View source on GitHub |
Configuration class for a logical devices.
tf.config.LogicalDeviceConfiguration(
memory_limit=None, experimental_priority=None
)
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
|