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tensorflow allow growth Code Example
config allow growth tensorflow
config = tf.ConfigProto()
config.gpu_options.allow_growth=True
sess = tf.Session(config=config)
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))
tensorflow allow growth
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
  try:
    tf.config.experimental.set_virtual_device_configuration(
        gpus[0],
        [tf.config.experimental.VirtualDeviceConfiguration(memory_limit=1024*6)])
    logical_gpus = tf.config.experimental.list_logical_devices('GPU')
    print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
  except RuntimeError as e:
    # Virtual devices must be set before GPUs have been initialized
    print(e)




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The binary version of its metadata is 1.5.1, expected version is 1.1.15. Code Example The binary version of its metadata is 1.5.1, expected version is 1.1.15. Code Example

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