1 files changed, 81 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/kernel/TransposeLayer.cc b/runtime/onert/backend/cpu/kernel/TransposeLayer.cc
new file mode 100644
index 000000000..31b1dd12d
--- /dev/null
+++ b/runtime/onert/backend/cpu/kernel/TransposeLayer.cc
@@ -0,0 +1,81 @@
+/*
+ * Copyright (c) 2020 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 "TransposeLayer.h"
+
+#include "OperationUtils.h"
+
+#include <cker/operation/Transpose.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+TransposeLayer::TransposeLayer() : _input(nullptr), _output(nullptr), _perm(), _rank(0)
+{
+  // DO NOTHING
+}
+
+void TransposeLayer::transposeFloat32()
+{
+  nnfw::cker::TransposeParams param;
+  param.perm_count = _rank;
+  for (int32_t i = 0; i < _rank; i++)
+  {
+    param.perm[i] = _perm[i];
+  }
+
+  nnfw::cker::Transpose(
+      param, convertTensorToCkerShape(_input), reinterpret_cast<const float *>(_input->buffer()),
+      convertTensorToCkerShape(_output), reinterpret_cast<float *>(_output->buffer()));
+}
+
+void TransposeLayer::transposeQuant8()
+{
+  // cker quant8 tanh is not implemented yet
+  throw std::runtime_error{"NYI"};
+}
+
+void TransposeLayer::configure(const operand::Tensor *input, operand::Tensor *output,
+                               const std::vector<int> &perm, int32_t rank)
+{
+  _input = input;
+  _rank = rank;
+  _perm = perm;
+  _output = output;
+}
+
+void TransposeLayer::run()
+{
+  if (_input->data_type() == OperandType::FLOAT32)
+  {
+    transposeFloat32();
+  }
+  else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+  {
+    transposeQuant8();
+  }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert