41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
import os
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from typing import Any, Dict
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import torch
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from .utils import get_model_full_path
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class PtLoadModel:
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"""
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A wrapper class for saving a PyTorch model.
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category: PyTorch wrapper - Training
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"""
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@classmethod
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def INPUT_TYPES(cls) -> Dict[str, Any]:
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"""
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Defines the input types for the function.
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Returns:
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Dict[str, Any]: A dictionary specifying required input types.
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"""
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return {
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"required": {
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"model": ("PTMODEL", {}),
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"model_path": ("STRING", {"default": "model.pkl"})
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}
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}
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RETURN_NAMES: tuple = ("model",)
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RETURN_TYPES: tuple = ("PTMODEL",)
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FUNCTION: str = "f"
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CATEGORY: str = "Data Analysis"
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@classmethod
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def IS_CHANGED(cls, **kw):
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return float("NaN")
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def f(self, model:Any, model_path: str):
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model_full_path = get_model_full_path(model_path)
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sd = torch.load(model_full_path, weights_only=True)
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model.load_state_dict(sd)
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return (model,) |