use gpu tensorflow 2.0 code example

Example 1: config allow growth tensorflow

# Assume that you have 12GB of GPU memory and want to allocate ~4GB:
gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.333)

sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options))

Example 2: do i need do some set when i use GPU to train tensorflow model

from __future__ import absolute_import, division, print_function, unicode_literalsimport tensorflow as tfprint("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))