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unit: def fp32_to_fp16()
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file: torchbenchmark/models/tacotron2/audio_processing.py
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file: torchbenchmark/models/speech_transformer/config.py
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file: torchbenchmark/models/speech_transformer/speech_transformer/transformer/attention.py
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file: torchbenchmark/models/speech_transformer/speech_transformer/transformer/loss.py
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file: torchbenchmark/models/speech_transformer/speech_transformer/data/data.py
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file: torchbenchmark/score/compute_score_v2.py
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file: fx_profile.py
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file: bisection.py
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file: torchbenchmark/util/torchtext_legacy/vocab.py
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file: torchbenchmark/util/torchtext_legacy/data.py
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file: torchbenchmark/util/framework/vision/model_factory.py
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file: torchbenchmark/util/framework/timm/model_factory.py
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file: torchbenchmark/util/extra_args.py
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file: torchbenchmark/util/extra_args.py
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file: torchbenchmark/util/machine_config.py
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file: torchbenchmark/util/gitutils.py
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id: 1426
unit: def save_model()
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unit: def forward()
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id: 1430
unit: def log_training()
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id: 1433
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id: 1435
unit: def load_filepaths_and_text()
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id: 1436
unit: def batchnorm_to_float()
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unit: def warm_start_model()
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id: 1438
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unit: def transliteration_cleaners()
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id: 1443
unit: def _get_pronunciation()
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id: 1447
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file: torchbenchmark/models/speech_transformer/speech_transformer/transformer/transformer.py
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id: 1448
unit: def _update_lr()
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id: 1450
unit: def forward()
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unit: def __init__()
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id: 1452
unit: def get_attn_key_pad_mask()
file: torchbenchmark/models/speech_transformer/speech_transformer/utils/utils.py
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id: 1454
unit: def compute_score()
file: torchbenchmark/score/compute_score_v0.py
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id: 1455
unit: def time_cpu()
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id: 1456
unit: def run_test()
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id: 1457
unit: def get_dump_filename()
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id: 1458
unit: def get_pkg_versions()
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unit: def _test_https()
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id: 1460
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id: 1462
unit: def get_n_prior_nightly_wheels()
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id: 1463
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unit: def update_repos()
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file: torchbenchmark/util/torchtext_legacy/field.py
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unit: def __setstate__()
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unit: def add_before()
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id: 1471
unit: def add_after()
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id: 1474
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unit: def __init__()
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id: 1885
unit: def get_option_setter()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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id: 1890
unit: def get_module()
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id: 1891
unit: def enable_amp()
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id: 1892
unit: def train()
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id: 1893
unit: def __init__()
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id: 1894
unit: def _calc_cr()
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id: 1895
unit: def jit_callback()
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id: 1896
unit: def train()
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id: 1897
unit: def observation()
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unit: def __init__()
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id: 1899
unit: def __init__()
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id: 1900
unit: def _get_obs()
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id: 1901
unit: def add_gym_args()
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id: 1902
unit: def soft_update()
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id: 1903
unit: def hard_update()
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id: 1904
unit: def current_sigma()
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id: 1905
unit: def __init__()
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id: 1906
unit: def __init__()
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id: 1907
unit: def get_module()
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id: 1908
unit: def test_train()
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id: 1909
unit: def _move_model_to_device()
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id: 1910
unit: def _compute_loss()
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id: 1911
unit: def _dump_data()
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id: 1912
unit: def prep_qat_eval()
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id: 1913
unit: def __init__()
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id: 1914
unit: def __init__()
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id: 1915
unit: def collate_filter_none()
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id: 1916
unit: def crop_holes()
file: torchbenchmark/models/Background_Matting/data_loader.py
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number of parameters: 4

id: 1917
unit: def collate_filter_none()
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id: 1918
unit: def _collate_filter_none()
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id: 1919
unit: def forward()
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id: 1920
unit: def forward()
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id: 1921
unit: def forward()
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id: 1922
unit: def forward()
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id: 1923
unit: def forward()
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unit: def __init__()
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id: 1925
unit: def forward()
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id: 1926
unit: def update_total_pbar()
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id: 1927
unit: def pip_install_requirements()
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id: 1928
unit: def __init__()
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id: 1929
unit: def __init__()
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id: 1930
unit: def create()
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number of parameters: 5

id: 1931
unit: def forward()
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number of parameters: 4

id: 1932
unit: def reset_parameters()
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number of parameters: 1

id: 1933
unit: def get_lr()
file: torchbenchmark/models/Super_SloMo/train.py
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number of parameters: 1

id: 1934
unit: def mkdir_if_needed()
file: torchbenchmark/models/attention_is_all_you_need_pytorch/preprocess.py
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id: 1935
unit: def __init__()
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number of parameters: 3

id: 1936
unit: def zero_grad()
file: torchbenchmark/models/attention_is_all_you_need_pytorch/transformer/Optim.py
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id: 1937
unit: def get_module()
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id: 1938
unit: def segment()
file: torchbenchmark/models/attention_is_all_you_need_pytorch/apply_bpe.py
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number of parameters: 3

id: 1939
unit: def patch_src()
file: torchbenchmark/models/attention_is_all_you_need_pytorch/train.py
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number of parameters: 2

id: 1940
unit: def preprocess()
file: torchbenchmark/models/attention_is_all_you_need_pytorch/install.py
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id: 1941
unit: def get_done()
file: torchbenchmark/models/demucs/dora.py
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id: 1942
unit: def get_musdb_tracks()
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number of parameters: 3

id: 1943
unit: def forward()
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number of parameters: 2

id: 1944
unit: def __init__()
file: torchbenchmark/models/demucs/demucs/tasnet.py
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number of parameters: 2

id: 1945
unit: def reset_parameters()
file: torchbenchmark/models/demucs/demucs/tasnet.py
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number of parameters: 1

id: 1946
unit: def reset_parameters()
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number of parameters: 1

id: 1947
unit: def __init__()
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id: 1948
unit: def __init__()
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id: 1949
unit: def __init__()
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id: 1950
unit: def __iter__()
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id: 1951
unit: def __iter__()
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id: 1952
unit: def __iter__()
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id: 1953
unit: def check_file()
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number of parameters: 1

id: 1954
unit: def get_yolo_layers()
file: torchbenchmark/models/yolov3/yolo_utils/utils.py
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size: 3 LOC
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number of parameters: 1

id: 1955
unit: def fitness()
file: torchbenchmark/models/yolov3/yolo_utils/utils.py
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number of parameters: 1

id: 1956
unit: def __init__()
file: torchbenchmark/models/yolov3/yolo_utils/layers.py
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number of parameters: 2

id: 1957
unit: def forward()
file: torchbenchmark/models/yolov3/yolo_utils/layers.py
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id: 1958
unit: def forward()
file: torchbenchmark/models/yolov3/yolo_utils/layers.py
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number of parameters: 2

id: 1959
unit: def time_synchronized()
file: torchbenchmark/models/yolov3/yolo_utils/torch_utils.py
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number of parameters: 0

id: 1960
unit: def __init__()
file: torchbenchmark/models/tts_angular/angular_tts_main.py
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number of parameters: 3

id: 1961
unit: def eval()
file: torchbenchmark/models/tts_angular/angular_tts_main.py
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number of parameters: 1

id: 1962
unit: def forward()
file: torchbenchmark/models/tts_angular/model.py
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id: 1963
unit: def __init__()
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id: 1964
unit: def __init__()
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id: 1965
unit: def load_vocab()
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id: 1966
unit: def save_vocab()
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number of parameters: 2

id: 1967
unit: def load_vocab()
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id: 1968
unit: def forward()
file: torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py
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number of parameters: 3

id: 1969
unit: def __init__()
file: torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py
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number of parameters: 2

id: 1970
unit: def forward()
file: torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py
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number of parameters: 3

id: 1971
unit: def forward()
file: torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py
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size: 3 LOC
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number of parameters: 3

id: 1972
unit: def zero_grad()
file: torchbenchmark/models/BERT_pytorch/bert_pytorch/trainer/optim_schedule.py
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number of parameters: 1

id: 1973
unit: def build_tensorboard()
file: torchbenchmark/models/pytorch_stargan/solver.py
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size: 3 LOC
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number of parameters: 1

id: 1974
unit: def reset_grad()
file: torchbenchmark/models/pytorch_stargan/solver.py
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number of parameters: 1

id: 1975
unit: def denorm()
file: torchbenchmark/models/pytorch_stargan/solver.py
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size: 3 LOC
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number of parameters: 2

id: 1976
unit: def generate_example_inputs()
file: torchbenchmark/models/pytorch_stargan/__init__.py
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size: 3 LOC
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number of parameters: 1

id: 1977
unit: def train()
file: torchbenchmark/models/pytorch_stargan/__init__.py
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size: 3 LOC
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number of parameters: 2

id: 1978
unit: def scalar_summary()
file: torchbenchmark/models/pytorch_stargan/logger.py
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size: 3 LOC
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number of parameters: 4

id: 1979
unit: def __str__()
file: torchbenchmark/models/moco/main_moco.py
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size: 3 LOC
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number of parameters: 1

id: 1980
unit: def _momentum_update_key_encoder()
file: torchbenchmark/models/moco/moco/builder.py
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size: 3 LOC
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number of parameters: 1

id: 1981
unit: def __str__()
file: torchbenchmark/models/moco/main_lincls.py
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number of parameters: 1

id: 1982
unit: def forward()
file: torchbenchmark/models/LearningToPaint/baseline_modelfree/DRL/wgan.py
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number of parameters: 2

id: 1983
unit: def reset()
file: torchbenchmark/models/LearningToPaint/baseline_modelfree/DRL/ddpg.py
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number of parameters: 3

id: 1984
unit: def forward()
file: torchbenchmark/models/LearningToPaint/baseline_modelfree/DRL/critic.py
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number of parameters: 2

id: 1985
unit: def add_scalar()
file: torchbenchmark/models/LearningToPaint/baseline_modelfree/utils/tensorboard.py
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number of parameters: 4

id: 1986
unit: def forward()
file: torchbenchmark/models/LearningToPaint/baseline/DRL/wgan.py
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number of parameters: 2

id: 1987
unit: def reset()
file: torchbenchmark/models/LearningToPaint/baseline/DRL/ddpg.py
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number of parameters: 3

id: 1988
unit: def forward()
file: torchbenchmark/models/LearningToPaint/baseline/DRL/critic.py
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size: 3 LOC
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number of parameters: 2

id: 1989
unit: def add_scalar()
file: torchbenchmark/models/LearningToPaint/baseline/utils/tensorboard.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1990
unit: def __init__()
file: torchbenchmark/models/alexnet/__init__.py
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size: 3 LOC
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number of parameters: 6

id: 1991
unit: def __init__()
file: torchbenchmark/models/timm_vovnet/__init__.py
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size: 3 LOC
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number of parameters: 6

id: 1992
unit: def __init__()
file: torchbenchmark/models/tacotron2/waveglow/glow.py
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size: 3 LOC
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number of parameters: 2

id: 1993
unit: def load_wav_to_torch()
file: torchbenchmark/models/tacotron2/waveglow/mel2samp.py
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size: 3 LOC
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number of parameters: 1

id: 1994
unit: def __init__()
file: torchbenchmark/models/tacotron2/waveglow/tacotron2/fp16_optimizer.py
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number of parameters: 2

id: 1995
unit: def parse_input()
file: torchbenchmark/models/tacotron2/waveglow/tacotron2/model.py
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