Open ad34 opened 8 years ago
I think this is a good solution. TensorFlow works best with the float32
type but the np.sin
function creates a float64
type array. This causes an error in TensorFlow >0.9.
@arnoutaertgeerts after making the change I still have errors. as the project dont seems to be active anymore I will probably try to port it to tensorflow >0.9 on my side.
Thanks for the interesting on this github. Now, I'm working on changing this repository into Keras.
@tgjeon nice !
Hello - was this issue ever fixed? I have the same problem :/ I would like to use this code.
@ashleymaeconard I am working on time series predictions, facing similar issues as yours. Did you find a solution??
@ashleymaeconard @fayazahasan
The original poster added the fix in his post.
Add this line...
X = tf.cast(X,tf.float32)
I encountered this error from using google/seq2seq. This answer also applies.
Hi,
I m trying to run the script lstm-for-epf.py with tensorflow 0.10
the execution abort due to the following error
File ".../tensorflow/TensorFlow-Tutorials-for-Time-Series-master/lstm_predictor.py", line 117, in _lstm_model output, layers = tf.nn.rnn(stackedlstm, x, dtype=dtypes.float32) File "/Library/Python/2.7/site-packages/tensorflow/python/ops/rnn.py", line 219, in rnn (output, state) = call_cell() File "/Library/Python/2.7/site-packages/tensorflow/python/ops/rnn.py", line 206, in
callcell = lambda: cell(input, state)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/rnn_cell.py", line 812, in call
cur_inp, new_state = cell(cur_inp, cur_state)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/rnn_cell.py", line 310, in call
concat = _linear([inputs, h], 4 * self._num_units, True)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/rnn_cell.py", line 906, in _linear
res = math_ops.matmul(array_ops.concat(1, args), matrix)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/array_ops.py", line 697, in concat
name=name)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 414, in _concat
values=values, name=name)
File "/Library/Python/2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 437, in apply_op
raise TypeError("%s that don't all match." % prefix)
TypeError: Tensors in list passed to 'values' of 'Concat' Op have types [float64, float32] that don't all match.
there is a float64/32 conversion issue.
adding this in _lstm_model fix the issue.
X = tf.cast(X,tf.float32)
there is probably another better fix, I just started playing with the code :)