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[testing] Use tuples for numpy indexing #14476

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Apr 4, 2023
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[testing] Use tuples for numpy indexing #14476

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6 changes: 3 additions & 3 deletions python/tvm/topi/testing/poolnd_python.py
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Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@ def get_slice(
kernel: Tuple[int],
strides: Tuple[int],
dilation: Tuple[int],
) -> List[slice]:
) -> Tuple[slice]:
"""
Programmatically create a slice object of the right dimensions for pad_np.

Expand All @@ -100,7 +100,7 @@ def get_slice(
# Add back batch and channel dimensions
slices = [slice(None), slice(None)] + slices

return slices
return tuple(slices)


def pad_tensor(
Expand Down Expand Up @@ -189,7 +189,7 @@ def poolnd_python(
dilation=dilation,
)

output_slice = [slice(None), slice(None)] + list(coordinate)
output_slice = (slice(None), slice(None)) + tuple(coordinate)
reduction_axis = tuple(range(2, len(np_data.shape)))
if pool_type == "avg":
count_non_padded = (
Expand Down