1633 ERRORS encountered when running "sh ./reference_mlperf_accuracy.sh"

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SUT name : PySUT
Scenario : Offline
Mode : PerformanceOnly
Samples per second: 0.857965
Tokens per second: 289.078
Result is : VALID
Min duration satisfied : Yes
Min queries satisfied : Yes
Early stopping satisfied: Yes

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Additional Stats

Min latency (ns) : 2785715494
Max latency (ns) : 1903340943861
Mean latency (ns) : 955159206269
50.00 percentile latency (ns) : 961910964272
90.00 percentile latency (ns) : 1712469406533
95.00 percentile latency (ns) : 1809927827424
97.00 percentile latency (ns) : 1847756820559
99.00 percentile latency (ns) : 1884148081334
99.90 percentile latency (ns) : 1902868349502

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Test Parameters Used

samples_per_query : 1633
target_qps : 1
ttft_latency (ns): 100000000
tpot_latency (ns): 100000000
max_async_queries : 1
min_duration (ms): 600000
max_duration (ms): 0
min_query_count : 1
max_query_count : 0
qsl_rng_seed : 1780908523862526354
sample_index_rng_seed : 14771362308971278857
schedule_rng_seed : 18209322760996052031
accuracy_log_rng_seed : 0
accuracy_log_probability : 0
accuracy_log_sampling_target : 0
print_timestamps : 0
performance_issue_unique : 0
performance_issue_same : 0
performance_issue_same_index : 0
performance_sample_count : 1633
WARNING: sample_concatenate_permutation was set to true.
Generated samples per query might be different as the one in the setting.
Check the generated_samples_per_query line in the detailed log for the real
samples_per_query value

No warnings encountered during test.

1633 ERRORS encountered. See detailed log.

Start by rerunning sh ./reference_mlperf_accuracy.sh and inspect its detailed log, since the report only summarizes 1633 errors despite a VALID result. Compare the detailed errors with the PySUT, Offline, and PerformanceOnly settings shown here; done means identifying the cause and making the accuracy run complete without those errors.