1 files changed, 0 insertions, 73 deletions
diff --git a/contrib/detection/detection.cpp b/contrib/detection/detection.cpp
deleted file mode 100644
index 8a988ccf5..000000000
--- a/contrib/detection/detection.cpp
+++ /dev/null
@@ -1,73 +0,0 @@
-/*
- * 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 <tensorflow/core/public/session.h>
-
-#include <iostream>
-#include <stdexcept>
-
-#include <cassert>
-#include <cstring>
-
-#include "misc/benchmark.h"
-
-#define CHECK_TF(e) {                             \
-  if(!(e).ok())                                   \
-  {                                               \
-    throw std::runtime_error{"'" #e "' FAILED"};  \
-  }                                               \
-}
-
-int main(int argc, char **argv)
-{
-  if (argc < 2)
-  {
-    std::cerr << "USAGE: " << argv[0] << " [T/F model path] [output 0] [output 1] ..." << std::endl;
-    return 255;
-  }
-
-  std::vector<std::string> output_nodes;
-
-  for (int argn = 2; argn < argc; ++argn)
-  {
-    output_nodes.emplace_back(argv[argn]);
-  }
-
-  tensorflow::Session* sess;
-
-  CHECK_TF(tensorflow::NewSession(tensorflow::SessionOptions(), &sess));
-
-  tensorflow::GraphDef graph_def;
-
-  CHECK_TF(ReadBinaryProto(tensorflow::Env::Default(), argv[1], &graph_def));
-  CHECK_TF(sess->Create(graph_def));
-
-  tensorflow::Tensor input(tensorflow::DT_FLOAT, tensorflow::TensorShape({1, 320, 320, 3}));
-  std::vector<tensorflow::Tensor> outputs;
-
-  for (uint32_t n = 0; n < 5; ++n)
-  {
-    std::chrono::milliseconds elapsed(0);
-
-    nnfw::misc::benchmark::measure(elapsed) << [&] (void) {
-      CHECK_TF(sess->Run({{"input_node", input}}, output_nodes, {}, &outputs));
-    };
-
-    std::cout << "Takes " << elapsed.count() << "ms" << std::endl;
-  }
-
-  return 0;
-}