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Update config.py
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config.py
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"""
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Basic configuration and default values used in the MAPSS computations.
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"""
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import os
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import torch
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import warnings
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warnings.filterwarnings(
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"ignore",
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category=UserWarning,
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message=r"^expandable_segments not supported on this platform"
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)
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SR = 16_000
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RESULTS_ROOT = "results"
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BATCH_SIZE = 2
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ENERGY_WIN_MS = 20
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ENERGY_HOP_MS = 20
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SILENCE_RATIO = 0.1
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EPS = 1e-4
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COV_TOL = 1e-6
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DEFAULT_LAYER = 2
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DEFAULT_ADD_CI = True
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DEFAULT_DELTA_CI = 0.05
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DEFAULT_ALPHA = 1.0
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os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "max_split_size_mb:128,expandable_segments:True,garbage_collection_threshold:0.6"
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os.environ["CUDA_LAUNCH_BLOCKING"] = "0"
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torch.backends.cudnn.benchmark = True
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torch.backends.cudnn.deterministic = False
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torch.backends.cudnn.enabled = True
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if torch.cuda.is_available():
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torch.cuda.set_per_process_memory_fraction(0.8)
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"""
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Basic configuration and default values used in the MAPSS computations.
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"""
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import os
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import torch
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import warnings
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warnings.filterwarnings(
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"ignore",
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category=UserWarning,
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message=r"^expandable_segments not supported on this platform"
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)
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SR = 16_000
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RESULTS_ROOT = "results"
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BATCH_SIZE = 2
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ENERGY_WIN_MS = 20
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ENERGY_HOP_MS = 20
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SILENCE_RATIO = 0.1
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EPS = 1e-4
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COV_TOL = 1e-6
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DEFAULT_LAYER = 2
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DEFAULT_ADD_CI = True
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DEFAULT_DELTA_CI = 0.05
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DEFAULT_ALPHA = 1.0
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os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "max_split_size_mb:128,expandable_segments:True,garbage_collection_threshold:0.6"
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os.environ["CUDA_LAUNCH_BLOCKING"] = "0"
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torch.backends.cudnn.benchmark = True
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torch.backends.cudnn.deterministic = False
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torch.backends.cudnn.enabled = True
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