id: 1
unit: def main()
file: distributed_training/train_code/pytorch_mnist_smdp.py
start line: 0
end line: 0
size: 135 LOC
McCabe index: 13
number of parameters: 0

id: 2
unit: def train()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 130 LOC
McCabe index: 27
number of parameters: 2

id: 3
unit: def main()
file: distributed_training/train_code/pytorch_mnist.py
start line: 0
end line: 0
size: 127 LOC
McCabe index: 9
number of parameters: 0

id: 4
unit: def args_fn()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 98 LOC
McCabe index: 3
number of parameters: 0

id: 5
unit: def validate()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 63 LOC
McCabe index: 8
number of parameters: 6

id: 6
unit: def smp_savemodel()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 7
number of parameters: 4

id: 7
unit: def _get_train_data_loader()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 42 LOC
McCabe index: 2
number of parameters: 2

id: 8
unit: def plot_roc_curve_multiclass()
file: distributed_training/util/inference_utils.py
start line: 0
end line: 0
size: 41 LOC
McCabe index: 9
number of parameters: 6

id: 9
unit: def plot_pr_curve_multiclass()
file: distributed_training/util/inference_utils.py
start line: 0
end line: 0
size: 37 LOC
McCabe index: 8
number of parameters: 6

id: 10
unit: def dist_setting()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 5
number of parameters: 1

id: 11
unit: def dist_init()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 32 LOC
McCabe index: 11
number of parameters: 2

id: 12
unit: def _loader_file()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 9
number of parameters: 2

id: 13
unit: def sync_s3_checkpoints_to_local()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 25 LOC
McCabe index: 8
number of parameters: 3

id: 14
unit: def torch_model()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 10
number of parameters: 5

id: 15
unit: def _get_test_data_loader()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 2

id: 16
unit: def sync_local_checkpoints_to_s3()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 22 LOC
McCabe index: 7
number of parameters: 3

id: 17
unit: def train()
file: distributed_training/train_code/pytorch_mnist.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 6

id: 18
unit: def train()
file: distributed_training/train_code/pytorch_mnist_smdp.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 6

id: 19
unit: def dist_model()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 17
number of parameters: 2

id: 20
unit: def init_modelhistory()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 1
number of parameters: 1

id: 21
unit: def test()
file: distributed_training/train_code/pytorch_mnist.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 2
number of parameters: 3

id: 22
unit: def test()
file: distributed_training/train_code/pytorch_mnist_smdp.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 2
number of parameters: 3

id: 23
unit: def main()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 0

id: 24
unit: def input_fn()
file: distributed_training/src_dir/inference.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 25
unit: def forward()
file: distributed_training/train_code/model_def.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 26
unit: def predict_fn()
file: distributed_training/src_dir/inference.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 27
unit: def plot_pr_curve()
file: distributed_training/util/inference_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 28
unit: def smp_init()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 29
unit: def plot_roc_curve()
file: distributed_training/util/inference_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 30
unit: def training_step()
file: distributed_training/train_code/tf_mnist_smdp.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 31
unit: def accuracy()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 32
unit: def plot_conf_mtx()
file: distributed_training/util/inference_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 6

id: 33
unit: def adjust_learning_rate()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 5

id: 34
unit: def apex_init()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 3

id: 35
unit: def get_test_scores()
file: distributed_training/util/inference_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 36
unit: def plot_conf_mtx_multiclass()
file: distributed_training/util/inference_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 37
unit: def save_history()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 38
unit: def aws_s3_sync()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 39
unit: def __init__()
file: distributed_training/train_code/model_def.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 40
unit: def __getitem__()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 41
unit: def smp_lossgather()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 6
number of parameters: 2

id: 42
unit: def save_model()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 43
unit: def to_python_float()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 44
unit: def _sdp_import()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 45
unit: def reduce_tensor()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 46
unit: def train_step()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 6

id: 47
unit: def __init__()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 48
unit: def reset()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 49
unit: def update()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 50
unit: def sdp_init()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 51
unit: def test_step()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 52
unit: def model_fn()
file: distributed_training/src_dir/inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 53
unit: def __init__()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 54
unit: def __init__()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 55
unit: def display()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 56
unit: def _get_batch_fmtstr()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 57
unit: def __str__()
file: distributed_training/src_dir/util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 58
unit: def apex_loss()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 59
unit: def sdp_barrier()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 60
unit: def __len__()
file: distributed_training/src_dir/main_trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 61
unit: def output_fn()
file: distributed_training/src_dir/inference.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 62
unit: def smp_barrier()
file: distributed_training/src_dir/dis_util.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0