26 lines
684 B
Python
26 lines
684 B
Python
from __future__ import annotations
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import torch.nn
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import torch
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def get_param(model) -> torch.nn.Parameter:
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"""
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Find the first parameter in a model or module.
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"""
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if hasattr(model, "model") and hasattr(model.model, "parameters"):
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# Unpeel a model descriptor to get at the actual Torch module.
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model = model.model
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for param in model.parameters():
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return param
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raise ValueError(f"No parameters found in model {model!r}")
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def float64(t: torch.Tensor):
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"""return torch.float64 if device is not mps or xpu, else return torch.float32"""
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if t.device.type in ['mps', 'xpu']:
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return torch.float32
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return torch.float64
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