INFO:LANUCH:******************* Pip Package Installing *******************
INFO:PerfEngine:******************* Backend Env Initization *******************
INFO:BackendStore:Loading Compile Backend: DCU
INFO:BackendStore:Loading Runtime Backend: DCU
INFO:PerfEngine:******************************************* Start to test model: videobert-onnx-fp32. *******************************************
INFO:PerfEngine:******************************************* Running Backend Compilation... *******************************************
INFO:PerfEngine:Running Backend Preoptimization...
INFO:DatasetStore:Loading Dataset: open_cifar
INFO:CIFAR100:Initial...

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INFO:CIFAR100:Preprocessing...
INFO:CIFAR100:Rebatching batch size to: 1 ...

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INFO:PerfEngine:Start to compile the model...
2024-11-13 16:35:01.606623753 [W:onnxruntime:, session_state.cc:1169 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2024-11-13 16:35:01.606645753 [W:onnxruntime:, session_state.cc:1171 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
INFO:PerfEngine:******************************************* Running Accuracy Checker... *******************************************
INFO:CIFAR100:Rebatching batch size to: 4 ...

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INFO:TestAccuracy:Start to calculate accuracy...

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INFO:TestAccuracy:Batch size is 4, Accuracy: 0.6171
INFO:PerfEngine:******************************************* Runing QPS Checker... *******************************************
2024-11-13 16:36:58.638697174 [W:onnxruntime:, session_state.cc:1169 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2024-11-13 16:36:58.638713382 [W:onnxruntime:, session_state.cc:1171 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
INFO:BackendDCU:Batch size is 4, QPS: 94, Avg Latency:42.2, Tail Latency:44.31
2024-11-13 16:37:05.494680269 [W:onnxruntime:, session_state.cc:1169 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2024-11-13 16:37:05.494698007 [W:onnxruntime:, session_state.cc:1171 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
INFO:BackendDCU:Batch size is 8, QPS: 179, Avg Latency:44.5, Tail Latency:46.36
2024-11-13 16:37:12.667772182 [W:onnxruntime:, session_state.cc:1169 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2024-11-13 16:37:12.667788482 [W:onnxruntime:, session_state.cc:1171 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
INFO:BackendDCU:Batch size is 16, QPS: 332, Avg Latency:48.17, Tail Latency:50.45
2024-11-13 16:37:20.325742282 [W:onnxruntime:, session_state.cc:1169 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.
2024-11-13 16:37:20.325759260 [W:onnxruntime:, session_state.cc:1171 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.
INFO:BackendDCU:Batch size is 24, QPS: 454, Avg Latency:52.83, Tail Latency:54.87
INFO:PerfEngine:Testing Finish. Report is saved in path: [ general_perf/reports/DCU/videobert-onnx-fp32/result-fp32.json ]
INFO:PerfEngine:PDF Version is saved in path: [ general_perf/reports/DCU/videobert-onnx-fp32/VIDEOBERT-ONNX-FP32-TO-FP32.JSON.pdf ]