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unit: def prefill()
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unit: def generate()
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unit: def load_model_from_pretrained()
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unit: def train()
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unit: def load_ovmodel_from_pretrained()
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unit: def warmup_text_generation()
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unit: def warmup_image_diffusion()
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unit: def dataset_decode_volume()
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unit: def overall_volume()
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unit: def warmup_volume()
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unit: def train_volume()
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unit: def warmup_image_diffusion()
file: optimum_benchmark/scenarios/inference/scenario.py
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unit: def warmup_inference()
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unit: def labels()
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unit: def __call__()
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unit: def feature_extraction_preprocessing()
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unit: def summarization_preprocessing()
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unit: def text_classification_preprocessing()
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unit: def question_answering_preprocessing()
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id: 281
unit: def text2text_generation_preprocessing()
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unit: def add_single_prefix()
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unit: def text_generation_preprocessing()
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unit: def image_preprocessing()
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unit: def image_to_text_preprocessing()
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unit: def automatic_speech_recognition_preprocessing()
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unit: def sentence_similarity_preprocessing()
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unit: def reset()
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unit: def get_energy()
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unit: def load_model_from_pretrained()
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unit: def prefill()
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unit: def generate()
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unit: def get_transformers_generation_config()
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unit: def extract_diffusers_shapes_from_model()
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unit: def prepare_inputs()
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unit: def validate_execution_provider()
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unit: def apply_peft()
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unit: def load_model_from_pretrained()
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unit: def load_transformers_model_with_no_weights()
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unit: def load_timm_model_form_pretrained()
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unit: def is_gptq_quantized()
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unit: def is_bnb_quantized()
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unit: def prefill()
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unit: def is_hf_hub_repo()
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unit: def infer_library_from_model_name_or_path()
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unit: def dataset_call_volume()
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unit: def run_image_diffusion_memory_tracking()
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unit: def run_inference_memory_tracking()
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unit: def to_dict()
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unit: def get_socket_ifname()
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id: 376
unit: def save_json()
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id: 377
unit: def to_dataframe()
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id: 378
unit: def sync_with_parent()
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unit: def sync_with_child()
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unit: def isolation_error_signal_handler()
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unit: def launch()
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unit: def dummy_target()
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unit: def __init__()
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unit: def generate_constant_integers()
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unit: def generate_constant_floats()
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id: 386
unit: def generate_random_integers()
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unit: def generate_random_floats()
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id: 388
unit: def generate_ranges()
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unit: def __call__()
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unit: def requires_token_type_ids()
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unit: def preprocess_function()
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id: 392
unit: def preprocess_function()
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id: 393
unit: def print()
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unit: def from_energy()
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unit: def print()
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unit: def print()
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unit: def print()
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unit: def print()
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id: 399
unit: def default_filename()
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unit: def print()
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unit: def from_list()
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unit: def default_filename()
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id: 405
unit: def default_filename()
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id: 406
unit: def get_transformers_pretrained_config()
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id: 407
unit: def fast_random_tensor()
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id: 408
unit: def split_between_processes()
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id: 409
unit: def forward()
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id: 410
unit: def prefill()
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unit: def generate()
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id: 412
unit: def call()
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id: 413
unit: def is_optimized()
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id: 414
unit: def is_quantized()
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id: 415
unit: def is_calibrated()
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id: 416
unit: def split_between_processes()
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id: 417
unit: def forward()
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id: 418
unit: def prefill()
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unit: def generate()
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id: 420
unit: def call()
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unit: def seed()
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id: 422
unit: def prepare_inputs()
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unit: def load()
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unit: def forward()
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unit: def prefill()
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unit: def generate()
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unit: def call()
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id: 428
unit: def train()
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id: 429
unit: def __init__()
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unit: def forward()
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unit: def __init__()
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unit: def forward()
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unit: def forward()
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unit: def generate()
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unit: def call()
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unit: def split_between_processes()
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unit: def forward()
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unit: def prefill()
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unit: def call()
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id: 441
unit: def is_vllm_available()
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id: 442
unit: def is_llama_cpp_available()
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id: 443
unit: def is_zentorch_available()
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id: 444
unit: def is_llm_swarm_available()
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id: 445
unit: def is_pyrsmi_available()
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id: 446
unit: def is_py_txi_available()
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id: 447
unit: def is_psutil_available()
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id: 448
unit: def is_transformers_available()
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id: 449
unit: def is_tensorrt_llm_available()
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id: 450
unit: def is_deepspeed_available()
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id: 451
unit: def is_torch_ort_available()
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id: 452
unit: def is_accelerate_available()
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id: 453
unit: def is_diffusers_available()
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id: 454
unit: def is_timm_available()
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id: 455
unit: def is_tensorflow_available()
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unit: def is_tensorrt_available()
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unit: def is_onnx_available()
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id: 459
unit: def is_optimum_available()
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id: 460
unit: def is_onnxruntime_available()
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id: 461
unit: def is_pynvml_available()
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id: 462
unit: def is_amdsmi_available()
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id: 463
unit: def is_torch_available()
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id: 464
unit: def is_torch_distributed_available()
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id: 465
unit: def is_codecarbon_available()
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id: 466
unit: def is_gptqmodel_available()
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id: 467
unit: def __call__()
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id: 468
unit: def run()
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id: 469
unit: def get_profiling_records()
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id: 470
unit: def is_local_dir_repo()
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id: 471
unit: def __post_init__()
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id: 472
unit: def __init__()
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id: 473
unit: def dataset_preprocess_volume()
file: optimum_benchmark/scenarios/energy_star/scenario.py
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id: 474
unit: def dataset_forward_volume()
file: optimum_benchmark/scenarios/energy_star/scenario.py
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id: 475
unit: def dataset_prefill_volume()
file: optimum_benchmark/scenarios/energy_star/scenario.py
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id: 476
unit: def __init__()
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id: 477
unit: def run()
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id: 478
unit: def __init__()
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id: 479
unit: def atomic_forward_volume()
file: optimum_benchmark/scenarios/inference/scenario.py
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id: 480
unit: def atomic_generate_volume()
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id: 481
unit: def atomic_prefill_volume()
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id: 482
unit: def __init__()
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id: 483
unit: def __get__()
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id: 484
unit: def from_dict()
file: optimum_benchmark/hub_utils.py
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id: 485
unit: def save_csv()
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id: 486
unit: def from_csv()
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id: 487
unit: def push_to_hub()
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id: 488
unit: def from_pretrained()
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id: 489
unit: def default_filename()
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id: 490
unit: def default_subfolder()
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number of parameters: 1

id: 491
unit: def get_cpu_ram_mb()
file: optimum_benchmark/system_utils.py
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id: 492
unit: def is_nvidia_system()
file: optimum_benchmark/system_utils.py
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id: 493
unit: def is_rocm_system()
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