mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-10-31 03:20:40 +00:00
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
from imaginairy.model_manager import load_tensors
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def dotstrings_to_nested_dictionaries(list_of_dotstrings):
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"""given a list of dotstrings, return a nested dictionary."""
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nested_dict = {}
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for dotstring in list_of_dotstrings:
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keys = dotstring.split(".")
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d = nested_dict
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for key in keys[:-1]:
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if key not in d:
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d[key] = {}
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d = d[key]
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d[keys[-1]] = None
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return nested_dict
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def display_nested_dictionary(nested_dictionary, num_levels_deep=2):
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"""given a nested dictionary, print it out."""
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def _display_nested_dictionary(d, level=0):
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if level >= num_levels_deep:
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return
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for k, v in d.items():
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print(" " * level + k)
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if isinstance(v, dict):
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_display_nested_dictionary(v, level + 1)
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_display_nested_dictionary(nested_dictionary)
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def display_weights_structure(weights_path, num_levels_deep=2):
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"""given a weights path, display the structure of the weights."""
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print(
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f"Displaying weights structure for {weights_path} to {num_levels_deep} levels deep"
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)
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data = load_tensors(weights_path)
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display_nested_dictionary(
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dotstrings_to_nested_dictionaries(data.keys()), num_levels_deep=num_levels_deep
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)
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