: After installation, verify that the patch has been successfully applied. This might involve checking the software version in the "About" section or running a diagnostic test.
| Issue | Before patch | After patch | |-------|--------------|--------------| | Rotary cache | Recomputes every call, wastes memory | Only recomputes when seqlen changes | | Mask expansion | Only supports 2D masks | Supports 2D/3D/4D, correct broadcast | | Cross-attention | Mask shape mismatch | Proper (batch,1,q_len,k_len) | patch mpt
def patch_attention_mask( attention_mask: torch.Tensor, query_length: int, key_length: int, dtype: torch.dtype, ) -> torch.Tensor: """ Expand mask from (batch, 1, key_len) or (batch, seq_len) to (batch, 1, query_len, key_len) for MPT attention. """ if attention_mask is None: return None : After installation, verify that the patch has
In the medical field, a refers to a revolutionary drug delivery system known as a Multipurpose Prevention Technology . These patches are primarily designed to address women's health by combining two or more clinical needs into a single, discreet application. """ if attention_mask is None: return None In
# If already 4D, assume correct if attention_mask.dim() == 4: return attention_mask.to(dtype)
Known to drop executable files into temporary directories and write unauthorized API strings.