a)init_distributed 初始化加速器并更新到全局变量ds_accelerator(详见get_accelerator函数)。具体地, 首先,检测是否包含系统环境变量"DS_ACCELERATOR",如果包含则获取该系统环境变量中的加速器名称,并加载相应的接口(如"cpu"需要引入intel_extension_for_pytorch等),如果不包含,则尝试加载如下加速器对应的接口,如"xpu....
synchronize – 可选:在每次调用deepspeed.checkpointing.checkpoint的前向和反向传递的开始和结束处执行get_accelerator().synchronize()。默认为false。如果提供,将覆盖deepspeed_config。 profile – 可选:记录每个deepspeed.checkpointing.checkpoint调用的前向和反向传播时间。如果提供,将覆盖deepspeed_config。 deepspeed.c...
checkpoint的前向和反向传递的开始和结束处执行get_accelerator().synchronize()。默认为false。如果提供,将覆盖deepspeed_config。 profile – 可选:记录每个deepspeed.checkpointing.checkpoint调用的前向和反向传播时间。如果提供,将覆盖deepspeed_config。 deepspeed.checkpointing.is_configured() 代码语言:javascript ...
如果提供,将覆盖deepspeed_config。 synchronize – 可选:在每次调用deepspeed.checkpointing.checkpoint的前向和反向传递的开始和结束处执行get_accelerator().synchronize()。默认为false。如果提供,将覆盖deepspeed_config。 profile – 可选:记录每个deepspeed.checkpointing.checkpoint调用的前向和反向传播时间。如果提供,...
│ 12 │ │ get_accelerator().range_pop() │ │ 13 │ │ return ret_val │ │ 14 │ │ │ │ /opt/conda/lib/python3.9/site-packages/deepspeed/runtime/engine.py:1980 in backward │ │ │ │ 1977 │ │ if self.zero_optimization(): │ ...
[2023-09-22 11:41:02,429] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect) --- DeepSpeed C++/CUDA extension op report --- NOTE: Ops not installed will be just-in-time (JIT) compiled at runtime if needed. Op compatibility means that your...
cmdclass['build_ext'] = get_accelerator().build_extension().with_options(use_ninja=False) if torch_available: TORCH_MAJOR = torch.__version__.split('.')[0] TORCH_MINOR = torch.__version__.split('.')[1] else: TORCH_MAJOR = "0" TORCH_MINOR = "0" if torch_available ...
if torch_available and not get_accelerator().device_name() == 'cuda': # Fix to allow docker builds, similar to https://github.com/NVIDIA/apex/issues/486. print("[WARNING] Torch did not find cuda available, if cross-compiling or running with cpu only " "you can ignore this message...
其次,你需要在 training/utils/data/data_utils.py(https://github.com/microsoft/DeepSpeedExamples/blob/master/applications/DeepSpeed-Chat/training/utils/data/data_utils.py) 中的 get_raw_dataset 函数中添加一个与你的新数据集对应的 if 条件。if 条件中的 dataset_name 字符串应该是你将在训练脚本中提供...
Set up your cloud computing environment to get access to the Gaudi accelerator. There are two options available in the cloud today: Amazon EC2 DL1 Instances: based on first-gen Gaudi https://aws.amazon.com/ec2/instance-types/dl1/ Users can refer to Habana’s quick start guideherefor inst...