remove staticmethod call

theano/gpuarray/tests/test_dnn.py

@@ -2158,11 +2158,11 @@ def dconv2di(border_mode, subsample, filter_dilation, num_groups):
 
 class Cudnn_grouped_conv(Grouped_conv_noOptim):
     mode = mode_with_gpu
-    conv2d = staticmethod(dconv2d)
-    conv2d_gradw = staticmethod(dconv2dw)
-    conv2d_gradi = staticmethod(dconv2di)
-    conv2d_op = staticmethod(dnn.GpuDnnConv)
-    conv2d_gradw_op = staticmethod(dnn.GpuDnnConvGradW)
-    conv2d_gradi_op = staticmethod(dnn.GpuDnnConvGradI)
+    conv2d = dconv2d
+    conv2d_gradw = dconv2dw
+    conv2d_gradi = dconv2di
+    conv2d_op = dnn.GpuDnnConv
+    conv2d_gradw_op = dnn.GpuDnnConvGradW
+    conv2d_gradi_op = dnn.GpuDnnConvGradI
     flip_filter = False
     is_dnn = True

theano/gpuarray/tests/test_gemmcorr.py

@@ -224,11 +224,11 @@ class TestCorrMM(unittest.TestCase):
 
 class TestGroupGpuCorr2d(Grouped_conv_noOptim):
     mode = theano.compile.get_mode("FAST_RUN")
-    conv2d = staticmethod(GpuCorrMM)
-    conv2d_gradw = staticmethod(GpuCorrMM_gradWeights)
-    conv2d_gradi = staticmethod(GpuCorrMM_gradInputs)
-    conv2d_op = staticmethod(GpuCorrMM)
-    conv2d_gradw_op = staticmethod(GpuCorrMM_gradWeights)
-    conv2d_gradi_op = staticmethod(GpuCorrMM_gradInputs)
+    conv2d = GpuCorrMM
+    conv2d_gradw = GpuCorrMM_gradWeights
+    conv2d_gradi = GpuCorrMM_gradInputs
+    conv2d_op = GpuCorrMM
+    conv2d_gradw_op = GpuCorrMM_gradWeights
+    conv2d_gradi_op = GpuCorrMM_gradInputs
     flip_filter = True
     is_dnn = False

theano/tensor/nnet/tests/test_abstract_conv.py

@@ -1702,12 +1702,12 @@ class TestConv2dGrads(unittest.TestCase):
 
 
 class Grouped_conv_noOptim(unittest.TestCase):
-    conv2d = staticmethod(theano.tensor.nnet.abstract_conv.AbstractConv2d)
-    conv2d_gradw = staticmethod(theano.tensor.nnet.abstract_conv.AbstractConv2d_gradWeights)
-    conv2d_gradi = staticmethod(theano.tensor.nnet.abstract_conv.AbstractConv2d_gradInputs)
-    conv2d_op = staticmethod(theano.tensor.nnet.abstract_conv.AbstractConv2d)
-    conv2d_gradw_op = staticmethod(theano.tensor.nnet.abstract_conv.AbstractConv2d_gradWeights)
-    conv2d_gradi_op = staticmethod(theano.tensor.nnet.abstract_conv.AbstractConv2d_gradInputs)
+    conv2d = theano.tensor.nnet.abstract_conv.AbstractConv2d
+    conv2d_gradw = theano.tensor.nnet.abstract_conv.AbstractConv2d_gradWeights
+    conv2d_gradi = theano.tensor.nnet.abstract_conv.AbstractConv2d_gradInputs
+    conv2d_op = theano.tensor.nnet.abstract_conv.AbstractConv2d
+    conv2d_gradw_op = theano.tensor.nnet.abstract_conv.AbstractConv2d_gradWeights
+    conv2d_gradi_op = theano.tensor.nnet.abstract_conv.AbstractConv2d_gradInputs
     mode = theano.Mode(optimizer=None)
     flip_filter = False
     is_dnn = False

theano/tensor/nnet/tests/test_corr.py

@@ -422,12 +422,12 @@ class TestGroupCorr2d(Grouped_conv_noOptim):
         mode = theano.compile.get_mode("FAST_RUN")
     else:
         mode = None
-    conv2d = staticmethod(corr.CorrMM)
-    conv2d_gradw = staticmethod(corr.CorrMM_gradWeights)
-    conv2d_gradi = staticmethod(corr.CorrMM_gradInputs)
-    conv2d_op = staticmethod(corr.CorrMM)
-    conv2d_gradw_op = staticmethod(corr.CorrMM_gradWeights)
-    conv2d_gradi_op = staticmethod(corr.CorrMM_gradInputs)
+    conv2d = corr.CorrMM
+    conv2d_gradw = corr.CorrMM_gradWeights
+    conv2d_gradi = corr.CorrMM_gradInputs
+    conv2d_op = corr.CorrMM
+    conv2d_gradw_op = corr.CorrMM_gradWeights
+    conv2d_gradi_op = corr.CorrMM_gradInputs
     flip_filter = True
     is_dnn = False