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1 |
| -python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/get-tvm-model_9e396f8b/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_8d451c7b --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_6a15cf00/test_results/gh_ubuntu-latest-reference-cpu-tvm-onnx-v1.19.2-default_config/resnet50/offline/accuracy" --backend tvm --scenario Offline --max-batchsize 1 --count 5 --threads 4 --user_conf /home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/ba0e520fda5841e2a5ff12679cb715c6.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_8d451c7b --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_715c7eab/val.txt |
2 |
| -INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_8d451c7b', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_715c7eab/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_9e396f8b/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_6a15cf00/test_results/gh_ubuntu-latest-reference-cpu-tvm-onnx-v1.19.2-default_config/resnet50/offline/accuracy', inputs=None, outputs=['ArgMax:0'], backend='tvm', device=None, model_name='resnet50', threads=4, qps=None, cache=0, cache_dir='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_8d451c7b', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/ba0e520fda5841e2a5ff12679cb715c6.conf', audit_conf='audit.config', time=None, count=5, performance_sample_count=None, max_latency=None, samples_per_query=8) |
| 1 | +python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/get-tvm-model_4518902e/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_960ce21c --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_df6125d4/test_results/gh_ubuntu-latest-reference-cpu-tvm-onnx-v1.19.2-default_config/resnet50/offline/accuracy" --backend tvm --scenario Offline --max-batchsize 1 --count 5 --threads 4 --user_conf /home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/44b04ee42d834c598a5a441f025e0a8a.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_960ce21c --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_5261ab4d/val.txt |
| 2 | +INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_960ce21c', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_5261ab4d/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_4518902e/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_df6125d4/test_results/gh_ubuntu-latest-reference-cpu-tvm-onnx-v1.19.2-default_config/resnet50/offline/accuracy', inputs=None, outputs=['ArgMax:0'], backend='tvm', device=None, model_name='resnet50', threads=4, qps=None, cache=0, cache_dir='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_960ce21c', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/44b04ee42d834c598a5a441f025e0a8a.conf', audit_conf='audit.config', time=None, count=5, performance_sample_count=None, max_latency=None, samples_per_query=8) |
3 | 3 | INFO:imagenet:Loading 5 preprocessed images using 4 threads
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4 | 4 | INFO:imagenet:loaded 5 images, cache=0, already_preprocessed=True, took=0.0sec
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5 |
| -TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_9e396f8b/model-tvm.so |
| 5 | +TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_4518902e/model-tvm.so |
6 | 6 | INFO:main:starting TestScenario.Offline
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7 |
| -TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_9e396f8b/model-tvm.so |
8 |
| -TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_9e396f8b/model-tvm.so |
9 |
| -TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_9e396f8b/model-tvm.so |
10 |
| -TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_9e396f8b/model-tvm.so |
11 |
| -TestScenario.Offline qps=1.72, mean=1.7655, time=2.902, acc=80.000%, queries=5, tiles=50.0:1.4965,80.0:1.7756,90.0:2.3229,95.0:2.5965,99.0:2.8154,99.9:2.8647 |
| 7 | +TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_4518902e/model-tvm.so |
| 8 | +TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_4518902e/model-tvm.so |
| 9 | +TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_4518902e/model-tvm.so |
| 10 | +TestScenario.Offline qps=1.72, mean=1.7655, time=2.907, acc=80.000%, queries=5, tiles=50.0:1.4906,80.0:1.7823,90.0:2.3281,95.0:2.6009,99.0:2.8192,99.9:2.8684 |
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