I hope it’s not the 2nd of september 🙂

I can list gpu devices sing the following tensorflow code:
import tensorflow as tf
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())

The result is:
[name: "/

TensorFlow is an open-source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. The TensorFlow User Guide provides a detailed overview and look into using and customizing the TensorFlow deep learning framework. This guide also provides documentation on the NVIDIA TensorFlow parameters that you can use to help implement the optimizations of the container into your environment.