Set extra compiler options inside KernelCompiler pipeline.

    - We should not generate a cpython or a cfunc wrapper for a
      kernel decorated function.
    - The no_compile is also set to True as the kernel LLVM IR
      will not be compiled to an executable object code by Numba.
      Instead, numba-dpex will compile the LLVM IR to SPIR-V and
      generate a sycl::kernel_bundle.

numba_dpex/core/pipelines/kernel_compiler.py

@@ -140,7 +140,6 @@ def define_nopython_lowering_pipeline(state, name="dpex_kernel_lowering"):
         )
         pm.add_pass(IRLegalization, "ensure IR is legal prior to lowering")
 
-        # lower
         # NativeLowering has some issue with freevar ambiguity,
         # therefore, we are using QualNameDisambiguationLowering instead
         # numba-dpex github issue: https://github.com/IntelPython/numba-dpex/issues/898
@@ -173,12 +172,22 @@ def define_nopython_pipeline(state, name="dpex_kernel_nopython"):
 
 
 class KernelCompiler(CompilerBase):
-    """Dpex's  kernel compilation pipeline."""
+    """Dpex's kernel compilation pipeline."""
 
     def define_pipelines(self):
         pms = []
         if not self.state.flags.force_pyobject:
             pms.append(_KernelPassBuilder.define_nopython_pipeline(self.state))
         if self.state.status.can_fallback or self.state.flags.force_pyobject:
             raise UnsupportedCompilationModeError()
+
+        # Compile the kernel without generating a cpython or a cfunc wrapper
+        self.state.flags.no_cpython_wrapper = True
+        self.state.flags.no_cfunc_wrapper = True
+        # The pass pipeline does not generate an executable when compiling a
+        # kernel function. Instead, the
+        # kernel_dispatcher._KernelCompiler.compile generates the executable in
+        # the form of a host callable launcher function
+        self.state.flags.no_compile = True
+
         return pms