Comments (2)
Yes I am also getting this error as it is not able to convert Tensorflow EagerTensor to a numpy iterable object.
The error is -: AttributeError: 'tensorflow.python.framework.ops.EagerTensor' object has no attribute 'split'
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I was running this code in google colab on windows machine. I got this error and if you are also using the same then try this solution.
==> go to --> def load_data function
==> uncomment --> file_name = path.split('/')[-1].split('.')[0]
==> commnet --> # file_name = path.split('\')[-1].split('.')[0]
then below that replace('//) with ('/') in the following line
tf.convert_to_tensor(test_path).numpy().decode('utf-8').split('/')[-1].split('.')[0]
followed by resart and run all cell
This has solved the error.
from lipnet.
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