Unable to run any Example on Ubuntu

[attaullah]

I am unable to run any of the examples on Ubuntu. Here is the error:
INFO:main.model: f1: convv, leakyrelu, BN, noise 0.00, params [96, 3, 1, 1], dim (3, 32, 32) -> (96, 30, 30)
Traceback (most recent call last):
File "./run.py", line 652, in
if train(d) is None:
File "./run.py", line 411, in train
ladder = setup_model(p)
File "./run.py", line 182, in setup_model
ladder.apply(x, y, x_only)
File "/home/attaullah/Downloads/dlbook_exercises-master/ladder.py", line 197, in apply
clean = self.act.clean = encoder(input_concat, 'clean')
File "/home/attaullah/Downloads/dlbook_exercises-master/ladder.py", line 185, in encoder
noise_std=noise)
File "/home/attaullah/Downloads/dlbook_exercises-master/ladder.py", line 350, in f
z, output_size = self.f_conv(h, spec, in_dim, gen_id('W'))
File "/home/attaullah/Downloads/dlbook_exercises-master/ladder.py", line 451, in f_conv
filter_size), border_mode=bm)
File "/home/attaullah/.local/lib/python2.7/site-packages/theano/tensor/nnet/conv.py", line 153, in conv2d
return op(input, filters)
File "/home/attaullah/.local/lib/python2.7/site-packages/theano/gof/op.py", line 615, in call
node = self.make_node(*inputs, **kwargs)
File "/home/attaullah/.local/lib/python2.7/site-packages/theano/tensor/nnet/conv.py", line 655, in make_node
"inputs(%s), kerns(%s)" % (_inputs.dtype, _kerns.dtype))
NotImplementedError: The image and the kernel must have the same type.inputs(float64), kerns(float32)

I have already set data_path in ".fuelrc" and downloaded data but no luck. I using Ubuntu 17.04, 64 bit python 2.7 and all required python packages with CPU ONLY system. any help in this regard will be much appreciated.

also on some examples:
INFO:main.model:Decoder: z_corr -> z_est
Traceback (most recent call last):
File "run.py", line 652, in
if train(d) is None:
File "run.py", line 411, in train
ladder = setup_model(p)
File "run.py", line 182, in setup_model
ladder.apply(x, y, x_only)
File "/home/attaullah/Downloads/dlbook_exercises-master/ladder.py", line 231, in apply
top_g=top_g)
File "/home/attaullah/Downloads/dlbook_exercises-master/ladder.py", line 576, in g
a1 = bi(0., 'a1')
File "/home/attaullah/Downloads/dlbook_exercises-master/ladder.py", line 499, in
bi = lambda inits, name: self.bias(inits * np.ones(num_filters),
File "/home/attaullah/.local/lib/python2.7/site-packages/numpy/core/numeric.py", line 192, in ones
a = empty(shape, dtype, order)
TypeError: 'numpy.float64' object cannot be interpreted as an index

[ed353]

If you read the stack trace, you can see that num_filters is passed into the call to np.ones as a float. If you change the dtype to int, it will work.

I did this by changing lines 464-465 in ladder.py to:

in_dim = np.prod(dtype=np.int64, a=in_dims)
out_dim = np.prod(dtype=np.int64, a=out_dims)