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[Bug] Include last attention layer in feature output #4

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[Bug] Include last attention layer in feature output #4

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2 changes: 1 addition & 1 deletion models/fastvit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -828,7 +828,7 @@ def __init__(
# For segmentation and detection, extract intermediate output
if self.fork_feat:
# add a norm layer for each output
self.out_indices = [0, 2, 4, 6]
self.out_indices = [0, 2, 4, 7]
for i_emb, i_layer in enumerate(self.out_indices):
if i_emb == 0 and os.environ.get("FORK_LAST3", None):
"""For RetinaNet, `start_level=1`. The first norm layer will not used.
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