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id: 138
unit: def _enable_cross_norm()
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id: 139
unit: def find_free_port()
file: segmentation/util/util.py
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id: 140
unit: def __init__()
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id: 141
unit: def __init__()
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id: 142
unit: def resnet50()
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id: 143
unit: def forward()
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id: 144
unit: def shear_x()
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id: 145
unit: def shear_y()
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id: 146
unit: def translate_x()
file: augmentations.py
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id: 147
unit: def translate_y()
file: augmentations.py
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id: 148
unit: def resnext50_32x4d()
file: segmentation/model/resnet.py
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id: 149
unit: def resnext101_32x8d()
file: segmentation/model/resnet.py
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id: 150
unit: def forward()
file: segmentation/model/pspnet.py
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id: 151
unit: def forward()
file: segmentation/model/cnsn.py
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id: 152
unit: def resnext50_32x4d()
file: segmentation/model/cnsn_resnet.py
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id: 153
unit: def resnext101_32x8d()
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id: 154
unit: def forward()
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id: 155
unit: def forward()
file: models/imagenet/resnet_ibn_cnsn.py
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id: 156
unit: def resnext50_32x4d()
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id: 157
unit: def resnext101_32x8d()
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id: 158
unit: def get_log_dir_path()
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id: 159
unit: def wide_resnet50_2()
file: segmentation/model/resnet.py
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id: 160
unit: def wide_resnet101_2()
file: segmentation/model/resnet.py
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id: 161
unit: def __init__()
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id: 162
unit: def forward()
file: segmentation/model/cnsn.py
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id: 163
unit: def wide_resnet50_2()
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id: 164
unit: def wide_resnet101_2()
file: segmentation/model/cnsn_resnet.py
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id: 165
unit: def get_output_size()
file: segmentation/model/utils.py
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id: 166
unit: def forward()
file: segmentation/util/util.py
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id: 167
unit: def reset()
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id: 168
unit: def update()
file: segmentation/util/util.py
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id: 169
unit: def __getattr__()
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id: 170
unit: def __init__()
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id: 171
unit: def __call__()
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id: 172
unit: def __call__()
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id: 173
unit: def __init__()
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id: 174
unit: def forward()
file: models/cnsn.py
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id: 175
unit: def __init__()
file: models/imagenet/resnet_ibn_cnsn.py
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id: 176
unit: def _enable_cross_norm()
file: models/imagenet/resnet_ibn_cnsn.py
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id: 177
unit: def _enable_cross_norm()
file: models/imagenet/resnet_cnsn.py
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size: 5 LOC
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id: 178
unit: def wide_resnet50_2()
file: models/imagenet/resnet_cnsn.py
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size: 5 LOC
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id: 179
unit: def wide_resnet101_2()
file: models/imagenet/resnet_cnsn.py
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size: 5 LOC
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id: 180
unit: def _enable_cross_norm()
file: models/cifar/resnext_cnsn.py
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size: 5 LOC
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number of parameters: 1

id: 181
unit: def resnext29()
file: models/cifar/resnext_cnsn.py
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number of parameters: 4

id: 182
unit: def _enable_cross_norm()
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id: 183
unit: def _enable_cross_norm()
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id: 184
unit: def __init__()
file: models/cifar/densenet_cnsn.py
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id: 185
unit: def _enable_cross_norm()
file: models/cifar/densenet_cnsn.py
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id: 186
unit: def densenet()
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id: 187
unit: def get_model_name()
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id: 188
unit: def reset()
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id: 189
unit: def update()
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id: 190
unit: def rotate()
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id: 191
unit: def resnet18()
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id: 192
unit: def resnet34()
file: segmentation/model/resnet.py
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id: 193
unit: def resnet50()
file: segmentation/model/resnet.py
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id: 194
unit: def resnet101()
file: segmentation/model/resnet.py
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id: 195
unit: def resnet152()
file: segmentation/model/resnet.py
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id: 196
unit: def __init__()
file: segmentation/model/cnsn.py
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id: 197
unit: def resnet18()
file: segmentation/model/cnsn_resnet.py
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id: 198
unit: def resnet34()
file: segmentation/model/cnsn_resnet.py
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id: 199
unit: def resnet50()
file: segmentation/model/cnsn_resnet.py
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id: 200
unit: def resnet101()
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id: 201
unit: def resnet152()
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id: 202
unit: def __init__()
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id: 203
unit: def colorize()
file: segmentation/util/util.py
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id: 204
unit: def _assert_with_logging()
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id: 205
unit: def __call__()
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id: 206
unit: def __call__()
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id: 207
unit: def __call__()
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id: 208
unit: def print_ces()
file: imagenet.py
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id: 209
unit: def __init__()
file: models/cnsn.py
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id: 210
unit: def resnet18()
file: models/imagenet/resnet_cnsn.py
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id: 211
unit: def resnet34()
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id: 212
unit: def resnet101()
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id: 213
unit: def resnet152()
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id: 214
unit: def forward()
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id: 215
unit: def conv3x3()
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id: 216
unit: def conv3x3()
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id: 217
unit: def _disable_cross_norm()
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id: 218
unit: def step_learning_rate()
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id: 219
unit: def poly_learning_rate()
file: segmentation/util/util.py
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id: 220
unit: def check_mkdir()
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id: 221
unit: def check_makedirs()
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id: 222
unit: def is_image_file()
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id: 223
unit: def __init__()
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id: 224
unit: def __call__()
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id: 225
unit: def __call__()
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id: 226
unit: def conv3x3()
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id: 227
unit: def get_lr()
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id: 228
unit: def posterize()
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id: 229
unit: def solarize()
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id: 230
unit: def color()
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id: 231
unit: def contrast()
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id: 232
unit: def brightness()
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id: 233
unit: def sharpness()
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id: 234
unit: def conv1x1()
file: segmentation/model/resnet.py
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id: 235
unit: def forward()
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id: 236
unit: def conv1x1()
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id: 237
unit: def forward()
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id: 238
unit: def forward()
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id: 239
unit: def __init__()
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id: 240
unit: def __setattr__()
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id: 241
unit: def __repr__()
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id: 242
unit: def __len__()
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id: 243
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id: 244
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id: 247
unit: def worker_init_fn()
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id: 248
unit: def main_process()
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id: 249
unit: def worker_init_fn()
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id: 250
unit: def main_process()
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id: 251
unit: def conv1x1()
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id: 252
unit: def forward()
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id: 253
unit: def forward()
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id: 254
unit: def __init__()
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id: 255
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id: 256
unit: def int_parameter()
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id: 257
unit: def float_parameter()
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id: 258
unit: def sample_level()
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id: 259
unit: def autocontrast()
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id: 260
unit: def equalize()
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