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Make FactoredMatrix compatible with tensor-like arguments #599

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Make FactoredMatrix compatible with tensor-like arguments #599

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2105225
Make `FactoredMatrix` compatible with tensor-like arguments
JasonGross May 17, 2024
7c08ab2
Merge branch 'dev' into patch-1
bryce13950 May 18, 2024
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12 changes: 6 additions & 6 deletions transformer_lens/FactoredMatrix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,9 @@ def __matmul__(
"FactoredMatrix",
],
) -> Union["FactoredMatrix", Float[torch.Tensor, "... ldim"]]:
if isinstance(other, torch.Tensor):
if isinstance(other, FactoredMatrix):
return (self @ other.A) @ other.B
else:
if other.ndim < 2:
# It's a vector, so we collapse the factorisation and just return a vector
# Squeezing/Unsqueezing is to preserve broadcasting working nicely
Expand All @@ -79,8 +81,6 @@ def __matmul__(
return FactoredMatrix(self.A, self.B @ other)
else:
return FactoredMatrix(self.AB, other)
elif isinstance(other, FactoredMatrix):
return (self @ other.A) @ other.B

@overload
def __rmatmul__( # type: ignore
Expand All @@ -107,7 +107,9 @@ def __rmatmul__( # type: ignore
"FactoredMatrix",
],
) -> Union["FactoredMatrix", Float[torch.Tensor, "... rdim"]]:
if isinstance(other, torch.Tensor):
if isinstance(other, FactoredMatrix):
return other.A @ (other.B @ self)
else:
assert (
other.size(-1) == self.ldim
), f"Left matrix must match on inner dimension, shapes were self: {self.shape}, other:{other.shape}"
Expand All @@ -118,8 +120,6 @@ def __rmatmul__( # type: ignore
return FactoredMatrix(other @ self.A, self.B)
else:
return FactoredMatrix(other, self.AB)
elif isinstance(other, FactoredMatrix):
return other.A @ (other.B @ self)

def __mul__(self, scalar: Union[int, float, torch.Tensor]) -> FactoredMatrix:
"""
Expand Down