- tensorflow 2.X gpu 메모리 문제해결
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
# Currently, memory growth needs to be the same across GPUs
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
tf.config.per_process_gpu_memory_fraction = 0.4 #메모리 사용율 제한
#logical_gpus = tf.config.experimental.list_logical_devices('GPU')
#print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
except RuntimeError as e:
# Memory growth must be set before GPUs have been initialized
print(e)
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