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runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.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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+ model: HuggingFaceTB/SmolLM-135M
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+ processor: HuggingFaceTB/SmolLM-135M
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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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+ 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
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+ device_isolation_action: warn
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+ start_method: spawn
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+ benchmark:
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+ name: energy_star
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+ _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
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+ dataset_name: EnergyStarAI/text_generation
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+ dataset_config: ''
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+ dataset_split: train
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+ num_samples: 1000
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+ input_shapes:
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+ batch_size: 1
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+ text_column_name: text
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+ truncation: true
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+ max_length: -1
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+ dataset_prefix1: ''
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+ dataset_prefix2: ''
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+ t5_task: ''
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+ image_column_name: image
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+ 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
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+ 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:
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+ 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_vram_mb: 24146608128
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+ transformers_commit: null
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+ accelerate_version: 0.33.0
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+ diffusers_version: 0.30.0
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+ timm_commit: null
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+ peft_version: null
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+ peft_commit: null
runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/hydra.yaml ADDED
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+ hydra:
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+ run:
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+ dir: ./runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
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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
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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)
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+
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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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+ root:
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+ - console
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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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+ 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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+ mode: RUN
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+ callbacks: {}
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+ overrides:
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+ - hydra.run.dir=./runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
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+ - hydra.mode=RUN
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+ task:
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+ - backend.model=HuggingFaceTB/SmolLM-135M
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+ - backend.processor=HuggingFaceTB/SmolLM-135M
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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=HuggingFaceTB/SmolLM-135M,backend.processor=HuggingFaceTB/SmolLM-135M
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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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+ env_copy: []
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+ cwd: /
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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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+ schema: structured
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+ provider: schema
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+ output_dir: /runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
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+ choices:
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+ benchmark: energy_star
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+ launcher: process
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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
runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/overrides.yaml ADDED
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+ - backend.model=HuggingFaceTB/SmolLM-135M
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+ - backend.processor=HuggingFaceTB/SmolLM-135M
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runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/cli.log ADDED
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+ [2024-10-23 19:09:18,036][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-23 19:09:18,036][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-23 19:09:18,048][process][INFO] - + Launched benchmark in isolated process 200.
4
+ [PROC-0][2024-10-23 19:09:20,588][datasets][INFO] - PyTorch version 2.4.0 available.
5
+ [PROC-0][2024-10-23 19:09:21,586][backend][INFO] - َAllocating pytorch backend
6
+ [PROC-0][2024-10-23 19:09:21,586][backend][INFO] - + Setting random seed to 42
7
+ [PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
8
+ [PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - + Creating backend temporary directory
9
+ [PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - + Loading model with random weights
10
+ [PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - + Creating no weights model
11
+ [PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - + Creating no weights model directory
12
+ [PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - + Creating no weights model state dict
13
+ [PROC-0][2024-10-23 19:09:22,362][pytorch][INFO] - + Saving no weights model safetensors
14
+ [PROC-0][2024-10-23 19:09:22,362][pytorch][INFO] - + Saving no weights model pretrained config
15
+ [PROC-0][2024-10-23 19:09:22,363][pytorch][INFO] - + Loading no weights AutoModel
16
+ [PROC-0][2024-10-23 19:09:22,363][pytorch][INFO] - + Loading model directly on device: cuda
17
+ [PROC-0][2024-10-23 19:09:22,632][pytorch][INFO] - + Turning on model's eval mode
18
+ [PROC-0][2024-10-23 19:09:22,639][benchmark][INFO] - Allocating energy_star benchmark
19
+ [PROC-0][2024-10-23 19:09:22,639][energy_star][INFO] - + Loading raw dataset
20
+ [PROC-0][2024-10-23 19:09:23,925][energy_star][INFO] - + Updating Text Generation kwargs with default values
21
+ [PROC-0][2024-10-23 19:09:23,925][energy_star][INFO] - + Initializing Text Generation report
22
+ [PROC-0][2024-10-23 19:09:23,925][energy][INFO] - + Tracking GPU energy on devices [0]
23
+ [PROC-0][2024-10-23 19:09:28,124][energy_star][INFO] - + Preprocessing dataset
24
+ [PROC-0][2024-10-23 19:09:29,033][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
25
+ [PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - + Preparing backend for Inference
26
+ [PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - + Initialising dataloader
27
+ [PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - + Warming up backend for Inference
28
+ [PROC-0][2024-10-23 19:09:30,243][energy_star][INFO] - + Additional warmup for Text Generation
29
+ [PROC-0][2024-10-23 19:09:30,452][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
30
+ [PROC-0][2024-10-23 19:09:30,452][energy_star][INFO] - + Prefill iteration 1/10
31
+ [PROC-0][2024-10-23 19:09:56,997][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
32
+ [PROC-0][2024-10-23 19:09:56,997][energy_star][INFO] - + Prefill iteration 2/10
33
+ [PROC-0][2024-10-23 19:10:23,590][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
34
+ [PROC-0][2024-10-23 19:10:23,590][energy_star][INFO] - + Prefill iteration 3/10
35
+ [PROC-0][2024-10-23 19:10:50,351][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
36
+ [PROC-0][2024-10-23 19:10:50,352][energy_star][INFO] - + Prefill iteration 4/10
37
+ [PROC-0][2024-10-23 19:11:17,042][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
38
+ [PROC-0][2024-10-23 19:11:17,043][energy_star][INFO] - + Prefill iteration 5/10
39
+ [PROC-0][2024-10-23 19:11:43,675][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
40
+ [PROC-0][2024-10-23 19:11:43,676][energy_star][INFO] - + Prefill iteration 6/10
41
+ [PROC-0][2024-10-23 19:12:10,324][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
42
+ [PROC-0][2024-10-23 19:12:10,324][energy_star][INFO] - + Prefill iteration 7/10
43
+ [PROC-0][2024-10-23 19:12:36,878][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
44
+ [PROC-0][2024-10-23 19:12:36,878][energy_star][INFO] - + Prefill iteration 8/10
45
+ [PROC-0][2024-10-23 19:13:03,366][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
46
+ [PROC-0][2024-10-23 19:13:03,367][energy_star][INFO] - + Prefill iteration 9/10
47
+ [PROC-0][2024-10-23 19:13:29,522][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
48
+ [PROC-0][2024-10-23 19:13:29,523][energy_star][INFO] - + Prefill iteration 10/10
49
+ [PROC-0][2024-10-23 19:13:56,027][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
50
+ [PROC-0][2024-10-23 19:13:56,027][energy_star][INFO] - + Decoding iteration 1/10
51
+ [PROC-0][2024-10-23 19:17:31,345][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
52
+ [PROC-0][2024-10-23 19:17:31,345][energy_star][INFO] - + Decoding iteration 2/10
53
+ [PROC-0][2024-10-23 19:21:09,741][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
54
+ [PROC-0][2024-10-23 19:21:09,741][energy_star][INFO] - + Decoding iteration 3/10
55
+ [PROC-0][2024-10-23 19:24:46,291][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
56
+ [PROC-0][2024-10-23 19:24:46,292][energy_star][INFO] - + Decoding iteration 4/10
57
+ [PROC-0][2024-10-23 19:28:21,991][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
58
+ [PROC-0][2024-10-23 19:28:21,991][energy_star][INFO] - + Decoding iteration 5/10
59
+ [PROC-0][2024-10-23 19:31:58,797][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
60
+ [PROC-0][2024-10-23 19:31:58,797][energy_star][INFO] - + Decoding iteration 6/10
61
+ [PROC-0][2024-10-23 19:35:35,503][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
62
+ [PROC-0][2024-10-23 19:35:35,503][energy_star][INFO] - + Decoding iteration 7/10
63
+ [PROC-0][2024-10-23 19:39:11,542][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
64
+ [PROC-0][2024-10-23 19:39:11,543][energy_star][INFO] - + Decoding iteration 8/10
65
+ [PROC-0][2024-10-23 19:42:49,828][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
66
+ [PROC-0][2024-10-23 19:42:49,829][energy_star][INFO] - + Decoding iteration 9/10
67
+ [PROC-0][2024-10-23 19:46:26,323][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
68
+ [PROC-0][2024-10-23 19:46:26,323][energy_star][INFO] - + Decoding iteration 10/10
69
+ [PROC-0][2024-10-23 19:50:03,687][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
70
+ [PROC-0][2024-10-23 19:50:03,688][energy][INFO] - + prefill energy consumption:
71
+ [PROC-0][2024-10-23 19:50:03,688][energy][INFO] - + CPU: 0.000282 (kWh)
72
+ [PROC-0][2024-10-23 19:50:03,688][energy][INFO] - + GPU: 0.001120 (kWh)
73
+ [PROC-0][2024-10-23 19:50:03,688][energy][INFO] - + RAM: 0.000003 (kWh)
74
+ [PROC-0][2024-10-23 19:50:03,688][energy][INFO] - + total: 0.001405 (kWh)
75
+ [PROC-0][2024-10-23 19:50:03,688][energy][INFO] - + prefill_iteration_1 energy consumption:
76
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + CPU: 0.000313 (kWh)
77
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + GPU: 0.001229 (kWh)
78
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + RAM: 0.000003 (kWh)
79
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + total: 0.001545 (kWh)
80
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + prefill_iteration_2 energy consumption:
81
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + CPU: 0.000314 (kWh)
82
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + GPU: 0.001236 (kWh)
83
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + RAM: 0.000003 (kWh)
84
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + total: 0.001553 (kWh)
85
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + prefill_iteration_3 energy consumption:
86
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + CPU: 0.000316 (kWh)
87
+ [PROC-0][2024-10-23 19:50:03,689][energy][INFO] - + GPU: 0.001239 (kWh)
88
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + RAM: 0.000003 (kWh)
89
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + total: 0.001558 (kWh)
90
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + prefill_iteration_4 energy consumption:
91
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + CPU: 0.000315 (kWh)
92
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + GPU: 0.001248 (kWh)
93
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + RAM: 0.000003 (kWh)
94
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + total: 0.001566 (kWh)
95
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + prefill_iteration_5 energy consumption:
96
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + CPU: 0.000314 (kWh)
97
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + GPU: 0.001258 (kWh)
98
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + RAM: 0.000003 (kWh)
99
+ [PROC-0][2024-10-23 19:50:03,690][energy][INFO] - + total: 0.001576 (kWh)
100
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + prefill_iteration_6 energy consumption:
101
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + CPU: 0.000315 (kWh)
102
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + GPU: 0.001257 (kWh)
103
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + RAM: 0.000003 (kWh)
104
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + total: 0.001574 (kWh)
105
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + prefill_iteration_7 energy consumption:
106
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + CPU: 0.000000 (kWh)
107
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + GPU: 0.000000 (kWh)
108
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + RAM: 0.000000 (kWh)
109
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + total: 0.000000 (kWh)
110
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + prefill_iteration_8 energy consumption:
111
+ [PROC-0][2024-10-23 19:50:03,691][energy][INFO] - + CPU: 0.000313 (kWh)
112
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + GPU: 0.001258 (kWh)
113
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + RAM: 0.000003 (kWh)
114
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + total: 0.001574 (kWh)
115
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + prefill_iteration_9 energy consumption:
116
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + CPU: 0.000309 (kWh)
117
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + GPU: 0.001247 (kWh)
118
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + RAM: 0.000003 (kWh)
119
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + total: 0.001559 (kWh)
120
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + prefill_iteration_10 energy consumption:
121
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + CPU: 0.000313 (kWh)
122
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + GPU: 0.001233 (kWh)
123
+ [PROC-0][2024-10-23 19:50:03,692][energy][INFO] - + RAM: 0.000003 (kWh)
124
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + total: 0.001549 (kWh)
125
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + decode energy consumption:
126
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + CPU: 0.002021 (kWh)
127
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + GPU: 0.004045 (kWh)
128
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + RAM: 0.000021 (kWh)
129
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + total: 0.006086 (kWh)
130
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + decode_iteration_1 energy consumption:
131
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + CPU: 0.002229 (kWh)
132
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + GPU: 0.004436 (kWh)
133
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + RAM: 0.000023 (kWh)
134
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + total: 0.006687 (kWh)
135
+ [PROC-0][2024-10-23 19:50:03,693][energy][INFO] - + decode_iteration_2 energy consumption:
136
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + CPU: 0.002264 (kWh)
137
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + GPU: 0.004506 (kWh)
138
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + RAM: 0.000023 (kWh)
139
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + total: 0.006794 (kWh)
140
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + decode_iteration_3 energy consumption:
141
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + CPU: 0.002241 (kWh)
142
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + GPU: 0.004481 (kWh)
143
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + RAM: 0.000023 (kWh)
144
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + total: 0.006744 (kWh)
145
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + decode_iteration_4 energy consumption:
146
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + CPU: 0.002231 (kWh)
147
+ [PROC-0][2024-10-23 19:50:03,694][energy][INFO] - + GPU: 0.004430 (kWh)
148
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + RAM: 0.000023 (kWh)
149
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + total: 0.006684 (kWh)
150
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + decode_iteration_5 energy consumption:
151
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + CPU: -0.000314 (kWh)
152
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + GPU: -0.001258 (kWh)
153
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + RAM: -0.000003 (kWh)
154
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + total: -0.001576 (kWh)
155
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + decode_iteration_6 energy consumption:
156
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + CPU: 0.002244 (kWh)
157
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + GPU: 0.004528 (kWh)
158
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + RAM: 0.000023 (kWh)
159
+ [PROC-0][2024-10-23 19:50:03,695][energy][INFO] - + total: 0.006795 (kWh)
160
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + decode_iteration_7 energy consumption:
161
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + CPU: 0.002550 (kWh)
162
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + GPU: 0.005766 (kWh)
163
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + RAM: 0.000026 (kWh)
164
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + total: 0.008342 (kWh)
165
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + decode_iteration_8 energy consumption:
166
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + CPU: 0.002264 (kWh)
167
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + GPU: 0.004557 (kWh)
168
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + RAM: 0.000023 (kWh)
169
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + total: 0.006844 (kWh)
170
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + decode_iteration_9 energy consumption:
171
+ [PROC-0][2024-10-23 19:50:03,696][energy][INFO] - + CPU: 0.002247 (kWh)
172
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + GPU: 0.004534 (kWh)
173
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + RAM: 0.000023 (kWh)
174
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + total: 0.006804 (kWh)
175
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + decode_iteration_10 energy consumption:
176
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + CPU: 0.002253 (kWh)
177
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + GPU: 0.004470 (kWh)
178
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + RAM: 0.000023 (kWh)
179
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + total: 0.006746 (kWh)
180
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + preprocess energy consumption:
181
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + CPU: 0.000011 (kWh)
182
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + GPU: 0.000018 (kWh)
183
+ [PROC-0][2024-10-23 19:50:03,697][energy][INFO] - + RAM: 0.000000 (kWh)
184
+ [PROC-0][2024-10-23 19:50:03,698][energy][INFO] - + total: 0.000028 (kWh)
185
+ [PROC-0][2024-10-23 19:50:03,698][energy][INFO] - + prefill energy efficiency: 218923397.136495 (tokens/kWh)
186
+ [PROC-0][2024-10-23 19:50:03,698][energy][INFO] - + decode energy efficiency: 1478710.120569 (tokens/kWh)
187
+ [PROC-0][2024-10-23 19:50:03,698][energy][INFO] - + preprocess energy efficiency: 35187752.053421 (samples/kWh)
188
+ [2024-10-23 19:50:04,393][datasets][INFO] - PyTorch version 2.4.0 available.
runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/error.log ADDED
The diff for this file is too large to render. See raw diff
 
runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/experiment_config.json ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "experiment_name": "text_generation",
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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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+ "model": "HuggingFaceTB/SmolLM-135M",
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+ "processor": "HuggingFaceTB/SmolLM-135M",
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+ "library": "transformers",
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+ "device": "cuda",
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+ "device_ids": "0",
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+ "seed": 42,
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+ "attn_implementation": null,
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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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+ },
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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,
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+ "device_isolation_action": "warn",
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+ "start_method": "spawn"
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+ },
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+ "benchmark": {
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+ "name": "energy_star",
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+ "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
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+ "dataset_name": "EnergyStarAI/text_generation",
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+ "dataset_config": "",
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+ "dataset_split": "train",
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+ "num_samples": 1000,
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+ "input_shapes": {
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+ "batch_size": 1
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+ },
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+ "text_column_name": "text",
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+ "truncation": true,
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+ "max_length": -1,
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+ "dataset_prefix1": "",
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+ "dataset_prefix2": "",
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+ "t5_task": "",
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+ "image_column_name": "image",
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+ "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",
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+ "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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