在解决“valueerror: tried to use fp16 but it is not supported on cpu”这个错误时,我们可以按照您提供的提示来逐步分析和解决问题。以下是详细的回答: 1. 确认错误信息的含义 这个错误信息表明您的代码尝试在CPU上使用半精度浮点数(fp16),但当前的CPU硬件或环境配置不支持这种操作。fp16主要用于加速深度学习...
dear all: when i disable the lora and set whole Mistral LLm weights requires_grad=True, it gives me the error: ValueError: Attempting to unscale FP16 gradients anyone give some tips?
I've noticed when I add parameter --train_text_encoder it work in fp16 as it should, so don't know if it's a proper way, but I forced text_encoder output type to float32 in script itself train_dreambooth_lora_sdxl.py def encode_prompt(text_encoders, tokenizers, prompt, text_inp...
(2) 因为我下载的代码版本第一阶段pretrain没有启用lora, init llama的时候设定的是fp16或者bf16. 查了一些解决方法, 直接把需要训练的参数手动设定为float32. for n, p in self.model.named_parameters(): if not p.requires_grad: continue # frozen weights p.data = p.data.to(torch.float32) 这里...
ValueError: paged_adamw_32bit is not a valid OptimizerNames, please select one of ['adamw_hf', 'adamw_torch', 'adamw_torch_fused', 'adamw_torch_xla', 'adamw_apex_fused', 'adafactor', 'adamw_bnb_8bit', 'adamw_anyprecision', 'sgd', 'adagrad'] ...
ValueError: could not convert string to float: 'C:\\MyImagePath\\XXX.png' Why I cannot astype my real image to FP16? (I use Windows 10 with openvino_2021.4.689) Translate 0 Kudos Reply Iffa_Intel Moderator 10-20-2021 10:53 PM 874 Views Hi, Th...
The torch.cuda.DoubleTensor is replaced with torch.npu.FloatTensor cause the double type is not supported now.. The backend in torch.distributed.init_process_group set to hccl now.. The torch.cuda.* and torch.cuda.amp.* are replaced with torch.npu.* and torch.npu.amp.* now.. ...
model = AutoModelForCausalLM.from_pretrained( ... torch_dtype=torch.float16, ) training_args = TrainingArguments( fp16=False, ... ) I am a bit new to these settings, does anyone know what is the reason? (I am using T4 gpu, so not able to use bf16) ...
ValueError: fp16 mixed precision requires a GPU Save... Folder 350_sonar123 woman: 5600 steps Regularisation images are used... Will double the number of steps required... max_train_steps = 11200 stop_text_encoder_training = 0 lr_warmup_steps = 0 accelerate launch --num_cpu_threads_per...
q_proj,v_proj \ --output_dir checkpoint \ --overwrite_cache \ --per_device_train_batch_size 4 \ --gradient_accumulation_steps 4 \ --lr_scheduler_type cosine \ --logging_steps 10 \ --save_steps 2000 \ --learning_rate 5e-5 \ --num_train_epochs 3.0 \ --plot_loss \ --fp16 ...