commented import of gpu code in theano.tensor. They should not be there.

theano/tensor/nnet/Conv3D.py

 import theano
 from theano.tensor import basic as T
 import numpy as N
-from theano.sandbox.cuda import cuda_available, cuda_enabled
 #from util import strutil
 from theano import printing
 from theano.tensor.blas_headers import blas_header_text
@@ -570,6 +569,6 @@ def computeH(V,W,b,d):
 from . import ConvGrad3D
 from . import ConvTransp3D
 
-if cuda_available:
-    from . import GpuConv3D
-
+#from theano.sandbox.cuda import cuda_available, cuda_enabled
+#if cuda_available:
+#    from . import GpuConv3D

theano/tensor/nnet/ConvGrad3D.py

 import theano
 from theano.tensor import basic as T
-from theano.sandbox.cuda import cuda_available, cuda_enabled
 #from util import strutil
 import numpy as N
 
@@ -269,6 +268,7 @@ convGrad3D = ConvGrad3D()
 
 from Conv3D import conv3D
 from ConvTransp3D import convTransp3D
-if cuda_available:
-    from theano.sandbox.cuda import CudaNdarrayType, float32_shared_constructor
-    from . import GpuConvGrad3D
+#from theano.sandbox.cuda import cuda_available, cuda_enabled
+#if cuda_available:
+#    from theano.sandbox.cuda import CudaNdarrayType, float32_shared_constructor
+#    from . import GpuConvGrad3D

theano/tensor/nnet/ConvTransp3D.py

@@ -2,7 +2,6 @@ import numpy as N
 from theano.tensor import basic as T
 #from util import strutil
 import theano
-from theano.sandbox.cuda import cuda_available, cuda_enabled
 
 class ConvTransp3D(theano.Op):
     """ "Transpose" of Conv3D (Conv3D implements multiplication by an implicitly defined matrix W. This implements multiplication by its transpose) """
@@ -405,5 +404,6 @@ def computeR(W,b,d,H,Rshape = None):
 from Conv3D import conv3D
 from ConvGrad3D import convGrad3D
 
-if cuda_available:
-    import GpuConvTransp3D
+#from theano.sandbox.cuda import cuda_available, cuda_enabled
+#if cuda_available:
+#    import GpuConvTransp3D