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examples/pspnet/train_multi.py

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@@ -207,7 +207,7 @@ def main():
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n_class, pretrained_model='imagenet',
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input_size=dataset_cfg['input_size'])
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train_chain = TrainChain(model)
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create_mnbn_model(model, comm)
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model = create_mnbn_model(model, comm)
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if device >= 0:
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chainer.cuda.get_device_from_id(device).use()
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train_chain.to_gpu()

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