diff --git a/cmake/utils.cmake b/cmake/utils.cmake
index 62078fd3..57b38acf 100644
--- a/cmake/utils.cmake
+++ b/cmake/utils.cmake
@@ -1,25 +1,3 @@
-#
-# Attempt to find the python package that uses the same python executable as
-# `EXECUTABLE` and is one of the `SUPPORTED_VERSIONS`.
-#
-macro (find_python_from_executable EXECUTABLE SUPPORTED_VERSIONS)
-  file(REAL_PATH ${EXECUTABLE} EXECUTABLE)
-  set(Python_EXECUTABLE ${EXECUTABLE})
-  find_package(Python COMPONENTS Interpreter Development.Module Development.SABIModule)
-  if (NOT Python_FOUND)
-    message(FATAL_ERROR "Unable to find python matching: ${EXECUTABLE}.")
-  endif()
-  set(_VER "${Python_VERSION_MAJOR}.${Python_VERSION_MINOR}")
-  set(_SUPPORTED_VERSIONS_LIST ${SUPPORTED_VERSIONS} ${ARGN})
-  if (NOT _VER IN_LIST _SUPPORTED_VERSIONS_LIST)
-    message(FATAL_ERROR
-      "Python version (${_VER}) is not one of the supported versions: "
-      "${_SUPPORTED_VERSIONS_LIST}.")
-  endif()
-  message(STATUS "Found python matching: ${EXECUTABLE}.")
-endmacro()
-
-#
 # Run `EXPR` in python.  The standard output of python is stored in `OUT` and
 # has trailing whitespace stripped.  If an error is encountered when running
 # python, a fatal message `ERR_MSG` is issued.
@@ -46,88 +24,3 @@ macro (append_cmake_prefix_path PKG EXPR)
     "import ${PKG}; print(${EXPR})" "Failed to locate ${PKG} path")
   list(APPEND CMAKE_PREFIX_PATH ${_PREFIX_PATH})
 endmacro()
-
-
-# This cmake function is adapted from vllm /Users/ganyi/workspace/vllm-ascend/cmake/utils.cmake
-# Define a target named `GPU_MOD_NAME` for a single extension. The
-# arguments are:
-#
-# DESTINATION <dest>         - Module destination directory.
-# LANGUAGE <lang>            - The GPU language for this module, e.g CUDA, HIP,
-#                              etc.
-# SOURCES <sources>          - List of source files relative to CMakeLists.txt
-#                              directory.
-#
-# Optional arguments:
-#
-# ARCHITECTURES <arches>     - A list of target GPU architectures in cmake
-#                              format.
-#                              Refer `CMAKE_CUDA_ARCHITECTURES` documentation
-#                              and `CMAKE_HIP_ARCHITECTURES` for more info.
-#                              ARCHITECTURES will use cmake's defaults if
-#                              not provided.
-# COMPILE_FLAGS <flags>      - Extra compiler flags passed to NVCC/hip.
-# INCLUDE_DIRECTORIES <dirs> - Extra include directories.
-# LIBRARIES <libraries>      - Extra link libraries.
-# WITH_SOABI                 - Generate library with python SOABI suffix name.
-# USE_SABI <version>         - Use python stable api <version>
-#
-# Note: optimization level/debug info is set via cmake build type.
-#
-function (define_gpu_extension_target GPU_MOD_NAME)
-  cmake_parse_arguments(PARSE_ARGV 1
-    GPU
-    "WITH_SOABI"
-    "DESTINATION;LANGUAGE;USE_SABI"
-    "SOURCES;ARCHITECTURES;COMPILE_FLAGS;INCLUDE_DIRECTORIES;LIBRARIES")
-
-  # Add hipify preprocessing step when building with HIP/ROCm.
-  if (GPU_LANGUAGE STREQUAL "HIP")
-    hipify_sources_target(GPU_SOURCES ${GPU_MOD_NAME} "${GPU_SOURCES}")
-  endif()
-
-  if (GPU_WITH_SOABI)
-    set(GPU_WITH_SOABI WITH_SOABI)
-  else()
-    set(GPU_WITH_SOABI)
-  endif()
-
-  if (GPU_USE_SABI)
-    Python_add_library(${GPU_MOD_NAME} MODULE USE_SABI ${GPU_USE_SABI} ${GPU_WITH_SOABI} "${GPU_SOURCES}")
-  else()
-    Python_add_library(${GPU_MOD_NAME} MODULE ${GPU_WITH_SOABI} "${GPU_SOURCES}")
-  endif()
-
-  if (GPU_LANGUAGE STREQUAL "HIP")
-    # Make this target dependent on the hipify preprocessor step.
-    add_dependencies(${GPU_MOD_NAME} hipify${GPU_MOD_NAME})
-  endif()
-
-  if (GPU_ARCHITECTURES)
-    set_target_properties(${GPU_MOD_NAME} PROPERTIES
-      ${GPU_LANGUAGE}_ARCHITECTURES "${GPU_ARCHITECTURES}")
-  endif()
-
-  set_property(TARGET ${GPU_MOD_NAME} PROPERTY CXX_STANDARD 17)
-
-  target_compile_options(${GPU_MOD_NAME} PRIVATE
-    $<$<COMPILE_LANGUAGE:${GPU_LANGUAGE}>:${GPU_COMPILE_FLAGS}>)
-
-  target_compile_definitions(${GPU_MOD_NAME} PRIVATE
-    "-DTORCH_EXTENSION_NAME=${GPU_MOD_NAME}")
-
-  target_include_directories(${GPU_MOD_NAME} PRIVATE csrc
-    ${GPU_INCLUDE_DIRECTORIES})
-
-  target_link_libraries(${GPU_MOD_NAME} PRIVATE torch ${GPU_LIBRARIES})
-
-  # Don't use `TORCH_LIBRARIES` for CUDA since it pulls in a bunch of
-  # dependencies that are not necessary and may not be installed.
-  if (GPU_LANGUAGE STREQUAL "CUDA")
-    target_link_libraries(${GPU_MOD_NAME} PRIVATE CUDA::cudart CUDA::cuda_driver)
-  else()
-    target_link_libraries(${GPU_MOD_NAME} PRIVATE ${TORCH_LIBRARIES})
-  endif()
-
-  install(TARGETS ${GPU_MOD_NAME} LIBRARY DESTINATION ${GPU_DESTINATION} COMPONENT ${GPU_MOD_NAME})
-endfunction()
diff --git a/docs/requirements-test.txt b/docs/requirements-test.txt
deleted file mode 100644
index c63a6da9..00000000
--- a/docs/requirements-test.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-pytest-asyncio
-pytest-mock