Comments (4)
I fixed the error by hardcoding the height and width to the input image size in core/util/downsampler if the extracted height is None. But I don't think that's how it should work...
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I also met this problem and I found this guy provide a solution in his fork.
https://github.com/bryanyzhu/UnFlow
It works on me but I am not sure if that should be the right way.
from unflow.
@MAGI-Yang Can you share the solution here? I found the repo is not existing now.
Besides, for the problem, I found tensorflow with version 1.12 could infer the shape of the tensor built by the tf.shape. but the tensorflow with version 1.7 can not do this. I wonder if this is the reason why this error occurs? Strangely, the author could run the code......
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with tensorflow v1.7
import tensorflow as tf
a= tf.ones([2,2])
b=tf.shape(a)
b
<tf.Tensor 'Shape:0' shape=(2,) dtype=int32>
c=tf.ones([b[0], b[1]])
c
<tf.Tensor 'ones_1:0' shape=(?, ?) dtype=float32>
with tensorflow v1.12
import tensorflow as tf
a= tf.ones([2,2])
b=tf.shape(a)
c=tf.ones([b[0], b[1]])
c
<tf.Tensor 'ones_1:0' shape=(2, 2) dtype=float32>
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Related Issues (20)
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