STT-tensorflow/tensorflow/tools/api/golden/v1/tensorflow.config.experimental.-virtual-device-configuration.pbtxt
Sreeni Kesavarapu bd20260350 Implement GPU device priority for virtual devices.
- This adds a field in virtual device options to specify priority for virtual devices.
  - When the priority is specified, it will be used to create the cuda streams for the virtual device with the given priority.
  - This is backwards compatible with no priorities specified. When no priorities specified, the current implementation of creating a stream without any priority will continue while any non-zero priorities specified will be used to create streams with that priority.

PiperOrigin-RevId: 314470276
Change-Id: I4943f71e901245fb21b6f7e833adbdcd8126f1fa
2020-06-02 22:31:35 -07:00

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path: "tensorflow.config.experimental.VirtualDeviceConfiguration"
tf_class {
is_instance: "<class \'tensorflow.python.eager.context.LogicalDeviceConfiguration\'>"
is_instance: "<class \'tensorflow.python.eager.context.LogicalDeviceConfiguration\'>"
is_instance: "<type \'tuple\'>"
member {
name: "experimental_priority"
mtype: "<type \'property\'>"
}
member {
name: "memory_limit"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
}
member_method {
name: "count"
}
member_method {
name: "index"
}
}