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⚡️ Speed up function compute_pooling_output_shape by 10% #213

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⚡️ Speed up function compute_pooling_output_shape by 10% #213

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3 changes: 2 additions & 1 deletion keras/src/ops/operation_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,6 @@ def compute_pooling_output_shape(
"""
strides = pool_size if strides is None else strides
input_shape_origin = list(input_shape)
input_shape = np.array(input_shape)
if data_format == "channels_last":
spatial_shape = input_shape[1:-1]
else:
Expand All @@ -129,6 +128,8 @@ def compute_pooling_output_shape(
spatial_shape[i] = -1
none_dims.append(i)
pool_size = np.array(pool_size)
spatial_shape = np.array(spatial_shape)
strides = np.array(strides)
if padding == "valid":
output_spatial_shape = (
np.floor((spatial_shape - pool_size) / strides) + 1
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