DeepSpeed offers efficient sparse attention kernels developed in Triton (opens in new tab). These kernels are structured in block-sparse paradigm that enables aligned memory access, alleviates thread divergence, and balances workloads on processors. System performance: SA powers over 10x longer sequence...
use_flash_attn_triton attention_mask, loss_mask, position_ids = get_ltor_masks_and_position_ids( tokens, tokenizer.eod, args.reset_position_ids, args.reset_attention_mask, args.eod_mask_loss, skip_mask) # For DS's sequence parallel seq_parallel_world_size = mpu.get_sequence...
DeepSpeed-MII DeepSpeed bug multi-gpu in single node对于这种问题，有什么建议吗？我似乎从文档中丢失...
'triton': fetch_requirements('requirements/requirements-triton.txt'), } # Only install pynvml on nvidia gpus. if torch_available and get_accelerator().device_name() == 'cuda' and not is_rocm_pytorch: install_requires.append('nvidia-ml-py') # Add specific cupy version to both onebit...
[WARNING] please install triton==1.0.0 if you want to use sparse attention [WARNING] One can disable sparse_attn with DS_BUILD_SPARSE_ATTN=0 [ERROR] Unable to pre-compile sparse_attn [end of output] note: This error originates from a subprocess, and is likely not a problem with pip....
timers('allreduce').reset()else:torch.distributed.all_reduce(reduced_losses.data)reduced_losses.data=reduced_losses.data/args.world_sizeifnotUSE_TORCH_DDP:timers('allreduce').start()model.allreduce_params(reduce_after=False,fp32_allreduce=args.fp32_allreduce)timers('allreduce')....
Allow triton==3.0.x for fp_quantizer by@siddartha-REin#6447 Change GDS to 1 AIO thread by@jomayeriin#6459 [CCL] fix condition issue in ccl.py by@YizhouZin#6443 Avoid gds build errors on ROCm by@rraminenin#6456 TestLowCpuMemUsage UT get device by device_name by@raza-sikanderin#6397 ...
[WARNING] please install triton==1.0.0 if you want to use sparse attention sparse_attn ... [NO] ... [NO] spatial_inference ... [NO] ... [OKAY] transformer ... [NO] ... [OKAY] stochastic_transformer . [NO] ... [OKAY] transformer...
We select the PyTorch default libcudart.so, which is {torch.version.cuda},but this might missmatch with the CUDA version that is needed for bitsandbytes.To override this behavior set the BNB_CUDA_VERSION=<version string, e.g. 122> environmental variableFor example, if you want to use the...
源码直接安装triton==1.0.0估计是由于python版本或者torch等环境问题就是安装不上,尝试了以下所有办法: 按照官方教程安装: DS_BUILD_UTILS=1 pip install deepspeed 报错: subprocess.CalledProcessError: Command ‘[‘which‘, ‘g++‘]‘ returned non-zero exit status 1. 执行 apt-get install build-essential...