ModuleNotFoundError Traceback (most recent call last) Input In [1], in <cell line: 22>() 20 torch.backends.cudnn.benchmark =True 21 dtype = torch.cuda.FloatTensor ---> 22 from pytorch_wavelets import DWT, IDWT 23 xfm = DWT(mode='symmetric', wave='haar').cuda() # Accepts all wave types available to PyWavelets 24 ifm = IDWT(mode='symmetric', wave='haar').cuda() ModuleNotFoundError: No module named 'pytorch_wavelets

It seems like you are encountering a `ModuleNotFoundError` when trying to import `pytorch_wavelets` module in your code. This error occurs when the required module is not found in your system.

To solve this issue, you need to install the `pytorch_wavelets` module in your system. You can do this by running the following command in your terminal:

pip install pytorch_wavelets

Once the installation is complete, try running your code again and it should work without any errors.

相关问题

ModuleNotFoundError Traceback (most recent call last) Input In [1], in <cell line: 9>() 7 from tkinter.filedialog import askopenfilename 8 from PIL import Image, ImageTk ----> 9 from tensorflow import keras ModuleNotFoundError: No module named 'tensorflow'

这个错误提示说明你的电脑上没有安装 TensorFlow 库。你需要先安装 TensorFlow 库才能运行这段代码。你可以通过在命令行中输入以下命令安装 TensorFlow：

pip install tensorflow

如果你使用的是 GPU 版本的 TensorFlow，你需要安装 CUDA 和 cuDNN 库。你可以在 TensorFlow 官网上找到相应的安装方法。

Traceback (most recent call last): File "train.py", line 21, in <module> from torch.utils.tensorboard import SummaryWriter

回答: 这个报错是因为在运行脚本时找不到名为'tensorboard'的模块。根据引用\[1\]中的错误信息，可以看出在train.py文件的第9行中导入了torch.utils.tensorboard模块，但是系统找不到这个模块。解决这个问题的方法是安装tensorboard模块。根据引用\[3\]中的提示，可以使用pip命令安装tensorboard模块，命令为pip install tensorboard。安装完成后，可以使用tensorboard命令来运行TensorBoard，并通过--logdir参数指定日志文件的路径。这样就可以解决报错问题了。
#### 引用[.reference_title]
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