core.telemetry.training_metrics#
Training metric instruments (megatron.training.* namespace).
Self-contained copy of the metric recording logic from nemo.lens so that Megatron-LM can emit training metrics without a hard dependency on nemo-lens.
Module Contents#
Functions#
Record training metrics to the OTel meter. |
Data#
API#
- core.telemetry.training_metrics.MEGATRON_TRAINING_STEP_DURATION_MS#
‘megatron.training.step_duration_ms’
- core.telemetry.training_metrics.MEGATRON_TRAINING_LOSS#
‘megatron.training.loss’
- core.telemetry.training_metrics.MEGATRON_TRAINING_THROUGHPUT_TFLOPS#
‘megatron.training.throughput_tflops’
- core.telemetry.training_metrics.MEGATRON_TRAINING_GRAD_NORM#
‘megatron.training.grad_norm’
- core.telemetry.training_metrics.MEGATRON_TRAINING_SKIPPED_ITERS#
‘megatron.training.skipped_iters’
- core.telemetry.training_metrics.MEGATRON_TRAINING_LEARNING_RATE#
‘megatron.training.learning_rate’
- core.telemetry.training_metrics.MEGATRON_TRAINING_TOKENS_PER_SEC#
‘megatron.training.tokens_per_sec’
- core.telemetry.training_metrics.MEGATRON_TRAINING_MEMORY_ALLOCATED_GB#
‘megatron.training.memory_allocated_gb’
- core.telemetry.training_metrics._logger#
‘getLogger(…)’
- core.telemetry.training_metrics._TRAINING_INSTRUMENTS: weakref.WeakKeyDictionary#
‘WeakKeyDictionary(…)’
- core.telemetry.training_metrics._get_training_instruments(meter) dict#
- core.telemetry.training_metrics.record_training_metrics(
- meter,
- step_duration_ms: float | None = None,
- loss: float | None = None,
- throughput_tflops: float | None = None,
- grad_norm: float | None = None,
- skipped_iters: int | None = None,
- learning_rate: float | None = None,
- tokens_per_sec: float | None = None,
- memory_allocated_gb: float | None = None,
Record training metrics to the OTel meter.
All arguments are optional;
Nonevalues are silently skipped. Safe to call when telemetry is disabled (meter is no-op).If
opentelemetryis not installed, this function is a no-op.