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 |        1.743 | -                 |
+| resnet50 | offline    |         80 |         1.73 | -                 |

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

@@ -17,16 +17,16 @@ pip install -U mlcflow
 
 mlc rm cache -f
 
-mlc pull repo mlcommons@mlperf-automations --checkout=810c1d34cc415affef5624dcb46e4dd012d41c91
+mlc pull repo shahfarazz@mlperf-automations --checkout=b0beb56525ffcfa4c58e6949f2dbb8d23fedd4ac
 
 
 ```
 *Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf,
- you should simply reload mlcommons@mlperf-automations without checkout and clean MLC cache as follows:*
+ you should simply reload shahfarazz@mlperf-automations without checkout and clean MLC cache as follows:*
 
 ```bash
-mlc rm repo mlcommons@mlperf-automations
-mlc pull repo mlcommons@mlperf-automations
+mlc rm repo shahfarazz@mlperf-automations
+mlc pull repo shahfarazz@mlperf-automations
 mlc rm cache -f
 
 ```
@@ -41,4 +41,4 @@ Model Precision: fp32
 `acc`: `80.0`, Required accuracy for closed division `>= 75.6954`
 
 ### Performance Results 
-`Samples per second`: `1.74323`
+`Samples per second`: `1.73032`

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

@@ -1,9 +1,11 @@
-python3 python/main.py --profile resnet50-onnxruntime --model "/home/runner/MLC/repos/local/cache/get-tvm-model_c2b56bc2/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_1ee4b108 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_40a948e5/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/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/914cdb3c4b4745f69b432af8b52e9543.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_1ee4b108 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_e3583aa7/val.txt
-INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_1ee4b108', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_e3583aa7/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_c2b56bc2/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_40a948e5/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_1ee4b108', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/914cdb3c4b4745f69b432af8b52e9543.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_853a825b/resnet50_v1.onnx" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_f295ee14 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_421e0f76/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/shahfarazz@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/e53fe26f83af41dda2063f308cd60bc3.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_f295ee14 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_b25a8f52/val.txt
+INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_f295ee14', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_imagenet-aux-da_b25a8f52/val.txt', data_format=None, profile='resnet50-onnxruntime', scenario='Offline', max_batchsize=1, model='/home/runner/MLC/repos/local/cache/get-tvm-model_853a825b/resnet50_v1.onnx', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_421e0f76/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_f295ee14', preprocessed_dir=None, use_preprocessed_dataset=True, accuracy=True, find_peak_performance=False, debug=False, user_conf='/home/runner/MLC/repos/shahfarazz@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/e53fe26f83af41dda2063f308cd60bc3.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_c2b56bc2/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_853a825b/model-tvm.so
 INFO:main:starting TestScenario.Offline
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_c2b56bc2/model-tvm.so
-TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_c2b56bc2/model-tvm.so
-TestScenario.Offline qps=1.72, mean=1.7585, time=2.908, acc=80.000%, queries=5, tiles=50.0:1.4778,80.0:1.7665,90.0:2.3217,95.0:2.5992,99.0:2.8213,99.9:2.8713
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_853a825b/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_853a825b/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_853a825b/model-tvm.so
+TVM: loading model /home/runner/MLC/repos/local/cache/get-tvm-model_853a825b/model-tvm.so
+TestScenario.Offline qps=1.74, mean=1.7583, time=2.871, acc=80.000%, queries=5, tiles=50.0:1.4961,80.0:1.7814,90.0:2.3104,95.0:2.5749,99.0:2.7865,99.9:2.8341