[runtime/xpu] Support the execution of non-streaming parsing on the Kunlun XPU card wenet-e2e#1455

Author: panhehe

runtime/core/cmake/xpu.cmake

@@ -0,0 +1,37 @@
+if(NOT WIN32)
+  string(ASCII 27 Esc)
+  set(ColourReset "${Esc}[m")
+  set(ColourBold  "${Esc}[1m")
+  set(Red         "${Esc}[31m")
+  set(Green       "${Esc}[32m")
+  set(Yellow      "${Esc}[33m")
+  set(Blue        "${Esc}[34m")
+  set(Magenta     "${Esc}[35m")
+  set(Cyan        "${Esc}[36m")
+  set(White       "${Esc}[37m")
+  set(BoldRed     "${Esc}[1;31m")
+  set(BoldGreen   "${Esc}[1;32m")
+  set(BoldYellow  "${Esc}[1;33m")
+  set(BoldBlue    "${Esc}[1;34m")
+  set(BoldMagenta "${Esc}[1;35m")
+  set(BoldCyan    "${Esc}[1;36m")
+  set(BoldWhite   "${Esc}[1;37m")
+endif()
+
+if(XPU)
+  set(RUNTIME_XPU_PATH ${CMAKE_CURRENT_SOURCE_DIR})
+  message(STATUS "RUNTIME_XPU_PATH is ${RUNTIME_XPU_PATH} .\n")
+  set(XPU_KUNLUN_PATH ${RUNTIME_XPU_PATH}/decoder/xpu_kunlun)
+  if(NOT DEFINED ENV{XPU_API_PATH})
+    message(FATAL_ERROR "${BoldRed}NO ENV{XPU_API_PATH} in your env. Please set XPU_API_PATH.${ColourReset}\n")
+  else()
+    set(XPU_API_PATH $ENV{XPU_API_PATH})
+    message("set XPU_API_PATH from env_var. Val is $ENV{XPU_API_PATH}.")
+  endif()
+
+  include_directories(${XPU_KUNLUN_PATH}/
+                    ${XPU_API_PATH}/output/include ${XPU_API_PATH}/../runtime/include)
+  link_directories(${XPU_API_PATH}/output/so/ ${XPU_API_PATH}/../runtime/output/so/)
+
+  add_definitions(-DUSE_XPU)
+endif()

runtime/core/decoder/CMakeLists.txt

@@ -7,8 +7,8 @@ set(decoder_srcs
   ctc_endpoint.cc
 )
 
-if(NOT TORCH AND NOT ONNX)
-  message(FATAL_ERROR "Please build with TORCH or ONNX!!!")
+if(NOT TORCH AND NOT ONNX AND NOT XPU)
+  message(FATAL_ERROR "Please build with TORCH or ONNX or XPU!!!")
 endif()
 if(TORCH)
   list(APPEND decoder_srcs torch_asr_model.cc)
@@ -17,8 +17,23 @@ if(ONNX)
   list(APPEND decoder_srcs onnx_asr_model.cc)
 endif()
 
+if(XPU)
+  list(APPEND decoder_srcs xpu_asr_model.cc)
+  list(APPEND decoder_srcs ./xpu_kunlun/xpu_conformer.cpp)
+  list(APPEND decoder_srcs ./xpu_kunlun/xpu_util.cpp)
+  message(STATUS "xpu decoder_srcs is :: ${decoder_srcs} \n")
+  # compile conformer_test
+  add_subdirectory(xpu_kunlun)
+endif()
+
 add_library(decoder STATIC ${decoder_srcs})
-target_link_libraries(decoder PUBLIC kaldi-decoder frontend post_processor utils)
+if(XPU)
+  target_link_libraries(decoder PUBLIC kaldi-decoder frontend
+                        post_processor utils xpuapi xpurt)
+else()
+  target_link_libraries(decoder PUBLIC kaldi-decoder frontend
+                        post_processor utils)
+endif()
 
 if(ANDROID)
   target_link_libraries(decoder PUBLIC ${PYTORCH_LIBRARY} ${FBJNI_LIBRARY})

runtime/core/decoder/params.h

@@ -13,7 +13,6 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-
 #ifndef DECODER_PARAMS_H_
 #define DECODER_PARAMS_H_
 
@@ -29,17 +28,24 @@
 #ifdef USE_TORCH
 #include "decoder/torch_asr_model.h"
 #endif
+#ifdef USE_XPU
+#include "decoder/xpu_asr_model.h"
+#endif
 #include "frontend/feature_pipeline.h"
 #include "post_processor/post_processor.h"
 #include "utils/flags.h"
 #include "utils/string.h"
 
 DEFINE_int32(num_threads, 1, "num threads for ASR model");
+DEFINE_int32(device_id, 0, "set XPU DeviceID for ASR model");
 
 // TorchAsrModel flags
 DEFINE_string(model_path, "", "pytorch exported model path");
 // OnnxAsrModel flags
 DEFINE_string(onnx_dir, "", "directory where the onnx model is saved");
+// XPUAsrModel flags
+DEFINE_string(xpu_model_dir, "",
+              "directory where the XPU model and weights is saved");
 
 // FeaturePipelineConfig flags
 DEFINE_int32(num_bins, 80, "num mel bins for fbank feature");
@@ -66,7 +72,8 @@ DEFINE_double(lattice_beam, 10.0, "lattice beam in ctc wfst search");
 DEFINE_double(acoustic_scale, 1.0, "acoustic scale for ctc wfst search");
 DEFINE_double(blank_skip_thresh, 1.0,
               "blank skip thresh for ctc wfst search, 1.0 means no skip");
-DEFINE_double(length_penalty, 0.0, "length penalty ctc wfst search, will not"
+DEFINE_double(length_penalty, 0.0,
+              "length penalty ctc wfst search, will not"
               "apply on self-loop arc, for balancing the del/ins ratio, "
               "suggest set to -3.0");
 DEFINE_int32(nbest, 10, "nbest for ctc wfst or prefix search");
@@ -130,7 +137,7 @@ std::shared_ptr<DecodeResource> InitDecodeResourceFromFlags() {
 #else
     LOG(FATAL) << "Please rebuild with cmake options '-DONNX=ON'.";
 #endif
-  } else {
+  } else if (!FLAGS_model_path.empty()) {
 #ifdef USE_TORCH
     LOG(INFO) << "Reading torch model " << FLAGS_model_path;
     TorchAsrModel::InitEngineThreads(FLAGS_num_threads);
@@ -140,6 +147,19 @@ std::shared_ptr<DecodeResource> InitDecodeResourceFromFlags() {
 #else
     LOG(FATAL) << "Please rebuild with cmake options '-DTORCH=ON'.";
 #endif
+  } else if (!FLAGS_xpu_model_dir.empty()) {
+#ifdef USE_XPU
+    LOG(INFO) << "Reading XPU WeNet model weight from " << FLAGS_xpu_model_dir;
+    auto model = std::make_shared<XPUAsrModel>();
+    model->SetEngineThreads(FLAGS_num_threads);
+    model->SetDeviceId(FLAGS_device_id);
+    model->Read(FLAGS_xpu_model_dir);
+    resource->model = model;
+#else
+    LOG(FATAL) << "Please rebuild with cmake options '-DXPU=ON'.";
+#endif
+  } else {
+    LOG(FATAL) << "Please set ONNX, TORCH or XPU model path!!!";
   }
 
   LOG(INFO) << "Reading unit table " << FLAGS_unit_path;
@@ -186,6 +206,7 @@ std::shared_ptr<DecodeResource> InitDecodeResourceFromFlags() {
   post_process_opts.lowercase = FLAGS_lowercase;
   resource->post_processor =
       std::make_shared<PostProcessor>(std::move(post_process_opts));
+  LOG(INFO) << "Finish set PostProcessOptions. \n";
   return resource;
 }