无法从'flash_attn.flash_attn_in'导入名称'flash_attn_unpadded_func',可能是因为该函数不存在于该模块中,或者模块路径有误。 在Python中,当你遇到“cannot import name”的错误时,通常意味着以下几种情况之一: 函数或类不存在:你尝试导入的函数或类在指定的模块中不存在。 模块路径错误:你提供的模块路径不正确...
flash_attn_unpadded_kvpacked_func->flash_attn_varlen_kvpacked_func 如果输入在同一批次中具有相同的序列长度,使用以下函数将更加简单和快速: flash_attn_qkvpacked_func(qkv, dropout_p=0.0, softmax_scale=None, causal=False) flash_attn_func(q, k, v, dropout_p=0.0, softmax_scale=None, causal=...
flash_attn_unpadded_kvpacked_func->flash_attn_varlen_kvpacked_func If the inputs have the same sequence lengths in the same batch, it is simpler and faster to use these functions: flash_attn_qkvpacked_func(qkv,dropout_p=0.0,softmax_scale=None,causal=False) flash_attn_func(q,k,v,dro...
.py", line 12, in <module> from flash_attn.flash_attn_interface import flash_attn_varlen_qkvpacked_func as flash_attn_unpadded_qkvpacked_func File "/usr/local/lib/python3.10/dist-packages/flash_attn/__init__.py", line 3, in <module> from flash_attn.flash_attn_interface import ( ...
flash_attn_unpadded_kvpacked_func -> flash_attn_varlen_kvpacked_func If the inputs have the same sequence lengths in the same batch, it is simpler and faster to use these functions: flash_attn_qkvpacked_func(qkv, dropout_p=0.0, softmax_scale=None, causal=False) flash_attn_func(q...
fromflash_attn.flash_attn_interfaceimport\ flash_attn_unpadded_qkvpacked_func except:# v2 fromflash_attn.flash_attn_interfaceimportflash_attn_varlen_qkvpacked_funcasflash_attn_unpadded_qkvpacked_func fromflash_attn.bert_paddingimportpad_input,unpad_input ...
flash_attn_unpadded_kvpacked_func -> flash_attn_varlen_kvpacked_func If the inputs have the same sequence lengths in the same batch, it is simpler and faster to use these functions: flash_attn_qkvpacked_func(qkv, dropout_p=0.0, softmax_scale=None, causal=False) flash_attn_func(q,...
flash_attn_unpadded_kvpacked_func->flash_attn_varlen_kvpacked_func If the inputs have the same sequence lengths in the same batch, it is simpler and faster to use these functions: flash_attn_qkvpacked_func(qkv,dropout_p=0.0,softmax_scale=None,causal=False) ...
# https://github.com/Dao-AILab/flash-attention/blob/v0.2.8/flash_attn/flash_attention.py importtorch importtorch.nnasnn fromeinopsimportrearrange try:# v1 fromflash_attn.flash_attn_interfaceimport\ flash_attn_unpadded_qkvpacked_func
flash_attn_unpadded_kvpacked_func->flash_attn_varlen_kvpacked_func If the inputs have the same sequence lengths in the same batch, it is simpler and faster to use these functions: flash_attn_qkvpacked_func(qkv, dropout_p=0.0, softmax_scale=None, causal=False) ...