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unit: def get_weight()
file: models/modules.py
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id: 145
unit: def get_weight()
file: models/modules_gen.py
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id: 146
unit: def __init__()
file: models/modules_gen.py
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id: 147
unit: def get_weight()
file: models/modules_gen.py
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id: 148
unit: def initialize()
file: models/modules_gen.py
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size: 4 LOC
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number of parameters: 2

id: 149
unit: def get_weight()
file: trainers/train_one_dim_subspaces.py
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size: 4 LOC
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id: 150
unit: def get_weight()
file: trainers/train_simplexes.py
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size: 4 LOC
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number of parameters: 2

id: 151
unit: def __init__()
file: models/modules.py
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id: 152
unit: def initialize()
file: models/modules.py
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size: 3 LOC
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id: 153
unit: def get_weight()
file: models/modules.py
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id: 154
unit: def __init__()
file: models/modules_gen.py
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size: 3 LOC
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id: 155
unit: def initialize()
file: models/modules_gen.py
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id: 156
unit: def _resnet()
file: models/tinyimagenetresnet.py
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size: 3 LOC
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number of parameters: 4

id: 157
unit: def assign_learning_rate()
file: schedulers.py
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size: 3 LOC
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id: 158
unit: def train()
file: trainers/average_weights.py
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id: 159
unit: def train()
file: trainers/ensemble.py
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id: 160
unit: def train()
file: trainers/random_average_weights_global.py
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id: 161
unit: def train()
file: trainers/random_average_weights_layerwise.py
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id: 162
unit: def train()
file: trainers/random_average_weights_perweight.py
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id: 163
unit: def get_model()
file: utils.py
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id: 164
unit: def batchnorm()
file: models/builder.py
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size: 2 LOC
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id: 165
unit: def kaiming_normal()
file: models/init.py
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size: 2 LOC
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id: 166
unit: def initialize()
file: models/modules.py
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id: 167
unit: def initialize()
file: models/modules_gen.py
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id: 168
unit: def ResNet18()
file: models/resnet.py
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size: 2 LOC
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id: 169
unit: def ResNet50()
file: models/resnet.py
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id: 170
unit: def ResNet101()
file: models/resnet.py
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id: 171
unit: def _make_layer()
file: models/tinyimagenetresnet.py
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id: 172
unit: def TinyImageNetResNet18()
file: models/tinyimagenetresnet.py
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size: 2 LOC
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id: 173
unit: def TinyImageNetResNet50()
file: models/tinyimagenetresnet.py
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id: 174
unit: def _warmup_lr()
file: schedulers.py
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size: 2 LOC
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number of parameters: 3

id: 175
unit: def init()
file: trainers/average_weights.py
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id: 176
unit: def init()
file: trainers/default.py
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id: 177
unit: def init()
file: trainers/ensemble.py
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id: 178
unit: def init()
file: trainers/eval_one_dim_subspaces.py
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size: 2 LOC
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number of parameters: 3

id: 179
unit: def train()
file: trainers/eval_one_dim_subspaces.py
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size: 2 LOC
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number of parameters: 6

id: 180
unit: def init()
file: trainers/eval_one_dim_subspaces_multigpu.py
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size: 2 LOC
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number of parameters: 3

id: 181
unit: def init()
file: trainers/linestats_swa.py
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size: 2 LOC
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id: 182
unit: def train()
file: trainers/linestats_swa.py
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size: 2 LOC
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number of parameters: 6

id: 183
unit: def init()
file: trainers/random_average_weights_global.py
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size: 2 LOC
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number of parameters: 3

id: 184
unit: def init()
file: trainers/random_average_weights_layerwise.py
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size: 2 LOC
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number of parameters: 3

id: 185
unit: def init()
file: trainers/random_average_weights_perweight.py
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size: 2 LOC
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number of parameters: 3

id: 186
unit: def init()
file: trainers/simplex_ensembles.py
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size: 2 LOC
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number of parameters: 3

id: 187
unit: def train()
file: trainers/simplex_ensembles.py
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size: 2 LOC
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number of parameters: 6

id: 188
unit: def init()
file: trainers/swa_endpoint_ensembles.py
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size: 2 LOC
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id: 189
unit: def train()
file: trainers/swa_endpoint_ensembles.py
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size: 2 LOC
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number of parameters: 6

id: 190
unit: def init()
file: trainers/swag.py
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id: 191
unit: def train()
file: trainers/swag.py
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size: 2 LOC
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id: 192
unit: def init()
file: trainers/train_one_dim_subspaces.py
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size: 2 LOC
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number of parameters: 3

id: 193
unit: def fs_helper()
file: viz/config.py
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size: 2 LOC
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number of parameters: 1

id: 194
unit: def dict_to_id()
file: viz/utils.py
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size: 2 LOC
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number of parameters: 1

id: 195
unit: def add_curve_with_noise()
file: viz/utils.py
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size: 2 LOC
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id: 196
unit: def add_point_with_noise()
file: viz/utils.py
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size: 2 LOC
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id: 197
unit: def add_upper_bound()
file: viz/utils.py
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id: 198
unit: def add_baseline()
file: viz/utils.py
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