spinn_front_end_common.interface.profiling package

Submodules

spinn_front_end_common.interface.profiling.profile_utils module

spinn_front_end_common.interface.profiling.profile_utils.get_profile_region_size(n_samples: int) → int[source]

Get the size of the region of the profile data.

Parameters:

n_samples (int) – number of different samples to record

Returns:

the size in bytes used by the profile region

Return type:

int

spinn_front_end_common.interface.profiling.profile_utils.get_profiling_data(profile_region: int, tag_labels: Mapping[int, str], placement: Placement) → ProfileData[source]

Utility function to get profile data from a profile region.

Parameters:

  • profile_region (int) – DSG region to get profiling data out of SDRAM

  • tag_labels (list(str)) – labels for the profiling data

  • placement (Placement) – placement

Return type:

ProfileData

spinn_front_end_common.interface.profiling.profile_utils.reserve_profile_region(spec: DataSpecificationGenerator, region: int, n_samples: int)[source]

Reserves the profile region for recording the profile data.

Parameters:

  • spec (DataSpecificationGenerator) – the DSG specification writer

  • region (int) – region ID for the profile data

  • n_samples (int) – number of elements being sampled

spinn_front_end_common.interface.profiling.profile_utils.write_profile_region_data(spec: DataSpecificationGenerator, region: int, n_samples: int)[source]

Writes the profile region data.

Parameters:

  • spec (DataSpecificationGenerator) – the DSG specification writer

  • region (int) – region ID for the profile data

  • n_samples (int) – number of elements being sampled

Module contents

class spinn_front_end_common.interface.profiling.AbstractHasProfileData

Bases: object

Indicates a MachineVertex that can record a profile.

abstract get_profile_data(placement: Placement) → ProfileData[source]

Get the profile data recorded during simulation.

Parameters:

placement (Placement)

Return type:

ProfileData

class spinn_front_end_common.interface.profiling.ProfileData(tag_labels: Mapping[int, str])

Bases: object

A container for profile data.

Parameters:

tag_labels (list(str)) – A list of labels indexed by tag ID

DURATION = 1
START_TIME = 0
add_data(data: bytes)[source]

Add profiling data read from the profile section.

Parameters:

data (bytearray) – Data read from the profile section on the machine

get_mean_ms(tag: str) → float[source]

Get the mean time in milliseconds spent on operations with the given tag.

Parameters:

tag (str) – The tag to get the mean time for

Return type:

float

get_mean_ms_per_ts(tag: str) → float[source]

Get the mean time in milliseconds spent on operations with the given tag per timestep.

Parameters:

tag (str) – The tag to get the data for

Return type:

float

get_mean_n_calls_per_ts(tag: str) → float[source]

Get the mean number of times the given tag was recorded per timestep.

Parameters:

tag (str) – The tag to get the data for

Return type:

float

get_n_calls(tag: str) → int[source]

Get the number of times the given tag was recorded.

Parameters:

tag (str) – The tag to get the number of calls of

Return type:

int

property tags: Iterable[str]

The tags recorded as labels.

Return type:

list(str)