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Add configurable data directory for MNIST example #1417

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Add configurable data directory for MNIST example #1417

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1 change: 1 addition & 0 deletions mnist/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -3,5 +3,6 @@
```bash
pip install -r requirements.txt
python main.py
python main.py --data-dir /tmp/mnist-data
# CUDA_VISIBLE_DEVICES=2 python main.py # to specify GPU id to ex. 2
```
6 changes: 4 additions & 2 deletions mnist/main.py
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Expand Up @@ -90,6 +90,8 @@ def main():
help='random seed (default: 1)')
parser.add_argument('--log-interval', type=int, default=10, metavar='N',
help='how many batches to wait before logging training status')
parser.add_argument('--data-dir', type=str, default='../data',
help='directory for storing input data (default: ../data)')
parser.add_argument('--save-model', action='store_true',
help='For Saving the current Model')
args = parser.parse_args()
Expand Down Expand Up @@ -117,9 +119,9 @@ def main():
transforms.ToTensor(),
transforms.Normalize((0.1307,), (0.3081,))
])
dataset1 = datasets.MNIST('../data', train=True, download=True,
dataset1 = datasets.MNIST(args.data_dir, train=True, download=True,
transform=transform)
dataset2 = datasets.MNIST('../data', train=False,
dataset2 = datasets.MNIST(args.data_dir, train=False,
transform=transform)
train_loader = torch.utils.data.DataLoader(dataset1,**train_kwargs)
test_loader = torch.utils.data.DataLoader(dataset2, **test_kwargs)
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