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unit: def remap()
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id: 399
unit: def __setstate__()
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unit: def get_diffusion_models_for_export()
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id: 401
unit: def get_decoder_models_for_export()
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id: 402
unit: def patch_ops()
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unit: def __exit__()
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unit: def __init__()
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id: 413
unit: def nodes_difference_given_type()
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id: 414
unit: def create_model_with_loss()
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unit: def from_pretrained()
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unit: def entropy()
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unit: def forward()
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unit: def __init__()
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unit: def prepare_providers_and_provider_options()
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unit: def outputs()
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unit: def flatten_past_key_values()
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id: 423
unit: def flatten_decoder_past_key_values()
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id: 424
unit: def add_past_key_values()
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id: 425
unit: def flatten_past_key_values()
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id: 426
unit: def get_sam_models_for_export()
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id: 427
unit: def __enter__()
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id: 428
unit: def __exit__()
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id: 429
unit: def use_io_binding()
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id: 430
unit: def register_pass()
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id: 431
unit: def _save_config()
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id: 432
unit: def __init__()
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id: 433
unit: def __init__()
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id: 434
unit: def save_pretrained()
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id: 435
unit: def _generate_regular_names_for_filename()
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id: 436
unit: def get_model_ort_type()
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id: 437
unit: def __init__()
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id: 438
unit: def _save_config()
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id: 439
unit: def _get_onnx_opset()
file: optimum/onnx/transformations_utils.py
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id: 440
unit: def parse_args()
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id: 441
unit: def parse_args()
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id: 442
unit: def parse_args()
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id: 443
unit: def variant()
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id: 444
unit: def fix_dynamic_axes()
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id: 445
unit: def torch_to_onnx_input_map()
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id: 446
unit: def torch_to_onnx_output_map()
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id: 447
unit: def rename_ambiguous_inputs()
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id: 448
unit: def generate_dummy_inputs_for_validation()
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id: 449
unit: def patch_model_for_export()
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id: 450
unit: def overwrite_shape_and_generate_input()
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unit: def generate_dummy_inputs_for_validation()
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id: 452
unit: def generate_dummy_inputs_for_validation()
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id: 453
unit: def from_onnx_config()
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unit: def generate_dummy_inputs_for_validation()
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unit: def torch_to_onnx_input_map()
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unit: def torch_to_onnx_output_map()
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id: 457
unit: def values_override()
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id: 458
unit: def flatten_past_key_values()
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unit: def generate_dummy_inputs_for_validation()
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id: 460
unit: def inputs_for_default_and_seq2seq_lm()
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unit: def torch_to_onnx_input_map()
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unit: def overwrite_shape_and_generate_input()
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id: 472
unit: def overwrite_shape_and_generate_input()
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id: 473
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id: 474
unit: def __init__()
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unit: def get_seq_length()
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id: 476
unit: def get_max_cache_shape()
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id: 477
unit: def inputs()
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id: 478
unit: def flatten_output_collection_property()
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id: 479
unit: def generate_dummy_inputs_for_validation()
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id: 480
unit: def recursive_to_dtype()
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id: 481
unit: def run()
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id: 482
unit: def get_outputs()
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id: 483
unit: def get_inputs()
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id: 485
unit: def get_speecht5_models_for_export()
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id: 486
unit: def get_encoder_decoder_models_for_export()
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id: 487
unit: def _unmask_unattended_patched()
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id: 488
unit: def _unmask_unattended_patched()
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id: 489
unit: def falcon_build_alibi_tensor_patched()
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id: 490
unit: def providers()
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id: 491
unit: def provider()
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id: 492
unit: def provider_options()
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id: 493
unit: def provider_option()
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id: 494
unit: def device()
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id: 495
unit: def dtype()
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id: 496
unit: def use_io_binding()
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id: 497
unit: def _prepare_onnx_inputs()
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id: 498
unit: def _prepare_onnx_outputs()
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id: 499
unit: def __call__()
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id: 500
unit: def __init__()
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unit: def __call__()
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id: 502
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id: 503
unit: def from_config()
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id: 504
unit: def __init__()
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id: 505
unit: def __init__()
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id: 506
unit: def __init__()
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id: 507
unit: def from_pretrained()
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id: 508
unit: def get_nodes_number_difference()
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id: 509
unit: def get_operators_difference()
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id: 510
unit: def forward()
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id: 511
unit: def module()
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id: 512
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id: 513
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id: 514
unit: def minmax()
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id: 515
unit: def use_symmetric_calibration()
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id: 516
unit: def ensure_valid_data_type_or_raise()
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number of parameters: 0

id: 517
unit: def O1()
file: optimum/onnxruntime/configuration.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 518
unit: def O2()
file: optimum/onnxruntime/configuration.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 519
unit: def O3()
file: optimum/onnxruntime/configuration.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 520
unit: def O4()
file: optimum/onnxruntime/configuration.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 521
unit: def get_encoder()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 522
unit: def get_encoder()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 523
unit: def generate()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 524
unit: def prepare_inputs_for_generation()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 525
unit: def _from_pretrained()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 526
unit: def get_encoder()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 527
unit: def get_encoder()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 528
unit: def _reorder_cache()
file: optimum/onnxruntime/modeling_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 529
unit: def decode()
file: optimum/onnxruntime/modeling_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 530
unit: def encode()
file: optimum/onnxruntime/modeling_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 531
unit: def config()
file: optimum/onnxruntime/modeling_diffusion.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 532
unit: def _save_pretrained()
file: optimum/onnxruntime/modeling_ort.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 533
unit: def can_generate()
file: optimum/onnxruntime/modeling_ort.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 534
unit: def is_cupy_available()
file: optimum/onnxruntime/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 0

id: 535
unit: def generate_identified_filename()
file: optimum/onnxruntime/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 536
unit: def wrap_onnx_config_for_loss()
file: optimum/onnxruntime/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 537
unit: def __init__()
file: optimum/onnxruntime/utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 538
unit: def __init__()
file: optimum/onnxruntime/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 539
unit: def _reorder_cache()
file: optimum/onnxruntime/modeling_decoder.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 540
unit: def outputs()
file: optimum/onnx/configuration.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 541
unit: def _find_duplicate_initializers()
file: optimum/onnx/transformations_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 542
unit: def _create_name_sharing_dict()
file: optimum/onnx/transformations_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 543
unit: def _find_matching_initializers()
file: optimum/onnx/transformations_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 544
unit: def remove_duplicate_weights_from_tied_info()
file: optimum/onnx/graph_transformations.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0