stormlog.tensorflow.diagnose

Diagnostic bundle builder for the TensorFlow Stormlog diagnose command.

Functions

build_diagnostic_summary([device])	Build diagnostic summary and risk flags from current state.
collect_environment([device])	Collect system and GPU data for the diagnostic bundle.
run_diagnose(output, device, duration, ...)	Build the full diagnostic bundle and write all artifact files.
run_timeline_capture(device, ...)	Run tracker for the given duration and return timeline data.

stormlog.tensorflow.diagnose.collect_environment(device=None)

Collect system and GPU data for the diagnostic bundle.

Parameters:

device (str | None)

Return type:

Dict[str, Any]

stormlog.tensorflow.diagnose.run_timeline_capture(device, duration_seconds, interval)

Run tracker for the given duration and return timeline data. Returns empty timeline if duration_seconds <= 0 or on error.

Parameters:

• device (str | None)

• duration_seconds (float)

• interval (float)

Return type:

Dict[str, List[float]]

stormlog.tensorflow.diagnose.build_diagnostic_summary(device=None)

Build diagnostic summary and risk flags from current state. Returns (summary_dict, risk_detected).

Parameters:

device (str | None)

Return type:

Tuple[Dict[str, Any], bool]

stormlog.tensorflow.diagnose.run_diagnose(output, device, duration, interval, command_line)

Build the full diagnostic bundle and write all artifact files. Returns (artifact_dir, exit_code). exit_code: 0 = success no risk, 1 = failure, 2 = success with memory risk.

Parameters:

• output (str | None)

• device (str | None)

• duration (float)

• interval (float)

• command_line (str)

Return type:

Tuple[Path, int]