Adding libtorch_nvshmem.so (#162)

* Adding libtorch_nvshmem.so

* change: CPU only build doesn't have CUDA_VERSION environment variable. Using flag to control library inclusion.

* Removing generation expression

Author: mc-nv

CMakeLists.txt

@@ -50,6 +50,7 @@ option(TRITON_ENABLE_STATS "Include statistics collections in backend" ON)
 option(TRITON_ENABLE_NVTX "Include nvtx markers collection in backend." OFF)
 option(TRITON_PYTORCH_ENABLE_TORCHTRT "Enable TorchTRT support" OFF)
 option(TRITON_PYTORCH_ENABLE_TORCHVISION "Enable Torchvision support" ON)
+option(TRITON_PYTORCH_NVSHMEM "Enable NVSHMEM support" ON)
 
 set(TRITON_PYTORCH_DOCKER_IMAGE "" CACHE STRING "Docker image containing the PyTorch build required by backend.")
 set(TRITON_PYTORCH_INCLUDE_PATHS "" CACHE PATH "Paths to Torch includes")
@@ -162,6 +163,13 @@ set(PT_LIBS
     "libjpeg.so.62"
 )
 
+if (${TRITON_PYTORCH_NVSHMEM})
+  set(PT_LIBS
+      ${PT_LIBS}
+      "libtorch_nvshmem.so"
+  )
+endif() # TRITON_PYTORCH_NVSHMEM
+
 if (${TRITON_PYTORCH_ENABLE_TORCHVISION})
   set(PT_LIBS
       ${PT_LIBS}
@@ -238,6 +246,7 @@ if (${TRITON_PYTORCH_DOCKER_BUILD})
     COMMAND docker cp pytorch_backend_ptlib:${PY_INSTALL_PATH}/torch/lib/libtorch_cuda_linalg.so libtorch_cuda_linalg.so
     COMMAND docker cp pytorch_backend_ptlib:${PY_INSTALL_PATH}/torch/lib/libtorch_global_deps.so libtorch_global_deps.so
     COMMAND docker cp pytorch_backend_ptlib:${PY_INSTALL_PATH}/torch/lib/libcaffe2_nvrtc.so libcaffe2_nvrtc.so
+    COMMAND /bin/sh -c "if [ ${TRITON_PYTORCH_NVSHMEM} = 'ON' ]; then docker cp pytorch_backend_ptlib:${PY_INSTALL_PATH}/torch/lib/libtorch_nvshmem.so libtorch_nvshmem.so; fi"
     COMMAND /bin/sh -c "if [ ${TRITON_PYTORCH_ENABLE_TORCHVISION} = 'ON' ]; then if [ ${RHEL_BUILD} = 'ON' ]; then docker cp -a -L pytorch_backend_ptlib:/usr/local/lib64/libtorchvision.so libtorchvision.so; else docker cp -a -L pytorch_backend_ptlib:/usr/local/${LIB_DIR}/libtorchvision.so.1 libtorchvision.so.1; fi; fi"
     COMMAND /bin/sh -c "if [ ${TRITON_PYTORCH_ENABLE_TORCHVISION} = 'ON' ]; then docker cp pytorch_backend_ptlib:/opt/pytorch/vision/torchvision/csrc include/torchvision/torchvision; fi"
     COMMAND /bin/sh -c "if [ ${TRITON_PYTORCH_ENABLE_TORCHTRT} = 'ON' ]; then docker cp pytorch_backend_ptlib:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/lib/libtorchtrt_runtime.so libtorchtrt_runtime.so; fi"