[Hardware][Intel] Integrate CPU backend build procedure

CMakeLists.txt

@@ -2,7 +2,10 @@ cmake_minimum_required(VERSION 3.21)
 
 project(vllm_extensions LANGUAGES CXX)
 
+option(VLLM_TARGET_DEVICE "Target device backend for vLLM" "cpu")
+
 message(STATUS "Build type: ${CMAKE_BUILD_TYPE}")
+message(STATUS "Target device: ${VLLM_TARGET_DEVICE}")
 
 include(${CMAKE_CURRENT_LIST_DIR}/cmake/utils.cmake)
 
@@ -69,6 +72,19 @@ find_package(Torch REQUIRED)
 #
 append_torchlib_if_found(torch_python)
 
+#
+# Forward the non-CUDA device extensions to external CMake scripts.
+#
+if (NOT VLLM_TARGET_DEVICE STREQUAL "cuda" AND
+    NOT VLLM_TARGET_DEVICE STREQUAL "rocm")
+    if (VLLM_TARGET_DEVICE STREQUAL "cpu")
+        include(${CMAKE_CURRENT_LIST_DIR}/cmake/cpu_extension.cmake)
+    else()
+        message(FATAL_ERROR "Unsupported vLLM target device: ${VLLM_TARGET_DEVICE}")
+    endif()
+    return()
+endif()
+
 #
 # Set up GPU language and check the torch version and warn if it isn't
 # what is expected.

cmake/cpu_extension.cmake

@@ -0,0 +1,77 @@
+#
+# Check the compile flags
+#
+list(APPEND CXX_COMPILE_FLAGS 
+    "-fopenmp"
+    "-DVLLM_CPU_EXTENSION")
+
+execute_process(COMMAND cat /proc/cpuinfo
+                RESULT_VARIABLE CPUINFO_RET
+                OUTPUT_VARIABLE CPUINFO)
+
+if (NOT CPUINFO_RET EQUAL 0)
+    message(FATAL_ERROR "Failed to check CPU features via /proc/cpuinfo")
+endif()
+
+function (find_isa CPUINFO TARGET OUT)
+    string(FIND ${CPUINFO} ${TARGET} ISA_FOUND)
+    if(NOT ISA_FOUND EQUAL -1)
+        set(${OUT} ON PARENT_SCOPE)
+    else()
+        set(${OUT} OFF PARENT_SCOPE)
+    endif()
+endfunction()
+
+find_isa(${CPUINFO} "avx512f" AVX512_FOUND)
+
+if (AVX512_FOUND)
+    list(APPEND CXX_COMPILE_FLAGS
+        "-mavx512f"
+        "-mavx512vl"
+        "-mavx512bw"
+        "-mavx512dq")
+
+    find_isa(${CPUINFO} "avx512_bf16" AVX512BF16_FOUND)
+    if (AVX512BF16_FOUND AND
+        CMAKE_CXX_COMPILER_ID STREQUAL "GNU" AND 
+        CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 12.3) 
+        list(APPEND CXX_COMPILE_FLAGS "-mavx512bf16")
+    else()
+        message(WARNING "Disable AVX512-BF16 ISA support, requires gcc/g++ >= 12.3")
+    endif()
+else()
+    message(FATAL_ERROR "vLLM CPU backend requires AVX512 ISA support.")
+endif()
+
+message(STATUS "CPU extension compile flags: ${CXX_COMPILE_FLAGS}")
+
+message(FATAL_ERROR "vLLM CPU backend is unavailable")
+
+#
+# Define extension targets
+#
+
+#
+# _C extension
+#
+set(VLLM_EXT_SRC
+    "csrc/cpu/activation.cpp"
+    "csrc/cpu/attention.cpp"
+    "csrc/cpu/cache.cpp"
+    "csrc/cpu/layernorm.cpp"
+    "csrc/cpu/pos_encoding.cpp"
+    "csrc/pybind.cpp")
+
+define_gpu_extension_target(
+    _C
+    DESTINATION vllm
+    LANGUAGE CXX
+    SOURCES ${VLLM_EXT_SRC}
+    COMPILE_FLAGS ${CXX_COMPILE_FLAGS}
+    WITH_SOABI 
+)
+
+add_custom_target(default)
+message(STATUS "Enabling C extension.")
+add_dependencies(default _C)
+

setup.py

@@ -13,6 +13,8 @@
 from torch.utils.cpp_extension import CUDA_HOME
 
 ROOT_DIR = os.path.dirname(__file__)
+# Target device of vLLM, supporting [cuda (by default), rocm, neuron]
+VLLM_TARGET_DEVICE = os.getenv("VLLM_TARGET_DEVICE", "cuda")
 
 # vLLM only supports Linux platform
 assert sys.platform.startswith(
@@ -61,8 +63,7 @@ def compute_num_jobs(self):
         except AttributeError:
             num_jobs = os.cpu_count()
 
-        nvcc_cuda_version = get_nvcc_cuda_version()
-        if nvcc_cuda_version >= Version("11.2"):
+        if _is_cuda() and get_nvcc_cuda_version() >= Version("11.2"):
             nvcc_threads = int(os.getenv("NVCC_THREADS", 8))
             num_jobs = max(1, round(num_jobs / (nvcc_threads / 4)))
         else:
@@ -95,6 +96,7 @@ def configure(self, ext: CMakeExtension) -> None:
             '-DCMAKE_BUILD_TYPE={}'.format(cfg),
             '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY={}'.format(outdir),
             '-DCMAKE_ARCHIVE_OUTPUT_DIRECTORY={}'.format(self.build_temp),
+            '-DVLLM_TARGET_DEVICE={}'.format(VLLM_TARGET_DEVICE),
         ]
 
         verbose = bool(int(os.getenv('VERBOSE', '0')))
@@ -168,11 +170,12 @@ def build_extensions(self) -> None:
 
 
 def _is_cuda() -> bool:
-    return torch.version.cuda is not None
+    return VLLM_TARGET_DEVICE == "cuda" and torch.version.cuda is not None
 
 
 def _is_hip() -> bool:
-    return torch.version.hip is not None
+    return (VLLM_TARGET_DEVICE == "cuda"
+            or VLLM_TARGET_DEVICE == "rocm") and torch.version.hip is not None
 
 
 def _is_neuron() -> bool:
@@ -184,6 +187,10 @@ def _is_neuron() -> bool:
     return torch_neuronx_installed
 
 
+def _is_cpu() -> bool:
+    return VLLM_TARGET_DEVICE == "cpu"
+
+
 def _install_punica() -> bool:
     return bool(int(os.getenv("VLLM_INSTALL_PUNICA_KERNELS", "0")))
 
@@ -279,6 +286,8 @@ def get_vllm_version() -> str:
         if neuron_version != MAIN_CUDA_VERSION:
             neuron_version_str = neuron_version.replace(".", "")[:3]
             version += f"+neuron{neuron_version_str}"
+    elif _is_cpu():
+        version += "+cpu"
     else:
         raise RuntimeError("Unknown runtime environment")
 
@@ -311,6 +320,8 @@ def get_requirements() -> List[str]:
     elif _is_neuron():
         with open(get_path("requirements-neuron.txt")) as f:
             requirements = f.read().strip().split("\n")
+    elif _is_cpu():
+        requirements = []
     else:
         raise ValueError(
             "Unsupported platform, please use CUDA, ROCM or Neuron.")