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⚡️ Speed up function compute_transpose_output_shape by 13% #215

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⚡️ Speed up function compute_transpose_output_shape by 13% #215

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12 changes: 7 additions & 5 deletions keras/src/ops/operation_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -337,16 +337,18 @@ def compute_transpose_output_shape(input_shape, axes):
Returns:
Tuple of ints: The output shape after the `transpose` operation.
"""
input_shape = list(input_shape)
# Convert input_shape to a tuple just once, for indexing and to avoid unnecessary copy
shape = tuple(input_shape)
if axes is None:
return tuple(input_shape[::-1])
return shape[::-1]

if len(axes) != len(input_shape):
if len(axes) != len(shape):
raise ValueError(
"axis must be a list of the same length as the input shape, "
f"expected {len(input_shape)}, but received {len(axes)}."
f"expected {len(shape)}, but received {len(axes)}."
)
return tuple(input_shape[ax] for ax in axes)
# Use tuple comprehension for fast construction
return tuple(shape[ax] for ax in axes)


def compute_take_along_axis_output_shape(input_shape, indices_shape, axis):
Expand Down