ValueError: Shape (32, 768) must have rank 3
Opened this issue · 4 comments
I am getting the following error on running this on version 0.9.
I have already #from tensorflow.models.rnn import rnn, rnn_cell statements and replaced them with tf.nn.**.
[] Building Deep LSTM...
[] Loading vocab from data/cnn/cnn.vocab100000 ...
[*] Loading vocab finished.
Traceback (most recent call last):
File "main.py", line 49, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
File "main.py", line 44, in main
FLAGS.data_dir, FLAGS.dataset)
File "/home/development/samarth/Workspace/Accenture_VA/attentive-reader-tensorflow-master/model/deep_lstm.py", line 91, in train
self.prepare_model(data_dir, dataset_name, vocab_size)
File "/home/development/samarth/Workspace/Accenture_VA/attentive-reader-tensorflow-master/model/deep_lstm.py", line 69, in prepare_model
for idx, nstarts in enumerate(tf.unpack(self.nstarts))])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 251, in slice
return gen_array_ops.slice(input, begin, size, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1634, in _slice
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 704, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2262, in create_op
set_shapes_for_outputs(ret)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1702, in set_shapes_for_outputs
shapes = shape_func(op)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1054, in _SliceShape
input_shape.assert_has_rank(ndims)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_shape.py", line 621, in assert_has_rank
raise ValueError("Shape %s must have rank %d" % (self, rank))
ValueError: Shape (32, 768) must have rank 3
hi, have you solved the issue above by your own? @samarth92 Thanks
i have the same issue too, someone can help??
i have the same issue too, someone can help??
Hi recently I'm do the same topic. I face the same issue. have you solved this issue?
have you solved this issue ? @nicolettiant89 Really thank you!