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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: lvwerra/distilbert-imdb
+  processor: lvwerra/distilbert-imdb
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs: {}
+  call_kwargs: {}
+experiment_name: text_classification
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/hydra.yaml

@@ -0,0 +1,173 @@
+hydra:
+  run:
+    dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    - hydra.mode=RUN
+    task: []
+  job:
+    name: cli
+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39
+    choices:
+      benchmark: energy_star
+      launcher: process
+      backend: pytorch
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/benchmark_report.json

@@ -0,0 +1,107 @@
+{
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+        "efficiency": {
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+        },
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+            {
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+                "gpu": 0.00018486348122337404,
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+            {
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+            {
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+            "total": 1.2589729527793902e-05
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+        "efficiency": {
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+            "value": 79429823.95232044
+        },
+        "measures": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/cli.log

@@ -0,0 +1,113 @@
+[2024-10-01 19:02:39,712][launcher][INFO] - ََAllocating process launcher
+[2024-10-01 19:02:39,712][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-01 19:02:39,725][device-isolation][INFO] - 	+ Launched device(s) isolation process 66
+[2024-10-01 19:02:39,726][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-01 19:02:39,732][process][INFO] - 	+ Launched benchmark in isolated process 67.
+[PROC-0][2024-10-01 19:02:42,331][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-01 19:02:43,278][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-01 19:02:43,278][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-01 19:02:43,590][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-01 19:02:43,591][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-01 19:02:43,593][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-01 19:02:43,594][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-01 19:02:43,595][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-01 19:02:43,595][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-01 19:02:43,896][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-01 19:02:43,902][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-01 19:02:43,902][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-01 19:02:44,447][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-01 19:02:44,448][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-01 19:02:48,663][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-01 19:02:49,098][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-01 19:02:49,100][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-01 19:02:49,663][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-01 19:02:49,663][energy_star][INFO] - 	+ Iteration 1/10
+[PROC-0][2024-10-01 19:02:53,729][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:02:53,731][energy_star][INFO] - 	+ Iteration 2/10
+[PROC-0][2024-10-01 19:02:57,781][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:02:57,784][energy_star][INFO] - 	+ Iteration 3/10
+[PROC-0][2024-10-01 19:03:01,819][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:01,821][energy_star][INFO] - 	+ Iteration 4/10
+[PROC-0][2024-10-01 19:03:05,936][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:05,938][energy_star][INFO] - 	+ Iteration 5/10
+[PROC-0][2024-10-01 19:03:10,054][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:10,057][energy_star][INFO] - 	+ Iteration 6/10
+[PROC-0][2024-10-01 19:03:14,093][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:14,095][energy_star][INFO] - 	+ Iteration 7/10
+[PROC-0][2024-10-01 19:03:18,137][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:18,139][energy_star][INFO] - 	+ Iteration 8/10
+[PROC-0][2024-10-01 19:03:22,181][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:22,183][energy_star][INFO] - 	+ Iteration 9/10
+[PROC-0][2024-10-01 19:03:26,190][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:26,192][energy_star][INFO] - 	+ Iteration 10/10
+[PROC-0][2024-10-01 19:03:30,198][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:03:30,200][energy][INFO] - 		+ forward energy consumption:
+[PROC-0][2024-10-01 19:03:30,200][energy][INFO] - 			+ CPU: 0.000043 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ GPU: 0.000167 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ total: 0.000210 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 		+ forward_iteration_1 energy consumption:
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ GPU: 0.000184 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ total: 0.000233 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 		+ forward_iteration_2 energy consumption:
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:03:30,201][energy][INFO] - 			+ GPU: 0.000181 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ total: 0.000230 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 		+ forward_iteration_3 energy consumption:
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ GPU: 0.000187 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ total: 0.000235 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 		+ forward_iteration_4 energy consumption:
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ CPU: 0.000049 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 			+ total: 0.000235 (kWh)
+[PROC-0][2024-10-01 19:03:30,202][energy][INFO] - 		+ forward_iteration_5 energy consumption:
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ CPU: 0.000049 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ GPU: 0.000187 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 		+ forward_iteration_6 energy consumption:
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ GPU: 0.000185 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ total: 0.000233 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 		+ forward_iteration_7 energy consumption:
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,203][energy][INFO] - 			+ GPU: 0.000000 (kWh)
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+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 		+ forward_iteration_8 energy consumption:
+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 			+ GPU: 0.000186 (kWh)
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+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 		+ forward_iteration_9 energy consumption:
+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 			+ GPU: 0.000188 (kWh)
+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,204][energy][INFO] - 			+ total: 0.000235 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 		+ forward_iteration_10 energy consumption:
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ CPU: 0.000005 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ GPU: 0.000007 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:03:30,205][energy][INFO] - 			+ total: 0.000013 (kWh)
+[PROC-0][2024-10-01 19:03:30,206][energy][INFO] - 		+ forward energy efficiency: 4753317.121386 (samples/kWh)
+[PROC-0][2024-10-01 19:03:30,206][energy][INFO] - 		+ preprocess energy efficiency: 79429823.952320 (samples/kWh)
+[2024-10-01 19:03:30,837][device-isolation][INFO] - 	+ Closing device(s) isolation process...
+[2024-10-01 19:03:30,891][datasets][INFO] - PyTorch version 2.4.0 available.

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "lvwerra/distilbert-imdb",
+        "processor": "lvwerra/distilbert-imdb",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {},
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/forward_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:03:30",
+    "project_name": "codecarbon",
+    "run_id": "87c20af8-09ee-4935-b57c-c55ba981f72f",
+    "duration": -1726624715.2796082,
+    "emissions": 8.632960488643251e-05,
+    "emissions_rate": 2.1573364543800052e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 167.54585718780086,
+    "ram_power": 0.3451881408691406,
+    "cpu_energy": 4.726442728375936e-05,
+    "gpu_energy": 0.00018622237120169416,
+    "ram_energy": 3.836022605458718e-07,
+    "energy_consumed": 0.0002338704007459995,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-02-39/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:02:49",
+    "project_name": "codecarbon",
+    "run_id": "87c20af8-09ee-4935-b57c-c55ba981f72f",
+    "duration": -1726624718.8521838,
+    "emissions": 4.647301977054882e-06,
+    "emissions_rate": 1.0827489819885996e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 62.65163325440906,
+    "ram_power": 0.27443647384643555,
+    "cpu_energy": 5.090969423731116e-06,
+    "gpu_energy": 7.466117082799428e-06,
+    "ram_energy": 3.264302126335614e-08,
+    "energy_consumed": 1.2589729527793902e-05,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: lvwerra/distilbert-imdb
+  processor: lvwerra/distilbert-imdb
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs: {}
+  call_kwargs: {}
+experiment_name: text_classification
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/hydra.yaml

@@ -0,0 +1,173 @@
+hydra:
+  run:
+    dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    - hydra.mode=RUN
+    task: []
+  job:
+    name: cli
+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36
+    choices:
+      benchmark: energy_star
+      launcher: process
+      backend: pytorch
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/cli.log

@@ -0,0 +1,28 @@
+[2024-10-01 19:03:36,282][launcher][INFO] - ََAllocating process launcher
+[2024-10-01 19:03:36,282][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-01 19:03:36,295][device-isolation][INFO] - 	+ Launched device(s) isolation process 66
+[2024-10-01 19:03:36,296][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-01 19:03:36,302][process][INFO] - 	+ Launched benchmark in isolated process 67.
+[PROC-0][2024-10-01 19:03:38,922][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-01 19:03:39,859][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-01 19:03:39,859][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-01 19:03:40,168][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-01 19:03:40,168][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-01 19:03:40,168][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-01 19:03:40,169][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-01 19:03:40,169][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-01 19:03:40,169][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-01 19:03:40,171][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-01 19:03:40,171][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-01 19:03:40,172][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-01 19:03:40,172][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-01 19:03:40,425][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-01 19:03:40,431][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-01 19:03:40,432][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-01 19:03:41,213][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-01 19:03:41,214][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-01 19:03:45,415][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-01 19:03:45,847][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-01 19:03:45,849][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-01 19:03:45,849][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-01 19:03:45,849][energy_star][INFO] - 	+ Warming up backend for Inference

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "lvwerra/distilbert-imdb",
+        "processor": "lvwerra/distilbert-imdb",
+        "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,
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+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
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+        "torch_compile": false,
+        "torch_compile_config": {},
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+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
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+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
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+        "peft_commit": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-03-36/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
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+    "project_name": "codecarbon",
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+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/config.yaml

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

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/hydra.yaml

@@ -0,0 +1,173 @@
+hydra:
+  run:
+    dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
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+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
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+        stream: ext://sys.stdout
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+          - %(message)s'
+        log_colors:
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+          ERROR: red
+          CRITICAL: red
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+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
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+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    - hydra.mode=RUN
+    task: []
+  job:
+    name: cli
+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
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+  runtime:
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+    config_sources:
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+      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: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43
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+      launcher: process
+      backend: pytorch
+      hydra/env: default
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+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/.hydra/overrides.yaml

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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/benchmark_report.json

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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/cli.log

@@ -0,0 +1,113 @@
+[2024-10-01 19:10:43,629][launcher][INFO] - ََAllocating process launcher
+[2024-10-01 19:10:43,630][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-01 19:10:43,640][device-isolation][INFO] - 	+ Launched device(s) isolation process 66
+[2024-10-01 19:10:43,640][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-01 19:10:43,646][process][INFO] - 	+ Launched benchmark in isolated process 67.
+[PROC-0][2024-10-01 19:10:46,225][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-01 19:10:47,152][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-01 19:10:47,152][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-01 19:10:47,446][pytorch][INFO] - 	+ Creating backend temporary directory
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+[PROC-0][2024-10-01 19:10:47,447][pytorch][INFO] - 	+ Creating no weights model directory
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+[PROC-0][2024-10-01 19:10:47,449][pytorch][INFO] - 	+ Saving no weights model safetensors
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+[PROC-0][2024-10-01 19:10:47,709][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-01 19:10:47,715][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-01 19:10:47,716][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-01 19:10:48,367][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-01 19:10:48,368][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-01 19:10:52,549][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-01 19:10:52,979][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-01 19:10:52,982][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-01 19:10:52,982][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-01 19:10:52,982][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-01 19:10:53,580][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-01 19:10:53,580][energy_star][INFO] - 	+ Iteration 1/10
+[PROC-0][2024-10-01 19:10:57,604][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:10:57,607][energy_star][INFO] - 	+ Iteration 2/10
+[PROC-0][2024-10-01 19:11:01,606][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:01,609][energy_star][INFO] - 	+ Iteration 3/10
+[PROC-0][2024-10-01 19:11:05,612][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:05,615][energy_star][INFO] - 	+ Iteration 4/10
+[PROC-0][2024-10-01 19:11:09,588][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:09,591][energy_star][INFO] - 	+ Iteration 5/10
+[PROC-0][2024-10-01 19:11:13,567][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:13,569][energy_star][INFO] - 	+ Iteration 6/10
+[PROC-0][2024-10-01 19:11:17,565][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:17,568][energy_star][INFO] - 	+ Iteration 7/10
+[PROC-0][2024-10-01 19:11:21,531][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:21,534][energy_star][INFO] - 	+ Iteration 8/10
+[PROC-0][2024-10-01 19:11:25,538][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:25,540][energy_star][INFO] - 	+ Iteration 9/10
+[PROC-0][2024-10-01 19:11:29,469][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:29,472][energy_star][INFO] - 	+ Iteration 10/10
+[PROC-0][2024-10-01 19:11:33,433][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - 		+ forward energy consumption:
+[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - 			+ CPU: 0.000042 (kWh)
+[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - 			+ GPU: 0.000169 (kWh)
+[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,436][energy][INFO] - 			+ total: 0.000212 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 		+ forward_iteration_1 energy consumption:
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ GPU: 0.000182 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ total: 0.000230 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 		+ forward_iteration_2 energy consumption:
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ GPU: 0.000185 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ total: 0.000233 (kWh)
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 		+ forward_iteration_3 energy consumption:
+[PROC-0][2024-10-01 19:11:33,437][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ GPU: 0.000185 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ total: 0.000233 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 		+ forward_iteration_4 energy consumption:
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ GPU: 0.000188 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ total: 0.000235 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 		+ forward_iteration_5 energy consumption:
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ GPU: 0.000188 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,438][energy][INFO] - 			+ total: 0.000235 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 		+ forward_iteration_6 energy consumption:
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ GPU: 0.000191 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ total: 0.000238 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 		+ forward_iteration_7 energy consumption:
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 		+ forward_iteration_8 energy consumption:
+[PROC-0][2024-10-01 19:11:33,439][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ GPU: 0.000191 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ total: 0.000239 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 		+ forward_iteration_9 energy consumption:
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ CPU: 0.000046 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ GPU: 0.000189 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 		+ forward_iteration_10 energy consumption:
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ GPU: 0.000193 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,440][energy][INFO] - 			+ total: 0.000241 (kWh)
+[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - 			+ CPU: 0.000005 (kWh)
+[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - 			+ GPU: 0.000008 (kWh)
+[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - 			+ total: 0.000013 (kWh)
+[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - 		+ forward energy efficiency: 4719497.649372 (samples/kWh)
+[PROC-0][2024-10-01 19:11:33,441][energy][INFO] - 		+ preprocess energy efficiency: 78583730.242303 (samples/kWh)
+[2024-10-01 19:11:34,040][device-isolation][INFO] - 	+ Closing device(s) isolation process...
+[2024-10-01 19:11:34,093][datasets][INFO] - PyTorch version 2.4.0 available.

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "lvwerra/distilbert-imdb",
+        "processor": "lvwerra/distilbert-imdb",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {},
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/forward_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:11:33",
+    "project_name": "codecarbon",
+    "run_id": "c8fcecc8-7a1e-4547-8a77-8af5c2b8f80e",
+    "duration": -1727489511.32649,
+    "emissions": 8.877694569508002e-05,
+    "emissions_rate": 2.246503756843967e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 176.03588127710825,
+    "ram_power": 0.34502363204956055,
+    "cpu_energy": 4.6719806559687824e-05,
+    "gpu_energy": 0.00019340154361024986,
+    "ram_energy": 3.789960789208947e-07,
+    "energy_consumed": 0.0002405003462488584,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-10-43/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:10:52",
+    "project_name": "codecarbon",
+    "run_id": "c8fcecc8-7a1e-4547-8a77-8af5c2b8f80e",
+    "duration": -1727489514.8535163,
+    "emissions": 4.697338453552163e-06,
+    "emissions_rate": 1.105667657056027e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 64.89345926326264,
+    "ram_power": 0.27426910400390625,
+    "cpu_energy": 5.039374399186475e-06,
+    "gpu_energy": 7.653617234204546e-06,
+    "ram_energy": 3.228873847000398e-08,
+    "energy_consumed": 1.2725280371861023e-05,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: lvwerra/distilbert-imdb
+  processor: lvwerra/distilbert-imdb
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs: {}
+  call_kwargs: {}
+experiment_name: text_classification
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/hydra.yaml

@@ -0,0 +1,173 @@
+hydra:
+  run:
+    dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    - hydra.mode=RUN
+    task: []
+  job:
+    name: cli
+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38
+    choices:
+      benchmark: energy_star
+      launcher: process
+      backend: pytorch
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/cli.log

@@ -0,0 +1,30 @@
+[2024-10-01 19:11:38,705][launcher][INFO] - ََAllocating process launcher
+[2024-10-01 19:11:38,706][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-01 19:11:38,718][device-isolation][INFO] - 	+ Launched device(s) isolation process 66
+[2024-10-01 19:11:38,718][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-01 19:11:38,725][process][INFO] - 	+ Launched benchmark in isolated process 67.
+[PROC-0][2024-10-01 19:11:41,368][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-01 19:11:42,337][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-01 19:11:42,338][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-01 19:11:42,663][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-01 19:11:42,665][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-01 19:11:42,666][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-01 19:11:42,667][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-01 19:11:42,667][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-01 19:11:42,919][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-01 19:11:42,925][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-01 19:11:42,925][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-01 19:11:43,473][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-01 19:11:43,473][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-01 19:11:47,649][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-01 19:11:48,079][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-01 19:11:48,082][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-01 19:11:48,082][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-01 19:11:48,082][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-01 19:11:48,570][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-01 19:11:48,570][energy_star][INFO] - 	+ Iteration 1/10

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
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+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "lvwerra/distilbert-imdb",
+        "processor": "lvwerra/distilbert-imdb",
+        "library": "transformers",
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+            "trust_remote_code": true
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+        "start_method": "spawn"
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+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "dataset_config": "",
+        "dataset_split": "train",
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+        "dataset_prefix2": "",
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+        "image_column_name": "image",
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+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
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+        "peft_version": null,
+        "peft_commit": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-11-38/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
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+    "project_name": "codecarbon",
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+    "gpu_count": 1,
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+    "tracking_mode": "process",
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+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: lvwerra/distilbert-imdb
+  processor: lvwerra/distilbert-imdb
+  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
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+  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:
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+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
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+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs: {}
+  call_kwargs: {}
+experiment_name: text_classification
+environment:
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+  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:
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+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/hydra.yaml

@@ -0,0 +1,173 @@
+hydra:
+  run:
+    dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
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+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
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+      handlers:
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+  job_logging:
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+      colorlog:
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+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
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+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
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+        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:
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+    - hydra.mode=RUN
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+  job:
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+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
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+    env_copy: []
+    config:
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+      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: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35
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+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/.hydra/overrides.yaml

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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/benchmark_report.json

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text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/cli.log

@@ -0,0 +1,113 @@
+[2024-10-01 19:17:35,237][launcher][INFO] - ََAllocating process launcher
+[2024-10-01 19:17:35,237][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-01 19:17:35,269][device-isolation][INFO] - 	+ Launched device(s) isolation process 66
+[2024-10-01 19:17:35,270][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-01 19:17:35,277][process][INFO] - 	+ Launched benchmark in isolated process 67.
+[PROC-0][2024-10-01 19:17:37,871][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-01 19:17:38,845][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-01 19:17:38,846][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-01 19:17:39,114][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-01 19:17:39,115][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-01 19:17:39,117][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-01 19:17:39,117][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-01 19:17:39,118][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-01 19:17:39,118][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-01 19:17:39,380][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-01 19:17:39,386][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-01 19:17:39,387][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-01 19:17:40,056][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-01 19:17:40,056][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-01 19:17:44,248][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-01 19:17:44,676][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-01 19:17:44,679][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-01 19:17:44,679][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-01 19:17:44,680][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-01 19:17:45,201][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-01 19:17:45,201][energy_star][INFO] - 	+ Iteration 1/10
+[PROC-0][2024-10-01 19:17:49,243][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:17:49,246][energy_star][INFO] - 	+ Iteration 2/10
+[PROC-0][2024-10-01 19:17:53,228][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:17:53,233][energy_star][INFO] - 	+ Iteration 3/10
+[PROC-0][2024-10-01 19:17:57,193][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:17:57,196][energy_star][INFO] - 	+ Iteration 4/10
+[PROC-0][2024-10-01 19:18:01,160][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:18:01,163][energy_star][INFO] - 	+ Iteration 5/10
+[PROC-0][2024-10-01 19:18:05,124][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:18:05,127][energy_star][INFO] - 	+ Iteration 6/10
+[PROC-0][2024-10-01 19:18:09,169][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:18:09,172][energy_star][INFO] - 	+ Iteration 7/10
+[PROC-0][2024-10-01 19:18:13,182][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:18:13,185][energy_star][INFO] - 	+ Iteration 8/10
+[PROC-0][2024-10-01 19:18:17,240][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:18:17,243][energy_star][INFO] - 	+ Iteration 9/10
+[PROC-0][2024-10-01 19:18:21,315][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:18:21,319][energy_star][INFO] - 	+ Iteration 10/10
+[PROC-0][2024-10-01 19:18:25,364][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - 		+ forward energy consumption:
+[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - 			+ CPU: 0.000043 (kWh)
+[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - 			+ GPU: 0.000166 (kWh)
+[PROC-0][2024-10-01 19:18:25,367][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 			+ total: 0.000209 (kWh)
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 		+ forward_iteration_1 energy consumption:
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 			+ GPU: 0.000182 (kWh)
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 			+ total: 0.000230 (kWh)
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 		+ forward_iteration_2 energy consumption:
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:18:25,368][energy][INFO] - 			+ GPU: 0.000182 (kWh)
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 			+ total: 0.000230 (kWh)
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 		+ forward_iteration_3 energy consumption:
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 			+ GPU: 0.000178 (kWh)
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 			+ total: 0.000225 (kWh)
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 		+ forward_iteration_4 energy consumption:
+[PROC-0][2024-10-01 19:18:25,369][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ GPU: 0.000183 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ total: 0.000230 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 		+ forward_iteration_5 energy consumption:
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ GPU: 0.000188 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ total: 0.000235 (kWh)
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 		+ forward_iteration_6 energy consumption:
+[PROC-0][2024-10-01 19:18:25,370][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ GPU: 0.000185 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ total: 0.000233 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 		+ forward_iteration_7 energy consumption:
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 		+ forward_iteration_8 energy consumption:
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:18:25,371][energy][INFO] - 			+ GPU: 0.000191 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ total: 0.000240 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 		+ forward_iteration_9 energy consumption:
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ GPU: 0.000190 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ total: 0.000238 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 		+ forward_iteration_10 energy consumption:
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-01 19:18:25,372][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 			+ CPU: 0.000005 (kWh)
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 			+ GPU: 0.000007 (kWh)
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 			+ total: 0.000012 (kWh)
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 		+ forward energy efficiency: 4775987.632850 (samples/kWh)
+[PROC-0][2024-10-01 19:18:25,373][energy][INFO] - 		+ preprocess energy efficiency: 80040377.995914 (samples/kWh)
+[2024-10-01 19:18:26,002][device-isolation][INFO] - 	+ Closing device(s) isolation process...
+[2024-10-01 19:18:26,056][datasets][INFO] - PyTorch version 2.4.0 available.

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "lvwerra/distilbert-imdb",
+        "processor": "lvwerra/distilbert-imdb",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {},
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/forward_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:18:25",
+    "project_name": "codecarbon",
+    "run_id": "a6f42b22-00c0-4a36-9d59-397582f53253",
+    "duration": -1727580654.2330382,
+    "emissions": 8.637172600261395e-05,
+    "emissions_rate": 2.13816591502115e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 165.67962005758133,
+    "ram_power": 0.34543418884277344,
+    "cpu_energy": 4.771103571246286e-05,
+    "gpu_energy": 0.00018588598204205553,
+    "ram_energy": 3.8749080344422673e-07,
+    "energy_consumed": 0.00023398450855796225,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-17-35/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:17:44",
+    "project_name": "codecarbon",
+    "run_id": "a6f42b22-00c0-4a36-9d59-397582f53253",
+    "duration": -1727580657.850911,
+    "emissions": 4.611852006865629e-06,
+    "emissions_rate": 1.093499566834929e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 63.710496193228956,
+    "ram_power": 0.2747640609741211,
+    "cpu_energy": 5.0026916104090765e-06,
+    "gpu_energy": 7.458894855982834e-06,
+    "ram_energy": 3.210765448103274e-08,
+    "energy_consumed": 1.2493694120872942e-05,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
+    "cloud_provider": "",
+    "cloud_region": "",
+    "os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+    "python_version": "3.9.20",
+    "codecarbon_version": "2.5.1",
+    "cpu_count": 48,
+    "cpu_model": "AMD EPYC 7R32",
+    "gpu_count": 1,
+    "gpu_model": "1 x NVIDIA A10G",
+    "longitude": -77.4903,
+    "latitude": 39.0469,
+    "ram_total_size": 186.7047882080078,
+    "tracking_mode": "process",
+    "on_cloud": "N",
+    "pue": 1.0
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: lvwerra/distilbert-imdb
+  processor: lvwerra/distilbert-imdb
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs: {}
+  call_kwargs: {}
+experiment_name: text_classification
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/hydra.yaml

@@ -0,0 +1,173 @@
+hydra:
+  run:
+    dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=/data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    - hydra.mode=RUN
+    task: []
+  job:
+    name: cli
+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30
+    choices:
+      benchmark: energy_star
+      launcher: process
+      backend: pytorch
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/.hydra/overrides.yaml

@@ -0,0 +1 @@
+[]

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/cli.log

@@ -0,0 +1,24 @@
+[2024-10-01 19:18:30,814][launcher][INFO] - ََAllocating process launcher
+[2024-10-01 19:18:30,815][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-01 19:18:30,826][device-isolation][INFO] - 	+ Launched device(s) isolation process 66
+[2024-10-01 19:18:30,826][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-01 19:18:30,833][process][INFO] - 	+ Launched benchmark in isolated process 67.
+[PROC-0][2024-10-01 19:18:33,466][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-01 19:18:34,452][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-01 19:18:34,452][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-01 19:18:35,428][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-01 19:18:35,428][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-01 19:18:35,429][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-01 19:18:35,431][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-01 19:18:35,432][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-01 19:18:35,433][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-01 19:18:35,433][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-01 19:18:35,717][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-01 19:18:35,723][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-01 19:18:35,723][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-01 19:18:36,671][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-01 19:18:36,672][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-01 19:18:40,851][energy_star][INFO] - 	+ Preprocessing dataset

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-18-30/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "lvwerra/distilbert-imdb",
+        "processor": "lvwerra/distilbert-imdb",
+        "library": "transformers",
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+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
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+        "dataset_split": "train",
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+        "t5_task": "",
+        "image_column_name": "image",
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+        "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,
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+    "environment": {
+        "cpu": " AMD EPYC 7R32",
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+        "system": "Linux",
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+        "processor": "x86_64",
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+        "peft_version": null,
+        "peft_commit": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: lvwerra/distilbert-imdb
+  processor: lvwerra/distilbert-imdb
+  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
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+  torch_compile: false
+  torch_compile_config: {}
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+  quantization_config: {}
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+  deepspeed_inference_config: {}
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+  peft_config: {}
+launcher:
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+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs: {}
+  call_kwargs: {}
+experiment_name: text_classification
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
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+  transformers_commit: null
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+  accelerate_commit: null
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+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/hydra.yaml

@@ -0,0 +1,173 @@
+hydra:
+  run:
+    dir: /data/runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
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+    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:
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+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
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+        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:
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+    - hydra.mode=RUN
+    task: []
+  job:
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+    chdir: true
+    override_dirname: ''
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
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+    env_copy: []
+    config:
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+  runtime:
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+    version_base: '1.3'
+    cwd: /
+    config_sources:
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+      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: /data/runs/text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19
+    choices:
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+      launcher: process
+      backend: pytorch
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/.hydra/overrides.yaml

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+[]

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/benchmark_report.json

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+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/cli.log

@@ -0,0 +1,113 @@
+[2024-10-01 19:21:19,583][launcher][INFO] - ََAllocating process launcher
+[2024-10-01 19:21:19,583][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-01 19:21:19,594][device-isolation][INFO] - 	+ Launched device(s) isolation process 66
+[2024-10-01 19:21:19,595][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-01 19:21:19,602][process][INFO] - 	+ Launched benchmark in isolated process 67.
+[PROC-0][2024-10-01 19:21:22,226][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-01 19:21:23,166][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-01 19:21:23,166][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-01 19:21:24,202][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-01 19:21:24,203][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-01 19:21:24,205][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-01 19:21:24,205][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-01 19:21:24,206][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-01 19:21:24,206][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-01 19:21:24,479][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-01 19:21:24,485][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-01 19:21:24,485][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-01 19:21:25,223][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-01 19:21:25,223][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-01 19:21:29,422][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-01 19:21:29,850][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-01 19:21:29,853][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-01 19:21:29,853][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-01 19:21:29,854][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-01 19:21:30,349][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-01 19:21:30,349][energy_star][INFO] - 	+ Iteration 1/10
+[PROC-0][2024-10-01 19:21:34,378][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:21:34,380][energy_star][INFO] - 	+ Iteration 2/10
+[PROC-0][2024-10-01 19:21:38,397][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:21:38,401][energy_star][INFO] - 	+ Iteration 3/10
+[PROC-0][2024-10-01 19:21:42,418][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:21:42,421][energy_star][INFO] - 	+ Iteration 4/10
+[PROC-0][2024-10-01 19:21:46,404][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:21:46,407][energy_star][INFO] - 	+ Iteration 5/10
+[PROC-0][2024-10-01 19:21:50,445][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:21:50,448][energy_star][INFO] - 	+ Iteration 6/10
+[PROC-0][2024-10-01 19:21:54,425][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:21:54,427][energy_star][INFO] - 	+ Iteration 7/10
+[PROC-0][2024-10-01 19:21:58,411][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:21:58,414][energy_star][INFO] - 	+ Iteration 8/10
+[PROC-0][2024-10-01 19:22:02,438][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:22:02,442][energy_star][INFO] - 	+ Iteration 9/10
+[PROC-0][2024-10-01 19:22:06,509][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:22:06,512][energy_star][INFO] - 	+ Iteration 10/10
+[PROC-0][2024-10-01 19:22:10,527][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 		+ forward energy consumption:
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ CPU: 0.000043 (kWh)
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ GPU: 0.000168 (kWh)
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ total: 0.000211 (kWh)
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 		+ forward_iteration_1 energy consumption:
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ GPU: 0.000185 (kWh)
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,530][energy][INFO] - 			+ total: 0.000233 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 		+ forward_iteration_2 energy consumption:
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ GPU: 0.000183 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ total: 0.000231 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 		+ forward_iteration_3 energy consumption:
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ GPU: 0.000184 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,531][energy][INFO] - 			+ total: 0.000232 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 		+ forward_iteration_4 energy consumption:
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 		+ forward_iteration_5 energy consumption:
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,532][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 		+ forward_iteration_6 energy consumption:
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ GPU: 0.000188 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 		+ forward_iteration_7 energy consumption:
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,533][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 		+ forward_iteration_8 energy consumption:
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ GPU: 0.000189 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ total: 0.000236 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 		+ forward_iteration_9 energy consumption:
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ GPU: 0.000193 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,534][energy][INFO] - 			+ total: 0.000241 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 		+ forward_iteration_10 energy consumption:
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ GPU: 0.000189 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ total: 0.000237 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ CPU: 0.000005 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ GPU: 0.000008 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-01 19:22:10,535][energy][INFO] - 			+ total: 0.000013 (kWh)
+[PROC-0][2024-10-01 19:22:10,536][energy][INFO] - 		+ forward energy efficiency: 4730924.470545 (samples/kWh)
+[PROC-0][2024-10-01 19:22:10,536][energy][INFO] - 		+ preprocess energy efficiency: 78278560.872894 (samples/kWh)
+[2024-10-01 19:22:11,131][device-isolation][INFO] - 	+ Closing device(s) isolation process...
+[2024-10-01 19:22:11,179][datasets][INFO] - PyTorch version 2.4.0 available.

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "lvwerra/distilbert-imdb",
+        "processor": "lvwerra/distilbert-imdb",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
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+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {},
+        "call_kwargs": {}
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+    "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",
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+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
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+        "peft_version": null,
+        "peft_commit": null
+    }
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/forward_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:22:10",
+    "project_name": "codecarbon",
+    "run_id": "a4609e1f-c533-456f-8bf6-28ba55ba7cdd",
+    "duration": -1727750784.2951422,
+    "emissions": 8.750595789014414e-05,
+    "emissions_rate": 2.182205858635412e-05,
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+    "energy_consumed": 0.0002370571887402072,
+    "country_name": "United States",
+    "country_iso_code": "USA",
+    "region": "virginia",
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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
+}

text_classification/lvwerra/distilbert-imdb/2024-10-01-19-21-19/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-01T19:21:29",
+    "project_name": "codecarbon",
+    "run_id": "a4609e1f-c533-456f-8bf6-28ba55ba7cdd",
+    "duration": -1727750787.8838358,
+    "emissions": 4.715651051507304e-06,
+    "emissions_rate": 1.119145951252703e-05,
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+    "gpu_energy": 7.722228399953401e-06,
+    "ram_energy": 3.224512999262444e-08,
+    "energy_consumed": 1.2774889942391356e-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
+}