Automated rollback of change 152332221

Change: 152333917

6 files changed, 0 insertions, 348 deletions

diff --git a/tensorflow/examples/wav_to_spectrogram/BUILD b/tensorflow/examples/wav_to_spectrogram/BUILD
deleted file mode 100644
index 1e72324fb0..0000000000
--- a/tensorflow/examples/wav_to_spectrogram/BUILD
+++ /dev/null
@@ -1,68 +0,0 @@
-# Description:
-#   TensorFlow C++ inference example for labeling images.
-
-package(
-    default_visibility = ["//tensorflow:internal"],
-    features = [
-        "-layering_check",
-        "-parse_headers",
-    ],
-)
-
-licenses(["notice"])  # Apache 2.0
-
-exports_files(["LICENSE"])
-
-cc_library(
-    name = "wav_to_spectrogram_lib",
-    srcs = [
-        "wav_to_spectrogram.cc",
-    ],
-    hdrs = [
-        "wav_to_spectrogram.h",
-    ],
-    deps = [
-        "//tensorflow/cc:cc_ops",
-        "//tensorflow/core:framework_internal",
-        "//tensorflow/core:tensorflow",
-    ],
-)
-
-cc_binary(
-    name = "wav_to_spectrogram",
-    srcs = [
-        "main.cc",
-    ],
-    deps = [
-        ":wav_to_spectrogram_lib",
-        "//tensorflow/core:framework_internal",
-        "//tensorflow/core:tensorflow",
-    ],
-)
-
-cc_test(
-    name = "wav_to_spectrogram_test",
-    size = "medium",
-    srcs = ["wav_to_spectrogram_test.cc"],
-    deps = [
-        ":wav_to_spectrogram_lib",
-        "//tensorflow/core:lib",
-        "//tensorflow/core:lib_internal",
-        "//tensorflow/core:test",
-        "//tensorflow/core:test_main",
-    ],
-)
-
-filegroup(
-    name = "all_files",
-    srcs = glob(
-        ["**/*"],
-        exclude = [
-            "**/METADATA",
-            "**/OWNERS",
-            "bin/**",
-            "gen/**",
-        ],
-    ),
-    visibility = ["//tensorflow:__subpackages__"],
-)
diff --git a/tensorflow/examples/wav_to_spectrogram/README.md b/tensorflow/examples/wav_to_spectrogram/README.md
deleted file mode 100644
index 7f7eb43700..0000000000
--- a/tensorflow/examples/wav_to_spectrogram/README.md
+++ /dev/null
@@ -1,49 +0,0 @@
-# TensorFlow Spectrogram Example
-
-This example shows how you can load audio from a .wav file, convert it to a
-spectrogram, and then save it out as a PNG image. A spectrogram is a
-visualization of the frequencies in sound over time, and can be useful as a
-feature for neural network recognition on noise or speech.
-
-## Building
-
-To build it, run this command:
-
-```bash
-bazel build tensorflow/examples/wav_to_spectrogram/...
-```
-
-That should build a binary executable that you can then run like this:
-
-```bash
-bazel-bin/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram
-```
-
-This uses a default test audio file that's part of the TensorFlow source code,
-and writes out the image to the current directory as spectrogram.png.
-
-## Options
-
-To load your own audio, you need to supply a .wav file in LIN16 format, and use
-the `--input_audio` flag to pass in the path.
-
-To control how the spectrogram is created, you can specify the `--window_size`
-and `--stride` arguments, which control how wide the window used to estimate
-frequencies is, and how widely adjacent windows are spaced.
-
-The `--output_image` flag sets the path to save the image file to. This is
-always written out in PNG format, even if you specify a different file
-extension.
-
-If your result seems too dark, try using the `--brightness` flag to make the
-output image easier to see.
-
-Here's an example of how to use all of them together:
-
-```bash
-bazel-bin/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram \
---input_wav=/tmp/my_audio.wav \
---window=1024 \
---stride=512 \
---output_image=/tmp/my_spectrogram.png
-```
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;
-}
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();
-}
diff --git a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.h b/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.h
deleted file mode 100644
index fa8cb0abe9..0000000000
--- a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram.h
+++ /dev/null
@@ -1,31 +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.
-==============================================================================*/
-
-#ifndef THIRD_PARTY_TENSORFLOW_EXAMPLES_WAV_TO_SPECTROGRAM_WAV_TO_SPECTROGRAM_H_
-#define THIRD_PARTY_TENSORFLOW_EXAMPLES_WAV_TO_SPECTROGRAM_WAV_TO_SPECTROGRAM_H_
-
-#include "tensorflow/core/lib/core/status.h"
-#include "tensorflow/core/platform/types.h"
-
-// Runs a TensorFlow graph to convert an audio file into a visualization. Takes
-// in the path to the audio file, the window size and stride parameters
-// controlling the spectrogram creation, the brightness scaling to use, and a
-// path to save the output PNG file to.
-tensorflow::Status WavToSpectrogram(const tensorflow::string& input_wav,
-                                    tensorflow::int32 window_size,
-                                    tensorflow::int32 stride, float brightness,
-                                    const tensorflow::string& output_image);
-
-#endif  // THIRD_PARTY_TENSORFLOW_EXAMPLES_WAV_TO_SPECTROGRAM_WAV_TO_SPECTROGRAM_H_
diff --git a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram_test.cc b/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram_test.cc
deleted file mode 100644
index e599711445..0000000000
--- a/tensorflow/examples/wav_to_spectrogram/wav_to_spectrogram_test.cc
+++ /dev/null
@@ -1,37 +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/status_test_util.h"
-#include "tensorflow/core/lib/io/path.h"
-#include "tensorflow/core/lib/wav/wav_io.h"
-#include "tensorflow/core/platform/env.h"
-#include "tensorflow/core/platform/test.h"
-
-TEST(WavToSpectrogramTest, WavToSpectrogramTest) {
-  const tensorflow::string input_wav =
-      tensorflow::io::JoinPath(tensorflow::testing::TmpDir(), "input_wav.wav");
-  const tensorflow::string output_image = tensorflow::io::JoinPath(
-      tensorflow::testing::TmpDir(), "output_image.png");
-  float audio[8] = {-1.0f, 0.0f, 1.0f, 0.0f, -1.0f, 0.0f, 1.0f, 0.0f};
-  tensorflow::string wav_string;
-  TF_ASSERT_OK(
-      tensorflow::wav::EncodeAudioAsS16LEWav(audio, 44100, 1, 8, &wav_string));
-  TF_ASSERT_OK(tensorflow::WriteStringToFile(tensorflow::Env::Default(),
-                                             input_wav, wav_string));
-  TF_ASSERT_OK(WavToSpectrogram(input_wav, 4, 4, 64.0f, output_image));
-  TF_EXPECT_OK(tensorflow::Env::Default()->FileExists(output_image));
-}