[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/src/argparser.py

@@ -271,7 +271,6 @@ Examples:
         required=False,
         nargs="?",
         choices=[
-            # "simple",
             "kernel",
             "kernel_launch_params",
         ],
@@ -279,7 +278,6 @@ Examples:
         help=(
             "\t\t\tChoose the iteration multiplexing policy: "
             "(DEFAULT: kernel_launch_params).\n"
-            # "\t\t\t   simple (i.e. Round robin over all kernel dispatches\n"
             "\t\t\t   kernel (i.e. Round robin counters over kernel calls with "
             "unique kernel names.)\n"
             "\t\t\t   kernel_launch_params (i.e. Round robin counters over "