1 files changed, 57 insertions, 0 deletions
diff --git a/compiler/mir-onnx-importer/Op/Transpose.cpp b/compiler/mir-onnx-importer/Op/Transpose.cpp
new file mode 100644
index 000000000..82bb2f122
--- /dev/null
+++ b/compiler/mir-onnx-importer/Op/Transpose.cpp
@@ -0,0 +1,57 @@
+/*
+ * 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 "Transpose.h"
+#include "ONNXHelpers.h"
+#include "AttributeHelpers.h"
+
+#include "mir/ops/TransposeOp.h"
+
+#include <numeric>
+
+namespace mir_onnx
+{
+
+void convertTransposeV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+  const auto inputs = context->getNodeInputs(onnx_node);
+  mir::Graph *graph = context->getGraph();
+
+  assert(inputs.size() == 1);
+  auto input = inputs[0];
+
+  const auto num_axes = input->getShape().rank();
+  std::vector<std::size_t> axis_order(num_axes);
+  const auto *perm_attr = findAttribute(onnx_node, "perm");
+
+  if (perm_attr == nullptr)
+  {
+    // Reverse the dimensions.
+    std::iota(axis_order.rbegin(), axis_order.rend(), 0);
+  }
+  else
+  {
+    const auto perm = getAttributeValue<std::vector<std::int64_t>>(*perm_attr);
+    assert(perm.size() == num_axes);
+    std::copy(perm.cbegin(), perm.cend(), axis_order.begin());
+  }
+
+  auto result = createOp<mir::ops::TransposeOp>(graph, input, axis_order)->getOutput(0);
+
+  context->setNodeOutputs(onnx_node, {result});
+}
+
+} // namespace mir_onnx