所以我们只需要交付一个映射,也就是一开始提到的device_map。 在hf auto里,这个事情是一个两部曲,通过transformers的utils的get_balanced_memory获取每张卡上的最大显存占用,然后再把每个GPU的最大显存占用送给accelerate的infer_auto_device_map,从而得到device_map。 get_balanced_memory的工作机制大致是 确定模型各个...
device_map="auto"通常用于在单机多卡环境下,自动将模型的各个部分分配到不同的GPU上,以优化性能和资源利用。这种设置特别适用于大型模型,如GPT或T5等,它们可能包含数十亿个参数,单个GPU可能无法容纳整个模型。 2. 检查相关代码或配置文件是否正确 确保你的代码或配置文件中已经正确设置了device_map="auto",并且其他...
device_map是一个在使用Hugging Face的transformers库,特别是处理大型模型和多GPU环境时非常重要的参数。它用于指定模型的各个部件应加载到哪个具体的计算设备上,以实现资源的有效分配和利用。这个参数在进行模型并行或分布式训练时特别有用。 2.2 自动配置,如device_map="auto" 使用device_map="auto"时,Hugging Face的...
bnb_config = BitsAndBytesConfig(**{'load_in_4bit':True}) model = AutoModelForCausalLM.from_pretrained('google/gemma-2-27b-it', device_map='auto', quantization_config=bnb_config) device_map = infer_auto_device_map(model, max_memory = {0: "23GB", 1: "23GB", 2: "23GB", 3: ...
device_map="auto"doesn't use all available GPUs whenload_in_8bit=True#22595 New issue System Info transformersversion: 4.28.0.dev0 Platform: Linux-4.18.0-305.65.1.el8_4.x86_64-x86_64-with-glibc2.28 Python version: 3.10.4 Huggingface_hub version: 0.13.3 ...
The EL_DEVICE_CLASS table contains all feature classes of the Electric data model that participate in the electric topology. If a class in the topology is not included in this table it is assigned the device type Load. Feature Class Device Type Attachment Device Load Breaker Feeder Bus ...
device_map='auto'。为了实现支持,模型类需要实现 _no_split_modules 属性。这是我导入和配置LLM的方法from transformers import AutoModelForSequenceClassification, AutoTokenizer # Choose a model appropriate for your task model_name = "emilyalsentzer/Bio_ClinicalBERT" tokenizer = AutoTokenizer.from_pretrain...
MapDeviceImplgetControl() voidunbind() voidclean() synchronized voiddelete() 详细描述 构造及析构函数说明 ◆MapDevice()[1/2] com.autonavi.gbl.map.MapDevice.MapDevice(longcPtr, booleancMemoryOwn ) protected ◆MapDevice()[2/2] com.autonavi.gbl.map.MapDevice.MapDevice(MapDeviceImplcontrol) ...
This group contains the device feature classes that make up the electric network. The electric network also includes the Conductor feature class. Most device feature classes also have predefined label and model feature classes as well. All devices are related to a circuit (FID_CIRCUIT). Feature...
System Info If I load a model like this model = AutoModelForCausalLM.from_pretrained("models/opt-13b", device_map='auto', load_in_8bit=True) and then do model = None torch.cuda.empty_cache() the VRAM is not freed. The only way I have fou...