Theano DataType Error

[Abdul Moeed]

I am running Deep Occlusion Framework developed by pierrebaque. In the RunUnaries files i am getting following error. 

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-4a99bb3ab8e4> in <module>()
      1 import UnariesNet
----> 2 uNet = UnariesNet.unariesNet()

/media/kirmani/New Volume/Office/DeepOcclusion-master/DeepOcclusion-master/UnariesNet.py in __init__(self, load_pretrained)
    117         self.train_func = theano.function(inputs=[X,t_rois,Ybb,In(p_drop, value=0.5)], 
    118                                      outputs=[T.exp(log_p_out),loss], updates=updates_loss_VGG,
--> 119                                      allow_input_downcast=True,on_unused_input='warn')
    120 
    121         self.test_func = theano.function(inputs=[X,t_rois,Ybb,In(p_drop, value=0.0)],

/home/kirmani/.local/lib/python2.7/site-packages/theano/compile/function.pyc in function(inputs, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, on_unused_input)
    318                    on_unused_input=on_unused_input,
    319                    profile=profile,
--> 320                    output_keys=output_keys)
    321     # We need to add the flag check_aliased inputs if we have any mutable or
    322     # borrowed used defined inputs

/home/kirmani/.local/lib/python2.7/site-packages/theano/compile/pfunc.pyc in pfunc(params, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, on_unused_input, output_keys)
    440                                          rebuild_strict=rebuild_strict,
    441                                          copy_inputs_over=True,
--> 442                                          no_default_updates=no_default_updates)
    443     # extracting the arguments
    444     input_variables, cloned_extended_outputs, other_stuff = output_vars

/home/kirmani/.local/lib/python2.7/site-packages/theano/compile/pfunc.pyc in rebuild_collect_shared(outputs, inputs, replace, updates, rebuild_strict, copy_inputs_over, no_default_updates)
    205                        ' function to remove broadcastable dimensions.')
    206 
--> 207             raise TypeError(err_msg, err_sug)
    208         assert update_val.type == store_into.type
    209 

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.')

I am new to theano and any help regarding this issue is highly appreciated. Thanks