add unit test for input's size is 1x1

python/paddle/fluid/tests/unittests/test_conv2d_op.py

@@ -210,6 +210,19 @@ class TestWithDilation(TestConv2dOp):
         self.groups = 3
 
 
+class TestWithInput1x1Filter1x1(TestConv2dOp):
+    def init_test_case(self):
+        self.pad = [0, 0]
+        self.stride = [1, 1]
+        self.input_size = [2, 3, 1, 1]  # NCHW
+        assert np.mod(self.input_size[1], self.groups) == 0
+        f_c = self.input_size[1] / self.groups
+        self.filter_size = [6, f_c, 1, 1]
+
+    def init_group(self):
+        self.groups = 3
+
+
 #----------------Conv2dCUDNN----------------
 class TestCUDNN(TestConv2dOp):
     def init_op_type(self):
@@ -241,6 +254,12 @@ class TestCUDNNWith1x1(TestWith1x1):
         self.op_type = "conv2d"
 
 
+class TestCUDNNWithInput1x1Filter1x1(TestWithInput1x1Filter1x1):
+    def init_op_type(self):
+        self.use_cudnn = True
+        self.op_type = "conv2d"
+
+
 class TestDepthwiseConv(TestConv2dOp):
     def init_test_case(self):
         self.pad = [1, 1]
@@ -265,7 +284,8 @@ class TestDepthwiseConv2(TestConv2dOp):
         self.op_type = "depthwise_conv2d"
 
 
-#  cudnn v5 does not support dilation conv.
+# Please Don't remove the following code.
+# Currently, CI use cudnn V5.0 which not support dilation conv.
 # class TestCUDNNWithDilation(TestWithDilation):
 #     def init_op_type(self):
 #         self.op_type = "conv_cudnn"

python/paddle/fluid/tests/unittests/test_conv2d_transpose_op.py

@@ -200,7 +200,8 @@ class TestCUDNNWithStride(TestWithStride):
         self.op_type = "conv2d_transpose"
 
 
-# #cudnn v5 does not support dilation conv.
+# Please Don't remove the following code.
+# Currently, CI use cudnn V5.0 which not support dilation conv.
 # class TestCUDNNWithDilation(TestWithDilation):
 #     def init_test_case(self):
 #         self.pad = [1, 1]

python/paddle/fluid/tests/unittests/test_conv3d_op.py

@@ -200,6 +200,22 @@ class TestWith1x1(TestConv3dOp):
         self.groups = 3
 
 
+class TestWithInput1x1Filter1x1(TestConv3dOp):
+    def init_test_case(self):
+        self.pad = [0, 0, 0]
+        self.stride = [1, 1, 1]
+        self.input_size = [2, 3, 1, 1, 1]  # NCHW
+        assert np.mod(self.input_size[1], self.groups) == 0
+        f_c = self.input_size[1] / self.groups
+        self.filter_size = [6, f_c, 1, 1, 1]
+
+    def init_dilation(self):
+        self.dilations = [1, 1, 1]
+
+    def init_group(self):
+        self.groups = 3
+
+
 class TestWithDilation(TestConv3dOp):
     def init_test_case(self):
         self.pad = [0, 0, 0]
@@ -240,6 +256,12 @@ class TestWith1x1CUDNN(TestWith1x1):
         self.op_type = "conv3d"
 
 
+class TestWithInput1x1Filter1x1CUDNN(TestWithInput1x1Filter1x1):
+    def init_op_type(self):
+        self.use_cudnn = True
+        self.op_type = "conv3d"
+
+
 # FIXME(typhoonzero): find a way to determine if
 # using cudnn > 6 in python
 # class TestWithDilationCUDNN(TestWithDilation):

python/paddle/fluid/tests/unittests/test_conv3d_transpose_op.py

@@ -207,7 +207,8 @@ class TestCUDNNWithStride(TestWithStride):
         self.op_type = "conv3d_transpose"
 
 
-# #cudnn v5 does not support dilation conv.
+# Please Don't remove the following code.
+# Currently, CI use cudnn V5.0 which not support dilation conv.
 # class TestCUDNNWithDilation(TestWithDilation):
 #     def init_test_case(self):
 #         self.pad = [1, 1, 1]