[rocprofiler-compute] Data imputation strategy for iteration multiplexing (#2468)

* Data imputation strategy for iteration multiplexing

* Implement data imputation methodology to handle missing counter values
  in case of iteration multiplexing

* Enable dispatch filtering with iteration multiplexing since we are no
  longer merging dispatches

* Bugfix to prevent check for missing counter values when using csv
  format when profiling with iteration multiplexing

* Move warning and info message in case of iteration multiplexing to
  sanitize function which comes earlier in analyze mode

* Address review comments

* Fix typo in documentation

* Move profiling config init. after path check in sanitize()

* Graceful handling of dispatches with all counters empty within data
  imputation logic

* Improve info message for iteration multiplexing based analysis

* Ensure proper error message when trying to run iteration multiplexing with attach/detach

* fix test case

projects/rocprofiler-compute/tests/test_analyze_commands.py

@@ -1677,7 +1677,7 @@ def test_iteration_multiplexing(binary_handler_analyze_rocprof_compute):
         "--path",
         workload_dir,
     ])
-    assert code == 1
+    assert code == 0
 
     # Test without dispatch filtering
     code = binary_handler_analyze_rocprof_compute([