1 files changed, 0 insertions, 66 deletions
diff --git a/tensorflow/examples/wav_to_spectrogram/main.cc b/tensorflow/examples/wav_to_spectrogram/main.cc
deleted file mode 100644
index 539e6c4fe4..0000000000
--- a/tensorflow/examples/wav_to_spectrogram/main.cc
+++ /dev/null
@@ -1,66 +0,0 @@
-/* Copyright 2017 The TensorFlow Authors. 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/examples/wav_to_spectrogram/wav_to_spectrogram.h"
-
-#include "tensorflow/core/lib/core/errors.h"
-#include "tensorflow/core/platform/init_main.h"
-#include "tensorflow/core/util/command_line_flags.h"
-
-int main(int argc, char* argv[]) {
-  // These are the command-line flags the program can understand.
-  // They define where the graph and input data is located, and what kind of
-  // input the model expects. If you train your own model, or use something
-  // other than inception_v3, then you'll need to update these.
-  tensorflow::string input_wav =
-      "tensorflow/core/kernels/spectrogram_test_data/short_test_segment.wav";
-  tensorflow::int32 window_size = 256;
-  tensorflow::int32 stride = 128;
-  float brightness = 64.0f;
-  tensorflow::string output_image = "spectrogram.png";
-  std::vector<tensorflow::Flag> flag_list = {
-      tensorflow::Flag("input_wav", &input_wav, "audio file to load"),
-      tensorflow::Flag("window_size", &window_size,
-                       "frequency sample window width"),
-      tensorflow::Flag("stride", &stride,
-                       "how far apart to place frequency windows"),
-      tensorflow::Flag("brightness", &brightness,
-                       "controls how bright the output image is"),
-      tensorflow::Flag("output_image", &output_image,
-                       "where to save the spectrogram image to"),
-  };
-  tensorflow::string usage = tensorflow::Flags::Usage(argv[0], flag_list);
-  const bool parse_result = tensorflow::Flags::Parse(&argc, argv, flag_list);
-  if (!parse_result) {
-    LOG(ERROR) << usage;
-    return -1;
-  }
-
-  // We need to call this to set up global state for TensorFlow.
-  tensorflow::port::InitMain(argv[0], &argc, &argv);
-  if (argc > 1) {
-    LOG(ERROR) << "Unknown argument " << argv[1] << "\n" << usage;
-    return -1;
-  }
-
-  tensorflow::Status wav_status = WavToSpectrogram(
-      input_wav, window_size, stride, brightness, output_image);
-  if (!wav_status.ok()) {
-    LOG(ERROR) << "WavToSpectrogram failed with " << wav_status;
-    return -1;
-  }
-
-  return 0;
-}