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args.py
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args.py
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import argparse
def parse_args():
parser = argparse.ArgumentParser(description="PyTorch MNIST Example")
parser.add_argument(
"--train",
action="store_true",
help="Run training",
)
parser.add_argument(
"--mixture",
default=1,
type=int,
help="Number of mixture components for an EinetMixture model (if 1 then only an Einet model is used).",
)
parser.add_argument(
"--batch-size",
type=int,
default=64,
metavar="N",
help="input batch size for training (default: 64)",
)
parser.add_argument(
"--n-bits",
type=int,
default=8,
metavar="N",
help="number of bits for each pixel (default: 8)",
)
parser.add_argument(
"--epochs",
type=int,
default=14,
metavar="N",
help="number of epochs to train (default: 14)",
)
parser.add_argument(
"--lr", type=float, default=1.0, metavar="LR", help="learning rate (default: 1.0)"
)
parser.add_argument(
"--temperature-leaves",
type=float,
default=1.0,
help="Temperature for leave variance during sampling.",
)
parser.add_argument(
"--temperature-sums",
type=float,
default=1.0,
help="Temperature for sum weights during sampling.",
)
parser.add_argument(
"--dry-run", action="store_true", default=False, help="quickly check a single pass"
)
parser.add_argument("--seed", type=int, default=1, metavar="S", 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(
"--save-model",
action="store_true",
default=False,
help="For Saving the current Model",
)
parser.add_argument(
"--classification",
action="store_true",
default=False,
help="Flag for learning a discriminative task of classifying MNIST digits.",
)
parser.add_argument(
"--device",
default="cuda",
help="Device flag. Can be either 'cpu' or 'cuda'.",
)
parser.add_argument(
"--debug",
action="store_true",
help="Debug flag (less data, fewer iterations)",
)
parser.add_argument(
"--dataset",
default="mnist",
help="Dataset",
)
parser.add_argument("-I", type=int, default=10)
parser.add_argument("-S", type=int, default=10)
parser.add_argument("-D", type=int, default=3)
parser.add_argument("-R", type=int, default=1)
return parser.parse_args()