TypeError: ('An update must have the same type as the original shared variable

[SeekPoint]

ub16c9@ub16c9-gpu:/media/ub16c9/fcd84300-9270-4bbd-896a-5e04e79203b7/ub16_prj/DeepUtteranceAggregation$ bash train.sh
WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
image shape (10, 2, 50, 50)
filter shape (8, 2, 3, 3)
/usr/local/lib/python2.7/dist-packages/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead.
warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated."
/media/ub16c9/fcd84300-9270-4bbd-896a-5e04e79203b7/ub16_prj/DeepUtteranceAggregation/model.py:515: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'.
self.output =theano.tensor.signal.pool.pool_2d(input=conv_out_tanh, ds=self.poolsize, ignore_border=True,mode="max")
Traceback (most recent call last):
File "main.py", line 489, in
val_frequency=args.val_frequency)
File "main.py", line 408, in main
givens=dic, on_unused_input='ignore')
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function.py", line 317, in function
output_keys=output_keys)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 449, in pfunc
no_default_updates=no_default_updates)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 208, in rebuild_collect_shared
raise TypeError(err_msg, err_sug)
TypeError: ('An update must have the same type as the original shared variable (shared_var=<TensorType(float32, matrix)>, shared_var.type=TensorType(float32, matrix), update_val=Elemwise{add,no_inplace}.0, update_val.type=TensorType(float64, matrix)).', 'If the difference is related to the broadcast pattern, you can call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function to remove broadcastable dimensions.')
ub16c9@ub16c9-gpu:/media/ub16c9/fcd84300-9270-4bbd-896a-5e04e79203b7/ub16_prj/DeepUtteranceAggregation$

[DoliteMatheo]

The same question as yours.

[cooelf]

Have you followed the recommended version of dependencies? It seems to be a version issue. Maybe you can check the version or try THEANO_FLAGS='floatX=float32'.

Our enviroment when this work was done:

Theano 0.9.0
Cuda 8.0
Cudnn 5.1
Numpy 1.13.3

Please forgive the versions might be somewhat old for now.