Python no module named torch

How to Solve Python ModuleNotFoundError: no module named ‘torch’

When using Python, a common error you may encounter is modulenotfounderror: no module named ‘torch’. This error occurs when Python cannot detect the PyTorch library in your current environment. This tutorial goes through the exact steps to troubleshoot this error for the Windows, Mac and Linux operating systems.

Table of contents

• ModuleNotFoundError: no module named ‘torch’
  • What is PyTorch?
  • How to Install PyTorch on Windows Operating System
    • PyTorch installation with Pip on Windows for CPU
    • PyTorch installation with Pip on Windows for CUDA 10.2
    • PyTorch installation with Pip on Windows for CUDA 11.3
    • Installing pip for Ubuntu, Debian, and Linux Mint
    • Installing pip for CentOS 8 (and newer), Fedora, and Red Hat
    • Installing pip for CentOS 6 and 7, and older versions of Red Hat
    • Installing pip for Arch Linux and Manjaro
    • Installing pip for OpenSUSE
    • PyTorch installation on Linux with Pip for CPU
    • PyTorch installation on Linux with Pip for CUDA 10.2
    • PyTorch installation on Linux with Pip for CUDA 11.3
    • Installing PyTorch Using Anaconda for CPU
    • Installing PyTorch Using Anaconda for CUDA 10.2
    • Installing PyTorch Using Anaconda for CUDA 11.3
    • Check PyTorch Version

    ModuleNotFoundError: no module named ‘torch’

    What is PyTorch?

    PyTorch is an open-source deep learning framework developed by Facebook’s AI Research lab. PyTorch provides a beginner-friendly and Pythonic API for building complex models for research and industrial applications.

    The simplest way to install PyTorch is to use the package manager for Python called pip. The following installation instructions are for the major Python version 3.

    When you want to install PyTorch using pip, the packages to install together are torch, torchvision, and torchaudio.

    How to Install PyTorch on Windows Operating System

    First, you need to download and install Python on your PC. Ensure you select the install launcher for all users and Add Python to PATH checkboxes. The latter ensures the interpreter is in the execution path. Pip is automatically on Windows for Python versions 2.7.9+ and 3.4+.

    You can check your Python version with the following command:

    You can install pip on Windows by downloading the installation package, opening the command line and launching the installer. You can install pip via the CMD prompt by running the following command.

    You may need to run the command prompt as administrator. Check whether the installation has been successful by typing.

    PyTorch installation with Pip on Windows for CPU

    To install PyTorch for CPU, run the following command from the command prompt.

    pip3 install torch torchvision torchaudio

    PyTorch installation with Pip on Windows for CUDA 10.2

    To install PyTorch for CUDA 10.2, run the following command from the command prompt.

    pip3 install torch==1.10.0+cu102 torchvision==0.11.1+cu102 torchaudio===0.10.0+cu102 -f https://download.pytorch.org/whl/cu102/torch_stable.html

    PyTorch installation with Pip on Windows for CUDA 11.3

    To install PyTorch for CUDA 11.3, run the following command from the command prompt.

    pip3 install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio===0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

    How to Install PyTorch on Mac Operating System

    Open a terminal by pressing command (⌘) + Space Bar to open the Spotlight search. Type in terminal and press enter. To get pip, first ensure you have installed Python3:

    Download pip by running the following curl command:

    curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

    The curl command allows you to specify a direct download link. Using the -o option sets the name of the downloaded file.

    From the terminal, use pip3 to install PyTorch:

    pip3 install torch torchvision torchaudio

    Note that this is the only way to install PyTorch using pip on the Mac operating system because the macOS binaries do not support CUDA. You can install from the source if you need CUDA.

    How to Install PyTorch on Linux Operating Systems

    All major Linux distributions have Python installed by default. However, you will need to install pip. You can install pip from the terminal, but the installation instructions depend on the Linux distribution you are using. You will need root privileges to install pip. Open a terminal and use the commands relevant to your Linux distribution to install pip.

    Installing pip for Ubuntu, Debian, and Linux Mint

    sudo apt install python-pip3

    Installing pip for CentOS 8 (and newer), Fedora, and Red Hat

    sudo dnf install python-pip3

    Installing pip for CentOS 6 and 7, and older versions of Red Hat

    sudo yum install epel-release sudo yum install python-pip3

    Installing pip for Arch Linux and Manjaro

    Installing pip for OpenSUSE

    PyTorch installation on Linux with Pip for CPU

    Once you have installed pip, you can install PyTorch using:

    pip3 install torch==1.10.0+cpu torchvision==0.11.1+cpu torchaudio==0.10.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html

    PyTorch installation on Linux with Pip for CUDA 10.2

    Once you have installed pip, you can install PyTorch using:

    pip3 install torch torchvision torchaudio

    PyTorch installation on Linux with Pip for CUDA 11.3

    Once you have installed pip, you can install PyTorch using:

    pip3 install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

    Installing PyTorch Using Anaconda

    First, to create a conda environment to install PyTorch.

    conda create -n pytorch python=3.6 numpy=1.13.3 scipy

    Then activate the PyTorch container. You will see “pytorch” in parentheses next to the command line prompt.

    Now you’re ready to install PyTorch using conda. The command will change based on the operating system and whether or not you need CUDA.

    Installing PyTorch Using Anaconda for CPU

    Anaconda is a distribution of Python and R for scientific computing and data science. You can install Anaconda by going to the installation instructions. Once you have installed Anaconda and created your conda environment, you can install PyTorch using the following command:

    conda install pytorch torchvision torchaudio cpuonly -c pytorch

    Note that this is the only way to install PyTorch using conda on the Mac operating system because the macOS binaries do not support CUDA. You can install from the source if you need CUDA.

    Installing PyTorch Using Anaconda for CUDA 10.2

    Anaconda is a distribution of Python and R for scientific computing and data science. You can install Anaconda by going to the installation instructions. Once you have installed Anaconda, you can install PyTorch using the following command:

    conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch

    Installing PyTorch Using Anaconda for CUDA 11.3

    Anaconda is a distribution of Python and R for scientific computing and data science. You can install Anaconda by going to the installation instructions. Once you have installed Anaconda, you can install PyTorch using the following command:

    conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch

    Check PyTorch Version

    Once you have successfully installed PyTorch, you can use two methods to check the version of PyTorch. First, you can use pip show from your terminal. Remember that the name of the PyTorch package is torch.

    Name: torch Version: 1.10.0+cu102 Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration Home-page: https://pytorch.org/ Author: PyTorch Team Author-email: [email protected] License: BSD-3 Location: /home/ubuntu/anaconda3/envs/tensorflow2_latest_p37/lib/python3.7/site-packages Requires: typing-extensions Required-by: torchaudio, torchvision

    Second, within your python program, you can import torch and then reference the __version__ attribute:

    import torch print(torch.__version__)

    If you used conda to install PyTorch, you could check the version using the following command:

    Summary

    Congratulations on reading to the end of this tutorial. The modulenotfounderror occurs if you misspell the module name, incorrectly point to the module path or do not have the module installed in your Python environment. If you do not have the module installed in your Python environment, you can use pip to install the package. However, you must ensure you have pip installed on your system. You can also install Anaconda on your system and use the conda install command to install PyTorch.

    For further reading on operations with PyTorch, go to the article: How to Convert NumPy Array to PyTorch Tensor.

    Go to the online courses page on Python to learn more about Python for data science and machine learning.

    For further reading on missing modules, go to the articles:

    Have fun and happy researching!

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    Modulenotfounderror: No module named ‘torch’ (Fix the error)

    

    Modulenotfounderror: No module named ‘torch’ error occurs when PyTorch python module is either not found or its path is not set. Actually, PyTorch is a deep learning library that is compatible with multiple hardware configurations like CPU and CUDA-supported GPUs. The installation process of Pytorch is slightly different for different hardware configurations. Actually, the commands are a bit different. Anyways in this article, we will explore multiple ways to fix this (No module named ‘torch’) error. So let’s see.

    What is Pytorch ?

    Pytorch is a machine learning framework that is build upon the torch library. Using it you can build applications based on computer vision and natural language processing. The PyTorch framework is open source and build by the Meta company. It is so popular to the developers because it supports over 200 different mathematical operations.

    Modulenotfounderror: No module named ‘torch’ ( Solution ) –

    We can use any Python package manager for the installation of the PyTorch module. Here we will explore pip and conda as package managers or we can use source code to install pytorch package.

    

    Solution 1: Using pip to install pytorch –

    Actually, the package manager installs the binary /wheel file at the required path to execute in a single command. Here is the pip command to install PyTorch.

    

    The above command will install the latest version of the PyTorch module. You can specify any other version with the same command.

    Now if you are using Python 3 then specifically we can use pip3 in the above command.

    Other Supplementary packages –

    Mostly we do not use any PyTorch alone. Actually, there are a couple of packages we use as a bundle. Here is the command for installing them all together.

    pip install torch torchvision torchaudio

    Hardware specification with pip –

    Now let’s see the hardware configurations with pytorch module. Mostly Deep Learning application works smoothly with CUDA GPU-supportive library. Here is the command for that.

    pip3 install torch==1.10.0+cu113

    If you want to install CUDA-supportive supplementary packages. Use the below command.

    pip3 install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio===0.10.0+cu113 -f

    Solution 2: Using conda to install Pytorch –

    Conda package manager comes default with Anaconda distribution. Just quite similar to pip we can use the below command.

    conda install -c pytorch pytorch

    

    Installing Other Supplementary packages with Conda –

    Just like the above package manager pip, we can install additional packages with conda too. Follow the below command for that.

    conda install pytorch torchvision torchaudio cpuonly -c pytorch

    Hardware specification with conda –

    To install the CUDA supportive libraries, Here is the command.

    conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch

    Solution 3: Pytorch Installation using source code-

    We can download the source code from GitHub and using the setup.py file we can install the same. This is not very straight but one of the ways to solve module not found error.

    

    Download the source code for pytorch.

    Data Science Learner Team

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