1 files changed, 58 insertions, 0 deletions
diff --git a/compiler/mir-onnx-importer/Op/Flatten.cpp b/compiler/mir-onnx-importer/Op/Flatten.cpp
new file mode 100644
index 000000000..dfad6ddbf
--- /dev/null
+++ b/compiler/mir-onnx-importer/Op/Flatten.cpp
@@ -0,0 +1,58 @@
+/*
+ * 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 "Flatten.h"
+
+#include "ONNXHelpers.h"
+#include "AttributeHelpers.h"
+
+#include "mir/ops/ReshapeOp.h"
+
+namespace mir_onnx
+{
+
+void convertFlattenV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+  std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
+  mir::Graph *graph = context->getGraph();
+
+  const auto axis = getAttributeValue<int64_t>(onnx_node, "axis", 1);
+  assert(inputs.size() == 1);
+  const auto &in_shape = inputs[0]->getShape();
+  assert(axis <= in_shape.rank()); // A tensor of rank >= axis
+  int32_t first_dim = 1, second_dim = 1;
+  int32_t dim = 0;
+
+  for (; dim < axis; dim++)
+    first_dim *= in_shape.dim(dim);
+
+  for (; dim < in_shape.rank(); dim++)
+    second_dim *= in_shape.dim(dim);
+
+  mir::Shape out_shape({first_dim, second_dim}); // Output 2D tensor
+
+  auto result = createOp<mir::ops::ReshapeOp>(graph, inputs[0], out_shape)->getOutput(0);
+
+  context->setNodeOutputs(onnx_node, {result});
+}
+
+void convertFlattenV9(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+  // Other type constraints
+  convertFlattenV1(onnx_node, context);
+}
+
+} // namespace mir_onnx