| # Google Colaboratory (Colab) Notebooks |
| |
| To run these notebooks with a local runtime, refer to the |
| [Using Colab docs](../docs/using_iree/using_colab.md). |
| |
| Hosted/remote runtimes are not yet supported. |
| |
| ## Notebooks |
| |
| ### [edge_detection\.ipynb](edge_detection.ipynb) |
| |
| Constructs a TF module for performing image edge detection and runs it using |
| IREE |
| |
| [](https://colab.research.google.com/github/google/iree/blob/main/colab/edge_detection.ipynb) |
| |
| ### [low_level_invoke_function\.ipynb](low_level_invoke_function.ipynb) |
| |
| Shows off some concepts of the low level IREE python bindings |
| |
| [](https://colab.research.google.com/github/google/iree/blob/main/colab/low_level_invoke_function.ipynb) |
| |
| ### [mnist_tensorflow\.ipynb](mnist_tensorflow.ipynb) |
| |
| Trains a TensorFlow 2.0 model for recognizing handwritten digits and runs it |
| using IREE |
| |
| [](https://colab.research.google.com/github/google/iree/blob/main/colab/mnist_tensorflow.ipynb) |
| |
| ### [resnet\.ipynb](resnet.ipynb) |
| |
| Loads a pretrained |
| [ResNet50](https://www.tensorflow.org/api_docs/python/tf/keras/applications/ResNet50) |
| model and runs it using IREE |
| |
| [](https://colab.research.google.com/github/google/iree/blob/main/colab/resnet.ipynb) |
| |
| ### [simple_tensorflow_module_import\.ipynb](simple_tensorflow_module_import.ipynb) |
| |
| Defines a simple TF module, saves it and loads it in IREE |
| |
| [](https://colab.research.google.com/github/google/iree/blob/main/colab/simple_tensorflow_module_import.ipynb) |
| |
| ## Working with GitHub |
| |
| Refer to |
| [Colab's GitHub demo](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb) |
| for general information about using Colab with GitHub. |
| |
| To make changes to a notebook in this repository, one possible workflow is: |
| |
| * Open or create the notebook in Colab |
| * Connect to your local runtime |
| * Make your changes, run the notebook, etc. |
| * Download the modified notebook using `File > Download .ipynb` |
| * Move the downloaded notebook file into a clone of this repository and submit |
| a pull request |
