fix pool and conv3d unittest when paddle is not build with gpu

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

@@ -97,15 +97,18 @@ class TestConv3dOp(OpTest):
         }
         self.outputs = {'Output': output}
 
+    def testcudnn(self):
+        return core.is_compiled_with_cuda() and self.use_cudnn
+
     def test_check_output(self):
-        if self.use_cudnn:
+        if self.testcudnn():
             place = core.CUDAPlace(0)
             self.check_output_with_place(place, atol=1e-5)
         else:
             self.check_output()
 
     def test_check_grad(self):
-        if self.use_cudnn:
+        if self.testcudnn():
             place = core.CUDAPlace(0)
             self.check_grad_with_place(
                 place,
@@ -117,7 +120,7 @@ class TestConv3dOp(OpTest):
                 set(['Input', 'Filter']), 'Output', max_relative_error=0.03)
 
     def test_check_grad_no_filter(self):
-        if self.use_cudnn:
+        if self.testcudnn():
             place = core.CUDAPlace(0)
             self.check_grad_with_place(
                 place, ['Input'],
@@ -132,7 +135,7 @@ class TestConv3dOp(OpTest):
                 no_grad_set=set(['Filter']))
 
     def test_check_grad_no_input(self):
-        if self.use_cudnn:
+        if self.testcudnn():
             place = core.CUDAPlace(0)
             self.check_grad_with_place(
                 place, ['Filter'],

python/paddle/fluid/tests/unittests/test_pool2d_op.py

@@ -109,8 +109,11 @@ class TestPool2d_Op(OpTest):
 
         self.outputs = {'Out': output}
 
+    def testcudnn(self):
+        return core.is_compiled_with_cuda() and self.use_cudnn
+
     def test_check_output(self):
-        if self.use_cudnn:
+        if self.testcudnn():
             place = core.CUDAPlace(0)
             self.check_output_with_place(place, atol=1e-5)
         else:
@@ -119,7 +122,7 @@ class TestPool2d_Op(OpTest):
     def test_check_grad(self):
         if self.dtype == np.float16:
             return
-        if self.use_cudnn and self.pool_type != "max":
+        if self.testcudnn() and self.pool_type != "max":
             place = core.CUDAPlace(0)
             self.check_grad_with_place(
                 place, set(['X']), 'Out', max_relative_error=0.07)

python/paddle/fluid/tests/unittests/test_pool3d_op.py

@@ -118,15 +118,18 @@ class TestPool3d_Op(OpTest):
 
         self.outputs = {'Out': output.astype('float32')}
 
+    def testcudnn(self):
+        return core.is_compiled_with_cuda() and self.use_cudnn
+
     def test_check_output(self):
-        if self.use_cudnn:
+        if self.testcudnn():
             place = core.CUDAPlace(0)
             self.check_output_with_place(place, atol=1e-5)
         else:
             self.check_output()
 
     def test_check_grad(self):
-        if self.use_cudnn and self.pool_type != "max":
+        if self.testcudnn() and self.pool_type != "max":
             place = core.CUDAPlace(0)
             self.check_grad_with_place(
                 place, set(['X']), 'Out', max_relative_error=0.07)