1 files changed, 0 insertions, 56 deletions
diff --git a/tensorflow/core/kernels/spectrogram_convert_test_data.cc b/tensorflow/core/kernels/spectrogram_convert_test_data.cc
deleted file mode 100644
index bae13c0213..0000000000
--- a/tensorflow/core/kernels/spectrogram_convert_test_data.cc
+++ /dev/null
@@ -1,56 +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/core/kernels/spectrogram_test_utils.h"
-
-#include "tensorflow/core/lib/core/errors.h"
-#include "tensorflow/core/lib/core/status.h"
-#include "tensorflow/core/platform/init_main.h"
-#include "tensorflow/core/platform/logging.h"
-
-namespace tensorflow {
-namespace wav {
-
-// This takes a CSV file representing an array of complex numbers, and saves out
-// a version using a binary format to save space in the repository.
-Status ConvertCsvToRaw(const string& input_filename) {
-  std::vector<std::vector<std::complex<double>>> input_data;
-  ReadCSVFileToComplexVectorOrDie(input_filename, &input_data);
-  const string output_filename = input_filename + ".bin";
-  if (!WriteComplexVectorToRawFloatFile(output_filename, input_data)) {
-    return errors::InvalidArgument("Failed to write raw float file ",
-                                   input_filename);
-  }
-  LOG(INFO) << "Wrote raw file to " << output_filename;
-  return Status::OK();
-}
-
-}  // namespace wav
-}  // namespace tensorflow
-
-int main(int argc, char* argv[]) {
-  tensorflow::port::InitMain(argv[0], &argc, &argv);
-  if (argc < 2) {
-    LOG(ERROR) << "You must supply a CSV file as the first argument";
-    return 1;
-  }
-  tensorflow::string filename(argv[1]);
-  tensorflow::Status status = tensorflow::wav::ConvertCsvToRaw(filename);
-  if (!status.ok()) {
-    LOG(ERROR) << "Error processing '" << filename << "':" << status;
-    return 1;
-  }
-  return 0;
-}