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Unable to Update PyTorch 1.4.0 to 1.5.0 Using Conda: A Guide for Data Scientists

As data scientists, we often find ourselves in the midst of complex computational problems. PyTorch, an open-source machine learning library, is a go-to solution for many of us. However, updating PyTorch can sometimes be a challenge. This blog post will guide you through the process of updating PyTorch 1.4.0 to 1.5.0 using Conda, and what to do if you encounter issues.
By Saturn Cloud | | Miscellaneous

Unable to Update PyTorch 1.4.0 to 1.5.0 Using Conda: A Guide for Data Scientists

As data scientists, we often find ourselves in the midst of complex computational problems. PyTorch, an open-source machine learning library, is a go-to solution for many of us. However, updating PyTorch can sometimes be a challenge. This blog post will guide you through the process of updating PyTorch 1.4.0 to 1.5.0 using Conda, and what to do if you encounter issues.

Understanding the Issue

Before we dive into the solution, let’s understand the problem. You might have tried to update PyTorch using the command conda update pytorch, only to find that your PyTorch version remains at 1.4.0. This issue arises due to the dependencies and the specific build of PyTorch installed in your environment.

Step-by-Step Solution

Step 1: Check Your Current PyTorch Version

First, let’s verify the version of PyTorch you’re currently using. Run the following command in your Python environment:

import torch
print(torch.__version__)

If the output is 1.4.0, you’re facing the issue we’re addressing in this post.

Step 2: Create a New Conda Environment

Creating a new environment can help isolate the problem and avoid conflicts with other packages. Use the following command to create a new environment:

conda create --name pytorch1.5 python=3.7

Activate the new environment:

conda activate pytorch1.5

Step 3: Install PyTorch 1.5.0

Now, let’s install PyTorch 1.5.0 in our new environment. Use the following command:

conda install pytorch=1.5.0 torchvision cudatoolkit=10.2 -c pytorch

This command installs PyTorch 1.5.0, torchvision, and the CUDA toolkit from the PyTorch channel.

Step 4: Verify the Update

Finally, verify the update by checking the PyTorch version again:

import torch
print(torch.__version__)

If the output is 1.5.0, congratulations! You’ve successfully updated PyTorch.

Troubleshooting

If you’re still unable to update PyTorch, consider the following troubleshooting steps:

  1. Check for conflicting packages: Some packages might conflict with PyTorch 1.5.0. Identify and update or remove these packages.

  2. Update Conda: An outdated Conda version can cause issues. Update Conda using conda update -n base conda.

  3. Use pip: If Conda still doesn’t work, try using pip: pip install torch==1.5.0.

Conclusion

Updating PyTorch from 1.4.0 to 1.5.0 using Conda can be a bit tricky due to dependencies and build issues. However, by creating a new environment and installing the specific version, you can overcome this challenge. Remember, when in doubt, isolating the problem in a new environment is a good first step.

We hope this guide has been helpful. Stay tuned for more tips and tricks to navigate the world of data science!

Keywords: PyTorch, Conda, Update, Data Science, Machine Learning, Troubleshooting, PyTorch 1.4.0, PyTorch 1.5.0, Python, CUDA, torchvision, pip, Conda Environment

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