Source code for nemo_rl.algorithms.metric_utils
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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# See the License for the specific language governing permissions and
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from __future__ import annotations
from dataclasses import asdict, dataclass, field
from typing import Any, Optional
[docs]
@dataclass
class SetupTimingMetrics:
"""Driver-side per-phase timings collected during setup."""
# grpo.py only: generation-backend init (exactly one populated per run).
vllm_init_time_s: Optional[float] = None
sglang_init_time_s: Optional[float] = None
trtllm_init_time_s: Optional[float] = None
megatron_generation_init_time_s: Optional[float] = None
# SC only: generation init (reserve + load).
generation_init_time_s: Optional[float] = None
generation_init_reserve_time_s: Optional[float] = None
generation_init_load_time_s: Optional[float] = None
policy_init_time_s: Optional[float] = None
nemo_gym_init_time_s: Optional[float] = None
collective_init_time_s: Optional[float] = None
# Non-colocated only. (grpo.py only)
parallel_wall_time_s: Optional[float] = None
parallel_init_enabled: Optional[float] = None
# grpo-only phases (non-colocated OPD teachers, sparse refit, checkpoint-engine).
teacher_reservation_time_s: Optional[float] = None
teacher_model_init_time_s: Optional[float] = None
teacher_init_time_s: Optional[float] = None
vllm_checkpoint_engine_init_time_s: Optional[float] = None
total_setup_time_s: Optional[float] = None
worker_setup_time_s: Optional[float] = None
other_setup_time_s: Optional[float] = None
# Overflow bucket for dynamic-keyed metrics (e.g. one entry per active
# sparse refit transport: vllm_<transport>_sparse_init_time_s).
extras: dict[str, float] = field(default_factory=dict)
[docs]
def to_metrics_dict(self) -> dict[str, Any]:
"""Serialize for Logger.log_metrics; drops unset (None) fields."""
base = {
k: v for k, v in asdict(self).items() if k != "extras" and v is not None
}
base.update(self.extras)
return base
[docs]
def print_setup_timing_summary(
metrics: SetupTimingMetrics, gen_init_time_key: Optional[str] = None
) -> None:
"""Print the setup-phase summary block.
Args:
metrics: Populated timing metrics.
gen_init_time_key: grpo.py passes the backend-specific field name
(e.g. "vllm_init_time_s"); SC leaves it None and the summary
reads generation_init_time_s (+ optional reserve/load split).
"""
print("\n▶ Worker Initialization Timing:")
if metrics.generation_init_reserve_time_s:
# SC + gym-on path
print(
f" Generation init: {metrics.generation_init_time_s:.1f}s"
f" (reserve {metrics.generation_init_reserve_time_s:.1f}s"
f" + load {metrics.generation_init_load_time_s:.1f}s)"
)
elif gen_init_time_key is None:
# SC + gym-off path
assert metrics.generation_init_time_s is not None
print(f" Generation init: {metrics.generation_init_time_s:.1f}s")
else:
# grpo.py path
assert metrics.generation_init_time_s is None
print(f" Generation init: {getattr(metrics, gen_init_time_key):.1f}s")
print(f" Policy init: {metrics.policy_init_time_s:.1f}s")
if metrics.nemo_gym_init_time_s:
print(f" NeMo-Gym init: {metrics.nemo_gym_init_time_s:.1f}s")
if metrics.teacher_init_time_s:
print(f" Teacher init: {metrics.teacher_init_time_s:.1f}s")
print(f" Other setup: {metrics.other_setup_time_s:.1f}s")
print(f" Total setup: {metrics.total_setup_time_s:.1f}s", flush=True)