package tensorflow.profiler

Get desktop application:
View/edit binary Protocol Buffers messages

A 'device' is a physical entity in the system and is comprised of several resources.

Used in: Trace

• string name = 1

  The name of the device.

• uint32 device_id = 2

  The id of this device, unique in a single trace.

• map<uint32, Resource> resources = 3

  The resources on this device, keyed by resource_id;

A 'resource' generally is a specific computation component on a device. These can range from threads on CPUs to specific arithmetic units on hardware devices.

Used in: Device

• string name = 1

  The name of the resource.

• uint32 resource_id = 2

  The id of the resource. Unique within a device.

A 'Trace' contains metadata for the individual traces of a system.

• map<uint32, Device> devices = 1

  The devices that this trace has information about. Maps from device_id to more data about the specific device.

• repeated TraceEvent trace_events = 4

  All trace events capturing in the profiling period.

Used in: Trace

• uint32 device_id = 1

  The id of the device that this event occurred on. The full dataset should have this device present in the Trace object.

• uint32 resource_id = 2

  The id of the resource that this event occurred on. The full dataset should have this resource present in the Device object of the Trace object. A resource_id is unique on a specific device, but not necessarily within the trace.

• string name = 3

  The name of this trace event.

• uint64 timestamp_ps = 9

  The timestamp that this event occurred at (in picos since tracing started).

• uint64 duration_ps = 10

  The duration of the event in picoseconds if applicable. Events without duration are called instant events.

• map<string, string> args = 11

  Extra arguments that will be displayed in trace view.