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text_classification/lvwerra/distilbert-imdb/.hydra/hydra.yaml

@@ -1,6 +1,6 @@
 hydra:
   run:
-    dir: data/runs/text_classification/lvwerra/distilbert-imdb/
+    dir: ./runs/text_classification/lvwerra/distilbert-imdb/
   sweep:
     dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
     subdir: ${hydra.job.num}
@@ -118,13 +118,15 @@ hydra:
   output_subdir: .hydra
   overrides:
     hydra:
-    - hydra.run.dir=data/runs/text_classification/lvwerra/distilbert-imdb/
+    - hydra.run.dir=./runs/text_classification/lvwerra/distilbert-imdb/
     - hydra.mode=RUN
-    task: []
+    task:
+    - backend.model=lvwerra/distilbert-imdb
+    - backend.processor=lvwerra/distilbert-imdb
   job:
     name: cli
     chdir: true
-    override_dirname: ''
+    override_dirname: backend.model=lvwerra/distilbert-imdb,backend.processor=lvwerra/distilbert-imdb
     id: ???
     num: ???
     config_name: text_classification
@@ -156,7 +158,7 @@ hydra:
     - path: ''
       schema: structured
       provider: schema
-    output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb
+    output_dir: /runs/text_classification/lvwerra/distilbert-imdb
     choices:
       benchmark: energy_star
       launcher: process

text_classification/lvwerra/distilbert-imdb/.hydra/overrides.yaml

@@ -1 +1,2 @@
-[]
+- backend.model=lvwerra/distilbert-imdb
+- backend.processor=lvwerra/distilbert-imdb

text_classification/lvwerra/distilbert-imdb/benchmark_report.json

@@ -5,57 +5,57 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
-            "cpu": 4.2217974067077905e-05,
-            "ram": 3.4266514207536644e-07,
-            "gpu": 0.00016691743908938683,
-            "total": 0.0002094780782985401
+            "cpu": 4.302295295872076e-05,
+            "ram": 3.4696606225293537e-07,
+            "gpu": 0.0001694536077849751,
+            "total": 0.00021282352680594878
         },
         "efficiency": {
             "unit": "samples/kWh",
-            "value": 4773769.208321829
+            "value": 4698728.63685693
         },
         "measures": [
             {
                 "unit": "kWh",
-                "cpu": 4.712305867267585e-05,
-                "ram": 3.8216822757675777e-07,
-                "gpu": 0.0001815407007876857,
-                "total": 0.0002290459276879383
+                "cpu": 4.829258109811134e-05,
+                "ram": 3.8941883873596085e-07,
+                "gpu": 0.00018708848300352798,
+                "total": 0.0002357704829403753
             },
             {
                 "unit": "kWh",
-                "cpu": 4.649759695045457e-05,
-                "ram": 3.7759060137763195e-07,
-                "gpu": 0.00017852986504651724,
-                "total": 0.00022540505259834942
+                "cpu": 4.794998956583893e-05,
+                "ram": 3.867016931687321e-07,
+                "gpu": 0.00018864348424818544,
+                "total": 0.0002369801755071931
             },
             {
                 "unit": "kWh",
-                "cpu": 4.660298317394335e-05,
-                "ram": 3.7828696183161236e-07,
-                "gpu": 0.00018714348304760264,
-                "total": 0.00023412475318337764
+                "cpu": 4.838587405200896e-05,
+                "ram": 3.902196119433215e-07,
+                "gpu": 0.00018687598283362306,
+                "total": 0.00023565207649757546
             },
             {
                 "unit": "kWh",
-                "cpu": 4.666898457540407e-05,
-                "ram": 3.788229137558605e-07,
-                "gpu": 0.0001820537567538416,
-                "total": 0.0002291015642430016
+                "cpu": 4.7643815221433915e-05,
+                "ram": 3.8424200521738664e-07,
+                "gpu": 0.00018572542635864053,
+                "total": 0.00023375348358529188
             },
             {
                 "unit": "kWh",
-                "cpu": 4.666899602715502e-05,
-                "ram": 3.786127892940303e-07,
-                "gpu": 0.00018817042831420494,
-                "total": 0.00023521803713065406
+                "cpu": 4.818755350408739e-05,
+                "ram": 3.886288459673979e-07,
+                "gpu": 0.0001913168197198445,
+                "total": 0.0002398930020698993
             },
             {
                 "unit": "kWh",
-                "cpu": 4.71413553121238e-05,
-                "ram": 3.8257066211415975e-07,
-                "gpu": 0.00018559625958802783,
-                "total": 0.0002331201855622657
+                "cpu": 4.755068919785118e-05,
+                "ram": 3.8349012789382907e-07,
+                "gpu": 0.00018756737227576536,
+                "total": 0.0002355015516015105
             },
             {
                 "unit": "kWh",
@@ -66,24 +66,24 @@
             },
             {
                 "unit": "kWh",
-                "cpu": 4.720459533531942e-05,
-                "ram": 3.8334632359225455e-07,
-                "gpu": 0.00018755015003968367,
-                "total": 0.0002351380916985953
+                "cpu": 4.7309525320775314e-05,
+                "ram": 3.8154366974386643e-07,
+                "gpu": 0.00018913265130571233,
+                "total": 0.00023682372029623145
             },
             {
                 "unit": "kWh",
-                "cpu": 4.7043672874941777e-05,
-                "ram": 3.820426281902338e-07,
-                "gpu": 0.0001894573737883931,
-                "total": 0.00023688308929152514
+                "cpu": 4.767883464321332e-05,
+                "ram": 3.8451451587430033e-07,
+                "gpu": 0.00018941709597841694,
+                "total": 0.00023748044513750431
             },
             {
                 "unit": "kWh",
-                "cpu": 4.722849774876117e-05,
-                "ram": 3.8321031302112333e-07,
-                "gpu": 0.00018913237352791157,
-                "total": 0.00023674408158969387
+                "cpu": 4.723066698388722e-05,
+                "ram": 3.8090131398455894e-07,
+                "gpu": 0.00018876876212603477,
+                "total": 0.00023638033042390656
             }
         ]
     },
@@ -93,14 +93,14 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
-            "cpu": 4.999329341282849e-06,
-            "ram": 3.206474578014428e-08,
-            "gpu": 9.661952173889432e-06,
-            "total": 1.4693346260952426e-05
+            "cpu": 5.024156459734918e-06,
+            "ram": 3.199295043874728e-08,
+            "gpu": 7.950284137692165e-06,
+            "total": 1.300643354786583e-05
         },
         "efficiency": {
             "unit": "samples/kWh",
-            "value": 68058016.3456367
+            "value": 76885027.4227623
         },
         "measures": null
     }

text_classification/lvwerra/distilbert-imdb/cli.log

@@ -1,423 +1,113 @@
-[2024-10-02 02:01:33,816][launcher][INFO] - ََAllocating process launcher
-[2024-10-02 02:01:33,816][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-02 02:01:33,825][device-isolation][INFO] - 	+ Launched device(s) isolation process 73
-[2024-10-02 02:01:33,826][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-02 02:01:33,831][process][INFO] - 	+ Launched benchmark in isolated process 74.
-[PROC-0][2024-10-02 02:01:36,540][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-02 02:01:37,454][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-02 02:01:37,455][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-02 02:01:37,834][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-02 02:01:37,835][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-02 02:01:37,836][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-02 02:01:37,837][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-02 02:01:37,837][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-02 02:01:38,086][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-02 02:01:38,092][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-02 02:01:38,092][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-02 02:01:39,203][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-02 02:01:39,204][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-02 02:01:43,381][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-02 02:01:43,811][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-02 02:01:44,316][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
-[PROC-0][2024-10-02 02:01:44,317][energy_star][INFO] - 	+ Iteration 1/10
-[PROC-0][2024-10-02 02:01:48,348][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:01:48,351][energy_star][INFO] - 	+ Iteration 2/10
-[PROC-0][2024-10-02 02:01:52,353][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:01:52,356][energy_star][INFO] - 	+ Iteration 3/10
-[PROC-0][2024-10-02 02:01:56,385][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:01:56,388][energy_star][INFO] - 	+ Iteration 4/10
-[PROC-0][2024-10-02 02:02:00,404][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:02:00,407][energy_star][INFO] - 	+ Iteration 5/10
-[PROC-0][2024-10-02 02:02:04,407][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:02:04,409][energy_star][INFO] - 	+ Iteration 6/10
-[PROC-0][2024-10-02 02:02:08,402][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:02:08,404][energy_star][INFO] - 	+ Iteration 7/10
-[PROC-0][2024-10-02 02:02:12,401][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:02:12,403][energy_star][INFO] - 	+ Iteration 8/10
-[PROC-0][2024-10-02 02:02:16,392][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:02:16,395][energy_star][INFO] - 	+ Iteration 9/10
-[PROC-0][2024-10-02 02:02:20,458][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:02:20,461][energy_star][INFO] - 	+ Iteration 10/10
-[PROC-0][2024-10-02 02:02:24,445][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:02:24,447][energy][INFO] - 		+ forward energy consumption:
-[PROC-0][2024-10-02 02:02:24,447][energy][INFO] - 			+ CPU: 0.000043 (kWh)
-[PROC-0][2024-10-02 02:02:24,447][energy][INFO] - 			+ GPU: 0.000171 (kWh)
-[PROC-0][2024-10-02 02:02:24,447][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ total: 0.000214 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 		+ forward_iteration_1 energy consumption:
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ CPU: 0.000048 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ GPU: 0.000185 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ total: 0.000233 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 		+ forward_iteration_2 energy consumption:
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ GPU: 0.000190 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ total: 0.000237 (kWh)
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 		+ forward_iteration_3 energy consumption:
-[PROC-0][2024-10-02 02:02:24,448][energy][INFO] - 			+ CPU: 0.000048 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ GPU: 0.000189 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ total: 0.000237 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 		+ forward_iteration_4 energy consumption:
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ GPU: 0.000189 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ total: 0.000237 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 		+ forward_iteration_5 energy consumption:
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ GPU: 0.000191 (kWh)
-[PROC-0][2024-10-02 02:02:24,449][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ total: 0.000238 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 		+ forward_iteration_6 energy consumption:
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ GPU: 0.000191 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ total: 0.000239 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 		+ forward_iteration_7 energy consumption:
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ CPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ GPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ total: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 		+ forward_iteration_8 energy consumption:
-[PROC-0][2024-10-02 02:02:24,450][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ GPU: 0.000193 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ total: 0.000240 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 		+ forward_iteration_9 energy consumption:
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ CPU: 0.000048 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ GPU: 0.000194 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ total: 0.000243 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 		+ forward_iteration_10 energy consumption:
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ GPU: 0.000188 (kWh)
-[PROC-0][2024-10-02 02:02:24,451][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 			+ total: 0.000235 (kWh)
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 		+ preprocess energy consumption:
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 			+ CPU: 0.000005 (kWh)
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 			+ GPU: 0.000008 (kWh)
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 			+ total: 0.000013 (kWh)
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 		+ forward energy efficiency: 4672757.503834 (samples/kWh)
-[PROC-0][2024-10-02 02:02:24,452][energy][INFO] - 		+ preprocess energy efficiency: 77598695.955478 (samples/kWh)
-[2024-10-02 02:02:25,051][device-isolation][INFO] - 	+ Closing device(s) isolation process...
-[2024-10-02 02:02:25,100][datasets][INFO] - PyTorch version 2.4.0 available.
-[2024-10-02 02:02:30,464][launcher][INFO] - ََAllocating process launcher
-[2024-10-02 02:02:30,464][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-02 02:02:30,474][device-isolation][INFO] - 	+ Launched device(s) isolation process 73
-[2024-10-02 02:02:30,474][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-02 02:02:30,480][process][INFO] - 	+ Launched benchmark in isolated process 74.
-[PROC-0][2024-10-02 02:02:33,041][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-02 02:02:33,950][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-02 02:02:33,950][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-02 02:02:34,272][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-02 02:02:34,274][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-02 02:02:34,274][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-02 02:02:34,531][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-02 02:02:34,537][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-02 02:02:34,537][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-02 02:02:35,106][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-02 02:02:35,106][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-02 02:02:39,282][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-02 02:02:39,711][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-02 02:02:39,714][energy_star][INFO] - 	+ Warming up backend for Inference
-[2024-10-02 02:14:00,059][launcher][INFO] - ََAllocating process launcher
-[2024-10-02 02:14:00,059][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-02 02:14:00,068][device-isolation][INFO] - 	+ Launched device(s) isolation process 73
-[2024-10-02 02:14:00,068][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-02 02:14:00,074][process][INFO] - 	+ Launched benchmark in isolated process 74.
-[PROC-0][2024-10-02 02:14:02,696][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-02 02:14:03,668][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-02 02:14:03,668][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-02 02:14:04,291][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-02 02:14:04,297][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-02 02:14:04,298][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-02 02:14:04,945][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-02 02:14:04,946][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-02 02:14:09,145][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-02 02:14:09,571][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-02 02:14:09,574][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
-[PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - 	+ Iteration 1/10
-[PROC-0][2024-10-02 02:14:14,347][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:14,349][energy_star][INFO] - 	+ Iteration 2/10
-[PROC-0][2024-10-02 02:14:18,444][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:18,447][energy_star][INFO] - 	+ Iteration 3/10
-[PROC-0][2024-10-02 02:14:22,446][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:22,448][energy_star][INFO] - 	+ Iteration 4/10
-[PROC-0][2024-10-02 02:14:26,447][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:26,449][energy_star][INFO] - 	+ Iteration 5/10
-[PROC-0][2024-10-02 02:14:30,446][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:30,449][energy_star][INFO] - 	+ Iteration 6/10
-[PROC-0][2024-10-02 02:14:34,444][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:34,446][energy_star][INFO] - 	+ Iteration 7/10
-[PROC-0][2024-10-02 02:14:38,476][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:38,478][energy_star][INFO] - 	+ Iteration 8/10
-[PROC-0][2024-10-02 02:14:42,466][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:42,468][energy_star][INFO] - 	+ Iteration 9/10
-[PROC-0][2024-10-02 02:14:46,461][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:46,463][energy_star][INFO] - 	+ Iteration 10/10
-[PROC-0][2024-10-02 02:14:50,459][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - 		+ forward energy consumption:
-[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - 			+ CPU: 0.000043 (kWh)
-[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - 			+ GPU: 0.000167 (kWh)
-[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - 			+ total: 0.000210 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 		+ forward_iteration_1 energy consumption:
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ CPU: 0.000049 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ GPU: 0.000180 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ total: 0.000230 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 		+ forward_iteration_2 energy consumption:
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ CPU: 0.000048 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ GPU: 0.000184 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ total: 0.000233 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 		+ forward_iteration_3 energy consumption:
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - 			+ GPU: 0.000184 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ total: 0.000231 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 		+ forward_iteration_4 energy consumption:
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ GPU: 0.000185 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ total: 0.000233 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 		+ forward_iteration_5 energy consumption:
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ GPU: 0.000185 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - 			+ total: 0.000233 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 		+ forward_iteration_6 energy consumption:
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ GPU: 0.000186 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ total: 0.000234 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 		+ forward_iteration_7 energy consumption:
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ CPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ GPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ total: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 		+ forward_iteration_8 energy consumption:
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - 			+ GPU: 0.000188 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ total: 0.000236 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 		+ forward_iteration_9 energy consumption:
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ GPU: 0.000189 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ total: 0.000236 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 		+ forward_iteration_10 energy consumption:
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ GPU: 0.000189 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - 			+ total: 0.000236 (kWh)
-[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - 		+ preprocess energy consumption:
-[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - 			+ CPU: 0.000005 (kWh)
-[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - 			+ GPU: 0.000008 (kWh)
-[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - 			+ total: 0.000013 (kWh)
-[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - 		+ forward energy efficiency: 4758665.708690 (samples/kWh)
-[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - 		+ preprocess energy efficiency: 78850929.489581 (samples/kWh)
-[2024-10-02 02:14:51,058][device-isolation][INFO] - 	+ Closing device(s) isolation process...
-[2024-10-02 02:14:51,111][datasets][INFO] - PyTorch version 2.4.0 available.
-[2024-10-02 02:14:56,104][launcher][INFO] - ََAllocating process launcher
-[2024-10-02 02:14:56,104][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-02 02:14:56,114][device-isolation][INFO] - 	+ Launched device(s) isolation process 73
-[2024-10-02 02:14:56,115][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-02 02:14:56,123][process][INFO] - 	+ Launched benchmark in isolated process 74.
-[PROC-0][2024-10-02 02:14:58,781][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-02 02:14:59,691][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-02 02:14:59,691][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-02 02:14:59,991][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-02 02:15:00,258][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-02 02:15:00,264][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-02 02:15:00,264][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-02 02:15:00,835][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-02 02:15:00,836][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-02 02:15:05,022][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-02 02:15:05,450][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-02 02:15:05,453][energy_star][INFO] - 	+ Warming up backend for Inference
-[2024-10-02 02:50:10,740][launcher][INFO] - ََAllocating process launcher
-[2024-10-02 02:50:10,740][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-02 02:50:10,749][device-isolation][INFO] - 	+ Launched device(s) isolation process 73
-[2024-10-02 02:50:10,749][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-02 02:50:10,755][process][INFO] - 	+ Launched benchmark in isolated process 74.
-[PROC-0][2024-10-02 02:50:13,394][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-02 02:50:14,352][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-02 02:50:14,352][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-02 02:50:14,716][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-02 02:50:14,719][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-02 02:50:14,720][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-02 02:50:14,981][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-02 02:50:14,987][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-02 02:50:14,987][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-02 02:50:15,784][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-02 02:50:15,784][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-02 02:50:19,971][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-02 02:50:20,399][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
-[PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - 	+ Iteration 1/10
-[PROC-0][2024-10-02 02:50:24,885][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:24,887][energy_star][INFO] - 	+ Iteration 2/10
-[PROC-0][2024-10-02 02:50:28,829][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:28,832][energy_star][INFO] - 	+ Iteration 3/10
-[PROC-0][2024-10-02 02:50:32,782][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:32,785][energy_star][INFO] - 	+ Iteration 4/10
-[PROC-0][2024-10-02 02:50:36,741][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:36,743][energy_star][INFO] - 	+ Iteration 5/10
-[PROC-0][2024-10-02 02:50:40,700][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:40,702][energy_star][INFO] - 	+ Iteration 6/10
-[PROC-0][2024-10-02 02:50:44,699][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:44,701][energy_star][INFO] - 	+ Iteration 7/10
-[PROC-0][2024-10-02 02:50:48,692][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:48,694][energy_star][INFO] - 	+ Iteration 8/10
-[PROC-0][2024-10-02 02:50:52,696][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:52,698][energy_star][INFO] - 	+ Iteration 9/10
-[PROC-0][2024-10-02 02:50:56,686][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:50:56,689][energy_star][INFO] - 	+ Iteration 10/10
-[PROC-0][2024-10-02 02:51:00,693][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 		+ forward energy consumption:
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ CPU: 0.000042 (kWh)
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ GPU: 0.000167 (kWh)
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ total: 0.000209 (kWh)
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 		+ forward_iteration_1 energy consumption:
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ GPU: 0.000182 (kWh)
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - 			+ total: 0.000229 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 		+ forward_iteration_2 energy consumption:
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ CPU: 0.000046 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ GPU: 0.000179 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ total: 0.000225 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 		+ forward_iteration_3 energy consumption:
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ GPU: 0.000187 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ total: 0.000234 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 		+ forward_iteration_4 energy consumption:
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - 			+ GPU: 0.000182 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ total: 0.000229 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 		+ forward_iteration_5 energy consumption:
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ GPU: 0.000188 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ total: 0.000235 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 		+ forward_iteration_6 energy consumption:
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ GPU: 0.000186 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - 			+ total: 0.000233 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 		+ forward_iteration_7 energy consumption:
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ CPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ GPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ total: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 		+ forward_iteration_8 energy consumption:
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ GPU: 0.000188 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ total: 0.000235 (kWh)
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 		+ forward_iteration_9 energy consumption:
-[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ GPU: 0.000189 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ total: 0.000237 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 		+ forward_iteration_10 energy consumption:
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ CPU: 0.000047 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ GPU: 0.000189 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ total: 0.000237 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 		+ preprocess energy consumption:
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ CPU: 0.000005 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ GPU: 0.000010 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - 			+ total: 0.000015 (kWh)
-[PROC-0][2024-10-02 02:51:00,701][energy][INFO] - 		+ forward energy efficiency: 4773769.208322 (samples/kWh)
-[PROC-0][2024-10-02 02:51:00,701][energy][INFO] - 		+ preprocess energy efficiency: 68058016.345637 (samples/kWh)
-[2024-10-02 02:51:01,301][device-isolation][INFO] - 	+ Closing device(s) isolation process...
-[2024-10-02 02:51:01,355][datasets][INFO] - PyTorch version 2.4.0 available.
-[2024-10-02 02:51:05,807][launcher][INFO] - ََAllocating process launcher
-[2024-10-02 02:51:05,807][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-02 02:51:05,818][device-isolation][INFO] - 	+ Launched device(s) isolation process 73
-[2024-10-02 02:51:05,818][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-02 02:51:05,826][process][INFO] - 	+ Launched benchmark in isolated process 74.
-[PROC-0][2024-10-02 02:51:08,488][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-02 02:51:09,445][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-02 02:51:09,445][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-02 02:51:09,701][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-02 02:51:09,704][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-02 02:51:09,706][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-02 02:51:09,954][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-02 02:51:09,960][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-02 02:51:09,960][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-02 02:51:10,534][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-02 02:51:10,535][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-02 02:51:14,703][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-02 02:51:15,131][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-02 02:51:15,135][energy_star][INFO] - 	+ Warming up backend for Inference
+[2024-10-03 14:38:50,926][launcher][INFO] - ََAllocating process launcher
+[2024-10-03 14:38:50,926][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-03 14:38:50,940][device-isolation][INFO] - 	+ Launched device(s) isolation process 446
+[2024-10-03 14:38:50,940][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-03 14:38:50,947][process][INFO] - 	+ Launched benchmark in isolated process 447.
+[PROC-0][2024-10-03 14:38:53,493][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-03 14:38:54,445][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-03 14:38:54,445][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-03 14:38:54,858][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-03 14:38:54,859][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-03 14:38:54,860][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-03 14:38:54,860][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-03 14:38:55,124][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-03 14:38:55,130][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-03 14:38:55,130][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-03 14:38:55,950][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-03 14:38:55,950][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-03 14:39:00,132][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-03 14:39:00,558][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-03 14:39:00,559][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-03 14:39:00,559][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-03 14:39:00,559][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-03 14:39:01,057][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-03 14:39:01,058][energy_star][INFO] - 	+ Iteration 1/10
+[PROC-0][2024-10-03 14:39:05,149][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:05,149][energy_star][INFO] - 	+ Iteration 2/10
+[PROC-0][2024-10-03 14:39:09,212][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:09,212][energy_star][INFO] - 	+ Iteration 3/10
+[PROC-0][2024-10-03 14:39:13,311][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:13,312][energy_star][INFO] - 	+ Iteration 4/10
+[PROC-0][2024-10-03 14:39:17,349][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:17,349][energy_star][INFO] - 	+ Iteration 5/10
+[PROC-0][2024-10-03 14:39:21,432][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:21,432][energy_star][INFO] - 	+ Iteration 6/10
+[PROC-0][2024-10-03 14:39:25,460][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:25,461][energy_star][INFO] - 	+ Iteration 7/10
+[PROC-0][2024-10-03 14:39:29,531][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:29,532][energy_star][INFO] - 	+ Iteration 8/10
+[PROC-0][2024-10-03 14:39:33,540][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:33,540][energy_star][INFO] - 	+ Iteration 9/10
+[PROC-0][2024-10-03 14:39:37,580][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:37,580][energy_star][INFO] - 	+ Iteration 10/10
+[PROC-0][2024-10-03 14:39:41,581][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 14:39:41,582][energy][INFO] - 		+ forward energy consumption:
+[PROC-0][2024-10-03 14:39:41,582][energy][INFO] - 			+ CPU: 0.000043 (kWh)
+[PROC-0][2024-10-03 14:39:41,582][energy][INFO] - 			+ GPU: 0.000169 (kWh)
+[PROC-0][2024-10-03 14:39:41,582][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,582][energy][INFO] - 			+ total: 0.000213 (kWh)
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 		+ forward_iteration_1 energy consumption:
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 			+ GPU: 0.000187 (kWh)
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 		+ forward_iteration_2 energy consumption:
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 			+ GPU: 0.000189 (kWh)
+[PROC-0][2024-10-03 14:39:41,583][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ total: 0.000237 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 		+ forward_iteration_3 energy consumption:
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ GPU: 0.000187 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 		+ forward_iteration_4 energy consumption:
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,584][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 		+ forward_iteration_5 energy consumption:
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ GPU: 0.000191 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ total: 0.000240 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 		+ forward_iteration_6 energy consumption:
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ GPU: 0.000188 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,585][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 		+ forward_iteration_7 energy consumption:
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 		+ forward_iteration_8 energy consumption:
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ GPU: 0.000189 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,586][energy][INFO] - 			+ total: 0.000237 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 		+ forward_iteration_9 energy consumption:
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ GPU: 0.000189 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ total: 0.000237 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 		+ forward_iteration_10 energy consumption:
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ GPU: 0.000189 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,587][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-03 14:39:41,588][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-03 14:39:41,588][energy][INFO] - 			+ CPU: 0.000005 (kWh)
+[PROC-0][2024-10-03 14:39:41,588][energy][INFO] - 			+ GPU: 0.000008 (kWh)
+[PROC-0][2024-10-03 14:39:41,588][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:39:41,588][energy][INFO] - 			+ total: 0.000013 (kWh)
+[PROC-0][2024-10-03 14:39:41,588][energy][INFO] - 		+ forward energy efficiency: 4698728.636857 (samples/kWh)
+[PROC-0][2024-10-03 14:39:41,588][energy][INFO] - 		+ preprocess energy efficiency: 76885027.422762 (samples/kWh)
+[2024-10-03 14:39:42,200][device-isolation][INFO] - 	+ Closing device(s) isolation process...
+[2024-10-03 14:39:42,251][datasets][INFO] - PyTorch version 2.4.0 available.

text_classification/lvwerra/distilbert-imdb/forward_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-02T02:51:00",
+    "timestamp": "2024-10-03T14:39:41",
     "project_name": "codecarbon",
-    "run_id": "04cc4f2e-2a46-49be-ba28-96cfd13e615e",
-    "duration": -1727489511.2797432,
-    "emissions": 8.739037927692629e-05,
-    "emissions_rate": 2.185558559830156e-05,
+    "run_id": "74c9a28a-66d2-4f03-8122-d94ccc8d9aec",
+    "duration": -1727736281.2889435,
+    "emissions": 8.725610621663625e-05,
+    "emissions_rate": 2.182021488153507e-05,
     "cpu_power": 42.5,
-    "gpu_power": 170.44229695686977,
-    "ram_power": 0.34540271759033203,
-    "cpu_energy": 4.722849774876117e-05,
-    "gpu_energy": 0.00018913237352791157,
-    "ram_energy": 3.8321031302112333e-07,
-    "energy_consumed": 0.00023674408158969387,
+    "gpu_power": 169.9595597734731,
+    "ram_power": 0.3430137634277344,
+    "cpu_energy": 4.723066698388722e-05,
+    "gpu_energy": 0.00018876876212603477,
+    "ram_energy": 3.8090131398455894e-07,
+    "energy_consumed": 0.00023638033042390656,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_classification/lvwerra/distilbert-imdb/preprocess_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-02T02:51:15",
+    "timestamp": "2024-10-03T14:39:00",
     "project_name": "codecarbon",
-    "run_id": "f24f366a-2f2f-4a75-809e-749bf3903d51",
-    "duration": -1727489514.8551865,
-    "emissions": 4.864169126118747e-06,
-    "emissions_rate": 1.1494325067363464e-05,
+    "run_id": "74c9a28a-66d2-4f03-8122-d94ccc8d9aec",
+    "duration": -1727736284.8644152,
+    "emissions": 4.801121756268704e-06,
+    "emissions_rate": 1.133623967612493e-05,
     "cpu_power": 42.5,
-    "gpu_power": 69.17782359569274,
-    "ram_power": 0.27435922622680664,
-    "cpu_energy": 5.018949643029677e-06,
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-    "ram_energy": 3.216417495907414e-08,
-    "energy_consumed": 1.3177231429684101e-05,
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     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/distilbert/distilgpt2/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: distilbert/distilgpt2
+  processor: distilbert/distilgpt2
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

text_generation/distilbert/distilgpt2/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ./runs/text_generation/distilbert/distilgpt2/
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=./runs/text_generation/distilbert/distilgpt2/
+    - hydra.mode=RUN
+    task:
+    - backend.model=distilbert/distilgpt2
+    - backend.processor=distilbert/distilgpt2
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=distilbert/distilgpt2,backend.processor=distilbert/distilgpt2
+    id: ???
+    num: ???
+    config_name: text_generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /runs/text_generation/distilbert/distilgpt2
+    choices:
+      benchmark: energy_star
+      launcher: process
+      backend: pytorch
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_generation/distilbert/distilgpt2/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=distilbert/distilgpt2
+- backend.processor=distilbert/distilgpt2

text_generation/distilbert/distilgpt2/benchmark_report.json

@@ -0,0 +1,203 @@
+{
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+    }
+}

text_generation/distilbert/distilgpt2/cli.log

@@ -0,0 +1,188 @@
+[2024-10-03 14:14:49,573][launcher][INFO] - ََAllocating process launcher
+[2024-10-03 14:14:49,573][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-03 14:14:49,590][process][INFO] - 	+ Launched benchmark in isolated process 74.
+[PROC-0][2024-10-03 14:14:52,233][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-03 14:14:53,708][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-03 14:14:53,708][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-03 14:14:54,292][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-03 14:14:54,293][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-03 14:14:54,293][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-03 14:14:54,293][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-03 14:14:54,293][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-03 14:14:54,293][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-03 14:14:54,322][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-03 14:14:54,322][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-03 14:14:54,323][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-03 14:14:54,323][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-03 14:14:54,527][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-03 14:14:54,534][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-03 14:14:54,534][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-03 14:14:55,278][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-03 14:14:55,278][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-03 14:14:55,278][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-03 14:14:59,467][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-03 14:15:00,352][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-03 14:15:00,352][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-03 14:15:00,353][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-03 14:15:00,353][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-03 14:15:01,406][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-03 14:15:01,445][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-03 14:15:01,446][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-03 14:15:08,021][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:08,022][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-03 14:15:14,596][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:14,596][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-03 14:15:21,139][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:21,140][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-03 14:15:27,684][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:27,684][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-03 14:15:34,277][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:34,277][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-03 14:15:40,873][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:40,873][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-03 14:15:47,391][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:47,392][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-03 14:15:53,931][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:15:53,931][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-03 14:16:00,483][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:16:00,484][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-03 14:16:07,052][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:16:07,052][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-03 14:16:45,454][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:16:45,455][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-03 14:17:23,964][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:17:23,965][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-03 14:18:02,691][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:18:02,692][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-03 14:18:41,370][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:18:41,370][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-03 14:19:19,999][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:19:20,000][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-03 14:19:58,298][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:19:58,298][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-03 14:20:36,678][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:20:36,679][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-03 14:21:15,089][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:21:15,090][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-03 14:21:53,611][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:21:53,611][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-03 14:22:32,488][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 			+ GPU: 0.000353 (kWh)
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 			+ total: 0.000424 (kWh)
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 14:22:32,489][energy][INFO] - 			+ GPU: 0.000378 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ total: 0.000456 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ GPU: 0.000387 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ total: 0.000466 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ CPU: 0.000077 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ GPU: 0.000383 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,490][energy][INFO] - 			+ total: 0.000461 (kWh)
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 			+ CPU: 0.000077 (kWh)
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 			+ GPU: 0.000396 (kWh)
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 			+ total: 0.000474 (kWh)
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 14:22:32,491][energy][INFO] - 			+ GPU: 0.000393 (kWh)
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 			+ total: 0.000472 (kWh)
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 			+ GPU: 0.000394 (kWh)
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 			+ total: 0.000472 (kWh)
+[PROC-0][2024-10-03 14:22:32,492][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ CPU: 0.000077 (kWh)
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ GPU: 0.000399 (kWh)
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,493][energy][INFO] - 			+ total: 0.000477 (kWh)
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 			+ CPU: 0.000077 (kWh)
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 			+ GPU: 0.000399 (kWh)
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 			+ total: 0.000477 (kWh)
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 			+ GPU: 0.000405 (kWh)
+[PROC-0][2024-10-03 14:22:32,494][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 			+ total: 0.000483 (kWh)
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 			+ CPU: 0.000340 (kWh)
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 			+ GPU: 0.000800 (kWh)
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 			+ total: 0.001143 (kWh)
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-03 14:22:32,495][energy][INFO] - 			+ CPU: 0.000376 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ GPU: 0.000925 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ total: 0.001304 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ CPU: 0.000377 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ GPU: 0.000897 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ total: 0.001278 (kWh)
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-03 14:22:32,496][energy][INFO] - 			+ CPU: 0.000380 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 			+ GPU: 0.000903 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 			+ total: 0.001287 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 			+ CPU: 0.000379 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 			+ GPU: 0.000882 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 			+ total: 0.001265 (kWh)
+[PROC-0][2024-10-03 14:22:32,497][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ CPU: -0.000078 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ GPU: -0.000393 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ RAM: -0.000001 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ total: -0.000472 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ CPU: 0.000374 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ GPU: 0.000881 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 			+ total: 0.001259 (kWh)
+[PROC-0][2024-10-03 14:22:32,498][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 			+ CPU: 0.000453 (kWh)
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 			+ GPU: 0.001271 (kWh)
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 			+ total: 0.001729 (kWh)
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 			+ CPU: 0.000376 (kWh)
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 			+ GPU: 0.000874 (kWh)
+[PROC-0][2024-10-03 14:22:32,499][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 			+ total: 0.001254 (kWh)
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 			+ CPU: 0.000377 (kWh)
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 			+ GPU: 0.000875 (kWh)
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 			+ total: 0.001256 (kWh)
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 			+ CPU: 0.000381 (kWh)
+[PROC-0][2024-10-03 14:22:32,500][energy][INFO] - 			+ GPU: 0.000882 (kWh)
+[PROC-0][2024-10-03 14:22:32,501][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 14:22:32,501][energy][INFO] - 			+ total: 0.001267 (kWh)
+[PROC-0][2024-10-03 14:22:32,501][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-03 14:22:32,501][energy][INFO] - 			+ CPU: 0.000010 (kWh)
+[PROC-0][2024-10-03 14:22:32,501][energy][INFO] - 			+ GPU: 0.000017 (kWh)
+[PROC-0][2024-10-03 14:22:32,501][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:22:32,501][energy][INFO] - 			+ total: 0.000028 (kWh)
+[PROC-0][2024-10-03 14:22:32,502][energy][INFO] - 		+ prefill energy efficiency: 593008705.371798 (tokens/kWh)
+[PROC-0][2024-10-03 14:22:32,502][energy][INFO] - 		+ decode energy efficiency: 7876279.057501 (tokens/kWh)
+[PROC-0][2024-10-03 14:22:32,502][energy][INFO] - 		+ preprocess energy efficiency: 36302043.457999 (samples/kWh)
+[2024-10-03 14:22:33,302][datasets][INFO] - PyTorch version 2.4.0 available.

text_generation/distilbert/distilgpt2/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "distilbert/distilgpt2",
+        "processor": "distilbert/distilgpt2",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

text_generation/distilbert/distilgpt2/generate_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-03T14:22:32",
+    "project_name": "codecarbon",
+    "run_id": "671dd9bc-8525-4c6d-82a4-86636cd6be4f",
+    "duration": -1727736246.413479,
+    "emissions": 0.0006462671844333729,
+    "emissions_rate": 1.6624515822777055e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 119.22188198787775,
+    "ram_power": 0.4082365036010742,
+    "cpu_energy": 0.0004589570060437838,
+    "gpu_energy": 0.0012873988076962384,
+    "ram_energy": 4.408198341946466e-06,
+    "energy_consumed": 0.0017507640120819692,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_generation/distilbert/distilgpt2/prefill_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-03T14:16:07",
+    "project_name": "codecarbon",
+    "run_id": "671dd9bc-8525-4c6d-82a4-86636cd6be4f",
+    "duration": -1727736278.7220247,
+    "emissions": 0.00017839136777339222,
+    "emissions_rate": 2.7169657319579962e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 222.067231811615,
+    "ram_power": 0.4082064628601074,
+    "cpu_energy": 7.753557855222522e-05,
+    "gpu_energy": 0.00040498949065792544,
+    "ram_energy": 7.443807737094194e-07,
+    "energy_consumed": 0.0004832694499838598,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_generation/distilbert/distilgpt2/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-03T14:15:00",
+    "project_name": "codecarbon",
+    "run_id": "671dd9bc-8525-4c6d-82a4-86636cd6be4f",
+    "duration": -1727736284.4056349,
+    "emissions": 1.0168418709481737e-05,
+    "emissions_rate": 1.152152910509248e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 69.49147683695034,
+    "ram_power": 0.2842283248901367,
+    "cpu_energy": 1.0443706852634528e-05,
+    "gpu_energy": 1.7033346960015905e-05,
+    "ram_energy": 6.960485291413291e-08,
+    "energy_consumed": 2.7546658665564565e-05,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_generation/facebook/opt-125m/benchmark_report.json

@@ -5,57 +5,57 @@
         "throughput": null,
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             {
                 "unit": "kWh",
@@ -66,24 +66,24 @@
             },
             {
                 "unit": "kWh",
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                 "unit": "kWh",
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             {
                 "unit": "kWh",
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             }
         ]
     },
@@ -93,85 +93,85 @@
         "throughput": null,
         "energy": {
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-            "cpu": 0.0006675273934376981,
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+            "gpu": 0.0015446014301244483,
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         },
         "efficiency": {
             "unit": "tokens/kWh",
-            "value": 4053418.570424366
+            "value": 4008458.671378997
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         "measures": [
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                 "unit": "kWh",
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                 "unit": "kWh",
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                 "unit": "kWh",
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             {
                 "unit": "kWh",
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             {
                 "unit": "kWh",
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             {
                 "unit": "kWh",
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             {
                 "unit": "kWh",
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             },
             {
                 "unit": "kWh",
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             }
         ]
     },
@@ -189,14 +189,14 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
-            "cpu": 1.1007180234739483e-05,
-            "ram": 7.319982597073878e-08,
-            "gpu": 1.837834803603e-05,
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+            "ram": 7.158500334577163e-08,
+            "gpu": 1.786251428992358e-05,
+            "total": 2.87585944939111e-05
         },
         "efficiency": {
             "unit": "samples/kWh",
-            "value": 33945796.869303934
+            "value": 34772213.927621685
         },
         "measures": null
     }

text_generation/facebook/opt-125m/cli.log

@@ -1,188 +1,188 @@
-[2024-10-02 14:16:59,753][launcher][INFO] - ََAllocating process launcher
-[2024-10-02 14:16:59,753][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-02 14:16:59,765][process][INFO] - 	+ Launched benchmark in isolated process 319.
-[PROC-0][2024-10-02 14:17:02,285][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-02 14:17:03,235][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-02 14:17:03,236][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-02 14:17:03,789][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
-[PROC-0][2024-10-02 14:17:03,789][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-02 14:17:03,811][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-02 14:17:03,812][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-02 14:17:03,813][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-02 14:17:03,813][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-02 14:17:03,968][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-02 14:17:03,974][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-02 14:17:03,974][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-02 14:17:04,842][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
-[PROC-0][2024-10-02 14:17:04,842][energy_star][INFO] - 	+ Initializing Text Generation report
-[PROC-0][2024-10-02 14:17:04,843][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-02 14:17:09,064][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-02 14:17:09,997][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-02 14:17:09,997][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-02 14:17:09,998][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-02 14:17:09,998][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-02 14:17:10,669][energy_star][INFO] - 	+ Additional warmup for Text Generation
-[PROC-0][2024-10-02 14:17:10,742][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
-[PROC-0][2024-10-02 14:17:10,742][energy_star][INFO] - 	+ Prefill iteration 1/10
-[PROC-0][2024-10-02 14:17:25,733][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:17:25,733][energy_star][INFO] - 	+ Prefill iteration 2/10
-[PROC-0][2024-10-02 14:17:40,700][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:17:40,700][energy_star][INFO] - 	+ Prefill iteration 3/10
-[PROC-0][2024-10-02 14:17:55,783][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:17:55,783][energy_star][INFO] - 	+ Prefill iteration 4/10
-[PROC-0][2024-10-02 14:18:10,831][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:18:10,831][energy_star][INFO] - 	+ Prefill iteration 5/10
-[PROC-0][2024-10-02 14:18:25,834][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:18:25,835][energy_star][INFO] - 	+ Prefill iteration 6/10
-[PROC-0][2024-10-02 14:18:40,836][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:18:40,836][energy_star][INFO] - 	+ Prefill iteration 7/10
-[PROC-0][2024-10-02 14:18:55,864][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:18:55,864][energy_star][INFO] - 	+ Prefill iteration 8/10
-[PROC-0][2024-10-02 14:19:10,905][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:19:10,905][energy_star][INFO] - 	+ Prefill iteration 9/10
-[PROC-0][2024-10-02 14:19:25,978][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:19:25,978][energy_star][INFO] - 	+ Prefill iteration 10/10
-[PROC-0][2024-10-02 14:19:40,976][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-02 14:19:40,976][energy_star][INFO] - 	+ Decoding iteration 1/10
-[PROC-0][2024-10-02 14:20:59,123][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:20:59,123][energy_star][INFO] - 	+ Decoding iteration 2/10
-[PROC-0][2024-10-02 14:22:16,930][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:22:16,931][energy_star][INFO] - 	+ Decoding iteration 3/10
-[PROC-0][2024-10-02 14:23:34,753][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:23:34,753][energy_star][INFO] - 	+ Decoding iteration 4/10
-[PROC-0][2024-10-02 14:24:52,609][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:24:52,609][energy_star][INFO] - 	+ Decoding iteration 5/10
-[PROC-0][2024-10-02 14:26:10,516][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:26:10,516][energy_star][INFO] - 	+ Decoding iteration 6/10
-[PROC-0][2024-10-02 14:27:28,212][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:27:28,213][energy_star][INFO] - 	+ Decoding iteration 7/10
-[PROC-0][2024-10-02 14:28:46,053][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:28:46,053][energy_star][INFO] - 	+ Decoding iteration 8/10
-[PROC-0][2024-10-02 14:30:03,413][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:30:03,413][energy_star][INFO] - 	+ Decoding iteration 9/10
-[PROC-0][2024-10-02 14:31:21,667][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:31:21,668][energy_star][INFO] - 	+ Decoding iteration 10/10
-[PROC-0][2024-10-02 14:32:39,524][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 		+ prefill energy consumption:
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ CPU: 0.000160 (kWh)
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ GPU: 0.000863 (kWh)
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ total: 0.001024 (kWh)
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ CPU: 0.000177 (kWh)
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ GPU: 0.000935 (kWh)
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - 			+ total: 0.001113 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ CPU: 0.000177 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ GPU: 0.000943 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ total: 0.001121 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ CPU: 0.000178 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ GPU: 0.000952 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ total: 0.001131 (kWh)
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
-[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - 			+ CPU: 0.000178 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ GPU: 0.000962 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ total: 0.001141 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ CPU: 0.000177 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ GPU: 0.000965 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ total: 0.001143 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ CPU: 0.000177 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ GPU: 0.000964 (kWh)
-[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ total: 0.001143 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ CPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ GPU: 0.000000 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ total: 0.000000 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ CPU: 0.000178 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ GPU: 0.000964 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ total: 0.001143 (kWh)
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
-[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - 			+ CPU: 0.000178 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ GPU: 0.000974 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ total: 0.001154 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ CPU: 0.000177 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ GPU: 0.000971 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ RAM: 0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ total: 0.001150 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 		+ decode energy consumption:
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ CPU: 0.000668 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ GPU: 0.001547 (kWh)
-[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ total: 0.002220 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 		+ decode_iteration_1 energy consumption:
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ CPU: 0.000746 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ GPU: 0.001802 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ total: 0.002554 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 		+ decode_iteration_2 energy consumption:
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ CPU: 0.000742 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ GPU: 0.001744 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 			+ total: 0.002493 (kWh)
-[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - 		+ decode_iteration_3 energy consumption:
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ CPU: 0.000741 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ GPU: 0.001731 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ total: 0.002479 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 		+ decode_iteration_4 energy consumption:
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ CPU: 0.000741 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ GPU: 0.001711 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ total: 0.002459 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 		+ decode_iteration_5 energy consumption:
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ CPU: -0.000177 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ GPU: -0.000965 (kWh)
-[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - 			+ RAM: -0.000002 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ total: -0.001143 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 		+ decode_iteration_6 energy consumption:
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ CPU: 0.000740 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ GPU: 0.001697 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ total: 0.002444 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 		+ decode_iteration_7 energy consumption:
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ CPU: 0.000919 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ GPU: 0.002668 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ RAM: 0.000009 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ total: 0.003595 (kWh)
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 		+ decode_iteration_8 energy consumption:
-[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - 			+ CPU: 0.000736 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ GPU: 0.001689 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ total: 0.002431 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 		+ decode_iteration_9 energy consumption:
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ CPU: 0.000746 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ GPU: 0.001698 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ total: 0.002450 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 		+ decode_iteration_10 energy consumption:
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ CPU: 0.000742 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ GPU: 0.001692 (kWh)
-[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 			+ total: 0.002441 (kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 		+ preprocess energy consumption:
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 			+ CPU: 0.000011 (kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 			+ GPU: 0.000018 (kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 			+ total: 0.000029 (kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 		+ prefill energy efficiency: 293786905.340826 (tokens/kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 		+ decode energy efficiency: 4053418.570424 (tokens/kWh)
-[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - 		+ preprocess energy efficiency: 33945796.869304 (samples/kWh)
-[2024-10-02 14:32:40,176][datasets][INFO] - PyTorch version 2.4.0 available.
+[2024-10-03 14:22:37,127][launcher][INFO] - ََAllocating process launcher
+[2024-10-03 14:22:37,127][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-03 14:22:37,142][process][INFO] - 	+ Launched benchmark in isolated process 261.
+[PROC-0][2024-10-03 14:22:39,654][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-03 14:22:40,556][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-03 14:22:40,556][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-03 14:22:41,475][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-03 14:22:41,476][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-03 14:22:41,476][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-03 14:22:41,476][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-03 14:22:41,476][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-03 14:22:41,476][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-03 14:22:41,497][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-03 14:22:41,498][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-03 14:22:41,498][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-03 14:22:41,498][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-03 14:22:41,658][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-03 14:22:41,664][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-03 14:22:41,664][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-03 14:22:42,231][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-03 14:22:42,231][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-03 14:22:42,231][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-03 14:22:46,413][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-03 14:22:47,331][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-03 14:22:47,331][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-03 14:22:47,331][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-03 14:22:47,332][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-03 14:22:48,220][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-03 14:22:48,296][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-03 14:22:48,296][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-03 14:23:03,607][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:23:03,607][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-03 14:23:18,863][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:23:18,863][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-03 14:23:34,098][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:23:34,098][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-03 14:23:49,360][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:23:49,361][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-03 14:24:04,570][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:24:04,570][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-03 14:24:19,798][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:24:19,798][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-03 14:24:35,038][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:24:35,039][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-03 14:24:50,263][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:24:50,263][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-03 14:25:05,522][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:25:05,522][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-03 14:25:20,825][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 14:25:20,825][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-03 14:26:41,087][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:26:41,087][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-03 14:28:01,179][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:28:01,180][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-03 14:29:21,968][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:29:21,969][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-03 14:30:42,643][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:30:42,643][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-03 14:32:02,939][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:32:02,939][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-03 14:33:23,455][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:33:23,455][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-03 14:34:44,637][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:34:44,638][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-03 14:36:05,441][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:36:05,442][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-03 14:37:25,808][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:37:25,808][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-03 14:38:46,379][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 14:38:46,380][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-03 14:38:46,380][energy][INFO] - 			+ CPU: 0.000162 (kWh)
+[PROC-0][2024-10-03 14:38:46,380][energy][INFO] - 			+ GPU: 0.000848 (kWh)
+[PROC-0][2024-10-03 14:38:46,380][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ total: 0.001011 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ CPU: 0.000181 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ GPU: 0.000933 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ total: 0.001116 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ CPU: 0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ GPU: 0.000939 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 			+ total: 0.001121 (kWh)
+[PROC-0][2024-10-03 14:38:46,381][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ CPU: 0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ GPU: 0.000953 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ total: 0.001135 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ CPU: 0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ GPU: 0.000940 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ total: 0.001122 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ CPU: 0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,382][energy][INFO] - 			+ GPU: 0.000935 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ total: 0.001116 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ CPU: 0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ GPU: 0.000946 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ total: 0.001127 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:38:46,383][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ CPU: 0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ GPU: 0.000941 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ total: 0.001123 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ CPU: 0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ GPU: 0.000943 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 			+ total: 0.001125 (kWh)
+[PROC-0][2024-10-03 14:38:46,384][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ CPU: 0.000181 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ GPU: 0.000946 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ RAM: 0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ total: 0.001128 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ CPU: 0.000694 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ GPU: 0.001545 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ total: 0.002245 (kWh)
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-03 14:38:46,385][energy][INFO] - 			+ CPU: 0.000767 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ GPU: 0.001780 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ total: 0.002554 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ CPU: 0.000765 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ GPU: 0.001712 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ total: 0.002484 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ CPU: 0.000774 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ GPU: 0.001702 (kWh)
+[PROC-0][2024-10-03 14:38:46,386][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ total: 0.002483 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ CPU: 0.000772 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ GPU: 0.001713 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ total: 0.002493 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ CPU: -0.000180 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ GPU: -0.000935 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ RAM: -0.000002 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 			+ total: -0.001116 (kWh)
+[PROC-0][2024-10-03 14:38:46,387][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ CPU: 0.000771 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ GPU: 0.001703 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ total: 0.002481 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ CPU: 0.000958 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ GPU: 0.002658 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ RAM: 0.000009 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ total: 0.003626 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ CPU: 0.000774 (kWh)
+[PROC-0][2024-10-03 14:38:46,388][energy][INFO] - 			+ GPU: 0.001711 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ total: 0.002492 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ CPU: 0.000769 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ GPU: 0.001701 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ total: 0.002477 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ CPU: 0.000771 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ GPU: 0.001702 (kWh)
+[PROC-0][2024-10-03 14:38:46,389][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 			+ total: 0.002480 (kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 			+ CPU: 0.000011 (kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 			+ GPU: 0.000018 (kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 			+ total: 0.000029 (kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 		+ prefill energy efficiency: 297486320.887426 (tokens/kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 		+ decode energy efficiency: 4008458.671379 (tokens/kWh)
+[PROC-0][2024-10-03 14:38:46,390][energy][INFO] - 		+ preprocess energy efficiency: 34772213.927622 (samples/kWh)
+[2024-10-03 14:38:47,052][datasets][INFO] - PyTorch version 2.4.0 available.

text_generation/facebook/opt-125m/generate_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-02T14:32:39",
+    "timestamp": "2024-10-03T14:38:46",
     "project_name": "codecarbon",
-    "run_id": "1e133f97-a048-4825-9e0d-bc8c090a6897",
-    "duration": -1727837410.4084318,
-    "emissions": 0.0013252689506266652,
-    "emissions_rate": 1.702253243044149e-05,
+    "run_id": "5d2b938b-783b-44ef-b25d-7862cb82f3c5",
+    "duration": -1727736204.7193937,
+    "emissions": 0.0013320540061269384,
+    "emissions_rate": 1.6533192933920436e-05,
     "cpu_power": 42.5,
-    "gpu_power": 123.11784199137534,
-    "ram_power": 0.3947925567626953,
-    "cpu_energy": 0.0009191297357791679,
-    "gpu_energy": 0.0026625399078079592,
-    "ram_energy": 8.537690119764018e-06,
-    "energy_consumed": 0.0035902073337068935,
+    "gpu_power": 118.34114804298555,
+    "ram_power": 0.3990941047668457,
+    "cpu_energy": 0.0009511781512916862,
+    "gpu_energy": 0.0026484785076696937,
+    "ram_energy": 8.931665264579644e-06,
+    "energy_consumed": 0.0036085883242259545,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/facebook/opt-125m/prefill_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-02T14:19:40",
+    "timestamp": "2024-10-03T14:25:20",
     "project_name": "codecarbon",
-    "run_id": "1e133f97-a048-4825-9e0d-bc8c090a6897",
-    "duration": -1727837473.2670386,
-    "emissions": 0.00042435537760157193,
-    "emissions_rate": 2.8299430600502376e-05,
+    "run_id": "5d2b938b-783b-44ef-b25d-7862cb82f3c5",
+    "duration": -1727736269.9932132,
+    "emissions": 0.00041656221049748195,
+    "emissions_rate": 2.723584244644513e-05,
     "cpu_power": 42.5,
-    "gpu_power": 233.0987514386498,
-    "ram_power": 0.39441347122192383,
-    "cpu_energy": 0.0001770507450180401,
-    "gpu_energy": 0.0009709024433880442,
-    "ram_energy": 1.642739305575625e-06,
-    "energy_consumed": 0.0011495959277116607,
+    "gpu_power": 222.63098172259242,
+    "ram_power": 0.3987007141113281,
+    "cpu_energy": 0.00018064521484161054,
+    "gpu_energy": 0.0009461443680263137,
+    "ram_energy": 1.6943391058256554e-06,
+    "energy_consumed": 0.0011284839219737487,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/facebook/opt-125m/preprocess_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-02T14:17:09",
+    "timestamp": "2024-10-03T14:22:47",
     "project_name": "codecarbon",
-    "run_id": "1e133f97-a048-4825-9e0d-bc8c090a6897",
-    "duration": -1727837487.331996,
-    "emissions": 1.0874229269442666e-05,
-    "emissions_rate": 1.1688538176891148e-05,
+    "run_id": "5d2b938b-783b-44ef-b25d-7862cb82f3c5",
+    "duration": -1727736284.3730328,
+    "emissions": 1.0615785887521935e-05,
+    "emissions_rate": 1.1603242551871566e-05,
     "cpu_power": 42.5,
-    "gpu_power": 71.13126335527004,
-    "ram_power": 0.2835631370544434,
-    "cpu_energy": 1.1007180234739483e-05,
-    "gpu_energy": 1.837834803603e-05,
-    "ram_energy": 7.319982597073878e-08,
-    "energy_consumed": 2.9458728096740222e-05,
+    "gpu_power": 70.30865005241755,
+    "ram_power": 0.2820181846618653,
+    "cpu_energy": 1.0824495200641752e-05,
+    "gpu_energy": 1.786251428992358e-05,
+    "ram_energy": 7.158500334577163e-08,
+    "energy_consumed": 2.87585944939111e-05,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",