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id: 33
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unit: def forward()
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id: 35
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id: 36
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id: 39
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id: 47
unit: def cycleclass()
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id: 48
unit: def construct_steps()
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unit: def get_inception_score()
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id: 50
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id: 51
unit: def _apply_sparse_shared()
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id: 53
unit: def anticorrupt()
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id: 54
unit: def labeldiscover()
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id: 55
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id: 56
unit: def crossclass()
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id: 57
unit: def nearest_neighbor()
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id: 58
unit: def optimistic_remap_restore()
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id: 59
unit: def ancestral_sample()
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id: 60
unit: def construct_weights()
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id: 61
unit: def label()
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id: 62
unit: def energyeval()
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id: 63
unit: def optimistic_restore()
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id: 64
unit: def calculate_frechet_distance()
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id: 65
unit: def make_image()
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id: 66
unit: def construct_weights()
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id: 67
unit: def remap_restore()
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id: 68
unit: def hmc()
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id: 69
unit: def get_activations()
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id: 70
unit: def construct_weights()
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id: 71
unit: def normalize()
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id: 75
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id: 76
unit: def _get_inception_layer()
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id: 77
unit: def construct_weights()
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id: 78
unit: def democlass()
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id: 79
unit: def average_gradients()
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id: 80
unit: def check_or_download_inception()
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id: 86
unit: def smart_atten_block()
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id: 87
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unit: def smart_conv_block()
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id: 89
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id: 90
unit: def leapfrog_step()
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id: 91
unit: def calculate_fid_given_paths()
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id: 92
unit: def construct_energy()
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id: 93
unit: def preprocess_image()
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id: 94
unit: def conv_block_1d()
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id: 95
unit: def group_norm()
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id: 96
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id: 97
unit: def bridge_prob_neg_log()
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id: 98
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id: 100
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id: 102
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id: 103
unit: def init_fc_weight()
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id: 104
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id: 106
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id: 107
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id: 108
unit: def model_prob_log()
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id: 109
unit: def get_fid_score()
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id: 112
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id: 113
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id: 115
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id: 116
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id: 117
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id: 120
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id: 125
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id: 126
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id: 127
unit: def _encode_sample()
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id: 128
unit: def conv_cond_concat()
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id: 129
unit: def _apply_sparse()
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id: 130
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id: 131
unit: def gauss_prob_log()
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id: 132
unit: def create_inception_graph()
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id: 133
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id: 134
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id: 135
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id: 136
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id: 137
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id: 138
unit: def get_median()
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id: 140
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id: 141
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id: 143
unit: def mse()
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id: 144
unit: def hamiltonian()
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id: 149
unit: def rescale_im()
file: ebm_sandbox.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 150
unit: def preprocess()
file: imagenet_preprocessing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 151
unit: def hw_flatten()
file: utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 152
unit: def _resource_apply_sparse()
file: custom_adam.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 153
unit: def compress_x_mod()
file: train.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 154
unit: def rescale_im()
file: imagenet_demo.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 155
unit: def swish()
file: utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 156
unit: def __len__()
file: utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 157
unit: def _l2normalize()
file: utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 158
unit: def kinetic_energy()
file: hmc.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 159
unit: def unscale_im()
file: ais.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 160
unit: def uniform_prob_log()
file: ais.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 161
unit: def __len__()
file: ebm_combine.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 162
unit: def __iter__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 163
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 164
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 165
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 166
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 167
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 168
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 169
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 170
unit: def __init__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 171
unit: def __len__()
file: data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1