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latency-profiles
latency-sensitive-bench
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Caesarrr commited on
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ad93b32
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1 Parent(s): 1ae69f9

Organize existing sim2real calibration record

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  1. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/DONE +0 -0
  2. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/actions.jsonl +0 -0
  3. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/queue_eval_latency_measured.json +21 -0
  4. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/queue_eval_results.jsonl +1 -0
  5. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/realtime_pipeline_profile.jsonl +0 -0
  6. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/realtime_pipeline_summary.json +138 -0
  7. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/stdout.log +224 -0
  8. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/steps.jsonl +0 -0
  9. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/warmup_latencies.jsonl +100 -0
  10. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/warmup_pipeline_profile.jsonl +100 -0
  11. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/warmup_summary.json +126 -0
  12. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/DONE +0 -0
  13. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/actions.jsonl +0 -0
  14. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/queue_eval_latency_measured.json +21 -0
  15. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/queue_eval_results.jsonl +1 -0
  16. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/realtime_pipeline_profile.jsonl +0 -0
  17. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/realtime_pipeline_summary.json +138 -0
  18. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/stdout.log +223 -0
  19. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/steps.jsonl +0 -0
  20. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/warmup_latencies.jsonl +100 -0
  21. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/warmup_pipeline_profile.jsonl +100 -0
  22. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/warmup_summary.json +126 -0
  23. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/DONE +0 -0
  24. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/actions.jsonl +0 -0
  25. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/queue_eval_latency_measured.json +21 -0
  26. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/queue_eval_results.jsonl +1 -0
  27. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/realtime_pipeline_profile.jsonl +0 -0
  28. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/realtime_pipeline_summary.json +138 -0
  29. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/stdout.log +223 -0
  30. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/steps.jsonl +0 -0
  31. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/warmup_latencies.jsonl +100 -0
  32. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/warmup_pipeline_profile.jsonl +100 -0
  33. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/warmup_summary.json +126 -0
  34. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/DONE +0 -0
  35. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/actions.jsonl +0 -0
  36. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/queue_eval_latency_measured.json +21 -0
  37. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/queue_eval_results.jsonl +1 -0
  38. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/realtime_pipeline_profile.jsonl +0 -0
  39. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/realtime_pipeline_summary.json +138 -0
  40. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/stdout.log +223 -0
  41. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/steps.jsonl +0 -0
  42. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/warmup_latencies.jsonl +100 -0
  43. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/warmup_pipeline_profile.jsonl +100 -0
  44. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/warmup_summary.json +126 -0
  45. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/12/DONE +0 -0
  46. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/12/actions.jsonl +0 -0
  47. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/12/queue_eval_latency_measured.json +21 -0
  48. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/12/queue_eval_results.jsonl +1 -0
  49. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/12/realtime_pipeline_profile.jsonl +0 -0
  50. experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/12/realtime_pipeline_summary.json +138 -0
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/DONE ADDED
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/actions.jsonl ADDED
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/queue_eval_latency_measured.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "checkpoint_kind": "best",
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+ "checkpoint_path": "/workspace/hf/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/checkpoints/model.pt",
4
+ "experiment_name": "flappy-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32",
5
+ "latency": "measured",
6
+ "latency_type": "measured",
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+ "lengths": [
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+ 688,
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+ 1716
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+ ],
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+ "mean_length": 1202.0,
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+ "mean_return": 146.54999999999674,
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+ "returns": [
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+ 82.99999999999959,
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+ 210.09999999999388
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+ ],
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+ "seed": 2000000,
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+ "std_return": 63.54999999999715,
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+ "suite_name": "measured",
20
+ "timestamp_utc": "2026-10-01T18:15:47.835310+00:00"
21
+ }
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/queue_eval_results.jsonl ADDED
@@ -0,0 +1 @@
 
 
1
+ {"checkpoint_kind": "best", "checkpoint_path": "/workspace/hf/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/checkpoints/model.pt", "experiment_name": "flappy-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32", "latency": "measured", "latency_type": "measured", "lengths": [688, 1716], "mean_length": 1202.0, "mean_return": 146.54999999999674, "returns": [82.99999999999959, 210.09999999999388], "seed": 2000000, "std_return": 63.54999999999715, "suite_name": "measured", "timestamp_utc": "2026-10-01T18:15:47.835310+00:00"}
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/realtime_pipeline_profile.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/realtime_pipeline_summary.json ADDED
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1
+ {
2
+ "bench_overhead_ms": {
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+ "count": 1200,
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+ "max": 3.203531265258789,
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+ "mean": 2.059918435414632,
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+ "p50": 2.0773868560791016,
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+ },
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+ "inference_latency_ms": {
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+ "count": 1200,
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+ "max": 136.049160733819,
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+ "mean": 126.9221678422764,
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+ "p50": 126.55528448522091,
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+ "p90": 128.13555635511875
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+ },
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+ "num_profiled_actions": 1200,
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+ "stages": {
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+ "env_action_recv_to_enqueue_ms": {
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+ "count": 1200,
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+ "max": 0.2473926544189453,
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+ "mean": 0.08221326351165771,
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+ },
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+ "env_observe_ms": {
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+ "count": 1200,
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+ "max": 0.34343719482421875,
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+ "p50": 0.09310340881347656,
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+ "p90": 0.11092567443847656
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+ },
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+ "env_scheduler_update_ms": {
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+ "count": 1200,
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+ "max": 0.06636428833007812,
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+ "mean": 0.018978668848673504,
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+ "p50": 0.018445968627929688,
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+ "p90": 0.020660400390625
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+ },
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+ "env_step_ms": {
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+ "count": 1200,
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+ "max": 22.157976150512695,
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+ "mean": 11.769567243258159,
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+ "p50": 11.528980255126953,
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+ "p90": 11.884712219238281
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+ },
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+ "env_to_parent_ipc_ms": {
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+ "count": 1200,
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+ "max": 0.4113922119140625,
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+ "mean": 0.19711941242218017,
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+ "p50": 0.19555282592773438,
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+ "p90": 0.21746444702148438
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+ },
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+ "env_wall_lag_ms": {
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+ "count": 1200,
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+ "max": 1.1031331148187746,
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+ "mean": 0.5939264317161567,
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+ "p50": 0.6017926910717506,
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+ "p90": 1.012192253894682
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+ },
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+ "parent_observation_handle_ms": {
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+ "count": 1200,
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+ "max": 0.7100315093994141,
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+ "mean": 0.36441305160522464,
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+ "p50": 0.3641357421875,
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+ "p90": 0.4029369354248047
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+ },
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+ "parent_release_ms": {
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+ "count": 1200,
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+ "max": 0.06223487854003906,
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+ "mean": 0.022556358973185222,
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+ "p50": 0.02123260498046875,
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+ },
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+ "parent_to_env_ipc_ms": {
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+ "count": 1200,
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+ "max": 0.2864227294921875,
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+ "mean": 0.11422675609588623,
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+ "p50": 0.10734367370605469,
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+ "p90": 0.1252307891845703
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+ },
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+ "parent_to_worker_ipc_ms": {
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+ "count": 1200,
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+ "max": 0.6300811767578125,
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+ "mean": 0.2844240188598633,
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+ "p50": 0.2731151580810547,
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+ },
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+ "policy_build_example_ms": {
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+ "count": 1200,
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+ "max": 4.039224237203598,
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+ "policy_decode_ms": {
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+ "count": 1200,
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+ "max": 0.09551085531711578,
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+ "p50": 0.03295578062534332,
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+ },
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+ "policy_wrapper_predict_action_ms": {
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+ "count": 1200,
104
+ "max": 133.0071333795786,
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+ "mean": 124.07052618296196,
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+ "p50": 123.70669282972813,
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+ "p90": 125.24022348225117
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+ },
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+ "worker_observation_attach_ms": {
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+ "count": 1200,
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+ "max": 0.3031940460205078,
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+ "mean": 0.11682684739430746,
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+ "p50": 0.11120414733886719,
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+ "p90": 0.13848495483398438
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+ },
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+ "worker_observation_localize_ms": {
117
+ "count": 1200,
118
+ "max": 0.4697074890136719,
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+ "mean": 0.10658444404602051,
120
+ "p50": 0.10019111633300781,
121
+ "p90": 0.12423896789550781
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+ },
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+ "worker_recv_overhead_ms": {
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+ "count": 1200,
125
+ "max": 0.3121147155761719,
126
+ "mean": 0.12517385800679526,
127
+ "p50": 0.11923789978027344,
128
+ "p90": 0.14916038513183594
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+ },
130
+ "worker_to_parent_ipc_ms": {
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+ "count": 1200,
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+ "max": 1.4349784851074219,
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+ "mean": 0.7544115861256917,
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+ }
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+ }
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+ }
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/stdout.log ADDED
@@ -0,0 +1,224 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [bench] run=flappy-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32 sweeps=1 episodes_per_sweep=2 total_episode_runs=2
2
+ [bench] sweep 1/1: eval_latency=measured
3
+ /venv/sim2real/lib/python3.10/site-packages/pygame/pkgdata.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
4
+ from pkg_resources import resource_stream, resource_exists
5
+ /venv/sim2real/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
6
+ check_for_updates()
7
+ 10/01 [18:11:23] INFO | >> Loaded mixtures from Behavior registry.py:113
8
+ (data_config): ['BEHAVIOR_challenge']
9
+ INFO | >> Loaded data_config from DOMINO: registry.py:107
10
+ ['robotwin']
11
+ INFO | >> Loaded embodiment_tags from registry.py:110
12
+ DOMINO (data_config): []
13
+ INFO | >> Loaded mixtures from DOMINO registry.py:113
14
+ (data_config): ['domino',
15
+ 'domino_clean', 'domino_random',
16
+ 'domino_cotrain']
17
+ INFO | >> Loaded data_config from Franka: registry.py:107
18
+ ['custom_robot_config',
19
+ 'demo_sim_franka_delta_joints',
20
+ 'SO101']
21
+ INFO | >> Loaded embodiment_tags from registry.py:110
22
+ Franka (data_config): []
23
+ INFO | >> Loaded mixtures from Franka registry.py:113
24
+ (data_config): ['custom_dataset',
25
+ 'custom_dataset_2',
26
+ 'demo_sim_pick_place', 'SO101_pick']
27
+ INFO | >> Loaded data_config from LIBERO: registry.py:107
28
+ ['libero_franka']
29
+ INFO | >> Loaded embodiment_tags from registry.py:110
30
+ LIBERO (data_config): []
31
+ INFO | >> Loaded mixtures from LIBERO registry.py:113
32
+ (data_config): ['libero_all',
33
+ 'libero_goal', 'multi_robot']
34
+ INFO | >> Loaded data_config from MIKASA: registry.py:107
35
+ ['mikasa_franka_h1']
36
+ INFO | >> Loaded embodiment_tags from registry.py:110
37
+ MIKASA (data_config):
38
+ ['mikasa_franka_h1']
39
+ INFO | >> Loaded mixtures from MIKASA registry.py:113
40
+ (data_config):
41
+ ['local/intercept_grab_fast_vla_v0_h1_
42
+ train']
43
+ INFO | >> Loaded data_config from registry.py:107
44
+ RoboChallenge_table30v2:
45
+ ['ur5_robochallenge',
46
+ 'arx5_robochallenge',
47
+ 'dosw1_robochallenge']
48
+ INFO | >> Loaded embodiment_tags from registry.py:110
49
+ RoboChallenge_table30v2 (data_config):
50
+ ['ur5_robochallenge',
51
+ 'arx5_robochallenge',
52
+ 'dosw1_robochallenge']
53
+ INFO | >> Loaded mixtures from registry.py:113
54
+ RoboChallenge_table30v2 (data_config):
55
+ ['robochallenge_table30v2_shred_paper'
56
+ , 'robochallenge_table30v2_ur5_all',
57
+ 'robochallenge_table30v2_arx5_all',
58
+ 'robochallenge_table30v2_dosw1_all']
59
+ INFO | >> Loaded data_config from registry.py:107
60
+ Robocasa_365:
61
+ ['panda_omron_robocasa365']
62
+ INFO | >> Loaded embodiment_tags from registry.py:110
63
+ Robocasa_365 (data_config): []
64
+ INFO | >> Loaded mixtures from registry.py:113
65
+ Robocasa_365 (data_config):
66
+ ['robocasa365_open_drawer_target_human
67
+ ',
68
+ 'robocasa365_atomic_target_human_all',
69
+ 'robocasa365_composite_target_human_al
70
+ l', 'robocasa365_target_human_all']
71
+ INFO | >> Loaded data_config from registry.py:107
72
+ Robocasa_tabletop:
73
+ ['fourier_gr1_arms_waist']
74
+ INFO | >> Loaded embodiment_tags from registry.py:110
75
+ Robocasa_tabletop (data_config): []
76
+ INFO | >> Loaded mixtures from registry.py:113
77
+ Robocasa_tabletop (data_config):
78
+ ['fourier_gr1_unified_1000']
79
+ INFO | >> Loaded data_config from registry.py:107
80
+ Robotwin: ['robotwin', 'robotwin50',
81
+ 'arx_x5']
82
+ INFO | >> Loaded embodiment_tags from registry.py:110
83
+ Robotwin (data_config): []
84
+ INFO | >> Loaded mixtures from Robotwin registry.py:113
85
+ (data_config): ['robotwin_all',
86
+ 'robotwin_all_50', 'robotwin',
87
+ 'robotwin_task1', 'robotwin_task2',
88
+ 'arx_x5']
89
+ INFO | >> Loaded data_config from registry.py:107
90
+ SimplerEnv: ['oxe_droid',
91
+ 'oxe_bridge', 'oxe_rt1']
92
+ INFO | >> Loaded embodiment_tags from registry.py:110
93
+ SimplerEnv (data_config): []
94
+ INFO | >> Loaded mixtures from SimplerEnv registry.py:113
95
+ (data_config): ['bridge',
96
+ 'bridge_rt_1']
97
+ INFO | >> Loaded data_config from registry.py:107
98
+ VLA-Arena: ['vla_arena_franka']
99
+ INFO | >> Loaded embodiment_tags from registry.py:110
100
+ VLA-Arena (data_config): []
101
+ INFO | >> Loaded mixtures from VLA-Arena registry.py:113
102
+ (data_config): ['vla_arena_L0_S',
103
+ 'vla_arena_L0_M', 'vla_arena_L0_L']
104
+ INFO | >> Loaded data_config from registry.py:107
105
+ rl_games: ['rl_games_flappy',
106
+ 'rl_games_demon_attack',
107
+ 'rl_games_defend_the_line',
108
+ 'rl_games_deadly_corridor',
109
+ 'rl_games_asterix',
110
+ 'rl_games_atlantis',
111
+ 'rl_games_gymnasium',
112
+ 'rl_games_gymnasium_discrete',
113
+ 'rl_games_gymnasium_native']
114
+ INFO | >> Loaded embodiment_tags from registry.py:110
115
+ rl_games (data_config):
116
+ ['rl_games_flappy',
117
+ 'rl_games_demon_attack',
118
+ 'rl_games_defend_the_line',
119
+ 'rl_games_deadly_corridor',
120
+ 'rl_games_asterix',
121
+ 'rl_games_atlantis',
122
+ 'rl_games_gymnasium',
123
+ 'rl_games_gymnasium_discrete',
124
+ 'rl_games_gymnasium_native']
125
+ INFO | >> Loaded mixtures from rl_games registry.py:113
126
+ (data_config): ['flappy_train',
127
+ 'flappy_train__bridge',
128
+ 'flappy_mixed_latency_train',
129
+ 'flappy_mixed_latency_train__bridge',
130
+ 'demon_attack_train',
131
+ 'demon_attack_train__bridge',
132
+ 'demon_attack_mixed_latency_train',
133
+ 'demon_attack_mixed_latency_train__bri
134
+ dge', 'defend_the_line_train',
135
+ 'defend_the_line_train__bridge',
136
+ 'defend_the_line_mixed_latency_train',
137
+ 'defend_the_line_mixed_latency_train__
138
+ bridge', 'deadly_corridor_train',
139
+ 'deadly_corridor_train__bridge',
140
+ 'deadly_corridor_mixed_latency_train',
141
+ 'deadly_corridor_mixed_latency_train__
142
+ bridge', 'asterix_train',
143
+ 'asterix_train__bridge',
144
+ 'asterix_mixed_latency_train',
145
+ 'asterix_mixed_latency_train__bridge',
146
+ 'atlantis_train',
147
+ 'atlantis_train__bridge',
148
+ 'atlantis_mixed_latency_train',
149
+ 'atlantis_mixed_latency_train__bridge'
150
+ , 'h1hand_balance_hard']
151
+ INFO | >> PolicyServerWrapper: loading policy_wrapper.py:73
152
+ framework from
153
+ /workspace/hf/hub/models--latency
154
+ -sensitive-bench--benchmark-model
155
+ s/snapshots/180da0effdaaaeacef218
156
+ cf5fbaa4db41af67495/latency-aware
157
+ /flappy/vla/starvla-qwengr00t-h1/
158
+ flappy-qwengr00t-hist8-scratch-s4
159
+ 2-v2/checkpoints/model.pt
160
+ INFO | >> [*] Loading from local share_tools.py:418
161
+ checkpoint path
162
+ `/workspace/hf/hub/models--latency-
163
+ sensitive-bench--benchmark-models/s
164
+ napshots/180da0effdaaaeacef218cf5fb
165
+ aa4db41af67495/latency-aware/flappy
166
+ /vla/starvla-qwengr00t-h1/flappy-qw
167
+ engr00t-hist8-scratch-s42-v2/checkp
168
+ oints/model.pt`
169
+ [QWen3] loading /workspace/hf/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 with gradient_checkpointing=True
170
+
171
+ [QWen3] gradient_checkpointing ENABLED (use_reentrant=False, active=True, text_use_cache=False)
172
+ Total number of DiT parameters: 157032448
173
+ 10/01 [18:11:41] INFO | >> [*] Loading from local share_tools.py:418
174
+ checkpoint path
175
+ `/workspace/hf/hub/models--latency-
176
+ sensitive-bench--benchmark-models/s
177
+ napshots/180da0effdaaaeacef218cf5fb
178
+ aa4db41af67495/latency-aware/flappy
179
+ /vla/starvla-qwengr00t-h1/flappy-qw
180
+ engr00t-hist8-scratch-s42-v2/checkp
181
+ oints/model.pt`
182
+ INFO | >> [*] Loading from local share_tools.py:418
183
+ checkpoint path
184
+ `/workspace/hf/hub/models--latency-
185
+ sensitive-bench--benchmark-models/s
186
+ napshots/180da0effdaaaeacef218cf5fb
187
+ aa4db41af67495/latency-aware/flappy
188
+ /vla/starvla-qwengr00t-h1/flappy-qw
189
+ engr00t-hist8-scratch-s42-v2/checkp
190
+ oints/model.pt`
191
+ INFO | >> [*] Loading from local share_tools.py:418
192
+ checkpoint path
193
+ `/workspace/hf/hub/models--latency-
194
+ sensitive-bench--benchmark-models/s
195
+ napshots/180da0effdaaaeacef218cf5fb
196
+ aa4db41af67495/latency-aware/flappy
197
+ /vla/starvla-qwengr00t-h1/flappy-qw
198
+ engr00t-hist8-scratch-s42-v2/checkp
199
+ oints/model.pt`
200
+ INFO | >> PolicyNormProcessor policy_norm_processor.py:333
201
+ ready:
202
+ robot_type=rl_games_flapp
203
+ y,
204
+ unnorm_key=new_embodiment
205
+ ,
206
+ action_keys=['action.butt
207
+ on'] (dims=[2]),
208
+ state_keys=['state.game_s
209
+ tate']
210
+ INFO | >> PolicyServerWrapper ready: policy_wrapper.py:126
211
+ action_chunk_size=1,
212
+ default_unnorm_key=new_embodimen
213
+ t,
214
+ available_unnorm_keys=['new_embo
215
+ diment'],
216
+ action_keys=['action.button'],
217
+ state_keys=['state.game_state']
218
+ WARNING: realtime pipeline warmup did not stabilize; inspect /workspace/flappy-completion-20261002/acquisition/qwengr00t/20261001T162708945369Z/real/0.
219
+ [bench] sweep 1/1 episode 1/2 done
220
+ [bench] sweep 1/1 episode 2/2 done
221
+ [bench] sweep 1/1 complete elapsed=274.7s
222
+ episode=0 return=83.000 steps=688 mean_latency_ms=127.05806956107867
223
+ episode=1 return=210.100 steps=1716 mean_latency_ms=126.86777543906848
224
+ summary latency=measured episodes=2 mean_return=146.550 std_return=63.550 mean_length=1202.0
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/steps.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/warmup_latencies.jsonl ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"device": "cuda:0", "end_wall_time": 10834013.621877054, "gpu_class": null, "inference_ms": 533.5817001760006, "instance_id": null, "latency_ms": 533.5817001760006, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 0, "source_run_id": null, "start_wall_time": 10834013.088295354, "workload_id": null}
2
+ {"device": "cuda:0", "end_wall_time": 10834013.7646805, "gpu_class": null, "inference_ms": 128.92251834273338, "instance_id": null, "latency_ms": 128.92251834273338, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 1, "source_run_id": null, "start_wall_time": 10834013.63575798, "workload_id": null}
3
+ {"device": "cuda:0", "end_wall_time": 10834013.903049717, "gpu_class": null, "inference_ms": 126.46996043622494, "instance_id": null, "latency_ms": 126.46996043622494, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 2, "source_run_id": null, "start_wall_time": 10834013.776579756, "workload_id": null}
4
+ {"device": "cuda:0", "end_wall_time": 10834014.040820625, "gpu_class": null, "inference_ms": 126.29616260528564, "instance_id": null, "latency_ms": 126.29616260528564, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 3, "source_run_id": null, "start_wall_time": 10834013.914524462, "workload_id": null}
5
+ {"device": "cuda:0", "end_wall_time": 10834014.184788669, "gpu_class": null, "inference_ms": 125.68346038460732, "instance_id": null, "latency_ms": 125.68346038460732, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 4, "source_run_id": null, "start_wall_time": 10834014.059105208, "workload_id": null}
6
+ {"device": "cuda:0", "end_wall_time": 10834014.337513337, "gpu_class": null, "inference_ms": 133.11327248811722, "instance_id": null, "latency_ms": 133.11327248811722, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 5, "source_run_id": null, "start_wall_time": 10834014.204400064, "workload_id": null}
7
+ {"device": "cuda:0", "end_wall_time": 10834014.484846072, "gpu_class": null, "inference_ms": 127.80163250863552, "instance_id": null, "latency_ms": 127.80163250863552, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 6, "source_run_id": null, "start_wall_time": 10834014.35704444, "workload_id": null}
8
+ {"device": "cuda:0", "end_wall_time": 10834014.629576499, "gpu_class": null, "inference_ms": 125.46705640852451, "instance_id": null, "latency_ms": 125.46705640852451, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 7, "source_run_id": null, "start_wall_time": 10834014.504109442, "workload_id": null}
9
+ {"device": "cuda:0", "end_wall_time": 10834014.795492057, "gpu_class": null, "inference_ms": 141.6743528097868, "instance_id": null, "latency_ms": 141.6743528097868, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 8, "source_run_id": null, "start_wall_time": 10834014.653817704, "workload_id": null}
10
+ {"device": "cuda:0", "end_wall_time": 10834014.943063958, "gpu_class": null, "inference_ms": 129.8083197325468, "instance_id": null, "latency_ms": 129.8083197325468, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 9, "source_run_id": null, "start_wall_time": 10834014.813255638, "workload_id": null}
11
+ {"device": "cuda:0", "end_wall_time": 10834015.092640769, "gpu_class": null, "inference_ms": 127.5813914835453, "instance_id": null, "latency_ms": 127.5813914835453, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 10, "source_run_id": null, "start_wall_time": 10834014.965059377, "workload_id": null}
12
+ {"device": "cuda:0", "end_wall_time": 10834015.239338564, "gpu_class": null, "inference_ms": 125.41787512600422, "instance_id": null, "latency_ms": 125.41787512600422, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 11, "source_run_id": null, "start_wall_time": 10834015.113920689, "workload_id": null}
13
+ {"device": "cuda:0", "end_wall_time": 10834015.38421826, "gpu_class": null, "inference_ms": 124.67001378536224, "instance_id": null, "latency_ms": 124.67001378536224, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 12, "source_run_id": null, "start_wall_time": 10834015.259548247, "workload_id": null}
14
+ {"device": "cuda:0", "end_wall_time": 10834015.540257052, "gpu_class": null, "inference_ms": 134.97366197407246, "instance_id": null, "latency_ms": 134.97366197407246, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 13, "source_run_id": null, "start_wall_time": 10834015.40528339, "workload_id": null}
15
+ {"device": "cuda:0", "end_wall_time": 10834015.678309504, "gpu_class": null, "inference_ms": 123.04483540356159, "instance_id": null, "latency_ms": 123.04483540356159, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 14, "source_run_id": null, "start_wall_time": 10834015.555264669, "workload_id": null}
16
+ {"device": "cuda:0", "end_wall_time": 10834015.816746145, "gpu_class": null, "inference_ms": 125.06313808262348, "instance_id": null, "latency_ms": 125.06313808262348, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 15, "source_run_id": null, "start_wall_time": 10834015.691683007, "workload_id": null}
17
+ {"device": "cuda:0", "end_wall_time": 10834015.963328691, "gpu_class": null, "inference_ms": 134.00191999971867, "instance_id": null, "latency_ms": 134.00191999971867, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 16, "source_run_id": null, "start_wall_time": 10834015.829326771, "workload_id": null}
18
+ {"device": "cuda:0", "end_wall_time": 10834016.124018116, "gpu_class": null, "inference_ms": 125.82661211490631, "instance_id": null, "latency_ms": 125.82661211490631, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 17, "source_run_id": null, "start_wall_time": 10834015.998191504, "workload_id": null}
19
+ {"device": "cuda:0", "end_wall_time": 10834016.265456036, "gpu_class": null, "inference_ms": 123.80372360348701, "instance_id": null, "latency_ms": 123.80372360348701, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 18, "source_run_id": null, "start_wall_time": 10834016.141652312, "workload_id": null}
20
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+ {"device": "cuda:0", "end_wall_time": 10834018.059983114, "gpu_class": null, "inference_ms": 131.6282171756029, "instance_id": null, "latency_ms": 131.6282171756029, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 30, "source_run_id": null, "start_wall_time": 10834017.928354897, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10834018.516370246, "gpu_class": null, "inference_ms": 130.4626502096653, "instance_id": null, "latency_ms": 130.4626502096653, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 33, "source_run_id": null, "start_wall_time": 10834018.385907596, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10834018.973142479, "gpu_class": null, "inference_ms": 130.6249350309372, "instance_id": null, "latency_ms": 130.6249350309372, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 36, "source_run_id": null, "start_wall_time": 10834018.842517544, "workload_id": null}
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70
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71
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72
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85
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86
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/0/warmup_pipeline_profile.jsonl ADDED
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/DONE ADDED
File without changes
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/actions.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/queue_eval_latency_measured.json ADDED
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/queue_eval_results.jsonl ADDED
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1
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/realtime_pipeline_profile.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/realtime_pipeline_summary.json ADDED
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1
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+ }
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/stdout.log ADDED
@@ -0,0 +1,223 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [bench] run=flappy-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32 sweeps=1 episodes_per_sweep=2 total_episode_runs=2
2
+ [bench] sweep 1/1: eval_latency=measured
3
+ /venv/sim2real/lib/python3.10/site-packages/pygame/pkgdata.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
4
+ from pkg_resources import resource_stream, resource_exists
5
+ /venv/sim2real/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
6
+ check_for_updates()
7
+ 10/01 [18:15:59] INFO | >> Loaded mixtures from Behavior registry.py:113
8
+ (data_config): ['BEHAVIOR_challenge']
9
+ INFO | >> Loaded data_config from DOMINO: registry.py:107
10
+ ['robotwin']
11
+ INFO | >> Loaded embodiment_tags from registry.py:110
12
+ DOMINO (data_config): []
13
+ INFO | >> Loaded mixtures from DOMINO registry.py:113
14
+ (data_config): ['domino',
15
+ 'domino_clean', 'domino_random',
16
+ 'domino_cotrain']
17
+ INFO | >> Loaded data_config from Franka: registry.py:107
18
+ ['custom_robot_config',
19
+ 'demo_sim_franka_delta_joints',
20
+ 'SO101']
21
+ INFO | >> Loaded embodiment_tags from registry.py:110
22
+ Franka (data_config): []
23
+ INFO | >> Loaded mixtures from Franka registry.py:113
24
+ (data_config): ['custom_dataset',
25
+ 'custom_dataset_2',
26
+ 'demo_sim_pick_place', 'SO101_pick']
27
+ INFO | >> Loaded data_config from LIBERO: registry.py:107
28
+ ['libero_franka']
29
+ INFO | >> Loaded embodiment_tags from registry.py:110
30
+ LIBERO (data_config): []
31
+ INFO | >> Loaded mixtures from LIBERO registry.py:113
32
+ (data_config): ['libero_all',
33
+ 'libero_goal', 'multi_robot']
34
+ INFO | >> Loaded data_config from MIKASA: registry.py:107
35
+ ['mikasa_franka_h1']
36
+ INFO | >> Loaded embodiment_tags from registry.py:110
37
+ MIKASA (data_config):
38
+ ['mikasa_franka_h1']
39
+ INFO | >> Loaded mixtures from MIKASA registry.py:113
40
+ (data_config):
41
+ ['local/intercept_grab_fast_vla_v0_h1_
42
+ train']
43
+ INFO | >> Loaded data_config from registry.py:107
44
+ RoboChallenge_table30v2:
45
+ ['ur5_robochallenge',
46
+ 'arx5_robochallenge',
47
+ 'dosw1_robochallenge']
48
+ INFO | >> Loaded embodiment_tags from registry.py:110
49
+ RoboChallenge_table30v2 (data_config):
50
+ ['ur5_robochallenge',
51
+ 'arx5_robochallenge',
52
+ 'dosw1_robochallenge']
53
+ INFO | >> Loaded mixtures from registry.py:113
54
+ RoboChallenge_table30v2 (data_config):
55
+ ['robochallenge_table30v2_shred_paper'
56
+ , 'robochallenge_table30v2_ur5_all',
57
+ 'robochallenge_table30v2_arx5_all',
58
+ 'robochallenge_table30v2_dosw1_all']
59
+ INFO | >> Loaded data_config from registry.py:107
60
+ Robocasa_365:
61
+ ['panda_omron_robocasa365']
62
+ INFO | >> Loaded embodiment_tags from registry.py:110
63
+ Robocasa_365 (data_config): []
64
+ INFO | >> Loaded mixtures from registry.py:113
65
+ Robocasa_365 (data_config):
66
+ ['robocasa365_open_drawer_target_human
67
+ ',
68
+ 'robocasa365_atomic_target_human_all',
69
+ 'robocasa365_composite_target_human_al
70
+ l', 'robocasa365_target_human_all']
71
+ INFO | >> Loaded data_config from registry.py:107
72
+ Robocasa_tabletop:
73
+ ['fourier_gr1_arms_waist']
74
+ INFO | >> Loaded embodiment_tags from registry.py:110
75
+ Robocasa_tabletop (data_config): []
76
+ INFO | >> Loaded mixtures from registry.py:113
77
+ Robocasa_tabletop (data_config):
78
+ ['fourier_gr1_unified_1000']
79
+ INFO | >> Loaded data_config from registry.py:107
80
+ Robotwin: ['robotwin', 'robotwin50',
81
+ 'arx_x5']
82
+ INFO | >> Loaded embodiment_tags from registry.py:110
83
+ Robotwin (data_config): []
84
+ INFO | >> Loaded mixtures from Robotwin registry.py:113
85
+ (data_config): ['robotwin_all',
86
+ 'robotwin_all_50', 'robotwin',
87
+ 'robotwin_task1', 'robotwin_task2',
88
+ 'arx_x5']
89
+ INFO | >> Loaded data_config from registry.py:107
90
+ SimplerEnv: ['oxe_droid',
91
+ 'oxe_bridge', 'oxe_rt1']
92
+ INFO | >> Loaded embodiment_tags from registry.py:110
93
+ SimplerEnv (data_config): []
94
+ INFO | >> Loaded mixtures from SimplerEnv registry.py:113
95
+ (data_config): ['bridge',
96
+ 'bridge_rt_1']
97
+ INFO | >> Loaded data_config from registry.py:107
98
+ VLA-Arena: ['vla_arena_franka']
99
+ INFO | >> Loaded embodiment_tags from registry.py:110
100
+ VLA-Arena (data_config): []
101
+ INFO | >> Loaded mixtures from VLA-Arena registry.py:113
102
+ (data_config): ['vla_arena_L0_S',
103
+ 'vla_arena_L0_M', 'vla_arena_L0_L']
104
+ INFO | >> Loaded data_config from registry.py:107
105
+ rl_games: ['rl_games_flappy',
106
+ 'rl_games_demon_attack',
107
+ 'rl_games_defend_the_line',
108
+ 'rl_games_deadly_corridor',
109
+ 'rl_games_asterix',
110
+ 'rl_games_atlantis',
111
+ 'rl_games_gymnasium',
112
+ 'rl_games_gymnasium_discrete',
113
+ 'rl_games_gymnasium_native']
114
+ INFO | >> Loaded embodiment_tags from registry.py:110
115
+ rl_games (data_config):
116
+ ['rl_games_flappy',
117
+ 'rl_games_demon_attack',
118
+ 'rl_games_defend_the_line',
119
+ 'rl_games_deadly_corridor',
120
+ 'rl_games_asterix',
121
+ 'rl_games_atlantis',
122
+ 'rl_games_gymnasium',
123
+ 'rl_games_gymnasium_discrete',
124
+ 'rl_games_gymnasium_native']
125
+ INFO | >> Loaded mixtures from rl_games registry.py:113
126
+ (data_config): ['flappy_train',
127
+ 'flappy_train__bridge',
128
+ 'flappy_mixed_latency_train',
129
+ 'flappy_mixed_latency_train__bridge',
130
+ 'demon_attack_train',
131
+ 'demon_attack_train__bridge',
132
+ 'demon_attack_mixed_latency_train',
133
+ 'demon_attack_mixed_latency_train__bri
134
+ dge', 'defend_the_line_train',
135
+ 'defend_the_line_train__bridge',
136
+ 'defend_the_line_mixed_latency_train',
137
+ 'defend_the_line_mixed_latency_train__
138
+ bridge', 'deadly_corridor_train',
139
+ 'deadly_corridor_train__bridge',
140
+ 'deadly_corridor_mixed_latency_train',
141
+ 'deadly_corridor_mixed_latency_train__
142
+ bridge', 'asterix_train',
143
+ 'asterix_train__bridge',
144
+ 'asterix_mixed_latency_train',
145
+ 'asterix_mixed_latency_train__bridge',
146
+ 'atlantis_train',
147
+ 'atlantis_train__bridge',
148
+ 'atlantis_mixed_latency_train',
149
+ 'atlantis_mixed_latency_train__bridge'
150
+ , 'h1hand_balance_hard']
151
+ INFO | >> PolicyServerWrapper: loading policy_wrapper.py:73
152
+ framework from
153
+ /workspace/hf/hub/models--latency
154
+ -sensitive-bench--benchmark-model
155
+ s/snapshots/180da0effdaaaeacef218
156
+ cf5fbaa4db41af67495/latency-aware
157
+ /flappy/vla/starvla-qwengr00t-h1/
158
+ flappy-qwengr00t-hist8-scratch-s4
159
+ 2-v2/checkpoints/model.pt
160
+ INFO | >> [*] Loading from local share_tools.py:418
161
+ checkpoint path
162
+ `/workspace/hf/hub/models--latency-
163
+ sensitive-bench--benchmark-models/s
164
+ napshots/180da0effdaaaeacef218cf5fb
165
+ aa4db41af67495/latency-aware/flappy
166
+ /vla/starvla-qwengr00t-h1/flappy-qw
167
+ engr00t-hist8-scratch-s42-v2/checkp
168
+ oints/model.pt`
169
+ [QWen3] loading /workspace/hf/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 with gradient_checkpointing=True
170
+
171
+ [QWen3] gradient_checkpointing ENABLED (use_reentrant=False, active=True, text_use_cache=False)
172
+ Total number of DiT parameters: 157032448
173
+ 10/01 [18:16:23] INFO | >> [*] Loading from local share_tools.py:418
174
+ checkpoint path
175
+ `/workspace/hf/hub/models--latency-
176
+ sensitive-bench--benchmark-models/s
177
+ napshots/180da0effdaaaeacef218cf5fb
178
+ aa4db41af67495/latency-aware/flappy
179
+ /vla/starvla-qwengr00t-h1/flappy-qw
180
+ engr00t-hist8-scratch-s42-v2/checkp
181
+ oints/model.pt`
182
+ INFO | >> [*] Loading from local share_tools.py:418
183
+ checkpoint path
184
+ `/workspace/hf/hub/models--latency-
185
+ sensitive-bench--benchmark-models/s
186
+ napshots/180da0effdaaaeacef218cf5fb
187
+ aa4db41af67495/latency-aware/flappy
188
+ /vla/starvla-qwengr00t-h1/flappy-qw
189
+ engr00t-hist8-scratch-s42-v2/checkp
190
+ oints/model.pt`
191
+ INFO | >> [*] Loading from local share_tools.py:418
192
+ checkpoint path
193
+ `/workspace/hf/hub/models--latency-
194
+ sensitive-bench--benchmark-models/s
195
+ napshots/180da0effdaaaeacef218cf5fb
196
+ aa4db41af67495/latency-aware/flappy
197
+ /vla/starvla-qwengr00t-h1/flappy-qw
198
+ engr00t-hist8-scratch-s42-v2/checkp
199
+ oints/model.pt`
200
+ INFO | >> PolicyNormProcessor policy_norm_processor.py:333
201
+ ready:
202
+ robot_type=rl_games_flapp
203
+ y,
204
+ unnorm_key=new_embodiment
205
+ ,
206
+ action_keys=['action.butt
207
+ on'] (dims=[2]),
208
+ state_keys=['state.game_s
209
+ tate']
210
+ INFO | >> PolicyServerWrapper ready: policy_wrapper.py:126
211
+ action_chunk_size=1,
212
+ default_unnorm_key=new_embodimen
213
+ t,
214
+ available_unnorm_keys=['new_embo
215
+ diment'],
216
+ action_keys=['action.button'],
217
+ state_keys=['state.game_state']
218
+ [bench] sweep 1/1 episode 1/2 done
219
+ [bench] sweep 1/1 episode 2/2 done
220
+ [bench] sweep 1/1 complete elapsed=739.1s
221
+ episode=0 return=444.600 steps=3600 mean_latency_ms=128.40632961782367
222
+ episode=1 return=444.600 steps=3600 mean_latency_ms=128.21734172621822
223
+ summary latency=measured episodes=2 mean_return=444.600 std_return=0.000 mean_length=3600.0
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/steps.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/warmup_latencies.jsonl ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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+ {"device": "cuda:0", "end_wall_time": 10834296.830329305, "gpu_class": null, "inference_ms": 128.99514473974705, "instance_id": null, "latency_ms": 128.99514473974705, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 8, "source_run_id": null, "start_wall_time": 10834296.70133416, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10834296.972132377, "gpu_class": null, "inference_ms": 130.24298660457134, "instance_id": null, "latency_ms": 130.24298660457134, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 9, "source_run_id": null, "start_wall_time": 10834296.84188939, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10834297.118255746, "gpu_class": null, "inference_ms": 126.49103999137878, "instance_id": null, "latency_ms": 126.49103999137878, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 10, "source_run_id": null, "start_wall_time": 10834296.991764706, "workload_id": null}
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/1/warmup_pipeline_profile.jsonl ADDED
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+ "suite_name": "measured",
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+ "timestamp_utc": "2026-10-01T20:09:47.473930+00:00"
21
+ }
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/queue_eval_results.jsonl ADDED
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1
+ {"checkpoint_kind": "best", "checkpoint_path": "/workspace/hf/hub/models--latency-sensitive-bench--benchmark-models/snapshots/180da0effdaaaeacef218cf5fbaa4db41af67495/latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/checkpoints/model.pt", "experiment_name": "flappy-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32", "latency": "measured", "latency_type": "measured", "lengths": [3600, 3600], "mean_length": 3600.0, "mean_return": 444.60000000002566, "returns": [444.60000000002566, 444.60000000002566], "seed": 2000200, "std_return": 0.0, "suite_name": "measured", "timestamp_utc": "2026-10-01T20:09:47.473930+00:00"}
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/realtime_pipeline_profile.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/realtime_pipeline_summary.json ADDED
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+ }
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/stdout.log ADDED
@@ -0,0 +1,223 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [bench] run=flappy-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32 sweeps=1 episodes_per_sweep=2 total_episode_runs=2
2
+ [bench] sweep 1/1: eval_latency=measured
3
+ /venv/sim2real/lib/python3.10/site-packages/pygame/pkgdata.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
4
+ from pkg_resources import resource_stream, resource_exists
5
+ /venv/sim2real/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
6
+ check_for_updates()
7
+ 10/01 [19:57:44] INFO | >> Loaded mixtures from Behavior registry.py:113
8
+ (data_config): ['BEHAVIOR_challenge']
9
+ INFO | >> Loaded data_config from DOMINO: registry.py:107
10
+ ['robotwin']
11
+ INFO | >> Loaded embodiment_tags from registry.py:110
12
+ DOMINO (data_config): []
13
+ INFO | >> Loaded mixtures from DOMINO registry.py:113
14
+ (data_config): ['domino',
15
+ 'domino_clean', 'domino_random',
16
+ 'domino_cotrain']
17
+ INFO | >> Loaded data_config from Franka: registry.py:107
18
+ ['custom_robot_config',
19
+ 'demo_sim_franka_delta_joints',
20
+ 'SO101']
21
+ INFO | >> Loaded embodiment_tags from registry.py:110
22
+ Franka (data_config): []
23
+ INFO | >> Loaded mixtures from Franka registry.py:113
24
+ (data_config): ['custom_dataset',
25
+ 'custom_dataset_2',
26
+ 'demo_sim_pick_place', 'SO101_pick']
27
+ INFO | >> Loaded data_config from LIBERO: registry.py:107
28
+ ['libero_franka']
29
+ INFO | >> Loaded embodiment_tags from registry.py:110
30
+ LIBERO (data_config): []
31
+ INFO | >> Loaded mixtures from LIBERO registry.py:113
32
+ (data_config): ['libero_all',
33
+ 'libero_goal', 'multi_robot']
34
+ INFO | >> Loaded data_config from MIKASA: registry.py:107
35
+ ['mikasa_franka_h1']
36
+ INFO | >> Loaded embodiment_tags from registry.py:110
37
+ MIKASA (data_config):
38
+ ['mikasa_franka_h1']
39
+ INFO | >> Loaded mixtures from MIKASA registry.py:113
40
+ (data_config):
41
+ ['local/intercept_grab_fast_vla_v0_h1_
42
+ train']
43
+ INFO | >> Loaded data_config from registry.py:107
44
+ RoboChallenge_table30v2:
45
+ ['ur5_robochallenge',
46
+ 'arx5_robochallenge',
47
+ 'dosw1_robochallenge']
48
+ INFO | >> Loaded embodiment_tags from registry.py:110
49
+ RoboChallenge_table30v2 (data_config):
50
+ ['ur5_robochallenge',
51
+ 'arx5_robochallenge',
52
+ 'dosw1_robochallenge']
53
+ INFO | >> Loaded mixtures from registry.py:113
54
+ RoboChallenge_table30v2 (data_config):
55
+ ['robochallenge_table30v2_shred_paper'
56
+ , 'robochallenge_table30v2_ur5_all',
57
+ 'robochallenge_table30v2_arx5_all',
58
+ 'robochallenge_table30v2_dosw1_all']
59
+ INFO | >> Loaded data_config from registry.py:107
60
+ Robocasa_365:
61
+ ['panda_omron_robocasa365']
62
+ INFO | >> Loaded embodiment_tags from registry.py:110
63
+ Robocasa_365 (data_config): []
64
+ INFO | >> Loaded mixtures from registry.py:113
65
+ Robocasa_365 (data_config):
66
+ ['robocasa365_open_drawer_target_human
67
+ ',
68
+ 'robocasa365_atomic_target_human_all',
69
+ 'robocasa365_composite_target_human_al
70
+ l', 'robocasa365_target_human_all']
71
+ INFO | >> Loaded data_config from registry.py:107
72
+ Robocasa_tabletop:
73
+ ['fourier_gr1_arms_waist']
74
+ INFO | >> Loaded embodiment_tags from registry.py:110
75
+ Robocasa_tabletop (data_config): []
76
+ INFO | >> Loaded mixtures from registry.py:113
77
+ Robocasa_tabletop (data_config):
78
+ ['fourier_gr1_unified_1000']
79
+ INFO | >> Loaded data_config from registry.py:107
80
+ Robotwin: ['robotwin', 'robotwin50',
81
+ 'arx_x5']
82
+ INFO | >> Loaded embodiment_tags from registry.py:110
83
+ Robotwin (data_config): []
84
+ INFO | >> Loaded mixtures from Robotwin registry.py:113
85
+ (data_config): ['robotwin_all',
86
+ 'robotwin_all_50', 'robotwin',
87
+ 'robotwin_task1', 'robotwin_task2',
88
+ 'arx_x5']
89
+ INFO | >> Loaded data_config from registry.py:107
90
+ SimplerEnv: ['oxe_droid',
91
+ 'oxe_bridge', 'oxe_rt1']
92
+ INFO | >> Loaded embodiment_tags from registry.py:110
93
+ SimplerEnv (data_config): []
94
+ INFO | >> Loaded mixtures from SimplerEnv registry.py:113
95
+ (data_config): ['bridge',
96
+ 'bridge_rt_1']
97
+ INFO | >> Loaded data_config from registry.py:107
98
+ VLA-Arena: ['vla_arena_franka']
99
+ INFO | >> Loaded embodiment_tags from registry.py:110
100
+ VLA-Arena (data_config): []
101
+ INFO | >> Loaded mixtures from VLA-Arena registry.py:113
102
+ (data_config): ['vla_arena_L0_S',
103
+ 'vla_arena_L0_M', 'vla_arena_L0_L']
104
+ INFO | >> Loaded data_config from registry.py:107
105
+ rl_games: ['rl_games_flappy',
106
+ 'rl_games_demon_attack',
107
+ 'rl_games_defend_the_line',
108
+ 'rl_games_deadly_corridor',
109
+ 'rl_games_asterix',
110
+ 'rl_games_atlantis',
111
+ 'rl_games_gymnasium',
112
+ 'rl_games_gymnasium_discrete',
113
+ 'rl_games_gymnasium_native']
114
+ INFO | >> Loaded embodiment_tags from registry.py:110
115
+ rl_games (data_config):
116
+ ['rl_games_flappy',
117
+ 'rl_games_demon_attack',
118
+ 'rl_games_defend_the_line',
119
+ 'rl_games_deadly_corridor',
120
+ 'rl_games_asterix',
121
+ 'rl_games_atlantis',
122
+ 'rl_games_gymnasium',
123
+ 'rl_games_gymnasium_discrete',
124
+ 'rl_games_gymnasium_native']
125
+ INFO | >> Loaded mixtures from rl_games registry.py:113
126
+ (data_config): ['flappy_train',
127
+ 'flappy_train__bridge',
128
+ 'flappy_mixed_latency_train',
129
+ 'flappy_mixed_latency_train__bridge',
130
+ 'demon_attack_train',
131
+ 'demon_attack_train__bridge',
132
+ 'demon_attack_mixed_latency_train',
133
+ 'demon_attack_mixed_latency_train__bri
134
+ dge', 'defend_the_line_train',
135
+ 'defend_the_line_train__bridge',
136
+ 'defend_the_line_mixed_latency_train',
137
+ 'defend_the_line_mixed_latency_train__
138
+ bridge', 'deadly_corridor_train',
139
+ 'deadly_corridor_train__bridge',
140
+ 'deadly_corridor_mixed_latency_train',
141
+ 'deadly_corridor_mixed_latency_train__
142
+ bridge', 'asterix_train',
143
+ 'asterix_train__bridge',
144
+ 'asterix_mixed_latency_train',
145
+ 'asterix_mixed_latency_train__bridge',
146
+ 'atlantis_train',
147
+ 'atlantis_train__bridge',
148
+ 'atlantis_mixed_latency_train',
149
+ 'atlantis_mixed_latency_train__bridge'
150
+ , 'h1hand_balance_hard']
151
+ INFO | >> PolicyServerWrapper: loading policy_wrapper.py:73
152
+ framework from
153
+ /workspace/hf/hub/models--latency
154
+ -sensitive-bench--benchmark-model
155
+ s/snapshots/180da0effdaaaeacef218
156
+ cf5fbaa4db41af67495/latency-aware
157
+ /flappy/vla/starvla-qwengr00t-h1/
158
+ flappy-qwengr00t-hist8-scratch-s4
159
+ 2-v2/checkpoints/model.pt
160
+ INFO | >> [*] Loading from local share_tools.py:418
161
+ checkpoint path
162
+ `/workspace/hf/hub/models--latency-
163
+ sensitive-bench--benchmark-models/s
164
+ napshots/180da0effdaaaeacef218cf5fb
165
+ aa4db41af67495/latency-aware/flappy
166
+ /vla/starvla-qwengr00t-h1/flappy-qw
167
+ engr00t-hist8-scratch-s42-v2/checkp
168
+ oints/model.pt`
169
+ [QWen3] loading /workspace/hf/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 with gradient_checkpointing=True
170
+
171
+ [QWen3] gradient_checkpointing ENABLED (use_reentrant=False, active=True, text_use_cache=False)
172
+ Total number of DiT parameters: 157032448
173
+ 10/01 [19:58:03] INFO | >> [*] Loading from local share_tools.py:418
174
+ checkpoint path
175
+ `/workspace/hf/hub/models--latency-
176
+ sensitive-bench--benchmark-models/s
177
+ napshots/180da0effdaaaeacef218cf5fb
178
+ aa4db41af67495/latency-aware/flappy
179
+ /vla/starvla-qwengr00t-h1/flappy-qw
180
+ engr00t-hist8-scratch-s42-v2/checkp
181
+ oints/model.pt`
182
+ INFO | >> [*] Loading from local share_tools.py:418
183
+ checkpoint path
184
+ `/workspace/hf/hub/models--latency-
185
+ sensitive-bench--benchmark-models/s
186
+ napshots/180da0effdaaaeacef218cf5fb
187
+ aa4db41af67495/latency-aware/flappy
188
+ /vla/starvla-qwengr00t-h1/flappy-qw
189
+ engr00t-hist8-scratch-s42-v2/checkp
190
+ oints/model.pt`
191
+ INFO | >> [*] Loading from local share_tools.py:418
192
+ checkpoint path
193
+ `/workspace/hf/hub/models--latency-
194
+ sensitive-bench--benchmark-models/s
195
+ napshots/180da0effdaaaeacef218cf5fb
196
+ aa4db41af67495/latency-aware/flappy
197
+ /vla/starvla-qwengr00t-h1/flappy-qw
198
+ engr00t-hist8-scratch-s42-v2/checkp
199
+ oints/model.pt`
200
+ INFO | >> PolicyNormProcessor policy_norm_processor.py:333
201
+ ready:
202
+ robot_type=rl_games_flapp
203
+ y,
204
+ unnorm_key=new_embodiment
205
+ ,
206
+ action_keys=['action.butt
207
+ on'] (dims=[2]),
208
+ state_keys=['state.game_s
209
+ tate']
210
+ INFO | >> PolicyServerWrapper ready: policy_wrapper.py:126
211
+ action_chunk_size=1,
212
+ default_unnorm_key=new_embodimen
213
+ t,
214
+ available_unnorm_keys=['new_embo
215
+ diment'],
216
+ action_keys=['action.button'],
217
+ state_keys=['state.game_state']
218
+ [bench] sweep 1/1 episode 1/2 done
219
+ [bench] sweep 1/1 episode 2/2 done
220
+ [bench] sweep 1/1 complete elapsed=733.0s
221
+ episode=0 return=444.600 steps=3600 mean_latency_ms=127.95752932262162
222
+ episode=1 return=444.600 steps=3600 mean_latency_ms=127.97057846578676
223
+ summary latency=measured episodes=2 mean_return=444.600 std_return=0.000 mean_length=3600.0
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/steps.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/warmup_latencies.jsonl ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"device": "cuda:0", "end_wall_time": 10840395.143603643, "gpu_class": null, "inference_ms": 597.6453516632318, "instance_id": null, "latency_ms": 597.6453516632318, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 0, "source_run_id": null, "start_wall_time": 10840394.545958292, "workload_id": null}
2
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+ {"device": "cuda:0", "end_wall_time": 10840396.711223936, "gpu_class": null, "inference_ms": 126.2405477464199, "instance_id": null, "latency_ms": 126.2405477464199, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 11, "source_run_id": null, "start_wall_time": 10840396.584983388, "workload_id": null}
13
+ {"device": "cuda:0", "end_wall_time": 10840396.85250642, "gpu_class": null, "inference_ms": 126.64084695279598, "instance_id": null, "latency_ms": 126.64084695279598, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 12, "source_run_id": null, "start_wall_time": 10840396.725865573, "workload_id": null}
14
+ {"device": "cuda:0", "end_wall_time": 10840396.997779123, "gpu_class": null, "inference_ms": 126.91068835556507, "instance_id": null, "latency_ms": 126.91068835556507, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 13, "source_run_id": null, "start_wall_time": 10840396.870868435, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10840397.282819446, "gpu_class": null, "inference_ms": 127.45913490653038, "instance_id": null, "latency_ms": 127.45913490653038, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 15, "source_run_id": null, "start_wall_time": 10840397.155360311, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10840397.431213291, "gpu_class": null, "inference_ms": 127.30610556900501, "instance_id": null, "latency_ms": 127.30610556900501, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 16, "source_run_id": null, "start_wall_time": 10840397.303907186, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10840397.57834502, "gpu_class": null, "inference_ms": 127.02849321067333, "instance_id": null, "latency_ms": 127.02849321067333, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 17, "source_run_id": null, "start_wall_time": 10840397.451316526, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10840397.904528346, "gpu_class": null, "inference_ms": 127.29774042963982, "instance_id": null, "latency_ms": 127.29774042963982, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 19, "source_run_id": null, "start_wall_time": 10840397.777230605, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10840398.63849956, "gpu_class": null, "inference_ms": 126.69114768505096, "instance_id": null, "latency_ms": 126.69114768505096, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 24, "source_run_id": null, "start_wall_time": 10840398.511808412, "workload_id": null}
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/10/warmup_pipeline_profile.jsonl ADDED
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67
+ "parent_release_ms": {
68
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103
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117
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124
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131
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137
+ }
138
+ }
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/stdout.log ADDED
@@ -0,0 +1,223 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [bench] run=flappy-qwengr00t-hist8-scratch-s42-v2-step5000-history01-profile-par32 sweeps=1 episodes_per_sweep=2 total_episode_runs=2
2
+ [bench] sweep 1/1: eval_latency=measured
3
+ /venv/sim2real/lib/python3.10/site-packages/pygame/pkgdata.py:25: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
4
+ from pkg_resources import resource_stream, resource_exists
5
+ /venv/sim2real/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
6
+ check_for_updates()
7
+ 10/01 [20:09:59] INFO | >> Loaded mixtures from Behavior registry.py:113
8
+ (data_config): ['BEHAVIOR_challenge']
9
+ INFO | >> Loaded data_config from DOMINO: registry.py:107
10
+ ['robotwin']
11
+ INFO | >> Loaded embodiment_tags from registry.py:110
12
+ DOMINO (data_config): []
13
+ INFO | >> Loaded mixtures from DOMINO registry.py:113
14
+ (data_config): ['domino',
15
+ 'domino_clean', 'domino_random',
16
+ 'domino_cotrain']
17
+ INFO | >> Loaded data_config from Franka: registry.py:107
18
+ ['custom_robot_config',
19
+ 'demo_sim_franka_delta_joints',
20
+ 'SO101']
21
+ INFO | >> Loaded embodiment_tags from registry.py:110
22
+ Franka (data_config): []
23
+ INFO | >> Loaded mixtures from Franka registry.py:113
24
+ (data_config): ['custom_dataset',
25
+ 'custom_dataset_2',
26
+ 'demo_sim_pick_place', 'SO101_pick']
27
+ INFO | >> Loaded data_config from LIBERO: registry.py:107
28
+ ['libero_franka']
29
+ INFO | >> Loaded embodiment_tags from registry.py:110
30
+ LIBERO (data_config): []
31
+ INFO | >> Loaded mixtures from LIBERO registry.py:113
32
+ (data_config): ['libero_all',
33
+ 'libero_goal', 'multi_robot']
34
+ INFO | >> Loaded data_config from MIKASA: registry.py:107
35
+ ['mikasa_franka_h1']
36
+ INFO | >> Loaded embodiment_tags from registry.py:110
37
+ MIKASA (data_config):
38
+ ['mikasa_franka_h1']
39
+ INFO | >> Loaded mixtures from MIKASA registry.py:113
40
+ (data_config):
41
+ ['local/intercept_grab_fast_vla_v0_h1_
42
+ train']
43
+ INFO | >> Loaded data_config from registry.py:107
44
+ RoboChallenge_table30v2:
45
+ ['ur5_robochallenge',
46
+ 'arx5_robochallenge',
47
+ 'dosw1_robochallenge']
48
+ INFO | >> Loaded embodiment_tags from registry.py:110
49
+ RoboChallenge_table30v2 (data_config):
50
+ ['ur5_robochallenge',
51
+ 'arx5_robochallenge',
52
+ 'dosw1_robochallenge']
53
+ INFO | >> Loaded mixtures from registry.py:113
54
+ RoboChallenge_table30v2 (data_config):
55
+ ['robochallenge_table30v2_shred_paper'
56
+ , 'robochallenge_table30v2_ur5_all',
57
+ 'robochallenge_table30v2_arx5_all',
58
+ 'robochallenge_table30v2_dosw1_all']
59
+ INFO | >> Loaded data_config from registry.py:107
60
+ Robocasa_365:
61
+ ['panda_omron_robocasa365']
62
+ INFO | >> Loaded embodiment_tags from registry.py:110
63
+ Robocasa_365 (data_config): []
64
+ INFO | >> Loaded mixtures from registry.py:113
65
+ Robocasa_365 (data_config):
66
+ ['robocasa365_open_drawer_target_human
67
+ ',
68
+ 'robocasa365_atomic_target_human_all',
69
+ 'robocasa365_composite_target_human_al
70
+ l', 'robocasa365_target_human_all']
71
+ INFO | >> Loaded data_config from registry.py:107
72
+ Robocasa_tabletop:
73
+ ['fourier_gr1_arms_waist']
74
+ INFO | >> Loaded embodiment_tags from registry.py:110
75
+ Robocasa_tabletop (data_config): []
76
+ INFO | >> Loaded mixtures from registry.py:113
77
+ Robocasa_tabletop (data_config):
78
+ ['fourier_gr1_unified_1000']
79
+ INFO | >> Loaded data_config from registry.py:107
80
+ Robotwin: ['robotwin', 'robotwin50',
81
+ 'arx_x5']
82
+ INFO | >> Loaded embodiment_tags from registry.py:110
83
+ Robotwin (data_config): []
84
+ INFO | >> Loaded mixtures from Robotwin registry.py:113
85
+ (data_config): ['robotwin_all',
86
+ 'robotwin_all_50', 'robotwin',
87
+ 'robotwin_task1', 'robotwin_task2',
88
+ 'arx_x5']
89
+ INFO | >> Loaded data_config from registry.py:107
90
+ SimplerEnv: ['oxe_droid',
91
+ 'oxe_bridge', 'oxe_rt1']
92
+ INFO | >> Loaded embodiment_tags from registry.py:110
93
+ SimplerEnv (data_config): []
94
+ INFO | >> Loaded mixtures from SimplerEnv registry.py:113
95
+ (data_config): ['bridge',
96
+ 'bridge_rt_1']
97
+ INFO | >> Loaded data_config from registry.py:107
98
+ VLA-Arena: ['vla_arena_franka']
99
+ INFO | >> Loaded embodiment_tags from registry.py:110
100
+ VLA-Arena (data_config): []
101
+ INFO | >> Loaded mixtures from VLA-Arena registry.py:113
102
+ (data_config): ['vla_arena_L0_S',
103
+ 'vla_arena_L0_M', 'vla_arena_L0_L']
104
+ INFO | >> Loaded data_config from registry.py:107
105
+ rl_games: ['rl_games_flappy',
106
+ 'rl_games_demon_attack',
107
+ 'rl_games_defend_the_line',
108
+ 'rl_games_deadly_corridor',
109
+ 'rl_games_asterix',
110
+ 'rl_games_atlantis',
111
+ 'rl_games_gymnasium',
112
+ 'rl_games_gymnasium_discrete',
113
+ 'rl_games_gymnasium_native']
114
+ INFO | >> Loaded embodiment_tags from registry.py:110
115
+ rl_games (data_config):
116
+ ['rl_games_flappy',
117
+ 'rl_games_demon_attack',
118
+ 'rl_games_defend_the_line',
119
+ 'rl_games_deadly_corridor',
120
+ 'rl_games_asterix',
121
+ 'rl_games_atlantis',
122
+ 'rl_games_gymnasium',
123
+ 'rl_games_gymnasium_discrete',
124
+ 'rl_games_gymnasium_native']
125
+ INFO | >> Loaded mixtures from rl_games registry.py:113
126
+ (data_config): ['flappy_train',
127
+ 'flappy_train__bridge',
128
+ 'flappy_mixed_latency_train',
129
+ 'flappy_mixed_latency_train__bridge',
130
+ 'demon_attack_train',
131
+ 'demon_attack_train__bridge',
132
+ 'demon_attack_mixed_latency_train',
133
+ 'demon_attack_mixed_latency_train__bri
134
+ dge', 'defend_the_line_train',
135
+ 'defend_the_line_train__bridge',
136
+ 'defend_the_line_mixed_latency_train',
137
+ 'defend_the_line_mixed_latency_train__
138
+ bridge', 'deadly_corridor_train',
139
+ 'deadly_corridor_train__bridge',
140
+ 'deadly_corridor_mixed_latency_train',
141
+ 'deadly_corridor_mixed_latency_train__
142
+ bridge', 'asterix_train',
143
+ 'asterix_train__bridge',
144
+ 'asterix_mixed_latency_train',
145
+ 'asterix_mixed_latency_train__bridge',
146
+ 'atlantis_train',
147
+ 'atlantis_train__bridge',
148
+ 'atlantis_mixed_latency_train',
149
+ 'atlantis_mixed_latency_train__bridge'
150
+ , 'h1hand_balance_hard']
151
+ INFO | >> PolicyServerWrapper: loading policy_wrapper.py:73
152
+ framework from
153
+ /workspace/hf/hub/models--latency
154
+ -sensitive-bench--benchmark-model
155
+ s/snapshots/180da0effdaaaeacef218
156
+ cf5fbaa4db41af67495/latency-aware
157
+ /flappy/vla/starvla-qwengr00t-h1/
158
+ flappy-qwengr00t-hist8-scratch-s4
159
+ 2-v2/checkpoints/model.pt
160
+ INFO | >> [*] Loading from local share_tools.py:418
161
+ checkpoint path
162
+ `/workspace/hf/hub/models--latency-
163
+ sensitive-bench--benchmark-models/s
164
+ napshots/180da0effdaaaeacef218cf5fb
165
+ aa4db41af67495/latency-aware/flappy
166
+ /vla/starvla-qwengr00t-h1/flappy-qw
167
+ engr00t-hist8-scratch-s42-v2/checkp
168
+ oints/model.pt`
169
+ [QWen3] loading /workspace/hf/hub/models--Qwen--Qwen3-VL-4B-Instruct/snapshots/ebb281ec70b05090aa6165b016eac8ec08e71b17 with gradient_checkpointing=True
170
+
171
+ [QWen3] gradient_checkpointing ENABLED (use_reentrant=False, active=True, text_use_cache=False)
172
+ Total number of DiT parameters: 157032448
173
+ 10/01 [20:10:18] INFO | >> [*] Loading from local share_tools.py:418
174
+ checkpoint path
175
+ `/workspace/hf/hub/models--latency-
176
+ sensitive-bench--benchmark-models/s
177
+ napshots/180da0effdaaaeacef218cf5fb
178
+ aa4db41af67495/latency-aware/flappy
179
+ /vla/starvla-qwengr00t-h1/flappy-qw
180
+ engr00t-hist8-scratch-s42-v2/checkp
181
+ oints/model.pt`
182
+ INFO | >> [*] Loading from local share_tools.py:418
183
+ checkpoint path
184
+ `/workspace/hf/hub/models--latency-
185
+ sensitive-bench--benchmark-models/s
186
+ napshots/180da0effdaaaeacef218cf5fb
187
+ aa4db41af67495/latency-aware/flappy
188
+ /vla/starvla-qwengr00t-h1/flappy-qw
189
+ engr00t-hist8-scratch-s42-v2/checkp
190
+ oints/model.pt`
191
+ INFO | >> [*] Loading from local share_tools.py:418
192
+ checkpoint path
193
+ `/workspace/hf/hub/models--latency-
194
+ sensitive-bench--benchmark-models/s
195
+ napshots/180da0effdaaaeacef218cf5fb
196
+ aa4db41af67495/latency-aware/flappy
197
+ /vla/starvla-qwengr00t-h1/flappy-qw
198
+ engr00t-hist8-scratch-s42-v2/checkp
199
+ oints/model.pt`
200
+ INFO | >> PolicyNormProcessor policy_norm_processor.py:333
201
+ ready:
202
+ robot_type=rl_games_flapp
203
+ y,
204
+ unnorm_key=new_embodiment
205
+ ,
206
+ action_keys=['action.butt
207
+ on'] (dims=[2]),
208
+ state_keys=['state.game_s
209
+ tate']
210
+ INFO | >> PolicyServerWrapper ready: policy_wrapper.py:126
211
+ action_chunk_size=1,
212
+ default_unnorm_key=new_embodimen
213
+ t,
214
+ available_unnorm_keys=['new_embo
215
+ diment'],
216
+ action_keys=['action.button'],
217
+ state_keys=['state.game_state']
218
+ [bench] sweep 1/1 episode 1/2 done
219
+ [bench] sweep 1/1 episode 2/2 done
220
+ [bench] sweep 1/1 complete elapsed=733.6s
221
+ episode=0 return=444.600 steps=3600 mean_latency_ms=129.299519200493
222
+ episode=1 return=444.600 steps=3600 mean_latency_ms=129.34021688397226
223
+ summary latency=measured episodes=2 mean_return=444.600 std_return=0.000 mean_length=3600.0
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/steps.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/warmup_latencies.jsonl ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"device": "cuda:0", "end_wall_time": 10841130.210995866, "gpu_class": null, "inference_ms": 502.92071886360645, "instance_id": null, "latency_ms": 502.92071886360645, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 0, "source_run_id": null, "start_wall_time": 10841129.708075147, "workload_id": null}
2
+ {"device": "cuda:0", "end_wall_time": 10841130.356412375, "gpu_class": null, "inference_ms": 131.3772350549698, "instance_id": null, "latency_ms": 131.3772350549698, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 1, "source_run_id": null, "start_wall_time": 10841130.22503514, "workload_id": null}
3
+ {"device": "cuda:0", "end_wall_time": 10841130.497572776, "gpu_class": null, "inference_ms": 128.18077020347118, "instance_id": null, "latency_ms": 128.18077020347118, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 2, "source_run_id": null, "start_wall_time": 10841130.369392006, "workload_id": null}
4
+ {"device": "cuda:0", "end_wall_time": 10841130.645989096, "gpu_class": null, "inference_ms": 128.31999734044075, "instance_id": null, "latency_ms": 128.31999734044075, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 3, "source_run_id": null, "start_wall_time": 10841130.517669098, "workload_id": null}
5
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+ {"device": "cuda:0", "end_wall_time": 10841131.09005194, "gpu_class": null, "inference_ms": 127.95853614807129, "instance_id": null, "latency_ms": 127.95853614807129, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 6, "source_run_id": null, "start_wall_time": 10841130.962093404, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10841131.237835629, "gpu_class": null, "inference_ms": 127.8954204171896, "instance_id": null, "latency_ms": 127.8954204171896, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 7, "source_run_id": null, "start_wall_time": 10841131.109940208, "workload_id": null}
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+ {"device": "cuda:0", "end_wall_time": 10841131.385692831, "gpu_class": null, "inference_ms": 127.94042937457561, "instance_id": null, "latency_ms": 127.94042937457561, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 8, "source_run_id": null, "start_wall_time": 10841131.257752402, "workload_id": null}
10
+ {"device": "cuda:0", "end_wall_time": 10841131.53436794, "gpu_class": null, "inference_ms": 128.0378345400095, "instance_id": null, "latency_ms": 128.0378345400095, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 9, "source_run_id": null, "start_wall_time": 10841131.406330105, "workload_id": null}
11
+ {"device": "cuda:0", "end_wall_time": 10841131.682866853, "gpu_class": null, "inference_ms": 128.32489609718323, "instance_id": null, "latency_ms": 128.32489609718323, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 10, "source_run_id": null, "start_wall_time": 10841131.554541957, "workload_id": null}
12
+ {"device": "cuda:0", "end_wall_time": 10841131.830727665, "gpu_class": null, "inference_ms": 128.38632799685, "instance_id": null, "latency_ms": 128.38632799685, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 11, "source_run_id": null, "start_wall_time": 10841131.702341337, "workload_id": null}
13
+ {"device": "cuda:0", "end_wall_time": 10841131.9785451, "gpu_class": null, "inference_ms": 128.12752276659012, "instance_id": null, "latency_ms": 128.12752276659012, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 12, "source_run_id": null, "start_wall_time": 10841131.850417577, "workload_id": null}
14
+ {"device": "cuda:0", "end_wall_time": 10841132.125967288, "gpu_class": null, "inference_ms": 128.1188763678074, "instance_id": null, "latency_ms": 128.1188763678074, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 13, "source_run_id": null, "start_wall_time": 10841131.997848412, "workload_id": null}
15
+ {"device": "cuda:0", "end_wall_time": 10841132.296093415, "gpu_class": null, "inference_ms": 129.58245538175106, "instance_id": null, "latency_ms": 129.58245538175106, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 14, "source_run_id": null, "start_wall_time": 10841132.16651096, "workload_id": null}
16
+ {"device": "cuda:0", "end_wall_time": 10841132.456920741, "gpu_class": null, "inference_ms": 131.58788159489632, "instance_id": null, "latency_ms": 131.58788159489632, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 15, "source_run_id": null, "start_wall_time": 10841132.32533286, "workload_id": null}
17
+ {"device": "cuda:0", "end_wall_time": 10841132.604715172, "gpu_class": null, "inference_ms": 127.69318744540215, "instance_id": null, "latency_ms": 127.69318744540215, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 16, "source_run_id": null, "start_wall_time": 10841132.477021985, "workload_id": null}
18
+ {"device": "cuda:0", "end_wall_time": 10841132.752359603, "gpu_class": null, "inference_ms": 128.2530054450035, "instance_id": null, "latency_ms": 128.2530054450035, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 17, "source_run_id": null, "start_wall_time": 10841132.624106597, "workload_id": null}
19
+ {"device": "cuda:0", "end_wall_time": 10841132.901080037, "gpu_class": null, "inference_ms": 128.70796024799347, "instance_id": null, "latency_ms": 128.70796024799347, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 18, "source_run_id": null, "start_wall_time": 10841132.772372076, "workload_id": null}
20
+ {"device": "cuda:0", "end_wall_time": 10841133.050508576, "gpu_class": null, "inference_ms": 128.36309522390366, "instance_id": null, "latency_ms": 128.36309522390366, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 19, "source_run_id": null, "start_wall_time": 10841132.92214548, "workload_id": null}
21
+ {"device": "cuda:0", "end_wall_time": 10841133.19874166, "gpu_class": null, "inference_ms": 128.6434531211853, "instance_id": null, "latency_ms": 128.6434531211853, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 20, "source_run_id": null, "start_wall_time": 10841133.070098206, "workload_id": null}
22
+ {"device": "cuda:0", "end_wall_time": 10841133.347835468, "gpu_class": null, "inference_ms": 128.96514497697353, "instance_id": null, "latency_ms": 128.96514497697353, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 21, "source_run_id": null, "start_wall_time": 10841133.218870323, "workload_id": null}
23
+ {"device": "cuda:0", "end_wall_time": 10841133.49621777, "gpu_class": null, "inference_ms": 128.51941399276257, "instance_id": null, "latency_ms": 128.51941399276257, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 22, "source_run_id": null, "start_wall_time": 10841133.367698357, "workload_id": null}
24
+ {"device": "cuda:0", "end_wall_time": 10841133.644362155, "gpu_class": null, "inference_ms": 128.47156822681427, "instance_id": null, "latency_ms": 128.47156822681427, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 23, "source_run_id": null, "start_wall_time": 10841133.515890587, "workload_id": null}
25
+ {"device": "cuda:0", "end_wall_time": 10841133.79298158, "gpu_class": null, "inference_ms": 128.54220904409885, "instance_id": null, "latency_ms": 128.54220904409885, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 24, "source_run_id": null, "start_wall_time": 10841133.66443937, "workload_id": null}
26
+ {"device": "cuda:0", "end_wall_time": 10841133.942844745, "gpu_class": null, "inference_ms": 128.91514413058758, "instance_id": null, "latency_ms": 128.91514413058758, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 25, "source_run_id": null, "start_wall_time": 10841133.8139296, "workload_id": null}
27
+ {"device": "cuda:0", "end_wall_time": 10841134.090872789, "gpu_class": null, "inference_ms": 128.02530080080032, "instance_id": null, "latency_ms": 128.02530080080032, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 26, "source_run_id": null, "start_wall_time": 10841133.962847488, "workload_id": null}
28
+ {"device": "cuda:0", "end_wall_time": 10841134.238617096, "gpu_class": null, "inference_ms": 128.25538776814938, "instance_id": null, "latency_ms": 128.25538776814938, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 27, "source_run_id": null, "start_wall_time": 10841134.110361708, "workload_id": null}
29
+ {"device": "cuda:0", "end_wall_time": 10841134.386016669, "gpu_class": null, "inference_ms": 127.94888764619827, "instance_id": null, "latency_ms": 127.94888764619827, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 28, "source_run_id": null, "start_wall_time": 10841134.258067781, "workload_id": null}
30
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31
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+ {"device": "cuda:0", "end_wall_time": 10841136.1549509, "gpu_class": null, "inference_ms": 128.3465102314949, "instance_id": null, "latency_ms": 128.3465102314949, "latency_type": "measured", "metadata": {"worker_cuda_current_device": 0, "worker_cuda_current_device_name": "NVIDIA A100-SXM4-80GB", "worker_cuda_device_count": 1, "worker_cuda_flash_sdp_enabled": true, "worker_cuda_math_sdp_enabled": true, "worker_cuda_mem_efficient_sdp_enabled": true, "worker_id": 0, "worker_start_method": "spawn", "worker_torch_cuda_version": "12.8", "worker_torch_float32_matmul_precision": "highest", "worker_torch_version": "2.11.0+cu128"}, "model_id": null, "obs_id": 40, "source_run_id": null, "start_wall_time": 10841136.02660439, "workload_id": null}
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experiments/sim2real-calibration/cases/a100/flappy/qwengr00t/real/11/warmup_pipeline_profile.jsonl ADDED
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