Source code for nemo_rl.utils.fastokens
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"""Config-gated integration with the ``fastokens`` Rust-backed BPE tokenizer.
Enabling ``policy.tokenizer.use_fastokens`` monkey-patches HuggingFace
``transformers`` tokenizers with fastokens' accelerated encode/decode
implementation (~10x faster BPE encoding). The patch is idempotent — calling it
multiple times in the same process is a no-op after the first successful
application.
The config field controls this NeMo-RL-side patch when no environment override
is set. ``NRL_USE_FASTOKENS`` is the top-level NeMo-RL override and is mirrored
to ``VLLM_USE_FASTOKENS`` so vLLM workers follow the same setting. A standalone
``VLLM_USE_FASTOKENS`` setting is left for vLLM and does not control this
NeMo-RL-side patch.
See: https://github.com/Atero-ai/fast-tokens
"""
import logging
import os
logger = logging.getLogger(__name__)
_patched = False
_NRL_ENV_VAR = "NRL_USE_FASTOKENS"
_VLLM_ENV_VAR = "VLLM_USE_FASTOKENS"
[docs]
def normalize_fastokens_env() -> None:
"""Mirror NeMo-RL's fastokens override to vLLM's fastokens flag."""
nrl_value = os.environ.get(_NRL_ENV_VAR)
if nrl_value is None:
return
os.environ[_VLLM_ENV_VAR] = "1" if nrl_value == "1" else "0"
[docs]
def maybe_patch_fastokens(enabled: bool) -> None:
"""Apply the fastokens monkey-patch when enabled.
Args:
enabled: The resolved ``policy.tokenizer.use_fastokens`` config value.
The ``NRL_USE_FASTOKENS`` env var, when set, overrides this:
``"1"`` forces on, anything else forces off.
"""
global _patched
if _patched:
return
normalize_fastokens_env()
override = os.environ.get(_NRL_ENV_VAR)
if override is not None:
enabled = override == "1"
if not enabled:
return
try:
import fastokens
fastokens.patch_transformers()
_patched = True
logger.info(
"fastokens monkey-patch applied — accelerated BPE tokenization enabled"
)
except ImportError:
logger.warning("fastokens is enabled but not installed.")
except Exception:
logger.exception("Failed to apply fastokens monkey-patch")