Results from R50 GH action on

Author: mlcommons-bot

open/MLCommons/measurements/gh_ubuntu-latest-reference-cpu-tvm-onnx_v1.19.2-default_config/README.md

@@ -1,3 +1,3 @@
 | Model    | Scenario   |   Accuracy |   Throughput | Latency (in ms)   |
 |----------|------------|------------|--------------|-------------------|
-| resnet50 | offline    |         80 |        1.722 | -                 |
+| resnet50 | offline    |         80 |        1.725 | -                 |

open/MLCommons/measurements/gh_ubuntu-latest-reference-cpu-tvm-onnx_v1.19.2-default_config/resnet50/offline/README.md

@@ -17,7 +17,7 @@ pip install -U mlcflow
 
 mlc rm cache -f
 
-mlc pull repo GATEOverflow@mlperf-automations --checkout=d5fe184c5afb68374c9be5e7e145a4cbe5e6d1be
+mlc pull repo GATEOverflow@mlperf-automations --checkout=b08370f7e8a879b3597847522146c45a08e4c2c4
 
 
 ```
@@ -41,4 +41,4 @@ Model Precision: fp32
 `acc`: `80.0`, Required accuracy for closed division `>= 75.6954`
 
 ### Performance Results 
-`Samples per second`: `1.72184`
+`Samples per second`: `1.72542`

open/MLCommons/measurements/gh_ubuntu-latest-reference-cpu-tvm-onnx_v1.19.2-default_config/resnet50/offline/accuracy_console.out

@@ -1,11 +1,11 @@
-python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/get-tvm-model_fa72ea6c/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_23fb37fb --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_8bd8b30a/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/1cede6bcc5254c9f9c14bfea970d455a.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_23fb37fb --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_b1545dab/val.txt
-INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_23fb37fb', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_b1545dab/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_fa72ea6c/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_8bd8b30a/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_23fb37fb', 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/1cede6bcc5254c9f9c14bfea970d455a.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_fdf74cd2/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_4df85b09 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_c60e0a6a/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/b60806433a60499fa9336db93f7ad824.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_4df85b09 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_dd10bb12/val.txt
+INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_4df85b09', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_dd10bb12/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_fdf74cd2/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_c60e0a6a/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_4df85b09', 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/b60806433a60499fa9336db93f7ad824.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_fa72ea6c/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fdf74cd2/model-tvm.so
 INFO:main:starting TestScenario.Offline
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fa72ea6c/model-tvm.so
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fa72ea6c/model-tvm.so
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fa72ea6c/model-tvm.so
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fa72ea6c/model-tvm.so
-TestScenario.Offline qps=1.71, mean=1.7781, time=2.921, acc=80.000%, queries=5, tiles=50.0:1.5054,80.0:1.7905,90.0:2.3438,95.0:2.6205,99.0:2.8419,99.9:2.8917
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fdf74cd2/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fdf74cd2/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fdf74cd2/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_fdf74cd2/model-tvm.so
+TestScenario.Offline qps=1.73, mean=1.7607, time=2.891, acc=80.000%, queries=5, tiles=50.0:1.4806,80.0:1.7897,90.0:2.3273,95.0:2.5960,99.0:2.8111,99.9:2.8594