1 files changed, 50 insertions, 0 deletions
diff --git a/compiler/mir-onnx-importer/Op/MatMul.cpp b/compiler/mir-onnx-importer/Op/MatMul.cpp
new file mode 100644
index 000000000..6d8ea6b83
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+++ b/compiler/mir-onnx-importer/Op/MatMul.cpp
@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "MatMul.h"
+
+#include "ONNXHelpers.h"
+
+#include "mir/ops/FullyConnectedOp.h"
+
+namespace mir_onnx
+{
+
+void convertMatMulV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+  std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
+  mir::Graph *graph = context->getGraph();
+
+  assert(inputs.size() == 2);
+  auto A = inputs[0];
+  auto B = inputs[1];
+  // MatMul multiply N-dimentional matrix
+  // FullyConnected layer multiply only 2-dimentional matrix
+  if (A->getShape().rank() != 2 || B->getShape().rank() != 2)
+    throw std::runtime_error("Supported only 2D matrix multiplying!");
+  // Calculate A * B.
+  auto result = createOp<mir::ops::FullyConnectedOp>(graph, A, B)->getOutput(0);
+
+  context->setNodeOutputs(onnx_node, {result});
+}
+
+void convertMatMulV9(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+  // Other type constraints
+  convertMatMulV1(onnx_node, context);
+}
+
+} // namespace mir_onnx