e2e0f0f7791731d3b7dfa989cae569c15a22cdd6,tensornets/middles.py,,names_nasnets,#,37

Before Change

def names_nasnets(k):
    names = ["normal%d/concat:0" % (i + 1) for i in range(k)]
    names.insert(k // 3, "reduction%d/concat:0" % (k // 3))
    names.insert(k // 3 * 2 + 1, "reduction%d/concat:0" % (k // 3 * 2))
    return names


def names_vggs(k):

After Change

def names_nasnets(k):
    names = []
    for i in range(3):
        base = sum(k[:i])
        names += ["normal%d/concat:0" % (base + j + 1) for j in range(k[i])]
        if i < 2:
            names += ["reduction%d/concat:0" % (base + k[i])]
    return names


def names_vggs(k):

Instances