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Set TF_CPP_MIN_LOG_LEVEL=3 for reduced verbosity (#12670)

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inisis 2024-05-14 21:45:33 +08:00 • committed by GitHub
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ultralytics/utils/__init__.py
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@ -108,7 +108,7 @@ np.set_printoptions(linewidth=320, formatter={"float_kind": "{:11.5g}".format})
cv2.setNumThreads(0) # prevent OpenCV from multithreading (incompatible with PyTorch DataLoader) cv2.setNumThreads(0) # prevent OpenCV from multithreading (incompatible with PyTorch DataLoader)
os.environ["NUMEXPR_MAX_THREADS"] = str(NUM_THREADS) # NumExpr max threads os.environ["NUMEXPR_MAX_THREADS"] = str(NUM_THREADS) # NumExpr max threads
os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8" # for deterministic training os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8" # for deterministic training
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" # suppress verbose TF compiler warnings in Colab os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" # suppress verbose TF compiler warnings in Colab
os.environ["TORCH_CPP_LOG_LEVEL"] = "ERROR" # suppress "NNPACK.cpp could not initialize NNPACK" warnings os.environ["TORCH_CPP_LOG_LEVEL"] = "ERROR" # suppress "NNPACK.cpp could not initialize NNPACK" warnings
os.environ["KINETO_LOG_LEVEL"] = "5" # suppress verbose PyTorch profiler output when computing FLOPs os.environ["KINETO_LOG_LEVEL"] = "5" # suppress verbose PyTorch profiler output when computing FLOPs