[Submodule] Remove third-party onnx-tensorrt (pytorch#126542)

It seems that tensorrt is not used by the C++ code, may be due to the removal of Caffe2.

Pull Request resolved: pytorch#126542
Approved by: https://github.com/ezyang

Author: cyyever

.gitmodules

@@ -58,10 +58,6 @@
     ignore = dirty
     path = third_party/onnx
     url = https://github.com/onnx/onnx.git
-[submodule "third_party/onnx-tensorrt"]
-    ignore = dirty
-    path = third_party/onnx-tensorrt
-    url = https://github.com/onnx/onnx-tensorrt
 [submodule "third_party/sleef"]
     ignore = dirty
     path = third_party/sleef

CMakeLists.txt

@@ -265,7 +265,6 @@ option(USE_PYTORCH_QNNPACK "Use ATen/QNNPACK (quantized 8-bit operators)" ON)
 option(USE_SNPE "Use Qualcomm's SNPE library" OFF)
 option(USE_SYSTEM_EIGEN_INSTALL
     "Use system Eigen instead of the one under third_party" OFF)
-option(USE_TENSORRT "Using Nvidia TensorRT library" OFF)
 cmake_dependent_option(
     USE_VALGRIND "Use Valgrind. Only available on Linux." ON
     "LINUX" OFF)

WORKSPACE

@@ -355,9 +355,4 @@ local_repository(
     path = "third_party/onnx/third_party/benchmark",
 )
 
-local_repository(
-    name = "unused_onnx_tensorrt_benchmark",
-    path = "third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark",
-)
-
 ### Unused repos end

caffe2/core/macros.h.in

@@ -25,7 +25,6 @@
 #cmakedefine USE_MKLDNN
 #cmakedefine CAFFE2_USE_NVTX
 #cmakedefine CAFFE2_USE_ITT
-#cmakedefine CAFFE2_USE_TRT
 
 #ifndef EIGEN_MPL2_ONLY
 #cmakedefine EIGEN_MPL2_ONLY
@@ -67,7 +66,6 @@
   {"USE_MKLDNN", "${USE_MKLDNN}"}, \
   {"USE_NVTX", "${CAFFE2_USE_NVTX}"}, \
   {"USE_ITT", "${CAFFE2_USE_ITT}"}, \
-  {"USE_TRT", "${CAFFE2_USE_TRT}"}, \
   {"USE_ROCM_KERNEL_ASSERT", "${USE_ROCM_KERNEL_ASSERT}"}, \
   {"USE_CUSPARSELT", "${USE_CUSPARSELT}"}, \
 }

cmake/Caffe2Config.cmake.in

@@ -79,7 +79,6 @@ if(@USE_CUDA@)
   # If Caffe2 was compiled with the libraries below, they must
   # be found again when including the Caffe2 target.
   set(CAFFE2_USE_CUDA @USE_CUDA@)
-  set(CAFFE2_USE_TENSORRT @USE_TENSORRT@)
 
   # Add current directory to module path so we pick up FindCUDAToolkit.cmake
   set(old_CMAKE_MODULE_PATH "${CMAKE_MODULE_PATH}")
@@ -93,12 +92,6 @@ if(@USE_CUDA@)
       "libraries. Please set the proper CUDA prefixes and / or install "
       "CUDA.")
   endif()
-  if(@CAFFE2_USE_TENSORRT@ AND NOT CAFFE2_USE_TENSORRT)
-    message(FATAL_ERROR
-      "Your installed Caffe2 version uses TensorRT but I cannot find the TensorRT "
-      "libraries. Please set the proper TensorRT prefixes and / or install "
-      "TensorRT.")
-  endif()
 endif()
 
 if(@USE_XPU@)

cmake/Dependencies.cmake

@@ -40,7 +40,6 @@ if(USE_CUDA)
   set(CAFFE2_USE_CUDNN ${USE_CUDNN})
   set(CAFFE2_USE_CUSPARSELT ${USE_CUSPARSELT})
   set(CAFFE2_USE_NVRTC ${USE_NVRTC})
-  set(CAFFE2_USE_TENSORRT ${USE_TENSORRT})
   include(${CMAKE_CURRENT_LIST_DIR}/public/cuda.cmake)
   if(CAFFE2_USE_CUDA)
     # A helper variable recording the list of Caffe2 dependent libraries
@@ -63,11 +62,6 @@ if(USE_CUDA)
     else()
       caffe2_update_option(USE_CUSPARSELT OFF)
     endif()
-    if(CAFFE2_USE_TENSORRT)
-      list(APPEND Caffe2_PUBLIC_CUDA_DEPENDENCY_LIBS caffe2::tensorrt)
-    else()
-      caffe2_update_option(USE_TENSORRT OFF)
-    endif()
     find_program(SCCACHE_EXECUTABLE sccache)
     if(SCCACHE_EXECUTABLE)
       # Using RSP/--options-file renders output noncacheable by sccache
@@ -84,12 +78,10 @@ if(USE_CUDA)
     caffe2_update_option(USE_CUDNN OFF)
     caffe2_update_option(USE_CUSPARSELT OFF)
     caffe2_update_option(USE_NVRTC OFF)
-    caffe2_update_option(USE_TENSORRT OFF)
     set(CAFFE2_USE_CUDA OFF)
     set(CAFFE2_USE_CUDNN OFF)
     set(CAFFE2_USE_CUSPARSELT OFF)
     set(CAFFE2_USE_NVRTC OFF)
-    set(CAFFE2_USE_TENSORRT OFF)
   endif()
 endif()
 
@@ -1491,27 +1483,6 @@ if(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO AND NOT INTERN_DISABLE_ONNX)
   set(BUILD_SHARED_LIBS ${TEMP_BUILD_SHARED_LIBS})
 endif()
 
-# --[ TensorRT integration with onnx-trt
-function(add_onnx_tensorrt_subdir)
-  # We pass the paths we found to onnx tensorrt.
-  set(CUDNN_INCLUDE_DIR "${CUDNN_INCLUDE_PATH}")
-  set(CUDNN_LIBRARY "${CUDNN_LIBRARY_PATH}")
-  set(CMAKE_VERSION_ORIG "{CMAKE_VERSION}")
-  # TODO: this WAR is for https://github.com/pytorch/pytorch/issues/18524
-  set(CMAKE_VERSION "3.9.0")
-  add_subdirectory(${CMAKE_CURRENT_LIST_DIR}/../third_party/onnx-tensorrt EXCLUDE_FROM_ALL)
-  set(CMAKE_VERSION "{CMAKE_VERSION_ORIG}")
-endfunction()
-if(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO)
-  if(USE_TENSORRT)
-    add_onnx_tensorrt_subdir()
-    include_directories("${CMAKE_CURRENT_LIST_DIR}/../third_party/onnx-tensorrt")
-    caffe2_interface_library(nvonnxparser_static onnx_trt_library)
-    list(APPEND Caffe2_DEPENDENCY_WHOLE_LINK_LIBS onnx_trt_library)
-    set(CAFFE2_USE_TRT 1)
-  endif()
-endif()
-
 # --[ ATen checks
 set(USE_LAPACK 0)