随着分辨率的增加,DiTFastAttn在降低总体注意力和图像生成的延迟方面表现更佳。值得注意的是,进一步优化作者的 Kernel 实现可能会导致更好的延迟降低。 Ablation Study DiTFastAttn优于单一方法。如图9左侧所示,在相同的计算预算下,DiTFastAttn相较于单个技术保持了更高的质量指标。在单一技术中,AST展现出最佳的生成质量...
DiTFastAttn: Attention Compression for Diffusion Transformer Models Diffusion Transformers (DiT) excel at image and video generation but face computational challenges due to self-attention's quadratic complexity. We propose DiTFastAttn, a novel post-training compression method to alleviate DiT's computati...
目前使用DiTFastAttn只能数据并行,或者单GPU运行。不支持其他方式并行,比如USP和PipeFusion等。我们未来计划实现并行版本的DiTFastAttn。 ## 下载COCO数据集 ``` wget http://images.cocodataset.org/annotations/annotations_trainval2014.zip unzip annotations_trainval2014.zip ``` ## 运行 在脚本中修改数据集路径...
位置:https://github.com/facebookresearch/xformers 二、flash_attn 一句话总结:常规attention在读写速度1.5TB/s、空间40G的HBM上计算,优化点是把矩阵计算拆解成更小单位的计算,在读写速度起飞的19TB/s、但空间只有20M的SRAM上,榨干这个高读写低空间资源。 我们知道tranformers的QKV计算中,QK的计算量是O(N2),...
foerfarande och anordning foer avskiljning av vaetskor ur heterogena strukturer av vaetskor och fast materialsaosom urvattnings - eller foertjockningsfoerfarande foer kommunalt eller industriellt slam.1. Method to separate liquids from heterogeneous mixtures, containing liquids and solid ...
--fast_multihead_attn build (NVIDIA#1245) Browse files * merge .so files * odr * fix build * update import * apply psf/black with max line length of 120 * update * fix * update * build fixed again but undefined symbol again * fix 2, still layer norm grad is undefined * remove...
The bottleneck here is to load KV cache as fast as possible, and we split the loading across different thread blocks, with a separate kernel to combine results. See the function flash_attn_with_kvcache with more features for inference (perform rotary embedding, updating KV cache inplace). ...
🐛 Describe the bug TLDR: When nn.MultiheadAttention is used with a batched attn_mask which should be shape (N*H, L, S) (where S=L for self-attn) and fast path is enabled it crashes. It works as expected when fast path is not enabled Mini...
fastchat data llm_judge model modules protocol serve train llama_flash_attn_monkey_patch.py llama_xformers_attn_monkey_patch.py train.py train_baichuan.py train_flant5.py train_lora.py train_lora_t5.py train_mem.py train_xformers.py ...