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Rope asr aed ngpt #13933
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Rope asr aed ngpt #13933
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Signed-off-by: Nune <ntadevosyan@nvidia.com>
Signed-off-by: Nune <ntadevosyan@nvidia.com>
Signed-off-by: Nune <ntadevosyan@nvidia.com>
| return ans | ||
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| def normalize_matrices(self): | ||
| with torch.no_grad(): |
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why remove torch.no_grad?
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Missed it. Updated
| from collections import OrderedDict | ||
| from dataclasses import dataclass | ||
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| from rotary_embedding_torch import RotaryEmbedding |
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double import
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Removed
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| def justnorm(x, fp32: bool = False, idim: int = -1): | ||
| def justnorm(x, fp32: bool = False, idim: int = -1,eps: float = 1e-10): |
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instead of 1e-10 which might be not representable in low precision types, use torch.finfo(x.dtype).eps https://docs.pytorch.org/docs/stable/type_info.html#torch.torch.finfo
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Done
Signed-off-by: Nune <ntadevosyan@nvidia.com>
Signed-off-by: nune-tadevosyan <152167970+nune-tadevosyan@users.noreply.github.com>
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