I got this error on training startup that I can't figure out.
Data is formatted as described in the README with the correct naming, 1 line per sentence.
used :
-nvidia-docker
-tensorflow-gpu 1.13.1
Traceback (most recent call last):
File "style_transfer.py", line 228, in
model = create_model(sess, args, vocab)
File "style_transfer.py", line 192, in create_model
model = Model(args, vocab)
File "style_transfer.py", line 120, in init
zeros, ones = self.labels[:half], self.labels[half:]
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/array_ops.py", line 597, in _slice_helper
_check_index(s.stop)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/array_ops.py", line 516, in _check_index
raise TypeError(_SLICE_TYPE_ERROR + ", got {!r}".format(idx))
TypeError: Only integers, slices (:), ellipsis (...), tf.newaxis (None) and scalar tf.int32/tf.int64 tensors are valid indices, got <tf.Tensor 'truediv_1:0' shape= dtype=float64>
I got this error on training startup that I can't figure out. Data is formatted as described in the README with the correct naming, 1 line per sentence. used : -nvidia-docker -tensorflow-gpu 1.13.1
Traceback (most recent call last): File "style_transfer.py", line 228, in
model = create_model(sess, args, vocab)
File "style_transfer.py", line 192, in create_model
model = Model(args, vocab)
File "style_transfer.py", line 120, in init
zeros, ones = self.labels[:half], self.labels[half:]
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/array_ops.py", line 597, in _slice_helper
_check_index(s.stop)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/array_ops.py", line 516, in _check_index
raise TypeError(_SLICE_TYPE_ERROR + ", got {!r}".format(idx))
TypeError: Only integers, slices ( dtype=float64>
:
), ellipsis (...
), tf.newaxis (None
) and scalar tf.int32/tf.int64 tensors are valid indices, got <tf.Tensor 'truediv_1:0' shape=