下面是apply_rotary_pos_emb函数的实现代码: python import torch import torch.nn.functional as F def apply_rotary_pos_emb(query_layer, rotary_pos_emb): """ Apply rotary position embedding to the query layer. Args: - query_layer (torch.Tensor): The query layer with shape [seq_len, batch_...
问题:网络推理失败,TypeError: For primitive[ApplyRotaryPosEmb], the input type must be same. 根因:使用bf16推理,导致类型不匹配 Fix Solution 单独为推理配置推理yaml Self-test Report & DT Review 是否需要补充ST/UT:否 原因:research下模型不涉及 wuzhiyuan1996 10个月前 glm2_6b_ptuning的结果 wuzhi...
import torch from torch import einsum, nn __all__ = ['RotaryEmbedding', 'apply_rotary_pos_emb'] class RotaryEmbedding(nn.Module): def __init__(self, dim): super().__init__()Loading Oops, something went wrong. Retry 0 comments on commit 19a9b78 Please sign in to comment. Foot...