fix test with gpu conv op.

theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py

 import sys, time
 import numpy
+import theano
+
 # Skip test if cuda_ndarray is not available.
 from nose.plugins.skip import SkipTest
 import theano.sandbox.cuda as cuda_ndarray
 if cuda_ndarray.enable_cuda == False:
     raise SkipTest('Optional package cuda disabled')
     
+cuda_tensor4 = cuda_ndarray.CudaNdarrayType([False]*4)
+
 def py_conv_valid_numpy(img, kern):
     assert img.shape[1] == kern.shape[1]
     outshp = (img.shape[0], kern.shape[0], 
@@ -76,15 +80,19 @@ def _params_allgood(ishape, kshape, mode, subsample=(1,1), img_stride=(1,1), ker
     t2 = None
     rval = True
     try:
+    if True:
         t0 = time.time()
         cpuval = py_conv_scipy(npy_img, npy_kern, mode, subsample)
         t1 = time.time()
-        gpuval = cuda_ndarray.conv(img, kern, mode, subsample=subsample,
-                                   version=version, verbose=verbose)
+        i = cuda_tensor4()
+        k = cuda_tensor4()
+        op = theano.sandbox.cuda.blas.GpuConv(border_mode=mode,subsample=subsample, version=version, verbose=verbose)(i,k)
+#                                        imshp=ishape[1:],kshp=kshape[2:],nkern=kshape[0],bsize=ishape[0])
+        f=theano.function([i,k],op)
+        gpuval = f(img,kern)
         t2 = time.time()
         for i in range(nb_iter):
-            gpuval2 = cuda_ndarray.conv(img, kern, mode, subsample=subsample,
-                                        version=version, verbose=0)
+            gpuval2 = f(img,kern)
             assert numpy.allclose(numpy.asarray(gpuval),numpy.asarray(gpuval2))
             assert (numpy.asarray(gpuval)==numpy.asarray(gpuval2)).all()
         gpuval = numpy.asarray(gpuval)
@@ -105,6 +113,7 @@ def _params_allgood(ishape, kshape, mode, subsample=(1,1), img_stride=(1,1), ker
         approx_fp /= 1e6
         cpu_mflops = approx_fp / (t1-t0)
         gpu_mflops = approx_fp / (t2-t1)
+        if verbose>0:
             print >> sys.stdout, '%15s'% str(ishape), '%15s'% str(kshape),
             print >> sys.stdout, '%12.5f  %7.2f %7.2f %7.1f' % (approx_fp, 
 		cpu_mflops, gpu_mflops,(t1-t0)/(t2-t1))
@@ -136,6 +145,7 @@ def _params_allgood(ishape, kshape, mode, subsample=(1,1), img_stride=(1,1), ker
     return rval
 
 def exec_conv(version, shapes, verbose, random, mode, print_=None, rtol=1e-5, ones=False):
+    if verbose>0:
         _params_allgood_header()
     nb_failed = 0
     nb_tests = 0