test tensorflow gpu code example

Example 1: check if tensorflow gpu is installed

import tensorflow as tf
print(tf.test.gpu_device_name())

Example 2: tensorflow gpu test

# As it's written in Tensorflow documentatoin: 

import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))

Example 3: tensorflow check gpu

tf.config.list_physical_devices('GPU')

Example 4: tensorflow gpu test

tf.test.is_gpu_available(
  cuda_only=False, min_cuda_compute_capability=None
)

Example 5: python check my gpu

from tensorflow.python.client import device_lib

def get_available_gpus():
    local_device_protos = device_lib.list_local_devices()
    return [x.name for x in local_device_protos if x.device_type == 'GPU']

Example 6: tensorflow gpu test

sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))