Imported Upstream version 1.4.0upstream/1.4.0submit/tizen/20200423.054851

1 files changed, 64 insertions, 0 deletions

diff --git a/compiler/tflchef/tools/reverse/Driver.cpp b/compiler/tflchef/tools/reverse/Driver.cpp
new file mode 100644
index 000000000..549756463
--- /dev/null
+++ b/compiler/tflchef/tools/reverse/Driver.cpp
@@ -0,0 +1,64 @@
+/*
+ * Copyright (c) 2018 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 <tflchef/RawModel.h>
+#include <tflchef/RecipeChef.h>
+
+#include <memory>
+#include <iostream>
+
+int entry(int argc, char **argv)
+{
+  if (argc != 3)
+  {
+    std::cerr << "ERROR: Failed to parse arguments" << std::endl;
+    std::cerr << std::endl;
+    std::cerr << "USAGE: " << argv[0] << " [tflite] [output]" << std::endl;
+    return 255;
+  }
+
+  // Load TF lite model from a tflite file
+  std::unique_ptr<tflchef::RawModel> rawmodel = tflchef::load_tflite(argv[1]);
+  if (rawmodel == nullptr)
+  {
+    std::cerr << "ERROR: Failed to load tflite '" << argv[1] << "'" << std::endl;
+    return 255;
+  }
+
+  const tflite::Model *tflmodel = rawmodel->model();
+  if (tflmodel == nullptr)
+  {
+    std::cerr << "ERROR: Failed to load tflite '" << argv[1] << "'" << std::endl;
+    return 255;
+  }
+
+  // Generate ModelRecipe recipe
+  std::unique_ptr<tflchef::ModelRecipe> recipe = tflchef::generate_recipe(tflmodel);
+  if (recipe.get() == nullptr)
+  {
+    std::cerr << "ERROR: Failed to generate recipe" << std::endl;
+    return 255;
+  }
+
+  // Save to a file
+  bool result = tflchef::write_recipe(argv[2], recipe);
+  if (!result)
+  {
+    std::cerr << "ERROR: Failed to write to recipe '" << argv[2] << "'" << std::endl;
+    return 255;
+  }
+  return 0;
+}