Remove some reduction test case.

theano/tensor/signal/tests/test_pool.py

@@ -319,8 +319,6 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
             ((3, 3), (4, 2, 16, 16)),
             ((3, 2), (4, 2, 16, 16)),
             ((3, 2, 2), (3, 2, 16, 16, 16)),
-            ((2, 3, 2), (3, 2, 16, 16, 16)),
-            ((2, 2, 3), (3, 2, 16, 16, 16)),
             ((2, 2, 3, 2), (3, 2, 6, 6, 6, 5)),
         )
 
@@ -371,10 +369,8 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
         # maxpool, stride, ignore_border, input, output sizes
         examples = (
             ((1, 1), (1, 1), True, (4, 10, 16, 16), (4, 10, 16, 16)),
-            ((1, 1), (3, 3), True, (4, 10, 16, 16), (4, 10, 6, 6)),
             ((1, 1), (5, 7), True, (4, 10, 16, 16), (4, 10, 4, 3)),
             ((1, 1), (1, 1), False, (4, 10, 16, 16), (4, 10, 16, 16)),
-            ((1, 1), (3, 3), False, (4, 10, 16, 16), (4, 10, 6, 6)),
             ((1, 1), (5, 7), False, (4, 10, 16, 16), (4, 10, 4, 3)),
             ((3, 3), (1, 1), True, (4, 10, 16, 16), (4, 10, 14, 14)),
             ((3, 3), (3, 3), True, (4, 10, 16, 16), (4, 10, 5, 5)),
@@ -389,10 +385,8 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
             ((5, 3), (3, 3), False, (4, 10, 16, 16), (4, 10, 5, 6)),
             ((5, 3), (5, 7), False, (4, 10, 16, 16), (4, 10, 4, 3)),
             ((16, 16), (1, 1), True, (4, 10, 16, 16), (4, 10, 1, 1)),
-            ((16, 16), (3, 3), True, (4, 10, 16, 16), (4, 10, 1, 1)),
             ((16, 16), (5, 7), True, (4, 10, 16, 16), (4, 10, 1, 1)),
             ((16, 16), (1, 1), False, (4, 10, 16, 16), (4, 10, 1, 1)),
-            ((16, 16), (3, 3), False, (4, 10, 16, 16), (4, 10, 1, 1)),
             ((16, 16), (5, 7), False, (4, 10, 16, 16), (4, 10, 1, 1)),
             ((3,), (5,), True, (16,), (3,)),
             ((3,), (5,), True, (2, 16,), (2, 3,)),
@@ -434,9 +428,7 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
                    (8, 5), (8, 5), (8, 5))
         outputshps = ((4, 10, 4, 7), (4, 10, 5, 8), (4, 10, 2, 3),
                       (4, 10, 3, 4), (4, 10, 2, 3), (4, 10, 2, 3),
-                      (4, 10, 4, 1), (4, 10, 4, 1), (4, 10, 3, 2),
-                      (4, 10, 4, 2), (4, 10, 1, 0), (4, 10, 1, 1),
-                      (4, 10, 0, 0), (4, 10, 1, 1))
+                      (4, 10, 4, 1),]
         images = tensor.dtensor4()
         for indx in np.arange(len(maxpoolshps)):
             imvsize = imvsizs[indx]
@@ -473,7 +465,6 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
         examples = (
             ((3,), (2,), (2,), (5,)),
             ((3,), (2,), (2,), (4, 5)),
-            ((3,), (2,), (2,), (4, 2, 5)),
             ((3,), (2,), (2,), (4, 2, 5, 5)),
             ((3, 3), (2, 2), (2, 2), (4, 2, 5, 5)),
             ((4, 4), (2, 2), (1, 2), (4, 2, 5, 5)),
@@ -541,7 +532,6 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
             ((2, 3), (2, 3, 3, 4)),
             ((1, 1, 1), (2, 3, 3)),
             ((3, 2, 2), (2, 3, 3, 4)),
-            ((2, 3, 2), (2, 3, 3, 4, 4)),
             ((2, 2, 3), (2, 3, 3, 4, 4)),
         )
 
@@ -657,11 +647,8 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
             ((1, 1), (2, 3, 3, 4)),
             ((3, 2), (2, 3, 3, 4)),
             ((2, 3), (2, 3, 3, 4)),
-            ((1, 1, 1), (2, 3, 3, 4)),
             ((3, 2, 2), (2, 3, 3, 4)),
-            ((2, 3, 2), (2, 3, 3, 4)),
             ((2, 2, 3), (2, 3, 3, 4)),
-            ((2, 2, 3), (2, 1, 3, 3, 4)),
         )
 
         for (avgpoolshp, inputsize) in examples:
@@ -751,11 +738,8 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
             ((3,), (2,), (2,), (2, 10,)),
             ((3,), (2,), (2,), (2, 1, 10,)),
             ((5, 3), (3, 2), (2, 2), (1, 1, 10, 10)),
-            ((5, 3), (3, 2), (2, 2), (1, 1, 10, 10)),
             ((3, 5), (2, 3), (2, 1), (1, 1, 10, 5)),
-            ((3, 3), (3, 3), (2, 2), (1, 1, 5, 5)),
             ((5, 3, 3), (3, 2, 2), (2, 2, 2), (1, 1, 10, 5, 5)),
-            ((3, 5, 3), (2, 3, 2), (2, 1, 2), (1, 1, 5, 10, 5)),
             ((3, 3, 5), (2, 2, 3), (2, 2, 1), (1, 1, 5, 5, 10)),
         )
 
@@ -788,12 +772,8 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
             ((3,), (2,), (2,), (2, 10,)),
             ((3,), (2,), (2,), (2, 1, 10,)),
             ((5, 3), (3, 2), (2, 2), (1, 1, 10, 10)),
-            ((5, 3), (3, 2), (2, 2), (1, 1, 10, 10)),
             ((3, 5), (2, 3), (2, 1), (1, 1, 10, 5)),
-            ((3, 3), (3, 3), (2, 2), (1, 1, 5, 5)),
-            ((5, 3, 3), (3, 2, 2), (2, 2, 2), (1, 1, 10, 5, 5)),
-            ((3, 5, 3), (2, 3, 2), (2, 1, 2), (1, 1, 5, 10, 5)),
-            ((3, 3, 5), (2, 2, 3), (2, 2, 1), (1, 1, 5, 5, 10)),
+            ((5, 3, 2), (3, 2, 1), (2, 2, 2), (1, 1, 10, 5, 5)),
         )
 
         for (avgpoolshp, stridesize, padsize, inputsize) in examples:
@@ -841,11 +821,9 @@ class TestDownsampleFactorMax(utt.InferShapeTester):
             ((3,), (2,), (2,), (2, 10,)),
             ((3,), (2,), (2,), (2, 1, 10,)),
             ((5, 3), (3, 2), (2, 2), (1, 1, 10, 10)),
-            ((5, 3), (3, 2), (2, 2), (1, 1, 10, 10)),
             ((3, 5), (2, 3), (2, 1), (1, 1, 10, 5)),
             ((3, 3), (3, 3), (2, 2), (1, 1, 5, 5)),
             ((5, 3, 3), (3, 2, 2), (2, 2, 2), (1, 1, 10, 5, 5)),
-            ((3, 5, 3), (2, 3, 2), (2, 1, 2), (1, 1, 5, 10, 5)),
             ((3, 3, 5), (2, 2, 3), (2, 2, 1), (1, 1, 5, 5, 10)),
         )