Comments (3)
LinzheCAI
commented on July 18, 2024
在网络搜索完后，得到的最高精度网络结构为genotype = Genotype(normal=[('sep_conv_5x5', 1), ('dil_conv_3x3', 0), ('dil_conv_5x5', 2), ('sep_conv_3x3', 1), ('avg_pool_3x3', 3), ('avg_pool_3x3', 1), ('sep_conv_5x5', 1), ('dil_conv_5x5', 4)], normal_concat=range(2, 6), reduce=[('sep_conv_5x5', 1), ('dil_conv_3x3', 0), ('sep_conv_5x5', 2), ('sep_conv_5x5', 1), ('dil_conv_5x5', 2), ('sep_conv_3x3', 3), ('sep_conv_5x5', 4), ('sep_conv_5x5', 3)], reduce_concat=range(2, 6))，如何将这种形式变成可读可加载的网络结构呢？
问题解决了吗
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myl11045
commented on July 18, 2024
config里面是可以配置的，例如
parser.add_argument('--genotype', default="Genotype(normal=[[('max_pool_3x3', 0), ('dil_conv_3x3', 1)], [('max_pool_3x3', 0), ('dil_conv_3x3', 1)], [('max_pool_3x3', 0), ('dil_conv_3x3', 2)], [('dil_conv_3x3', 4), ('max_pool_3x3', 2)]], normal_concat=range(2, 6), reduce=[[('max_pool_3x3', 1), ('sep_conv_3x3', 0)], [('dil_conv_3x3', 2), ('max_pool_3x3', 1)], [('dil_conv_3x3', 3), ('dil_conv_3x3', 2)], [('dil_conv_3x3', 2), ('dil_conv_3x3', 3)]], reduce_concat=range(2, 6))",
help='Cell genotype')
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LinzheCAI
commented on July 18, 2024
感谢回复，我找到genotype以后，想看看visualization, 但是运行结果如附件所示。
能否告知 visualize.py 里面这三行代码的含义，感谢！
if len(sys.argv) != 2:
print("usage:\n python {} ARCH_NAME".format(sys.argv[0]))
sys.exit(1)
…On Fri, Nov 11, 2022 at 5:36 PM myl11045 ***@***.***> wrote:
config里面是可以配置的，例如
parser.add_argument('--genotype',
default="Genotype(normal=[[('max_pool_3x3', 0), ('dil_conv_3x3', 1)],
[('max_pool_3x3', 0), ('dil_conv_3x3', 1)], [('max_pool_3x3', 0),
('dil_conv_3x3', 2)], [('dil_conv_3x3', 4), ('max_pool_3x3', 2)]],
normal_concat=range(2, 6), reduce=[[('max_pool_3x3', 1), ('sep_conv_3x3',
0)], [('dil_conv_3x3', 2), ('max_pool_3x3', 1)], [('dil_conv_3x3', 3),
('dil_conv_3x3', 2)], [('dil_conv_3x3', 2), ('dil_conv_3x3', 3)]],
reduce_concat=range(2, 6))",
help='Cell genotype')
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