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nilboy / colorization-tf

A Tensorflow implementation of ECCV2016 paper([Colorful Image Colorization](https://arxiv.org/pdf/1603.08511.pdf))
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dl2c = tf.stop_gradient(dl2c) - Failed to convert object of type <class 'list'> to Tensor #4

Open ebalda opened 6 years ago

ebalda commented 6 years ago

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 commented 6 years ago

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