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genotypes.py
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from collections import namedtuple
Genotype = namedtuple('Genotype', 'normal normal_concat reduce reduce_concat')
Normal_Genotype = namedtuple('Normal_Genotype', 'normal normal_concat')
Reduce_Genotype = namedtuple('Reduce_Genotype', 'reduce reduce_concat')
PARAMS = {'conv_3x1_1x3':864, 'conv_7x1_1x7':2016, 'sep_conv_7x7': 1464, 'conv 3x3':1296, 'sep_conv_5x5': 888, 'sep_conv_3x3':504, 'dil_conv_5x5': 444, 'conv 1x1':144, 'dil_conv_3x3':252, 'skip_connect':0, 'none':0, 'max_pool_3x3':0, 'avg_pool_3x3':0}
PRIMITIVES = [
'sep_conv_3x3',
'sep_conv_5x5',
'dil_conv_3x3',
'dil_conv_5x5',
'skip_connect',
'avg_pool_3x3',
'max_pool_3x3',
'none'
]
NASNet = Genotype(
normal = [
('sep_conv_5x5', 1),
('sep_conv_3x3', 0),
('sep_conv_5x5', 0),
('sep_conv_3x3', 0),
('avg_pool_3x3', 1),
('skip_connect', 0),
('avg_pool_3x3', 0),
('avg_pool_3x3', 0),
('sep_conv_3x3', 1),
('skip_connect', 1),
],
normal_concat = [2, 3, 4, 5, 6],
reduce = [
('sep_conv_5x5', 1),
('sep_conv_7x7', 0),
('max_pool_3x3', 1),
('sep_conv_7x7', 0),
('avg_pool_3x3', 1),
('sep_conv_5x5', 0),
('skip_connect', 3),
('avg_pool_3x3', 2),
('sep_conv_3x3', 2),
('max_pool_3x3', 1),
],
reduce_concat = [4, 5, 6],
)
AmoebaNet = Genotype(
normal = [
('avg_pool_3x3', 0),
('max_pool_3x3', 1),
('sep_conv_3x3', 0),
('sep_conv_5x5', 2),
('sep_conv_3x3', 0),
('avg_pool_3x3', 3),
('sep_conv_3x3', 1),
('skip_connect', 1),
('skip_connect', 0),
('avg_pool_3x3', 1),
],
normal_concat = [4, 5, 6],
reduce = [
('avg_pool_3x3', 0),
('sep_conv_3x3', 1),
('max_pool_3x3', 0),
('sep_conv_7x7', 2),
('sep_conv_7x7', 0),
('avg_pool_3x3', 1),
('max_pool_3x3', 0),
('max_pool_3x3', 1),
('conv_7x1_1x7', 0),
('sep_conv_3x3', 5),
],
reduce_concat = [3, 4, 6]
)
DARTS_V1 = Genotype(normal=[('sep_conv_3x3', 1), ('sep_conv_3x3', 0), ('skip_connect', 0), ('sep_conv_3x3', 1), ('skip_connect', 0), ('sep_conv_3x3', 1), ('sep_conv_3x3', 0), ('skip_connect', 2)], normal_concat=[2, 3, 4, 5], reduce=[('max_pool_3x3', 0), ('max_pool_3x3', 1), ('skip_connect', 2), ('max_pool_3x3', 0), ('max_pool_3x3', 0), ('skip_connect', 2), ('skip_connect', 2), ('avg_pool_3x3', 0)], reduce_concat=[2, 3, 4, 5])
DARTS_V2 = Genotype(normal=[('sep_conv_3x3', 0), ('sep_conv_3x3', 1), ('sep_conv_3x3', 0), ('sep_conv_3x3', 1), ('sep_conv_3x3', 1), ('skip_connect', 0), ('skip_connect', 0), ('dil_conv_3x3', 2)], normal_concat=[2, 3, 4, 5], reduce=[('max_pool_3x3', 0), ('max_pool_3x3', 1), ('skip_connect', 2), ('max_pool_3x3', 1), ('max_pool_3x3', 0), ('skip_connect', 2), ('skip_connect', 2), ('max_pool_3x3', 1)], reduce_concat=[2, 3, 4, 5])
DARTS = DARTS_V1
Cell_0 = Normal_Genotype(normal=[('sep_conv_3x3', 0), ('dil_conv_3x3', 1), ('dil_conv_5x5', 0), ('skip_connect', 1), ('sep_conv_3x3', 0), ('sep_conv_5x5', 3), ('dil_conv_5x5', 0), ('sep_conv_3x3', 3)], normal_concat=range(2, 6))
Cell_1 = Reduce_Genotype(reduce=[('max_pool_3x3', 0), ('sep_conv_5x5', 1), ('skip_connect', 0), ('sep_conv_5x5', 1), ('max_pool_3x3', 0), ('skip_connect', 1), ('sep_conv_5x5', 0), ('sep_conv_3x3', 1)], reduce_concat=range(2, 6))
Cell_2 = Normal_Genotype(normal=[('skip_connect', 0), ('sep_conv_3x3', 1), ('dil_conv_5x5', 0), ('sep_conv_3x3', 1), ('dil_conv_3x3', 0), ('sep_conv_5x5', 1), ('sep_conv_3x3', 1), ('dil_conv_5x5', 4)], normal_concat=range(2, 6))
Cell_3 = Reduce_Genotype(reduce=[('skip_connect', 1), ('skip_connect', 0), ('dil_conv_3x3', 1), ('dil_conv_3x3', 0), ('avg_pool_3x3', 0), ('max_pool_3x3', 1), ('avg_pool_3x3', 0), ('max_pool_3x3', 1)], reduce_concat=range(2, 6))
Cell_4 = Normal_Genotype(normal=[('skip_connect', 0), ('dil_conv_5x5', 1), ('sep_conv_3x3', 0), ('sep_conv_3x3', 1), ('sep_conv_5x5', 0), ('max_pool_3x3', 2), ('sep_conv_5x5', 0), ('sep_conv_3x3', 1)], normal_concat=range(2, 6))
Cell_0 = Normal_Genotype(normal=[('skip_connect', 0), ('sep_conv_5x5', 1), ('max_pool_3x3', 0), ('dil_conv_3x3', 1), ('sep_conv_3x3', 0), ('dil_conv_5x5', 1), ('sep_conv_5x5', 0), ('avg_pool_3x3', 1)], normal_concat=range(2, 6))
Cell_1 = Reduce_Genotype(reduce=[('dil_conv_3x3', 0), ('dil_conv_3x3', 1), ('max_pool_3x3', 0), ('sep_conv_5x5', 1), ('dil_conv_3x3', 1), ('sep_conv_5x5', 3), ('sep_conv_5x5', 0), ('skip_connect', 1)], reduce_concat=range(2, 6))
Cell_2 = Normal_Genotype(normal=[('skip_connect', 0), ('sep_conv_3x3', 1), ('avg_pool_3x3', 0), ('sep_conv_3x3', 2), ('sep_conv_5x5', 0), ('sep_conv_3x3', 1), ('avg_pool_3x3', 0), ('skip_connect', 1)], normal_concat=range(2, 6))
Cell_3 = Reduce_Genotype(reduce=[('avg_pool_3x3', 0), ('sep_conv_3x3', 1), ('skip_connect', 0), ('avg_pool_3x3', 1), ('dil_conv_3x3', 0), ('dil_conv_3x3', 1), ('sep_conv_3x3', 0), ('dil_conv_5x5', 1)], reduce_concat=range(2, 6))
Cell_4 = Normal_Genotype(normal=[('sep_conv_3x3', 0), ('sep_conv_5x5', 1), ('skip_connect', 0), ('skip_connect', 1), ('sep_conv_5x5', 0), ('dil_conv_5x5', 1), ('dil_conv_5x5', 0), ('max_pool_3x3', 1)], normal_concat=range(2, 6))
SWD_NAS = [Cell_0, Cell_1, Cell_2, Cell_3, Cell_4]