Catch scipy related complex warning

theano/tensor/nnet/abstract_conv.py

@@ -10,6 +10,7 @@ from theano.gof import Apply, Op
 
 from six.moves import xrange
 
+import warnings
 import numpy
 try:
     from scipy.signal.signaltools import _valfrommode, _bvalfromboundary
@@ -458,9 +459,13 @@ class BaseAbstractConv2d(Op):
         out = numpy.zeros(out_shape, dtype=img.dtype)
         val = _valfrommode(mode)
         bval = _bvalfromboundary('fill')
+
+        with warnings.catch_warnings():
+            warnings.simplefilter('ignore', numpy.ComplexWarning)
             for b in xrange(img.shape[0]):
                 for n in xrange(kern.shape[0]):
                     for im0 in xrange(img.shape[1]):
+                        # some cast generates a warning here
                         out[b, n, ...] += _convolve2d(img[b, im0, ...],
                                                       kern[n, im0, ...],
                                                       1, val, bval, 0)

theano/tensor/nnet/conv.py

@@ -794,10 +794,13 @@ class ConvOp(OpenMPOp):
         val = _valfrommode(self.out_mode)
         bval = _bvalfromboundary('fill')
 
+        with warnings.catch_warnings():
+            warnings.simplefilter('ignore', numpy.ComplexWarning)
             for b in xrange(bsize):
                 for n in xrange(nkern):
                     zz[b, n, ...].fill(0)
                     for im0 in xrange(stacklen):
+                        # some cast generates a warning here
                         zz[b, n, ...] += _convolve2d(img2d[b, im0, ...],
                                                      filtersflipped[n, im0, ...],
                                                      1, val, bval, 0)