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Add citation - #15

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Signed-off-by: Ryan Wolf <rywolf@nvidia.com>
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ryantwolf marked this pull request as ready for review March 26, 2024 17:52
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ryantwolf requested a review from ayushdg March 26, 2024 17:52
Signed-off-by: Ryan Wolf <rywolf@nvidia.com>
@ryantwolf
ryantwolf merged commit fc167a6 into main Mar 26, 2024
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ryantwolf deleted the rywolf/citations branch March 26, 2024 18:07
jnke2016 pushed a commit to jnke2016/Curator that referenced this pull request Nov 12, 2025
* Add citation

Signed-off-by: Ryan Wolf <rywolf@nvidia.com>

* Remove autofix due to DCO

Signed-off-by: Ryan Wolf <rywolf@nvidia.com>

---------

Signed-off-by: Ryan Wolf <rywolf@nvidia.com>
@greptile-apps greptile-apps Bot mentioned this pull request Feb 11, 2026
nune-tadevosyan pushed a commit to nune-tadevosyan/Curator that referenced this pull request May 26, 2026
…pipeline-resume

Fix shard count and .done resume for output folder with text pipeline
mohammadaaftabv added a commit to mohammadaaftabv/Curator that referenced this pull request Jun 11, 2026
…ng, perf per-actor/per-GPU, reader/writer hardening

Adapters + inference co-location (review #3/NVIDIA-NeMo#25):
- Move nemo_curator/adapters/asr/* -> stages/audio/inference/asr/adapters/*
- Move stages/inference/{batch_policy,bucketed_stage}.py -> stages/audio/inference/
- Update all imports, YAML adapter_target / batch_policy._target_, READMEs, tests
  (tests mirror the new package paths).

vLLM teardown (review NVIDIA-NeMo#15):
- _cleanup_gpu() no longer calls torch.distributed.destroy_process_group(); vLLM
  owns its TP group, so tearing down the global PG could corrupt other components.

Tutorial backend (review NVIDIA-NeMo#30):
- Default backend -> ray_data (YAML + main.py); trim the "Choosing a Backend" section.
- Drop tutorial test tests/tutorials/.../test_main_resources.py (review NVIDIA-NeMo#28).

Performance reporting:
- Unify metrics into a single per_actor block keyed by actor_id; GPU actors embed
  physical_address (host_ip:indices, now the canonical per-GPU key), gpu_indices/
  gpu_uuids, and per-GPU utilization percentiles (nested gpus map).
- Add first-class StagePerfStats.invocation_id for exact dedup; __add__ preserves
  identity only within the same worker.
- Add inference_compute_fraction (inference time / total process time).
- New GpuUtilSampler (NVML, bounded deque + lock); harden _collect_gpu_uuids to map
  physical indices -> visible ordinals under CUDA_VISIBLE_DEVICES.
- Remove per-shard <output_dir>/<shard_key>_perf.jsonl output.

Reader (nemo_tarred_reader):
- Collision-safe _ManifestIndex (exact path, then longest path-suffix; ambiguous
  basenames resolve to no-match).
- Enforce max_duration_s against decoded audio duration; narrow decode except to
  audio errors; write .done for empty/fully-filtered shards.

Writer (sharded_manifest_writer):
- Batch manifest writes per shard instead of per-utterance open/close.

Misc:
- Remove redundant super().setup_on_node() in RayActorPoolStageAdapter.__init__
  (executor already runs once-per-node setup).
- Fix stale docstring (disfluency_text_key); drop bucketize redundancy; trim
  adapter duplicate volume math; reduce comment verbosity across PR files.

Signed-off-by: Aaftab V <aaftabv@nvidia.com>
mohammadaaftabv added a commit to mohammadaaftabv/Curator that referenced this pull request Jul 8, 2026
…ng, perf per-actor/per-GPU, reader/writer hardening

Adapters + inference co-location (review #3/NVIDIA-NeMo#25):
- Move nemo_curator/adapters/asr/* -> stages/audio/inference/asr/adapters/*
- Move stages/inference/{batch_policy,bucketed_stage}.py -> stages/audio/inference/
- Update all imports, YAML adapter_target / batch_policy._target_, READMEs, tests
  (tests mirror the new package paths).

vLLM teardown (review NVIDIA-NeMo#15):
- _cleanup_gpu() no longer calls torch.distributed.destroy_process_group(); vLLM
  owns its TP group, so tearing down the global PG could corrupt other components.

Tutorial backend (review NVIDIA-NeMo#30):
- Default backend -> ray_data (YAML + main.py); trim the "Choosing a Backend" section.
- Drop tutorial test tests/tutorials/.../test_main_resources.py (review NVIDIA-NeMo#28).

Performance reporting:
- Unify metrics into a single per_actor block keyed by actor_id; GPU actors embed
  physical_address (host_ip:indices, now the canonical per-GPU key), gpu_indices/
  gpu_uuids, and per-GPU utilization percentiles (nested gpus map).
- Add first-class StagePerfStats.invocation_id for exact dedup; __add__ preserves
  identity only within the same worker.
- Add inference_compute_fraction (inference time / total process time).
- New GpuUtilSampler (NVML, bounded deque + lock); harden _collect_gpu_uuids to map
  physical indices -> visible ordinals under CUDA_VISIBLE_DEVICES.
- Remove per-shard <output_dir>/<shard_key>_perf.jsonl output.

Reader (nemo_tarred_reader):
- Collision-safe _ManifestIndex (exact path, then longest path-suffix; ambiguous
  basenames resolve to no-match).
- Enforce max_duration_s against decoded audio duration; narrow decode except to
  audio errors; write .done for empty/fully-filtered shards.

Writer (sharded_manifest_writer):
- Batch manifest writes per shard instead of per-utterance open/close.

Misc:
- Remove redundant super().setup_on_node() in RayActorPoolStageAdapter.__init__
  (executor already runs once-per-node setup).
- Fix stale docstring (disfluency_text_key); drop bucketize redundancy; trim
  adapter duplicate volume math; reduce comment verbosity across PR files.

Signed-off-by: Aaftab V <aaftabv@nvidia.com>
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2 participants