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sasha HF staff commited on
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starting from scratch

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  1. EnergyStarAI/requests_debug/lvwerra/distilbert-imdb_eval_request_float16_Original.json +0 -1
  2. lvwerra/distilbert-imdb_eval_request_float16_Original.json +0 -1
  3. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/config.yaml +0 -94
  4. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/hydra.yaml +0 -173
  5. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/overrides.yaml +0 -1
  6. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/benchmark_report.json +0 -107
  7. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/cli.log +0 -113
  8. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/experiment_config.json +0 -107
  9. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/forward_codecarbon.json +0 -33
  10. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/preprocess_codecarbon.json +0 -33
  11. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/config.yaml +0 -94
  12. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/hydra.yaml +0 -173
  13. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/overrides.yaml +0 -1
  14. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/cli.log +0 -28
  15. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/experiment_config.json +0 -107
  16. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/preprocess_codecarbon.json +0 -33
  17. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/config.yaml +0 -94
  18. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/hydra.yaml +0 -173
  19. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/overrides.yaml +0 -1
  20. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/benchmark_report.json +0 -107
  21. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/cli.log +0 -113
  22. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/experiment_config.json +0 -107
  23. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/forward_codecarbon.json +0 -33
  24. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/preprocess_codecarbon.json +0 -33
  25. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/config.yaml +0 -94
  26. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/hydra.yaml +0 -173
  27. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/overrides.yaml +0 -1
  28. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/cli.log +0 -30
  29. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/experiment_config.json +0 -107
  30. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/preprocess_codecarbon.json +0 -33
  31. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/config.yaml +0 -94
  32. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/hydra.yaml +0 -173
  33. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/overrides.yaml +0 -1
  34. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/benchmark_report.json +0 -107
  35. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/cli.log +0 -113
  36. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/experiment_config.json +0 -107
  37. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/forward_codecarbon.json +0 -33
  38. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/preprocess_codecarbon.json +0 -33
  39. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/config.yaml +0 -94
  40. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/hydra.yaml +0 -173
  41. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/overrides.yaml +0 -1
  42. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/cli.log +0 -24
  43. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/experiment_config.json +0 -107
  44. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/config.yaml +0 -94
  45. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/hydra.yaml +0 -173
  46. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/overrides.yaml +0 -1
  47. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/benchmark_report.json +0 -107
  48. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/cli.log +0 -113
  49. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/experiment_config.json +0 -107
  50. text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/forward_codecarbon.json +0 -33
EnergyStarAI/requests_debug/lvwerra/distilbert-imdb_eval_request_float16_Original.json DELETED
@@ -1 +0,0 @@
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- {"model": "lvwerra/distilbert-imdb", "revision": "main", "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-10-01T15:40:51Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 20, "params": 0}
 
 
lvwerra/distilbert-imdb_eval_request_float16_Original.json DELETED
@@ -1 +0,0 @@
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- {"model": "lvwerra/distilbert-imdb", "revision": "main", "precision": "float16", "weight_type": "Original", "status": "PENDING", "submitted_time": "2024-10-01T18:55:12Z", "model_type": "\ud83d\udfe2 : pretrained", "likes": 20, "params": 0}
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/config.yaml DELETED
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- device_isolation_action: warn
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- start_method: spawn
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- benchmark:
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- num_samples: 1000
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- text_column_name: text
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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/hydra.yaml DELETED
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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/cli.log DELETED
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- [2024-10-01 19:02:39,725][device-isolation][INFO] - + Launched device(s) isolation process 66
4
- [2024-10-01 19:02:39,726][device-isolation][INFO] - + Isolating device(s) [0]
5
- [2024-10-01 19:02:39,732][process][INFO] - + Launched benchmark in isolated process 67.
6
- [PROC-0][2024-10-01 19:02:42,331][datasets][INFO] - PyTorch version 2.4.0 available.
7
- [PROC-0][2024-10-01 19:02:43,278][backend][INFO] - َAllocating pytorch backend
8
- [PROC-0][2024-10-01 19:02:43,278][backend][INFO] - + Setting random seed to 42
9
- [PROC-0][2024-10-01 19:02:43,590][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
- [PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating backend temporary directory
11
- [PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Loading model with random weights
12
- [PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating no weights model
13
- [PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating no weights model directory
14
- [PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - + Creating no weights model state dict
15
- [PROC-0][2024-10-01 19:02:43,593][pytorch][INFO] - + Saving no weights model safetensors
16
- [PROC-0][2024-10-01 19:02:43,594][pytorch][INFO] - + Saving no weights model pretrained config
17
- [PROC-0][2024-10-01 19:02:43,595][pytorch][INFO] - + Loading no weights AutoModel
18
- [PROC-0][2024-10-01 19:02:43,595][pytorch][INFO] - + Loading model directly on device: cuda
19
- [PROC-0][2024-10-01 19:02:43,896][pytorch][INFO] - + Turning on model's eval mode
20
- [PROC-0][2024-10-01 19:02:43,902][benchmark][INFO] - Allocating energy_star benchmark
21
- [PROC-0][2024-10-01 19:02:43,902][energy_star][INFO] - + Loading raw dataset
22
- [PROC-0][2024-10-01 19:02:44,447][energy_star][INFO] - + Initializing Inference report
23
- [PROC-0][2024-10-01 19:02:44,448][energy][INFO] - + Tracking GPU energy on devices [0]
24
- [PROC-0][2024-10-01 19:02:48,663][energy_star][INFO] - + Preprocessing dataset
25
- [PROC-0][2024-10-01 19:02:49,098][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
- [PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - + Preparing backend for Inference
27
- [PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - + Initialising dataloader
28
- [PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - + Warming up backend for Inference
29
- [PROC-0][2024-10-01 19:02:49,663][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
- [PROC-0][2024-10-01 19:02:49,663][energy_star][INFO] - + Iteration 1/10
31
- [PROC-0][2024-10-01 19:02:53,729][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
- [PROC-0][2024-10-01 19:02:53,731][energy_star][INFO] - + Iteration 2/10
33
- [PROC-0][2024-10-01 19:02:57,781][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
- [PROC-0][2024-10-01 19:02:57,784][energy_star][INFO] - + Iteration 3/10
35
- [PROC-0][2024-10-01 19:03:01,819][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
- [PROC-0][2024-10-01 19:03:01,821][energy_star][INFO] - + Iteration 4/10
37
- [PROC-0][2024-10-01 19:03:05,936][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
- [PROC-0][2024-10-01 19:03:05,938][energy_star][INFO] - + Iteration 5/10
39
- [PROC-0][2024-10-01 19:03:10,054][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
- [PROC-0][2024-10-01 19:03:10,057][energy_star][INFO] - + Iteration 6/10
41
- [PROC-0][2024-10-01 19:03:14,093][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
- [PROC-0][2024-10-01 19:03:14,095][energy_star][INFO] - + Iteration 7/10
43
- [PROC-0][2024-10-01 19:03:18,137][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
- [PROC-0][2024-10-01 19:03:18,139][energy_star][INFO] - + Iteration 8/10
45
- [PROC-0][2024-10-01 19:03:22,181][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
- [PROC-0][2024-10-01 19:03:22,183][energy_star][INFO] - + Iteration 9/10
47
- [PROC-0][2024-10-01 19:03:26,190][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
- [PROC-0][2024-10-01 19:03:26,192][energy_star][INFO] - + Iteration 10/10
49
- [PROC-0][2024-10-01 19:03:30,198][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
- [PROC-0][2024-10-01 19:03:30,200][energy][INFO] - + forward energy consumption:
51
- [PROC-0][2024-10-01 19:03:30,200][energy][INFO] - + CPU: 0.000043 (kWh)
52
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + GPU: 0.000167 (kWh)
53
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + RAM: 0.000000 (kWh)
54
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + total: 0.000210 (kWh)
55
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + forward_iteration_1 energy consumption:
56
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + CPU: 0.000048 (kWh)
57
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + GPU: 0.000184 (kWh)
58
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + RAM: 0.000000 (kWh)
59
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + total: 0.000233 (kWh)
60
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + forward_iteration_2 energy consumption:
61
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + CPU: 0.000048 (kWh)
62
- [PROC-0][2024-10-01 19:03:30,201][energy][INFO] - + GPU: 0.000181 (kWh)
63
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + RAM: 0.000000 (kWh)
64
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + total: 0.000230 (kWh)
65
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + forward_iteration_3 energy consumption:
66
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + CPU: 0.000048 (kWh)
67
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + GPU: 0.000187 (kWh)
68
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + RAM: 0.000000 (kWh)
69
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + total: 0.000235 (kWh)
70
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + forward_iteration_4 energy consumption:
71
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + CPU: 0.000049 (kWh)
72
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + GPU: 0.000186 (kWh)
73
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + RAM: 0.000000 (kWh)
74
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + total: 0.000235 (kWh)
75
- [PROC-0][2024-10-01 19:03:30,202][energy][INFO] - + forward_iteration_5 energy consumption:
76
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + CPU: 0.000049 (kWh)
77
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + GPU: 0.000187 (kWh)
78
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + RAM: 0.000000 (kWh)
79
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + total: 0.000236 (kWh)
80
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + forward_iteration_6 energy consumption:
81
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + CPU: 0.000048 (kWh)
82
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + GPU: 0.000185 (kWh)
83
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + RAM: 0.000000 (kWh)
84
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + total: 0.000233 (kWh)
85
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + forward_iteration_7 energy consumption:
86
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + CPU: 0.000000 (kWh)
87
- [PROC-0][2024-10-01 19:03:30,203][energy][INFO] - + GPU: 0.000000 (kWh)
88
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + RAM: 0.000000 (kWh)
89
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + total: 0.000000 (kWh)
90
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + forward_iteration_8 energy consumption:
91
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + CPU: 0.000048 (kWh)
92
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + GPU: 0.000186 (kWh)
93
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + RAM: 0.000000 (kWh)
94
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + total: 0.000234 (kWh)
95
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + forward_iteration_9 energy consumption:
96
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + CPU: 0.000047 (kWh)
97
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + GPU: 0.000188 (kWh)
98
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + RAM: 0.000000 (kWh)
99
- [PROC-0][2024-10-01 19:03:30,204][energy][INFO] - + total: 0.000235 (kWh)
100
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + forward_iteration_10 energy consumption:
101
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + CPU: 0.000047 (kWh)
102
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + GPU: 0.000186 (kWh)
103
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + RAM: 0.000000 (kWh)
104
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + total: 0.000234 (kWh)
105
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + preprocess energy consumption:
106
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + CPU: 0.000005 (kWh)
107
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + GPU: 0.000007 (kWh)
108
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + RAM: 0.000000 (kWh)
109
- [PROC-0][2024-10-01 19:03:30,205][energy][INFO] - + total: 0.000013 (kWh)
110
- [PROC-0][2024-10-01 19:03:30,206][energy][INFO] - + forward energy efficiency: 4753317.121386 (samples/kWh)
111
- [PROC-0][2024-10-01 19:03:30,206][energy][INFO] - + preprocess energy efficiency: 79429823.952320 (samples/kWh)
112
- [2024-10-01 19:03:30,837][device-isolation][INFO] - + Closing device(s) isolation process...
113
- [2024-10-01 19:03:30,891][datasets][INFO] - PyTorch version 2.4.0 available.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/experiment_config.json DELETED
@@ -1,107 +0,0 @@
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- "context_column_name": "context",
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- "sentence1_column_name": "sentence1",
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- "sentence2_column_name": "sentence2",
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- "audio_column_name": "audio",
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- "iterations": 10,
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- "warmup_runs": 10,
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- "generate_kwargs": {},
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- "gpu": [
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- "NVIDIA A10G"
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- "gpu_vram_mb": 24146608128,
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- }
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/forward_codecarbon.json DELETED
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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/config.yaml DELETED
@@ -1,94 +0,0 @@
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- backend:
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- name: pytorch
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- _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
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- task: text-classification
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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/hydra.yaml DELETED
@@ -1,173 +0,0 @@
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- hydra:
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- run:
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- dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
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- sweep:
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- dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
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- subdir: ${hydra.job.num}
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- launcher:
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- _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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- max_batch_size: null
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- help:
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- app_name: ${hydra.job.name}
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- header: '${hydra.help.app_name} is powered by Hydra.
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-
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- '
18
- footer: 'Powered by Hydra (https://hydra.cc)
19
-
20
- Use --hydra-help to view Hydra specific help
21
-
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- '
23
- template: '${hydra.help.header}
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-
25
- == Configuration groups ==
26
-
27
- Compose your configuration from those groups (group=option)
28
-
29
-
30
- $APP_CONFIG_GROUPS
31
-
32
-
33
- == Config ==
34
-
35
- Override anything in the config (foo.bar=value)
36
-
37
-
38
- $CONFIG
39
-
40
-
41
- ${hydra.help.footer}
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-
43
- '
44
- hydra_help:
45
- template: 'Hydra (${hydra.runtime.version})
46
-
47
- See https://hydra.cc for more info.
48
-
49
-
50
- == Flags ==
51
-
52
- $FLAGS_HELP
53
-
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-
55
- == Configuration groups ==
56
-
57
- Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
- to command line)
59
-
60
-
61
- $HYDRA_CONFIG_GROUPS
62
-
63
-
64
- Use ''--cfg hydra'' to Show the Hydra config.
65
-
66
- '
67
- hydra_help: ???
68
- hydra_logging:
69
- version: 1
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- formatters:
71
- colorlog:
72
- (): colorlog.ColoredFormatter
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- format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
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- handlers:
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- console:
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- - console
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- colorlog:
90
- (): colorlog.ColoredFormatter
91
- format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
92
- - %(message)s'
93
- log_colors:
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- DEBUG: purple
95
- INFO: green
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- WARNING: yellow
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- ERROR: red
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- CRITICAL: red
99
- handlers:
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- class: logging.StreamHandler
102
- formatter: colorlog
103
- stream: ext://sys.stdout
104
- file:
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- class: logging.FileHandler
106
- formatter: simple
107
- filename: ${hydra.job.name}.log
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- root:
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- level: INFO
110
- handlers:
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- - console
112
- - file
113
- disable_existing_loggers: false
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- env: {}
115
- mode: RUN
116
- searchpath: []
117
- callbacks: {}
118
- output_subdir: .hydra
119
- overrides:
120
- hydra:
121
- - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
122
- - hydra.mode=RUN
123
- task: []
124
- job:
125
- name: cli
126
- chdir: true
127
- override_dirname: ''
128
- id: ???
129
- num: ???
130
- config_name: text_classification
131
- env_set:
132
- OVERRIDE_BENCHMARKS: '1'
133
- env_copy: []
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- config:
135
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- item_sep: ','
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- version_base: '1.3'
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- cwd: /
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- config_sources:
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- - path: hydra.conf
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- schema: pkg
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- provider: hydra
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- - path: optimum_benchmark
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- schema: pkg
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- provider: main
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- - path: hydra_plugins.hydra_colorlog.conf
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- schema: pkg
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- provider: hydra-colorlog
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- - path: /optimum-benchmark/examples/energy_star
154
- schema: file
155
- provider: command-line
156
- - path: ''
157
- schema: structured
158
- provider: schema
159
- output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43
160
- choices:
161
- benchmark: energy_star
162
- launcher: process
163
- backend: pytorch
164
- hydra/env: default
165
- hydra/callbacks: null
166
- hydra/job_logging: colorlog
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- hydra/hydra_logging: colorlog
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- hydra/hydra_help: default
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- hydra/help: default
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- hydra/sweeper: basic
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- hydra/launcher: basic
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- hydra/output: default
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- verbose: false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/overrides.yaml DELETED
@@ -1 +0,0 @@
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- []
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/benchmark_report.json DELETED
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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/cli.log DELETED
@@ -1,113 +0,0 @@
1
- [2024-10-01 19:10:43,629][launcher][INFO] - ََAllocating process launcher
2
- [2024-10-01 19:10:43,630][process][INFO] - + Setting multiprocessing start method to spawn.
3
- [2024-10-01 19:10:43,640][device-isolation][INFO] - + Launched device(s) isolation process 66
4
- [2024-10-01 19:10:43,640][device-isolation][INFO] - + Isolating device(s) [0]
5
- [2024-10-01 19:10:43,646][process][INFO] - + Launched benchmark in isolated process 67.
6
- [PROC-0][2024-10-01 19:10:46,225][datasets][INFO] - PyTorch version 2.4.0 available.
7
- [PROC-0][2024-10-01 19:10:47,152][backend][INFO] - َAllocating pytorch backend
8
- [PROC-0][2024-10-01 19:10:47,152][backend][INFO] - + Setting random seed to 42
9
- [PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
- [PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - + Creating backend temporary directory
11
- [PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - + Loading model with random weights
12
- [PROC-0][2024-10-01 19:10:47,447][pytorch][INFO] - + Creating no weights model
13
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14
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15
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16
- [PROC-0][2024-10-01 19:10:47,449][pytorch][INFO] - + Saving no weights model pretrained config
17
- [PROC-0][2024-10-01 19:10:47,450][pytorch][INFO] - + Loading no weights AutoModel
18
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19
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20
- [PROC-0][2024-10-01 19:10:47,715][benchmark][INFO] - Allocating energy_star benchmark
21
- [PROC-0][2024-10-01 19:10:47,716][energy_star][INFO] - + Loading raw dataset
22
- [PROC-0][2024-10-01 19:10:48,367][energy_star][INFO] - + Initializing Inference report
23
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24
- [PROC-0][2024-10-01 19:10:52,549][energy_star][INFO] - + Preprocessing dataset
25
- [PROC-0][2024-10-01 19:10:52,979][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
- [PROC-0][2024-10-01 19:10:52,982][energy_star][INFO] - + Preparing backend for Inference
27
- [PROC-0][2024-10-01 19:10:52,982][energy_star][INFO] - + Initialising dataloader
28
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29
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30
- [PROC-0][2024-10-01 19:10:53,580][energy_star][INFO] - + Iteration 1/10
31
- [PROC-0][2024-10-01 19:10:57,604][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
- [PROC-0][2024-10-01 19:10:57,607][energy_star][INFO] - + Iteration 2/10
33
- [PROC-0][2024-10-01 19:11:01,606][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
- [PROC-0][2024-10-01 19:11:01,609][energy_star][INFO] - + Iteration 3/10
35
- [PROC-0][2024-10-01 19:11:05,612][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
- [PROC-0][2024-10-01 19:11:05,615][energy_star][INFO] - + Iteration 4/10
37
- [PROC-0][2024-10-01 19:11:09,588][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
- [PROC-0][2024-10-01 19:11:09,591][energy_star][INFO] - + Iteration 5/10
39
- [PROC-0][2024-10-01 19:11:13,567][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
- [PROC-0][2024-10-01 19:11:13,569][energy_star][INFO] - + Iteration 6/10
41
- [PROC-0][2024-10-01 19:11:17,565][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
- [PROC-0][2024-10-01 19:11:17,568][energy_star][INFO] - + Iteration 7/10
43
- [PROC-0][2024-10-01 19:11:21,531][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
- [PROC-0][2024-10-01 19:11:21,534][energy_star][INFO] - + Iteration 8/10
45
- [PROC-0][2024-10-01 19:11:25,538][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
- [PROC-0][2024-10-01 19:11:25,540][energy_star][INFO] - + Iteration 9/10
47
- [PROC-0][2024-10-01 19:11:29,469][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
- [PROC-0][2024-10-01 19:11:29,472][energy_star][INFO] - + Iteration 10/10
49
- [PROC-0][2024-10-01 19:11:33,433][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
- [PROC-0][2024-10-01 19:11:33,436][energy][INFO] - + forward energy consumption:
51
- [PROC-0][2024-10-01 19:11:33,436][energy][INFO] - + CPU: 0.000042 (kWh)
52
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55
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + forward_iteration_1 energy consumption:
56
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + CPU: 0.000047 (kWh)
57
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + GPU: 0.000182 (kWh)
58
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + RAM: 0.000000 (kWh)
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- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + total: 0.000230 (kWh)
60
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + forward_iteration_2 energy consumption:
61
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + CPU: 0.000047 (kWh)
62
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + GPU: 0.000185 (kWh)
63
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + RAM: 0.000000 (kWh)
64
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + total: 0.000233 (kWh)
65
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + forward_iteration_3 energy consumption:
66
- [PROC-0][2024-10-01 19:11:33,437][energy][INFO] - + CPU: 0.000047 (kWh)
67
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + GPU: 0.000185 (kWh)
68
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + RAM: 0.000000 (kWh)
69
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + total: 0.000233 (kWh)
70
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + forward_iteration_4 energy consumption:
71
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + CPU: 0.000047 (kWh)
72
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + GPU: 0.000188 (kWh)
73
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + RAM: 0.000000 (kWh)
74
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + total: 0.000235 (kWh)
75
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + forward_iteration_5 energy consumption:
76
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + CPU: 0.000047 (kWh)
77
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + GPU: 0.000188 (kWh)
78
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + RAM: 0.000000 (kWh)
79
- [PROC-0][2024-10-01 19:11:33,438][energy][INFO] - + total: 0.000235 (kWh)
80
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + forward_iteration_6 energy consumption:
81
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + CPU: 0.000047 (kWh)
82
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + GPU: 0.000191 (kWh)
83
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + RAM: 0.000000 (kWh)
84
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85
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + forward_iteration_7 energy consumption:
86
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + CPU: 0.000000 (kWh)
87
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + GPU: 0.000000 (kWh)
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- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + forward_iteration_8 energy consumption:
91
- [PROC-0][2024-10-01 19:11:33,439][energy][INFO] - + CPU: 0.000047 (kWh)
92
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + GPU: 0.000191 (kWh)
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- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + forward_iteration_9 energy consumption:
96
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + CPU: 0.000046 (kWh)
97
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + GPU: 0.000189 (kWh)
98
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99
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + total: 0.000236 (kWh)
100
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + forward_iteration_10 energy consumption:
101
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + CPU: 0.000047 (kWh)
102
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + GPU: 0.000193 (kWh)
103
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104
- [PROC-0][2024-10-01 19:11:33,440][energy][INFO] - + total: 0.000241 (kWh)
105
- [PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + preprocess energy consumption:
106
- [PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + CPU: 0.000005 (kWh)
107
- [PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + GPU: 0.000008 (kWh)
108
- [PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + RAM: 0.000000 (kWh)
109
- [PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + total: 0.000013 (kWh)
110
- [PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + forward energy efficiency: 4719497.649372 (samples/kWh)
111
- [PROC-0][2024-10-01 19:11:33,441][energy][INFO] - + preprocess energy efficiency: 78583730.242303 (samples/kWh)
112
- [2024-10-01 19:11:34,040][device-isolation][INFO] - + Closing device(s) isolation process...
113
- [2024-10-01 19:11:34,093][datasets][INFO] - PyTorch version 2.4.0 available.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/config.yaml DELETED
@@ -1,94 +0,0 @@
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- _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
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- name: energy_star
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- gpu_vram_mb: 24146608128
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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/hydra.yaml DELETED
@@ -1,173 +0,0 @@
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- hydra:
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- run:
3
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- dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
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-
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- '
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- footer: 'Powered by Hydra (https://hydra.cc)
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-
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- Use --hydra-help to view Hydra specific help
21
-
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- '
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- template: '${hydra.help.header}
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-
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- == Configuration groups ==
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-
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- Compose your configuration from those groups (group=option)
28
-
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-
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- $APP_CONFIG_GROUPS
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-
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-
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- == Config ==
34
-
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- Override anything in the config (foo.bar=value)
36
-
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-
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- $CONFIG
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-
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-
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- ${hydra.help.footer}
42
-
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- '
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-
47
- See https://hydra.cc for more info.
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-
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-
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-
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- $FLAGS_HELP
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-
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-
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- == Configuration groups ==
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-
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- Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
- to command line)
59
-
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-
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- $HYDRA_CONFIG_GROUPS
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-
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-
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- Use ''--cfg hydra'' to Show the Hydra config.
65
-
66
- '
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- hydra_help: ???
68
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69
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- formatters:
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72
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- handlers:
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- console:
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- handlers:
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- env: {}
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- mode: RUN
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- output_subdir: .hydra
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- overrides:
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- hydra:
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- - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
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- - hydra.mode=RUN
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- task: []
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- job:
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- name: cli
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- chdir: true
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- override_dirname: ''
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- id: ???
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- num: ???
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- config_name: text_classification
131
- env_set:
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- - path: hydra.conf
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- provider: hydra
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- - path: optimum_benchmark
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- provider: main
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- - path: hydra_plugins.hydra_colorlog.conf
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- schema: pkg
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- provider: hydra-colorlog
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- schema: file
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- provider: schema
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- output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38
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- choices:
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- benchmark: energy_star
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- launcher: process
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- backend: pytorch
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- hydra/env: default
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- verbose: false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/overrides.yaml DELETED
@@ -1 +0,0 @@
1
- []
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/cli.log DELETED
@@ -1,30 +0,0 @@
1
- [2024-10-01 19:11:38,705][launcher][INFO] - ََAllocating process launcher
2
- [2024-10-01 19:11:38,706][process][INFO] - + Setting multiprocessing start method to spawn.
3
- [2024-10-01 19:11:38,718][device-isolation][INFO] - + Launched device(s) isolation process 66
4
- [2024-10-01 19:11:38,718][device-isolation][INFO] - + Isolating device(s) [0]
5
- [2024-10-01 19:11:38,725][process][INFO] - + Launched benchmark in isolated process 67.
6
- [PROC-0][2024-10-01 19:11:41,368][datasets][INFO] - PyTorch version 2.4.0 available.
7
- [PROC-0][2024-10-01 19:11:42,337][backend][INFO] - َAllocating pytorch backend
8
- [PROC-0][2024-10-01 19:11:42,338][backend][INFO] - + Setting random seed to 42
9
- [PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
- [PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Creating backend temporary directory
11
- [PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Loading model with random weights
12
- [PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Creating no weights model
13
- [PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Creating no weights model directory
14
- [PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - + Creating no weights model state dict
15
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16
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18
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19
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20
- [PROC-0][2024-10-01 19:11:42,925][benchmark][INFO] - Allocating energy_star benchmark
21
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22
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23
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- [PROC-0][2024-10-01 19:11:47,649][energy_star][INFO] - + Preprocessing dataset
25
- [PROC-0][2024-10-01 19:11:48,079][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
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27
- [PROC-0][2024-10-01 19:11:48,082][energy_star][INFO] - + Initialising dataloader
28
- [PROC-0][2024-10-01 19:11:48,082][energy_star][INFO] - + Warming up backend for Inference
29
- [PROC-0][2024-10-01 19:11:48,570][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
- [PROC-0][2024-10-01 19:11:48,570][energy_star][INFO] - + Iteration 1/10
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- [2024-10-01 19:17:35,237][launcher][INFO] - ََAllocating process launcher
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- [2024-10-01 19:17:35,237][process][INFO] - + Setting multiprocessing start method to spawn.
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- [PROC-0][2024-10-01 19:17:37,871][datasets][INFO] - PyTorch version 2.4.0 available.
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- [PROC-0][2024-10-01 19:17:49,243][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
- [PROC-0][2024-10-01 19:17:49,246][energy_star][INFO] - + Iteration 2/10
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- [PROC-0][2024-10-01 19:17:53,228][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
- [PROC-0][2024-10-01 19:17:53,233][energy_star][INFO] - + Iteration 3/10
35
- [PROC-0][2024-10-01 19:17:57,193][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
- [PROC-0][2024-10-01 19:17:57,196][energy_star][INFO] - + Iteration 4/10
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- [PROC-0][2024-10-01 19:18:01,160][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
- [PROC-0][2024-10-01 19:18:01,163][energy_star][INFO] - + Iteration 5/10
39
- [PROC-0][2024-10-01 19:18:05,124][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
- [PROC-0][2024-10-01 19:18:05,127][energy_star][INFO] - + Iteration 6/10
41
- [PROC-0][2024-10-01 19:18:09,169][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
- [PROC-0][2024-10-01 19:18:09,172][energy_star][INFO] - + Iteration 7/10
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- [PROC-0][2024-10-01 19:18:13,182][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
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- [PROC-0][2024-10-01 19:18:13,185][energy_star][INFO] - + Iteration 8/10
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- [PROC-0][2024-10-01 19:18:17,240][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
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- [PROC-0][2024-10-01 19:18:17,243][energy_star][INFO] - + Iteration 9/10
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- [PROC-0][2024-10-01 19:18:21,315][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
- [PROC-0][2024-10-01 19:18:21,319][energy_star][INFO] - + Iteration 10/10
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- [PROC-0][2024-10-01 19:18:25,364][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
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77
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107
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108
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109
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110
- [PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + forward energy efficiency: 4775987.632850 (samples/kWh)
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- [PROC-0][2024-10-01 19:18:25,373][energy][INFO] - + preprocess energy efficiency: 80040377.995914 (samples/kWh)
112
- [2024-10-01 19:18:26,002][device-isolation][INFO] - + Closing device(s) isolation process...
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- [2024-10-01 19:18:26,056][datasets][INFO] - PyTorch version 2.4.0 available.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/experiment_config.json DELETED
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9
- sweeper:
10
- _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
- max_batch_size: null
12
- params: null
13
- help:
14
- app_name: ${hydra.job.name}
15
- header: '${hydra.help.app_name} is powered by Hydra.
16
-
17
- '
18
- footer: 'Powered by Hydra (https://hydra.cc)
19
-
20
- Use --hydra-help to view Hydra specific help
21
-
22
- '
23
- template: '${hydra.help.header}
24
-
25
- == Configuration groups ==
26
-
27
- Compose your configuration from those groups (group=option)
28
-
29
-
30
- $APP_CONFIG_GROUPS
31
-
32
-
33
- == Config ==
34
-
35
- Override anything in the config (foo.bar=value)
36
-
37
-
38
- $CONFIG
39
-
40
-
41
- ${hydra.help.footer}
42
-
43
- '
44
- hydra_help:
45
- template: 'Hydra (${hydra.runtime.version})
46
-
47
- See https://hydra.cc for more info.
48
-
49
-
50
- == Flags ==
51
-
52
- $FLAGS_HELP
53
-
54
-
55
- == Configuration groups ==
56
-
57
- Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
- to command line)
59
-
60
-
61
- $HYDRA_CONFIG_GROUPS
62
-
63
-
64
- Use ''--cfg hydra'' to Show the Hydra config.
65
-
66
- '
67
- hydra_help: ???
68
- hydra_logging:
69
- version: 1
70
- formatters:
71
- colorlog:
72
- (): colorlog.ColoredFormatter
73
- format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
74
- handlers:
75
- console:
76
- class: logging.StreamHandler
77
- formatter: colorlog
78
- stream: ext://sys.stdout
79
- root:
80
- level: INFO
81
- handlers:
82
- - console
83
- disable_existing_loggers: false
84
- job_logging:
85
- version: 1
86
- formatters:
87
- simple:
88
- format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
89
- colorlog:
90
- (): colorlog.ColoredFormatter
91
- format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
92
- - %(message)s'
93
- log_colors:
94
- DEBUG: purple
95
- INFO: green
96
- WARNING: yellow
97
- ERROR: red
98
- CRITICAL: red
99
- handlers:
100
- console:
101
- class: logging.StreamHandler
102
- formatter: colorlog
103
- stream: ext://sys.stdout
104
- file:
105
- class: logging.FileHandler
106
- formatter: simple
107
- filename: ${hydra.job.name}.log
108
- root:
109
- level: INFO
110
- handlers:
111
- - console
112
- - file
113
- disable_existing_loggers: false
114
- env: {}
115
- mode: RUN
116
- searchpath: []
117
- callbacks: {}
118
- output_subdir: .hydra
119
- overrides:
120
- hydra:
121
- - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
122
- - hydra.mode=RUN
123
- task: []
124
- job:
125
- name: cli
126
- chdir: true
127
- override_dirname: ''
128
- id: ???
129
- num: ???
130
- config_name: text_classification
131
- env_set:
132
- OVERRIDE_BENCHMARKS: '1'
133
- env_copy: []
134
- config:
135
- override_dirname:
136
- kv_sep: '='
137
- item_sep: ','
138
- exclude_keys: []
139
- runtime:
140
- version: 1.3.2
141
- version_base: '1.3'
142
- cwd: /
143
- config_sources:
144
- - path: hydra.conf
145
- schema: pkg
146
- provider: hydra
147
- - path: optimum_benchmark
148
- schema: pkg
149
- provider: main
150
- - path: hydra_plugins.hydra_colorlog.conf
151
- schema: pkg
152
- provider: hydra-colorlog
153
- - path: /optimum-benchmark/examples/energy_star
154
- schema: file
155
- provider: command-line
156
- - path: ''
157
- schema: structured
158
- provider: schema
159
- output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19
160
- choices:
161
- benchmark: energy_star
162
- launcher: process
163
- backend: pytorch
164
- hydra/env: default
165
- hydra/callbacks: null
166
- hydra/job_logging: colorlog
167
- hydra/hydra_logging: colorlog
168
- hydra/hydra_help: default
169
- hydra/help: default
170
- hydra/sweeper: basic
171
- hydra/launcher: basic
172
- hydra/output: default
173
- verbose: false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/overrides.yaml DELETED
@@ -1 +0,0 @@
1
- []
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/benchmark_report.json DELETED
@@ -1,107 +0,0 @@
1
- {
2
- "forward": {
3
- "memory": null,
4
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5
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7
- "unit": "kWh",
8
- "cpu": 4.266393853194031e-05,
9
- "ram": 3.4665989535233225e-07,
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- "gpu": 0.00016836457913599334,
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- "total": 0.00021137517756328596
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- },
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- "efficiency": {
14
- "unit": "samples/kWh",
15
- "value": 4730924.470545265
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- },
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- "measures": [
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- {
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- "unit": "kWh",
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- "cpu": 4.7530642727077886e-05,
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- "ram": 3.8606025568381555e-07,
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- "total": 0.00023330185129077655
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- },
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- {
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- "unit": "kWh",
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- "cpu": 4.738324727292012e-05,
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- "ram": 3.849445379185505e-07,
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- "gpu": 0.0001832601466079664,
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- "total": 0.00023102833841880512
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- },
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- {
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- "unit": "kWh",
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- "cpu": 4.739282785904935e-05,
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- "ram": 3.8512579460033693e-07,
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- "gpu": 0.00018434098080599703,
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- {
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- "unit": "kWh",
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- "cpu": 4.697727643540223e-05,
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- "ram": 3.817560603545082e-07,
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- "gpu": 0.0001861507044760291,
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- },
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- {
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- "unit": "kWh",
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- "cpu": 4.7635639366671966e-05,
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- "ram": 3.871280953400939e-07,
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- "gpu": 0.0001859029265000034,
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- "total": 0.00023392569396201552
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- },
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- {
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- "unit": "kWh",
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- "cpu": 4.691363451527451e-05,
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- "ram": 3.8125916546713195e-07,
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- "gpu": 0.00018823459503192197,
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- "total": 0.0002355294887126636
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- },
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- {
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- "unit": "kWh",
62
- "cpu": 0.0,
63
- "ram": 0.0,
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- "gpu": 0.0,
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- "total": 0.0
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- },
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- {
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- "unit": "kWh",
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- "cpu": 4.7470307519451016e-05,
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- "ram": 3.857454732798674e-07,
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- "gpu": 0.00018852265081792385,
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- "total": 0.0002363787038106547
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- },
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- {
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- "unit": "kWh",
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- "cpu": 4.797277234024983e-05,
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- "ram": 3.89746227983841e-07,
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- "gpu": 0.00019253932069807078,
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- "total": 0.00024090183926630442
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- },
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- {
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- "unit": "kWh",
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- "cpu": 4.736303728330619e-05,
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- "ram": 3.8483334289517675e-07,
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- "gpu": 0.00018930931811400598,
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- "total": 0.0002370571887402072
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- }
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- ]
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- },
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- "preprocess": {
91
- "memory": null,
92
- "latency": null,
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- "throughput": null,
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- "energy": {
95
- "unit": "kWh",
96
- "cpu": 5.02041641244533e-06,
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- "ram": 3.224512999262444e-08,
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- "gpu": 7.722228399953401e-06,
99
- "total": 1.2774889942391356e-05
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- },
101
- "efficiency": {
102
- "unit": "samples/kWh",
103
- "value": 78278560.87289377
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- },
105
- "measures": null
106
- }
107
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/cli.log DELETED
@@ -1,113 +0,0 @@
1
- [2024-10-01 19:21:19,583][launcher][INFO] - ََAllocating process launcher
2
- [2024-10-01 19:21:19,583][process][INFO] - + Setting multiprocessing start method to spawn.
3
- [2024-10-01 19:21:19,594][device-isolation][INFO] - + Launched device(s) isolation process 66
4
- [2024-10-01 19:21:19,595][device-isolation][INFO] - + Isolating device(s) [0]
5
- [2024-10-01 19:21:19,602][process][INFO] - + Launched benchmark in isolated process 67.
6
- [PROC-0][2024-10-01 19:21:22,226][datasets][INFO] - PyTorch version 2.4.0 available.
7
- [PROC-0][2024-10-01 19:21:23,166][backend][INFO] - َAllocating pytorch backend
8
- [PROC-0][2024-10-01 19:21:23,166][backend][INFO] - + Setting random seed to 42
9
- [PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
- [PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Creating backend temporary directory
11
- [PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Loading model with random weights
12
- [PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Creating no weights model
13
- [PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - + Creating no weights model directory
14
- [PROC-0][2024-10-01 19:21:24,203][pytorch][INFO] - + Creating no weights model state dict
15
- [PROC-0][2024-10-01 19:21:24,205][pytorch][INFO] - + Saving no weights model safetensors
16
- [PROC-0][2024-10-01 19:21:24,205][pytorch][INFO] - + Saving no weights model pretrained config
17
- [PROC-0][2024-10-01 19:21:24,206][pytorch][INFO] - + Loading no weights AutoModel
18
- [PROC-0][2024-10-01 19:21:24,206][pytorch][INFO] - + Loading model directly on device: cuda
19
- [PROC-0][2024-10-01 19:21:24,479][pytorch][INFO] - + Turning on model's eval mode
20
- [PROC-0][2024-10-01 19:21:24,485][benchmark][INFO] - Allocating energy_star benchmark
21
- [PROC-0][2024-10-01 19:21:24,485][energy_star][INFO] - + Loading raw dataset
22
- [PROC-0][2024-10-01 19:21:25,223][energy_star][INFO] - + Initializing Inference report
23
- [PROC-0][2024-10-01 19:21:25,223][energy][INFO] - + Tracking GPU energy on devices [0]
24
- [PROC-0][2024-10-01 19:21:29,422][energy_star][INFO] - + Preprocessing dataset
25
- [PROC-0][2024-10-01 19:21:29,850][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
- [PROC-0][2024-10-01 19:21:29,853][energy_star][INFO] - + Preparing backend for Inference
27
- [PROC-0][2024-10-01 19:21:29,853][energy_star][INFO] - + Initialising dataloader
28
- [PROC-0][2024-10-01 19:21:29,854][energy_star][INFO] - + Warming up backend for Inference
29
- [PROC-0][2024-10-01 19:21:30,349][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
- [PROC-0][2024-10-01 19:21:30,349][energy_star][INFO] - + Iteration 1/10
31
- [PROC-0][2024-10-01 19:21:34,378][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
- [PROC-0][2024-10-01 19:21:34,380][energy_star][INFO] - + Iteration 2/10
33
- [PROC-0][2024-10-01 19:21:38,397][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
- [PROC-0][2024-10-01 19:21:38,401][energy_star][INFO] - + Iteration 3/10
35
- [PROC-0][2024-10-01 19:21:42,418][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
- [PROC-0][2024-10-01 19:21:42,421][energy_star][INFO] - + Iteration 4/10
37
- [PROC-0][2024-10-01 19:21:46,404][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
- [PROC-0][2024-10-01 19:21:46,407][energy_star][INFO] - + Iteration 5/10
39
- [PROC-0][2024-10-01 19:21:50,445][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
- [PROC-0][2024-10-01 19:21:50,448][energy_star][INFO] - + Iteration 6/10
41
- [PROC-0][2024-10-01 19:21:54,425][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
- [PROC-0][2024-10-01 19:21:54,427][energy_star][INFO] - + Iteration 7/10
43
- [PROC-0][2024-10-01 19:21:58,411][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
- [PROC-0][2024-10-01 19:21:58,414][energy_star][INFO] - + Iteration 8/10
45
- [PROC-0][2024-10-01 19:22:02,438][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
- [PROC-0][2024-10-01 19:22:02,442][energy_star][INFO] - + Iteration 9/10
47
- [PROC-0][2024-10-01 19:22:06,509][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
- [PROC-0][2024-10-01 19:22:06,512][energy_star][INFO] - + Iteration 10/10
49
- [PROC-0][2024-10-01 19:22:10,527][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + forward energy consumption:
51
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + CPU: 0.000043 (kWh)
52
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + GPU: 0.000168 (kWh)
53
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + RAM: 0.000000 (kWh)
54
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + total: 0.000211 (kWh)
55
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + forward_iteration_1 energy consumption:
56
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + CPU: 0.000048 (kWh)
57
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + GPU: 0.000185 (kWh)
58
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + RAM: 0.000000 (kWh)
59
- [PROC-0][2024-10-01 19:22:10,530][energy][INFO] - + total: 0.000233 (kWh)
60
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + forward_iteration_2 energy consumption:
61
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + CPU: 0.000047 (kWh)
62
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + GPU: 0.000183 (kWh)
63
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + RAM: 0.000000 (kWh)
64
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + total: 0.000231 (kWh)
65
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + forward_iteration_3 energy consumption:
66
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + CPU: 0.000047 (kWh)
67
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + GPU: 0.000184 (kWh)
68
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + RAM: 0.000000 (kWh)
69
- [PROC-0][2024-10-01 19:22:10,531][energy][INFO] - + total: 0.000232 (kWh)
70
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + forward_iteration_4 energy consumption:
71
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + CPU: 0.000047 (kWh)
72
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + GPU: 0.000186 (kWh)
73
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + RAM: 0.000000 (kWh)
74
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + total: 0.000234 (kWh)
75
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + forward_iteration_5 energy consumption:
76
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + CPU: 0.000048 (kWh)
77
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + GPU: 0.000186 (kWh)
78
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + RAM: 0.000000 (kWh)
79
- [PROC-0][2024-10-01 19:22:10,532][energy][INFO] - + total: 0.000234 (kWh)
80
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + forward_iteration_6 energy consumption:
81
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + CPU: 0.000047 (kWh)
82
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + GPU: 0.000188 (kWh)
83
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + RAM: 0.000000 (kWh)
84
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + total: 0.000236 (kWh)
85
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + forward_iteration_7 energy consumption:
86
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + CPU: 0.000000 (kWh)
87
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + GPU: 0.000000 (kWh)
88
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + RAM: 0.000000 (kWh)
89
- [PROC-0][2024-10-01 19:22:10,533][energy][INFO] - + total: 0.000000 (kWh)
90
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + forward_iteration_8 energy consumption:
91
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + CPU: 0.000047 (kWh)
92
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + GPU: 0.000189 (kWh)
93
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + RAM: 0.000000 (kWh)
94
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + total: 0.000236 (kWh)
95
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + forward_iteration_9 energy consumption:
96
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + CPU: 0.000048 (kWh)
97
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + GPU: 0.000193 (kWh)
98
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + RAM: 0.000000 (kWh)
99
- [PROC-0][2024-10-01 19:22:10,534][energy][INFO] - + total: 0.000241 (kWh)
100
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + forward_iteration_10 energy consumption:
101
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + CPU: 0.000047 (kWh)
102
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + GPU: 0.000189 (kWh)
103
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + RAM: 0.000000 (kWh)
104
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + total: 0.000237 (kWh)
105
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + preprocess energy consumption:
106
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + CPU: 0.000005 (kWh)
107
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + GPU: 0.000008 (kWh)
108
- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + RAM: 0.000000 (kWh)
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- [PROC-0][2024-10-01 19:22:10,535][energy][INFO] - + total: 0.000013 (kWh)
110
- [PROC-0][2024-10-01 19:22:10,536][energy][INFO] - + forward energy efficiency: 4730924.470545 (samples/kWh)
111
- [PROC-0][2024-10-01 19:22:10,536][energy][INFO] - + preprocess energy efficiency: 78278560.872894 (samples/kWh)
112
- [2024-10-01 19:22:11,131][device-isolation][INFO] - + Closing device(s) isolation process...
113
- [2024-10-01 19:22:11,179][datasets][INFO] - PyTorch version 2.4.0 available.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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