Configuring Visual Studio Code | TensorFlow I/O
www.tensorflow.org › io › vscodeNov 23, 2021 · Owing to the ease of use and extension management, it is a great editor for TensorFlow IO development. However, some effort is necessary to configure it properly. Since VSCode configuration is very flexible, it allows developers to compile project using bazel and run the code under Python and C++ debuggers.
Use a GPU | TensorFlow Core
www.tensorflow.org › guide › gpuNov 11, 2021 · Use a GPU. TensorFlow code, and tf.keras models will transparently run on a single GPU with no code changes required. Note: Use tf.config.list_physical_devices ('GPU') to confirm that TensorFlow is using the GPU. The simplest way to run on multiple GPUs, on one or many machines, is using Distribution Strategies.