Comments (2)
ch977
commented on July 29, 2024
1
I solved it.
It seems that the "concat" function of tensorflow I used (version: 1.1.0) needs the parameter order to be "tf.concat([to_dense(x) for x in tensors], axis)". Namely, the 'axis' in the second place. But the tensorflow_backend.py in Keras 1.2 is "tf.concat(axis, [to_dense(x) for x in tensors])".
So I replace the order of these two parameters in line 1222 in tensorflow_backend.py. Now it can run successfully.
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lauranceair
commented on July 29, 2024
why i have value error :
Dimension 1 in both shapes must be equal , but are 12 and 24 for 'merge _1/concat ' (op : 'ConcatV2' ) with imput sharps : ......
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