https://github.com/awaelchli/pytorch-demo
Future Talk 2019: Monitoring and Debugging Deep Neural Networks in PyTorch
https://github.com/awaelchli/pytorch-demo
Last synced: about 2 months ago
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Future Talk 2019: Monitoring and Debugging Deep Neural Networks in PyTorch
- Host: GitHub
- URL: https://github.com/awaelchli/pytorch-demo
- Owner: awaelchli
- Created: 2019-05-06T13:37:00.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-11-22T04:32:15.000Z (over 2 years ago)
- Last Synced: 2025-03-10T20:52:45.591Z (2 months ago)
- Language: Jupyter Notebook
- Homepage: https://futuretalks.ch
- Size: 1000 KB
- Stars: 3
- Watchers: 1
- Forks: 3
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
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README
# PyTorch Demo
This repository is built for the presentation given at the Future Talk 2019 event.
## Prerequisites
For ease of use, I recommend you install the following software packages in advance.
#### [Anaconda 3][1]
Download and install the 3.x version of Anaconda. It comes with Python 3. After installation, make sure that the command 'conda' is a recognized command. If not check that ```INSTALL_DIR/anaconda3/bin``` is included in your path variable.
Create a new environment:
~~~
conda create -n pytorch-demo python=3.7
~~~
Activate the environment:
~~~
conda activate pytorch-demo
~~~
#### [PyTorch][2]
If you have a system with an NVIDIA graphics card that supports CUDA, choose the installation for GPU, otherwise install the CPU-only version.
- GPU: ``` conda install pytorch torchvision cudatoolkit=10.0 -c pytorch ```
- CPU: ``` conda install pytorch-cpu torchvision-cpu -c pytorch ```
This repository was prepared with PyTorch 1.1.0.
#### [Jupyter Notebook][3]
We will use Jupyter Notebook as an interactive code editor. First install it, then start:
~~~
conda install jupyter
jupyter notebook
~~~
This should open a new browser window.
#### Everything Else
You will need a bunch of other packages, nothing fancy. Just run
```
pip install -r requirements.txt
```
You are ready to start coding!
Finally, when you are done working with your notebooks, deactivate the environment:
~~~
conda deactivate
~~~
## Slides
The slides are available as an interactive Jupyter Notebook. If you want to use and adapt them yourself, you will need [RISE][4]:
~~~
conda install -c conda-forge rise
~~~
This is optional and not required to run and interact with the code.
[1]: https://www.anaconda.com/distribution/ "Install Anaconda"
[2]: https://pytorch.org/ "Install PyTorch"
[3]: https://jupyter.org/install.html "Install Jupyter Notebook"
[4]: https://github.com/damianavila/RISE "RISE"