Add option to disable operator profiling (#136838)

Summary:

X-link: pytorch/executorch#5720

For smaller models the overhead of profiling ops might be prohibitively large (distorting the inference execution time significantly) so we provide users an option to disable op profiling and essentially only profile the important events such as inference execution time.

To disable operator profiling users need to do:
```
etdump_gen.set_event_tracer_profiling_level(executorch::runtime::EventTracerProfilingLevel::kNoOperatorProfiling);
```

Test Plan: Added test case.

Differential Revision: D61883224

Author: tarun292

tools/test/test_executorch_gen.py

@@ -503,7 +503,7 @@ def test_codegen_unboxed_specialized(self) -> None:
         """
             + """
 
-        internal::EventTracerProfileScope event_tracer_scope(context.internal_event_tracer(), "native_call_op_1");
+        internal::EventTracerProfileOpScope event_tracer_op_scope(context.internal_event_tracer(), "native_call_op_1");
         EXECUTORCH_SCOPE_PROF("native_call_op_1");
         bool result_ = at::native::default_kernel(context, );
         internal::event_tracer_log_evalue(context.internal_event_tracer(), *stack[0]);
@@ -590,7 +590,7 @@ def test_codegen_unboxed_default(self) -> None:
         """
             + """
 
-        internal::EventTracerProfileScope event_tracer_scope(context.internal_event_tracer(), "native_call_op_1");
+        internal::EventTracerProfileOpScope event_tracer_op_scope(context.internal_event_tracer(), "native_call_op_1");
         EXECUTORCH_SCOPE_PROF("native_call_op_1");
         bool result_ = at::native::default_kernel(context, );
         internal::event_tracer_log_evalue(context.internal_event_tracer(), *stack[0]);
@@ -626,7 +626,7 @@ def test_codegen_unboxed_default_kernel_key_selected(self) -> None:
         """
             + """
 
-        internal::EventTracerProfileScope event_tracer_scope(context.internal_event_tracer(), "native_call_op_1");
+        internal::EventTracerProfileOpScope event_tracer_op_scope(context.internal_event_tracer(), "native_call_op_1");
         EXECUTORCH_SCOPE_PROF("native_call_op_1");
         bool result_ = at::native::default_kernel(context, );
         internal::event_tracer_log_evalue(context.internal_event_tracer(), *stack[0]);

torchgen/gen_executorch.py

@@ -271,7 +271,7 @@ def __call__(
     []({contextArg.defn()}, EValue** stack) {{
         {code_connector.join(code_list)}
 
-        internal::EventTracerProfileScope event_tracer_scope(context.internal_event_tracer(), "native_call_{f.func.name}");
+        internal::EventTracerProfileOpScope event_tracer_op_scope(context.internal_event_tracer(), "native_call_{f.func.name}");
         EXECUTORCH_SCOPE_PROF("native_call_{f.func.name}");
         {ret_prefix}{kernel_call}(context, {args_str});
         {event_tracer_output_logging}