Comments (3)
dongjun-Lee
commented on August 30, 2024
I used numpy==1.15.0, and tensorflow==1.8.0. If you still have errors, please attach the error message. Thank you!
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commented on August 30, 2024
I tested it again with my own dataset, and it also returned and error as below:
I don't know how to fix it, can you check this?
Thank you!
--------------------------------------------------------------------------------------------------------
Traceback (most recent call last):
File "train.py", line 75, in <module>
_, step, loss = sess.run([model.update, model.global_step, model.loss], feed_dict=train_feed_dict)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 900, in run
run_metadata_ptr)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1104, in _run
np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
File "/usr/local/lib/python3.5/dist-packages/numpy/core/numeric.py", line 501, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
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dongjun-Lee
commented on August 30, 2024
I can't reproduce this error so I'm not sure what is the problem, but the error message is saying that you are trying to create an array from a list that isn't shaped like a multi-dimensional array. For example, numpy.array([[1,2], [2, 3, 4]]).
Could you please clone the repository again and try below?
$ git clone https://github.com/dongjun-Lee/text-summarization-tensorflow.git
$ unzip sample_data.zip
$ python train.py
If it still happens, please let me know.
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