cuda_inference_pytorch_diffusers/multirun.yaml

hydra:
  run:
    dir: runs/${name}
  sweep:
    dir: sweeps/${name}
    subdir: ${hydra.job.override_dirname}
  launcher:
    _target_: hydra_plugins.hydra_joblib_launcher.joblib_launcher.JoblibLauncher
    n_jobs: -1
    backend: null
    prefer: threads
    require: null
    verbose: 0
    timeout: null
    pre_dispatch: 2*n_jobs
    batch_size: '1'
    temp_folder: null
    max_nbytes: null
    mmap_mode: r
  sweeper:
    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
    max_batch_size: null
    params:
      backend.library: diffusers
      backend.task: text-to-image
      backend.model: hf-internal-testing/tiny-stable-diffusion-torch
  help:
    app_name: ${hydra.job.name}
    header: '${hydra.help.app_name} is powered by Hydra.

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

      Use --hydra-help to view Hydra specific help

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

      == Configuration groups ==

      Compose your configuration from those groups (group=option)


      $APP_CONFIG_GROUPS


      == Config ==

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


      $CONFIG


      ${hydra.help.footer}

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

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


      == Flags ==

      $FLAGS_HELP


      == Configuration groups ==

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


      $HYDRA_CONFIG_GROUPS


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

      '
    hydra_help: ???
  hydra_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][HYDRA] %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
    root:
      level: INFO
      handlers:
      - console
    loggers:
      logging_example:
        level: DEBUG
    disable_existing_loggers: false
  job_logging:
    version: 1
    formatters:
      simple:
        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
    handlers:
      console:
        class: logging.StreamHandler
        formatter: simple
        stream: ext://sys.stdout
      file:
        class: logging.FileHandler
        formatter: simple
        filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
    root:
      level: INFO
      handlers:
      - console
      - file
    disable_existing_loggers: false
  env: {}
  mode: MULTIRUN
  searchpath: []
  callbacks: {}
  output_subdir: .hydra
  overrides:
    hydra:
    - hydra/launcher=joblib
    - hydra.launcher.n_jobs=-1
    - hydra.launcher.batch_size=1
    - hydra.launcher.prefer=threads
    task: []
  job:
    name: cli
    chdir: true
    override_dirname: ''
    id: ???
    num: ???
    config_name: cuda_inference_pytorch_diffusers
    env_set:
      OVERRIDE_BENCHMARKS: '1'
    env_copy: []
    config:
      override_dirname:
        kv_sep: '='
        item_sep: ','
        exclude_keys: []
  runtime:
    version: 1.3.2
    version_base: '1.3'
    cwd: /home/user01/optimum-benchmark
    config_sources:
    - path: hydra.conf
      schema: pkg
      provider: hydra
    - path: optimum_benchmark
      schema: pkg
      provider: main
    - path: /home/user01/optimum-benchmark/tests/configs
      schema: file
      provider: command-line
    - path: ''
      schema: structured
      provider: schema
    output_dir: ???
    choices:
      scenario: inference
      launcher: process
      backend: pytorch
      hydra/env: default
      hydra/callbacks: null
      hydra/job_logging: default
      hydra/hydra_logging: default
      hydra/hydra_help: default
      hydra/help: default
      hydra/sweeper: basic
      hydra/launcher: joblib
      hydra/output: default
  verbose: false
name: cuda_inference_pytorch_diffusers
backend:
  name: pytorch
  version: 2.8.0
  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
  model: null
  processor: null
  task: null
  library: null
  model_type: null
  device: cuda
  device_ids: '0'
  seed: 42
  inter_op_num_threads: null
  intra_op_num_threads: null
  model_kwargs: {}
  processor_kwargs: {}
  no_weights: false
  tp_plan: null
  device_map: null
  torch_dtype: null
  eval_mode: true
  to_bettertransformer: false
  low_cpu_mem_usage: null
  attn_implementation: null
  cache_implementation: null
  allow_tf32: false
  autocast_enabled: false
  autocast_dtype: null
  torch_compile: false
  torch_compile_target: forward
  torch_compile_config: {}
  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: 1
  duration: 1
  warmup_runs: 1
  input_shapes:
    batch_size: 1
    sequence_length: 16
  new_tokens: null
  memory: true
  latency: true
  energy: false
  forward_kwargs: {}
  generate_kwargs:
    max_new_tokens: 16
    min_new_tokens: 16
  call_kwargs:
    num_inference_steps: 4
launcher:
  name: process
  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
  device_isolation: true
  device_isolation_action: warn
  numactl: false
  numactl_kwargs: {}
  start_method: spawn
environment:
  cpu: ' Intel(R) Xeon(R) Platinum 8480C'
  cpu_count: 224
  cpu_ram_mb: 2164176.613376
  system: Linux
  machine: x86_64
  platform: Linux-6.8.0-87-generic-x86_64-with-glibc2.39
  processor: x86_64
  python_version: 3.12.13
  gpu:
  - NVIDIA H800
  - NVIDIA H800
  - NVIDIA H800
  - NVIDIA H800
  - NVIDIA H800
  - NVIDIA H800
  - NVIDIA H800
  - NVIDIA H800
  gpu_count: 8
  gpu_vram_mb: 684166479872
  optimum_benchmark_version: 0.6.0
  optimum_benchmark_commit: 7fa7b6797d7eb7c132a0b3c249cf63e95510db31
  transformers_version: 4.57.6
  transformers_commit: 7fa7b6797d7eb7c132a0b3c249cf63e95510db31
  accelerate_version: 1.13.0
  accelerate_commit: 7fa7b6797d7eb7c132a0b3c249cf63e95510db31
  diffusers_version: null
  diffusers_commit: null
  optimum_version: null
  optimum_commit: null
  timm_version: 1.0.25
  timm_commit: 7fa7b6797d7eb7c132a0b3c249cf63e95510db31
  peft_version: 0.18.1
  peft_commit: 7fa7b6797d7eb7c132a0b3c249cf63e95510db31
print_report: true
log_report: true