TensorFlow-Tutorials-for-Time-Series
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LSTM examples error
Trying to run any of the LSTM examples, results in this error:
InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [10,1] rhs shape= [10,6]
[[Node: save/Assign_17 = Assign[T=DT_FLOAT, _class=["loc:@linear_regression/weights"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](linear_regression/weights, save/restore_slice_17)]]
Seems to be related to lstm_predictor.py.
tf:split_squeeze is deprecated and will be removed after 2016-08-01. Use tf.unpack instead. Now I am working on modifying previous source code for tensorflow ver. 0.11.rc0.