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- from typing import Any, Callable, Dict, Optional
- from torch.utils._pytree import Context, TreeSpec
- def reorder_kwargs(user_kwargs: Dict[str, Any], spec: TreeSpec) -> Dict[str, Any]:
- """Reorder user-provided kwargs to match the order in `spec`. `spec` is
- expected to be the in_spec of an exported program, i.e. the spec that
- results from flattening `(args, kwargs)`.
- We need this to provide consistent input ordering, such so that users can
- pass in foo(a=a, b=b) OR foo(b=b, a=a) and receive the same result.
- """
- # Make sure that the spec is actually shaped like (args, kwargs)
- assert spec.type is tuple
- assert spec.num_children == 2
- kwargs_spec = spec.children_specs[1]
- assert kwargs_spec.type is dict
- if set(user_kwargs) != set(kwargs_spec.context):
- raise ValueError(
- f"kwarg key mismatch: "
- f"Got {list(user_kwargs)} but expected {kwargs_spec.context}"
- )
- reordered_kwargs = {}
- for kw in kwargs_spec.context:
- reordered_kwargs[kw] = user_kwargs[kw]
- return reordered_kwargs
- def is_equivalent(
- spec1: TreeSpec,
- spec2: TreeSpec,
- equivalence_fn: Callable[[Optional[type], Context, Optional[type], Context], bool],
- ) -> bool:
- """Customizable equivalence check for two TreeSpecs.
- Arguments:
- spec1: The first TreeSpec to compare
- spec2: The second TreeSpec to compare
- equivalence_fn: A function to determine the equivalence of two
- TreeSpecs by examining their types and contexts. It will be called like:
- equivalence_fn(spec1.type, spec1.context, spec2.type, spec2.context)
- This function will be applied recursively to all children.
- Returns:
- True if the two TreeSpecs are equivalent, False otherwise.
- """
- if not equivalence_fn(spec1.type, spec1.context, spec2.type, spec2.context):
- return False
- # Recurse on children
- if len(spec1.children_specs) != len(spec2.children_specs):
- return False
- for child_spec1, child_spec2 in zip(spec1.children_specs, spec2.children_specs):
- if not is_equivalent(child_spec1, child_spec2, equivalence_fn):
- return False
- return True
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