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?
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...
(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...
[ST][MS][全量]llama2-70b awq w4a16量化报错ValueError: not enough values to unpack (expected 3, got 2) 2.Environment / 环境信息 (Mandatory / 必填) Hardware Environment / 硬件环境(Mandatory / 必填): Hardware (e.g.Ascend910B1/Mac CPU) 样例: 后端类型硬件具体类别 Ascend 910B3 CPU Mac CP...
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.. ...
Mixed precision type: fp16 File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/init.py", line 348, in _memory_efficient_attention_forward_requires_grad inp.validate_inputs() File "/usr/local/lib/python3.10/dist-packages/xformers/ops/fmha/common.py", line 112, in validate...
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) ...