Convs tests touch-ups

Author: fchollet

tests/test_shape_inference.py

@@ -88,11 +88,11 @@ def test_Convolution1D():
 
 def test_Convolution2D():
     for border_mode in ['same', 'valid']:
-        for nb_row, nb_col in [(2, 2), (3, 3)]:
+        for nb_row, nb_col in [(3, 3), (4, 4)]:
             for subsample in [(1, 1), (2, 2), (3, 3)]:
                 if (subsample[0] > nb_row or subsample[1] > nb_col) and border_mode == 'same':
                     continue
-                for input_data_shape in [(2, 1, 4, 4), (2, 1, 5, 5)]:
+                for input_data_shape in [(2, 1, 5, 5), (2, 1, 6, 6)]:
                     layer = Convolution2D(nb_filter=1, nb_row=nb_row,
                                           nb_col=nb_row,
                                           border_mode=border_mode,
@@ -101,7 +101,7 @@ def test_Convolution2D():
                     input_data = np.random.random(input_data_shape)
                     check_layer_output_shape(layer, input_data)
 
-                for input_data_shape in [(2, 3, 3, 1)]:
+                for input_data_shape in [(2, 5, 5, 1)]:
                     layer = Convolution2D(nb_filter=1, nb_row=nb_row,
                                           nb_col=nb_row,
                                           border_mode=border_mode,