ultralytics 8.0.52 reduced TAL CUDA usage and AMP check fix (#1333)
Co-authored-by: CNH5 <74132034+CNH5@users.noreply.github.com> Co-authored-by: Huijae Lee <46982469+ZeroAct@users.noreply.github.com> Co-authored-by: Lorenzo Mammana <lorenzom96@hotmail.it> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Hardik Dava <39372750+hardikdava@users.noreply.github.com> Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
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21 changed files with 132 additions and 147 deletions
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@ -17,7 +17,6 @@ from typing import Union
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import cv2
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import numpy as np
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import pandas as pd
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import torch
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import yaml
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@ -95,8 +94,6 @@ HELP_MSG = \
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# Settings
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torch.set_printoptions(linewidth=320, precision=5, profile='long')
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np.set_printoptions(linewidth=320, formatter={'float_kind': '{:11.5g}'.format}) # format short g, %precision=5
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pd.options.display.max_columns = 10
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pd.options.display.width = 120
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cv2.setNumThreads(0) # prevent OpenCV from multithreading (incompatible with PyTorch DataLoader)
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os.environ['NUMEXPR_MAX_THREADS'] = str(NUM_THREADS) # NumExpr max threads
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os.environ['CUBLAS_WORKSPACE_CONFIG'] = ':4096:8' # for deterministic training
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