hydra:
  run:
    dir: _benchmark/tmpyph4ye2g/commit=a51a3fbc4827db26e896292b6409246fe8152cd4/${hydra.job.override_dirname}
  sweep:
    dir: _benchmark/tmpyph4ye2g/commit=a51a3fbc4827db26e896292b6409246fe8152cd4
    subdir: ${hydra.job.override_dirname}
  launcher:
    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params: null
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

      '
    footer: 'Powered by Hydra (https://hydra.cc)

      Use --hydra-help to view Hydra specific help

      '
    template: '${hydra.help.header}

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

      Override anything in the config (foo.bar=value)


      $CONFIG


      ${hydra.help.footer}

      '
  hydra_help:
    template: 'Hydra (${hydra.runtime.version})

      See https://hydra.cc for more info.


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
      to command line)


      $HYDRA_CONFIG_GROUPS


      Use ''--cfg hydra'' to Show the Hydra config.

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    root:
      level: ERROR
    disable_existing_loggers: true
  job_logging:
    version: 1
    root:
      level: ERROR
    disable_existing_loggers: true
  env: {}
  mode: MULTIRUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra/job_logging=disabled
    - hydra/hydra_logging=disabled
    - hydra.sweep.dir=_benchmark/tmpyph4ye2g/commit\=a51a3fbc4827db26e896292b6409246fe8152cd4
    - hydra.run.dir=_benchmark/tmpyph4ye2g/commit\=a51a3fbc4827db26e896292b6409246fe8152cd4/${hydra.job.override_dirname}
    - hydra.mode=MULTIRUN
    task:
    - backend.model=google/gemma-2b
    - backend.cache_implementation=null,static
    - backend.torch_compile=false,true
  job:
    name: cli
    chdir: true
    override_dirname: backend.cache_implementation=null,static,backend.model=google/gemma-2b,backend.torch_compile=false,true
    id: ???
    num: ???
    config_name: generation
    env_set:
      OVERRIDE_BENCHMARKS: '1'
      LOG_LEVEL: WARN
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /transformers
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: optimum_benchmark
      schema: pkg
      provider: main
    - path: /transformers/benchmark/config
      schema: file
      provider: command-line
    - path: ''
      schema: structured
      provider: schema
    output_dir: ???
    choices:
      backend: pytorch
      launcher: process
      scenario: inference
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: disabled
      hydra/hydra_logging: disabled
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: basic
      hydra/output: default
  verbose: false
name: pytorch_generate
backend:
  name: pytorch
  version: 2.3.0+cu121
  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
  task: null
  library: null
  model: google/gemma-2b
  processor: null
  device: cuda
  device_ids: '0'
  seed: 42
  inter_op_num_threads: null
  intra_op_num_threads: null
  model_kwargs: {}
  processor_kwargs: {}
  hub_kwargs: {}
  no_weights: true
  device_map: null
  torch_dtype: float16
  eval_mode: true
  to_bettertransformer: false
  low_cpu_mem_usage: null
  attn_implementation: null
  cache_implementation: static
  autocast_enabled: false
  autocast_dtype: null
  torch_compile: true
  torch_compile_target: forward
  torch_compile_config:
    backend: inductor
    mode: reduce-overhead
    fullgraph: true
  quantization_scheme: null
  quantization_config: {}
  deepspeed_inference: false
  deepspeed_inference_config: {}
  peft_type: null
  peft_config: {}
scenario:
  name: inference
  _target_: optimum_benchmark.scenarios.inference.scenario.InferenceScenario
  iterations: 2
  duration: 0
  warmup_runs: 10
  input_shapes:
    batch_size: 1
    sequence_length: 7
  new_tokens: null
  latency: true
  memory: true
  energy: false
  forward_kwargs: {}
  generate_kwargs:
    max_new_tokens: 128
    min_new_tokens: 128
    do_sample: false
  call_kwargs: {}
launcher:
  name: process
  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
  device_isolation: true
  device_isolation_action: warn
  start_method: spawn
environment:
  cpu: ' AMD EPYC 7R32'
  cpu_count: 16
  cpu_ram_mb: 66697.29792
  system: Linux
  machine: x86_64
  platform: Linux-5.10.216-204.855.amzn2.x86_64-x86_64-with-glibc2.29
  processor: x86_64
  python_version: 3.8.10
  gpu:
  - NVIDIA A10G
  gpu_count: 1
  gpu_vram_mb: 24146608128
  optimum_benchmark_version: 0.2.1
  optimum_benchmark_commit: null
  transformers_version: 4.42.0.dev0
  transformers_commit: a51a3fbc4827db26e896292b6409246fe8152cd4
  accelerate_version: 0.31.0.dev0
  accelerate_commit: null
  diffusers_version: null
  diffusers_commit: null
  optimum_version: 1.21.0.dev0
  optimum_commit: null
  timm_version: 0.9.16
  timm_commit: null
  peft_version: 0.11.2.dev0
  peft_commit: null