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text_classification/textattack/bert-base-uncased-snli/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: textattack/bert-base-uncased-snli
+  processor: textattack/bert-base-uncased-snli
+  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: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  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: {}
+  call_kwargs: {}
+experiment_name: text_classification
+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_classification/textattack/bert-base-uncased-snli/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ./runs/text_classification/textattack/bert-base-uncased-snli/
+  sweep:
+    dir: sweeps/${experiment_name}/${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_classification/textattack/bert-base-uncased-snli/
+    - hydra.mode=RUN
+    task:
+    - backend.model=textattack/bert-base-uncased-snli
+    - backend.processor=textattack/bert-base-uncased-snli
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=textattack/bert-base-uncased-snli,backend.processor=textattack/bert-base-uncased-snli
+    id: ???
+    num: ???
+    config_name: text_classification
+    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_classification/textattack/bert-base-uncased-snli
+    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_classification/textattack/bert-base-uncased-snli/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=textattack/bert-base-uncased-snli
+- backend.processor=textattack/bert-base-uncased-snli

text_classification/textattack/bert-base-uncased-snli/benchmark_report.json

@@ -0,0 +1,107 @@
+{
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+            "total": 1.5221426378584107e-05
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+            "value": 65696865.400666855
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+        "measures": null
+    }
+}

text_classification/textattack/bert-base-uncased-snli/cli.log

@@ -0,0 +1,113 @@
+[2024-10-03 19:04:22,493][launcher][INFO] - ََAllocating process launcher
+[2024-10-03 19:04:22,493][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-03 19:04:22,506][device-isolation][INFO] - 	+ Launched device(s) isolation process 550
+[2024-10-03 19:04:22,507][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-03 19:04:22,513][process][INFO] - 	+ Launched benchmark in isolated process 551.
+[PROC-0][2024-10-03 19:04:25,178][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-03 19:04:26,133][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-03 19:04:26,133][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-03 19:04:26,584][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-03 19:04:26,584][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-03 19:04:26,584][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-03 19:04:26,584][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-03 19:04:26,584][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-03 19:04:26,585][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-03 19:04:26,587][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-03 19:04:26,587][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-03 19:04:26,588][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-03 19:04:26,588][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-03 19:04:26,754][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-03 19:04:26,761][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-03 19:04:26,761][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-03 19:04:27,629][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-03 19:04:27,629][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-03 19:04:31,834][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-03 19:04:32,281][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-03 19:04:32,281][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-03 19:04:32,281][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-03 19:04:32,282][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-03 19:04:33,024][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-03 19:04:33,025][energy_star][INFO] - 	+ Iteration 1/10
+[PROC-0][2024-10-03 19:04:38,955][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:04:38,955][energy_star][INFO] - 	+ Iteration 2/10
+[PROC-0][2024-10-03 19:04:44,921][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:04:44,921][energy_star][INFO] - 	+ Iteration 3/10
+[PROC-0][2024-10-03 19:04:50,844][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:04:50,844][energy_star][INFO] - 	+ Iteration 4/10
+[PROC-0][2024-10-03 19:04:56,749][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:04:56,750][energy_star][INFO] - 	+ Iteration 5/10
+[PROC-0][2024-10-03 19:05:02,656][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:05:02,656][energy_star][INFO] - 	+ Iteration 6/10
+[PROC-0][2024-10-03 19:05:08,545][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:05:08,545][energy_star][INFO] - 	+ Iteration 7/10
+[PROC-0][2024-10-03 19:05:14,447][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:05:14,447][energy_star][INFO] - 	+ Iteration 8/10
+[PROC-0][2024-10-03 19:05:20,351][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:05:20,351][energy_star][INFO] - 	+ Iteration 9/10
+[PROC-0][2024-10-03 19:05:26,263][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:05:26,264][energy_star][INFO] - 	+ Iteration 10/10
+[PROC-0][2024-10-03 19:05:32,217][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-03 19:05:32,217][energy][INFO] - 		+ forward energy consumption:
+[PROC-0][2024-10-03 19:05:32,217][energy][INFO] - 			+ CPU: 0.000063 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ GPU: 0.000290 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ total: 0.000354 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 		+ forward_iteration_1 energy consumption:
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ GPU: 0.000331 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ total: 0.000401 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 		+ forward_iteration_2 energy consumption:
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ GPU: 0.000326 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,218][energy][INFO] - 			+ total: 0.000397 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 		+ forward_iteration_3 energy consumption:
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ GPU: 0.000322 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ total: 0.000393 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 		+ forward_iteration_4 energy consumption:
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ GPU: 0.000319 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ total: 0.000389 (kWh)
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 		+ forward_iteration_5 energy consumption:
+[PROC-0][2024-10-03 19:05:32,219][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ GPU: 0.000318 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ total: 0.000389 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 		+ forward_iteration_6 energy consumption:
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ GPU: 0.000322 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ total: 0.000392 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 		+ forward_iteration_7 energy consumption:
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 19:05:32,220][energy][INFO] - 			+ GPU: 0.000000 (kWh)
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+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 		+ forward_iteration_8 energy consumption:
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ GPU: 0.000322 (kWh)
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+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ total: 0.000392 (kWh)
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 		+ forward_iteration_9 energy consumption:
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ GPU: 0.000322 (kWh)
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ total: 0.000393 (kWh)
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 		+ forward_iteration_10 energy consumption:
+[PROC-0][2024-10-03 19:05:32,221][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 			+ GPU: 0.000322 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 			+ total: 0.000393 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 			+ CPU: 0.000005 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 			+ GPU: 0.000010 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 			+ total: 0.000015 (kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 		+ forward energy efficiency: 2826859.173002 (samples/kWh)
+[PROC-0][2024-10-03 19:05:32,222][energy][INFO] - 		+ preprocess energy efficiency: 65696865.400667 (samples/kWh)
+[2024-10-03 19:05:32,879][device-isolation][INFO] - 	+ Closing device(s) isolation process...
+[2024-10-03 19:05:32,932][datasets][INFO] - PyTorch version 2.4.0 available.

text_classification/textattack/bert-base-uncased-snli/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "textattack/bert-base-uncased-snli",
+        "processor": "textattack/bert-base-uncased-snli",
+        "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": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "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": {},
+        "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_classification/textattack/bert-base-uncased-snli/forward_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-03T19:05:32",
+    "project_name": "codecarbon",
+    "run_id": "0d17d79f-963e-4795-8911-3d52b492ad07",
+    "duration": -1727580652.3222568,
+    "emissions": 0.0001449722754567988,
+    "emissions_rate": 2.4363775706557924e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 194.84772519263151,
+    "ram_power": 0.34750843048095703,
+    "cpu_energy": 7.026899322255407e-05,
+    "gpu_energy": 0.0003218927575145969,
+    "ram_energy": 5.740228453060911e-07,
+    "energy_consumed": 0.00039273577358245673,
+    "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_classification/textattack/bert-base-uncased-snli/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-03T19:04:32",
+    "project_name": "codecarbon",
+    "run_id": "0d17d79f-963e-4795-8911-3d52b492ad07",
+    "duration": -1727580657.829064,
+    "emissions": 5.618751756868344e-06,
+    "emissions_rate": 1.2666078628837172e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 80.60085354339054,
+    "ram_power": 0.27201032638549805,
+    "cpu_energy": 5.260754786205427e-06,
+    "gpu_energy": 9.927230165018841e-06,
+    "ram_energy": 3.3441427359839e-08,
+    "energy_consumed": 1.5221426378584107e-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/distilbert/distilgpt2/benchmark_report.json

@@ -5,57 +5,57 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
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-            "ram": 6.753322676763225e-07,
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         },
         "efficiency": {
             "unit": "tokens/kWh",
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         "measures": [
             {
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                 "unit": "kWh",
@@ -66,24 +66,24 @@
             },
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             {
                 "unit": "kWh",
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             {
                 "unit": "kWh",
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         ]
     },
@@ -93,85 +93,85 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
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     },
@@ -189,14 +189,14 @@
         "throughput": null,
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         "efficiency": {
             "unit": "samples/kWh",
-            "value": 36376638.67186164
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         "measures": null
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text_generation/distilbert/distilgpt2/cli.log

@@ -1,188 +1,188 @@
-[2024-10-03 18:10:07,559][launcher][INFO] - ََAllocating process launcher
-[2024-10-03 18:10:07,560][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-03 18:10:07,574][process][INFO] - 	+ Launched benchmark in isolated process 178.
-[PROC-0][2024-10-03 18:10:10,207][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-03 18:10:11,159][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-03 18:10:11,159][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-03 18:10:12,034][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
-[PROC-0][2024-10-03 18:10:12,035][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-03 18:10:12,035][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-03 18:10:12,035][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-03 18:10:12,035][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-03 18:10:12,035][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-03 18:10:12,058][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-03 18:10:12,058][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-03 18:10:12,059][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-03 18:10:12,059][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-03 18:10:12,247][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-03 18:10:12,253][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-03 18:10:12,253][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-03 18:10:12,982][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
-[PROC-0][2024-10-03 18:10:12,982][energy_star][INFO] - 	+ Initializing Text Generation report
-[PROC-0][2024-10-03 18:10:12,982][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-03 18:10:17,190][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-03 18:10:18,067][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-03 18:10:18,068][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-03 18:10:18,068][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-03 18:10:18,068][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-03 18:10:18,910][energy_star][INFO] - 	+ Additional warmup for Text Generation
-[PROC-0][2024-10-03 18:10:18,948][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
-[PROC-0][2024-10-03 18:10:18,948][energy_star][INFO] - 	+ Prefill iteration 1/10
-[PROC-0][2024-10-03 18:10:25,473][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:10:25,473][energy_star][INFO] - 	+ Prefill iteration 2/10
-[PROC-0][2024-10-03 18:10:31,949][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:10:31,950][energy_star][INFO] - 	+ Prefill iteration 3/10
-[PROC-0][2024-10-03 18:10:38,439][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:10:38,439][energy_star][INFO] - 	+ Prefill iteration 4/10
-[PROC-0][2024-10-03 18:10:44,937][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:10:44,938][energy_star][INFO] - 	+ Prefill iteration 5/10
-[PROC-0][2024-10-03 18:10:51,443][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:10:51,443][energy_star][INFO] - 	+ Prefill iteration 6/10
-[PROC-0][2024-10-03 18:10:57,961][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:10:57,961][energy_star][INFO] - 	+ Prefill iteration 7/10
-[PROC-0][2024-10-03 18:11:04,464][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:11:04,465][energy_star][INFO] - 	+ Prefill iteration 8/10
-[PROC-0][2024-10-03 18:11:10,969][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:11:10,969][energy_star][INFO] - 	+ Prefill iteration 9/10
-[PROC-0][2024-10-03 18:11:17,447][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:11:17,448][energy_star][INFO] - 	+ Prefill iteration 10/10
-[PROC-0][2024-10-03 18:11:23,925][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:11:23,925][energy_star][INFO] - 	+ Decoding iteration 1/10
-[PROC-0][2024-10-03 18:12:01,067][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:12:01,067][energy_star][INFO] - 	+ Decoding iteration 2/10
-[PROC-0][2024-10-03 18:12:38,041][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:12:38,042][energy_star][INFO] - 	+ Decoding iteration 3/10
-[PROC-0][2024-10-03 18:13:15,299][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:13:15,299][energy_star][INFO] - 	+ Decoding iteration 4/10
-[PROC-0][2024-10-03 18:13:52,356][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:13:52,357][energy_star][INFO] - 	+ Decoding iteration 5/10
-[PROC-0][2024-10-03 18:14:29,574][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:14:29,575][energy_star][INFO] - 	+ Decoding iteration 6/10
-[PROC-0][2024-10-03 18:15:06,655][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:15:06,655][energy_star][INFO] - 	+ Decoding iteration 7/10
-[PROC-0][2024-10-03 18:15:43,728][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:15:43,728][energy_star][INFO] - 	+ Decoding iteration 8/10
-[PROC-0][2024-10-03 18:16:20,641][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:16:20,642][energy_star][INFO] - 	+ Decoding iteration 9/10
-[PROC-0][2024-10-03 18:16:57,939][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:16:57,939][energy_star][INFO] - 	+ Decoding iteration 10/10
-[PROC-0][2024-10-03 18:17:34,766][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:17:34,766][energy][INFO] - 		+ prefill energy consumption:
-[PROC-0][2024-10-03 18:17:34,766][energy][INFO] - 			+ CPU: 0.000069 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ GPU: 0.000350 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ total: 0.000420 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ CPU: 0.000077 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ GPU: 0.000380 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ total: 0.000458 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ CPU: 0.000076 (kWh)
-[PROC-0][2024-10-03 18:17:34,767][energy][INFO] - 			+ GPU: 0.000385 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ total: 0.000462 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ CPU: 0.000077 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ GPU: 0.000390 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ total: 0.000467 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ CPU: 0.000077 (kWh)
-[PROC-0][2024-10-03 18:17:34,768][energy][INFO] - 			+ GPU: 0.000391 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ total: 0.000468 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ CPU: 0.000077 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ GPU: 0.000392 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ total: 0.000470 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ CPU: 0.000077 (kWh)
-[PROC-0][2024-10-03 18:17:34,769][energy][INFO] - 			+ GPU: 0.000393 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ total: 0.000471 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ CPU: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ GPU: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ total: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ CPU: 0.000077 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ GPU: 0.000392 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,770][energy][INFO] - 			+ total: 0.000469 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ CPU: 0.000076 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ GPU: 0.000390 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ total: 0.000467 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ CPU: 0.000076 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ GPU: 0.000389 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ total: 0.000466 (kWh)
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 		+ decode energy consumption:
-[PROC-0][2024-10-03 18:17:34,771][energy][INFO] - 			+ CPU: 0.000325 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ GPU: 0.000779 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ RAM: 0.000003 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ total: 0.001107 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 		+ decode_iteration_1 energy consumption:
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ CPU: 0.000361 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ GPU: 0.000871 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ total: 0.001236 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 		+ decode_iteration_2 energy consumption:
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ CPU: 0.000360 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ GPU: 0.000859 (kWh)
-[PROC-0][2024-10-03 18:17:34,772][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ total: 0.001222 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 		+ decode_iteration_3 energy consumption:
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ CPU: 0.000363 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ GPU: 0.000866 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ total: 0.001233 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 		+ decode_iteration_4 energy consumption:
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ CPU: 0.000361 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ GPU: 0.000859 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 			+ total: 0.001223 (kWh)
-[PROC-0][2024-10-03 18:17:34,773][energy][INFO] - 		+ decode_iteration_5 energy consumption:
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ CPU: -0.000077 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ GPU: -0.000392 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ RAM: -0.000001 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ total: -0.000470 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 		+ decode_iteration_6 energy consumption:
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ CPU: 0.000361 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ GPU: 0.000867 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ total: 0.001231 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 		+ decode_iteration_7 energy consumption:
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ CPU: 0.000438 (kWh)
-[PROC-0][2024-10-03 18:17:34,774][energy][INFO] - 			+ GPU: 0.001254 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ total: 0.001696 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 		+ decode_iteration_8 energy consumption:
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ CPU: 0.000359 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ GPU: 0.000866 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ total: 0.001228 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 		+ decode_iteration_9 energy consumption:
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ CPU: 0.000364 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ GPU: 0.000875 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,775][energy][INFO] - 			+ total: 0.001243 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 		+ decode_iteration_10 energy consumption:
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ CPU: 0.000358 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ GPU: 0.000865 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ RAM: 0.000004 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ total: 0.001227 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 		+ preprocess energy consumption:
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ CPU: 0.000010 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ GPU: 0.000017 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:17:34,776][energy][INFO] - 			+ total: 0.000027 (kWh)
-[PROC-0][2024-10-03 18:17:34,777][energy][INFO] - 		+ prefill energy efficiency: 598644104.192557 (tokens/kWh)
-[PROC-0][2024-10-03 18:17:34,777][energy][INFO] - 		+ decode energy efficiency: 8130252.471217 (tokens/kWh)
-[PROC-0][2024-10-03 18:17:34,777][energy][INFO] - 		+ preprocess energy efficiency: 36376638.671862 (samples/kWh)
-[2024-10-03 18:17:35,508][datasets][INFO] - PyTorch version 2.4.0 available.
+[2024-10-03 18:43:38,684][launcher][INFO] - ََAllocating process launcher
+[2024-10-03 18:43:38,684][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-03 18:43:38,710][process][INFO] - 	+ Launched benchmark in isolated process 178.
+[PROC-0][2024-10-03 18:43:41,295][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-03 18:43:42,493][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-03 18:43:42,493][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-03 18:43:43,214][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-03 18:43:43,215][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-03 18:43:43,215][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-03 18:43:43,215][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-03 18:43:43,215][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-03 18:43:43,215][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-03 18:43:43,242][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-03 18:43:43,242][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-03 18:43:43,243][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-03 18:43:43,243][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-03 18:43:43,426][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-03 18:43:43,433][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-03 18:43:43,433][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-03 18:43:44,108][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-03 18:43:44,108][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-03 18:43:44,109][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-03 18:43:48,305][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-03 18:43:49,191][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-03 18:43:49,192][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-03 18:43:49,192][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-03 18:43:49,192][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-03 18:43:50,253][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-03 18:43:50,292][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-03 18:43:50,292][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-03 18:43:56,893][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:43:56,893][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-03 18:44:03,469][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:03,469][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-03 18:44:10,015][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:10,016][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-03 18:44:16,583][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:16,584][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-03 18:44:23,147][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:23,147][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-03 18:44:29,741][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:29,741][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-03 18:44:36,299][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:36,300][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-03 18:44:42,884][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:42,884][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-03 18:44:49,443][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:49,444][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-03 18:44:56,012][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:44:56,013][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-03 18:45:34,680][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:45:34,680][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-03 18:46:13,167][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:46:13,168][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-03 18:46:51,674][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:46:51,674][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-03 18:47:30,011][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:47:30,012][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-03 18:48:08,530][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:48:08,531][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-03 18:48:47,110][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:48:47,110][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-03 18:49:25,607][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:49:25,607][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-03 18:50:04,300][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:50:04,300][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-03 18:50:42,960][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:50:42,960][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-03 18:51:21,221][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:51:21,222][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-03 18:51:21,222][energy][INFO] - 			+ CPU: 0.000070 (kWh)
+[PROC-0][2024-10-03 18:51:21,222][energy][INFO] - 			+ GPU: 0.000354 (kWh)
+[PROC-0][2024-10-03 18:51:21,222][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ total: 0.000425 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ GPU: 0.000386 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ total: 0.000465 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ GPU: 0.000393 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 			+ total: 0.000472 (kWh)
+[PROC-0][2024-10-03 18:51:21,223][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ CPU: 0.000077 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ GPU: 0.000392 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ total: 0.000470 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ GPU: 0.000401 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ total: 0.000480 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ CPU: 0.000077 (kWh)
+[PROC-0][2024-10-03 18:51:21,224][energy][INFO] - 			+ GPU: 0.000391 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ total: 0.000469 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ GPU: 0.000391 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ total: 0.000470 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 18:51:21,225][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ GPU: 0.000394 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ total: 0.000473 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ CPU: 0.000077 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ GPU: 0.000397 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ total: 0.000476 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ CPU: 0.000078 (kWh)
+[PROC-0][2024-10-03 18:51:21,226][energy][INFO] - 			+ GPU: 0.000395 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ total: 0.000474 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ CPU: 0.000339 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ GPU: 0.000808 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ total: 0.001151 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ CPU: 0.000379 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ GPU: 0.000891 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,227][energy][INFO] - 			+ total: 0.001273 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ CPU: 0.000377 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ GPU: 0.000902 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ total: 0.001282 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ CPU: 0.000377 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ GPU: 0.000900 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ total: 0.001280 (kWh)
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-03 18:51:21,228][energy][INFO] - 			+ CPU: 0.000375 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ GPU: 0.000889 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ total: 0.001268 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ CPU: -0.000077 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ GPU: -0.000391 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ RAM: -0.000001 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ total: -0.000469 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ CPU: 0.000378 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ GPU: 0.000903 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,229][energy][INFO] - 			+ total: 0.001284 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ CPU: 0.000454 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ GPU: 0.001287 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ total: 0.001746 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ CPU: 0.000379 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ GPU: 0.000906 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ total: 0.001289 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ CPU: 0.000379 (kWh)
+[PROC-0][2024-10-03 18:51:21,230][energy][INFO] - 			+ GPU: 0.000903 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ total: 0.001286 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ CPU: 0.000374 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ GPU: 0.000893 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ total: 0.001270 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ CPU: 0.000010 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ GPU: 0.000017 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 18:51:21,231][energy][INFO] - 			+ total: 0.000027 (kWh)
+[PROC-0][2024-10-03 18:51:21,232][energy][INFO] - 		+ prefill energy efficiency: 591861268.978547 (tokens/kWh)
+[PROC-0][2024-10-03 18:51:21,232][energy][INFO] - 		+ decode energy efficiency: 7820279.468967 (tokens/kWh)
+[PROC-0][2024-10-03 18:51:21,232][energy][INFO] - 		+ preprocess energy efficiency: 36439208.760948 (samples/kWh)
+[2024-10-03 18:51:22,039][datasets][INFO] - PyTorch version 2.4.0 available.

text_generation/distilbert/distilgpt2/generate_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-03T18:17:34",
+    "timestamp": "2024-10-03T18:51:21",
     "project_name": "codecarbon",
-    "run_id": "04655151-e186-4c4d-9d51-425744f45929",
-    "duration": -1727749176.4609404,
-    "emissions": 0.000625103817264893,
-    "emissions_rate": 1.6975709909260045e-05,
+    "run_id": "914a3d6d-d309-4476-8126-624b9a9047de",
+    "duration": -1727580620.0141263,
+    "emissions": 0.0006437259098499466,
+    "emissions_rate": 1.6825714561364258e-05,
     "cpu_power": 42.5,
-    "gpu_power": 122.6401269131318,
-    "ram_power": 0.41623449325561523,
-    "cpu_energy": 0.0004347437500095922,
-    "gpu_energy": 0.0012544304479877866,
-    "ram_energy": 4.257394141994626e-06,
-    "energy_consumed": 0.001693431592139371,
+    "gpu_power": 121.18700242118783,
+    "ram_power": 0.4057173728942871,
+    "cpu_energy": 0.0004516847640710494,
+    "gpu_energy": 0.0012878832525284878,
+    "ram_energy": 4.311579574196354e-06,
+    "energy_consumed": 0.0017438795961737356,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/distilbert/distilgpt2/prefill_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-03T18:11:23",
+    "timestamp": "2024-10-03T18:44:56",
     "project_name": "codecarbon",
-    "run_id": "04655151-e186-4c4d-9d51-425744f45929",
-    "duration": -1727749206.8098197,
-    "emissions": 0.00017215010786339295,
-    "emissions_rate": 2.658880381579703e-05,
+    "run_id": "914a3d6d-d309-4476-8126-624b9a9047de",
+    "duration": -1727580651.7065213,
+    "emissions": 0.00017479881478171377,
+    "emissions_rate": 2.6621627774907546e-05,
     "cpu_power": 42.5,
-    "gpu_power": 216.57788022123313,
-    "ram_power": 0.41620445251464844,
-    "cpu_energy": 7.64579917485915e-05,
-    "gpu_energy": 0.000389155866879598,
-    "ram_energy": 7.47765144352727e-07,
-    "energy_consumed": 0.0004663616237725425,
+    "gpu_power": 216.72258747184688,
+    "ram_power": 0.4056859016418457,
+    "cpu_energy": 7.75383351845246e-05,
+    "gpu_energy": 0.0003952589273170659,
+    "ram_energy": 7.398157313468105e-07,
+    "energy_consumed": 0.00047353707823293706,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/distilbert/distilgpt2/preprocess_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-03T18:10:18",
+    "timestamp": "2024-10-03T18:43:49",
     "project_name": "codecarbon",
-    "run_id": "04655151-e186-4c4d-9d51-425744f45929",
-    "duration": -1727749212.4098551,
-    "emissions": 1.0147566992666528e-05,
-    "emissions_rate": 1.160289267779206e-05,
+    "run_id": "914a3d6d-d309-4476-8126-624b9a9047de",
+    "duration": -1727580657.3903394,
+    "emissions": 1.0130142515233308e-05,
+    "emissions_rate": 1.148012180358398e-05,
     "cpu_power": 42.5,
-    "gpu_power": 70.2808104209888,
-    "ram_power": 0.28654575347900396,
-    "cpu_energy": 1.034950929802613e-05,
-    "gpu_energy": 1.7071124768008872e-05,
-    "ram_energy": 6.953645303300581e-08,
-    "energy_consumed": 2.7490170519068005e-05,
+    "gpu_power": 69.09786151259047,
+    "ram_power": 0.2840452194213867,
+    "cpu_energy": 1.0441474186558883e-05,
+    "gpu_energy": 1.6931957989463342e-05,
+    "ram_energy": 6.953472702717109e-08,
+    "energy_consumed": 2.74429669030494e-05,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/openai-community/gpt2/benchmark_report.json

@@ -5,57 +5,57 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
-            "cpu": 0.00010787236848355962,
-            "ram": 1.0394980919849097e-06,
-            "gpu": 0.0005631923672202888,
-            "total": 0.0006721042337958334
+            "cpu": 0.00010862582424872218,
+            "ram": 1.0473600411980985e-06,
+            "gpu": 0.0005686025937706951,
+            "total": 0.0006782757780606155
         },
         "efficiency": {
             "unit": "tokens/kWh",
-            "value": 373973243.0793657
+            "value": 370570508.5307317
         },
         "measures": [
             {
                 "unit": "kWh",
-                "cpu": 0.00012023977324958348,
-                "ram": 1.1580350261317451e-06,
-                "gpu": 0.0006197763291542202,
-                "total": 0.0007411741374299354
+                "cpu": 0.00012129653973990776,
+                "ram": 1.1692015629671131e-06,
+                "gpu": 0.0006198074402909981,
+                "total": 0.000742273181593873
             },
             {
                 "unit": "kWh",
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             {
                 "unit": "kWh",
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             {
                 "unit": "kWh",
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-                "total": 0.000742724243377348
+                "cpu": 0.00012112848713695715,
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             },
             {
                 "unit": "kWh",
-                "cpu": 0.00011970459849215134,
-                "ram": 1.1536771368043066e-06,
-                "gpu": 0.0006321260612560664,
-                "total": 0.000752984336885022
+                "cpu": 0.00012062290482305494,
+                "ram": 1.1631245148831908e-06,
+                "gpu": 0.0006336207846739939,
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             },
             {
                 "unit": "kWh",
-                "cpu": 0.00011980066621252057,
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-                "total": 0.00074805052698792
+                "cpu": 0.00012057837473928678,
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+                "gpu": 0.0006421232914766151,
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             },
             {
                 "unit": "kWh",
@@ -66,24 +66,24 @@
             },
             {
                 "unit": "kWh",
-                "cpu": 0.00012010233285329578,
-                "ram": 1.1575383188386895e-06,
-                "gpu": 0.0006329335619024157,
-                "total": 0.0007541934330745504
+                "cpu": 0.00012037484621849016,
+                "ram": 1.1605793702521158e-06,
+                "gpu": 0.0006367591205176382,
+                "total": 0.0007582945461063811
             },
             {
                 "unit": "kWh",
-                "cpu": 0.00011991884001258271,
-                "ram": 1.1557349406890883e-06,
-                "gpu": 0.0006284068916140306,
-                "total": 0.0007494814665673028
+                "cpu": 0.00012038277642305837,
+                "ram": 1.160829471870166e-06,
+                "gpu": 0.0006381185660497835,
+                "total": 0.0007596621719447123
             },
             {
                 "unit": "kWh",
-                "cpu": 0.00011938954869579487,
-                "ram": 1.1504822843077092e-06,
-                "gpu": 0.0006332207843540161,
-                "total": 0.0007537608153341188
+                "cpu": 0.00012079710760036608,
+                "ram": 1.164758251883339e-06,
+                "gpu": 0.0006399980119979887,
+                "total": 0.0007619598778502382
             }
         ]
     },
@@ -93,85 +93,85 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
-            "cpu": 0.0005744526562954403,
-            "ram": 5.539104878545633e-06,
-            "gpu": 0.0013153077189118623,
-            "total": 0.0018952994800858485
+            "cpu": 0.0005922381165179873,
+            "ram": 5.713493398350993e-06,
+            "gpu": 0.001357642836113282,
+            "total": 0.0019555944460296197
         },
         "efficiency": {
             "unit": "tokens/kWh",
-            "value": 4748589.916561546
+            "value": 4602181.202893274
         },
         "measures": [
             {
                 "unit": "kWh",
-                "cpu": 0.0006365085712503866,
-                "ram": 6.1380995223152634e-06,
-                "gpu": 0.001492242027125723,
-                "total": 0.0021348886978984263
+                "cpu": 0.0006625658388062021,
+                "ram": 6.391879774432742e-06,
+                "gpu": 0.001531233169428603,
+                "total": 0.002200190888009238
             },
             {
                 "unit": "kWh",
-                "cpu": 0.0006394577514734313,
-                "ram": 6.165625552054603e-06,
-                "gpu": 0.001497759531539522,
-                "total": 0.0021433829085650094
+                "cpu": 0.0006620358880190504,
+                "ram": 6.386855273198218e-06,
+                "gpu": 0.0015386967865120837,
+                "total": 0.002207119529804332
             },
             {
                 "unit": "kWh",
-                "cpu": 0.0006407656761999736,
-                "ram": 6.178971720356099e-06,
-                "gpu": 0.0014839922983043152,
-                "total": 0.0021309369462246433
+                "cpu": 0.0006593189439701547,
+                "ram": 6.360662992191214e-06,
+                "gpu": 0.0015147431562390068,
+                "total": 0.0021804227632013515
             },
             {
                 "unit": "kWh",
-                "cpu": 0.0006378838420084217,
-                "ram": 6.150413215292772e-06,
-                "gpu": 0.0014845031320462887,
-                "total": 0.0021285373872700023
+                "cpu": 0.0006562932787400821,
+                "ram": 6.331402237152975e-06,
+                "gpu": 0.0015051423152234733,
+                "total": 0.00216776699620071
             },
             {
                 "unit": "kWh",
-                "cpu": -0.00011970459849215134,
-                "ram": -1.1536771368043066e-06,
-                "gpu": -0.0006321260612560664,
-                "total": -0.000752984336885022
+                "cpu": -0.00012062290482305494,
+                "ram": -1.1631245148831908e-06,
+                "gpu": -0.0006336207846739939,
+                "total": -0.0007554068140119318
             },
             {
                 "unit": "kWh",
-                "cpu": 0.0006372509640130577,
-                "ram": 6.144552854783511e-06,
-                "gpu": 0.0014706867321034878,
-                "total": 0.002114082248971328
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             },
             {
                 "unit": "kWh",
-                "cpu": 0.0007585065311200706,
-                "ram": 7.313004685467254e-06,
-                "gpu": 0.0020978277893721753,
-                "total": 0.0028636473251777116
+                "cpu": 0.000776585881390646,
+                "ram": 7.491333902871301e-06,
+                "gpu": 0.002135279486000563,
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             },
             {
                 "unit": "kWh",
-                "cpu": 0.0006354357179910746,
-                "ram": 6.126714301777976e-06,
-                "gpu": 0.001422423637937431,
-                "total": 0.002063986070230282
+                "cpu": 0.0006576145317967329,
+                "ram": 6.344362028391807e-06,
+                "gpu": 0.0015009384229731637,
+                "total": 0.002164897316798289
             },
             {
                 "unit": "kWh",
-                "cpu": 0.0006386119981680172,
-                "ram": 6.157824238758777e-06,
-                "gpu": 0.0014135933530958766,
-                "total": 0.0020583631755026572
+                "cpu": 0.0006543893637049931,
+                "ram": 6.313083185095556e-06,
+                "gpu": 0.0014967336973858991,
+                "total": 0.002157436144275983
             },
             {
                 "unit": "kWh",
-                "cpu": 0.0006398101092221218,
-                "ram": 6.169519831454383e-06,
-                "gpu": 0.0014221747488498693,
-                "total": 0.0020681543779034472
+                "cpu": 0.0006591603588688387,
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+                "gpu": 0.0014974711979753863,
+                "total": 0.002162990734857177
             }
         ]
     },
@@ -189,14 +189,14 @@
         "throughput": null,
         "energy": {
             "unit": "kWh",
-            "cpu": 1.0370638751576028e-05,
-            "ram": 6.954359762515809e-08,
-            "gpu": 1.8013347744094688e-05,
-            "total": 2.845353009329587e-05
+            "cpu": 1.0461925458002953e-05,
+            "ram": 6.982946294395582e-08,
+            "gpu": 1.796279214882901e-05,
+            "total": 2.849454706977592e-05
         },
         "efficiency": {
             "unit": "samples/kWh",
-            "value": 35145024.06981188
+            "value": 35094433.94735328
         },
         "measures": null
     }

text_generation/openai-community/gpt2/cli.log

@@ -1,188 +1,188 @@
-[2024-10-03 18:17:39,316][launcher][INFO] - ََAllocating process launcher
-[2024-10-03 18:17:39,316][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-03 18:17:39,331][process][INFO] - 	+ Launched benchmark in isolated process 365.
-[PROC-0][2024-10-03 18:17:41,873][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-03 18:17:42,849][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-03 18:17:42,849][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-03 18:17:43,376][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
-[PROC-0][2024-10-03 18:17:43,377][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-03 18:17:43,377][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-03 18:17:43,377][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-03 18:17:43,377][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-03 18:17:43,377][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-03 18:17:43,397][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-03 18:17:43,398][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-03 18:17:43,399][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-03 18:17:43,399][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-03 18:17:43,574][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-03 18:17:43,580][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-03 18:17:43,580][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-03 18:17:43,949][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
-[PROC-0][2024-10-03 18:17:43,949][energy_star][INFO] - 	+ Initializing Text Generation report
-[PROC-0][2024-10-03 18:17:43,949][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-03 18:17:48,136][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-03 18:17:49,015][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-03 18:17:49,015][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-03 18:17:49,016][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-03 18:17:49,016][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-03 18:17:49,947][energy_star][INFO] - 	+ Additional warmup for Text Generation
-[PROC-0][2024-10-03 18:17:50,012][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
-[PROC-0][2024-10-03 18:17:50,012][energy_star][INFO] - 	+ Prefill iteration 1/10
-[PROC-0][2024-10-03 18:18:00,198][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:18:00,198][energy_star][INFO] - 	+ Prefill iteration 2/10
-[PROC-0][2024-10-03 18:18:10,348][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:18:10,349][energy_star][INFO] - 	+ Prefill iteration 3/10
-[PROC-0][2024-10-03 18:18:20,492][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:18:20,492][energy_star][INFO] - 	+ Prefill iteration 4/10
-[PROC-0][2024-10-03 18:18:30,658][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:18:30,659][energy_star][INFO] - 	+ Prefill iteration 5/10
-[PROC-0][2024-10-03 18:18:40,799][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:18:40,800][energy_star][INFO] - 	+ Prefill iteration 6/10
-[PROC-0][2024-10-03 18:18:50,948][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:18:50,948][energy_star][INFO] - 	+ Prefill iteration 7/10
-[PROC-0][2024-10-03 18:19:01,101][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:19:01,102][energy_star][INFO] - 	+ Prefill iteration 8/10
-[PROC-0][2024-10-03 18:19:11,276][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:19:11,276][energy_star][INFO] - 	+ Prefill iteration 9/10
-[PROC-0][2024-10-03 18:19:21,435][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:19:21,436][energy_star][INFO] - 	+ Prefill iteration 10/10
-[PROC-0][2024-10-03 18:19:31,549][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-03 18:19:31,550][energy_star][INFO] - 	+ Decoding iteration 1/10
-[PROC-0][2024-10-03 18:20:35,651][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:20:35,652][energy_star][INFO] - 	+ Decoding iteration 2/10
-[PROC-0][2024-10-03 18:21:39,968][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:21:39,968][energy_star][INFO] - 	+ Decoding iteration 3/10
-[PROC-0][2024-10-03 18:22:44,388][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:22:44,389][energy_star][INFO] - 	+ Decoding iteration 4/10
-[PROC-0][2024-10-03 18:23:48,587][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:23:48,587][energy_star][INFO] - 	+ Decoding iteration 5/10
-[PROC-0][2024-10-03 18:24:52,787][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:24:52,787][energy_star][INFO] - 	+ Decoding iteration 6/10
-[PROC-0][2024-10-03 18:25:56,915][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:25:56,915][energy_star][INFO] - 	+ Decoding iteration 7/10
-[PROC-0][2024-10-03 18:27:01,166][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:27:01,166][energy_star][INFO] - 	+ Decoding iteration 8/10
-[PROC-0][2024-10-03 18:28:05,165][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:28:05,166][energy_star][INFO] - 	+ Decoding iteration 9/10
-[PROC-0][2024-10-03 18:29:09,418][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:29:09,419][energy_star][INFO] - 	+ Decoding iteration 10/10
-[PROC-0][2024-10-03 18:30:13,728][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 		+ prefill energy consumption:
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 			+ CPU: 0.000108 (kWh)
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 			+ GPU: 0.000563 (kWh)
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 			+ total: 0.000672 (kWh)
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,729][energy][INFO] - 			+ GPU: 0.000620 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ total: 0.000741 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ GPU: 0.000613 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ total: 0.000734 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ GPU: 0.000624 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,730][energy][INFO] - 			+ total: 0.000745 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ GPU: 0.000622 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ total: 0.000743 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ GPU: 0.000632 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ total: 0.000753 (kWh)
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
-[PROC-0][2024-10-03 18:30:13,731][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ GPU: 0.000627 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ total: 0.000748 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ CPU: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ GPU: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ total: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,732][energy][INFO] - 			+ GPU: 0.000633 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ total: 0.000754 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ CPU: 0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ GPU: 0.000628 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ total: 0.000749 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ CPU: 0.000119 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ GPU: 0.000633 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ RAM: 0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,733][energy][INFO] - 			+ total: 0.000754 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 		+ decode energy consumption:
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ CPU: 0.000574 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ GPU: 0.001315 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ total: 0.001895 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 		+ decode_iteration_1 energy consumption:
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ CPU: 0.000637 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ GPU: 0.001492 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ total: 0.002135 (kWh)
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 		+ decode_iteration_2 energy consumption:
-[PROC-0][2024-10-03 18:30:13,734][energy][INFO] - 			+ CPU: 0.000639 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ GPU: 0.001498 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ total: 0.002143 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 		+ decode_iteration_3 energy consumption:
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ CPU: 0.000641 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ GPU: 0.001484 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ total: 0.002131 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 		+ decode_iteration_4 energy consumption:
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ CPU: 0.000638 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ GPU: 0.001485 (kWh)
-[PROC-0][2024-10-03 18:30:13,735][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ total: 0.002129 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 		+ decode_iteration_5 energy consumption:
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ CPU: -0.000120 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ GPU: -0.000632 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ RAM: -0.000001 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ total: -0.000753 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 		+ decode_iteration_6 energy consumption:
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ CPU: 0.000637 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ GPU: 0.001471 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 			+ total: 0.002114 (kWh)
-[PROC-0][2024-10-03 18:30:13,736][energy][INFO] - 		+ decode_iteration_7 energy consumption:
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ CPU: 0.000759 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ GPU: 0.002098 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ RAM: 0.000007 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ total: 0.002864 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 		+ decode_iteration_8 energy consumption:
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ CPU: 0.000635 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ GPU: 0.001422 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ total: 0.002064 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 		+ decode_iteration_9 energy consumption:
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ CPU: 0.000639 (kWh)
-[PROC-0][2024-10-03 18:30:13,737][energy][INFO] - 			+ GPU: 0.001414 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ total: 0.002058 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 		+ decode_iteration_10 energy consumption:
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ CPU: 0.000640 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ GPU: 0.001422 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ RAM: 0.000006 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ total: 0.002068 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 		+ preprocess energy consumption:
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ CPU: 0.000010 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ GPU: 0.000018 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ RAM: 0.000000 (kWh)
-[PROC-0][2024-10-03 18:30:13,738][energy][INFO] - 			+ total: 0.000028 (kWh)
-[PROC-0][2024-10-03 18:30:13,739][energy][INFO] - 		+ prefill energy efficiency: 373973243.079366 (tokens/kWh)
-[PROC-0][2024-10-03 18:30:13,739][energy][INFO] - 		+ decode energy efficiency: 4748589.916562 (tokens/kWh)
-[PROC-0][2024-10-03 18:30:13,739][energy][INFO] - 		+ preprocess energy efficiency: 35145024.069812 (samples/kWh)
-[2024-10-03 18:30:14,471][datasets][INFO] - PyTorch version 2.4.0 available.
+[2024-10-03 18:51:25,930][launcher][INFO] - ََAllocating process launcher
+[2024-10-03 18:51:25,930][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-03 18:51:25,944][process][INFO] - 	+ Launched benchmark in isolated process 365.
+[PROC-0][2024-10-03 18:51:28,553][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-03 18:51:29,453][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-03 18:51:29,453][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-03 18:51:30,052][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-03 18:51:30,053][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-03 18:51:30,053][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-03 18:51:30,053][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-03 18:51:30,053][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-03 18:51:30,053][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-03 18:51:30,074][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-03 18:51:30,074][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-03 18:51:30,075][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-03 18:51:30,075][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-03 18:51:30,232][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-03 18:51:30,238][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-03 18:51:30,238][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-03 18:51:30,657][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-03 18:51:30,658][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-03 18:51:30,658][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-03 18:51:34,862][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-03 18:51:35,749][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-03 18:51:35,749][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-03 18:51:35,749][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-03 18:51:35,750][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-03 18:51:36,630][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-03 18:51:36,696][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-03 18:51:36,696][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-03 18:51:46,971][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:51:46,972][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-03 18:51:57,182][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:51:57,182][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-03 18:52:07,394][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:52:07,395][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-03 18:52:17,656][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:52:17,656][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-03 18:52:27,874][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:52:27,875][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-03 18:52:38,089][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:52:38,090][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-03 18:52:48,301][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:52:48,302][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-03 18:52:58,499][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:52:58,499][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-03 18:53:08,697][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:53:08,698][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-03 18:53:18,930][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-03 18:53:18,931][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-03 18:54:25,329][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:54:25,330][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-03 18:55:31,618][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:55:31,618][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-03 18:56:37,679][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:56:37,679][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-03 18:57:43,532][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:57:43,532][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-03 18:58:48,869][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:58:48,869][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-03 18:59:54,569][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 18:59:54,570][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-03 19:01:00,352][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 19:01:00,352][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-03 19:02:06,253][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 19:02:06,254][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-03 19:03:11,882][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 19:03:11,882][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-03 19:04:17,950][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ CPU: 0.000109 (kWh)
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ GPU: 0.000569 (kWh)
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ total: 0.000678 (kWh)
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ CPU: 0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ GPU: 0.000620 (kWh)
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,951][energy][INFO] - 			+ total: 0.000742 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ CPU: 0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ GPU: 0.000620 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ total: 0.000741 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ CPU: 0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ GPU: 0.000628 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ total: 0.000749 (kWh)
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-03 19:04:17,952][energy][INFO] - 			+ CPU: 0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ GPU: 0.000628 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ total: 0.000751 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ CPU: 0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ GPU: 0.000634 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ total: 0.000755 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ CPU: 0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ GPU: 0.000642 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,953][energy][INFO] - 			+ total: 0.000764 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ CPU: 0.000120 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ GPU: 0.000637 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ total: 0.000758 (kWh)
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-03 19:04:17,954][energy][INFO] - 			+ CPU: 0.000120 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ GPU: 0.000638 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ total: 0.000760 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ CPU: 0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ GPU: 0.000640 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ RAM: 0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ total: 0.000762 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ CPU: 0.000592 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ GPU: 0.001358 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,955][energy][INFO] - 			+ total: 0.001956 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ CPU: 0.000663 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ GPU: 0.001531 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ total: 0.002200 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ CPU: 0.000662 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ GPU: 0.001539 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ total: 0.002207 (kWh)
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-03 19:04:17,956][energy][INFO] - 			+ CPU: 0.000659 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ GPU: 0.001515 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ total: 0.002180 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ CPU: 0.000656 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ GPU: 0.001505 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ total: 0.002168 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ CPU: -0.000121 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ GPU: -0.000634 (kWh)
+[PROC-0][2024-10-03 19:04:17,957][energy][INFO] - 			+ RAM: -0.000001 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ total: -0.000755 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ CPU: 0.000655 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ GPU: 0.001490 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ total: 0.002151 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ CPU: 0.000777 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ GPU: 0.002135 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ total: 0.002919 (kWh)
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-03 19:04:17,958][energy][INFO] - 			+ CPU: 0.000658 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ GPU: 0.001501 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ total: 0.002165 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ CPU: 0.000654 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ GPU: 0.001497 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ total: 0.002157 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ CPU: 0.000659 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ GPU: 0.001497 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ RAM: 0.000006 (kWh)
+[PROC-0][2024-10-03 19:04:17,959][energy][INFO] - 			+ total: 0.002163 (kWh)
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 			+ CPU: 0.000010 (kWh)
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 			+ GPU: 0.000018 (kWh)
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 			+ total: 0.000028 (kWh)
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 		+ prefill energy efficiency: 370570508.530732 (tokens/kWh)
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 		+ decode energy efficiency: 4602181.202893 (tokens/kWh)
+[PROC-0][2024-10-03 19:04:17,960][energy][INFO] - 		+ preprocess energy efficiency: 35094433.947353 (samples/kWh)
+[2024-10-03 19:04:18,659][datasets][INFO] - PyTorch version 2.4.0 available.

text_generation/openai-community/gpt2/generate_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-03T18:30:13",
+    "timestamp": "2024-10-03T19:04:17",
     "project_name": "codecarbon",
-    "run_id": "f2440211-89ce-4cf2-93e0-d639eebe10bc",
-    "duration": -1727749148.9808366,
-    "emissions": 0.0010416659093161768,
-    "emissions_rate": 1.619922292128517e-05,
+    "run_id": "a786915c-f253-4a5e-be38-23af937e8b0d",
+    "duration": -1727580592.2074866,
+    "emissions": 0.0010796998247828912,
+    "emissions_rate": 1.634296874122634e-05,
     "cpu_power": 42.5,
-    "gpu_power": 115.06517858650466,
-    "ram_power": 0.4097929000854492,
-    "cpu_energy": 0.0007591996579179167,
-    "gpu_energy": 0.0020553955332038853,
-    "ram_energy": 7.320002115762092e-06,
-    "energy_consumed": 0.002821915193237566,
+    "gpu_power": 116.47507183640775,
+    "ram_power": 0.40999889373779297,
+    "cpu_energy": 0.0007799574664692048,
+    "gpu_energy": 0.002137469209973375,
+    "ram_energy": 7.5239362648371865e-06,
+    "energy_consumed": 0.002924950612707415,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/openai-community/gpt2/prefill_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-03T18:19:31",
+    "timestamp": "2024-10-03T18:53:18",
     "project_name": "codecarbon",
-    "run_id": "f2440211-89ce-4cf2-93e0-d639eebe10bc",
-    "duration": -1727749203.1733582,
-    "emissions": 0.0002782390296467768,
-    "emissions_rate": 2.7518435294695017e-05,
+    "run_id": "a786915c-f253-4a5e-be38-23af937e8b0d",
+    "duration": -1727580648.0422175,
+    "emissions": 0.0002812655854879517,
+    "emissions_rate": 2.7493271177871234e-05,
     "cpu_power": 42.5,
-    "gpu_power": 225.50128675243297,
-    "ram_power": 0.40973424911499023,
-    "cpu_energy": 0.00011938954869579487,
-    "gpu_energy": 0.0006332207843540161,
-    "ram_energy": 1.1504822843077092e-06,
-    "energy_consumed": 0.0007537608153341188,
+    "gpu_power": 225.23359145102106,
+    "ram_power": 0.40993881225585943,
+    "cpu_energy": 0.00012079710760036608,
+    "gpu_energy": 0.0006399980119979887,
+    "ram_energy": 1.164758251883339e-06,
+    "energy_consumed": 0.0007619598778502382,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",

text_generation/openai-community/gpt2/preprocess_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-03T18:17:49",
+    "timestamp": "2024-10-03T18:51:35",
     "project_name": "codecarbon",
-    "run_id": "f2440211-89ce-4cf2-93e0-d639eebe10bc",
-    "duration": -1727749212.4080386,
-    "emissions": 1.050317612978422e-05,
-    "emissions_rate": 1.1984791592027801e-05,
+    "run_id": "a786915c-f253-4a5e-be38-23af937e8b0d",
+    "duration": -1727580657.3885057,
+    "emissions": 1.0518316905880142e-05,
+    "emissions_rate": 1.1896473543713744e-05,
     "cpu_power": 42.5,
-    "gpu_power": 74.01215801634255,
-    "ram_power": 0.28600502014160156,
-    "cpu_energy": 1.0370638751576028e-05,
-    "gpu_energy": 1.8013347744094688e-05,
-    "ram_energy": 6.954359762515809e-08,
-    "energy_consumed": 2.845353009329587e-05,
+    "gpu_power": 73.15484209569179,
+    "ram_power": 0.28464317321777344,
+    "cpu_energy": 1.0461925458002953e-05,
+    "gpu_energy": 1.796279214882901e-05,
+    "ram_energy": 6.982946294395582e-08,
+    "energy_consumed": 2.849454706977592e-05,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",