[rocprofiler-compute] Fix MI100 tests (#832)

* Fix MI100 tests

* Handle missing roofline in db_analysis.py

projects/rocprofiler-compute/src/rocprof_compute_analyze/analysis_db.py

@@ -403,9 +403,9 @@ class db_analysis(OmniAnalyze_Base):
         for workload_path in self._runs.keys():
             pmc_df = self._pmc_df_per_workload[workload_path].copy()
             sys_info = self._runs[workload_path].sys_info.iloc[0].to_dict()
-            for key, value in self._roofline_ceilings_per_workload[
-                workload_path
-            ].items():
+            for key, value in self._roofline_ceilings_per_workload.get(
+                workload_path, {}
+            ).items():
                 sys_info[f"{key}_empirical_peak"] = value
 
             # Calculate PER_XCD variables first
@@ -571,10 +571,12 @@ class db_analysis(OmniAnalyze_Base):
                 zip(roofline_data_df["Metric"], roofline_data_df["Value"])
             )
             roofline_data_expressions = {
-                "total_flops": roofline_data_expressions["Performance (GFLOPs)"],
-                "l1_cache_data": roofline_data_expressions["AI L1"],
-                "l2_cache_data": roofline_data_expressions["AI L2"],
-                "hbm_cache_data": roofline_data_expressions["AI HBM"],
+                "total_flops": roofline_data_expressions.get(
+                    "Performance (GFLOPs)", ""
+                ),
+                "l1_cache_data": roofline_data_expressions.get("AI L1", ""),
+                "l2_cache_data": roofline_data_expressions.get("AI L2", ""),
+                "hbm_cache_data": roofline_data_expressions.get("AI HBM", ""),
             }
 
             roofline_df = pd.DataFrame([