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Update log_weights.py
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@ -74,7 +74,7 @@ def log_ebc_norms(
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: min(sample_size, emb_weight_tensor.shape[0])
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]
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# WARNING: .cpu() transfer executes malloc that may be the cause of memory leaks
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# Change sample_size if the user observe frequent OOM errors or remove weight logging.
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# Change sample_size if user observe frequent OOM errors or remove weight logging.
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norms = emb_weight_tensor[sample_mask].cpu().norm(dim=1).to(torch.float32)
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logging.info(f"Norm shape before reduction: {norms.shape}", rank=-1)
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norms = norms.mean().to(torch.device(f"cuda:{dist.get_rank()}"))
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