workaround for depthwise convolution (#1178)

* workaround for depthwise convolution

* fixe error msg

src/ngraph/runtime/cpu/pass/cpu_mat_fusion.cpp

@@ -240,7 +240,10 @@ std::shared_ptr<Node> fuse_group_convolution(const std::shared_ptr<Node>& n)
         data_label, Coordinate{0, 0, 0}, Coordinate{1, 2, 9}, Strides{1, 1, 1});
     auto slice_weights = std::make_shared<op::Slice>(
         weights_label, Coordinate{0, 0, 0}, Coordinate{2, 2, 3}, Strides{1, 1, 1});
-    auto conv = std::make_shared<op::Convolution>(slice_data, slice_weights);
+
+    auto slice_weights_label =
+        std::make_shared<pattern::op::Label>(slice_weights, nullptr, NodeVector{slice_weights});
+    auto conv = std::make_shared<op::Convolution>(slice_data, slice_weights_label);
     auto matcher = std::make_shared<pattern::Matcher>(conv, nullptr);
 
     NGRAPH_DEBUG << "In simplify_concat (group convolution) for " << n->get_name();
@@ -288,6 +291,14 @@ std::shared_ptr<Node> fuse_group_convolution(const std::shared_ptr<Node>& n)
             NGRAPH_DEBUG << "data or weights nodes are different among slices";
             return {nullptr};
         }
+
+        const size_t IC = 1;
+        auto slice = pattern_map[slice_weights_label];
+        if (weights->get_shape().at(IC) != slice->get_shape().at(IC))
+        {
+            NGRAPH_DEBUG << "slices are done on the wrong axis (IC)";
+            return {nullptr};
+        }
     }
 
     auto new_conv = std::make_shared<op::GroupConvolution>(data,