1 files changed, 0 insertions, 97 deletions
diff --git a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc b/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc
deleted file mode 100644
index c69a359637..0000000000
--- a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.cc
+++ /dev/null
@@ -1,97 +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 <vector>
-
-#include "tensorflow/cc/ops/audio_ops.h"
-#include "tensorflow/cc/ops/const_op.h"
-#include "tensorflow/cc/ops/image_ops.h"
-#include "tensorflow/cc/ops/standard_ops.h"
-#include "tensorflow/core/framework/graph.pb.h"
-#include "tensorflow/core/framework/tensor.h"
-#include "tensorflow/core/graph/default_device.h"
-#include "tensorflow/core/graph/graph_def_builder.h"
-#include "tensorflow/core/lib/core/errors.h"
-#include "tensorflow/core/lib/core/stringpiece.h"
-#include "tensorflow/core/lib/core/threadpool.h"
-#include "tensorflow/core/lib/io/path.h"
-#include "tensorflow/core/lib/strings/stringprintf.h"
-#include "tensorflow/core/platform/logging.h"
-#include "tensorflow/core/platform/types.h"
-#include "tensorflow/core/public/session.h"
-#include "tensorflow/core/util/command_line_flags.h"
-
-using tensorflow::DT_FLOAT;
-using tensorflow::DT_UINT8;
-using tensorflow::Output;
-using tensorflow::TensorShape;
-
-// Runs a TensorFlow graph to convert an audio file into a visualization.
-tensorflow::Status WavToSpectrogram(const tensorflow::string& input_wav,
-                                    tensorflow::int32 window_size,
-                                    tensorflow::int32 stride, float brightness,
-                                    const tensorflow::string& output_image) {
-  auto root = tensorflow::Scope::NewRootScope();
-  using namespace tensorflow::ops;  // NOLINT(build/namespaces)
-  // The following block creates a TensorFlow graph that:
-  //  - Reads and decodes the audio file into a tensor of float samples.
-  //  - Creates a float spectrogram from those samples.
-  //  - Scales, clamps, and converts that spectrogram to 0 to 255 uint8's.
-  //  - Reshapes the tensor so that it's [height, width, 1] for imaging.
-  //  - Encodes it as a PNG stream and saves it out to a file.
-  Output file_reader = ReadFile(root.WithOpName("input_wav"), input_wav);
-  DecodeWav wav_decoder =
-      DecodeWav(root.WithOpName("wav_decoder"), file_reader);
-  Output spectrogram = AudioSpectrogram(root.WithOpName("spectrogram"),
-                                        wav_decoder.audio, window_size, stride);
-  Output brightness_placeholder =
-      Placeholder(root.WithOpName("brightness_placeholder"), DT_FLOAT,
-                  Placeholder::Attrs().Shape(TensorShape({})));
-  Output mul = Mul(root.WithOpName("mul"), spectrogram, brightness_placeholder);
-  Output min_const = Const(root.WithOpName("min_const"), 255.0f);
-  Output min = Minimum(root.WithOpName("min"), mul, min_const);
-  Output cast = Cast(root.WithOpName("cast"), min, DT_UINT8);
-  Output expand_dims_const = Const(root.WithOpName("expand_dims_const"), -1);
-  Output expand_dims =
-      ExpandDims(root.WithOpName("expand_dims"), cast, expand_dims_const);
-  Output squeeze = Squeeze(root.WithOpName("squeeze"), expand_dims,
-                           Squeeze::Attrs().SqueezeDims({0}));
-  Output png_encoder = EncodePng(root.WithOpName("png_encoder"), squeeze);
-  WriteFile file_writer =
-      WriteFile(root.WithOpName("output_image"), output_image, png_encoder);
-  tensorflow::GraphDef graph;
-  TF_RETURN_IF_ERROR(root.ToGraphDef(&graph));
-
-  // Build a session object from this graph definition. The power of TensorFlow
-  // is that you can reuse complex computations like this, so usually we'd run a
-  // lot of different inputs through it. In this example, we're just doing a
-  // one-off run, so we'll create it and then use it immediately.
-  std::unique_ptr<tensorflow::Session> session(
-      tensorflow::NewSession(tensorflow::SessionOptions()));
-  TF_RETURN_IF_ERROR(session->Create(graph));
-
-  // We're passing in the brightness as an input, so create a tensor to hold the
-  // value.
-  tensorflow::Tensor brightness_tensor(DT_FLOAT, TensorShape({}));
-  brightness_tensor.scalar<float>()() = brightness;
-
-  // Run the session to analyze the audio and write out the file.
-  TF_RETURN_IF_ERROR(
-      session->Run({{"brightness_placeholder", brightness_tensor}}, {},
-                   {"output_image"}, nullptr));
-  return tensorflow::Status::OK();
-}