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Fix bug
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@ -784,6 +784,7 @@ def run(rank, world_size, args):
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# The `epoch` variable in the lambda expression binds to the value below
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# in `for epoch in range(params.start_epoch, params.num_epochs):`.
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epoch = 0
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scheduler = torch.optim.lr_scheduler.LambdaLR(
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optimizer,
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lambda step: (((step + params.lr_begin_steps) / params.lr_begin_steps) ** -0.5 *
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