52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
import ast
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import importlib
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import inspect
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import textwrap
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class ReturnNameVisitor(ast.NodeVisitor):
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"""Thanks to ChatGPT for pairing."""
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def __init__(self):
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self.return_names = []
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def visit_Return(self, node):
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# Check if the return value is a tuple.
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if isinstance(node.value, ast.Tuple):
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for elt in node.value.elts:
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if isinstance(elt, ast.Name):
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self.return_names.append(elt.id)
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else:
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try:
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self.return_names.append(ast.unparse(elt))
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except Exception:
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self.return_names.append(str(elt))
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else:
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if isinstance(node.value, ast.Name):
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self.return_names.append(node.value.id)
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else:
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try:
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self.return_names.append(ast.unparse(node.value))
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except Exception:
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self.return_names.append(str(node.value))
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self.generic_visit(node)
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def _determine_parent_module(self, cls):
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from diffusers import DiffusionPipeline
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from diffusers.models.modeling_utils import ModelMixin
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if issubclass(cls, DiffusionPipeline):
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return "pipelines"
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elif issubclass(cls, ModelMixin):
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return "models"
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else:
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raise NotImplementedError
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def get_ast_tree(self, cls, attribute_name="encode_prompt"):
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parent_module_name = self._determine_parent_module(cls)
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main_module = importlib.import_module(f"diffusers.{parent_module_name}")
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current_cls_module = getattr(main_module, cls.__name__)
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source_code = inspect.getsource(getattr(current_cls_module, attribute_name))
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source_code = textwrap.dedent(source_code)
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tree = ast.parse(source_code)
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return tree
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