Automated g4 rollback of changelist 188433328

PiperOrigin-RevId: 188525171

1 files changed, 0 insertions, 154 deletions

diff --git a/tensorflow/contrib/lite/kernels/mfcc.cc b/tensorflow/contrib/lite/kernels/mfcc.cc
deleted file mode 100644
index 5dfcf8067e..0000000000
--- a/tensorflow/contrib/lite/kernels/mfcc.cc
+++ /dev/null
@@ -1,154 +0,0 @@
-/* Copyright 2018 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/contrib/lite/kernels/internal/mfcc.h"
-#include "third_party/flatbuffers/include/flatbuffers/flexbuffers.h"
-#include "tensorflow/contrib/lite/builtin_op_data.h"
-#include "tensorflow/contrib/lite/context.h"
-#include "tensorflow/contrib/lite/kernels/internal/mfcc_dct.h"
-#include "tensorflow/contrib/lite/kernels/internal/mfcc_mel_filterbank.h"
-#include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
-#include "tensorflow/contrib/lite/kernels/internal/reference/reference_ops.h"
-#include "tensorflow/contrib/lite/kernels/internal/tensor.h"
-#include "tensorflow/contrib/lite/kernels/kernel_util.h"
-#include "tensorflow/contrib/lite/kernels/op_macros.h"
-
-namespace tflite {
-namespace ops {
-namespace custom {
-namespace mfcc {
-
-enum KernelType {
-  kReference,
-};
-
-typedef struct {
-  float upper_frequency_limit;
-  float lower_frequency_limit;
-  int filterbank_channel_count;
-  int dct_coefficient_count;
-} TfLiteMfccParams;
-
-constexpr int kInputTensorWav = 0;
-constexpr int kInputTensorRate = 1;
-constexpr int kOutputTensor = 0;
-
-void* Init(TfLiteContext* context, const char* buffer, size_t length) {
-  auto* data = new TfLiteMfccParams;
-
-  const uint8_t* buffer_t = reinterpret_cast<const uint8_t*>(buffer);
-
-  const flexbuffers::Map& m = flexbuffers::GetRoot(buffer_t, length).AsMap();
-  data->upper_frequency_limit = m["upper_frequency_limit"].AsInt64();
-  data->lower_frequency_limit = m["lower_frequency_limit"].AsInt64();
-  data->filterbank_channel_count = m["filterbank_channel_count"].AsInt64();
-  data->dct_coefficient_count = m["dct_coefficient_count"].AsInt64();
-  return data;
-}
-
-void Free(TfLiteContext* context, void* buffer) {
-  delete reinterpret_cast<TfLiteMfccParams*>(buffer);
-}
-
-TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
-  auto* params = reinterpret_cast<TfLiteMfccParams*>(node->user_data);
-
-  TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
-  TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
-
-  TfLiteTensor* inputWav = GetInput(context, node, kInputTensorWav);
-  TfLiteTensor* inputRate = GetInput(context, node, kInputTensorRate);
-  TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
-
-  TF_LITE_ENSURE_EQ(context, NumDimensions(inputWav), 3);
-  TF_LITE_ENSURE_EQ(context, NumDimensions(inputRate), 1);
-
-  TF_LITE_ENSURE_EQ(context, output->type, kTfLiteFloat32);
-  TF_LITE_ENSURE_EQ(context, inputWav->type, output->type);
-
-  TfLiteIntArray* output_size = TfLiteIntArrayCreate(3);
-  output_size->data[0] = inputWav->dims->data[0];
-  output_size->data[1] = inputWav->dims->data[1];
-  output_size->data[2] = params->dct_coefficient_count;
-
-  return context->ResizeTensor(context, output, output_size);
-}
-
-// Input is a single squared-magnitude spectrogram frame. The input spectrum
-// is converted to linear magnitude and weighted into bands using a
-// triangular mel filterbank, and a discrete cosine transform (DCT) of the
-// values is taken. Output is populated with the lowest dct_coefficient_count
-// of these values.
-template <KernelType kernel_type>
-TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
-  auto* params = reinterpret_cast<TfLiteMfccParams*>(node->user_data);
-
-  TfLiteTensor* inputWav = GetInput(context, node, kInputTensorWav);
-  TfLiteTensor* inputRate = GetInput(context, node, kInputTensorRate);
-  TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
-
-  const int32 sample_rate = *GetTensorData<int>(inputRate);
-
-  const int spectrogram_channels = inputWav->dims->data[2];
-  const int spectrogram_samples = inputWav->dims->data[1];
-  const int audio_channels = inputWav->dims->data[0];
-
-  internal::Mfcc mfcc;
-  mfcc.set_upper_frequency_limit(params->upper_frequency_limit);
-  mfcc.set_lower_frequency_limit(params->lower_frequency_limit);
-  mfcc.set_filterbank_channel_count(params->filterbank_channel_count);
-  mfcc.set_dct_coefficient_count(params->dct_coefficient_count);
-
-  mfcc.Initialize(spectrogram_channels, sample_rate);
-
-  const float* spectrogram_flat = GetTensorData<float>(inputWav);
-  float* output_flat = GetTensorData<float>(output);
-
-  for (int audio_channel = 0; audio_channel < audio_channels; ++audio_channel) {
-    for (int spectrogram_sample = 0; spectrogram_sample < spectrogram_samples;
-         ++spectrogram_sample) {
-      const float* sample_data =
-          spectrogram_flat +
-          (audio_channel * spectrogram_samples * spectrogram_channels) +
-          (spectrogram_sample * spectrogram_channels);
-      std::vector<double> mfcc_input(sample_data,
-                                     sample_data + spectrogram_channels);
-      std::vector<double> mfcc_output;
-      mfcc.Compute(mfcc_input, &mfcc_output);
-      TF_LITE_ENSURE_EQ(context, params->dct_coefficient_count,
-                        mfcc_output.size());
-      float* output_data = output_flat +
-                           (audio_channel * spectrogram_samples *
-                            params->dct_coefficient_count) +
-                           (spectrogram_sample * params->dct_coefficient_count);
-      for (int i = 0; i < params->dct_coefficient_count; ++i) {
-        output_data[i] = mfcc_output[i];
-      }
-    }
-  }
-
-  return kTfLiteOk;
-}
-
-}  // namespace mfcc
-
-TfLiteRegistration* Register_MFCC() {
-  static TfLiteRegistration r = {mfcc::Init, mfcc::Free, mfcc::Prepare,
-                                 mfcc::Eval<mfcc::kReference>};
-  return &r;
-}
-
-}  // namespace custom
-}  // namespace ops
-}  // namespace tflite