Module tfhelper.gpu.gpu
Expand source code
import tensorflow as tf
def allow_gpu_memory_growth(gpu_idx=0):
"""
Allowing GPU memory growth as Tensorflow will reserve 100% memory space for GPU.
Args:
gpu_idx (int): Index number of the target GPU
Returns:
"""
physical_devices = tf.config.list_physical_devices('GPU')
try:
tf.config.experimental.set_memory_growth(physical_devices[gpu_idx], True)
print("Success allowing gpu memory growth on {:02d} gpu device".format(gpu_idx))
except:
# Invalid device or cannot modify virtual devices once initialized.
print("Failed to allow gpu memory growth on {:02d} gpu device".format(gpu_idx))
Functions
def allow_gpu_memory_growth(gpu_idx=0)
-
Allowing GPU memory growth as Tensorflow will reserve 100% memory space for GPU.
Args
gpu_idx
:int
- Index number of the target GPU
Returns:
Expand source code
def allow_gpu_memory_growth(gpu_idx=0): """ Allowing GPU memory growth as Tensorflow will reserve 100% memory space for GPU. Args: gpu_idx (int): Index number of the target GPU Returns: """ physical_devices = tf.config.list_physical_devices('GPU') try: tf.config.experimental.set_memory_growth(physical_devices[gpu_idx], True) print("Success allowing gpu memory growth on {:02d} gpu device".format(gpu_idx)) except: # Invalid device or cannot modify virtual devices once initialized. print("Failed to allow gpu memory growth on {:02d} gpu device".format(gpu_idx))