Adding a10 results from energy score

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: EleutherAI/pythia-1.4b
+  processor: EleutherAI/pythia-1.4b
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: /runs/text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=/runs/text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57
+    - hydra.mode=RUN
+    task:
+    - backend.model=EleutherAI/pythia-1.4b
+    - backend.processor=EleutherAI/pythia-1.4b
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=EleutherAI/pythia-1.4b,backend.processor=EleutherAI/pythia-1.4b
+    id: ???
+    num: ???
+    config_name: text_generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /runs/text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57
+    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

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=EleutherAI/pythia-1.4b
+- backend.processor=EleutherAI/pythia-1.4b

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/benchmark_report.json

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

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/cli.log

@@ -0,0 +1,188 @@
+[2024-10-25 13:07:00,323][launcher][INFO] - ََAllocating process launcher
+[2024-10-25 13:07:00,323][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-25 13:07:00,335][process][INFO] - 	+ Launched benchmark in isolated process 351.
+[PROC-0][2024-10-25 13:07:02,873][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-25 13:07:03,794][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-25 13:07:03,794][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-25 13:07:04,645][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-25 13:07:04,645][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-25 13:07:04,645][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-25 13:07:04,646][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-25 13:07:04,646][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-25 13:07:04,646][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-25 13:07:04,666][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-25 13:07:04,666][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-25 13:07:04,667][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-25 13:07:04,667][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-25 13:07:05,038][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-25 13:07:05,045][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-25 13:07:05,045][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-25 13:07:06,316][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-25 13:07:06,317][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-25 13:07:06,317][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-25 13:07:10,519][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-25 13:07:11,462][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-25 13:07:11,463][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-25 13:07:11,463][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-25 13:07:11,463][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-25 13:07:12,868][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-25 13:07:13,067][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-25 13:07:13,067][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-25 13:08:16,356][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:08:16,357][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-25 13:09:19,878][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:09:19,878][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-25 13:10:23,466][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:10:23,467][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-25 13:11:27,441][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:11:27,442][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-25 13:12:31,574][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:12:31,574][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-25 13:13:35,635][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:13:35,635][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-25 13:14:39,660][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:14:39,660][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-25 13:15:43,699][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:15:43,700][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-25 13:16:47,745][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:16:47,745][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-25 13:17:51,801][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 13:17:51,802][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-25 13:21:17,249][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:21:17,250][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-25 13:24:42,398][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:24:42,398][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-25 13:28:07,656][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:28:07,656][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-25 13:31:32,659][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:31:32,659][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-25 13:34:57,839][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:34:57,840][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-25 13:38:22,843][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:38:22,843][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-25 13:41:48,027][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:41:48,027][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-25 13:45:12,960][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:45:12,960][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-25 13:48:37,708][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:48:37,708][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-25 13:52:02,637][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 13:52:02,638][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-25 13:52:02,638][energy][INFO] - 			+ CPU: 0.000678 (kWh)
+[PROC-0][2024-10-25 13:52:02,638][energy][INFO] - 			+ GPU: 0.004671 (kWh)
+[PROC-0][2024-10-25 13:52:02,638][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-25 13:52:02,638][energy][INFO] - 			+ total: 0.005356 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ CPU: 0.000747 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ GPU: 0.005128 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ total: 0.005883 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ CPU: 0.000750 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ GPU: 0.005163 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ total: 0.005920 (kWh)
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-25 13:52:02,639][energy][INFO] - 			+ CPU: 0.000751 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ GPU: 0.005159 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ total: 0.005918 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ CPU: 0.000755 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ GPU: 0.005192 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ total: 0.005955 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ CPU: 0.000757 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ GPU: 0.005253 (kWh)
+[PROC-0][2024-10-25 13:52:02,640][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ total: 0.006017 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ CPU: 0.000756 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ GPU: 0.005223 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ total: 0.005987 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-25 13:52:02,641][energy][INFO] - 			+ CPU: 0.000756 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ GPU: 0.005202 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ total: 0.005966 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ CPU: 0.000756 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ GPU: 0.005200 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ total: 0.005964 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ CPU: 0.000756 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ GPU: 0.005188 (kWh)
+[PROC-0][2024-10-25 13:52:02,642][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ total: 0.005952 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ CPU: 0.001500 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ GPU: 0.005863 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ RAM: 0.000015 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ total: 0.007379 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ CPU: 0.001678 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ GPU: 0.006699 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ total: 0.008394 (kWh)
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-25 13:52:02,643][energy][INFO] - 			+ CPU: 0.001672 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ GPU: 0.006521 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ total: 0.008210 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ CPU: 0.001672 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ GPU: 0.006527 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ total: 0.008217 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ CPU: 0.001665 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ GPU: 0.006494 (kWh)
+[PROC-0][2024-10-25 13:52:02,644][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ total: 0.008176 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ CPU: -0.000757 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ GPU: -0.005253 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ RAM: -0.000008 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ total: -0.006017 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ CPU: 0.001664 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ GPU: 0.006471 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 			+ total: 0.008151 (kWh)
+[PROC-0][2024-10-25 13:52:02,645][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ CPU: 0.002422 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ GPU: 0.011691 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ RAM: 0.000025 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ total: 0.014138 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ CPU: 0.001663 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ GPU: 0.006497 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ total: 0.008177 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ CPU: 0.001661 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ GPU: 0.006486 (kWh)
+[PROC-0][2024-10-25 13:52:02,646][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ total: 0.008164 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ CPU: 0.001663 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ GPU: 0.006499 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ RAM: 0.000017 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ total: 0.008178 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ CPU: 0.000011 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ GPU: 0.000019 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-25 13:52:02,647][energy][INFO] - 			+ total: 0.000030 (kWh)
+[PROC-0][2024-10-25 13:52:02,648][energy][INFO] - 		+ prefill energy efficiency: 56280142.641514 (tokens/kWh)
+[PROC-0][2024-10-25 13:52:02,648][energy][INFO] - 		+ decode energy efficiency: 1219724.614182 (tokens/kWh)
+[PROC-0][2024-10-25 13:52:02,648][energy][INFO] - 		+ preprocess energy efficiency: 33539822.245261 (samples/kWh)
+[2024-10-25 13:52:03,342][datasets][INFO] - PyTorch version 2.4.0 available.

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "EleutherAI/pythia-1.4b",
+        "processor": "EleutherAI/pythia-1.4b",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/generate_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-25T13:52:02",
+    "project_name": "codecarbon",
+    "run_id": "8bd2e04f-cfc4-4707-8676-e5f40e6d32e7",
+    "duration": -1729480256.4145586,
+    "emissions": 0.005216170007237689,
+    "emissions_rate": 2.5454396948743776e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 205.30973435218456,
+    "ram_power": 0.43064117431640625,
+    "cpu_energy": 0.0024192911417903404,
+    "gpu_energy": 0.011687011294046368,
+    "ram_energy": 2.4513656241329765e-05,
+    "energy_consumed": 0.014130816092078058,
+    "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
+}

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/prefill_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-25T13:17:51",
+    "project_name": "codecarbon",
+    "run_id": "8bd2e04f-cfc4-4707-8676-e5f40e6d32e7",
+    "duration": -1729480397.2874951,
+    "emissions": 0.0021972070187331605,
+    "emissions_rate": 3.430497464397154e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 291.60627364641437,
+    "ram_power": 0.4305853843688965,
+    "cpu_energy": 0.000756214538868598,
+    "gpu_energy": 0.005188447206309732,
+    "ram_energy": 7.661176593828245e-06,
+    "energy_consumed": 0.0059523229217721615,
+    "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
+}

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-25T13:07:11",
+    "project_name": "codecarbon",
+    "run_id": "8bd2e04f-cfc4-4707-8676-e5f40e6d32e7",
+    "duration": -1729480460.397016,
+    "emissions": 1.100585373385212e-05,
+    "emissions_rate": 1.1711243963235281e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 71.30390443126397,
+    "ram_power": 0.32120847702026367,
+    "cpu_energy": 1.1119852669475626e-05,
+    "gpu_energy": 1.861168155592452e-05,
+    "ram_energy": 8.376988347301967e-08,
+    "energy_consumed": 2.9815304108873166e-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
+}

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: EleutherAI/pythia-1.4b
+  processor: EleutherAI/pythia-1.4b
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: /runs/text_generation/EleutherAI/pythia-1.4b/2024-10-25-14-19-11
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=/runs/text_generation/EleutherAI/pythia-1.4b/2024-10-25-14-19-11
+    - hydra.mode=RUN
+    task:
+    - backend.model=EleutherAI/pythia-1.4b
+    - backend.processor=EleutherAI/pythia-1.4b
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=EleutherAI/pythia-1.4b,backend.processor=EleutherAI/pythia-1.4b
+    id: ???
+    num: ???
+    config_name: text_generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /runs/text_generation/EleutherAI/pythia-1.4b/2024-10-25-14-19-11
+    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

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=EleutherAI/pythia-1.4b
+- backend.processor=EleutherAI/pythia-1.4b

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/benchmark_report.json

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

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/cli.log

@@ -0,0 +1,188 @@
+[2024-10-25 14:19:14,194][launcher][INFO] - ََAllocating process launcher
+[2024-10-25 14:19:14,194][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-25 14:19:14,207][process][INFO] - 	+ Launched benchmark in isolated process 351.
+[PROC-0][2024-10-25 14:19:16,766][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-25 14:19:17,741][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-25 14:19:17,741][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-25 14:19:18,360][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-25 14:19:18,360][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-25 14:19:18,361][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-25 14:19:18,361][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-25 14:19:18,361][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-25 14:19:18,361][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-25 14:19:18,384][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-25 14:19:18,384][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-25 14:19:18,385][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-25 14:19:18,385][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-25 14:19:18,760][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-25 14:19:18,767][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-25 14:19:18,767][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-25 14:19:20,814][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-25 14:19:20,814][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-25 14:19:20,814][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-25 14:19:25,041][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-25 14:19:25,997][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-25 14:19:25,998][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-25 14:19:25,998][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-25 14:19:25,998][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-25 14:19:27,541][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-25 14:19:27,742][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-25 14:19:27,743][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-25 14:20:32,467][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:20:32,467][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-25 14:21:37,682][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:21:37,682][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-25 14:22:43,182][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:22:43,183][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-25 14:23:48,636][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:23:48,636][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-25 14:24:54,164][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:24:54,164][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-25 14:25:59,719][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:25:59,720][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-25 14:27:05,283][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:27:05,283][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-25 14:28:10,852][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:28:10,852][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-25 14:29:16,384][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:29:16,384][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-25 14:30:22,042][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-25 14:30:22,043][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-25 14:33:51,789][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:33:51,789][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-25 14:37:21,225][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:37:21,226][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-25 14:40:50,695][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:40:50,696][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-25 14:44:20,455][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:44:20,455][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-25 14:47:50,217][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:47:50,218][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-25 14:51:19,718][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:51:19,718][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-25 14:54:49,747][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:54:49,747][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-25 14:58:19,078][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 14:58:19,079][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-25 15:01:48,962][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 15:01:48,963][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-25 15:05:18,752][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ CPU: 0.000695 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ GPU: 0.004784 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ RAM: 0.000007 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ total: 0.005486 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ CPU: 0.000764 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ GPU: 0.005254 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ total: 0.006026 (kWh)
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-25 15:05:18,753][energy][INFO] - 			+ CPU: 0.000770 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ GPU: 0.005302 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ total: 0.006080 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ CPU: 0.000773 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ GPU: 0.005305 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ total: 0.006087 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ CPU: 0.000773 (kWh)
+[PROC-0][2024-10-25 15:05:18,754][energy][INFO] - 			+ GPU: 0.005334 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ total: 0.006115 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ CPU: 0.000774 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ GPU: 0.005337 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ total: 0.006119 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ CPU: 0.000774 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ GPU: 0.005316 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,755][energy][INFO] - 			+ total: 0.006098 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ CPU: 0.000774 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ GPU: 0.005337 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ total: 0.006119 (kWh)
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-25 15:05:18,756][energy][INFO] - 			+ CPU: 0.000774 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ GPU: 0.005326 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ total: 0.006107 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ CPU: 0.000775 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ GPU: 0.005328 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ RAM: 0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ total: 0.006111 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ CPU: 0.001533 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ GPU: 0.006043 (kWh)
+[PROC-0][2024-10-25 15:05:18,757][energy][INFO] - 			+ RAM: 0.000016 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ total: 0.007592 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ CPU: 0.001712 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ GPU: 0.006835 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ total: 0.008565 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ CPU: 0.001703 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ GPU: 0.006717 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,758][energy][INFO] - 			+ total: 0.008438 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ CPU: 0.001700 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ GPU: 0.006708 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ total: 0.008426 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ CPU: 0.001704 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ GPU: 0.006688 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ total: 0.008409 (kWh)
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-25 15:05:18,759][energy][INFO] - 			+ CPU: -0.000774 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ GPU: -0.005337 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ RAM: -0.000008 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ total: -0.006119 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ CPU: 0.001699 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ GPU: 0.006700 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ total: 0.008417 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ CPU: 0.002479 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ GPU: 0.012037 (kWh)
+[PROC-0][2024-10-25 15:05:18,760][energy][INFO] - 			+ RAM: 0.000026 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ total: 0.014542 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ CPU: 0.001697 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ GPU: 0.006678 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ total: 0.008393 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ CPU: 0.001704 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ GPU: 0.006701 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ total: 0.008423 (kWh)
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-25 15:05:18,761][energy][INFO] - 			+ CPU: 0.001702 (kWh)
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 			+ GPU: 0.006704 (kWh)
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 			+ total: 0.008423 (kWh)
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 			+ CPU: 0.000011 (kWh)
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 			+ GPU: 0.000019 (kWh)
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-25 15:05:18,762][energy][INFO] - 			+ total: 0.000030 (kWh)
+[PROC-0][2024-10-25 15:05:18,763][energy][INFO] - 		+ prefill energy efficiency: 54946841.777042 (tokens/kWh)
+[PROC-0][2024-10-25 15:05:18,763][energy][INFO] - 		+ decode energy efficiency: 1185499.073806 (tokens/kWh)
+[PROC-0][2024-10-25 15:05:18,763][energy][INFO] - 		+ preprocess energy efficiency: 33069647.189926 (samples/kWh)
+[2024-10-25 15:05:19,487][datasets][INFO] - PyTorch version 2.4.0 available.

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "EleutherAI/pythia-1.4b",
+        "processor": "EleutherAI/pythia-1.4b",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/generate_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-25T15:05:18",
+    "project_name": "codecarbon",
+    "run_id": "8248080f-4663-456d-a137-5e9a7085d7e8",
+    "duration": -1729590786.5050704,
+    "emissions": 0.005365198897281848,
+    "emissions_rate": 2.557515390694824e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 206.47512668371553,
+    "ram_power": 0.442159652709961,
+    "cpu_energy": 0.0024766705044626906,
+    "gpu_energy": 0.012032104625675721,
+    "ram_energy": 2.576626895579409e-05,
+    "energy_consumed": 0.014534541399094186,
+    "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
+}

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/prefill_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-25T14:30:22",
+    "project_name": "codecarbon",
+    "run_id": "8248080f-4663-456d-a137-5e9a7085d7e8",
+    "duration": -1729590930.6361673,
+    "emissions": 0.002255885002929423,
+    "emissions_rate": 3.436201095544714e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 292.1524531813292,
+    "ram_power": 0.4420952796936035,
+    "cpu_energy": 0.0007751207219166339,
+    "gpu_energy": 0.005328100651365908,
+    "ram_energy": 8.062587370780708e-06,
+    "energy_consumed": 0.006111283960653323,
+    "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
+}

runs/text_generation/a10g-large/EleutherAI/pythia-1.4b/2024-10-25-14-19-11/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-25T14:19:25",
+    "project_name": "codecarbon",
+    "run_id": "8248080f-4663-456d-a137-5e9a7085d7e8",
+    "duration": -1729590995.334638,
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+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: HuggingFaceTB/SmolLM-1.7B
+  processor: HuggingFaceTB/SmolLM-1.7B
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ./runs/text_generation/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=./runs/text_generation/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02
+    - hydra.mode=RUN
+    task:
+    - backend.model=HuggingFaceTB/SmolLM-1.7B
+    - backend.processor=HuggingFaceTB/SmolLM-1.7B
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=HuggingFaceTB/SmolLM-1.7B,backend.processor=HuggingFaceTB/SmolLM-1.7B
+    id: ???
+    num: ???
+    config_name: text_generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /runs/text_generation/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02
+    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

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=HuggingFaceTB/SmolLM-1.7B
+- backend.processor=HuggingFaceTB/SmolLM-1.7B

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/benchmark_report.json

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

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/cli.log

@@ -0,0 +1,188 @@
+[2024-10-24 15:16:05,195][launcher][INFO] - ََAllocating process launcher
+[2024-10-24 15:16:05,195][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-24 15:16:05,207][process][INFO] - 	+ Launched benchmark in isolated process 180.
+[PROC-0][2024-10-24 15:16:07,766][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-24 15:16:08,703][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-24 15:16:08,703][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-24 15:16:09,749][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-24 15:16:09,749][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-24 15:16:09,750][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-24 15:16:09,750][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-24 15:16:09,750][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-24 15:16:09,750][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-24 15:16:09,773][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-24 15:16:09,773][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-24 15:16:09,774][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-24 15:16:09,774][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-24 15:16:10,025][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-24 15:16:10,032][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-24 15:16:10,032][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-24 15:16:11,499][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-24 15:16:11,499][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-24 15:16:11,499][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-24 15:16:15,698][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-24 15:16:16,583][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-24 15:16:16,583][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-24 15:16:16,583][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-24 15:16:16,584][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-24 15:16:18,192][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-24 15:16:18,432][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-24 15:16:18,432][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-24 15:17:44,735][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:17:44,735][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-24 15:19:11,469][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:19:11,469][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-24 15:20:38,143][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:20:38,143][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-24 15:22:04,894][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:22:04,895][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-24 15:23:31,611][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:23:31,611][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-24 15:24:58,342][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:24:58,342][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-24 15:26:25,098][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:26:25,099][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-24 15:27:51,847][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:27:51,847][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-24 15:29:18,599][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:29:18,599][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-24 15:30:45,354][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 15:30:45,354][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-24 15:35:01,155][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:35:01,155][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-24 15:39:16,890][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:39:16,890][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-24 15:43:32,714][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:43:32,714][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-24 15:47:48,349][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:47:48,349][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-24 15:52:04,040][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:52:04,040][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-24 15:56:19,729][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:56:19,729][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-24 16:00:35,383][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 16:00:35,383][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-24 16:04:51,165][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 16:04:51,165][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-24 16:09:06,857][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 16:09:06,857][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-24 16:13:22,415][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 16:13:22,415][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ CPU: 0.000921 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ GPU: 0.006402 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ RAM: 0.000009 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ total: 0.007333 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ CPU: 0.001019 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ GPU: 0.007070 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ total: 0.008099 (kWh)
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-24 16:13:22,416][energy][INFO] - 			+ CPU: 0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ GPU: 0.007115 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ total: 0.008149 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ CPU: 0.001023 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ GPU: 0.007115 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ total: 0.008149 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ CPU: 0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ GPU: 0.007114 (kWh)
+[PROC-0][2024-10-24 16:13:22,417][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ total: 0.008148 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ CPU: 0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ GPU: 0.007124 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ total: 0.008158 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ CPU: 0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ GPU: 0.007119 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ total: 0.008153 (kWh)
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-24 16:13:22,418][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ CPU: 0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ GPU: 0.007126 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ total: 0.008161 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ CPU: 0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ GPU: 0.007125 (kWh)
+[PROC-0][2024-10-24 16:13:22,419][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ total: 0.008160 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ CPU: 0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ GPU: 0.007115 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ RAM: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ total: 0.008150 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ CPU: 0.001796 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ GPU: 0.007306 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ RAM: 0.000018 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 			+ total: 0.009120 (kWh)
+[PROC-0][2024-10-24 16:13:22,420][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ CPU: 0.002001 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ GPU: 0.008228 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ total: 0.010249 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ CPU: 0.001995 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ GPU: 0.008114 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ total: 0.010130 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ CPU: 0.001997 (kWh)
+[PROC-0][2024-10-24 16:13:22,421][energy][INFO] - 			+ GPU: 0.008126 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ total: 0.010144 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ CPU: 0.001994 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ GPU: 0.008109 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ total: 0.010124 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ CPU: -0.001024 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ GPU: -0.007124 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ RAM: -0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,422][energy][INFO] - 			+ total: -0.008158 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ CPU: 0.001995 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ GPU: 0.008115 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ total: 0.010130 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ CPU: 0.003018 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ GPU: 0.015217 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ RAM: 0.000031 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ total: 0.018266 (kWh)
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-24 16:13:22,423][energy][INFO] - 			+ CPU: 0.001996 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ GPU: 0.008098 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ total: 0.010114 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ CPU: 0.001994 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ GPU: 0.008090 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ total: 0.010105 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ CPU: 0.001993 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ GPU: 0.008088 (kWh)
+[PROC-0][2024-10-24 16:13:22,424][energy][INFO] - 			+ RAM: 0.000020 (kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 			+ total: 0.010101 (kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 			+ CPU: 0.000010 (kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 			+ GPU: 0.000016 (kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 			+ total: 0.000027 (kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 		+ prefill energy efficiency: 41960978.223953 (tokens/kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 		+ decode energy efficiency: 986792.368806 (tokens/kWh)
+[PROC-0][2024-10-24 16:13:22,425][energy][INFO] - 		+ preprocess energy efficiency: 37376068.585049 (samples/kWh)
+[2024-10-24 16:13:23,134][datasets][INFO] - PyTorch version 2.4.0 available.

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "HuggingFaceTB/SmolLM-1.7B",
+        "processor": "HuggingFaceTB/SmolLM-1.7B",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/generate_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-24T16:13:22",
+    "project_name": "codecarbon",
+    "run_id": "09de8d70-881d-4fdb-8c44-21203f36a2d4",
+    "duration": -1729257239.6805792,
+    "emissions": 0.006737229935266403,
+    "emissions_rate": 2.6363137366527802e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 214.17631320777406,
+    "ram_power": 0.43403291702270513,
+    "cpu_energy": 0.0030169904464625377,
+    "gpu_energy": 0.01520362827400401,
+    "ram_energy": 3.081040342977774e-05,
+    "energy_consumed": 0.018251429123896296,
+    "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
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/prefill_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-24T15:30:45",
+    "project_name": "codecarbon",
+    "run_id": "09de8d70-881d-4fdb-8c44-21203f36a2d4",
+    "duration": -1729257408.4832995,
+    "emissions": 0.0030084869531586504,
+    "emissions_rate": 3.46790702566556e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 295.2757932025827,
+    "ram_power": 0.4339728355407715,
+    "cpu_energy": 0.001024180906675368,
+    "gpu_energy": 0.007115474581263825,
+    "ram_energy": 1.0457677757685137e-05,
+    "energy_consumed": 0.008150113165696887,
+    "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
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-1.7B/2024-10-24-15-16-02/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-24T15:16:16",
+    "project_name": "codecarbon",
+    "run_id": "09de8d70-881d-4fdb-8c44-21203f36a2d4",
+    "duration": -1729257494.353458,
+    "emissions": 9.87622272392776e-06,
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+    "gpu_power": 66.29090500161253,
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+    "energy_consumed": 2.6755087890651626e-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
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: HuggingFaceTB/SmolLM-135M
+  processor: HuggingFaceTB/SmolLM-135M
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ./runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=./runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
+    - hydra.mode=RUN
+    task:
+    - backend.model=HuggingFaceTB/SmolLM-135M
+    - backend.processor=HuggingFaceTB/SmolLM-135M
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=HuggingFaceTB/SmolLM-135M,backend.processor=HuggingFaceTB/SmolLM-135M
+    id: ???
+    num: ???
+    config_name: text_generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
+    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

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=HuggingFaceTB/SmolLM-135M
+- backend.processor=HuggingFaceTB/SmolLM-135M

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/benchmark_report.json

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

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/cli.log

@@ -0,0 +1,188 @@
+[2024-10-23 19:09:18,036][launcher][INFO] - ََAllocating process launcher
+[2024-10-23 19:09:18,036][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-23 19:09:18,048][process][INFO] - 	+ Launched benchmark in isolated process 200.
+[PROC-0][2024-10-23 19:09:20,588][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-23 19:09:21,586][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-23 19:09:21,586][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-23 19:09:22,362][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-23 19:09:22,362][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-23 19:09:22,363][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-23 19:09:22,363][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-23 19:09:22,632][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-23 19:09:22,639][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-23 19:09:22,639][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-23 19:09:23,925][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-23 19:09:23,925][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-23 19:09:23,925][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-23 19:09:28,124][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-23 19:09:29,033][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-23 19:09:30,243][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-23 19:09:30,452][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-23 19:09:30,452][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-23 19:09:56,997][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:09:56,997][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-23 19:10:23,590][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:10:23,590][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-23 19:10:50,351][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:10:50,352][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-23 19:11:17,042][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:11:17,043][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-23 19:11:43,675][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:11:43,676][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-23 19:12:10,324][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:12:10,324][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-23 19:12:36,878][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:12:36,878][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-23 19:13:03,366][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:13:03,367][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-23 19:13:29,522][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:13:29,523][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-23 19:13:56,027][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:13:56,027][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-23 19:17:31,345][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:17:31,345][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-23 19:21:09,741][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:21:09,741][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-23 19:24:46,291][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:24:46,292][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-23 19:28:21,991][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:28:21,991][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-23 19:31:58,797][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:31:58,797][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-23 19:35:35,503][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:35:35,503][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-23 19:39:11,542][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:39:11,543][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-23 19:42:49,828][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:42:49,829][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-23 19:46:26,323][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:46:26,323][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-23 19:50:03,687][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ CPU: 0.000282 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ GPU: 0.001120 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ total: 0.001405 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ CPU: 0.000313 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ GPU: 0.001229 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ total: 0.001545 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ CPU: 0.000314 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ GPU: 0.001236 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ total: 0.001553 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ CPU: 0.000316 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ GPU: 0.001239 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ total: 0.001558 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ CPU: 0.000315 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ GPU: 0.001248 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ total: 0.001566 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ CPU: 0.000314 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ GPU: 0.001258 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ total: 0.001576 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ CPU: 0.000315 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ GPU: 0.001257 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ total: 0.001574 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ CPU: 0.000313 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ GPU: 0.001258 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ total: 0.001574 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ CPU: 0.000309 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ GPU: 0.001247 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ total: 0.001559 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ CPU: 0.000313 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ GPU: 0.001233 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ total: 0.001549 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ CPU: 0.002021 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ GPU: 0.004045 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ RAM: 0.000021 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ total: 0.006086 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ CPU: 0.002229 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ GPU: 0.004436 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ total: 0.006687 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ CPU: 0.002264 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ GPU: 0.004506 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ total: 0.006794 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ CPU: 0.002241 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ GPU: 0.004481 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ total: 0.006744 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ CPU: 0.002231 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ GPU: 0.004430 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ total: 0.006684 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ CPU: -0.000314 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ GPU: -0.001258 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ RAM: -0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ total: -0.001576 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ CPU: 0.002244 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ GPU: 0.004528 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ total: 0.006795 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ CPU: 0.002550 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ GPU: 0.005766 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ RAM: 0.000026 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ total: 0.008342 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ CPU: 0.002264 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ GPU: 0.004557 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ total: 0.006844 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ CPU: 0.002247 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ GPU: 0.004534 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ total: 0.006804 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ CPU: 0.002253 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ GPU: 0.004470 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ total: 0.006746 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ CPU: 0.000011 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ GPU: 0.000018 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 			+ total: 0.000028 (kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 		+ prefill energy efficiency: 218923397.136495 (tokens/kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 		+ decode energy efficiency: 1478710.120569 (tokens/kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 		+ preprocess energy efficiency: 35187752.053421 (samples/kWh)
+[2024-10-23 19:50:04,393][datasets][INFO] - PyTorch version 2.4.0 available.

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "HuggingFaceTB/SmolLM-135M",
+        "processor": "HuggingFaceTB/SmolLM-135M",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/generate_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-23T19:50:03",
+    "project_name": "codecarbon",
+    "run_id": "05f83304-edf6-4273-b97d-e5de644eb411",
+    "duration": -1728779136.923329,
+    "emissions": 0.003061982417973605,
+    "emissions_rate": 1.4087063947890143e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 94.45086032614498,
+    "ram_power": 0.433685302734375,
+    "cpu_energy": 0.002566093344748919,
+    "gpu_energy": 0.005702756228869177,
+    "ram_energy": 2.6184975778222443e-05,
+    "energy_consumed": 0.008295034549396313,
+    "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
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/prefill_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-23T19:13:56",
+    "project_name": "codecarbon",
+    "run_id": "05f83304-edf6-4273-b97d-e5de644eb411",
+    "duration": -1728779327.7865484,
+    "emissions": 0.0005716562515463526,
+    "emissions_rate": 2.157349516334259e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 167.43685773439154,
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+    "country_name": "United States",
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+    "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
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-23T19:09:29",
+    "project_name": "codecarbon",
+    "run_id": "05f83304-edf6-4273-b97d-e5de644eb411",
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+    "emissions": 1.0490422273361802e-05,
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+    "gpu_power": 70.04019833296246,
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+    "energy_consumed": 2.841897937901319e-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",
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+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
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+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: HuggingFaceTB/SmolLM-360M
+  processor: HuggingFaceTB/SmolLM-360M
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ./runs/text_generation/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=./runs/text_generation/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22
+    - hydra.mode=RUN
+    task:
+    - backend.model=HuggingFaceTB/SmolLM-360M
+    - backend.processor=HuggingFaceTB/SmolLM-360M
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=HuggingFaceTB/SmolLM-360M,backend.processor=HuggingFaceTB/SmolLM-360M
+    id: ???
+    num: ???
+    config_name: text_generation
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /runs/text_generation/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22
+    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

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=HuggingFaceTB/SmolLM-360M
+- backend.processor=HuggingFaceTB/SmolLM-360M

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/benchmark_report.json

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

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/cli.log

@@ -0,0 +1,188 @@
+[2024-10-24 14:22:25,779][launcher][INFO] - ََAllocating process launcher
+[2024-10-24 14:22:25,779][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-24 14:22:25,789][process][INFO] - 	+ Launched benchmark in isolated process 180.
+[PROC-0][2024-10-24 14:22:28,309][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-24 14:22:29,215][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-24 14:22:29,216][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-24 14:22:30,119][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-24 14:22:30,120][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-24 14:22:30,120][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-24 14:22:30,120][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-24 14:22:30,120][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-24 14:22:30,120][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-24 14:22:30,141][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-24 14:22:30,141][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-24 14:22:30,142][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-24 14:22:30,142][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-24 14:22:30,414][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-24 14:22:30,421][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-24 14:22:30,421][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-24 14:22:31,588][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-24 14:22:31,588][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-24 14:22:31,588][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-24 14:22:35,800][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-24 14:22:36,690][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-24 14:22:36,691][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-24 14:22:36,691][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-24 14:22:36,691][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-24 14:22:37,946][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-24 14:22:38,177][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-24 14:22:38,177][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-24 14:23:14,127][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:23:14,127][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-24 14:23:50,361][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:23:50,361][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-24 14:24:26,524][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:24:26,524][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-24 14:25:02,634][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:25:02,635][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-24 14:25:38,809][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:25:38,810][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-24 14:26:15,041][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:26:15,041][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-24 14:26:51,222][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:26:51,222][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-24 14:27:27,416][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:27:27,416][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-24 14:28:03,615][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:28:03,616][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-24 14:28:39,784][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-24 14:28:39,784][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-24 14:32:39,130][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 14:32:39,130][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-24 14:36:38,599][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 14:36:38,600][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-24 14:40:37,989][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 14:40:37,989][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-24 14:44:37,142][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 14:44:37,142][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-24 14:48:36,023][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 14:48:36,024][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-24 14:52:34,455][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 14:52:34,455][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-24 14:56:33,824][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 14:56:33,825][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-24 15:00:33,535][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:00:33,536][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-24 15:04:33,145][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:04:33,145][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-24 15:08:31,670][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-24 15:08:31,671][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-24 15:08:31,671][energy][INFO] - 			+ CPU: 0.000384 (kWh)
+[PROC-0][2024-10-24 15:08:31,671][energy][INFO] - 			+ GPU: 0.002084 (kWh)
+[PROC-0][2024-10-24 15:08:31,671][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ total: 0.002472 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ CPU: 0.000424 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ GPU: 0.002283 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ total: 0.002712 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ CPU: 0.000428 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ GPU: 0.002320 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,672][energy][INFO] - 			+ total: 0.002752 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ CPU: 0.000427 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ GPU: 0.002307 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ total: 0.002738 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ CPU: 0.000426 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ GPU: 0.002314 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ total: 0.002744 (kWh)
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-24 15:08:31,673][energy][INFO] - 			+ CPU: 0.000427 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ GPU: 0.002321 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ total: 0.002752 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ CPU: 0.000428 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ GPU: 0.002323 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ total: 0.002755 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-24 15:08:31,674][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ CPU: 0.000427 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ GPU: 0.002325 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ total: 0.002756 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ CPU: 0.000427 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ GPU: 0.002326 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 			+ total: 0.002757 (kWh)
+[PROC-0][2024-10-24 15:08:31,675][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ CPU: 0.000427 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ GPU: 0.002319 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ RAM: 0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ total: 0.002751 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ CPU: 0.002158 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ GPU: 0.004664 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ RAM: 0.000022 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ total: 0.006843 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ CPU: 0.002401 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ GPU: 0.005294 (kWh)
+[PROC-0][2024-10-24 15:08:31,676][energy][INFO] - 			+ RAM: 0.000024 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ total: 0.007719 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ CPU: 0.002399 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ GPU: 0.005170 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ RAM: 0.000024 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ total: 0.007594 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ CPU: 0.002399 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ GPU: 0.005181 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ RAM: 0.000024 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 			+ total: 0.007605 (kWh)
+[PROC-0][2024-10-24 15:08:31,677][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ CPU: 0.002397 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ GPU: 0.005158 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ RAM: 0.000024 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ total: 0.007579 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ CPU: -0.000427 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ GPU: -0.002321 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ RAM: -0.000004 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ total: -0.002752 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ CPU: 0.002387 (kWh)
+[PROC-0][2024-10-24 15:08:31,678][energy][INFO] - 			+ GPU: 0.005154 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ RAM: 0.000024 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ total: 0.007566 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ CPU: 0.002826 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ GPU: 0.007497 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ RAM: 0.000029 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ total: 0.010351 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ CPU: 0.002403 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ GPU: 0.005181 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ RAM: 0.000025 (kWh)
+[PROC-0][2024-10-24 15:08:31,679][energy][INFO] - 			+ total: 0.007608 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ CPU: 0.002401 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ GPU: 0.005174 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ RAM: 0.000024 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ total: 0.007600 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ CPU: 0.002389 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ GPU: 0.005151 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ RAM: 0.000024 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ total: 0.007564 (kWh)
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-24 15:08:31,680][energy][INFO] - 			+ CPU: 0.000011 (kWh)
+[PROC-0][2024-10-24 15:08:31,681][energy][INFO] - 			+ GPU: 0.000017 (kWh)
+[PROC-0][2024-10-24 15:08:31,681][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-24 15:08:31,681][energy][INFO] - 			+ total: 0.000027 (kWh)
+[PROC-0][2024-10-24 15:08:31,681][energy][INFO] - 		+ prefill energy efficiency: 124481811.635465 (tokens/kWh)
+[PROC-0][2024-10-24 15:08:31,681][energy][INFO] - 		+ decode energy efficiency: 1315130.308156 (tokens/kWh)
+[PROC-0][2024-10-24 15:08:31,681][energy][INFO] - 		+ preprocess energy efficiency: 36616831.974803 (samples/kWh)
+[2024-10-24 15:08:32,387][datasets][INFO] - PyTorch version 2.4.0 available.

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "HuggingFaceTB/SmolLM-360M",
+        "processor": "HuggingFaceTB/SmolLM-360M",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/generate_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-24T15:08:31",
+    "project_name": "codecarbon",
+    "run_id": "acdaf5b9-c8a0-438e-95f7-e1c02c020a0d",
+    "duration": -1729710332.8090625,
+    "emissions": 0.0038076148714655256,
+    "emissions_rate": 1.5963324039613928e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 112.74933364951919,
+    "ram_power": 0.4335465431213379,
+    "cpu_energy": 0.0028159153997137955,
+    "gpu_energy": 0.007470342642936112,
+    "ram_energy": 2.8725062479746048e-05,
+    "energy_consumed": 0.010314983105129655,
+    "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
+}

runs/text_generation/a10g-large/HuggingFaceTB/SmolLM-360M/2024-10-24-14-22-22/prefill_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-24T14:28:39",
+    "project_name": "codecarbon",
+    "run_id": "acdaf5b9-c8a0-438e-95f7-e1c02c020a0d",
+    "duration": -1729710535.1662798,
+    "emissions": 0.001015405954926966,
+    "emissions_rate": 2.8076700900487555e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 230.88594610407003,
+    "ram_power": 0.43345069885253906,
+    "cpu_energy": 0.00042697586572922833,
+    "gpu_energy": 0.002319445744444093,
+    "ram_energy": 4.35430164792082e-06,
+    "energy_consumed": 0.0027507759118212405,
+    "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
+}