modeling_llama import repeat_kv except ImportError: print("Please upgrade `transformers`.") from llmtuner.extras.packages import is_flash_attn2_available if is_flash_attn2_available(): from flash_attn import flash_attn_func, flash_attn_varlen_func # type: ignore from flash_attn.bert_padding...
assert self.head_dim in [16, 32, 64], "Only support head_dim == 16, 32, or 64" self.inner_attn = FlashAttention( attention_dropout=attention_dropout, **factory_kwargs ) self.rearrange = rearrange def forward(self, qkv, attn_mask=None, key_padding_mask=None, need_weights=False): ...
当你在使用pip安装Python包时遇到“could not find a version that satisfies the requirement flash_attn (from versions: )”的错误,这通常意味着pip无法在PyPI(Python Package Index)或其他你正在使用的源中找到名为flash_attn的包,或者找不到符合你指定版本要求的包。以下是一些解决这个问题的步骤: 确认库名称和...
然后计算context vector,首先attn_weights是[2, 2, 6, 6],然后values是[2, 2, 6, 1] ,矩阵乘法得到[2, 2, 6, 1],然后第1个channel和第2个channel进行调换变成[2, 6, 2, 1]。 context_vec = (attn_weights @ values).transpose(1, 2) ...
tests/kernels/test_flash_attn.py Original file line numberDiff line numberDiff line change @@ -2,13 +2,16 @@ import pytest import torch from vllm_flash_attn import flash_attn_varlen_func, flash_attn_with_kvcache NUM_HEADS = [(16, 16), (32, 8), (64, 8)] import vllm.attentio...
worker.model_runner import (ModelInputForGPUBuilder, ModelInputForGPUWithSamplingMetadata) from vllm_flash_attn import flash_attn_varlen_func as _flash_attn_varlen_func from vllm_flash_attn import flash_attn_with_kvcache as _flash_attn_with_kvcache # yapf: disable from vllm.vllm_flash_...
The text was updated successfully, but these errors were encountered: nero-dvcommentedMay 3, 2024 add results of the following txt file after piping results to file: pip freeze>out.txtecho$PATH>path.txt and uname -a It seems that there is noflash_attn.flash_attentionmodule after flash-attn...
This PR resolves #8002 and builds vllm-flash-attn from source. This is required for using torch nightly. This PR relies on the new CMake-based build system in vllm-flash-attn. To make installation ...
core.flash_attn import flash_attention_n from flash_attention_softmax_n.core.functional import softmax_n, slow_attention_n try: from flash_attention_softmax_n.core.flash_attn_triton import flash_attention_n_triton except ModuleNotFoundError as e: warn(f'The Triton flash attention implementa...
Bumps flash-attn from 2.6.1 to 2.6.3. Commits 418d677 Bump to v2.6.3 65205d3 [CI] Compile for pytorch 2.4.0 3aae9c1 Revert "Changes For FP8 (#1075)" 1899c97 Changes For FP8 (#1075) 59594f2 Bump...