Auto-merge updates from auto-update branch

Author: mlcommons-bot

.github/workflows/update-results.yml

@@ -10,8 +10,6 @@ jobs:
   update-results:
 
     runs-on: ubuntu-latest
-    env:
-      CM_INDEX: "on"
     strategy:
       fail-fast: false
       matrix:
@@ -53,4 +51,4 @@ jobs:
         ver_num=$(cat dbversion)
         let ver_num++
         
-        git diff-index --quiet HEAD || (echo "$ver_num" > dbversion && git add dbversion && git commit -am "Updated results summary" && git pull --rebase && git push)
+        git diff-index --quiet HEAD || (echo "$ver_num" > dbversion && git add dbversion && git commit -am "Updated results summary" && git pull --rebase && (git push || (sleep $((RANDOM % 300 + 1)) && git pull && git push))

open/Community/measurements/default-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 |        1.754 | -                 |
+| resnet50 | offline    |         80 |        1.722 | -                 |

open/Community/measurements/default-reference-cpu-tvm-onnx_v1.19.2-default_config/resnet50/offline/README.md

@@ -41,4 +41,4 @@ Model Precision: fp32
 `acc`: `80.0`, Required accuracy for closed division `>= 75.6954`
 
 ### Performance Results 
-`Samples per second`: `1.75351`
+`Samples per second`: `1.72203`

open/Community/measurements/default-reference-cpu-tvm-onnx_v1.19.2-default_config/resnet50/offline/accuracy_console.out

@@ -1,10 +1,10 @@
-python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/get-tvm-model_69fd5eb5/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_655a61cb --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_e53cfe20/test_results/default-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/8e0f5b4d99784826930b71265e475d72.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_655a61cb --dataset-list /home/runner/MLC/repos/local/cache/extract-file_29278e33/val.txt
-INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_655a61cb', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_29278e33/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_69fd5eb5/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_e53cfe20/test_results/default-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_655a61cb', 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/8e0f5b4d99784826930b71265e475d72.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_0838619d/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_bb0ec862 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_fe2b85b8/test_results/default-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/11bd3ab868b74c76997e018f16b767bc.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_bb0ec862 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_06c50cce/val.txt
+INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_bb0ec862', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_06c50cce/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_0838619d/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_fe2b85b8/test_results/default-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_bb0ec862', 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/11bd3ab868b74c76997e018f16b767bc.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_69fd5eb5/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_0838619d/model-tvm.so
 INFO:main:starting TestScenario.Offline
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_69fd5eb5/model-tvm.so
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_69fd5eb5/model-tvm.so
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_69fd5eb5/model-tvm.so
-TestScenario.Offline qps=1.74, mean=1.7642, time=2.879, acc=80.000%, queries=5, tiles=50.0:1.5012,80.0:1.7884,90.0:2.3199,95.0:2.5856,99.0:2.7982,99.9:2.8460
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_0838619d/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_0838619d/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_0838619d/model-tvm.so
+TestScenario.Offline qps=1.72, mean=1.7538, time=2.908, acc=80.000%, queries=5, tiles=50.0:1.4796,80.0:1.7690,90.0:2.3221,95.0:2.5986,99.0:2.8198,99.9:2.8696