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  1. text_classification/lvwerra/distilbert-imdb/.hydra/hydra.yaml +7 -5
  2. text_classification/lvwerra/distilbert-imdb/.hydra/overrides.yaml +2 -1
  3. text_classification/lvwerra/distilbert-imdb/benchmark_report.json +46 -46
  4. text_classification/lvwerra/distilbert-imdb/cli.log +113 -423
  5. text_classification/lvwerra/distilbert-imdb/forward_codecarbon.json +11 -11
  6. text_classification/lvwerra/distilbert-imdb/preprocess_codecarbon.json +11 -11
  7. text_generation/facebook/opt-125m/.hydra/config.yaml +96 -0
  8. text_generation/facebook/opt-125m/.hydra/hydra.yaml +175 -0
  9. text_generation/facebook/opt-125m/.hydra/overrides.yaml +2 -0
  10. text_generation/facebook/opt-125m/benchmark_report.json +203 -0
  11. text_generation/facebook/opt-125m/cli.log +188 -0
  12. text_generation/facebook/opt-125m/experiment_config.json +110 -0
  13. text_generation/facebook/opt-125m/generate_codecarbon.json +33 -0
  14. text_generation/facebook/opt-125m/prefill_codecarbon.json +33 -0
  15. text_generation/facebook/opt-125m/preprocess_codecarbon.json +33 -0
text_classification/lvwerra/distilbert-imdb/.hydra/hydra.yaml CHANGED
@@ -1,6 +1,6 @@
1
  hydra:
2
  run:
3
- dir: data/runs/text_classification/lvwerra/distilbert-imdb/
4
  sweep:
5
  dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
6
  subdir: ${hydra.job.num}
@@ -118,13 +118,15 @@ hydra:
118
  output_subdir: .hydra
119
  overrides:
120
  hydra:
121
- - hydra.run.dir=data/runs/text_classification/lvwerra/distilbert-imdb/
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
@@ -156,7 +158,7 @@ hydra:
156
  - path: ''
157
  schema: structured
158
  provider: schema
159
- output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb
160
  choices:
161
  benchmark: energy_star
162
  launcher: process
 
1
  hydra:
2
  run:
3
+ dir: ./runs/text_classification/lvwerra/distilbert-imdb/
4
  sweep:
5
  dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
6
  subdir: ${hydra.job.num}
 
118
  output_subdir: .hydra
119
  overrides:
120
  hydra:
121
+ - hydra.run.dir=./runs/text_classification/lvwerra/distilbert-imdb/
122
  - hydra.mode=RUN
123
+ task:
124
+ - backend.model=lvwerra/distilbert-imdb
125
+ - backend.processor=lvwerra/distilbert-imdb
126
  job:
127
  name: cli
128
  chdir: true
129
+ override_dirname: backend.model=lvwerra/distilbert-imdb,backend.processor=lvwerra/distilbert-imdb
130
  id: ???
131
  num: ???
132
  config_name: text_classification
 
158
  - path: ''
159
  schema: structured
160
  provider: schema
161
+ output_dir: /runs/text_classification/lvwerra/distilbert-imdb
162
  choices:
163
  benchmark: energy_star
164
  launcher: process
text_classification/lvwerra/distilbert-imdb/.hydra/overrides.yaml CHANGED
@@ -1 +1,2 @@
1
- []
 
 
1
+ - backend.model=lvwerra/distilbert-imdb
2
+ - backend.processor=lvwerra/distilbert-imdb
text_classification/lvwerra/distilbert-imdb/benchmark_report.json CHANGED
@@ -5,57 +5,57 @@
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  "throughput": null,
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  "energy": {
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  "unit": "kWh",
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- "cpu": 4.2217974067077905e-05,
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- "total": 0.0002094780782985401
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  },
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  "efficiency": {
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- "value": 4773769.208321829
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  },
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  "measures": [
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  {
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  "unit": "kWh",
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- "cpu": 4.712305867267585e-05,
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- "total": 0.00022540505259834942
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  },
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  {
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  "unit": "kWh",
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- "cpu": 4.660298317394335e-05,
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  },
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- "cpu": 4.666898457540407e-05,
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- "total": 0.0002291015642430016
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  },
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  {
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  "unit": "kWh",
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- "cpu": 4.666899602715502e-05,
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  {
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  "unit": "kWh",
@@ -66,24 +66,24 @@
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  },
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  {
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  "unit": "kWh",
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- "cpu": 4.720459533531942e-05,
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  }
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  ]
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  },
@@ -93,14 +93,14 @@
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  "throughput": null,
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  "throughput": null,
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  "energy": {
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  "unit": "kWh",
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+ "value": 4704577.401811491
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  "measures": [
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  "unit": "kWh",
 
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  "throughput": null,
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  "measures": null
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  }
text_classification/lvwerra/distilbert-imdb/cli.log CHANGED
@@ -1,423 +1,113 @@
1
- [2024-10-02 02:01:33,816][launcher][INFO] - ََAllocating process launcher
2
- [2024-10-02 02:01:33,816][process][INFO] - + Setting multiprocessing start method to spawn.
3
- [2024-10-02 02:01:33,825][device-isolation][INFO] - + Launched device(s) isolation process 73
4
- [2024-10-02 02:01:33,826][device-isolation][INFO] - + Isolating device(s) [0]
5
- [2024-10-02 02:01:33,831][process][INFO] - + Launched benchmark in isolated process 74.
6
- [PROC-0][2024-10-02 02:01:36,540][datasets][INFO] - PyTorch version 2.4.0 available.
7
- [PROC-0][2024-10-02 02:01:37,454][backend][INFO] - َAllocating pytorch backend
8
- [PROC-0][2024-10-02 02:01:37,455][backend][INFO] - + Setting random seed to 42
9
- [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
- [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Creating backend temporary directory
11
- [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Loading model with random weights
12
- [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Creating no weights model
13
- [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Creating no weights model directory
14
- [PROC-0][2024-10-02 02:01:37,834][pytorch][INFO] - + Creating no weights model state dict
15
- [PROC-0][2024-10-02 02:01:37,835][pytorch][INFO] - + Saving no weights model safetensors
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- [PROC-0][2024-10-02 02:01:37,836][pytorch][INFO] - + Saving no weights model pretrained config
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- [PROC-0][2024-10-02 02:01:37,837][pytorch][INFO] - + Loading no weights AutoModel
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- [PROC-0][2024-10-02 02:01:37,837][pytorch][INFO] - + Loading model directly on device: cuda
19
- [PROC-0][2024-10-02 02:01:38,086][pytorch][INFO] - + Turning on model's eval mode
20
- [PROC-0][2024-10-02 02:01:38,092][benchmark][INFO] - Allocating energy_star benchmark
21
- [PROC-0][2024-10-02 02:01:38,092][energy_star][INFO] - + Loading raw dataset
22
- [PROC-0][2024-10-02 02:01:39,203][energy_star][INFO] - + Initializing Inference report
23
- [PROC-0][2024-10-02 02:01:39,204][energy][INFO] - + Tracking GPU energy on devices [0]
24
- [PROC-0][2024-10-02 02:01:43,381][energy_star][INFO] - + Preprocessing dataset
25
- [PROC-0][2024-10-02 02:01:43,811][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
- [PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - + Preparing backend for Inference
27
- [PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - + Initialising dataloader
28
- [PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - + Warming up backend for Inference
29
- [PROC-0][2024-10-02 02:01:44,316][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
- [PROC-0][2024-10-02 02:01:44,317][energy_star][INFO] - + Iteration 1/10
31
- [PROC-0][2024-10-02 02:01:48,348][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
- [PROC-0][2024-10-02 02:01:48,351][energy_star][INFO] - + Iteration 2/10
33
- [PROC-0][2024-10-02 02:01:52,353][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
- [PROC-0][2024-10-02 02:01:52,356][energy_star][INFO] - + Iteration 3/10
35
- [PROC-0][2024-10-02 02:01:56,385][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
- [PROC-0][2024-10-02 02:01:56,388][energy_star][INFO] - + Iteration 4/10
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- [PROC-0][2024-10-02 02:02:00,404][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
- [PROC-0][2024-10-02 02:02:00,407][energy_star][INFO] - + Iteration 5/10
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- [PROC-0][2024-10-02 02:02:04,407][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
- [PROC-0][2024-10-02 02:02:04,409][energy_star][INFO] - + Iteration 6/10
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- [PROC-0][2024-10-02 02:02:08,402][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
- [PROC-0][2024-10-02 02:02:08,404][energy_star][INFO] - + Iteration 7/10
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- [PROC-0][2024-10-02 02:02:12,401][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
- [PROC-0][2024-10-02 02:02:12,403][energy_star][INFO] - + Iteration 8/10
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- [PROC-0][2024-10-02 02:02:16,392][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
- [PROC-0][2024-10-02 02:02:16,395][energy_star][INFO] - + Iteration 9/10
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- [PROC-0][2024-10-02 02:02:20,458][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
- [PROC-0][2024-10-02 02:02:20,461][energy_star][INFO] - + Iteration 10/10
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- [PROC-0][2024-10-02 02:02:24,445][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
- [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + forward energy consumption:
51
- [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + CPU: 0.000043 (kWh)
52
- [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + GPU: 0.000171 (kWh)
53
- [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + RAM: 0.000000 (kWh)
54
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + total: 0.000214 (kWh)
55
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + forward_iteration_1 energy consumption:
56
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + CPU: 0.000048 (kWh)
57
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + GPU: 0.000185 (kWh)
58
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + RAM: 0.000000 (kWh)
59
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + total: 0.000233 (kWh)
60
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + forward_iteration_2 energy consumption:
61
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + CPU: 0.000047 (kWh)
62
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + GPU: 0.000190 (kWh)
63
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + RAM: 0.000000 (kWh)
64
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + total: 0.000237 (kWh)
65
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + forward_iteration_3 energy consumption:
66
- [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + CPU: 0.000048 (kWh)
67
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + GPU: 0.000189 (kWh)
68
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + RAM: 0.000000 (kWh)
69
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + total: 0.000237 (kWh)
70
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + forward_iteration_4 energy consumption:
71
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + CPU: 0.000047 (kWh)
72
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + GPU: 0.000189 (kWh)
73
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + RAM: 0.000000 (kWh)
74
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + total: 0.000237 (kWh)
75
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + forward_iteration_5 energy consumption:
76
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + CPU: 0.000047 (kWh)
77
- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + GPU: 0.000191 (kWh)
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- [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + RAM: 0.000000 (kWh)
79
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + total: 0.000238 (kWh)
80
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + forward_iteration_6 energy consumption:
81
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + CPU: 0.000047 (kWh)
82
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + GPU: 0.000191 (kWh)
83
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + RAM: 0.000000 (kWh)
84
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + total: 0.000239 (kWh)
85
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + forward_iteration_7 energy consumption:
86
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + CPU: 0.000000 (kWh)
87
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + GPU: 0.000000 (kWh)
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- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + RAM: 0.000000 (kWh)
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- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + total: 0.000000 (kWh)
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- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + forward_iteration_8 energy consumption:
91
- [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + CPU: 0.000047 (kWh)
92
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + GPU: 0.000193 (kWh)
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- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + RAM: 0.000000 (kWh)
94
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + total: 0.000240 (kWh)
95
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + forward_iteration_9 energy consumption:
96
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + CPU: 0.000048 (kWh)
97
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + GPU: 0.000194 (kWh)
98
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + RAM: 0.000000 (kWh)
99
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + total: 0.000243 (kWh)
100
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + forward_iteration_10 energy consumption:
101
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + CPU: 0.000047 (kWh)
102
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + GPU: 0.000188 (kWh)
103
- [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + RAM: 0.000000 (kWh)
104
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + total: 0.000235 (kWh)
105
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + preprocess energy consumption:
106
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + CPU: 0.000005 (kWh)
107
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + GPU: 0.000008 (kWh)
108
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + RAM: 0.000000 (kWh)
109
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + total: 0.000013 (kWh)
110
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + forward energy efficiency: 4672757.503834 (samples/kWh)
111
- [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + preprocess energy efficiency: 77598695.955478 (samples/kWh)
112
- [2024-10-02 02:02:25,051][device-isolation][INFO] - + Closing device(s) isolation process...
113
- [2024-10-02 02:02:25,100][datasets][INFO] - PyTorch version 2.4.0 available.
114
- [2024-10-02 02:02:30,464][launcher][INFO] - ََAllocating process launcher
115
- [2024-10-02 02:02:30,464][process][INFO] - + Setting multiprocessing start method to spawn.
116
- [2024-10-02 02:02:30,474][device-isolation][INFO] - + Launched device(s) isolation process 73
117
- [2024-10-02 02:02:30,474][device-isolation][INFO] - + Isolating device(s) [0]
118
- [2024-10-02 02:02:30,480][process][INFO] - + Launched benchmark in isolated process 74.
119
- [PROC-0][2024-10-02 02:02:33,041][datasets][INFO] - PyTorch version 2.4.0 available.
120
- [PROC-0][2024-10-02 02:02:33,950][backend][INFO] - َAllocating pytorch backend
121
- [PROC-0][2024-10-02 02:02:33,950][backend][INFO] - + Setting random seed to 42
122
- [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
123
- [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Creating backend temporary directory
124
- [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Loading model with random weights
125
- [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Creating no weights model
126
- [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Creating no weights model directory
127
- [PROC-0][2024-10-02 02:02:34,272][pytorch][INFO] - + Creating no weights model state dict
128
- [PROC-0][2024-10-02 02:02:34,274][pytorch][INFO] - + Saving no weights model safetensors
129
- [PROC-0][2024-10-02 02:02:34,274][pytorch][INFO] - + Saving no weights model pretrained config
130
- [PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - + Loading no weights AutoModel
131
- [PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - + Loading model directly on device: cuda
132
- [PROC-0][2024-10-02 02:02:34,531][pytorch][INFO] - + Turning on model's eval mode
133
- [PROC-0][2024-10-02 02:02:34,537][benchmark][INFO] - Allocating energy_star benchmark
134
- [PROC-0][2024-10-02 02:02:34,537][energy_star][INFO] - + Loading raw dataset
135
- [PROC-0][2024-10-02 02:02:35,106][energy_star][INFO] - + Initializing Inference report
136
- [PROC-0][2024-10-02 02:02:35,106][energy][INFO] - + Tracking GPU energy on devices [0]
137
- [PROC-0][2024-10-02 02:02:39,282][energy_star][INFO] - + Preprocessing dataset
138
- [PROC-0][2024-10-02 02:02:39,711][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
139
- [PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - + Preparing backend for Inference
140
- [PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - + Initialising dataloader
141
- [PROC-0][2024-10-02 02:02:39,714][energy_star][INFO] - + Warming up backend for Inference
142
- [2024-10-02 02:14:00,059][launcher][INFO] - ََAllocating process launcher
143
- [2024-10-02 02:14:00,059][process][INFO] - + Setting multiprocessing start method to spawn.
144
- [2024-10-02 02:14:00,068][device-isolation][INFO] - + Launched device(s) isolation process 73
145
- [2024-10-02 02:14:00,068][device-isolation][INFO] - + Isolating device(s) [0]
146
- [2024-10-02 02:14:00,074][process][INFO] - + Launched benchmark in isolated process 74.
147
- [PROC-0][2024-10-02 02:14:02,696][datasets][INFO] - PyTorch version 2.4.0 available.
148
- [PROC-0][2024-10-02 02:14:03,668][backend][INFO] - َAllocating pytorch backend
149
- [PROC-0][2024-10-02 02:14:03,668][backend][INFO] - + Setting random seed to 42
150
- [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
151
- [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Creating backend temporary directory
152
- [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Loading model with random weights
153
- [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Creating no weights model
154
- [PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - + Creating no weights model directory
155
- [PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - + Creating no weights model state dict
156
- [PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - + Saving no weights model safetensors
157
- [PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - + Saving no weights model pretrained config
158
- [PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - + Loading no weights AutoModel
159
- [PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - + Loading model directly on device: cuda
160
- [PROC-0][2024-10-02 02:14:04,291][pytorch][INFO] - + Turning on model's eval mode
161
- [PROC-0][2024-10-02 02:14:04,297][benchmark][INFO] - Allocating energy_star benchmark
162
- [PROC-0][2024-10-02 02:14:04,298][energy_star][INFO] - + Loading raw dataset
163
- [PROC-0][2024-10-02 02:14:04,945][energy_star][INFO] - + Initializing Inference report
164
- [PROC-0][2024-10-02 02:14:04,946][energy][INFO] - + Tracking GPU energy on devices [0]
165
- [PROC-0][2024-10-02 02:14:09,145][energy_star][INFO] - + Preprocessing dataset
166
- [PROC-0][2024-10-02 02:14:09,571][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
167
- [PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - + Preparing backend for Inference
168
- [PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - + Initialising dataloader
169
- [PROC-0][2024-10-02 02:14:09,574][energy_star][INFO] - + Warming up backend for Inference
170
- [PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
171
- [PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - + Iteration 1/10
172
- [PROC-0][2024-10-02 02:14:14,347][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
173
- [PROC-0][2024-10-02 02:14:14,349][energy_star][INFO] - + Iteration 2/10
174
- [PROC-0][2024-10-02 02:14:18,444][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
175
- [PROC-0][2024-10-02 02:14:18,447][energy_star][INFO] - + Iteration 3/10
176
- [PROC-0][2024-10-02 02:14:22,446][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
177
- [PROC-0][2024-10-02 02:14:22,448][energy_star][INFO] - + Iteration 4/10
178
- [PROC-0][2024-10-02 02:14:26,447][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
179
- [PROC-0][2024-10-02 02:14:26,449][energy_star][INFO] - + Iteration 5/10
180
- [PROC-0][2024-10-02 02:14:30,446][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
181
- [PROC-0][2024-10-02 02:14:30,449][energy_star][INFO] - + Iteration 6/10
182
- [PROC-0][2024-10-02 02:14:34,444][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
183
- [PROC-0][2024-10-02 02:14:34,446][energy_star][INFO] - + Iteration 7/10
184
- [PROC-0][2024-10-02 02:14:38,476][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
185
- [PROC-0][2024-10-02 02:14:38,478][energy_star][INFO] - + Iteration 8/10
186
- [PROC-0][2024-10-02 02:14:42,466][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
187
- [PROC-0][2024-10-02 02:14:42,468][energy_star][INFO] - + Iteration 9/10
188
- [PROC-0][2024-10-02 02:14:46,461][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
189
- [PROC-0][2024-10-02 02:14:46,463][energy_star][INFO] - + Iteration 10/10
190
- [PROC-0][2024-10-02 02:14:50,459][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
191
- [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + forward energy consumption:
192
- [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + CPU: 0.000043 (kWh)
193
- [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + GPU: 0.000167 (kWh)
194
- [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + RAM: 0.000000 (kWh)
195
- [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + total: 0.000210 (kWh)
196
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_1 energy consumption:
197
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000049 (kWh)
198
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000180 (kWh)
199
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + RAM: 0.000000 (kWh)
200
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + total: 0.000230 (kWh)
201
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_2 energy consumption:
202
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000048 (kWh)
203
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000184 (kWh)
204
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + RAM: 0.000000 (kWh)
205
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + total: 0.000233 (kWh)
206
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_3 energy consumption:
207
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000047 (kWh)
208
- [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000184 (kWh)
209
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
210
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000231 (kWh)
211
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + forward_iteration_4 energy consumption:
212
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + CPU: 0.000047 (kWh)
213
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + GPU: 0.000185 (kWh)
214
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
215
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000233 (kWh)
216
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + forward_iteration_5 energy consumption:
217
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + CPU: 0.000047 (kWh)
218
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + GPU: 0.000185 (kWh)
219
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
220
- [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000233 (kWh)
221
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_6 energy consumption:
222
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000047 (kWh)
223
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000186 (kWh)
224
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + RAM: 0.000000 (kWh)
225
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + total: 0.000234 (kWh)
226
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_7 energy consumption:
227
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000000 (kWh)
228
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000000 (kWh)
229
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + RAM: 0.000000 (kWh)
230
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + total: 0.000000 (kWh)
231
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_8 energy consumption:
232
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000047 (kWh)
233
- [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000188 (kWh)
234
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
235
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
236
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + forward_iteration_9 energy consumption:
237
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + CPU: 0.000047 (kWh)
238
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + GPU: 0.000189 (kWh)
239
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
240
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
241
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + forward_iteration_10 energy consumption:
242
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + CPU: 0.000047 (kWh)
243
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + GPU: 0.000189 (kWh)
244
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
245
- [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
246
- [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + preprocess energy consumption:
247
- [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + CPU: 0.000005 (kWh)
248
- [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + GPU: 0.000008 (kWh)
249
- [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + RAM: 0.000000 (kWh)
250
- [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + total: 0.000013 (kWh)
251
- [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + forward energy efficiency: 4758665.708690 (samples/kWh)
252
- [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + preprocess energy efficiency: 78850929.489581 (samples/kWh)
253
- [2024-10-02 02:14:51,058][device-isolation][INFO] - + Closing device(s) isolation process...
254
- [2024-10-02 02:14:51,111][datasets][INFO] - PyTorch version 2.4.0 available.
255
- [2024-10-02 02:14:56,104][launcher][INFO] - ََAllocating process launcher
256
- [2024-10-02 02:14:56,104][process][INFO] - + Setting multiprocessing start method to spawn.
257
- [2024-10-02 02:14:56,114][device-isolation][INFO] - + Launched device(s) isolation process 73
258
- [2024-10-02 02:14:56,115][device-isolation][INFO] - + Isolating device(s) [0]
259
- [2024-10-02 02:14:56,123][process][INFO] - + Launched benchmark in isolated process 74.
260
- [PROC-0][2024-10-02 02:14:58,781][datasets][INFO] - PyTorch version 2.4.0 available.
261
- [PROC-0][2024-10-02 02:14:59,691][backend][INFO] - َAllocating pytorch backend
262
- [PROC-0][2024-10-02 02:14:59,691][backend][INFO] - + Setting random seed to 42
263
- [PROC-0][2024-10-02 02:14:59,991][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
264
- [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating backend temporary directory
265
- [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Loading model with random weights
266
- [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model
267
- [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model directory
268
- [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model state dict
269
- [PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - + Saving no weights model safetensors
270
- [PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - + Saving no weights model pretrained config
271
- [PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - + Loading no weights AutoModel
272
- [PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - + Loading model directly on device: cuda
273
- [PROC-0][2024-10-02 02:15:00,258][pytorch][INFO] - + Turning on model's eval mode
274
- [PROC-0][2024-10-02 02:15:00,264][benchmark][INFO] - Allocating energy_star benchmark
275
- [PROC-0][2024-10-02 02:15:00,264][energy_star][INFO] - + Loading raw dataset
276
- [PROC-0][2024-10-02 02:15:00,835][energy_star][INFO] - + Initializing Inference report
277
- [PROC-0][2024-10-02 02:15:00,836][energy][INFO] - + Tracking GPU energy on devices [0]
278
- [PROC-0][2024-10-02 02:15:05,022][energy_star][INFO] - + Preprocessing dataset
279
- [PROC-0][2024-10-02 02:15:05,450][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
280
- [PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - + Preparing backend for Inference
281
- [PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - + Initialising dataloader
282
- [PROC-0][2024-10-02 02:15:05,453][energy_star][INFO] - + Warming up backend for Inference
283
- [2024-10-02 02:50:10,740][launcher][INFO] - ََAllocating process launcher
284
- [2024-10-02 02:50:10,740][process][INFO] - + Setting multiprocessing start method to spawn.
285
- [2024-10-02 02:50:10,749][device-isolation][INFO] - + Launched device(s) isolation process 73
286
- [2024-10-02 02:50:10,749][device-isolation][INFO] - + Isolating device(s) [0]
287
- [2024-10-02 02:50:10,755][process][INFO] - + Launched benchmark in isolated process 74.
288
- [PROC-0][2024-10-02 02:50:13,394][datasets][INFO] - PyTorch version 2.4.0 available.
289
- [PROC-0][2024-10-02 02:50:14,352][backend][INFO] - َAllocating pytorch backend
290
- [PROC-0][2024-10-02 02:50:14,352][backend][INFO] - + Setting random seed to 42
291
- [PROC-0][2024-10-02 02:50:14,716][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
292
- [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating backend temporary directory
293
- [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Loading model with random weights
294
- [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model
295
- [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model directory
296
- [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model state dict
297
- [PROC-0][2024-10-02 02:50:14,719][pytorch][INFO] - + Saving no weights model safetensors
298
- [PROC-0][2024-10-02 02:50:14,720][pytorch][INFO] - + Saving no weights model pretrained config
299
- [PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - + Loading no weights AutoModel
300
- [PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - + Loading model directly on device: cuda
301
- [PROC-0][2024-10-02 02:50:14,981][pytorch][INFO] - + Turning on model's eval mode
302
- [PROC-0][2024-10-02 02:50:14,987][benchmark][INFO] - Allocating energy_star benchmark
303
- [PROC-0][2024-10-02 02:50:14,987][energy_star][INFO] - + Loading raw dataset
304
- [PROC-0][2024-10-02 02:50:15,784][energy_star][INFO] - + Initializing Inference report
305
- [PROC-0][2024-10-02 02:50:15,784][energy][INFO] - + Tracking GPU energy on devices [0]
306
- [PROC-0][2024-10-02 02:50:19,971][energy_star][INFO] - + Preprocessing dataset
307
- [PROC-0][2024-10-02 02:50:20,399][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
308
- [PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Preparing backend for Inference
309
- [PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Initialising dataloader
310
- [PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Warming up backend for Inference
311
- [PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
312
- [PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - + Iteration 1/10
313
- [PROC-0][2024-10-02 02:50:24,885][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
314
- [PROC-0][2024-10-02 02:50:24,887][energy_star][INFO] - + Iteration 2/10
315
- [PROC-0][2024-10-02 02:50:28,829][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
316
- [PROC-0][2024-10-02 02:50:28,832][energy_star][INFO] - + Iteration 3/10
317
- [PROC-0][2024-10-02 02:50:32,782][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
318
- [PROC-0][2024-10-02 02:50:32,785][energy_star][INFO] - + Iteration 4/10
319
- [PROC-0][2024-10-02 02:50:36,741][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
320
- [PROC-0][2024-10-02 02:50:36,743][energy_star][INFO] - + Iteration 5/10
321
- [PROC-0][2024-10-02 02:50:40,700][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
322
- [PROC-0][2024-10-02 02:50:40,702][energy_star][INFO] - + Iteration 6/10
323
- [PROC-0][2024-10-02 02:50:44,699][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
324
- [PROC-0][2024-10-02 02:50:44,701][energy_star][INFO] - + Iteration 7/10
325
- [PROC-0][2024-10-02 02:50:48,692][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
326
- [PROC-0][2024-10-02 02:50:48,694][energy_star][INFO] - + Iteration 8/10
327
- [PROC-0][2024-10-02 02:50:52,696][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
328
- [PROC-0][2024-10-02 02:50:52,698][energy_star][INFO] - + Iteration 9/10
329
- [PROC-0][2024-10-02 02:50:56,686][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
330
- [PROC-0][2024-10-02 02:50:56,689][energy_star][INFO] - + Iteration 10/10
331
- [PROC-0][2024-10-02 02:51:00,693][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
332
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + forward energy consumption:
333
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + CPU: 0.000042 (kWh)
334
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + GPU: 0.000167 (kWh)
335
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + RAM: 0.000000 (kWh)
336
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + total: 0.000209 (kWh)
337
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + forward_iteration_1 energy consumption:
338
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + CPU: 0.000047 (kWh)
339
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + GPU: 0.000182 (kWh)
340
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + RAM: 0.000000 (kWh)
341
- [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + total: 0.000229 (kWh)
342
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_2 energy consumption:
343
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000046 (kWh)
344
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000179 (kWh)
345
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + RAM: 0.000000 (kWh)
346
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + total: 0.000225 (kWh)
347
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_3 energy consumption:
348
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000047 (kWh)
349
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000187 (kWh)
350
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + RAM: 0.000000 (kWh)
351
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + total: 0.000234 (kWh)
352
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_4 energy consumption:
353
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000047 (kWh)
354
- [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000182 (kWh)
355
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
356
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000229 (kWh)
357
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + forward_iteration_5 energy consumption:
358
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + CPU: 0.000047 (kWh)
359
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + GPU: 0.000188 (kWh)
360
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
361
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000235 (kWh)
362
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + forward_iteration_6 energy consumption:
363
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + CPU: 0.000047 (kWh)
364
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + GPU: 0.000186 (kWh)
365
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
366
- [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000233 (kWh)
367
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_7 energy consumption:
368
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000000 (kWh)
369
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + GPU: 0.000000 (kWh)
370
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + RAM: 0.000000 (kWh)
371
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + total: 0.000000 (kWh)
372
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_8 energy consumption:
373
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000047 (kWh)
374
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + GPU: 0.000188 (kWh)
375
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + RAM: 0.000000 (kWh)
376
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + total: 0.000235 (kWh)
377
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_9 energy consumption:
378
- [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000047 (kWh)
379
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000189 (kWh)
380
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
381
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000237 (kWh)
382
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + forward_iteration_10 energy consumption:
383
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + CPU: 0.000047 (kWh)
384
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000189 (kWh)
385
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
386
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000237 (kWh)
387
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + preprocess energy consumption:
388
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + CPU: 0.000005 (kWh)
389
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000010 (kWh)
390
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
391
- [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000015 (kWh)
392
- [PROC-0][2024-10-02 02:51:00,701][energy][INFO] - + forward energy efficiency: 4773769.208322 (samples/kWh)
393
- [PROC-0][2024-10-02 02:51:00,701][energy][INFO] - + preprocess energy efficiency: 68058016.345637 (samples/kWh)
394
- [2024-10-02 02:51:01,301][device-isolation][INFO] - + Closing device(s) isolation process...
395
- [2024-10-02 02:51:01,355][datasets][INFO] - PyTorch version 2.4.0 available.
396
- [2024-10-02 02:51:05,807][launcher][INFO] - ََAllocating process launcher
397
- [2024-10-02 02:51:05,807][process][INFO] - + Setting multiprocessing start method to spawn.
398
- [2024-10-02 02:51:05,818][device-isolation][INFO] - + Launched device(s) isolation process 73
399
- [2024-10-02 02:51:05,818][device-isolation][INFO] - + Isolating device(s) [0]
400
- [2024-10-02 02:51:05,826][process][INFO] - + Launched benchmark in isolated process 74.
401
- [PROC-0][2024-10-02 02:51:08,488][datasets][INFO] - PyTorch version 2.4.0 available.
402
- [PROC-0][2024-10-02 02:51:09,445][backend][INFO] - َAllocating pytorch backend
403
- [PROC-0][2024-10-02 02:51:09,445][backend][INFO] - + Setting random seed to 42
404
- [PROC-0][2024-10-02 02:51:09,701][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
405
- [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating backend temporary directory
406
- [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Loading model with random weights
407
- [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model
408
- [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model directory
409
- [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model state dict
410
- [PROC-0][2024-10-02 02:51:09,704][pytorch][INFO] - + Saving no weights model safetensors
411
- [PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - + Saving no weights model pretrained config
412
- [PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - + Loading no weights AutoModel
413
- [PROC-0][2024-10-02 02:51:09,706][pytorch][INFO] - + Loading model directly on device: cuda
414
- [PROC-0][2024-10-02 02:51:09,954][pytorch][INFO] - + Turning on model's eval mode
415
- [PROC-0][2024-10-02 02:51:09,960][benchmark][INFO] - Allocating energy_star benchmark
416
- [PROC-0][2024-10-02 02:51:09,960][energy_star][INFO] - + Loading raw dataset
417
- [PROC-0][2024-10-02 02:51:10,534][energy_star][INFO] - + Initializing Inference report
418
- [PROC-0][2024-10-02 02:51:10,535][energy][INFO] - + Tracking GPU energy on devices [0]
419
- [PROC-0][2024-10-02 02:51:14,703][energy_star][INFO] - + Preprocessing dataset
420
- [PROC-0][2024-10-02 02:51:15,131][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
421
- [PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - + Preparing backend for Inference
422
- [PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - + Initialising dataloader
423
- [PROC-0][2024-10-02 02:51:15,135][energy_star][INFO] - + Warming up backend for Inference
 
1
+ [2024-10-02 14:16:05,469][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-02 14:16:05,470][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-02 14:16:05,478][device-isolation][INFO] - + Launched device(s) isolation process 73
4
+ [2024-10-02 14:16:05,479][device-isolation][INFO] - + Isolating device(s) [0]
5
+ [2024-10-02 14:16:05,484][process][INFO] - + Launched benchmark in isolated process 74.
6
+ [PROC-0][2024-10-02 14:16:08,072][datasets][INFO] - PyTorch version 2.4.0 available.
7
+ [PROC-0][2024-10-02 14:16:09,027][backend][INFO] - َAllocating pytorch backend
8
+ [PROC-0][2024-10-02 14:16:09,027][backend][INFO] - + Setting random seed to 42
9
+ [PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
+ [PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating backend temporary directory
11
+ [PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Loading model with random weights
12
+ [PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating no weights model
13
+ [PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating no weights model directory
14
+ [PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating no weights model state dict
15
+ [PROC-0][2024-10-02 14:16:09,470][pytorch][INFO] - + Saving no weights model safetensors
16
+ [PROC-0][2024-10-02 14:16:09,471][pytorch][INFO] - + Saving no weights model pretrained config
17
+ [PROC-0][2024-10-02 14:16:09,472][pytorch][INFO] - + Loading no weights AutoModel
18
+ [PROC-0][2024-10-02 14:16:09,472][pytorch][INFO] - + Loading model directly on device: cuda
19
+ [PROC-0][2024-10-02 14:16:09,732][pytorch][INFO] - + Turning on model's eval mode
20
+ [PROC-0][2024-10-02 14:16:09,737][benchmark][INFO] - Allocating energy_star benchmark
21
+ [PROC-0][2024-10-02 14:16:09,738][energy_star][INFO] - + Loading raw dataset
22
+ [PROC-0][2024-10-02 14:16:10,576][energy_star][INFO] - + Initializing Inference report
23
+ [PROC-0][2024-10-02 14:16:10,577][energy][INFO] - + Tracking GPU energy on devices [0]
24
+ [PROC-0][2024-10-02 14:16:14,765][energy_star][INFO] - + Preprocessing dataset
25
+ [PROC-0][2024-10-02 14:16:15,190][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
+ [PROC-0][2024-10-02 14:16:15,191][energy_star][INFO] - + Preparing backend for Inference
27
+ [PROC-0][2024-10-02 14:16:15,191][energy_star][INFO] - + Initialising dataloader
28
+ [PROC-0][2024-10-02 14:16:15,191][energy_star][INFO] - + Warming up backend for Inference
29
+ [PROC-0][2024-10-02 14:16:15,762][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
+ [PROC-0][2024-10-02 14:16:15,762][energy_star][INFO] - + Iteration 1/10
31
+ [PROC-0][2024-10-02 14:16:19,743][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
+ [PROC-0][2024-10-02 14:16:19,743][energy_star][INFO] - + Iteration 2/10
33
+ [PROC-0][2024-10-02 14:16:23,692][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
+ [PROC-0][2024-10-02 14:16:23,693][energy_star][INFO] - + Iteration 3/10
35
+ [PROC-0][2024-10-02 14:16:27,650][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
+ [PROC-0][2024-10-02 14:16:27,650][energy_star][INFO] - + Iteration 4/10
37
+ [PROC-0][2024-10-02 14:16:31,573][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
+ [PROC-0][2024-10-02 14:16:31,574][energy_star][INFO] - + Iteration 5/10
39
+ [PROC-0][2024-10-02 14:16:35,547][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
+ [PROC-0][2024-10-02 14:16:35,548][energy_star][INFO] - + Iteration 6/10
41
+ [PROC-0][2024-10-02 14:16:39,486][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
+ [PROC-0][2024-10-02 14:16:39,486][energy_star][INFO] - + Iteration 7/10
43
+ [PROC-0][2024-10-02 14:16:43,457][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
+ [PROC-0][2024-10-02 14:16:43,458][energy_star][INFO] - + Iteration 8/10
45
+ [PROC-0][2024-10-02 14:16:47,386][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
+ [PROC-0][2024-10-02 14:16:47,387][energy_star][INFO] - + Iteration 9/10
47
+ [PROC-0][2024-10-02 14:16:51,366][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
+ [PROC-0][2024-10-02 14:16:51,367][energy_star][INFO] - + Iteration 10/10
49
+ [PROC-0][2024-10-02 14:16:55,355][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
+ [PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + forward energy consumption:
51
+ [PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + CPU: 0.000042 (kWh)
52
+ [PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + GPU: 0.000170 (kWh)
53
+ [PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + RAM: 0.000000 (kWh)
54
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + total: 0.000213 (kWh)
55
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + forward_iteration_1 energy consumption:
56
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + CPU: 0.000047 (kWh)
57
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + GPU: 0.000180 (kWh)
58
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + RAM: 0.000000 (kWh)
59
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + total: 0.000227 (kWh)
60
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + forward_iteration_2 energy consumption:
61
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + CPU: 0.000047 (kWh)
62
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + GPU: 0.000187 (kWh)
63
+ [PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + RAM: 0.000000 (kWh)
64
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + total: 0.000234 (kWh)
65
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + forward_iteration_3 energy consumption:
66
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + CPU: 0.000047 (kWh)
67
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + GPU: 0.000185 (kWh)
68
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + RAM: 0.000000 (kWh)
69
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + total: 0.000232 (kWh)
70
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + forward_iteration_4 energy consumption:
71
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + CPU: 0.000046 (kWh)
72
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + GPU: 0.000192 (kWh)
73
+ [PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + RAM: 0.000000 (kWh)
74
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + total: 0.000238 (kWh)
75
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + forward_iteration_5 energy consumption:
76
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + CPU: 0.000047 (kWh)
77
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + GPU: 0.000186 (kWh)
78
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + RAM: 0.000000 (kWh)
79
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + total: 0.000234 (kWh)
80
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + forward_iteration_6 energy consumption:
81
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + CPU: 0.000046 (kWh)
82
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + GPU: 0.000194 (kWh)
83
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + RAM: 0.000000 (kWh)
84
+ [PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + total: 0.000240 (kWh)
85
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + forward_iteration_7 energy consumption:
86
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + CPU: 0.000000 (kWh)
87
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + GPU: 0.000000 (kWh)
88
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + RAM: 0.000000 (kWh)
89
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + total: 0.000000 (kWh)
90
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + forward_iteration_8 energy consumption:
91
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + CPU: 0.000046 (kWh)
92
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + GPU: 0.000189 (kWh)
93
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + RAM: 0.000000 (kWh)
94
+ [PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + total: 0.000236 (kWh)
95
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + forward_iteration_9 energy consumption:
96
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + CPU: 0.000047 (kWh)
97
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + GPU: 0.000194 (kWh)
98
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + RAM: 0.000000 (kWh)
99
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + total: 0.000241 (kWh)
100
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + forward_iteration_10 energy consumption:
101
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + CPU: 0.000047 (kWh)
102
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + GPU: 0.000195 (kWh)
103
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + RAM: 0.000000 (kWh)
104
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + total: 0.000242 (kWh)
105
+ [PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + preprocess energy consumption:
106
+ [PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + CPU: 0.000005 (kWh)
107
+ [PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + GPU: 0.000008 (kWh)
108
+ [PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + RAM: 0.000000 (kWh)
109
+ [PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + total: 0.000013 (kWh)
110
+ [PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + forward energy efficiency: 4704577.401811 (samples/kWh)
111
+ [PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + preprocess energy efficiency: 77861115.115437 (samples/kWh)
112
+ [2024-10-02 14:16:55,948][device-isolation][INFO] - + Closing device(s) isolation process...
113
+ [2024-10-02 14:16:55,994][datasets][INFO] - PyTorch version 2.4.0 available.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_classification/lvwerra/distilbert-imdb/forward_codecarbon.json CHANGED
@@ -1,17 +1,17 @@
1
  {
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- "timestamp": "2024-10-02T02:51:00",
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  "project_name": "codecarbon",
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- "run_id": "04cc4f2e-2a46-49be-ba28-96cfd13e615e",
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- "emissions": 8.739037927692629e-05,
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- "emissions_rate": 2.185558559830156e-05,
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  "cpu_power": 42.5,
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- "gpu_power": 170.44229695686977,
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- "ram_power": 0.34540271759033203,
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- "cpu_energy": 4.722849774876117e-05,
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- "gpu_energy": 0.00018913237352791157,
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- "ram_energy": 3.8321031302112333e-07,
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- "energy_consumed": 0.00023674408158969387,
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  "country_name": "United States",
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  "country_iso_code": "USA",
17
  "region": "virginia",
 
1
  {
2
+ "timestamp": "2024-10-02T14:16:55",
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  "project_name": "codecarbon",
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+ "run_id": "00f7abbf-644b-4fe1-b568-ae7d68262844",
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+ "duration": -1727837484.2760804,
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+ "emissions": 8.940036935484435e-05,
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+ "emissions_rate": 2.2428227337353603e-05,
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  "cpu_power": 42.5,
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+ "gpu_power": 175.8862803095146,
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+ "ram_power": 0.34586334228515625,
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+ "cpu_energy": 4.7079288748611556e-05,
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+ "gpu_energy": 0.00019472710022599982,
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+ "ram_energy": 3.8283725157836774e-07,
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+ "energy_consumed": 0.00024218922622618998,
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  "country_name": "United States",
16
  "country_iso_code": "USA",
17
  "region": "virginia",
text_classification/lvwerra/distilbert-imdb/preprocess_codecarbon.json CHANGED
@@ -1,17 +1,17 @@
1
  {
2
- "timestamp": "2024-10-02T02:51:15",
3
  "project_name": "codecarbon",
4
- "run_id": "f24f366a-2f2f-4a75-809e-749bf3903d51",
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- "emissions": 4.864169126118747e-06,
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- "emissions_rate": 1.1494325067363464e-05,
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  "cpu_power": 42.5,
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- "gpu_power": 69.17782359569274,
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- "cpu_energy": 5.018949643029677e-06,
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- "gpu_energy": 8.12611761169535e-06,
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- "ram_energy": 3.216417495907414e-08,
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- "energy_consumed": 1.3177231429684101e-05,
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  "country_name": "United States",
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  "country_iso_code": "USA",
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  "region": "virginia",
 
1
  {
2
+ "timestamp": "2024-10-02T14:16:15",
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  "project_name": "codecarbon",
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+ "run_id": "00f7abbf-644b-4fe1-b568-ae7d68262844",
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+ "emissions_rate": 1.1231350982989806e-05,
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  "cpu_power": 42.5,
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+ "gpu_power": 66.59697494811572,
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+ "cpu_energy": 5.007022324960216e-06,
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+ "gpu_energy": 7.804172909964269e-06,
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+ "ram_energy": 3.218619516936083e-08,
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+ "energy_consumed": 1.2843381430093845e-05,
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  "country_name": "United States",
16
  "country_iso_code": "USA",
17
  "region": "virginia",
text_generation/facebook/opt-125m/.hydra/config.yaml ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ backend:
2
+ name: pytorch
3
+ version: 2.4.0
4
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
5
+ task: text-generation
6
+ model: facebook/opt-125m
7
+ processor: facebook/opt-125m
8
+ library: null
9
+ device: cuda
10
+ device_ids: '0'
11
+ seed: 42
12
+ inter_op_num_threads: null
13
+ intra_op_num_threads: null
14
+ hub_kwargs: {}
15
+ no_weights: true
16
+ device_map: null
17
+ torch_dtype: null
18
+ amp_autocast: false
19
+ amp_dtype: null
20
+ eval_mode: true
21
+ to_bettertransformer: false
22
+ low_cpu_mem_usage: null
23
+ attn_implementation: null
24
+ cache_implementation: null
25
+ torch_compile: false
26
+ torch_compile_config: {}
27
+ quantization_scheme: null
28
+ quantization_config: {}
29
+ deepspeed_inference: false
30
+ deepspeed_inference_config: {}
31
+ peft_type: null
32
+ peft_config: {}
33
+ launcher:
34
+ name: process
35
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
36
+ device_isolation: false
37
+ device_isolation_action: warn
38
+ start_method: spawn
39
+ benchmark:
40
+ name: energy_star
41
+ _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
42
+ dataset_name: EnergyStarAI/text_generation
43
+ dataset_config: ''
44
+ dataset_split: train
45
+ num_samples: 1000
46
+ input_shapes:
47
+ batch_size: 1
48
+ text_column_name: text
49
+ truncation: true
50
+ max_length: -1
51
+ dataset_prefix1: ''
52
+ dataset_prefix2: ''
53
+ t5_task: ''
54
+ image_column_name: image
55
+ resize: false
56
+ question_column_name: question
57
+ context_column_name: context
58
+ sentence1_column_name: sentence1
59
+ sentence2_column_name: sentence2
60
+ audio_column_name: audio
61
+ iterations: 10
62
+ warmup_runs: 10
63
+ energy: true
64
+ forward_kwargs: {}
65
+ generate_kwargs:
66
+ max_new_tokens: 10
67
+ min_new_tokens: 10
68
+ call_kwargs: {}
69
+ experiment_name: text_generation
70
+ environment:
71
+ cpu: ' AMD EPYC 7R32'
72
+ cpu_count: 48
73
+ cpu_ram_mb: 200472.73984
74
+ system: Linux
75
+ machine: x86_64
76
+ platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
77
+ processor: x86_64
78
+ python_version: 3.9.20
79
+ gpu:
80
+ - NVIDIA A10G
81
+ gpu_count: 1
82
+ gpu_vram_mb: 24146608128
83
+ optimum_benchmark_version: 0.2.0
84
+ optimum_benchmark_commit: null
85
+ transformers_version: 4.44.0
86
+ transformers_commit: null
87
+ accelerate_version: 0.33.0
88
+ accelerate_commit: null
89
+ diffusers_version: 0.30.0
90
+ diffusers_commit: null
91
+ optimum_version: null
92
+ optimum_commit: null
93
+ timm_version: null
94
+ timm_commit: null
95
+ peft_version: null
96
+ peft_commit: null
text_generation/facebook/opt-125m/.hydra/hydra.yaml ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: ./runs/text_generation/facebook/opt-125m/
4
+ sweep:
5
+ dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
6
+ subdir: ${hydra.job.num}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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=./runs/text_generation/facebook/opt-125m/
122
+ - hydra.mode=RUN
123
+ task:
124
+ - backend.model=facebook/opt-125m
125
+ - backend.processor=facebook/opt-125m
126
+ job:
127
+ name: cli
128
+ chdir: true
129
+ override_dirname: backend.model=facebook/opt-125m,backend.processor=facebook/opt-125m
130
+ id: ???
131
+ num: ???
132
+ config_name: text_generation
133
+ env_set:
134
+ OVERRIDE_BENCHMARKS: '1'
135
+ env_copy: []
136
+ config:
137
+ override_dirname:
138
+ kv_sep: '='
139
+ item_sep: ','
140
+ exclude_keys: []
141
+ runtime:
142
+ version: 1.3.2
143
+ version_base: '1.3'
144
+ cwd: /
145
+ config_sources:
146
+ - path: hydra.conf
147
+ schema: pkg
148
+ provider: hydra
149
+ - path: optimum_benchmark
150
+ schema: pkg
151
+ provider: main
152
+ - path: hydra_plugins.hydra_colorlog.conf
153
+ schema: pkg
154
+ provider: hydra-colorlog
155
+ - path: /optimum-benchmark/examples/energy_star
156
+ schema: file
157
+ provider: command-line
158
+ - path: ''
159
+ schema: structured
160
+ provider: schema
161
+ output_dir: /runs/text_generation/facebook/opt-125m
162
+ choices:
163
+ benchmark: energy_star
164
+ launcher: process
165
+ backend: pytorch
166
+ hydra/env: default
167
+ hydra/callbacks: null
168
+ hydra/job_logging: colorlog
169
+ hydra/hydra_logging: colorlog
170
+ hydra/hydra_help: default
171
+ hydra/help: default
172
+ hydra/sweeper: basic
173
+ hydra/launcher: basic
174
+ hydra/output: default
175
+ verbose: false
text_generation/facebook/opt-125m/.hydra/overrides.yaml ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ - backend.model=facebook/opt-125m
2
+ - backend.processor=facebook/opt-125m
text_generation/facebook/opt-125m/benchmark_report.json ADDED
@@ -0,0 +1,203 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
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4
+ "latency": null,
5
+ "throughput": null,
6
+ "energy": {
7
+ "unit": "kWh",
8
+ "cpu": 0.00015960697928472096,
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+ "ram": 1.4808748839691138e-06,
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+ "gpu": 0.0008629128569964117,
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+ "total": 0.0010240007111651018
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+ },
13
+ "efficiency": {
14
+ "unit": "tokens/kWh",
15
+ "value": 293786905.34082574
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+ },
17
+ "measures": [
18
+ {
19
+ "unit": "kWh",
20
+ "cpu": 0.00017696239977218385,
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+ "gpu": 0.0009348163034080259,
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+ },
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+ {
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+ "unit": "kWh",
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+ "cpu": 0.0001766844237409714,
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+ "gpu": 0.0009429590876999794,
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+ },
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+ {
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+ "unit": "kWh",
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+ "cpu": 0.00017805189937296036,
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+ {
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+ },
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+ }
text_generation/facebook/opt-125m/cli.log ADDED
@@ -0,0 +1,188 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2024-10-02 14:16:59,753][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-02 14:16:59,753][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-02 14:16:59,765][process][INFO] - + Launched benchmark in isolated process 319.
4
+ [PROC-0][2024-10-02 14:17:02,285][datasets][INFO] - PyTorch version 2.4.0 available.
5
+ [PROC-0][2024-10-02 14:17:03,235][backend][INFO] - َAllocating pytorch backend
6
+ [PROC-0][2024-10-02 14:17:03,236][backend][INFO] - + Setting random seed to 42
7
+ [PROC-0][2024-10-02 14:17:03,789][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
8
+ [PROC-0][2024-10-02 14:17:03,789][pytorch][INFO] - + Creating backend temporary directory
9
+ [PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Loading model with random weights
10
+ [PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Creating no weights model
11
+ [PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Creating no weights model directory
12
+ [PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Creating no weights model state dict
13
+ [PROC-0][2024-10-02 14:17:03,811][pytorch][INFO] - + Saving no weights model safetensors
14
+ [PROC-0][2024-10-02 14:17:03,812][pytorch][INFO] - + Saving no weights model pretrained config
15
+ [PROC-0][2024-10-02 14:17:03,813][pytorch][INFO] - + Loading no weights AutoModel
16
+ [PROC-0][2024-10-02 14:17:03,813][pytorch][INFO] - + Loading model directly on device: cuda
17
+ [PROC-0][2024-10-02 14:17:03,968][pytorch][INFO] - + Turning on model's eval mode
18
+ [PROC-0][2024-10-02 14:17:03,974][benchmark][INFO] - Allocating energy_star benchmark
19
+ [PROC-0][2024-10-02 14:17:03,974][energy_star][INFO] - + Loading raw dataset
20
+ [PROC-0][2024-10-02 14:17:04,842][energy_star][INFO] - + Updating Text Generation kwargs with default values
21
+ [PROC-0][2024-10-02 14:17:04,842][energy_star][INFO] - + Initializing Text Generation report
22
+ [PROC-0][2024-10-02 14:17:04,843][energy][INFO] - + Tracking GPU energy on devices [0]
23
+ [PROC-0][2024-10-02 14:17:09,064][energy_star][INFO] - + Preprocessing dataset
24
+ [PROC-0][2024-10-02 14:17:09,997][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
25
+ [PROC-0][2024-10-02 14:17:09,997][energy_star][INFO] - + Preparing backend for Inference
26
+ [PROC-0][2024-10-02 14:17:09,998][energy_star][INFO] - + Initialising dataloader
27
+ [PROC-0][2024-10-02 14:17:09,998][energy_star][INFO] - + Warming up backend for Inference
28
+ [PROC-0][2024-10-02 14:17:10,669][energy_star][INFO] - + Additional warmup for Text Generation
29
+ [PROC-0][2024-10-02 14:17:10,742][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
30
+ [PROC-0][2024-10-02 14:17:10,742][energy_star][INFO] - + Prefill iteration 1/10
31
+ [PROC-0][2024-10-02 14:17:25,733][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
32
+ [PROC-0][2024-10-02 14:17:25,733][energy_star][INFO] - + Prefill iteration 2/10
33
+ [PROC-0][2024-10-02 14:17:40,700][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
34
+ [PROC-0][2024-10-02 14:17:40,700][energy_star][INFO] - + Prefill iteration 3/10
35
+ [PROC-0][2024-10-02 14:17:55,783][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
36
+ [PROC-0][2024-10-02 14:17:55,783][energy_star][INFO] - + Prefill iteration 4/10
37
+ [PROC-0][2024-10-02 14:18:10,831][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
38
+ [PROC-0][2024-10-02 14:18:10,831][energy_star][INFO] - + Prefill iteration 5/10
39
+ [PROC-0][2024-10-02 14:18:25,834][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
40
+ [PROC-0][2024-10-02 14:18:25,835][energy_star][INFO] - + Prefill iteration 6/10
41
+ [PROC-0][2024-10-02 14:18:40,836][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
42
+ [PROC-0][2024-10-02 14:18:40,836][energy_star][INFO] - + Prefill iteration 7/10
43
+ [PROC-0][2024-10-02 14:18:55,864][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
44
+ [PROC-0][2024-10-02 14:18:55,864][energy_star][INFO] - + Prefill iteration 8/10
45
+ [PROC-0][2024-10-02 14:19:10,905][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
46
+ [PROC-0][2024-10-02 14:19:10,905][energy_star][INFO] - + Prefill iteration 9/10
47
+ [PROC-0][2024-10-02 14:19:25,978][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
48
+ [PROC-0][2024-10-02 14:19:25,978][energy_star][INFO] - + Prefill iteration 10/10
49
+ [PROC-0][2024-10-02 14:19:40,976][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
50
+ [PROC-0][2024-10-02 14:19:40,976][energy_star][INFO] - + Decoding iteration 1/10
51
+ [PROC-0][2024-10-02 14:20:59,123][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
52
+ [PROC-0][2024-10-02 14:20:59,123][energy_star][INFO] - + Decoding iteration 2/10
53
+ [PROC-0][2024-10-02 14:22:16,930][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
54
+ [PROC-0][2024-10-02 14:22:16,931][energy_star][INFO] - + Decoding iteration 3/10
55
+ [PROC-0][2024-10-02 14:23:34,753][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
56
+ [PROC-0][2024-10-02 14:23:34,753][energy_star][INFO] - + Decoding iteration 4/10
57
+ [PROC-0][2024-10-02 14:24:52,609][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
58
+ [PROC-0][2024-10-02 14:24:52,609][energy_star][INFO] - + Decoding iteration 5/10
59
+ [PROC-0][2024-10-02 14:26:10,516][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
60
+ [PROC-0][2024-10-02 14:26:10,516][energy_star][INFO] - + Decoding iteration 6/10
61
+ [PROC-0][2024-10-02 14:27:28,212][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
62
+ [PROC-0][2024-10-02 14:27:28,213][energy_star][INFO] - + Decoding iteration 7/10
63
+ [PROC-0][2024-10-02 14:28:46,053][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
64
+ [PROC-0][2024-10-02 14:28:46,053][energy_star][INFO] - + Decoding iteration 8/10
65
+ [PROC-0][2024-10-02 14:30:03,413][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
66
+ [PROC-0][2024-10-02 14:30:03,413][energy_star][INFO] - + Decoding iteration 9/10
67
+ [PROC-0][2024-10-02 14:31:21,667][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
68
+ [PROC-0][2024-10-02 14:31:21,668][energy_star][INFO] - + Decoding iteration 10/10
69
+ [PROC-0][2024-10-02 14:32:39,524][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
70
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + prefill energy consumption:
71
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + CPU: 0.000160 (kWh)
72
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + GPU: 0.000863 (kWh)
73
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + RAM: 0.000001 (kWh)
74
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + total: 0.001024 (kWh)
75
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + prefill_iteration_1 energy consumption:
76
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + CPU: 0.000177 (kWh)
77
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + GPU: 0.000935 (kWh)
78
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + RAM: 0.000002 (kWh)
79
+ [PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + total: 0.001113 (kWh)
80
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + prefill_iteration_2 energy consumption:
81
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + CPU: 0.000177 (kWh)
82
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + GPU: 0.000943 (kWh)
83
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + RAM: 0.000002 (kWh)
84
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + total: 0.001121 (kWh)
85
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + prefill_iteration_3 energy consumption:
86
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + CPU: 0.000178 (kWh)
87
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + GPU: 0.000952 (kWh)
88
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + RAM: 0.000002 (kWh)
89
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + total: 0.001131 (kWh)
90
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + prefill_iteration_4 energy consumption:
91
+ [PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + CPU: 0.000178 (kWh)
92
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + GPU: 0.000962 (kWh)
93
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + RAM: 0.000002 (kWh)
94
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + total: 0.001141 (kWh)
95
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + prefill_iteration_5 energy consumption:
96
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + CPU: 0.000177 (kWh)
97
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + GPU: 0.000965 (kWh)
98
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + RAM: 0.000002 (kWh)
99
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + total: 0.001143 (kWh)
100
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + prefill_iteration_6 energy consumption:
101
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + CPU: 0.000177 (kWh)
102
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + GPU: 0.000964 (kWh)
103
+ [PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + RAM: 0.000002 (kWh)
104
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + total: 0.001143 (kWh)
105
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + prefill_iteration_7 energy consumption:
106
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + CPU: 0.000000 (kWh)
107
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + GPU: 0.000000 (kWh)
108
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + RAM: 0.000000 (kWh)
109
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + total: 0.000000 (kWh)
110
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + prefill_iteration_8 energy consumption:
111
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + CPU: 0.000178 (kWh)
112
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + GPU: 0.000964 (kWh)
113
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + RAM: 0.000002 (kWh)
114
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + total: 0.001143 (kWh)
115
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + prefill_iteration_9 energy consumption:
116
+ [PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + CPU: 0.000178 (kWh)
117
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + GPU: 0.000974 (kWh)
118
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + RAM: 0.000002 (kWh)
119
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + total: 0.001154 (kWh)
120
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + prefill_iteration_10 energy consumption:
121
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + CPU: 0.000177 (kWh)
122
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + GPU: 0.000971 (kWh)
123
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + RAM: 0.000002 (kWh)
124
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + total: 0.001150 (kWh)
125
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + decode energy consumption:
126
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + CPU: 0.000668 (kWh)
127
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + GPU: 0.001547 (kWh)
128
+ [PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + RAM: 0.000006 (kWh)
129
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + total: 0.002220 (kWh)
130
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + decode_iteration_1 energy consumption:
131
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + CPU: 0.000746 (kWh)
132
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + GPU: 0.001802 (kWh)
133
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + RAM: 0.000007 (kWh)
134
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + total: 0.002554 (kWh)
135
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + decode_iteration_2 energy consumption:
136
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + CPU: 0.000742 (kWh)
137
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + GPU: 0.001744 (kWh)
138
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + RAM: 0.000007 (kWh)
139
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + total: 0.002493 (kWh)
140
+ [PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + decode_iteration_3 energy consumption:
141
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + CPU: 0.000741 (kWh)
142
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + GPU: 0.001731 (kWh)
143
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + RAM: 0.000007 (kWh)
144
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + total: 0.002479 (kWh)
145
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + decode_iteration_4 energy consumption:
146
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + CPU: 0.000741 (kWh)
147
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + GPU: 0.001711 (kWh)
148
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + RAM: 0.000007 (kWh)
149
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + total: 0.002459 (kWh)
150
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + decode_iteration_5 energy consumption:
151
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + CPU: -0.000177 (kWh)
152
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + GPU: -0.000965 (kWh)
153
+ [PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + RAM: -0.000002 (kWh)
154
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155
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + decode_iteration_6 energy consumption:
156
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + CPU: 0.000740 (kWh)
157
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + GPU: 0.001697 (kWh)
158
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + RAM: 0.000007 (kWh)
159
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + total: 0.002444 (kWh)
160
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + decode_iteration_7 energy consumption:
161
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + CPU: 0.000919 (kWh)
162
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + GPU: 0.002668 (kWh)
163
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + RAM: 0.000009 (kWh)
164
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + total: 0.003595 (kWh)
165
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + decode_iteration_8 energy consumption:
166
+ [PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + CPU: 0.000736 (kWh)
167
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + GPU: 0.001689 (kWh)
168
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + RAM: 0.000007 (kWh)
169
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + total: 0.002431 (kWh)
170
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + decode_iteration_9 energy consumption:
171
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + CPU: 0.000746 (kWh)
172
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + GPU: 0.001698 (kWh)
173
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + RAM: 0.000007 (kWh)
174
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + total: 0.002450 (kWh)
175
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176
+ [PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + CPU: 0.000742 (kWh)
177
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178
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179
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180
+ [PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + preprocess energy consumption:
181
+ [PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + CPU: 0.000011 (kWh)
182
+ [PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + GPU: 0.000018 (kWh)
183
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184
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185
+ [PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + prefill energy efficiency: 293786905.340826 (tokens/kWh)
186
+ [PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + decode energy efficiency: 4053418.570424 (tokens/kWh)
187
+ [PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + preprocess energy efficiency: 33945796.869304 (samples/kWh)
188
+ [2024-10-02 14:32:40,176][datasets][INFO] - PyTorch version 2.4.0 available.
text_generation/facebook/opt-125m/experiment_config.json ADDED
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