construction (default: 0.005)",
metavar="N",
help="train bacth size",
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may be change this to approximate batch size in the help string, since the batch size will not necessarily be 2K.

)
parser.add_argument(
"--lr",
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