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ultralytics 8.3.64 new torchvision.ops access in model YAMLs (#18680)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Mohammed Yasin 2025-01-20 06:44:56 +08:00 • committed by GitHub
parent a8e2464a9c
commit 673b43ce17
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4 changed files with 11 additions and 5 deletions
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8
ultralytics/nn/tasks.py
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@ -955,7 +955,13 @@ def parse_model(d, ch, verbose=True): # model_dict, input_channels(3)
ch = [ch]
layers, save, c2 = [], [], ch[-1] # layers, savelist, ch out
for i, (f, n, m, args) in enumerate(d["backbone"] + d["head"]): # from, number, module, args
m = getattr(torch.nn, m[3:]) if "nn." in m else globals()[m] # get module
m = (
getattr(torch.nn, m[3:])
if "nn." in m
else getattr(__import__("torchvision").ops, m[16:])
if "torchvision.ops." in m
else globals()[m]
) # get module
for j, a in enumerate(args):
if isinstance(a, str):
with contextlib.suppress(ValueError):