Question

以下是我的代码：

def cos_dist(self,net_1,net_2,sess):
    #result
    result=tf.div(product_norm,denom)
    r=tf.cond(result>0.2,self.truef,self.falsef)

    return r

def truef(self):
    return 1
def falsef(self):
    return 0

这里我对结果应用阈值处理。如果它的值大于0.2，则分配1，否则分配0.但是我不断收到此错误。请告诉我我做错了什么。

回溯：

Traceback (most recent call last):
  File "f.py", line 326, in <module>
    vgg = vgg16(imgs1,imgs2, 'vgg16_weights.npz', sess)
  File "f.py", line 39, in __init__
    self.cd=self.cos_dist(self.o1,self.o2,sess)
  File "f.py", line 312, in cos_dist
    r=tf.cond(result>0.2,self.truef,self.falsef)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 1776, in cond
    orig_res, res_t = context_t.BuildCondBranch(fn1)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 1703, in BuildCondBranch
    real_v = self._ProcessOutputTensor(v)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 1661, in _ProcessOutputTensor
    if val.name not in self._values:
AttributeError: 'int' object has no attribute 'name'

Answer 1

回调应该返回张量，而不是整数。尝试：

one = tf.constant(1, dtype=tf.int32, name='one')
zero = tf.constant(0, dtype=tf.int32, name='zero')

并在课堂内：

def truef(self):
    return one

def falsef(self):
    return zero

AtributeError：int对象没有属性名称

1 个答案: