release infer and demo
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import torch
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import functools
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def get_default_device():
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if torch.cuda.is_available():
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return torch.device("cuda")
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elif torch.backends.mps.is_built() and torch.backends.mps.is_available():
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return torch.device("mps")
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else:
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return torch.device("cpu")
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def safe_autocast_decorator(enabled=True):
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def decorator(func):
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@functools.wraps(func)
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def wrapper(*args, **kwargs):
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device = get_default_device()
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if device.type in ["cuda", "cpu"]:
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with torch.amp.autocast(device_type=device.type, enabled=enabled):
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return func(*args, **kwargs)
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else:
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return func(*args, **kwargs)
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return wrapper
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return decorator
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import contextlib
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@contextlib.contextmanager
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def safe_autocast(enabled=True):
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device = get_default_device()
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if device.type in ["cuda", "cpu"]:
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with torch.amp.autocast(device_type=device.type, enabled=enabled):
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yield
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else:
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yield # MPS or other unsupported backends skip autocast
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