device=select_device(self.args.device,verbose=verbose),File"E:\python-project\yolov10\ultralytics\utils\torch_utils.py",line128,inselect_deviceraiseValueError(ValueError:InvalidCUDA'device=0'requested.Use'device=cpu'orpass validCUDAdevice(s)ifavailable,i.e.'device=0'or'device=0,1,2,3'forMult...
1. torch.abs/add/div/pow ——>绝对值/求和/求商/求幂 2. torch.clamp(变量,上边界,下边界) 3. torch.mm/mv ——>矩阵相乘/与矩阵*向量 //一维向量默认为列向量 4. .T 转置矩阵 torch数据读取 dataset类 自定义数据集 import torch from torch.utils.data import Dataset # 自定义一个名称为MyDatase...
Source File: torch_utils.py From pruning_yolov3 with GNU General Public License v3.0 6 votes def select_device(device='', apex=False): # device = 'cpu' or '0' or '0,1,2,3' cpu_request = device.lower() == 'cpu' if device and not cpu_request: # if device requested other ...
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat2 in method wrapper_mm) 1. 原因 代码中的Tensor**,一会在CPU中运行,一会在GPU中运行**,所以最好是都放在同一个device中执行。 pytorch有两种...
n += y.shape[0]returnacc_sum / n 开发者ID:wdxtub,项目名称:deep-learning-note,代码行数:19,代码来源:utils.py 示例6: train_cnn ▲点赞 6▼ # 需要导入模块: import torch [as 别名]# 或者: from torch importdevice[as 别名]deftrain_cnn(net, train_iter, test_iter, batch_size, optimizer...
报错提示在utils.py这个文件的问题 index=idx_range.index_ select(0,reverse_ mapping) 使用print语句检查 print(index.is_cuda,idx_range.is_cuda) 经过验证发现idx_range在cpu上,index在GPU上,把idx_range放在GPU即可。 idx_range.to(device) 如果遇到下面问题 ...
对应两种保存模型的方式,pytorch也有两种加载模型的方式。对应第一种保存方式,加载模型时通过torch.load(‘.pth’)直接初始化新的神经网络对象;对应第二种保存方式,需要首先导入对应的网络,再通过net.load_state_dict(torch.load(‘.pth’))完成模型参数的加载。
Your current environment The output of `python collect_env.py` 🐛 Describe the bug This is a compond and annoying bug, coupled with pytorch bug pytorch/pytorch#122815 . Basically, pytorch torch.cuda.device_count function will cache the de...
@@ -0,0 +1,104 @@ import pprint import torch from torch.utils._pytree import tree_map, tree_map_only class OpenRegTensorMeta: def __init__(self, tensor, checked=True): if checked and not tensor.device.type == "openreg": raise RuntimeError( "Creating OpenRegTensorMeta is only fo...
torch/hpu/_utils.py", line 42, in _get_device_index ERROR 11-26 01:28:14 engine.py:369] device_idx = hpu.current_device() ERROR 11-26 01:28:14 engine.py:369] File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py", line 132, in ...