remove paramter not used.

theano/tensor/nnet/conv3d2d.py

@@ -105,9 +105,8 @@ inc_diagonal_subtensor = IncDiagonalSubtensor(False)
 
 def conv3d(signals, filters,
            signals_shape=None, filters_shape=None,
-           border_mode='valid', subsample=(1, 1, 1), **kwargs):
-    """
-    Convolve spatio-temporal filters with a movie.
+           border_mode='valid'):
+    """Convolve spatio-temporal filters with a movie.
 
     :param signals: timeseries of images whose pixels have color channels.
             shape: [Ns, Ts, C, Hs, Ws]

theano/tensor/nnet/tests/test_conv3d2d.py

@@ -147,3 +147,10 @@ def test_conv3d():
         t0 = time.time()
         gnewconv3d()
         print 'grad', time.time() - t0
+
+    Ns, Ts, C, Hs, Ws = 3, 3, 3, 5, 5
+    Nf, Tf, C, Hf, Wf = 4, 2, 3, 2, 2
+
+    signals = numpy.random.rand(Ns, Ts, C, Hs, Ws).astype('float32')
+    filters = numpy.random.rand(Nf, Tf, C, Hf, Wf).astype('float32')
+    utt.verify_grad(conv3d, [signals, filters])