Get started with Tensorflow

Prerequisites

You need the following:

• Git
• Python >3.7
• pip

Some libraries installed on Graal:

• adlfs==2022.2.0
• aiohttp==3.8.1
• gcsfs==2022.2.0
• prometheus-client==0.13.1
• protobuf==3.19.4
• pyarrow==7.0.0
• python-socketio==5.4.1
• s3fs==2022.2.0
• h5py==3.6.0
• pandas==1.4.2
• tensorflow-datasets==4.5.2

Distributed feature

With the Tensorflow runtime, in addition to using Tensorflow in a classical way, it is possible to do distributed training. For the moment only the "MultiWorkerMirroredStrategy" strategy is compatible with Graal. For more information on how to configure your code: multi_worker_strategy_tensorflow Note that Graal takes care of creating and configuring the TF_CONFIG.

Example

Clone the example project and use pip to build it.

The example project named tensorflow_examples is composed of 2 modules. We can find an implementation of a classification model with Tensorflow and the same model with Tensorflow Distributed.