Traceback (most recent call last):
File "train.py", line 42, in
lr_init=lr_init, lr_decay=lr_decay, vgg_weight_path=vgg_path)
File "/home/atsushi/keras/work/keras-image-segmentation/model/fcn.py", line 111, in fcn_8s
x = Lambda(lambda x: tf.image.resize_images(x, (x.shape[1] * 2, x.shape[2] * 2)))(x)
File "/home/atsushi/.local/lib/python2.7/site-packages/keras/engine/topology.py", line 617, in call
output = self.call(inputs, **kwargs)
File "/home/atsushi/.local/lib/python2.7/site-packages/keras/layers/core.py", line 663, in call
return self.function(inputs, **arguments)
File "/home/atsushi/keras/work/keras-image-segmentation/model/fcn.py", line 111, in
x = Lambda(lambda x: tf.image.resize_images(x, (x.shape[1] * 2, x.shape[2] * 2)))(x)
File "/home/atsushi/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/image_ops_impl.py", line 746, in resize_images
raise ValueError(''size' must be a 1-D int32 Tensor')
ValueError: 'size' must be a 1-D int32 Tensor