dl2c = tf.stop_gradient(dl2c) - Failed to convert object of type <class 'list'> to Tensor

[ebalda]

Traceback (most recent call last):
File "tools/train.py", line 23, in <module>
solver.train_model()
File "./solver.py", line 57, in train_model
new_loss, self.total_loss = self.construct_graph(scope)
File "./solver.py", line 45, in construct_graph
new_loss, g_loss = self.net.loss(scope, self.conv8_313, self.prior_boost_nongray, self.gt_ab_313)
File "./net.py", line 132, in loss
dl2c = tf.stop_gradient(dl2c)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 5220, in stop_gradient
"StopGradient", input=input, name=name)
.
.
.
TypeError: Failed to convert object of type <class 'list'> to Tensor. Contents: [None]. Consider casting elements to a supported type.

PS: It seems to me that this script was made using Python 2.7, which tensforflow version do you use?
Could I ask for the dependencies?

[govindvs]

It will be very helpful if you could comment or suggest another workaround.

I am using python 2.7. I am also experiencing the same trouble. what factor are u trying to extract with that step . where is it described. your input will be very helpful