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mlcommons-bot committed Jan 30, 2025
2 parents f1d3cc1 + d5ab06f commit 054186b
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2 changes: 1 addition & 1 deletion ...ements/gh_ubuntu-latest-reference-cpu-tvm-onnx_v1.19.2-default_config/README.md
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| Model | Scenario | Accuracy | Throughput | Latency (in ms) |
|----------|------------|------------|--------------|-------------------|
| resnet50 | offline | 80 | 1.739 | - |
| resnet50 | offline | 80 | 1.747 | - |
4 changes: 2 additions & 2 deletions ...latest-reference-cpu-tvm-onnx_v1.19.2-default_config/resnet50/offline/README.md
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Expand Up @@ -17,7 +17,7 @@ pip install -U mlcflow

mlc rm cache -f

mlc pull repo GATEOverflow@mlperf-automations --checkout=f562fdf708162fd45e74c2be54c8690725d9c4fb
mlc pull repo GATEOverflow@mlperf-automations --checkout=d89196b1a770d1593191bcc0901de0d86b4e8d6b


```
Expand All @@ -41,4 +41,4 @@ Model Precision: fp32
`acc`: `80.0`, Required accuracy for closed division `>= 75.6954`

### Performance Results
`Samples per second`: `1.73908`
`Samples per second`: `1.74722`
13 changes: 7 additions & 6 deletions ...atest-reference-cpu-tvm-onnx_v1.19.2-default_config/resnet50/offline/accuracy_console.out
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python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/get-tvm-model_0cea041f/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_79f95598 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_bb765cd3/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/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/4c598282554b4b9fb4bd5ac14eaa3141.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_79f95598 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_8ccf3dd2/val.txt
INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_79f95598', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_8ccf3dd2/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_0cea041f/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_bb765cd3/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_79f95598', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/4c598282554b4b9fb4bd5ac14eaa3141.conf', audit_conf='audit.config', time=None, count=5, performance_sample_count=None, max_latency=None, samples_per_query=8)
python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/get-tvm-model_fe7c43d7/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_b003b800 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_fc9d1d82/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/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/74b0042bb0d34aebb3048eb7c73b0775.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_b003b800 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_9d651a99/val.txt
INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_b003b800', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_9d651a99/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_fe7c43d7/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_fc9d1d82/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_b003b800', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/74b0042bb0d34aebb3048eb7c73b0775.conf', audit_conf='audit.config', time=None, count=5, performance_sample_count=None, max_latency=None, samples_per_query=8)
INFO:imagenet:Loading 5 preprocessed images using 4 threads
INFO:imagenet:loaded 5 images, cache=0, already_preprocessed=True, took=0.0sec
TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_0cea041f/model-tvm.so
TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fe7c43d7/model-tvm.so
INFO:main:starting TestScenario.Offline
TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_0cea041f/model-tvm.so
TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_0cea041f/model-tvm.so
TestScenario.Offline qps=1.71, mean=1.7987, time=2.929, acc=80.000%, queries=5, tiles=50.0:1.5264,80.0:1.8089,90.0:2.3538,95.0:2.6263,99.0:2.8443,99.9:2.8933
TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fe7c43d7/model-tvm.so
TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fe7c43d7/model-tvm.so
TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fe7c43d7/model-tvm.so
TestScenario.Offline qps=1.72, mean=1.7605, time=2.899, acc=80.000%, queries=5, tiles=50.0:1.4906,80.0:1.7702,90.0:2.3229,95.0:2.5992,99.0:2.8203,99.9:2.8700
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