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NANWOOD
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Jul 25, 2024
| """ | ||
| # Perform RMSNorm normalization. | ||
| output = self._norm(x.float()).type_as(x) | ||
| # Multiply the result by the learned scaling factor to complete the RMSNorm. |
NANWOOD
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| # This converts each grouped 2D tensor d = [d1, d2]^T into a complex number d1 + i d2. | ||
| # Use complex multiplication with the corresponding complex frequency e^{iθ}, then convert back | ||
| # to real numbers, | ||
| # achieving R(θ)d, which rotates each grouped 2D tensor by the corresponding angle, thereby implementing |
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Check the usage of "achieving".
NANWOOD
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| def repeat_kv(x: torch.Tensor, n_rep: int) -> torch.Tensor: | ||
| """torch.repeat_interleave(x, dim=2, repeats=n_rep).""" | ||
| """在 n_kv_heads 维度上重复扩展 key 或 query 张量. |
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