TypeError: Value passed to parameter 'paddings' has DataType float32 not in list of allowed values: int32, int64

[chenguanqi]

TypeError: Value passed to parameter 'paddings' has DataType float32 not in list of allowed values: int32, int64

[chenguanqi]

I modified the function Contrast_Layer(self, input_, k_s=3) as follow:
def Contrast_Layer(self, input_, k_s=3):
# h_s = k_s / 2
# return tf.subtract(input_, tf.nn.avg_pool(tf.pad(input_, [[0, 0], [h_s, h_s], [h_s, h_s], [0, 0]], 'SYMMETRIC') ,ksize=[1, k_s, k_s, 1], strides=[1, 1, 1, 1], padding='VALID'))
h_s = k_s // 2
if k_s % 2 == 0:
return tf.subtract(input_, tf.nn.avg_pool(tf.pad(input_, [[0, 0], [h_s, h_s], [h_s, h_s], [0, 0]], 'SYMMETRIC'), ksize=[1, k_s, k_s, 1], strides=[1, 1, 1, 1], padding='VALID'))
else:
return tf.subtract(input_, tf.nn.avg_pool(tf.pad(input_, [[0, 0], [h_s, h_s+1], [h_s, h_s+1], [0, 0]], 'SYMMETRIC'),ksize=[1, k_s, k_s, 1], strides=[1, 1, 1, 1], padding='VALID'))

Is it right?

[zhanpx]

我也遇到这个问题，我直接改成 h_s = int(k_s / 2) 了

[chenguanqi]

我也遇到这个问题，我直接改成 h_s = int(k_s / 2) 了

好的，谢谢