Major AEC3 render pipeline changes

webrtc/modules/audio_processing/aec3/power_echo_model_unittest.cc

 /*
  *  Copyright (c) 2017 The WebRTC project authors. All Rights Reserved.
  *
  *  Use of this source code is governed by a BSD-style license
  *  that can be found in the LICENSE file in the root of the source
  *  tree. An additional intellectual property rights grant can be found
  *  in the file PATENTS.  All contributing project authors may
  *  be found in the AUTHORS file in the root of the source tree.
  */
 
 #include "webrtc/modules/audio_processing/aec3/power_echo_model.h"
 
 #include <array>
 #include <string>
 #include <vector>
 
 #include "webrtc/base/random.h"
 #include "webrtc/modules/audio_processing/aec3/aec_state.h"
 #include "webrtc/modules/audio_processing/aec3/aec3_common.h"
 #include "webrtc/modules/audio_processing/aec3/aec3_fft.h"
 #include "webrtc/modules/audio_processing/aec3/echo_path_variability.h"
 #include "webrtc/modules/audio_processing/test/echo_canceller_test_tools.h"
 
 #include "webrtc/test/gtest.h"
 
 namespace webrtc {
-namespace {
-
-std::string ProduceDebugText(size_t delay, bool known_delay) {
-  std::ostringstream ss;
-  ss << "True delay: " << delay;
-  ss << ", Delay known: " << (known_delay ? "true" : "false");
-  return ss.str();
-}
-
-}  // namespace
 
 #if RTC_DCHECK_IS_ON && GTEST_HAS_DEATH_TEST && !defined(WEBRTC_ANDROID)
 
 // Verifies that the check for non-null output parameter works.
 TEST(PowerEchoModel, NullEstimateEchoOutput) {
   PowerEchoModel model;
   std::array<float, kFftLengthBy2Plus1> Y2;
   AecState aec_state;
-  FftBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
-                     std::vector<size_t>(1, model.MinFarendBufferLength()));
+  RenderBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
+                        std::vector<size_t>(1, model.MinFarendBufferLength()));
 
   EXPECT_DEATH(model.EstimateEcho(X_buffer, Y2, aec_state, nullptr), "");
 }
 
 #endif
 
-TEST(PowerEchoModel, BasicSetup) {
-  PowerEchoModel model;
-  Random random_generator(42U);
-  AecState aec_state;
-  Aec3Fft fft;
-  std::array<float, kFftLengthBy2Plus1> Y2;
-  std::array<float, kFftLengthBy2Plus1> S2;
-  std::array<float, kFftLengthBy2Plus1> E2_main;
-  std::array<float, kFftLengthBy2Plus1> E2_shadow;
-  std::array<float, kBlockSize> x_old;
-  std::array<float, kBlockSize> y;
-  std::vector<float> x(kBlockSize, 0.f);
-  FftData X;
-  FftData Y;
-  x_old.fill(0.f);
-
-  FftBuffer X_buffer(Aec3Optimization::kNone, model.MinFarendBufferLength(),
-                     std::vector<size_t>(1, model.MinFarendBufferLength()));
-
-  for (size_t delay_samples : {0, 64, 301}) {
-    DelayBuffer<float> delay_buffer(delay_samples);
-    auto model_applier = [&](int num_iterations, float y_scale,
-                             bool known_delay) {
-      for (int k = 0; k < num_iterations; ++k) {
-        RandomizeSampleVector(&random_generator, x);
-        delay_buffer.Delay(x, y);
-        std::for_each(y.begin(), y.end(), [&](float& a) { a *= y_scale; });
-
-        fft.PaddedFft(x, x_old, &X);
-        X_buffer.Insert(X);
-
-        fft.ZeroPaddedFft(y, &Y);
-        Y.Spectrum(Aec3Optimization::kNone, &Y2);
-
-        aec_state.Update(std::vector<std::array<float, kFftLengthBy2Plus1>>(
-                             10, std::array<float, kFftLengthBy2Plus1>()),
-                         known_delay ? rtc::Optional<size_t>(delay_samples)
-                                     : rtc::Optional<size_t>(),
-                         X_buffer, E2_main, E2_shadow, Y2, x,
-                         EchoPathVariability(false, false), false);
-
-        model.EstimateEcho(X_buffer, Y2, aec_state, &S2);
-      }
-    };
-
-    for (int j = 0; j < 2; ++j) {
-      bool known_delay = j == 0;
-      SCOPED_TRACE(ProduceDebugText(delay_samples, known_delay));
-      // Verify that the echo path estimates converges downwards to a fairly
-      // tight bound estimate.
-      model_applier(600, 1.f, known_delay);
-      for (size_t k = 1; k < S2.size() - 1; ++k) {
-        EXPECT_LE(Y2[k], 2.f * S2[k]);
-      }
-
-      // Verify that stronger echo paths are detected immediately.
-      model_applier(100, 10.f, known_delay);
-      for (size_t k = 1; k < S2.size() - 1; ++k) {
-        EXPECT_LE(Y2[k], 5.f * S2[k]);
-      }
-
-      // Verify that there is a delay until a weaker echo path is detected.
-      model_applier(50, 100.f, known_delay);
-      model_applier(50, 1.f, known_delay);
-      for (size_t k = 1; k < S2.size() - 1; ++k) {
-        EXPECT_LE(100.f * Y2[k], S2[k]);
-      }
-
-      // Verify that an echo path change causes the echo path estimate to be
-      // reset.
-      model_applier(600, 0.1f, known_delay);
-      model.HandleEchoPathChange(EchoPathVariability(true, false));
-      model_applier(50, 0.1f, known_delay);
-      for (size_t k = 1; k < S2.size() - 1; ++k) {
-        EXPECT_LE(10.f * Y2[k], S2[k]);
-      }
-    }
-  }
-}
 
 }  // namespace webrtc