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tf.config.LogicalDeviceConfiguration

Configuration class for a logical devices.

The class specifies the parameters to configure a tf.config.PhysicalDevice as it is initialized to a tf.config.LogicalDevice during runtime initialization. Not all fields are valid for all device types.

See tf.config.get_logical_device_configuration and tf.config.set_logical_device_configuration for usage examples.

Fields:

  • memory_limit: (optional) Maximum memory (in MB) to allocate on the virtual device. Currently only supported for GPUs.
  • experimental_priority: (optional) Priority to assign to a virtual device. Lower values have higher priorities and 0 is the default. Within a physical GPU, the GPU scheduler will prioritize ops on virtual devices with higher priority. Currently only supported for Nvidia GPUs.
Attributes
memory_limit
experimental_priority

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/config/LogicalDeviceConfiguration