Use stable functions (#9369)
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@@ -51,10 +51,10 @@ if is_tf_available():
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for gpu in gpus:
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# Restrict TensorFlow to only allocate x GB of memory on the GPUs
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try:
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tf.config.experimental.set_virtual_device_configuration(
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gpu, [tf.config.experimental.VirtualDeviceConfiguration(memory_limit=_tf_gpu_memory_limit)]
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tf.config.set_logical_device_configuration(
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gpu, [tf.config.LogicalDeviceConfiguration(memory_limit=_tf_gpu_memory_limit)]
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)
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logical_gpus = tf.config.experimental.list_logical_devices("GPU")
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logical_gpus = tf.config.list_logical_devices("GPU")
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print("Logical GPUs", logical_gpus)
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except RuntimeError as e:
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# Virtual devices must be set before GPUs have been initialized
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