1 files changed, 53 insertions, 0 deletions
diff --git a/compiler/tflchef/tflite/src/Op/Transpose.cpp b/compiler/tflchef/tflite/src/Op/Transpose.cpp
new file mode 100644
index 000000000..ae97a19e2
--- /dev/null
+++ b/compiler/tflchef/tflite/src/Op/Transpose.cpp
@@ -0,0 +1,53 @@
+/*
+ * 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 "Transpose.h"
+
+#include "Convert.h"
+
+namespace tflchef
+{
+
+void TFliteOpTranspose::filler(const tflite::Operator *op, TFliteImport *import,
+                               tflchef::ModelRecipe *model_recipe) const
+{
+  const auto &inputs = *op->inputs();
+
+  const tflite::Tensor *perm_tensor = import->tensors()->Get(inputs[1]);
+  assert(perm_tensor->type() == tflite::TensorType::TensorType_INT32);
+  const tflite::Buffer *buffer = import->buffers()->Get(perm_tensor->buffer());
+  auto vec = extract_buffer<int32_t>(buffer);
+  import->set_tensor_filler(inputs[1], vec);
+}
+
+tflchef::Operation *TFliteOpTranspose::build(const tflite::Operator *op, TFliteImport *import,
+                                             tflchef::ModelRecipe *model_recipe) const
+{
+  auto op_params = op->builtin_options_as<tflite::TransposeOptions>();
+  assert(op_params != nullptr);
+  (void)op_params;
+
+  auto operation = model_recipe->add_operation();
+
+  operation->set_type("Transpose");
+
+  auto op_options = operation->mutable_transpose_options();
+  (void)op_options;
+
+  return operation;
+}
+
+} // namespace tflchef