fix some bug in compile in linux

ktransformers/ktransformers_ext/CMakeLists.txt

@@ -205,7 +205,12 @@ add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/../../third_party/pybind11 ${CMAKE_
 add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/../../third_party/llama.cpp ${CMAKE_CURRENT_BINARY_DIR}/third_party/llama.cpp)
 
 include_directories(${CMAKE_CURRENT_SOURCE_DIR}/../../third_party)
-include_directories("D:/CUDA/v12.5/include")
+if (WIN32)
+    include_directories("$ENV{CUDA_PATH}/include")
+elseif (UNIX)
+    find_package(CUDA REQUIRED)
+    include_directories("${CUDA_INCLUDE_DIRS}")
+endif()
 
 aux_source_directory(${CMAKE_CURRENT_SOURCE_DIR} SOURCE_DIR1)
 aux_source_directory(${CMAKE_CURRENT_SOURCE_DIR}/cpu_backend SOURCE_DIR2)
@@ -216,4 +221,8 @@ message(STATUS "ALL_SOURCES: ${ALL_SOURCES}")
 
 pybind11_add_module(${PROJECT_NAME} MODULE ${ALL_SOURCES})
 target_link_libraries(${PROJECT_NAME} PRIVATE llama)
-target_link_libraries(${PROJECT_NAME} PRIVATE "D:/CUDA/v12.5/lib/x64/cudart.lib")#CUDA::cudart
+if(WIN32)
+    target_link_libraries(${PROJECT_NAME} PRIVATE "$ENV{CUDA_PATH}/lib/x64/cudart.lib")#CUDA::cudart
+elseif(UNIX)
+    target_link_libraries(${PROJECT_NAME} PRIVATE "$ENV{CUDA_HOME}/lib64/libcudart.so")
+endif()

ktransformers/ktransformers_ext/cpu_backend/task_queue.h

@@ -3,8 +3,8 @@
  * @Author       : chenht2022
  * @Date         : 2024-07-16 10:43:18
  * @Version      : 1.0.0
- * @LastEditors  : chenht2022 
+ * @LastEditors  : chenxl 
- * @LastEditTime : 2024-07-25 10:33:47
+ * @LastEditTime : 2024-08-08 04:23:51
  * @Copyright (c) 2024 by KVCache.AI, All Rights Reserved.
  **/
 #ifndef CPUINFER_TASKQUEUE_H
@@ -25,7 +25,7 @@ class custom_mutex {
 private:
 #ifdef _WIN32
     HANDLE  global_mutex;
-#elif
+#else
     std::mutex global_mutex;
 #endif
     
@@ -41,7 +41,7 @@ public:
     {
 #ifdef _WIN32
         WaitForSingleObject(global_mutex, INFINITE);
-#elif
+#else
         global_mutex.lock();
 #endif
     }
@@ -50,7 +50,7 @@ public:
     {
 #ifdef _WIN32
         ReleaseMutex(global_mutex);
-#elif
+#else
         global_mutex.lock();
 #endif
     }

pyproject.toml

@@ -3,7 +3,8 @@ requires = [
   "setuptools",
   "torch >= 2.3.0", 
   "ninja",
-  "packaging"
+  "packaging",
+  "cpufeature"
   ]
 build-backend = "setuptools.build_meta"
 

setup.py

@@ -6,7 +6,7 @@ Author       : chenxl
 Date         : 2024-07-27 16:15:27
 Version      : 1.0.0
 LastEditors  : chenxl 
-LastEditTime : 2024-07-31 09:44:46
+LastEditTime : 2024-08-08 02:45:15
 Adapted from:
 https://github.com/Dao-AILab/flash-attention/blob/v2.6.3/setup.py
 Copyright (c) 2023, Tri Dao.
@@ -19,6 +19,7 @@ import re
 import ast
 import subprocess
 import platform
+import shutil
 import http.client
 import urllib.request
 import urllib.error
@@ -27,6 +28,7 @@ from packaging.version import parse
 import torch.version
 from wheel.bdist_wheel import bdist_wheel as _bdist_wheel
 from setuptools import setup, Extension
+from cpufeature.extension import CPUFeature
 from torch.utils.cpp_extension import BuildExtension, CUDAExtension, CUDA_HOME
 
 class CpuInstructInfo:
@@ -100,7 +102,14 @@ class VersionInfo:
             raise ValueError(
                 "Unsupported cpu Instructions: {}".format(flags_line))
         elif sys.platform == "win32":
-            return 'native'
+            if CPUFeature.get("AVX512bw", False):
+                return 'fancy'
+            if CPUFeature.get("AVX512f", False):
+                return 'avx512'
+            if CPUFeature.get("AVX2", False):
+                return 'avx2'
+            raise ValueError(
+                "Unsupported cpu Instructions: {}".format(str(CPUFeature)))
         else:
             raise ValueError("Unsupported platform: {}".format(sys.platform))
 
@@ -158,7 +167,7 @@ class BuildWheelsCommand(_bdist_wheel):
 
             wheel_path = os.path.join(self.dist_dir, archive_basename + ".whl")
             print("Raw wheel path", wheel_path)
-            os.rename(wheel_filename, wheel_path)
+            shutil.move(wheel_filename, wheel_path)
         except (urllib.error.HTTPError, urllib.error.URLError, http.client.RemoteDisconnected):
             print("Precompiled wheel not found. Building from source...")
             # If the wheel could not be downloaded, build from source