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  1. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/config.yaml +96 -0
  2. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/hydra.yaml +175 -0
  3. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/overrides.yaml +2 -0
  4. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/benchmark_report.json +203 -0
  5. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/cli.log +188 -0
  6. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/error.log +0 -0
  7. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/experiment_config.json +110 -0
  8. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/generate_codecarbon.json +33 -0
  9. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/prefill_codecarbon.json +33 -0
  10. text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/preprocess_codecarbon.json +33 -0
  11. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/.hydra/config.yaml +96 -0
  12. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/.hydra/hydra.yaml +175 -0
  13. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/.hydra/overrides.yaml +2 -0
  14. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/cli.log +17 -0
  15. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/error.log +50 -0
  16. text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/experiment_config.json +110 -0
text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/config.yaml ADDED
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1
+ backend:
2
+ name: pytorch
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+ version: 2.4.0
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+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
5
+ task: text-generation
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+ model: EleutherAI/pythia-1.4b
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+ processor: EleutherAI/pythia-1.4b
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+ library: null
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+ device: cuda
10
+ 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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+ device_map: null
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+ torch_dtype: null
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+ amp_autocast: false
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+ amp_dtype: null
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+ eval_mode: true
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+ to_bettertransformer: false
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+ low_cpu_mem_usage: null
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+ attn_implementation: null
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+ cache_implementation: null
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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
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+ 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
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+ text_column_name: text
49
+ truncation: true
50
+ max_length: -1
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+ dataset_prefix1: ''
52
+ dataset_prefix2: ''
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+ t5_task: ''
54
+ image_column_name: image
55
+ resize: false
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+ question_column_name: question
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+ context_column_name: context
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+ sentence1_column_name: sentence1
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+ sentence2_column_name: sentence2
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+ audio_column_name: audio
61
+ iterations: 10
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+ warmup_runs: 10
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+ energy: true
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+ forward_kwargs: {}
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+ generate_kwargs:
66
+ max_new_tokens: 10
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+ 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: ' AMD EPYC 7R32'
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+ cpu_count: 48
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+ cpu_ram_mb: 200472.73984
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+ system: Linux
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+ machine: x86_64
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+ platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
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+ processor: x86_64
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+ python_version: 3.9.20
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+ gpu:
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+ - NVIDIA A10G
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+ gpu_count: 1
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+ gpu_vram_mb: 24146608128
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+ optimum_benchmark_version: 0.2.0
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+ optimum_benchmark_commit: null
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+ transformers_version: 4.44.0
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+ transformers_commit: null
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+ accelerate_version: 0.33.0
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+ accelerate_commit: null
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+ diffusers_version: 0.30.0
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+ diffusers_commit: null
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+ optimum_version: null
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+ optimum_commit: null
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+ timm_version: null
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+ timm_commit: null
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+ peft_version: null
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+ peft_commit: null
text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/hydra.yaml ADDED
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1
+ hydra:
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+ run:
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+ dir: /runs/text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57
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+ sweep:
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+ dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
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+ subdir: ${hydra.job.num}
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+ launcher:
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+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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+ sweeper:
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+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
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+ max_batch_size: null
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+ params: null
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+ help:
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+ app_name: ${hydra.job.name}
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+ header: '${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
21
+
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+ '
23
+ template: '${hydra.help.header}
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+
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+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
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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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+
49
+
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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 ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
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+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
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+
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+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ 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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+ format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
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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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+ root:
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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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+ simple:
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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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+ file:
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+ class: logging.FileHandler
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+ formatter: simple
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+ filename: ${hydra.job.name}.log
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+ root:
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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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+ mode: RUN
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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/EleutherAI/pythia-1.4b/2024-10-25-13-06-57
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+ - hydra.mode=RUN
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+ task:
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+ - backend.model=EleutherAI/pythia-1.4b
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+ - backend.processor=EleutherAI/pythia-1.4b
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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=EleutherAI/pythia-1.4b,backend.processor=EleutherAI/pythia-1.4b
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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/EleutherAI/pythia-1.4b/2024-10-25-13-06-57
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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
text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/.hydra/overrides.yaml ADDED
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+ - backend.model=EleutherAI/pythia-1.4b
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+ - backend.processor=EleutherAI/pythia-1.4b
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text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/cli.log ADDED
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+ [2024-10-25 13:07:00,323][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-25 13:07:00,323][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-25 13:07:00,335][process][INFO] - + Launched benchmark in isolated process 351.
4
+ [PROC-0][2024-10-25 13:07:02,873][datasets][INFO] - PyTorch version 2.4.0 available.
5
+ [PROC-0][2024-10-25 13:07:03,794][backend][INFO] - َAllocating pytorch backend
6
+ [PROC-0][2024-10-25 13:07:03,794][backend][INFO] - + Setting random seed to 42
7
+ [PROC-0][2024-10-25 13:07:04,645][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
8
+ [PROC-0][2024-10-25 13:07:04,645][pytorch][INFO] - + Creating backend temporary directory
9
+ [PROC-0][2024-10-25 13:07:04,645][pytorch][INFO] - + Loading model with random weights
10
+ [PROC-0][2024-10-25 13:07:04,646][pytorch][INFO] - + Creating no weights model
11
+ [PROC-0][2024-10-25 13:07:04,646][pytorch][INFO] - + Creating no weights model directory
12
+ [PROC-0][2024-10-25 13:07:04,646][pytorch][INFO] - + Creating no weights model state dict
13
+ [PROC-0][2024-10-25 13:07:04,666][pytorch][INFO] - + Saving no weights model safetensors
14
+ [PROC-0][2024-10-25 13:07:04,666][pytorch][INFO] - + Saving no weights model pretrained config
15
+ [PROC-0][2024-10-25 13:07:04,667][pytorch][INFO] - + Loading no weights AutoModel
16
+ [PROC-0][2024-10-25 13:07:04,667][pytorch][INFO] - + Loading model directly on device: cuda
17
+ [PROC-0][2024-10-25 13:07:05,038][pytorch][INFO] - + Turning on model's eval mode
18
+ [PROC-0][2024-10-25 13:07:05,045][benchmark][INFO] - Allocating energy_star benchmark
19
+ [PROC-0][2024-10-25 13:07:05,045][energy_star][INFO] - + Loading raw dataset
20
+ [PROC-0][2024-10-25 13:07:06,316][energy_star][INFO] - + Updating Text Generation kwargs with default values
21
+ [PROC-0][2024-10-25 13:07:06,317][energy_star][INFO] - + Initializing Text Generation report
22
+ [PROC-0][2024-10-25 13:07:06,317][energy][INFO] - + Tracking GPU energy on devices [0]
23
+ [PROC-0][2024-10-25 13:07:10,519][energy_star][INFO] - + Preprocessing dataset
24
+ [PROC-0][2024-10-25 13:07:11,462][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
25
+ [PROC-0][2024-10-25 13:07:11,463][energy_star][INFO] - + Preparing backend for Inference
26
+ [PROC-0][2024-10-25 13:07:11,463][energy_star][INFO] - + Initialising dataloader
27
+ [PROC-0][2024-10-25 13:07:11,463][energy_star][INFO] - + Warming up backend for Inference
28
+ [PROC-0][2024-10-25 13:07:12,868][energy_star][INFO] - + Additional warmup for Text Generation
29
+ [PROC-0][2024-10-25 13:07:13,067][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
30
+ [PROC-0][2024-10-25 13:07:13,067][energy_star][INFO] - + Prefill iteration 1/10
31
+ [PROC-0][2024-10-25 13:08:16,356][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
32
+ [PROC-0][2024-10-25 13:08:16,357][energy_star][INFO] - + Prefill iteration 2/10
33
+ [PROC-0][2024-10-25 13:09:19,878][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
34
+ [PROC-0][2024-10-25 13:09:19,878][energy_star][INFO] - + Prefill iteration 3/10
35
+ [PROC-0][2024-10-25 13:10:23,466][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
36
+ [PROC-0][2024-10-25 13:10:23,467][energy_star][INFO] - + Prefill iteration 4/10
37
+ [PROC-0][2024-10-25 13:11:27,441][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
38
+ [PROC-0][2024-10-25 13:11:27,442][energy_star][INFO] - + Prefill iteration 5/10
39
+ [PROC-0][2024-10-25 13:12:31,574][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
40
+ [PROC-0][2024-10-25 13:12:31,574][energy_star][INFO] - + Prefill iteration 6/10
41
+ [PROC-0][2024-10-25 13:13:35,635][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
42
+ [PROC-0][2024-10-25 13:13:35,635][energy_star][INFO] - + Prefill iteration 7/10
43
+ [PROC-0][2024-10-25 13:14:39,660][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
44
+ [PROC-0][2024-10-25 13:14:39,660][energy_star][INFO] - + Prefill iteration 8/10
45
+ [PROC-0][2024-10-25 13:15:43,699][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
46
+ [PROC-0][2024-10-25 13:15:43,700][energy_star][INFO] - + Prefill iteration 9/10
47
+ [PROC-0][2024-10-25 13:16:47,745][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
48
+ [PROC-0][2024-10-25 13:16:47,745][energy_star][INFO] - + Prefill iteration 10/10
49
+ [PROC-0][2024-10-25 13:17:51,801][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
50
+ [PROC-0][2024-10-25 13:17:51,802][energy_star][INFO] - + Decoding iteration 1/10
51
+ [PROC-0][2024-10-25 13:21:17,249][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
52
+ [PROC-0][2024-10-25 13:21:17,250][energy_star][INFO] - + Decoding iteration 2/10
53
+ [PROC-0][2024-10-25 13:24:42,398][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
54
+ [PROC-0][2024-10-25 13:24:42,398][energy_star][INFO] - + Decoding iteration 3/10
55
+ [PROC-0][2024-10-25 13:28:07,656][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
56
+ [PROC-0][2024-10-25 13:28:07,656][energy_star][INFO] - + Decoding iteration 4/10
57
+ [PROC-0][2024-10-25 13:31:32,659][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
58
+ [PROC-0][2024-10-25 13:31:32,659][energy_star][INFO] - + Decoding iteration 5/10
59
+ [PROC-0][2024-10-25 13:34:57,839][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
60
+ [PROC-0][2024-10-25 13:34:57,840][energy_star][INFO] - + Decoding iteration 6/10
61
+ [PROC-0][2024-10-25 13:38:22,843][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
62
+ [PROC-0][2024-10-25 13:38:22,843][energy_star][INFO] - + Decoding iteration 7/10
63
+ [PROC-0][2024-10-25 13:41:48,027][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
64
+ [PROC-0][2024-10-25 13:41:48,027][energy_star][INFO] - + Decoding iteration 8/10
65
+ [PROC-0][2024-10-25 13:45:12,960][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
66
+ [PROC-0][2024-10-25 13:45:12,960][energy_star][INFO] - + Decoding iteration 9/10
67
+ [PROC-0][2024-10-25 13:48:37,708][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
68
+ [PROC-0][2024-10-25 13:48:37,708][energy_star][INFO] - + Decoding iteration 10/10
69
+ [PROC-0][2024-10-25 13:52:02,637][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
70
+ [PROC-0][2024-10-25 13:52:02,638][energy][INFO] - + prefill energy consumption:
71
+ [PROC-0][2024-10-25 13:52:02,638][energy][INFO] - + CPU: 0.000678 (kWh)
72
+ [PROC-0][2024-10-25 13:52:02,638][energy][INFO] - + GPU: 0.004671 (kWh)
73
+ [PROC-0][2024-10-25 13:52:02,638][energy][INFO] - + RAM: 0.000007 (kWh)
74
+ [PROC-0][2024-10-25 13:52:02,638][energy][INFO] - + total: 0.005356 (kWh)
75
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + prefill_iteration_1 energy consumption:
76
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + CPU: 0.000747 (kWh)
77
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + GPU: 0.005128 (kWh)
78
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + RAM: 0.000008 (kWh)
79
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + total: 0.005883 (kWh)
80
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + prefill_iteration_2 energy consumption:
81
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + CPU: 0.000750 (kWh)
82
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + GPU: 0.005163 (kWh)
83
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + RAM: 0.000008 (kWh)
84
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + total: 0.005920 (kWh)
85
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + prefill_iteration_3 energy consumption:
86
+ [PROC-0][2024-10-25 13:52:02,639][energy][INFO] - + CPU: 0.000751 (kWh)
87
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + GPU: 0.005159 (kWh)
88
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + RAM: 0.000008 (kWh)
89
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + total: 0.005918 (kWh)
90
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + prefill_iteration_4 energy consumption:
91
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + CPU: 0.000755 (kWh)
92
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + GPU: 0.005192 (kWh)
93
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + RAM: 0.000008 (kWh)
94
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + total: 0.005955 (kWh)
95
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + prefill_iteration_5 energy consumption:
96
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + CPU: 0.000757 (kWh)
97
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + GPU: 0.005253 (kWh)
98
+ [PROC-0][2024-10-25 13:52:02,640][energy][INFO] - + RAM: 0.000008 (kWh)
99
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + total: 0.006017 (kWh)
100
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + prefill_iteration_6 energy consumption:
101
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + CPU: 0.000756 (kWh)
102
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + GPU: 0.005223 (kWh)
103
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + RAM: 0.000008 (kWh)
104
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + total: 0.005987 (kWh)
105
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + prefill_iteration_7 energy consumption:
106
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + CPU: 0.000000 (kWh)
107
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + GPU: 0.000000 (kWh)
108
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + RAM: 0.000000 (kWh)
109
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + total: 0.000000 (kWh)
110
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + prefill_iteration_8 energy consumption:
111
+ [PROC-0][2024-10-25 13:52:02,641][energy][INFO] - + CPU: 0.000756 (kWh)
112
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + GPU: 0.005202 (kWh)
113
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + RAM: 0.000008 (kWh)
114
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + total: 0.005966 (kWh)
115
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + prefill_iteration_9 energy consumption:
116
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + CPU: 0.000756 (kWh)
117
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + GPU: 0.005200 (kWh)
118
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + RAM: 0.000008 (kWh)
119
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + total: 0.005964 (kWh)
120
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + prefill_iteration_10 energy consumption:
121
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + CPU: 0.000756 (kWh)
122
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + GPU: 0.005188 (kWh)
123
+ [PROC-0][2024-10-25 13:52:02,642][energy][INFO] - + RAM: 0.000008 (kWh)
124
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + total: 0.005952 (kWh)
125
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + decode energy consumption:
126
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + CPU: 0.001500 (kWh)
127
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + GPU: 0.005863 (kWh)
128
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + RAM: 0.000015 (kWh)
129
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + total: 0.007379 (kWh)
130
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + decode_iteration_1 energy consumption:
131
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + CPU: 0.001678 (kWh)
132
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + GPU: 0.006699 (kWh)
133
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + RAM: 0.000017 (kWh)
134
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + total: 0.008394 (kWh)
135
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + decode_iteration_2 energy consumption:
136
+ [PROC-0][2024-10-25 13:52:02,643][energy][INFO] - + CPU: 0.001672 (kWh)
137
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + GPU: 0.006521 (kWh)
138
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + RAM: 0.000017 (kWh)
139
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + total: 0.008210 (kWh)
140
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + decode_iteration_3 energy consumption:
141
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + CPU: 0.001672 (kWh)
142
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + GPU: 0.006527 (kWh)
143
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + RAM: 0.000017 (kWh)
144
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + total: 0.008217 (kWh)
145
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + decode_iteration_4 energy consumption:
146
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + CPU: 0.001665 (kWh)
147
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + GPU: 0.006494 (kWh)
148
+ [PROC-0][2024-10-25 13:52:02,644][energy][INFO] - + RAM: 0.000017 (kWh)
149
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + total: 0.008176 (kWh)
150
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + decode_iteration_5 energy consumption:
151
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + CPU: -0.000757 (kWh)
152
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + GPU: -0.005253 (kWh)
153
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + RAM: -0.000008 (kWh)
154
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + total: -0.006017 (kWh)
155
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + decode_iteration_6 energy consumption:
156
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + CPU: 0.001664 (kWh)
157
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + GPU: 0.006471 (kWh)
158
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + RAM: 0.000017 (kWh)
159
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + total: 0.008151 (kWh)
160
+ [PROC-0][2024-10-25 13:52:02,645][energy][INFO] - + decode_iteration_7 energy consumption:
161
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + CPU: 0.002422 (kWh)
162
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + GPU: 0.011691 (kWh)
163
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + RAM: 0.000025 (kWh)
164
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + total: 0.014138 (kWh)
165
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + decode_iteration_8 energy consumption:
166
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + CPU: 0.001663 (kWh)
167
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + GPU: 0.006497 (kWh)
168
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + RAM: 0.000017 (kWh)
169
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + total: 0.008177 (kWh)
170
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + decode_iteration_9 energy consumption:
171
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + CPU: 0.001661 (kWh)
172
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + GPU: 0.006486 (kWh)
173
+ [PROC-0][2024-10-25 13:52:02,646][energy][INFO] - + RAM: 0.000017 (kWh)
174
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + total: 0.008164 (kWh)
175
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + decode_iteration_10 energy consumption:
176
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + CPU: 0.001663 (kWh)
177
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + GPU: 0.006499 (kWh)
178
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + RAM: 0.000017 (kWh)
179
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + total: 0.008178 (kWh)
180
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + preprocess energy consumption:
181
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + CPU: 0.000011 (kWh)
182
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + GPU: 0.000019 (kWh)
183
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + RAM: 0.000000 (kWh)
184
+ [PROC-0][2024-10-25 13:52:02,647][energy][INFO] - + total: 0.000030 (kWh)
185
+ [PROC-0][2024-10-25 13:52:02,648][energy][INFO] - + prefill energy efficiency: 56280142.641514 (tokens/kWh)
186
+ [PROC-0][2024-10-25 13:52:02,648][energy][INFO] - + decode energy efficiency: 1219724.614182 (tokens/kWh)
187
+ [PROC-0][2024-10-25 13:52:02,648][energy][INFO] - + preprocess energy efficiency: 33539822.245261 (samples/kWh)
188
+ [2024-10-25 13:52:03,342][datasets][INFO] - PyTorch version 2.4.0 available.
text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/error.log ADDED
The diff for this file is too large to render. See raw diff
 
text_generation/EleutherAI/pythia-1.4b/2024-10-25-13-06-57/experiment_config.json ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "EleutherAI/pythia-1.4b",
9
+ "processor": "EleutherAI/pythia-1.4b",
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,
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text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/.hydra/config.yaml ADDED
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+ backend:
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+ name: pytorch
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+ version: 2.4.0
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+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
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+ task: text-generation
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+ processor: meta-llama/Llama-3.1-8B-Instruct
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+ name: energy_star
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+ _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
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+ dataset_prefix2: ''
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+ sentence2_column_name: sentence2
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text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/.hydra/hydra.yaml ADDED
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+ hydra:
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+ run:
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+ dir: /runs/text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48
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+ dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
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+ launcher:
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+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
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+ params: null
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+ help:
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+ app_name: ${hydra.job.name}
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+ header: '${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
21
+
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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)
28
+
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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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36
+
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+
38
+ $CONFIG
39
+
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+
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+ ${hydra.help.footer}
42
+
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+ '
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+ hydra_help:
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+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ 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
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
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+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ formatters:
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+ colorlog:
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+ (): colorlog.ColoredFormatter
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+ format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)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:
101
+ class: logging.StreamHandler
102
+ formatter: colorlog
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+ stream: ext://sys.stdout
104
+ file:
105
+ class: logging.FileHandler
106
+ formatter: simple
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+ filename: ${hydra.job.name}.log
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+ root:
109
+ level: INFO
110
+ handlers:
111
+ - console
112
+ - file
113
+ disable_existing_loggers: false
114
+ env: {}
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+ mode: RUN
116
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117
+ callbacks: {}
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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/2024-10-25-13-06-48
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+ - hydra.mode=RUN
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+ - backend.processor=meta-llama/Llama-3.1-8B-Instruct
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+ name: cli
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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:
134
+ OVERRIDE_BENCHMARKS: '1'
135
+ 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'
144
+ cwd: /
145
+ config_sources:
146
+ - path: hydra.conf
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+ schema: pkg
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+ provider: hydra
149
+ - 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
153
+ 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
158
+ - path: ''
159
+ schema: structured
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+ provider: schema
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+ output_dir: /runs/text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48
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+ choices:
163
+ benchmark: energy_star
164
+ 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
text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/.hydra/overrides.yaml ADDED
@@ -0,0 +1,2 @@
 
 
 
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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
text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/cli.log ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2024-10-25 13:06:51,685][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-25 13:06:51,685][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-25 13:06:51,696][process][INFO] - + Launched benchmark in isolated process 180.
4
+ [PROC-0][2024-10-25 13:06:54,217][datasets][INFO] - PyTorch version 2.4.0 available.
5
+ [PROC-0][2024-10-25 13:06:55,114][backend][INFO] - َAllocating pytorch backend
6
+ [PROC-0][2024-10-25 13:06:55,114][backend][INFO] - + Setting random seed to 42
7
+ [PROC-0][2024-10-25 13:06:56,109][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
8
+ [PROC-0][2024-10-25 13:06:56,109][pytorch][INFO] - + Creating backend temporary directory
9
+ [PROC-0][2024-10-25 13:06:56,109][pytorch][INFO] - + Loading model with random weights
10
+ [PROC-0][2024-10-25 13:06:56,109][pytorch][INFO] - + Creating no weights model
11
+ [PROC-0][2024-10-25 13:06:56,109][pytorch][INFO] - + Creating no weights model directory
12
+ [PROC-0][2024-10-25 13:06:56,109][pytorch][INFO] - + Creating no weights model state dict
13
+ [PROC-0][2024-10-25 13:06:56,130][pytorch][INFO] - + Saving no weights model safetensors
14
+ [PROC-0][2024-10-25 13:06:56,131][pytorch][INFO] - + Saving no weights model pretrained config
15
+ [PROC-0][2024-10-25 13:06:56,131][pytorch][INFO] - + Loading no weights AutoModel
16
+ [PROC-0][2024-10-25 13:06:56,131][pytorch][INFO] - + Loading model directly on device: cuda
17
+ [2024-10-25 13:06:57,114][experiment][ERROR] - Error during experiment
text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/error.log ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Error executing job with overrides: ['backend.model=meta-llama/Llama-3.1-8B-Instruct', 'backend.processor=meta-llama/Llama-3.1-8B-Instruct']
2
+ Traceback (most recent call last):
3
+ File "/optimum-benchmark/optimum_benchmark/cli.py", line 65, in benchmark_cli
4
+ benchmark_report: BenchmarkReport = launch(experiment_config=experiment_config)
5
+ File "/optimum-benchmark/optimum_benchmark/experiment.py", line 102, in launch
6
+ raise error
7
+ File "/optimum-benchmark/optimum_benchmark/experiment.py", line 90, in launch
8
+ report = launcher.launch(run, experiment_config.benchmark, experiment_config.backend)
9
+ File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 47, in launch
10
+ while not process_context.join():
11
+ File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 189, in join
12
+ raise ProcessRaisedException(msg, error_index, failed_process.pid)
13
+ torch.multiprocessing.spawn.ProcessRaisedException:
14
+
15
+ -- Process 0 terminated with the following error:
16
+ Traceback (most recent call last):
17
+ File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
18
+ fn(i, *args)
19
+ File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 63, in entrypoint
20
+ worker_output = worker(*worker_args)
21
+ File "/optimum-benchmark/optimum_benchmark/experiment.py", line 55, in run
22
+ backend: Backend = backend_factory(backend_config)
23
+ File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 81, in __init__
24
+ self.load_model_with_no_weights()
25
+ File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 246, in load_model_with_no_weights
26
+ self.load_model_from_pretrained()
27
+ File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 204, in load_model_from_pretrained
28
+ self.pretrained_model = self.automodel_class.from_pretrained(
29
+ File "/opt/conda/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 564, in from_pretrained
30
+ return model_class.from_pretrained(
31
+ File "/opt/conda/lib/python3.9/site-packages/transformers/modeling_utils.py", line 3810, in from_pretrained
32
+ model = cls(config, *model_args, **model_kwargs)
33
+ File "/opt/conda/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 1116, in __init__
34
+ self.model = LlamaModel(config)
35
+ File "/opt/conda/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 902, in __init__
36
+ [LlamaDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
37
+ File "/opt/conda/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 902, in <listcomp>
38
+ [LlamaDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]
39
+ File "/opt/conda/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 691, in __init__
40
+ self.mlp = LlamaMLP(config)
41
+ File "/opt/conda/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 287, in __init__
42
+ self.up_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=config.mlp_bias)
43
+ File "/opt/conda/lib/python3.9/site-packages/torch/nn/modules/linear.py", line 99, in __init__
44
+ self.weight = Parameter(torch.empty((out_features, in_features), **factory_kwargs))
45
+ File "/opt/conda/lib/python3.9/site-packages/torch/utils/_device.py", line 79, in __torch_function__
46
+ return func(*args, **kwargs)
47
+ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 22.19 GiB of which 69.50 MiB is free. Process 378708 has 22.12 GiB memory in use. Of the allocated memory 21.83 GiB is allocated by PyTorch, and 1.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
48
+
49
+
50
+ Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
text_generation/meta-llama/Llama-3.1-8B-Instruct/2024-10-25-13-06-48/experiment_config.json ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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,
28
+ "to_bettertransformer": false,
29
+ "low_cpu_mem_usage": null,
30
+ "attn_implementation": null,
31
+ "cache_implementation": null,
32
+ "torch_compile": false,
33
+ "torch_compile_config": {},
34
+ "quantization_scheme": null,
35
+ "quantization_config": {},
36
+ "deepspeed_inference": false,
37
+ "deepspeed_inference_config": {},
38
+ "peft_type": null,
39
+ "peft_config": {}
40
+ },
41
+ "launcher": {
42
+ "name": "process",
43
+ "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
44
+ "device_isolation": false,
45
+ "device_isolation_action": "warn",
46
+ "start_method": "spawn"
47
+ },
48
+ "benchmark": {
49
+ "name": "energy_star",
50
+ "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
51
+ "dataset_name": "EnergyStarAI/text_generation",
52
+ "dataset_config": "",
53
+ "dataset_split": "train",
54
+ "num_samples": 1000,
55
+ "input_shapes": {
56
+ "batch_size": 1
57
+ },
58
+ "text_column_name": "text",
59
+ "truncation": true,
60
+ "max_length": -1,
61
+ "dataset_prefix1": "",
62
+ "dataset_prefix2": "",
63
+ "t5_task": "",
64
+ "image_column_name": "image",
65
+ "resize": false,
66
+ "question_column_name": "question",
67
+ "context_column_name": "context",
68
+ "sentence1_column_name": "sentence1",
69
+ "sentence2_column_name": "sentence2",
70
+ "audio_column_name": "audio",
71
+ "iterations": 10,
72
+ "warmup_runs": 10,
73
+ "energy": true,
74
+ "forward_kwargs": {},
75
+ "generate_kwargs": {
76
+ "max_new_tokens": 10,
77
+ "min_new_tokens": 10
78
+ },
79
+ "call_kwargs": {}
80
+ },
81
+ "environment": {
82
+ "cpu": " AMD EPYC 7R32",
83
+ "cpu_count": 48,
84
+ "cpu_ram_mb": 200472.73984,
85
+ "system": "Linux",
86
+ "machine": "x86_64",
87
+ "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
88
+ "processor": "x86_64",
89
+ "python_version": "3.9.20",
90
+ "gpu": [
91
+ "NVIDIA A10G"
92
+ ],
93
+ "gpu_count": 1,
94
+ "gpu_vram_mb": 24146608128,
95
+ "optimum_benchmark_version": "0.2.0",
96
+ "optimum_benchmark_commit": null,
97
+ "transformers_version": "4.44.0",
98
+ "transformers_commit": null,
99
+ "accelerate_version": "0.33.0",
100
+ "accelerate_commit": null,
101
+ "diffusers_version": "0.30.0",
102
+ "diffusers_commit": null,
103
+ "optimum_version": null,
104
+ "optimum_commit": null,
105
+ "timm_version": null,
106
+ "timm_commit": null,
107
+ "peft_version": null,
108
+ "peft_commit": null
109
+ }
110
+ }