Comments (7)
recurrentshop hasn't been updated for the newest Keras yet, try downgrading to Keras 1.1.2
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@jfowkes Hi, thanks for the reply! I am using Keras 1.1.2.
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@realcrane Oh so you are, sorry! I would try with Theano 0.8.2 rather than the dev version. That combination works for me on python 2.7.
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@jfowkes I deleted my previous post because I have figured it out. Sorry that I had multiple envs with the same module but of different versions. Sometimes they cross reference. Again, I am very grateful.
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@realcrane No worries, glad to have helped!
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Are you using CPU or GPU ? I encountered this problem(TypeError: TensorType does not support iteration. Maybe you are using builtin.sum instead of theano.tensor.sum? (Maybe .max?)) on CPU. But it didnot appear on GPU. (I'm using theano backend, python 2,7 windows 64 bit, newest keras)
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@7oranger I didn't try the CPU version. Anyway, aside from python 2.7, theano 0.8.2 and keras 1.1.2 would be a safe bet.
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Related Issues (20)
- Dropout in Readout Model
- RecurrentModel without Cell
- AssertionError: Required 2 inputs, received 3.
- ImportError: cannot import name 'RecurrentSequentiaĺ'
- Error when combining teacherforce/readout with return_states
- Setting states for rnn forecasting
- update version HOT 1
- TypeError: can only concatenate tuple (not "int") to tuple HOT 3
- RNN with missing inputs
- Installation issue
- Decoder variable output_length? HOT 2
- How to transition between readout and teacher forcing?
- load model error with attention model
- Tensorflow2.0 support?
- AttributeError: 'Node' object has no attribute 'output_masks' HOT 1
- NameError: name 'K' is not defined HOT 1
- NameError: name 'activations' is not defined HOT 2
- NameError: name 'activations' is not defined HOT 2
- Error fix
- ImportError: cannot import name 'tensorflow_backend' HOT 10
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