iOS runtime

runtime/core/cmake/libtorch.cmake

@@ -5,6 +5,9 @@ if(TORCH)
       add_definitions(-DUSE_GPU)
       set(CUDA_NAME "cu113")
     endif()
+    if(IOS)
+      add_definitions(-DIOS)
+    endif()
     if(${CMAKE_SYSTEM_NAME} STREQUAL "Windows")
       if(GPU)
         message(FATAL_ERROR "GPU on Windows is unsupported, you can use CPU version")
@@ -40,17 +43,24 @@ if(TORCH)
       endif()
       set(LIBTORCH_URL "https://download.pytorch.org/libtorch/cpu/libtorch-macos-${PYTORCH_VERSION}.zip")
       set(URL_HASH "SHA256=07cac2c36c34f13065cb9559ad5270109ecbb468252fb0aeccfd89322322a2b5")
+    elseif(${CMAKE_SYSTEM_NAME} STREQUAL "iOS")
+      if(GPU)
+        message(FATAL_ERROR "GPU on iOS is unsupported, you can use CPU version")
+      endif()
     else()
       message(FATAL_ERROR "Unsupported CMake System Name '${CMAKE_SYSTEM_NAME}' (expected 'Windows', 'Linux' or 'Darwin')")
     endif()
 
-    FetchContent_Declare(libtorch
-      URL      ${LIBTORCH_URL}
-      URL_HASH ${URL_HASH}
-    )
-    FetchContent_MakeAvailable(libtorch)
-    find_package(Torch REQUIRED PATHS ${libtorch_SOURCE_DIR} NO_DEFAULT_PATH)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS} -DC10_USE_GLOG")
+    # iOS use LibTorch from pod install
+    if(NOT IOS)
+      FetchContent_Declare(libtorch
+        URL      ${LIBTORCH_URL}
+        URL_HASH ${URL_HASH}
+      )
+      FetchContent_MakeAvailable(libtorch)
+      find_package(Torch REQUIRED PATHS ${libtorch_SOURCE_DIR} NO_DEFAULT_PATH)
+      set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS} -DC10_USE_GLOG")
+    endif()
 
     if(MSVC)
       file(GLOB TORCH_DLLS "${TORCH_INSTALL_PREFIX}/lib/*.dll")

runtime/core/decoder/CMakeLists.txt

@@ -7,10 +7,10 @@ set(decoder_srcs
   ctc_endpoint.cc
 )
 
-if(NOT TORCH AND NOT ONNX AND NOT XPU)
-  message(FATAL_ERROR "Please build with TORCH or ONNX or XPU!!!")
+if(NOT TORCH AND NOT ONNX AND NOT XPU AND NOT IOS)
+  message(FATAL_ERROR "Please build with TORCH or ONNX or XPU or IOS!!!")
 endif()
-if(TORCH)
+if(TORCH OR IOS)
   list(APPEND decoder_srcs torch_asr_model.cc)
 endif()
 if(ONNX)

runtime/core/decoder/torch_asr_model.cc

@@ -22,10 +22,13 @@
 #include <stdexcept>
 
 #include "torch/script.h"
+#ifndef IOS
 #include "torch/torch.h"
+#endif
 
 namespace wenet {
 
+#ifndef IOS
 void TorchAsrModel::InitEngineThreads(int num_threads) {
   // For multi-thread performance
   at::set_num_threads(num_threads);
@@ -36,6 +39,7 @@ void TorchAsrModel::InitEngineThreads(int num_threads) {
   VLOG(1) << "Num intra-op threads: " << at::get_num_threads();
   VLOG(1) << "Num inter-op threads: " << at::get_num_interop_threads();
 }
+#endif
 
 void TorchAsrModel::Read(const std::string& model_path) {
   torch::DeviceType device = at::kCPU;

runtime/core/decoder/torch_asr_model.h

@@ -22,7 +22,9 @@
 #include <vector>
 
 #include "torch/script.h"
+#ifndef IOS
 #include "torch/torch.h"
+#endif
 
 #include "decoder/asr_model.h"
 #include "utils/utils.h"
@@ -31,8 +33,10 @@ namespace wenet {
 
 class TorchAsrModel : public AsrModel {
  public:
+#ifndef IOS
   // Note: Do not call the InitEngineThreads function more than once.
   static void InitEngineThreads(int num_threads = 1);
+#endif
 
  public:
   using TorchModule = torch::jit::script::Module;