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https://github.com/sbrl/research-rainfallradar
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log start time, end time, and elapsed
just in case...!
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2 changed files with 12 additions and 0 deletions
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@ -19,6 +19,9 @@ import tensorflow as tf
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from lib.dataset.dataset_mono import dataset_mono
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from lib.dataset.dataset_mono import dataset_mono
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from lib.ai.components.LossCrossEntropyDice import LossCrossEntropyDice
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from lib.ai.components.LossCrossEntropyDice import LossCrossEntropyDice
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time_start = datetime.now()
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logger.info(f"Starting at {str(datetime.now().isoformat())}")
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IMAGE_SIZE = int(os.environ["IMAGE_SIZE"]) if "IMAGE_SIZE" in os.environ else 128 # was 512; 128 is the highest power of 2 that fits the data
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IMAGE_SIZE = int(os.environ["IMAGE_SIZE"]) if "IMAGE_SIZE" in os.environ else 128 # was 512; 128 is the highest power of 2 that fits the data
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BATCH_SIZE = int(os.environ["BATCH_SIZE"]) if "BATCH_SIZE" in os.environ else 64
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BATCH_SIZE = int(os.environ["BATCH_SIZE"]) if "BATCH_SIZE" in os.environ else 64
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NUM_CLASSES = 2
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NUM_CLASSES = 2
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@ -317,3 +320,5 @@ plot_predictions(
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colormap,
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colormap,
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model=model
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model=model
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)
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)
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logger.info(f"Complete at {str(datetime.now().isoformat())}, elapsed {str((datetime.now() - time_start).total_seconds())} seconds")
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@ -2,6 +2,7 @@
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import importlib
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import importlib
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import sys
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import sys
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from datetime import datetime
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from loguru import logger
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from loguru import logger
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@ -15,9 +16,15 @@ def main():
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if args == None:
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if args == None:
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return
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return
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time_start = datetime.utcnow()
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logger.info(f"Time: Starting subcommand {subcommand} at {str(datetime.utcnow().isoformat())}")
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imported_module = importlib.import_module(f"subcommands.{subcommand}")
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imported_module = importlib.import_module(f"subcommands.{subcommand}")
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imported_module.run(args)
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imported_module.run(args)
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logger.info(f"*** complete in {str((datetime.now() - time_start).total_seconds())} seconds ***")
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if __name__ == "__main__":
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if __name__ == "__main__":
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main()
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main()
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