54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
import logging
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import datetime
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import os
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import sys
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import coloredlogs
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from classifier import test
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device = 'cpu'
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dataset = 'ped1'
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job_uuid = '86f47b9c-d0ca-49a8-beb6-84373ea9e880'
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epoch = 586
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val_loss = 0.001069
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time_length = 8
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job_folder = os.path.join('./share/clean/{}/jobs'.format(dataset), job_uuid)
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log_path = os.path.join(job_folder, 'logs')
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os.makedirs(log_path, exist_ok=True)
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logging.basicConfig(filename=os.path.join(log_path, "test-{}.log".format(datetime.datetime.now().strftime("%Y%m%d-%H%M%S"))),
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level=logging.DEBUG,
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format="%(asctime)s [%(levelname)s] %(message)s")
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coloredlogs.install()
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logger = logging.getLogger()
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def handle_exception(exc_type, exc_value, exc_traceback):
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if issubclass(exc_type, KeyboardInterrupt):
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logger.warning("Ctrl + C triggered by user, testing ended prematurely")
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sys.__excepthook__(exc_type, exc_value, exc_traceback)
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return
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logger.critical("Uncaught exception", exc_info=(exc_type, exc_value, exc_traceback))
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sys.excepthook = handle_exception
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if device == 'cpu':
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os.environ['CUDA_VISIBLE_DEVICES'] = ''
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logger.debug("Using CPU only")
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elif device == 'gpu0':
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os.environ['CUDA_VISIBLE_DEVICES'] = '0'
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logger.debug("Using GPU 0")
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elif device == 'gpu1':
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os.environ['CUDA_VISIBLE_DEVICES'] = '1'
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logger.debug("Using GPU 1")
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elif device == 'gpu':
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os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
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logger.debug("Using GPU 0 and 1")
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test(logger=logger, dataset=dataset, t=time_length, job_uuid=job_uuid, epoch=epoch, val_loss=val_loss,
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visualize_score=True, visualize_frame=False)
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logger.info("Job {} ({}) has finished testing.".format(job_uuid, dataset))
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