tf.profiler.experimental.ProfilerOptions | TensorFlow v2.16.1 (original) (raw)
tf.profiler.experimental.ProfilerOptions
Options for finer control over the profiler.
tf.profiler.experimental.ProfilerOptions(
host_tracer_level=2,
python_tracer_level=0,
device_tracer_level=1,
delay_ms=None
)
Use tf.profiler.experimental.ProfilerOptions to control tf.profilerbehavior.
| Fields | |
|---|---|
| host_tracer_level | Adjust CPU tracing level. Values are: 1 - critical info only, 2 - info, 3 - verbose. [default value is 2] |
| python_tracer_level | Toggle tracing of Python function calls. Values are:1 - enabled, 0 - disabled [default value is 0] |
| device_tracer_level | Adjust device (TPU/GPU) tracing level. Values are:1 - enabled, 0 - disabled [default value is 1] |
| delay_ms | Requests for all hosts to start profiling at a timestamp that isdelay_ms away from the current time. delay_ms is in milliseconds. If zero, each host will start profiling immediately upon receiving the request. Default value is None, allowing the profiler guess the best value. |
| Attributes | |
|---|---|
| host_tracer_level | A namedtuple alias for field number 0 |
| python_tracer_level | A namedtuple alias for field number 1 |
| device_tracer_level | A namedtuple alias for field number 2 |
| delay_ms | A namedtuple alias for field number 3 |
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Last updated 2024-04-26 UTC.