根据找到的正确导入路径,修改代码中的导入语句: 一旦你找到了randn_tensor的正确导入路径,你需要在代码中相应地修改导入语句。例如,如果randn_tensor现在位于diffusers.some_other_module,则你的导入语句应该修改为: python from diffusers.some_other_module import randn_
无法从“diffusers.utils”导入名称“randn_tensor” 我正在使用这个 autotrain 协作,当我标记并将图像放入图像文件夹并尝试运行它时,它说这个错误,我该如何解决这个问题? 重现: 点击ipynb 的链接 新建一个文件夹名称为images 添加一些图像并将提示替换为描述您的图像的内容 转到运行时并运行所有 ipynb 链接...
requires_grad (bool, optional): If autograd should record operations on the returned tensor.Default:``False``. pin_memory (bool, optional): If set, returned tensor would be allocatedinthe pinned memory. Works onlyforCPU tensors.Default:``False``. Example:: >>> torch.randn(4) tensor([-...
Deterministic behaviour with torch.randn_like() on mps when tensor dimensionality exceeds some size #151928 Sign in to view logs Summary Jobs assign Run details Usage Workflow file Triggered via issue February 24, 2025 16:02 henry-ald commented on #147740 576ed1e Status Success Total duratio...
value_dict["cond_frames"] = img + cond_aug * torch.randn_like(img) TypeError: randn_like(): argument 'input' (position 1) must be Tensor, not NoneType environment: All stable video models via example streamlit app are failing to load with the same error: ...
print(x[:, 1]) # view操作可以改变矩阵维度 x = torch.randn(4, 4) y = x.view(16) z = x.view(-1, 8) a = torch.ones(5) # tensor b = a.numpy() # 将tensor转换为numpy格式 import numpy as np a = np.ones([3, 2]) b = torch.from_numpy(a) # 将a转换为tensor格式 print...
print(x[:, 1]) # view操作可以改变矩阵维度 x = torch.randn(4, 4) y = x.view(16) z = x.view(-1, 8) a = torch.ones(5) # tensor b = a.numpy() # 将tensor转换为numpy格式 import numpy as np a = np.ones([3, 2]) b = torch.from_numpy(a) # 将a转换为tensor格式 print...
Pytorch常用创建Tensor方法总结 2019-12-20 15:23 −1、import from numpy / list 方法:torch.from_numpy(ndarray) 常见的初始化有torch.tensor和torch.Tensor &... JiangXiaoKun 0 13416 Pytorch的tensor转图像需注意的问题 2019-12-25 21:18 −记录一下自己在实验中发现的一个问题,我使用了别人的评测函数...