Device parameter is not processed in TensorFlow tutorials

[itrushkin]

Bug description Interactive API Task Interface provides users with device parameter, but we do not use it in TensorFlow tutorials.

To Reproduce Prerequisites: Both types of CPU and CUDA devices working for your version of TensorFlow. You can check this condition with: tf.config.get_physical_devices(). Steps to reproduce the behavior:

1. Open any TensorFlow Interactive API tutorial (e.g., openfl-tutorials/interactive_api/TensorFlow_MNIST)
2. Open a notebook in workspace folder.
3. Run all cells.
4. All tasks execution device is based on the TensorFlow device selection policy.

Expected behavior Execution device is device from task parameters.

Environment

• OS: Ubuntu 18.04
• Python: 3.8
• TensorFlow: 2.7
• CUDA: 11.2

[aarushisoni]

Hi my name is Aarushi Soni . I want to contribute to this issue . Is this issue still open ? I am first time contributor . Please guide me through this process.

[szofar]

OpenFL_Team3 will attempt