from torch.nn import functional 如果这行代码没有报错,那么说明torch.nn.functional是可以正常导入的。 检查代码中是否有拼写错误或路径问题导致无法导入functional: 确保你的导入语句没有拼写错误,并且你的Python环境配置正确,没有路径问题。有时候,路径问题或者虚拟环境问题(如未激活正确的虚拟环境)也可能导致导入失败...
scott import torchimport torch.nn.functional as Fimport torch.utils.data as Datafrom torch.autograd import Variableimport matplotlib.pyplot as plttorch.manual_seed(1)x=torch.unsqueeze(torch.linspace(-1,1,100),dim=1)y=x.pow(2)+0.1*torch.normal(torch.zeros(*x.size()))LR = 0.01BATCH_SIZ...
执行torch.load(模型名称, map_location='cpu')报错:from torchvision.transforms.functional_tensor import rgb_to_grayscale 解决办法: 打开这个文件: /usr/local/lib/python3.9/site-packages/basicsr/data/degradations.py第8行: from torchvision.transforms.functional_tensor import rgb_to_grayscale...
🐛 Describe the bug Torch code that I ran with no problem on Google Colab (default configuration) a year ago is now failing with an out-of-memory error. Specifically, calling torch.nn.functional.cosine_similarity() seems to require around...
fromimportlib.metadataimportversionpkgs=["matplotlib","numpy","tiktoken","torch","tensorflow"# For OpenAI's pretrained weights]forpinpkgs:print(f"{p}version: {version(p)}")# outputmatplotlibversion:3.8.0numpyversion:1.26.4tiktokenversion:0.7.0torchversion:2.3.1tensorflowversion:2.16.1 ...