TypeError: Cannot convert Type TensorType(float32, matrix) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(float64, matrix). You can try to manually convert Subtensor{int64:int64:}.0 into a TensorType(float64, matrix).

[hatimuradin]

I just tried to run your code like the example in the README file:
nobody:MADE-ICML2015 apple$ python -u trainMADE.py dna 1e-5 0.95 -1 -1 Full 300 100 30 False 0 adadelta 0 [500] 1234 False Output False hinge Orthogonal 0

DEPRECATION WARNING: softsign was moved from theano.sandbox.softsign to theano.tensor.nnet.nnet

Resuming experiment (ef0f220f13f115d34798a5f7e16e8c539e4eaee42564d07ed8f893b7fadaa8a0).

Loading dataset [dna] ... (Dim:180 Train:1400 Valid:600 Test:1186) DONE in 0.0163 seconds.

Initializing MADE ...

Traceback (most recent call last):
File "trainMADE.py", line 287, in
model = build_model(dataset, trainingparams, hyperparams, hyperparams['hidden_sizes'])
File "trainMADE.py", line 140, in build_model
mask_distribution=hyperparams['mask_distribution'])
File "/Users/apple/Desktop/Thesis/MADE-ICML2015/MADE/made.py", line 129, in init
on_unused_input='ignore') # ignore for when dropout is absent
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/function.py", line 326, in function
output_keys=output_keys)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 449, in pfunc
no_default_updates=no_default_updates)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 219, in rebuild_collect_shared
cloned_v = clone_v_get_shared_updates(v, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 93, in clone_v_get_shared_updates
clone_v_get_shared_updates(i, copy_inputs_over)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/compile/pfunc.py", line 96, in clone_v_get_shared_updates
[clone_d[i] for i in owner.inputs], strict=rebuild_strict)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/gof/graph.py", line 238, in clone_with_new_inputs
new_inputs[i] = curr.type.filter_variable(new)
File "/Users/apple/miniconda2/lib/python2.7/site-packages/theano/tensor/type.py", line 235, in filter_variable
self=self))
TypeError: Cannot convert Type TensorType(float32, matrix) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(float64, matrix). You can try to manually convert Subtensor{int64:int64:}.0 into a TensorType(float64, matrix).

[mgermain]

3 things from the top of my head.

1. Delete experiments/ef0f220f13f115d34798a5f7e16e8c539e4eaee42564d07ed8f893b7fadaa8a0
2. Make sure your theano is in float32.
3. You might take a look at the head which has been updated to be compatible with he new version and backend of Theano.

Should not be necessary be here's my ~/.theanorc:

[global]
device=cuda
#device=gpu
floatX=float32
exception_verbosity=high
#lib.cnmem=0.85
gpuarray.preallocate=0.85

[nvcc]
fastmath = True

The commented parts are for the old backend.

[hatimuradin]

I appreciate your help, my foat32 problem solved by configuring theanorc file.

[mgermain]

Great.