1 files changed, 87 insertions, 0 deletions
diff --git a/compiler/tflchef/tflite/src/Op/OneHot.cpp b/compiler/tflchef/tflite/src/Op/OneHot.cpp
new file mode 100644
index 000000000..f26ed3e7f
--- /dev/null
+++ b/compiler/tflchef/tflite/src/Op/OneHot.cpp
@@ -0,0 +1,87 @@
+/*
+ * 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 "OneHot.h"
+#include "Convert.h"
+
+namespace tflchef
+{
+
+void TFliteOpOneHot::filler(const tflite::Operator *op, TFliteImport *import,
+                            tflchef::ModelRecipe *model_recipe) const
+{
+  // only depth(second input) has constant on recipe cause depth value is used in shape inference.
+  const auto &inputs = *op->inputs();
+
+  const tflite::Tensor *tensor = import->tensors()->Get(inputs[1]);
+  assert(tensor->type() == tflite::TensorType::TensorType_INT32);
+  const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
+
+  if (buffer && buffer->data())
+  {
+    auto vec = extract_buffer<int32_t>(buffer);
+    import->set_tensor_filler(inputs[1], vec);
+  }
+
+  // on/off can be dtype of input/output. let's support INT32/FLOAT32 for now
+  for (int32_t index = 2; index <= 3; ++index)
+  {
+    const tflite::Tensor *tensor = import->tensors()->Get(inputs[index]);
+    const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
+    if (buffer && buffer->data())
+    {
+      switch (tensor->type())
+      {
+        case tflite::TensorType::TensorType_INT32:
+        {
+          auto vec = extract_buffer<int32_t>(buffer);
+          import->set_tensor_filler(inputs[index], vec);
+          break;
+        }
+
+        case tflite::TensorType::TensorType_FLOAT32:
+        {
+          auto vec = extract_buffer<float>(buffer);
+          import->set_tensor_filler(inputs[index], vec);
+          break;
+        }
+
+        default:
+          assert(false);
+          break;
+      }
+    }
+  }
+}
+
+tflchef::Operation *TFliteOpOneHot::build(const tflite::Operator *op, TFliteImport *import,
+                                          tflchef::ModelRecipe *model_recipe) const
+{
+  auto op_params = op->builtin_options_as_OneHotOptions();
+  assert(op_params != nullptr);
+
+  auto operation = model_recipe->add_operation();
+
+  operation->set_type("OneHot");
+
+  auto op_options = operation->mutable_onehot_options();
+
+  op_options->set_axis(op_params->axis());
+
+  return operation;
+}
+
+} // namespace tflchef