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This was run on an 100-large : Don't want it to get mixed in with the a10 experiments.

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  1. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/.hydra/config.yaml +0 -96
  2. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/.hydra/hydra.yaml +0 -175
  3. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/.hydra/overrides.yaml +0 -2
  4. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/benchmark_report.json +0 -203
  5. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/cli.log +0 -188
  6. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/error.log +0 -0
  7. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/experiment_config.json +0 -110
  8. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/generate_codecarbon.json +0 -33
  9. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/prefill_codecarbon.json +0 -33
  10. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/preprocess_codecarbon.json +0 -33
text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/.hydra/config.yaml DELETED
@@ -1,96 +0,0 @@
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- backend:
2
- name: pytorch
3
- version: 2.4.0
4
- _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
5
- task: text-generation
6
- model: meta-llama/Llama-3.1-8B-Instruct
7
- processor: meta-llama/Llama-3.1-8B-Instruct
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- library: null
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- device: cuda
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- device_ids: '0'
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- seed: 42
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- inter_op_num_threads: null
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- intra_op_num_threads: null
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- hub_kwargs: {}
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- no_weights: true
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- torch_compile: false
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- torch_compile_config: {}
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- quantization_scheme: null
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- quantization_config: {}
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- deepspeed_inference: false
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- deepspeed_inference_config: {}
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- peft_type: null
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- peft_config: {}
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- launcher:
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- name: process
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- _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
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- device_isolation: false
37
- device_isolation_action: warn
38
- start_method: spawn
39
- benchmark:
40
- name: energy_star
41
- _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
42
- dataset_name: EnergyStarAI/text_generation
43
- dataset_config: ''
44
- dataset_split: train
45
- num_samples: 1000
46
- input_shapes:
47
- batch_size: 1
48
- text_column_name: text
49
- truncation: true
50
- max_length: -1
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- dataset_prefix1: ''
52
- dataset_prefix2: ''
53
- t5_task: ''
54
- image_column_name: image
55
- resize: false
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- question_column_name: question
57
- context_column_name: context
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- sentence1_column_name: sentence1
59
- sentence2_column_name: sentence2
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- audio_column_name: audio
61
- iterations: 10
62
- warmup_runs: 10
63
- energy: true
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- forward_kwargs: {}
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- generate_kwargs:
66
- max_new_tokens: 10
67
- min_new_tokens: 10
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- call_kwargs: {}
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- experiment_name: text_generation
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- environment:
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- cpu: ' Intel(R) Xeon(R) Platinum 8275CL CPU @ 3.00GHz'
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- cpu_count: 96
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- cpu_ram_mb: 1204529.905664
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- system: Linux
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- machine: x86_64
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- processor: x86_64
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- - NVIDIA A100-SXM4-80GB
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text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/.hydra/hydra.yaml DELETED
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- hydra:
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- dir: /runs/text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09
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- header: '${hydra.help.app_name} is powered by Hydra.
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-
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- '
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- footer: 'Powered by Hydra (https://hydra.cc)
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-
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- Use --hydra-help to view Hydra specific help
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-
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- '
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- template: '${hydra.help.header}
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-
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- == Configuration groups ==
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-
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- Compose your configuration from those groups (group=option)
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-
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-
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- $APP_CONFIG_GROUPS
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-
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-
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- == Config ==
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-
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- Override anything in the config (foo.bar=value)
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-
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-
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- $CONFIG
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-
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-
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- ${hydra.help.footer}
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-
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- '
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- hydra_help:
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- template: 'Hydra (${hydra.runtime.version})
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-
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- See https://hydra.cc for more info.
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-
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-
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- == Flags ==
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-
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- $FLAGS_HELP
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-
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-
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- == Configuration groups ==
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-
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- Compose your configuration from those groups (For example, append hydra/job_logging=disabled
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- to command line)
59
-
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-
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- $HYDRA_CONFIG_GROUPS
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-
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-
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- Use ''--cfg hydra'' to Show the Hydra config.
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-
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- '
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- hydra_help: ???
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- hydra_logging:
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- version: 1
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- formatters:
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- colorlog:
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- (): colorlog.ColoredFormatter
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- formatter: colorlog
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- level: INFO
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- handlers:
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- - console
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- disable_existing_loggers: false
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- job_logging:
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- version: 1
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- formatters:
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- format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
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- colorlog:
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- (): colorlog.ColoredFormatter
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- format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
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- - %(message)s'
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- log_colors:
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- DEBUG: purple
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- INFO: green
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- WARNING: yellow
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- ERROR: red
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- CRITICAL: red
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- handlers:
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- console:
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- class: logging.StreamHandler
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- formatter: colorlog
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- stream: ext://sys.stdout
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- class: logging.FileHandler
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- level: INFO
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- handlers:
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- - console
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- - file
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- disable_existing_loggers: false
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- env: {}
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- searchpath: []
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- callbacks: {}
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- output_subdir: .hydra
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- overrides:
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- hydra:
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- - hydra.run.dir=/runs/text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09
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- - hydra.mode=RUN
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- task:
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- - backend.model=meta-llama/Llama-3.1-8B-Instruct
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- - backend.processor=meta-llama/Llama-3.1-8B-Instruct
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- job:
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- name: cli
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- chdir: true
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- override_dirname: backend.model=meta-llama/Llama-3.1-8B-Instruct,backend.processor=meta-llama/Llama-3.1-8B-Instruct
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- id: ???
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- num: ???
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- config_name: text_generation
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- env_set:
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- OVERRIDE_BENCHMARKS: '1'
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- env_copy: []
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- config:
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- override_dirname:
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- kv_sep: '='
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- item_sep: ','
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- exclude_keys: []
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- runtime:
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- version: 1.3.2
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- version_base: '1.3'
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- cwd: /
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- config_sources:
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- - path: hydra.conf
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- schema: pkg
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- provider: hydra
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- - path: optimum_benchmark
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- schema: pkg
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- provider: main
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- - path: hydra_plugins.hydra_colorlog.conf
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- schema: pkg
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- provider: hydra-colorlog
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- - path: /optimum-benchmark/examples/energy_star
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- schema: file
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- provider: command-line
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- - path: ''
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- schema: structured
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- provider: schema
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- output_dir: /runs/text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09
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- choices:
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- benchmark: energy_star
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- launcher: process
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- backend: pytorch
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- hydra/env: default
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- hydra/callbacks: null
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- hydra/job_logging: colorlog
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- hydra/hydra_logging: colorlog
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- hydra/hydra_help: default
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- hydra/help: default
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- hydra/sweeper: basic
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- hydra/launcher: basic
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- hydra/output: default
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- verbose: false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- - backend.processor=meta-llama/Llama-3.1-8B-Instruct
 
 
 
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text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/cli.log DELETED
@@ -1,188 +0,0 @@
1
- [2024-10-30 19:38:13,123][launcher][INFO] - ََAllocating process launcher
2
- [2024-10-30 19:38:13,123][process][INFO] - + Setting multiprocessing start method to spawn.
3
- [2024-10-30 19:38:13,142][process][INFO] - + Launched benchmark in isolated process 229.
4
- [PROC-0][2024-10-30 19:38:16,168][datasets][INFO] - PyTorch version 2.4.0 available.
5
- [PROC-0][2024-10-30 19:38:17,220][backend][INFO] - َAllocating pytorch backend
6
- [PROC-0][2024-10-30 19:38:17,220][backend][INFO] - + Setting random seed to 42
7
- [PROC-0][2024-10-30 19:38:18,589][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
8
- [PROC-0][2024-10-30 19:38:18,590][pytorch][INFO] - + Creating backend temporary directory
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- [PROC-0][2024-10-30 19:38:18,590][pytorch][INFO] - + Loading model with random weights
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- [PROC-0][2024-10-30 19:38:18,590][pytorch][INFO] - + Creating no weights model
11
- [PROC-0][2024-10-30 19:38:18,590][pytorch][INFO] - + Creating no weights model directory
12
- [PROC-0][2024-10-30 19:38:18,590][pytorch][INFO] - + Creating no weights model state dict
13
- [PROC-0][2024-10-30 19:38:18,609][pytorch][INFO] - + Saving no weights model safetensors
14
- [PROC-0][2024-10-30 19:38:18,610][pytorch][INFO] - + Saving no weights model pretrained config
15
- [PROC-0][2024-10-30 19:38:18,611][pytorch][INFO] - + Loading no weights AutoModel
16
- [PROC-0][2024-10-30 19:38:18,611][pytorch][INFO] - + Loading model directly on device: cuda
17
- [PROC-0][2024-10-30 19:38:19,443][pytorch][INFO] - + Turning on model's eval mode
18
- [PROC-0][2024-10-30 19:38:19,451][benchmark][INFO] - Allocating energy_star benchmark
19
- [PROC-0][2024-10-30 19:38:19,451][energy_star][INFO] - + Loading raw dataset
20
- [PROC-0][2024-10-30 19:38:21,497][energy_star][INFO] - + Updating Text Generation kwargs with default values
21
- [PROC-0][2024-10-30 19:38:21,498][energy_star][INFO] - + Initializing Text Generation report
22
- [PROC-0][2024-10-30 19:38:21,498][energy][INFO] - + Tracking GPU energy on devices [0]
23
- [PROC-0][2024-10-30 19:38:25,734][energy_star][INFO] - + Preprocessing dataset
24
- [PROC-0][2024-10-30 19:38:26,683][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
25
- [PROC-0][2024-10-30 19:38:26,683][energy_star][INFO] - + Preparing backend for Inference
26
- [PROC-0][2024-10-30 19:38:26,683][energy_star][INFO] - + Initialising dataloader
27
- [PROC-0][2024-10-30 19:38:26,684][energy_star][INFO] - + Warming up backend for Inference
28
- [PROC-0][2024-10-30 19:38:30,422][energy_star][INFO] - + Additional warmup for Text Generation
29
- [PROC-0][2024-10-30 19:38:30,949][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
30
- [PROC-0][2024-10-30 19:38:30,949][energy_star][INFO] - + Prefill iteration 1/10
31
- [PROC-0][2024-10-30 19:44:30,360][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
32
- [PROC-0][2024-10-30 19:44:30,361][energy_star][INFO] - + Prefill iteration 2/10
33
- [PROC-0][2024-10-30 19:50:29,410][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
34
- [PROC-0][2024-10-30 19:50:29,410][energy_star][INFO] - + Prefill iteration 3/10
35
- [PROC-0][2024-10-30 19:56:29,473][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
36
- [PROC-0][2024-10-30 19:56:29,473][energy_star][INFO] - + Prefill iteration 4/10
37
- [PROC-0][2024-10-30 20:02:29,141][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
38
- [PROC-0][2024-10-30 20:02:29,142][energy_star][INFO] - + Prefill iteration 5/10
39
- [PROC-0][2024-10-30 20:08:30,252][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
40
- [PROC-0][2024-10-30 20:08:30,252][energy_star][INFO] - + Prefill iteration 6/10
41
- [PROC-0][2024-10-30 20:14:31,338][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
42
- [PROC-0][2024-10-30 20:14:31,339][energy_star][INFO] - + Prefill iteration 7/10
43
- [PROC-0][2024-10-30 20:20:32,399][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
44
- [PROC-0][2024-10-30 20:20:32,399][energy_star][INFO] - + Prefill iteration 8/10
45
- [PROC-0][2024-10-30 20:26:30,726][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
46
- [PROC-0][2024-10-30 20:26:30,727][energy_star][INFO] - + Prefill iteration 9/10
47
- [PROC-0][2024-10-30 20:32:31,276][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
48
- [PROC-0][2024-10-30 20:32:31,277][energy_star][INFO] - + Prefill iteration 10/10
49
- [PROC-0][2024-10-30 20:38:30,831][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
50
- [PROC-0][2024-10-30 20:38:30,832][energy_star][INFO] - + Decoding iteration 1/10
51
- [PROC-0][2024-10-30 20:48:21,912][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
52
- [PROC-0][2024-10-30 20:48:21,912][energy_star][INFO] - + Decoding iteration 2/10
53
- [PROC-0][2024-10-30 20:58:11,782][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
54
- [PROC-0][2024-10-30 20:58:11,783][energy_star][INFO] - + Decoding iteration 3/10
55
- [PROC-0][2024-10-30 21:08:01,301][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
56
- [PROC-0][2024-10-30 21:08:01,302][energy_star][INFO] - + Decoding iteration 4/10
57
- [PROC-0][2024-10-30 21:17:51,559][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
58
- [PROC-0][2024-10-30 21:17:51,559][energy_star][INFO] - + Decoding iteration 5/10
59
- [PROC-0][2024-10-30 21:27:41,746][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
60
- [PROC-0][2024-10-30 21:27:41,746][energy_star][INFO] - + Decoding iteration 6/10
61
- [PROC-0][2024-10-30 21:37:32,378][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
62
- [PROC-0][2024-10-30 21:37:32,379][energy_star][INFO] - + Decoding iteration 7/10
63
- [PROC-0][2024-10-30 21:47:22,360][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
64
- [PROC-0][2024-10-30 21:47:22,361][energy_star][INFO] - + Decoding iteration 8/10
65
- [PROC-0][2024-10-30 21:57:12,263][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
66
- [PROC-0][2024-10-30 21:57:12,264][energy_star][INFO] - + Decoding iteration 9/10
67
- [PROC-0][2024-10-30 22:07:02,171][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
68
- [PROC-0][2024-10-30 22:07:02,171][energy_star][INFO] - + Decoding iteration 10/10
69
- [PROC-0][2024-10-30 22:16:52,095][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
70
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + prefill energy consumption:
71
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + CPU: 0.010796 (kWh)
72
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + GPU: 0.035094 (kWh)
73
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + RAM: 0.000042 (kWh)
74
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + total: 0.045933 (kWh)
75
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + prefill_iteration_1 energy consumption:
76
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + CPU: 0.011980 (kWh)
77
- [PROC-0][2024-10-30 22:16:52,096][energy][INFO] - + GPU: 0.039072 (kWh)
78
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + RAM: 0.000047 (kWh)
79
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + total: 0.051099 (kWh)
80
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + prefill_iteration_2 energy consumption:
81
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + CPU: 0.011968 (kWh)
82
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + GPU: 0.038862 (kWh)
83
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + RAM: 0.000047 (kWh)
84
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + total: 0.050877 (kWh)
85
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + prefill_iteration_3 energy consumption:
86
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + CPU: 0.012002 (kWh)
87
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + GPU: 0.039085 (kWh)
88
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + RAM: 0.000047 (kWh)
89
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + total: 0.051134 (kWh)
90
- [PROC-0][2024-10-30 22:16:52,097][energy][INFO] - + prefill_iteration_4 energy consumption:
91
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + CPU: 0.011989 (kWh)
92
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + GPU: 0.038885 (kWh)
93
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + RAM: 0.000047 (kWh)
94
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + total: 0.050921 (kWh)
95
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + prefill_iteration_5 energy consumption:
96
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + CPU: 0.012037 (kWh)
97
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + GPU: 0.039224 (kWh)
98
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + RAM: 0.000047 (kWh)
99
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + total: 0.051308 (kWh)
100
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + prefill_iteration_6 energy consumption:
101
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + CPU: 0.012036 (kWh)
102
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + GPU: 0.039235 (kWh)
103
- [PROC-0][2024-10-30 22:16:52,098][energy][INFO] - + RAM: 0.000047 (kWh)
104
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + total: 0.051318 (kWh)
105
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + prefill_iteration_7 energy consumption:
106
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + CPU: 0.000000 (kWh)
107
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + GPU: 0.000000 (kWh)
108
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + RAM: 0.000000 (kWh)
109
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + total: 0.000000 (kWh)
110
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + prefill_iteration_8 energy consumption:
111
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + CPU: 0.011944 (kWh)
112
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + GPU: 0.038602 (kWh)
113
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + RAM: 0.000047 (kWh)
114
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + total: 0.050593 (kWh)
115
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + prefill_iteration_9 energy consumption:
116
- [PROC-0][2024-10-30 22:16:52,099][energy][INFO] - + CPU: 0.012018 (kWh)
117
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + GPU: 0.039131 (kWh)
118
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + RAM: 0.000047 (kWh)
119
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + total: 0.051197 (kWh)
120
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + prefill_iteration_10 energy consumption:
121
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + CPU: 0.011985 (kWh)
122
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + GPU: 0.038848 (kWh)
123
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + RAM: 0.000047 (kWh)
124
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + total: 0.050880 (kWh)
125
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + decode energy consumption:
126
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + CPU: 0.006908 (kWh)
127
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + GPU: 0.017160 (kWh)
128
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + RAM: 0.000027 (kWh)
129
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + total: 0.024094 (kWh)
130
- [PROC-0][2024-10-30 22:16:52,100][energy][INFO] - + decode_iteration_1 energy consumption:
131
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + CPU: 0.007722 (kWh)
132
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + GPU: 0.019797 (kWh)
133
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + RAM: 0.000030 (kWh)
134
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + total: 0.027549 (kWh)
135
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + decode_iteration_2 energy consumption:
136
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + CPU: 0.007694 (kWh)
137
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + GPU: 0.019139 (kWh)
138
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + RAM: 0.000030 (kWh)
139
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + total: 0.026863 (kWh)
140
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + decode_iteration_3 energy consumption:
141
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + CPU: 0.007649 (kWh)
142
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + GPU: 0.018362 (kWh)
143
- [PROC-0][2024-10-30 22:16:52,101][energy][INFO] - + RAM: 0.000030 (kWh)
144
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + total: 0.026040 (kWh)
145
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + decode_iteration_4 energy consumption:
146
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + CPU: 0.007686 (kWh)
147
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + GPU: 0.019306 (kWh)
148
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + RAM: 0.000030 (kWh)
149
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + total: 0.027022 (kWh)
150
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + decode_iteration_5 energy consumption:
151
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + CPU: -0.012037 (kWh)
152
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + GPU: -0.039224 (kWh)
153
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + RAM: -0.000047 (kWh)
154
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + total: -0.051308 (kWh)
155
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + decode_iteration_6 energy consumption:
156
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + CPU: 0.007652 (kWh)
157
- [PROC-0][2024-10-30 22:16:52,102][energy][INFO] - + GPU: 0.019264 (kWh)
158
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + RAM: 0.000030 (kWh)
159
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + total: 0.026945 (kWh)
160
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + decode_iteration_7 energy consumption:
161
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + CPU: 0.019666 (kWh)
162
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + GPU: 0.057814 (kWh)
163
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + RAM: 0.000077 (kWh)
164
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + total: 0.077557 (kWh)
165
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + decode_iteration_8 energy consumption:
166
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + CPU: 0.007719 (kWh)
167
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + GPU: 0.019260 (kWh)
168
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + RAM: 0.000030 (kWh)
169
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + total: 0.027009 (kWh)
170
- [PROC-0][2024-10-30 22:16:52,103][energy][INFO] - + decode_iteration_9 energy consumption:
171
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + CPU: 0.007645 (kWh)
172
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + GPU: 0.018757 (kWh)
173
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + RAM: 0.000030 (kWh)
174
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + total: 0.026432 (kWh)
175
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + decode_iteration_10 energy consumption:
176
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + CPU: 0.007679 (kWh)
177
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + GPU: 0.019122 (kWh)
178
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + RAM: 0.000030 (kWh)
179
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + total: 0.026831 (kWh)
180
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + preprocess energy consumption:
181
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + CPU: 0.000032 (kWh)
182
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + GPU: 0.000021 (kWh)
183
- [PROC-0][2024-10-30 22:16:52,104][energy][INFO] - + RAM: 0.000000 (kWh)
184
- [PROC-0][2024-10-30 22:16:52,105][energy][INFO] - + total: 0.000053 (kWh)
185
- [PROC-0][2024-10-30 22:16:52,105][energy][INFO] - + prefill energy efficiency: 7875937.087230 (tokens/kWh)
186
- [PROC-0][2024-10-30 22:16:52,105][energy][INFO] - + decode energy efficiency: 373534.578341 (tokens/kWh)
187
- [PROC-0][2024-10-30 22:16:52,105][energy][INFO] - + preprocess energy efficiency: 18903508.140974 (samples/kWh)
188
- [2024-10-30 22:16:53,138][datasets][INFO] - PyTorch version 2.4.0 available.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/error.log DELETED
The diff for this file is too large to render. See raw diff
 
text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-30-19-38-09/experiment_config.json DELETED
@@ -1,110 +0,0 @@
1
- {
2
- "experiment_name": "text_generation",
3
- "backend": {
4
- "name": "pytorch",
5
- "version": "2.4.0",
6
- "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
7
- "task": "text-generation",
8
- "model": "meta-llama/Llama-3.1-8B-Instruct",
9
- "processor": "meta-llama/Llama-3.1-8B-Instruct",
10
- "library": "transformers",
11
- "device": "cuda",
12
- "device_ids": "0",
13
- "seed": 42,
14
- "inter_op_num_threads": null,
15
- "intra_op_num_threads": null,
16
- "hub_kwargs": {
17
- "revision": "main",
18
- "force_download": false,
19
- "local_files_only": false,
20
- "trust_remote_code": true
21
- },
22
- "no_weights": true,
23
- "device_map": null,
24
- "torch_dtype": null,
25
- "amp_autocast": false,
26
- "amp_dtype": null,
27
- "eval_mode": true,
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- "to_bettertransformer": false,
29
- "low_cpu_mem_usage": null,
30
- "attn_implementation": null,
31
- "cache_implementation": null,
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- "torch_compile": false,
33
- "torch_compile_config": {},
34
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