TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. Use `if t is not None:` instead of `if t:`

[PellyKoo]

Thanks for sharing the code.when I try to run the source code，I have some problems below：

File "/media/gu/Document/Visual Segmention/SegNet-tensorflow-master/SegNet.py", line 94, in init
training=self.with_dropout_pl, name="dropout1")
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/core.py", line 301, in dropout
layer = Dropout(rate, noise_shape=noise_shape, seed=seed, name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/core.py", line 247, in init
self.rate = min(1., max(0., rate))
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 564, in bool
raise TypeError("Using a tf.Tensor as a Python bool is not allowed. "
TypeError: Using a tf.Tensor as a Python bool is not allowed. Use if t is not None: instead of if t: to test if a tensor is defined, and use TensorFlow ops such as tf.cond to execute subgraphs conditioned on the value of a tensor.

Could you give me some help？