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Quick fix on rocprof output processing. #588

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Quick fix on rocprof output processing. #588

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30 changes: 21 additions & 9 deletions src/utils/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -624,6 +624,18 @@ def run_prof(
if rocprof_cmd.endswith("v2"):
# rocprofv2 has separate csv files for each process
results_files = glob.glob(workload_dir + "/out/pmc_1/results_*.csv")

# Combine results into single CSV file
combined_results = pd.concat(
[pd.read_csv(f) for f in results_files], ignore_index=True
)

# Overwrite column to ensure unique IDs.
combined_results["Dispatch_ID"] = range(0, len(combined_results))

combined_results.to_csv(
workload_dir + "/out/pmc_1/results_" + fbase + ".csv", index=False
)
elif rocprof_cmd.endswith("v3"):
# rocprofv3 requires additional processing for each process
results_files = process_rocprofv3_output(
Expand All @@ -638,17 +650,17 @@ def run_prof(
process_kokkos_trace_output(workload_dir, fbase)
# TODO: add hip trace output processing

# Combine results into single CSV file
combined_results = pd.concat(
[pd.read_csv(f) for f in results_files], ignore_index=True
)
# Combine results into single CSV file
combined_results = pd.concat(
[pd.read_csv(f) for f in results_files], ignore_index=True
)

# Overwrite column to ensure unique IDs.
combined_results["Dispatch_ID"] = range(0, len(combined_results))
# Overwrite column to ensure unique IDs.
combined_results["Dispatch_ID"] = range(0, len(combined_results))

combined_results.to_csv(
workload_dir + "/out/pmc_1/results_" + fbase + ".csv", index=False
)
combined_results.to_csv(
workload_dir + "/out/pmc_1/results_" + fbase + ".csv", index=False
)

if new_env:
# flatten tcc for applicable mi300 input
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