Results from R50 GH action on ubuntu-latest

Author: mlcommons-bot

open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-tf_v2.18.0-default_config/README.md

@@ -1,3 +1,3 @@
 | Model    | Scenario   |   Accuracy |   Throughput | Latency (in ms)   |
 |----------|------------|------------|--------------|-------------------|
-| resnet50 | offline    |         76 |       21.044 | -                 |
+| resnet50 | offline    |         76 |       20.954 | -                 |

open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-tf_v2.18.0-default_config/resnet50/offline/README.md

@@ -16,7 +16,7 @@ pip install -U mlcflow
 
 mlc rm cache -f
 
-mlc pull repo GATEOverflow@mlperf-automations --checkout=67163895842676519581283dde7e710687463f74
+mlc pull repo GATEOverflow@mlperf-automations --checkout=f4f01b1d6b8848c2342cff1cf26ef4f2b94ce2cd
 
 
 ```
@@ -40,4 +40,4 @@ Model Precision: fp32
 `acc`: `76.0`, Required accuracy for closed division `>= 75.6954`
 
 ### Performance Results 
-`Samples per second`: `21.0437`
+`Samples per second`: `20.9537`

open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-tf_v2.18.0-default_config/resnet50/offline/accuracy_console.out

@@ -1,16 +1,16 @@
-python3 python/main.py --profile resnet50-tf --model "/home/runner/MLC/repos/local/cache/download-file_3fcf3239/resnet50_v1.pb" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_d49a652d --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_5ef83dc5/test_results/gh_ubuntu-latest_x86-reference-cpu-tf-v2.18.0-default_config/resnet50/offline/accuracy" --scenario Offline --count 500 --threads 4 --user_conf /home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/11b3904b3cc448a083e2efa1622139d9.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_d49a652d --dataset-list /home/runner/MLC/repos/local/cache/extract-file_27f2cc6d/val.txt
-INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_d49a652d', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_27f2cc6d/val.txt', data_format=None, profile='resnet50-tf', scenario='Offline', max_batchsize=32, model='/home/runner/MLC/repos/local/cache/download-file_3fcf3239/resnet50_v1.pb', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_5ef83dc5/test_results/gh_ubuntu-latest_x86-reference-cpu-tf-v2.18.0-default_config/resnet50/offline/accuracy', inputs=['input_tensor:0'], outputs=['ArgMax:0'], backend='tensorflow', device=None, model_name='resnet50', threads=4, qps=None, cache=0, cache_dir='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_d49a652d', 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/11b3904b3cc448a083e2efa1622139d9.conf', audit_conf='audit.config', time=None, count=500, performance_sample_count=None, max_latency=None, samples_per_query=8)
-2025-01-25 12:01:09.689125: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
-2025-01-25 12:01:09.692340: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
-2025-01-25 12:01:09.701059: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+python3 python/main.py --profile resnet50-tf --model "/home/runner/MLC/repos/local/cache/download-file_31713b54/resnet50_v1.pb" --dataset-path /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_278bcc75 --output "/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_e8900498/test_results/gh_ubuntu-latest_x86-reference-cpu-tf-v2.18.0-default_config/resnet50/offline/accuracy" --scenario Offline --count 500 --threads 4 --user_conf /home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/115d31dd2004447abc751afdb70de160.conf --accuracy --use_preprocessed_dataset --cache_dir /home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_278bcc75 --dataset-list /home/runner/MLC/repos/local/cache/extract-file_b1e78734/val.txt
+INFO:main:Namespace(dataset='imagenet', dataset_path='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_278bcc75', dataset_list='/home/runner/MLC/repos/local/cache/extract-file_b1e78734/val.txt', data_format=None, profile='resnet50-tf', scenario='Offline', max_batchsize=32, model='/home/runner/MLC/repos/local/cache/download-file_31713b54/resnet50_v1.pb', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_e8900498/test_results/gh_ubuntu-latest_x86-reference-cpu-tf-v2.18.0-default_config/resnet50/offline/accuracy', inputs=['input_tensor:0'], outputs=['ArgMax:0'], backend='tensorflow', device=None, model_name='resnet50', threads=4, qps=None, cache=0, cache_dir='/home/runner/MLC/repos/local/cache/get-preprocessed-dataset-imagenet_278bcc75', 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/115d31dd2004447abc751afdb70de160.conf', audit_conf='audit.config', time=None, count=500, performance_sample_count=None, max_latency=None, samples_per_query=8)
+2025-01-25 12:04:02.091167: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
+2025-01-25 12:04:02.094302: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
+2025-01-25 12:04:02.102985: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
 WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
-E0000 00:00:1737806469.715301    8497 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
-E0000 00:00:1737806469.719749    8497 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
-2025-01-25 12:01:09.735337: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+E0000 00:00:1737806642.116988    8546 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1737806642.121223    8546 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+2025-01-25 12:04:02.136563: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
 To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
 INFO:imagenet:Loading 500 preprocessed images using 4 threads
 INFO:imagenet:loaded 500 images, cache=0, already_preprocessed=True, took=0.0sec
-WARNING:tensorflow:From /home/runner/MLC/repos/local/cache/get-git-repo_000c361e/inference/vision/classification_and_detection/python/backend_tf.py:55: FastGFile.__init__ (from tensorflow.python.platform.gfile) is deprecated and will be removed in a future version.
+WARNING:tensorflow:From /home/runner/MLC/repos/local/cache/get-git-repo_317c6a52/inference/vision/classification_and_detection/python/backend_tf.py:55: FastGFile.__init__ (from tensorflow.python.platform.gfile) is deprecated and will be removed in a future version.
 Instructions for updating:
 Use tf.gfile.GFile.
 WARNING:tensorflow:From /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/tensorflow/python/tools/strip_unused_lib.py:84: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
@@ -19,8 +19,8 @@ This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/mi
 WARNING:tensorflow:From /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/tensorflow/python/tools/optimize_for_inference_lib.py:138: remove_training_nodes (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
 Instructions for updating:
 This API was designed for TensorFlow v1. See https://www.tensorflow.org/guide/migrate for instructions on how to migrate your code to TensorFlow v2.
-2025-01-25 12:02:05.381633: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:152] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)
+2025-01-25 12:04:58.595882: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:152] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)
 WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
-I0000 00:00:1737806525.423382    8497 mlir_graph_optimization_pass.cc:401] MLIR V1 optimization pass is not enabled
+I0000 00:00:1737806698.658435    8546 mlir_graph_optimization_pass.cc:401] MLIR V1 optimization pass is not enabled
 INFO:main:starting TestScenario.Offline
-TestScenario.Offline qps=0.67, mean=15.0787, time=23.888, acc=76.000%, queries=16, tiles=50.0:15.0627,80.0:23.3203,90.0:23.6231,95.0:23.7585,99.0:23.8173,99.9:23.8305
+TestScenario.Offline qps=0.66, mean=15.2126, time=24.079, acc=76.000%, queries=16, tiles=50.0:15.4441,80.0:23.0636,90.0:23.9552,95.0:23.9835,99.0:23.9976,99.9:24.0007