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[ConvNets/PyT] Fixed distributed checkpoint loading #693

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Merged
nv-kkudrynski merged 1 commit into from
Sep 18, 2020
Merged

[ConvNets/PyT] Fixed distributed checkpoint loading #693

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6 changes: 5 additions & 1 deletion PyTorch/Classification/ConvNets/classify.py
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Original file line number Diff line number Diff line change
Expand Up @@ -63,12 +63,16 @@ def main(args):

if args.weights is not None:
weights = torch.load(args.weights)

#Temporary fix to allow NGC checkpoint loading
weights = {k.replace("module.", ""): v for k, v in weights.items()}

model.load_state_dict(weights)

model = model.cuda()

if args.precision in ["AMP", "FP16"]:
model = network_to_half(model)
model = model.half()


model.eval()
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4 changes: 4 additions & 0 deletions PyTorch/Classification/ConvNets/main.py
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Expand Up @@ -363,6 +363,10 @@ def _worker_init_fn(id):
)
)
pretrained_weights = torch.load(args.pretrained_weights)

#Temporary fix to allow NGC checkpoint loading

pretrained_weights = {k.replace("module.", ""): v for k, v in pretrained_weights.items()}
else:
print("=> no pretrained weights found at '{}'".format(args.resume))

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