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LOC McCabe index: 6 number of parameters: 2 id: 23 unit: def configure() file: cm/logger.py start line: 0 end line: 0 size: 24 LOC McCabe index: 8 number of parameters: 4 id: 24 unit: def sample_euler_ancestral() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 24 LOC McCabe index: 4 number of parameters: 6 id: 25 unit: def create_argparser() file: scripts/ternary_search.py start line: 0 end line: 0 size: 23 LOC McCabe index: 1 number of parameters: 0 id: 26 unit: def model_and_diffusion_defaults() file: cm/script_util.py start line: 0 end line: 0 size: 23 LOC McCabe index: 1 number of parameters: 0 id: 27 unit: def __init__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 23 LOC McCabe index: 2 number of parameters: 2 id: 28 unit: def create_argparser() file: scripts/cm_train.py start line: 0 end line: 0 size: 22 LOC McCabe index: 1 number of parameters: 0 id: 29 unit: def mpi_weighted_mean() file: cm/logger.py start line: 0 end line: 0 size: 22 LOC McCabe index: 7 number of parameters: 2 id: 30 unit: def create_argparser() file: scripts/image_sample.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 0 id: 31 unit: def create_argparser() file: scripts/edm_train.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 0 id: 32 unit: def save() file: cm/train_util.py start line: 0 end line: 0 size: 21 LOC McCabe index: 6 number of parameters: 1 id: 33 unit: def _forward() file: cm/unet.py start line: 0 end line: 0 size: 21 LOC McCabe index: 4 number of parameters: 3 id: 34 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 12 id: 35 unit: def create_model_and_diffusion() file: cm/script_util.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 0 id: 36 unit: def __init__() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 2 id: 37 unit: 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LOC McCabe index: 5 number of parameters: 1 id: 52 unit: def _load_and_sync_teacher_parameters() file: cm/train_util.py start line: 0 end line: 0 size: 17 LOC McCabe index: 5 number of parameters: 1 id: 53 unit: def load_state_dict() file: cm/dist_util.py start line: 0 end line: 0 size: 17 LOC McCabe index: 5 number of parameters: 2 id: 54 unit: def __getitem__() file: cm/image_datasets.py start line: 0 end line: 0 size: 17 LOC McCabe index: 5 number of parameters: 2 id: 55 unit: def create_model() file: cm/script_util.py start line: 0 end line: 0 size: 17 LOC McCabe index: 1 number of parameters: 0 id: 56 unit: def randint() file: cm/random_util.py start line: 0 end line: 0 size: 17 LOC McCabe index: 2 number of parameters: 6 id: 57 unit: def __init__() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 17 LOC McCabe index: 2 number of parameters: 3 id: 58 unit: def setup_dist() file: cm/dist_util.py start line: 0 end line: 0 size: 16 LOC McCabe index: 4 number of parameters: 0 id: 59 unit: def random_crop_arr() file: cm/image_datasets.py start line: 0 end line: 0 size: 16 LOC McCabe index: 4 number of parameters: 4 id: 60 unit: def backward() file: cm/nn.py start line: 0 end line: 0 size: 15 LOC McCabe index: 4 number of parameters: 2 id: 61 unit: def __init__() file: cm/random_util.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 3 id: 62 unit: def __init__() file: cm/random_util.py start line: 0 end line: 0 size: 15 LOC McCabe index: 5 number of parameters: 3 id: 63 unit: def heun_solver() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 4 id: 64 unit: def denoise() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 15 LOC McCabe index: 4 number of parameters: 5 id: 65 unit: def open_npz_array() file: evaluations/evaluator.py start line: 0 end line: 0 size: 15 LOC McCabe index: 5 number of parameters: 2 id: 66 unit: def _read_bytes() file: 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0 end line: 0 size: 14 LOC McCabe index: 6 number of parameters: 3 id: 74 unit: def forward() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 2 id: 75 unit: def _load_and_sync_parameters() file: cm/train_util.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 1 id: 76 unit: def _load_ema_parameters() file: cm/train_util.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 2 id: 77 unit: def run_step() file: cm/train_util.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 3 id: 78 unit: def _forward() file: cm/unet.py start line: 0 end line: 0 size: 13 LOC McCabe index: 2 number of parameters: 3 id: 79 unit: def center_crop_arr() file: cm/image_datasets.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 2 id: 80 unit: def sample_midpoint_ancestral() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 13 LOC McCabe index: 4 number of parameters: 6 id: 81 unit: def __init__() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 2 id: 82 unit: def run_loop() file: cm/train_util.py start line: 0 end line: 0 size: 12 LOC McCabe index: 10 number of parameters: 1 id: 83 unit: def _update_target_ema() file: cm/train_util.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 1 id: 84 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 85 unit: def get_global_size_and_indices() file: cm/random_util.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 2 id: 86 unit: def writekvs() file: cm/logger.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 2 id: 87 unit: def stochastic_iterative_sampler() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 0 id: 88 unit: def _create_softmax_graph() file: evaluations/evaluator.py start line: 0 end line: 0 size: 12 LOC McCabe index: 1 number of parameters: 1 id: 89 unit: def _numpy_partition() file: evaluations/evaluator.py start line: 0 end line: 0 size: 12 LOC McCabe index: 3 number of parameters: 3 id: 90 unit: def make_master_params() file: cm/fp16_util.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 91 unit: def get_param_groups_and_shapes() file: cm/fp16_util.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 1 id: 92 unit: def _load_optimizer_state() file: cm/train_util.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 1 id: 93 unit: def forward() file: cm/unet.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 94 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 0 id: 95 unit: 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_download_inception_model() file: evaluations/evaluator.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 0 id: 103 unit: def set_ref_batch() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 2 id: 104 unit: def state_dict_to_master_params() file: cm/fp16_util.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 3 id: 105 unit: def __init__() file: cm/train_util.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 106 unit: def timestep_embedding() file: cm/nn.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 3 id: 107 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 108 unit: def _list_image_files_recursively() file: cm/image_datasets.py start line: 0 end line: 0 size: 10 LOC McCabe index: 5 number of parameters: 1 id: 109 unit: def randn() file: cm/random_util.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 4 id: 110 unit: def set_seed() file: cm/random_util.py start line: 0 end line: 0 size: 10 LOC McCabe index: 4 number of parameters: 2 id: 111 unit: def __init__() file: cm/logger.py start line: 0 end line: 0 size: 10 LOC McCabe index: 2 number of parameters: 2 id: 112 unit: def consistency_losses() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 113 unit: def iterative_colorization() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 114 unit: def iterative_inpainting() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 115 unit: def iterative_superres() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 116 unit: def less_thans() file: 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number of parameters: 0 id: 131 unit: def euler_solver() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 4 id: 132 unit: def progdist_losses() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 133 unit: def obtain_orthogonal_matrix() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 0 id: 134 unit: def obtain_orthogonal_matrix() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 0 id: 135 unit: def forward() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 136 unit: def forward() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 137 unit: def forward() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 138 unit: def run_step() file: cm/train_util.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 139 unit: def find_ema_checkpoint() file: cm/train_util.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 3 id: 140 unit: def conv_nd() file: cm/nn.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 3 id: 141 unit: def avg_pool_nd() file: cm/nn.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 3 id: 142 unit: def _find_free_port() file: cm/dist_util.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 143 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 5 id: 144 unit: def sample() file: cm/resample.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 3 id: 145 unit: def __init__() file: cm/resample.py start line: 0 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number of parameters: 5 id: 153 unit: def _batch_pairwise_distances() file: evaluations/evaluator.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 154 unit: def __init__() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 7 id: 155 unit: def model_grads_to_master_grads() file: cm/fp16_util.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 156 unit: def __init__() file: cm/fp16_util.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 157 unit: def _anneal_lr() file: cm/train_util.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 1 id: 158 unit: def append_dims() file: cm/nn.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 159 unit: def forward() file: cm/nn.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 4 id: 160 unit: def forward() file: cm/unet.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 3 id: 161 unit: def __init__() file: cm/resample.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 162 unit: def profile_kv() file: cm/logger.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 163 unit: def profile() file: cm/logger.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 164 unit: def __init__() file: cm/logger.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 4 id: 165 unit: def sample_euler() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 166 unit: def sample_onestep() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 167 unit: def sample_progdist() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 0 id: 168 unit: def _open_npy_file() file: evaluations/evaluator.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 2 id: 169 unit: def acts_to_probs() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 170 unit: def master_params_to_model_params() file: cm/fp16_util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 4 number of parameters: 2 id: 171 unit: def backward() file: cm/fp16_util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 172 unit: def _optimize_normal() file: cm/fp16_util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 173 unit: def log_loss_dict() file: cm/train_util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 3 id: 174 unit: def checkpoint() file: cm/nn.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 4 id: 175 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 176 unit: def randn() file: cm/random_util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 177 unit: def randint() file: cm/random_util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 6 id: 178 unit: def writekvs() file: cm/logger.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 2 id: 179 unit: def euler_solver() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 180 unit: def get_sigmas_karras() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 5 id: 181 unit: def get_ancestral_step() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 182 unit: def replacement() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 183 unit: def warmup() file: evaluations/evaluator.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 184 unit: def evaluate_pr() file: evaluations/evaluator.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 185 unit: def read_batch() file: evaluations/evaluator.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 186 unit: def forward() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 187 unit: def dump_images() file: datasets/lsun_bedroom.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 3 id: 188 unit: def convert_module_to_f16() file: cm/fp16_util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 189 unit: def convert_module_to_f32() file: cm/fp16_util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 190 unit: def zero_grad() file: cm/fp16_util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 191 unit: def param_grad_or_zeros() file: cm/fp16_util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 192 unit: def optimize() file: cm/fp16_util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 193 unit: def count_flops_attn() file: cm/unet.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 194 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 195 unit: def get_rank_without_mpi_import() file: cm/logger.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 0 id: 196 unit: def reset() file: cm/logger.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 0 id: 197 unit: def get_scalings() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 198 unit: def euler_to_denoiser() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 199 unit: def denoiser() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 200 unit: def __init__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 201 unit: def pairwise_distances() file: evaluations/evaluator.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 202 unit: def __init__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 203 unit: def __init__() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 204 unit: def master_params_to_state_dict() file: cm/fp16_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 205 unit: def log_step() file: cm/train_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 206 unit: def zero_module() file: cm/nn.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 207 unit: def scale_module() file: cm/nn.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 208 unit: def dev() file: cm/dist_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 0 id: 209 unit: def sync_params() file: cm/dist_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 210 unit: def forward() file: cm/unet.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 211 unit: def convert_to_fp16() file: cm/unet.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 212 unit: def convert_to_fp32() file: cm/unet.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 213 unit: def set_seed() file: cm/random_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 214 unit: def __init__() file: cm/logger.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 215 unit: def close() file: cm/logger.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 216 unit: def get_current() file: cm/logger.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 0 id: 217 unit: def logkv_mean() file: cm/logger.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 218 unit: def _do_log() file: cm/logger.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 2 id: 219 unit: def compute_statistics() file: evaluations/evaluator.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 220 unit: def load() file: evaluations/evaluator.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 221 unit: def all_gather() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 222 unit: def __init__() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 4 id: 223 unit: def get_statistics() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 224 unit: def forward() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 225 unit: def zero_master_grads() file: cm/fp16_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 226 unit: def _update_ema() file: cm/train_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 227 unit: def log_step() file: cm/train_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 228 unit: def update_ema() file: cm/nn.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 3 id: 229 unit: def forward() file: cm/unet.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 230 unit: def __init__() file: cm/unet.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 231 unit: def __init__() file: cm/resample.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 232 unit: def randn_like() file: cm/random_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 233 unit: def set_done_samples() file: cm/random_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 234 unit: def randn_like() file: cm/random_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 235 unit: def _truncate() file: cm/logger.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 236 unit: def close() file: cm/logger.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 237 unit: def logkvs() file: cm/logger.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 238 unit: def log() file: cm/logger.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 3 id: 239 unit: def close() file: cm/logger.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 240 unit: def _configure_default_logger() file: cm/logger.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 241 unit: def replacement() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 242 unit: def __init__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 243 unit: def read_activations() file: evaluations/evaluator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 244 unit: def __init__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 245 unit: def __init__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 246 unit: def __init__() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 247 unit: def __init__() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 248 unit: def __init__() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 249 unit: def unflatten_master_params() file: cm/fp16_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 250 unit: def master_params_to_state_dict() file: cm/fp16_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 251 unit: def zero_grad() file: cm/fp16_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 252 unit: def state_dict_to_master_params() file: cm/fp16_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 253 unit: def check_overflow() file: cm/fp16_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 3 number of parameters: 1 id: 254 unit: def get_blob_logdir() file: cm/train_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 0 id: 255 unit: def find_resume_checkpoint() file: cm/train_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 256 unit: def forward() file: cm/nn.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 257 unit: def forward() file: cm/nn.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 258 unit: def linear() file: cm/nn.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 259 unit: def mean_flat() file: cm/nn.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 260 unit: def append_zero() file: cm/nn.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 261 unit: def normalization() file: cm/nn.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 262 unit: def approx_standard_normal_cdf() file: cm/losses.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 263 unit: def count_flops() file: cm/unet.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 264 unit: def count_flops() file: cm/unet.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 265 unit: def weights() file: cm/resample.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 266 unit: def _warmed_up() file: cm/resample.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 267 unit: def __len__() file: cm/image_datasets.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 268 unit: def args_to_dict() file: cm/script_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 269 unit: def randn() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 270 unit: def randint() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 271 unit: def randn_like() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 272 unit: def get_generator() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 273 unit: def get_seed() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 274 unit: def get_generator() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 275 unit: def set_done_samples() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 276 unit: def get_seed() file: cm/random_util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 277 unit: def writekvs() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 278 unit: def writeseq() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 279 unit: def __init__() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 280 unit: def close() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 281 unit: def close() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 282 unit: def logkv() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 283 unit: def logkv_mean() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 284 unit: def dumpkvs() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 285 unit: def getkvs() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 286 unit: def log() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 287 unit: def debug() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 288 unit: def info() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 289 unit: def warn() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 290 unit: def error() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 291 unit: def set_level() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 292 unit: def set_comm() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 293 unit: def get_dir() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 294 unit: def logkv() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 295 unit: def set_level() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 296 unit: def set_comm() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 297 unit: def get_dir() file: cm/logger.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 298 unit: def get_snr() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 299 unit: def get_sigmas() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 300 unit: def denoise_fn() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 301 unit: def target_denoise_fn() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 302 unit: def teacher_denoise_fn() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 303 unit: def denoise_fn() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 304 unit: def teacher_denoise_fn() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 305 unit: def to_d() file: cm/karras_diffusion.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 306 unit: def warmup() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 307 unit: def compute_activations() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 308 unit: def read_statistics() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 309 unit: def compute_inception_score() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 310 unit: def compute_prec_recall() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 311 unit: def evaluate() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 312 unit: def read_batch() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 313 unit: def remaining() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 314 unit: def __len__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 315 unit: def __iter__() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 316 unit: def remaining() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 317 unit: def remaining() file: evaluations/evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 318 unit: def clip_preproc() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 319 unit: def forward() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 320 unit: def forward() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 321 unit: def get_inception_score() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 322 unit: def get_clip_score() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 323 unit: def get_ref_batch() file: evaluations/th_evaluator.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 324 unit: def create_softmax_model() file: evaluations/inception_v3.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 325 unit: def forward() file: cm/unet.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 3 id: 326 unit: def weights() file: cm/resample.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 1 id: 327 unit: def update_with_all_losses() file: cm/resample.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 3