Move libtorchaudio to dedicated directory

Differential Revision: D50086556

Pull Request resolved: https://github.com/pytorch/audio/pull/3648

CMakeLists.txt

@@ -165,10 +165,10 @@ else()
   message(STATUS "Could not find ccache. Consider installing ccache to speed up compilation.")
 endif()
 
-add_subdirectory(src/torchaudio/csrc)
+add_subdirectory(src/libtorchaudio)
 if (BUILD_SOX)
   add_subdirectory(third_party/sox)
-  add_subdirectory(src/torchaudio/csrc/sox)
+  add_subdirectory(src/libtorchaudio/sox)
 endif()
 if (USE_FFMPEG)
   if (DEFINED ENV{FFMPEG_ROOT})
@@ -183,7 +183,7 @@ if (BUILD_CUDA_CTC_DECODER)
   if (NOT USE_CUDA)
     message(FATAL "BUILD_CUDA_CTC_DECODER=1 but USE_CUDA=0.")
   endif()
-  add_subdirectory(src/torchaudio/csrc/cuctc)
+  add_subdirectory(src/libtorchaudio/cuctc)
 endif()
 if (BUILD_CPP_TEST)
   add_subdirectory(test/cpp)

src/torchaudio/csrc/cuctc/src/bitonic_topk/bitonic_sort.cuh → src/libtorchaudio/cuctc/src/bitonic_topk/bitonic_sort.cuh

@@ -167,8 +167,9 @@ class bitonic {
    * You can think of this function in two ways:
    *
    *   1) Sort any bitonic sequence.
-   *   2) Merge two halfs of the input data assuming they're already sorted, and
-   * their order is opposite (i.e. either ascending, descending or vice-versa).
+   *   2) Merge two halves of the input data assuming they're already sorted,
+   * and their order is opposite (i.e. either ascending, descending or
+   * vice-versa).
    *
    * The input pointers are unique per-thread.
    * See the class description for the description of the data layout.

src/torchaudio/csrc/cuctc/src/bitonic_topk/warpsort_topk.cuh → src/libtorchaudio/cuctc/src/bitonic_topk/warpsort_topk.cuh

@@ -122,7 +122,7 @@ class warp_sort {
 
  public:
   /**
-   *  The `empty` value for the choosen binary operation,
+   *  The `empty` value for the chosen binary operation,
    *  i.e. `Ascending ? upper_bound<T>() : lower_bound<T>()`.
    */
   static constexpr T kDummy = Ascending ? upper_bound<T>() : lower_bound<T>();

src/torchaudio/csrc/forced_align/compute.cpp → src/libtorchaudio/forced_align/compute.cpp

+#include <libtorchaudio/forced_align/compute.h>
 #include <torch/script.h>
-#include <torchaudio/csrc/forced_align/compute.h>
 
 std::tuple<torch::Tensor, torch::Tensor> forced_align(
     const torch::Tensor& logProbs,