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Remove offline training, refactor train.py and logging/checkpointing (#670)
Co-authored-by: Remi <remi.cadene@huggingface.co>
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@@ -86,8 +86,7 @@ def main():
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while not done:
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for batch in dataloader:
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batch = {k: v.to(device, non_blocking=True) for k, v in batch.items()}
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output_dict = policy.forward(batch)
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loss = output_dict["loss"]
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loss, _ = policy.forward(batch)
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loss.backward()
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optimizer.step()
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optimizer.zero_grad()
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