Comments (6)
Fixed it!
From a different issue
I ran into the same error. It looks like changing the following two lines in
layers.py
:x2 = tf.ceil(x)
and
y2 = tf.ceil(y)
into
x2 = tf.minimum(tf.ceil(x), tf.cast(tf.shape(img_feat)[0], tf.float32) - 1)
and
y2 = tf.minimum(tf.ceil(y), tf.cast(tf.shape(img_feat)[1], tf.float32) - 1)
will bypass the error. Not sure if this is the correct solution.
Then make sure to run python setup.py install
again
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I also have this issue, but on tensorflow 1.3 and cuda 10.0.
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I even installed cuda version 8.0, is there a specific numpy version that was used? Or any other versions?
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@jspih Thanks very much! I will try!
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GPU version doesn‘t have any problem. However, CPU should modify x2 and y2.
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Hi,
Do you know how to download the dataset and unzip it from the link below?
https://drive.google.com/open?id=131dH36qXCabym1JjSmEpSQZg4dmZVQid
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Related Issues (20)
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