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Upload the NBA checkpoints and samples

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  1. checkpoints/nba/imle/checkpoint_best.pt +3 -0
  2. checkpoints/nba/imle/imle_training_log.txt +15 -0
  3. checkpoints/nba/moflow/checkpoint_best.pt +3 -0
  4. checkpoints/nba/moflow/moflow_training_log.txt +0 -0
  5. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_0_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  6. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_10_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  7. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_11_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  8. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_12_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  9. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_13_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  10. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_14_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  11. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_15_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  12. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_16_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  13. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_17_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  14. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_18_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  15. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_19_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  16. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_1_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  17. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_20_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  18. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_21_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  19. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_22_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  20. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_23_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  21. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_24_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  22. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_25_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  23. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_26_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  24. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_27_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  25. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_28_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  26. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_29_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  27. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_2_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  28. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_30_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  29. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_31_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  30. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_32_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  31. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_33_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  32. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_34_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  33. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_35_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  34. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_36_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  35. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_37_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  36. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_38_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  37. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_39_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  38. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_3_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  39. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_40_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  40. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_41_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  41. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_42_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  42. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_43_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  43. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_44_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  44. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_45_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  45. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_46_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  46. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_47_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  47. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_48_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  48. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_49_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  49. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_4_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
  50. checkpoints/nba/moflow/training_samples_for_imle/denoising_samples_train_batch_50_600_FM_S100_lin_poly_p5_long1000.pkl +3 -0
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+ 2025-01-14 07:38:52,823 INFO Start recording validation set ADE/FDE...
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+ 2025-01-14 07:39:00,140 INFO Time elapsed: 7316.76758 ms
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+ 2025-01-14 07:39:00,141 INFO Time elapsed per scene: 0.58534 ms
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+ 2025-01-14 07:39:00,141 INFO Number of scenes: 12500
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+ 2025-01-14 07:39:00,141 INFO 33899/33900, running inference on 137500 agents (trajectories)
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+ 2025-01-14 07:39:00,143 INFO --ADE_min(1.0s): 0.1860885 --FDE_min(1.0s): 0.2550459
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+ 2025-01-14 07:39:00,144 INFO --ADE_min(2.0s): 0.3463464 --FDE_min(2.0s): 0.4716326
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+ 2025-01-14 07:39:00,145 INFO --ADE_min(3.0s): 0.5220060 --FDE_min(3.0s): 0.6770334
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+ 2025-01-14 07:39:00,145 INFO --ADE_min(4.0s): 0.7096937 --FDE_min(4.0s): 0.8680099
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+ 2025-01-14 07:39:00,145 INFO --ADE_avg(1.0s): 0.4541040 --FDE_avg(1.0s): 0.8623967
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+ 2025-01-14 07:39:00,145 INFO --ADE_avg(2.0s): 1.0754331 --FDE_avg(2.0s): 2.2872790
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+ 2025-01-14 07:39:00,145 INFO --ADE_avg(3.0s): 1.7639341 --FDE_avg(3.0s): 3.6698083
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+ 2025-01-14 07:39:00,145 INFO --ADE_avg(4.0s): 2.3972092 --FDE_avg(4.0s): 4.6537759
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+ 2025-01-14 07:39:00,145 INFO Current best ADE_MIN: 0.7096937142666904
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+ 2025-01-14 07:39:11,065 INFO training complete
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