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paired_mrus_brain.demo_train   A

Complexity

Total Complexity 0

Size/Duplication

Total Lines 54
Duplicated Lines 0 %

Importance

Changes 0
Metric Value
wmc 0
eloc 32
dl 0
loc 54
rs 10
c 0
b 0
f 0
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import argparse
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from datetime import datetime
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from deepreg.train import train
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name = "paired_mrus_brain"
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# parser is used to simplify testing
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# please run the script with --no-test flag to ensure non-testing mode
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# for instance:
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# python script.py --no-test
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parser = argparse.ArgumentParser()
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parser.add_argument(
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    "--test",
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    help="Execute the script for test purpose",
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    dest="test",
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    action="store_true",
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)
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parser.add_argument(
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    "--no-test",
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    help="Execute the script for non-test purpose",
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    dest="test",
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    action="store_false",
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)
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parser.set_defaults(test=True)
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args = parser.parse_args()
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print(
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    "\n\n\n\n\n"
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    "=======================================================\n"
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    "The training can also be launched using the following command.\n"
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    "deepreg_train --gpu '0' "
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    f"--config_path demos/{name}/{name}.yaml "
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    f"--log_root demos/{name} "
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    "--log_dir logs_train\n"
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    "=======================================================\n"
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    "\n\n\n\n\n"
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)
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log_root = f"demos/{name}"
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log_dir = "logs_train/" + datetime.now().strftime("%Y%m%d-%H%M%S")
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config_path = [f"demos/{name}/{name}.yaml"]
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if args.test:
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    config_path.append("config/test/demo_paired.yaml")
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train(
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    gpu="0",
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    config_path=config_path,
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    gpu_allow_growth=True,
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    ckpt_path="",
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    log_root=log_root,
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    log_dir=log_dir,
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)
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