diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/README.md b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/README.md index d14e1f9a2..09b598a8e 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/README.md +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/README.md @@ -1,3 +1,3 @@ | Model | Scenario | Accuracy | Throughput | Latency (in ms) | |---------|------------|------------|--------------|-------------------| -| rgat | offline | 75.4 | 10.109 | - | \ No newline at end of file +| rgat | offline | 75.6 | 10.186 | - | \ No newline at end of file diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/README.md b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/README.md index c0ab2a99e..dbd5a86d5 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/README.md +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/README.md @@ -16,7 +16,7 @@ pip install -U mlcflow mlc rm cache -f -mlc pull repo sujik18@mlperf-automations --checkout=89699426160e56729706d649850d2d7eff9a94c4 +mlc pull repo sujik18@mlperf-automations --checkout=f3725f2e3db38d06f4f47d423c3206b2431bac16 ``` @@ -37,7 +37,7 @@ Platform: gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config Model Precision: fp32 ### Accuracy Results -`acc`: `75.4`, Required accuracy for closed division `>= 0.72131` +`acc`: `75.6`, Required accuracy for closed division `>= 0.72131` ### Performance Results -`Samples per second`: `10.1086` +`Samples per second`: `10.1857` diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy_console.out b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy_console.out index 11b8f3981..62962b192 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy_console.out +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy_console.out @@ -1,10 +1,10 @@ -INFO:main:Namespace(dataset='igbh-dgl-tiny', dataset_path='/home/runner/MLC/repos/local/cache/get-dataset-igbh_4e3fecad', layout='COO', profile='debug-dgl', scenario='Offline', max_batchsize=1, threads=4, accuracy=True, find_peak_performance=False, backend='dgl', model_name='rgat', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_dbf13ff8/test_results/gh_ubuntu-latest_x86-reference-cpu-pytorch-v2.4.0-default_config/rgat/offline/accuracy', qps=None, model_path='/home/runner/MLC/repos/local/cache/download-file_635628b9/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/sujik18@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/d26002d10c1d489399c8f24751032521.conf', audit_conf='audit.config', time=None, count=500, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8) -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:231: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.) +INFO:main:Namespace(dataset='igbh-dgl-tiny', dataset_path='/home/runner/MLC/repos/local/cache/get-dataset-igbh_88584cff', layout='COO', profile='debug-dgl', scenario='Offline', max_batchsize=1, threads=4, accuracy=True, find_peak_performance=False, backend='dgl', model_name='rgat', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_b2d4e957/test_results/gh_ubuntu-latest_x86-reference-cpu-pytorch-v2.4.0-default_config/rgat/offline/accuracy', qps=None, model_path='/home/runner/MLC/repos/local/cache/download-file_f134137d/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/sujik18@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/a76de57f4d9d4823a79ad145579dde37.conf', audit_conf='audit.config', time=None, count=500, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8) +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:231: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.) return edge, torch.from_numpy( -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:312: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:312: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. torch.load( -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:318: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:318: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. torch.load( -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/backend_dgl.py:70: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/backend_dgl.py:70: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. ckpt = torch.load(ckpt_path, map_location=self.device) INFO:main:starting TestScenario.Offline diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.mmd b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.mmd index c97f747ce..1f9ee3609 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.mmd +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.mmd @@ -10,24 +10,24 @@ graph TD app-mlperf-inference,d775cac873ee4231_(_python,_rgat,_pytorch,_cpu,_test,_r5.0-dev_default,_offline_) --> pull,git,repo get-mlperf-inference-utils,e341e5f86d8342e5 --> get,mlperf,inference,src,_branch.dev app-mlperf-inference,d775cac873ee4231_(_python,_rgat,_pytorch,_cpu,_test,_r5.0-dev_default,_offline_) --> get,mlperf,inference,utils - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> detect,os + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> detect,cpu + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> detect,cpu get-sys-utils-cm,bc90993277e84b8e --> detect,os - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,python + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,python get-generic-python-lib,94b62a682bc44791_(_torch_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_torch_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_torch_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_torch_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_torch + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_torch download-file,9cdc8dc41aae437e_(_rclone,_url.mlc-inference:mlcommons-inference-wg-public/R-GAT/RGAT.pt_) --> detect,os get-rclone,22ffb43c49c9419e --> detect,os download-file,9cdc8dc41aae437e_(_rclone,_url.mlc-inference:mlcommons-inference-wg-public/R-GAT/RGAT.pt_) --> get,rclone download-file,9cdc8dc41aae437e_(_rclone,_url.mlc-inference:mlcommons-inference-wg-public/R-GAT/RGAT.pt_) --> get,rclone-config,_mlc-inference get-ml-model-rgat,b409fd66c5ad4ed5 --> download,file,_rclone,_url.mlc-inference:mlcommons-inference-wg-public/R-GAT/RGAT.pt - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,ml-model,rgat + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,ml-model,rgat get-dataset-igbh,824e61316c074253 --> mlperf,inference,source,_branch.dev get-dataset-igbh,824e61316c074253 --> get,python get-generic-python-lib,94b62a682bc44791_(_package.igb,_url.git+https://github.com/gateoverflow/IGB-Datasets.git_) --> detect,os @@ -51,7 +51,7 @@ graph TD get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.tqdm_) --> get,generic-python-lib,_pip get-dataset-igbh,824e61316c074253 --> get,generic-python-lib,_package.tqdm - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,dataset,mlperf,inference,igbh + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,dataset,mlperf,inference,igbh generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,os detect-cpu,586c8a43320142f7 --> detect,os generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,cpu @@ -59,7 +59,7 @@ graph TD generate-mlperf-inference-user-conf,3af4475745964b93 --> get,mlcommons,inference,src,_branch.dev get-mlperf-inference-sut-configs,c2fbf72009e2445b --> get,cache,dir,_name.mlperf-inference-sut-configs generate-mlperf-inference-user-conf,3af4475745964b93 --> get,sut,configs - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> generate,user-conf,mlperf,inference + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> generate,user-conf,mlperf,inference get-mlperf-inference-loadgen,64c3d98d0ba04950 --> detect,os get-mlperf-inference-loadgen,64c3d98d0ba04950 --> get,python3 get-mlperf-inference-src,4b57186581024797 --> detect,os @@ -94,93 +94,93 @@ graph TD get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.setuptools_) --> get,generic-python-lib,_pip get-mlperf-inference-loadgen,64c3d98d0ba04950 --> get,generic-python-lib,_package.setuptools - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,loadgen - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,mlcommons,inference,src,_branch.dev - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,mlcommons,inference,src + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,loadgen + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,mlcommons,inference,src,_branch.dev + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,mlcommons,inference,src get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.psutil + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.psutil get-generic-python-lib,94b62a682bc44791_(_package.colorama_) --> get,python3 - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.colorama + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.colorama get-generic-python-lib,94b62a682bc44791_(_package.tqdm_) --> get,python3 - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.tqdm + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.tqdm get-generic-python-lib,94b62a682bc44791_(_package.requests_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.requests_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.requests_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.requests_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.requests + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.requests get-generic-python-lib,94b62a682bc44791_(_package.torchdata_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.torchdata_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.torchdata_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.torchdata_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.torchdata + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.torchdata get-generic-python-lib,94b62a682bc44791_(_package.pybind11_) --> get,python3 - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.pybind11 + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.pybind11 get-generic-python-lib,94b62a682bc44791_(_package.PyYAML_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.PyYAML_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.PyYAML_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.PyYAML_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.PyYAML + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.PyYAML get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.numpy + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.numpy get-generic-python-lib,94b62a682bc44791_(_package.pydantic_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.pydantic_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.pydantic_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.pydantic_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.pydantic + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.pydantic get-generic-python-lib,94b62a682bc44791_(_package.igb,_url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.igb,_url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.igb,_url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.igb,_url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.igb,_url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.igb,_url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git get-generic-python-lib,94b62a682bc44791_(_package.torch-geometric,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.torch-geometric,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.torch-geometric,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.torch-geometric,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.torch-geometric,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.torch-geometric,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html get-generic-python-lib,94b62a682bc44791_(_package.torch-scatter,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.torch-scatter,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.torch-scatter,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.torch-scatter,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.torch-scatter,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.torch-scatter,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html get-generic-python-lib,94b62a682bc44791_(_package.torch-sparse,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.torch-sparse,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.torch-sparse,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.torch-sparse,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.torch-sparse,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.torch-sparse,_find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html get-generic-python-lib,94b62a682bc44791_(_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.4/repo.html_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.4/repo.html_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.4/repo.html_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.4/repo.html_) --> get,generic-python-lib,_pip - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> get,generic-python-lib,_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.4/repo.html + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> get,generic-python-lib,_package.dgl,_find_links_url.https://data.dgl.ai/wheels/torch-2.4/repo.html detect-cpu,586c8a43320142f7 --> detect,os benchmark-program,19f369ef47084895 --> detect,cpu benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_rgat,_offline,_cpu,_fp32_) --> benchmark-mlperf \ No newline at end of file + app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_cpu,_offline,_pytorch,_fp32_) --> benchmark-mlperf \ No newline at end of file diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.png b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.png index c1df23f8d..a1d01aee9 100644 Binary files a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.png and b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-deps.png differ diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-version-info.json b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-version-info.json index f586eb964..83fd77e30 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-version-info.json +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/mlc-version-info.json @@ -117,7 +117,7 @@ "script_tags": "detect-os,detect,os,info", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -137,7 +137,7 @@ "script_tags": "detect,cpu,detect-cpu,info", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -157,7 +157,7 @@ "script_tags": "get,python,python3,get-python,get-python3", "script_variations": "", "version": "3.12.8", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -227,7 +227,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "torch", "version": "2.4.0", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -287,7 +287,7 @@ "script_tags": "get,raw,ml-model,rgat", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -527,7 +527,7 @@ "script_tags": "get,dataset,mlperf,rgat,igbh,inference", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -607,7 +607,7 @@ "script_tags": "generate,mlperf,inference,user-conf,inference-user-conf", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -957,7 +957,7 @@ "script_tags": "get,loadgen,inference,inference-loadgen,mlperf,mlcommons", "script_variations": "", "version": "master", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -967,7 +967,7 @@ "script_tags": "get,src,source,inference,inference-src,inference-source,mlperf,mlcommons", "script_variations": "branch.dev", "version": "r5.0-git-30cadcfc286585afb3ef69184266b30181542a10", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -977,7 +977,7 @@ "script_tags": "get,src,source,inference,inference-src,inference-source,mlperf,mlcommons", "script_variations": "", "version": "custom-git-30cadcfc286585afb3ef69184266b30181542a10", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1047,7 +1047,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.psutil", "version": "6.1.1", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1067,7 +1067,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.colorama", "version": "0.4.6", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1087,7 +1087,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.tqdm", "version": "4.67.1", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1157,7 +1157,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.requests", "version": "2.32.3", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1227,7 +1227,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.torchdata", "version": "0.10.1", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1247,7 +1247,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.pybind11", "version": "2.13.6", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1317,7 +1317,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.PyYAML", "version": "6.0.2", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1387,7 +1387,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.numpy", "version": "1.26.4", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1457,7 +1457,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.pydantic", "version": "2.10.6", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1527,7 +1527,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.igb,url.git+https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git", "version": "0.1.0", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1597,7 +1597,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.torch-geometric,find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html", "version": "2.6.1", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1667,7 +1667,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.torch-scatter,find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html", "version": "2.1.2", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1737,7 +1737,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.torch-sparse,find_links_url.https://data.pyg.org/whl/torch-2.4.0+cpu.html", "version": "0.6.18", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1807,7 +1807,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.dgl,find_links_url.https://data.dgl.ai/wheels/torch-2.4/repo.html", "version": "2.4.0", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } }, { @@ -1847,7 +1847,7 @@ "script_tags": "mlperf,benchmark-mlperf", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_rgat,_offline,_cpu,_fp32 )" + "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_cpu,_offline,_pytorch,_fp32 )" } } ] diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/os_info.json b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/os_info.json index c3aad61e6..6092f07e6 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/os_info.json +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/os_info.json @@ -26,5 +26,5 @@ ], "MLC_HOST_PLATFORM_FLAVOR": "x86_64", "MLC_HOST_PYTHON_BITS": "64", - "MLC_HOST_SYSTEM_NAME": "fv-az1910-389" + "MLC_HOST_SYSTEM_NAME": "fv-az1912-295" } \ No newline at end of file diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance_console.out b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance_console.out index 59bfbab30..4064f45c1 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance_console.out +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance_console.out @@ -1,12 +1,12 @@ -INFO:main:Namespace(dataset='igbh-dgl-tiny', dataset_path='/home/runner/MLC/repos/local/cache/get-dataset-igbh_4e3fecad', layout='COO', profile='debug-dgl', scenario='Offline', max_batchsize=1, threads=4, accuracy=False, find_peak_performance=False, backend='dgl', model_name='rgat', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_dbf13ff8/test_results/gh_ubuntu-latest_x86-reference-cpu-pytorch-v2.4.0-default_config/rgat/offline/performance/run_1', qps=None, model_path='/home/runner/MLC/repos/local/cache/download-file_635628b9/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/sujik18@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/b18140790c044bc3b13aacde1e20b219.conf', audit_conf='audit.config', time=None, count=None, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8) -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:231: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.) +INFO:main:Namespace(dataset='igbh-dgl-tiny', dataset_path='/home/runner/MLC/repos/local/cache/get-dataset-igbh_88584cff', layout='COO', profile='debug-dgl', scenario='Offline', max_batchsize=1, threads=4, accuracy=False, find_peak_performance=False, backend='dgl', model_name='rgat', output='/home/runner/MLC/repos/local/cache/get-mlperf-inference-results-dir_b2d4e957/test_results/gh_ubuntu-latest_x86-reference-cpu-pytorch-v2.4.0-default_config/rgat/offline/performance/run_1', qps=None, model_path='/home/runner/MLC/repos/local/cache/download-file_f134137d/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/sujik18@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/a0dd5513386b48e48e4d12206b6b474b.conf', audit_conf='audit.config', time=None, count=None, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8) +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:231: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:206.) return edge, torch.from_numpy( -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:312: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:312: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. torch.load( -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:318: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/dgl_utilities/feature_fetching.py:318: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. torch.load( DGL backend not selected or invalid. Assuming PyTorch for now. -/home/runner/MLC/repos/local/cache/get-git-repo_e5c09ee3/inference/graph/R-GAT/backend_dgl.py:70: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. +/home/runner/MLC/repos/local/cache/get-git-repo_6acb17e7/inference/graph/R-GAT/backend_dgl.py:70: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. ckpt = torch.load(ckpt_path, map_location=self.device) INFO:main:starting TestScenario.Offline Setting the default backend to "pytorch". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable. Valid options are: pytorch, mxnet, tensorflow (all lowercase) diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/system_info.txt b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/system_info.txt index 2e3c248ae..a6eef1228 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/system_info.txt +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/system_info.txt @@ -2,10 +2,10 @@ Platform Details ------------------------------------------------------------ 1. uname -a -Linux fv-az1910-389 6.8.0-1020-azure #23-Ubuntu SMP Mon Dec 9 16:58:58 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux +Linux fv-az1912-295 6.8.0-1020-azure #23-Ubuntu SMP Mon Dec 9 16:58:58 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux ------------------------------------------------------------ 2. w - 15:25:31 up 5 min, 0 user, load average: 1.23, 0.80, 0.37 + 17:04:11 up 8 min, 0 user, load average: 1.78, 0.93, 0.40 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -45,10 +45,10 @@ systemd-+-ModemManager---3*[{ModemManager}] |-php-fpm8.3---2*[php-fpm8.3] |-polkitd---3*[{polkitd}] |-provisioner-+-Runner.Listener-+-Runner.Worker-+-bash---mlcr---sh---bash---pstree - | | | `-18*[{Runner.Worker}] - | | `-16*[{Runner.Listener}] + | | | `-17*[{Runner.Worker}] + | | `-14*[{Runner.Listener}] | |-provjobd---9*[{provjobd}] - | `-13*[{provisioner}] + | `-14*[{provisioner}] |-python3---python3---4*[{python3}] |-rsyslogd---3*[{rsyslogd}] |-systemd---(sd-pam) @@ -67,7 +67,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.424 +cpu MHz : 2590.804 cache size : 512 KB physical id : 0 siblings : 4 @@ -81,7 +81,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -95,7 +95,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 3240.293 +cpu MHz : 2603.693 cache size : 512 KB physical id : 0 siblings : 4 @@ -109,7 +109,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -123,7 +123,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.424 +cpu MHz : 3243.606 cache size : 512 KB physical id : 0 siblings : 4 @@ -137,7 +137,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -151,7 +151,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2613.603 +cpu MHz : 2445.432 cache size : 512 KB physical id : 0 siblings : 4 @@ -165,7 +165,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -188,7 +188,7 @@ Thread(s) per core: 2 Core(s) per socket: 2 Socket(s): 1 Stepping: 1 -BogoMIPS: 4890.84 +BogoMIPS: 4890.86 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm Virtualization: AMD-V Hypervisor vendor: Microsoft @@ -218,53 +218,53 @@ Vulnerability Tsx async abort: Not affected available: 1 nodes (0) node 0 cpus: 0 1 2 3 node 0 size: 15990 MB -node 0 free: 5420 MB +node 0 free: 5449 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo MemTotal: 16373796 kB -MemFree: 5550976 kB -MemAvailable: 15339044 kB -Buffers: 189092 kB -Cached: 9448652 kB +MemFree: 5580112 kB +MemAvailable: 15368736 kB +Buffers: 189928 kB +Cached: 9448192 kB SwapCached: 0 kB -Active: 1241740 kB -Inactive: 8694660 kB -Active(anon): 379116 kB +Active: 1240264 kB +Inactive: 8696044 kB +Active(anon): 378208 kB Inactive(anon): 0 kB -Active(file): 862624 kB -Inactive(file): 8694660 kB -Unevictable: 46772 kB -Mlocked: 43700 kB +Active(file): 862056 kB +Inactive(file): 8696044 kB +Unevictable: 46904 kB +Mlocked: 43832 kB SwapTotal: 4194300 kB SwapFree: 4194300 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 1196 kB +Dirty: 1204 kB Writeback: 0 kB -AnonPages: 343120 kB -Mapped: 342688 kB -Shmem: 71708 kB -KReclaimable: 576696 kB -Slab: 687676 kB -SReclaimable: 576696 kB -SUnreclaim: 110980 kB -KernelStack: 4004 kB -PageTables: 6320 kB +AnonPages: 343220 kB +Mapped: 342524 kB +Shmem: 71268 kB +KReclaimable: 576436 kB +Slab: 687612 kB +SReclaimable: 576436 kB +SUnreclaim: 111176 kB +KernelStack: 3924 kB +PageTables: 6200 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 12381196 kB -Committed_AS: 2206264 kB +Committed_AS: 2178128 kB VmallocTotal: 34359738367 kB -VmallocUsed: 35088 kB +VmallocUsed: 35024 kB VmallocChunk: 0 kB Percpu: 2208 kB HardwareCorrupted: 0 kB -AnonHugePages: 159744 kB +AnonHugePages: 174080 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB FileHugePages: 0 kB @@ -276,12 +276,12 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 112576 kB -DirectMap2M: 4081664 kB +DirectMap4k: 116672 kB +DirectMap2M: 4077568 kB DirectMap1G: 14680064 kB ------------------------------------------------------------ 10. who -r - run-level 5 2025-02-02 15:19 + run-level 5 2025-02-02 16:56 ------------------------------------------------------------ 11. Systemd service manager version systemd 255 (255.4-1ubuntu8.4) @@ -732,7 +732,7 @@ xfs_scrub_all.timer disabled enabled BOOT_IMAGE=/vmlinuz-6.8.0-1020-azure root=PARTUUID=8be7931c-8315-4344-95d4-bcbd379998fb ro console=tty1 console=ttyS0 earlyprintk=ttyS0 nvme_core.io_timeout=240 panic=-1 ------------------------------------------------------------ 14. cpupower frequency-info -analyzing CPU 0: +analyzing CPU 3: no or unknown cpufreq driver is active on this CPU CPUs which run at the same hardware frequency: Not Available CPUs which need to have their frequency coordinated by software: Not Available @@ -808,16 +808,16 @@ fs.binfmt_misc.llvm-16-runtime/binfmt = flags: fs.binfmt_misc.llvm-16-runtime/binfmt = offset 0 fs.binfmt_misc.llvm-16-runtime/binfmt = magic 4243 fs.binfmt_misc.status = enabled -fs.dentry-state = 250325 242896 45 0 14858 0 +fs.dentry-state = 250263 242820 45 0 14846 0 fs.dir-notify-enable = 1 fs.epoll.max_user_watches = 3643703 fs.fanotify.max_queued_events = 16384 fs.fanotify.max_user_groups = 128 fs.fanotify.max_user_marks = 132601 fs.file-max = 9223372036854775807 -fs.file-nr = 1664 0 9223372036854775807 -fs.inode-nr = 235444 568 -fs.inode-state = 235444 568 0 0 0 0 0 +fs.file-nr = 1696 0 9223372036854775807 +fs.inode-nr = 235370 568 +fs.inode-state = 235370 568 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 1280 fs.inotify.max_user_watches = 655360 @@ -876,7 +876,7 @@ kernel.ftrace_dump_on_oops = 0 kernel.ftrace_enabled = 1 kernel.hardlockup_all_cpu_backtrace = 0 kernel.hardlockup_panic = 0 -kernel.hostname = fv-az1910-389 +kernel.hostname = fv-az1912-295 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -909,7 +909,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 0 -kernel.ns_last_pid = 8152 +kernel.ns_last_pid = 8199 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -942,11 +942,11 @@ kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 kernel.pty.nr = 0 kernel.pty.reserve = 1024 -kernel.random.boot_id = 1811300d-8dd2-4372-90d7-08d38244ab42 +kernel.random.boot_id = 5611592d-e697-4a12-a5e7-5bb8a2ecf70a kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 015d4ab6-ae49-4718-8f4a-c114f3ced9be +kernel.random.uuid = 66b5142b-9335-4f26-a732-d43fe963387b kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 @@ -1359,7 +1359,7 @@ net.ipv4.tcp_ehash_entries = 131072 net.ipv4.tcp_fack = 0 net.ipv4.tcp_fastopen = 1 net.ipv4.tcp_fastopen_blackhole_timeout_sec = 0 -net.ipv4.tcp_fastopen_key = 45866348-2e12b44c-6b6d4ac6-4ed67cac +net.ipv4.tcp_fastopen_key = aec79447-2fe4f500-6ebbdc5c-84bb9b98 net.ipv4.tcp_fin_timeout = 60 net.ipv4.tcp_frto = 2 net.ipv4.tcp_fwmark_accept = 0 @@ -1833,7 +1833,7 @@ net.mptcp.stale_loss_cnt = 4 net.netfilter.nf_conntrack_acct = 0 net.netfilter.nf_conntrack_buckets = 262144 net.netfilter.nf_conntrack_checksum = 1 -net.netfilter.nf_conntrack_count = 142 +net.netfilter.nf_conntrack_count = 180 net.netfilter.nf_conntrack_dccp_loose = 1 net.netfilter.nf_conntrack_dccp_timeout_closereq = 64 net.netfilter.nf_conntrack_dccp_timeout_closing = 64 @@ -2056,8 +2056,8 @@ System Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0002-5043-5003-7022-3599-90 - UUID: 173dc122-f40d-b641-8554-fde4f9be30af + Serial Number: 0000-0003-9597-5827-1112-5637-31 + UUID: 2ae3f336-14fa-134c-a28b-baa567ac73c9 Wake-up Type: Power Switch Handle 0x0002, DMI type 2, 8 bytes @@ -2065,7 +2065,7 @@ Base Board Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0009-6075-8306-4972-4724-95 + Serial Number: 0000-0011-7126-6047-5478-8320-73 Handle 0x0003, DMI type 3, 17 bytes Chassis Information @@ -2073,7 +2073,7 @@ Chassis Information Type: Desktop Lock: Not Present Version: 7.0 - Serial Number: 4916-1165-8411-2326-8427-4377-07 + Serial Number: 6278-9939-8908-6076-3747-1423-67 Asset Tag: 7783-7084-3265-9085-8269-3286-77 Boot-up State: Safe Power Supply State: Safe diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/system_info.txt b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/system_info.txt index 2e3c248ae..a6eef1228 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/system_info.txt +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/system_info.txt @@ -2,10 +2,10 @@ Platform Details ------------------------------------------------------------ 1. uname -a -Linux fv-az1910-389 6.8.0-1020-azure #23-Ubuntu SMP Mon Dec 9 16:58:58 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux +Linux fv-az1912-295 6.8.0-1020-azure #23-Ubuntu SMP Mon Dec 9 16:58:58 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux ------------------------------------------------------------ 2. w - 15:25:31 up 5 min, 0 user, load average: 1.23, 0.80, 0.37 + 17:04:11 up 8 min, 0 user, load average: 1.78, 0.93, 0.40 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -45,10 +45,10 @@ systemd-+-ModemManager---3*[{ModemManager}] |-php-fpm8.3---2*[php-fpm8.3] |-polkitd---3*[{polkitd}] |-provisioner-+-Runner.Listener-+-Runner.Worker-+-bash---mlcr---sh---bash---pstree - | | | `-18*[{Runner.Worker}] - | | `-16*[{Runner.Listener}] + | | | `-17*[{Runner.Worker}] + | | `-14*[{Runner.Listener}] | |-provjobd---9*[{provjobd}] - | `-13*[{provisioner}] + | `-14*[{provisioner}] |-python3---python3---4*[{python3}] |-rsyslogd---3*[{rsyslogd}] |-systemd---(sd-pam) @@ -67,7 +67,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.424 +cpu MHz : 2590.804 cache size : 512 KB physical id : 0 siblings : 4 @@ -81,7 +81,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -95,7 +95,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 3240.293 +cpu MHz : 2603.693 cache size : 512 KB physical id : 0 siblings : 4 @@ -109,7 +109,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -123,7 +123,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.424 +cpu MHz : 3243.606 cache size : 512 KB physical id : 0 siblings : 4 @@ -137,7 +137,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -151,7 +151,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2613.603 +cpu MHz : 2445.432 cache size : 512 KB physical id : 0 siblings : 4 @@ -165,7 +165,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -188,7 +188,7 @@ Thread(s) per core: 2 Core(s) per socket: 2 Socket(s): 1 Stepping: 1 -BogoMIPS: 4890.84 +BogoMIPS: 4890.86 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm Virtualization: AMD-V Hypervisor vendor: Microsoft @@ -218,53 +218,53 @@ Vulnerability Tsx async abort: Not affected available: 1 nodes (0) node 0 cpus: 0 1 2 3 node 0 size: 15990 MB -node 0 free: 5420 MB +node 0 free: 5449 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo MemTotal: 16373796 kB -MemFree: 5550976 kB -MemAvailable: 15339044 kB -Buffers: 189092 kB -Cached: 9448652 kB +MemFree: 5580112 kB +MemAvailable: 15368736 kB +Buffers: 189928 kB +Cached: 9448192 kB SwapCached: 0 kB -Active: 1241740 kB -Inactive: 8694660 kB -Active(anon): 379116 kB +Active: 1240264 kB +Inactive: 8696044 kB +Active(anon): 378208 kB Inactive(anon): 0 kB -Active(file): 862624 kB -Inactive(file): 8694660 kB -Unevictable: 46772 kB -Mlocked: 43700 kB +Active(file): 862056 kB +Inactive(file): 8696044 kB +Unevictable: 46904 kB +Mlocked: 43832 kB SwapTotal: 4194300 kB SwapFree: 4194300 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 1196 kB +Dirty: 1204 kB Writeback: 0 kB -AnonPages: 343120 kB -Mapped: 342688 kB -Shmem: 71708 kB -KReclaimable: 576696 kB -Slab: 687676 kB -SReclaimable: 576696 kB -SUnreclaim: 110980 kB -KernelStack: 4004 kB -PageTables: 6320 kB +AnonPages: 343220 kB +Mapped: 342524 kB +Shmem: 71268 kB +KReclaimable: 576436 kB +Slab: 687612 kB +SReclaimable: 576436 kB +SUnreclaim: 111176 kB +KernelStack: 3924 kB +PageTables: 6200 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 12381196 kB -Committed_AS: 2206264 kB +Committed_AS: 2178128 kB VmallocTotal: 34359738367 kB -VmallocUsed: 35088 kB +VmallocUsed: 35024 kB VmallocChunk: 0 kB Percpu: 2208 kB HardwareCorrupted: 0 kB -AnonHugePages: 159744 kB +AnonHugePages: 174080 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB FileHugePages: 0 kB @@ -276,12 +276,12 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 112576 kB -DirectMap2M: 4081664 kB +DirectMap4k: 116672 kB +DirectMap2M: 4077568 kB DirectMap1G: 14680064 kB ------------------------------------------------------------ 10. who -r - run-level 5 2025-02-02 15:19 + run-level 5 2025-02-02 16:56 ------------------------------------------------------------ 11. Systemd service manager version systemd 255 (255.4-1ubuntu8.4) @@ -732,7 +732,7 @@ xfs_scrub_all.timer disabled enabled BOOT_IMAGE=/vmlinuz-6.8.0-1020-azure root=PARTUUID=8be7931c-8315-4344-95d4-bcbd379998fb ro console=tty1 console=ttyS0 earlyprintk=ttyS0 nvme_core.io_timeout=240 panic=-1 ------------------------------------------------------------ 14. cpupower frequency-info -analyzing CPU 0: +analyzing CPU 3: no or unknown cpufreq driver is active on this CPU CPUs which run at the same hardware frequency: Not Available CPUs which need to have their frequency coordinated by software: Not Available @@ -808,16 +808,16 @@ fs.binfmt_misc.llvm-16-runtime/binfmt = flags: fs.binfmt_misc.llvm-16-runtime/binfmt = offset 0 fs.binfmt_misc.llvm-16-runtime/binfmt = magic 4243 fs.binfmt_misc.status = enabled -fs.dentry-state = 250325 242896 45 0 14858 0 +fs.dentry-state = 250263 242820 45 0 14846 0 fs.dir-notify-enable = 1 fs.epoll.max_user_watches = 3643703 fs.fanotify.max_queued_events = 16384 fs.fanotify.max_user_groups = 128 fs.fanotify.max_user_marks = 132601 fs.file-max = 9223372036854775807 -fs.file-nr = 1664 0 9223372036854775807 -fs.inode-nr = 235444 568 -fs.inode-state = 235444 568 0 0 0 0 0 +fs.file-nr = 1696 0 9223372036854775807 +fs.inode-nr = 235370 568 +fs.inode-state = 235370 568 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 1280 fs.inotify.max_user_watches = 655360 @@ -876,7 +876,7 @@ kernel.ftrace_dump_on_oops = 0 kernel.ftrace_enabled = 1 kernel.hardlockup_all_cpu_backtrace = 0 kernel.hardlockup_panic = 0 -kernel.hostname = fv-az1910-389 +kernel.hostname = fv-az1912-295 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -909,7 +909,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 0 -kernel.ns_last_pid = 8152 +kernel.ns_last_pid = 8199 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -942,11 +942,11 @@ kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 kernel.pty.nr = 0 kernel.pty.reserve = 1024 -kernel.random.boot_id = 1811300d-8dd2-4372-90d7-08d38244ab42 +kernel.random.boot_id = 5611592d-e697-4a12-a5e7-5bb8a2ecf70a kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 015d4ab6-ae49-4718-8f4a-c114f3ced9be +kernel.random.uuid = 66b5142b-9335-4f26-a732-d43fe963387b kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 @@ -1359,7 +1359,7 @@ net.ipv4.tcp_ehash_entries = 131072 net.ipv4.tcp_fack = 0 net.ipv4.tcp_fastopen = 1 net.ipv4.tcp_fastopen_blackhole_timeout_sec = 0 -net.ipv4.tcp_fastopen_key = 45866348-2e12b44c-6b6d4ac6-4ed67cac +net.ipv4.tcp_fastopen_key = aec79447-2fe4f500-6ebbdc5c-84bb9b98 net.ipv4.tcp_fin_timeout = 60 net.ipv4.tcp_frto = 2 net.ipv4.tcp_fwmark_accept = 0 @@ -1833,7 +1833,7 @@ net.mptcp.stale_loss_cnt = 4 net.netfilter.nf_conntrack_acct = 0 net.netfilter.nf_conntrack_buckets = 262144 net.netfilter.nf_conntrack_checksum = 1 -net.netfilter.nf_conntrack_count = 142 +net.netfilter.nf_conntrack_count = 180 net.netfilter.nf_conntrack_dccp_loose = 1 net.netfilter.nf_conntrack_dccp_timeout_closereq = 64 net.netfilter.nf_conntrack_dccp_timeout_closing = 64 @@ -2056,8 +2056,8 @@ System Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0002-5043-5003-7022-3599-90 - UUID: 173dc122-f40d-b641-8554-fde4f9be30af + Serial Number: 0000-0003-9597-5827-1112-5637-31 + UUID: 2ae3f336-14fa-134c-a28b-baa567ac73c9 Wake-up Type: Power Switch Handle 0x0002, DMI type 2, 8 bytes @@ -2065,7 +2065,7 @@ Base Board Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0009-6075-8306-4972-4724-95 + Serial Number: 0000-0011-7126-6047-5478-8320-73 Handle 0x0003, DMI type 3, 17 bytes Chassis Information @@ -2073,7 +2073,7 @@ Chassis Information Type: Desktop Lock: Not Present Version: 7.0 - Serial Number: 4916-1165-8411-2326-8427-4377-07 + Serial Number: 6278-9939-8908-6076-3747-1423-67 Asset Tag: 7783-7084-3265-9085-8269-3286-77 Boot-up State: Safe Power Supply State: Safe diff --git a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/system_info.txt b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/system_info.txt index 2e3c248ae..a6eef1228 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/system_info.txt +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/system_info.txt @@ -2,10 +2,10 @@ Platform Details ------------------------------------------------------------ 1. uname -a -Linux fv-az1910-389 6.8.0-1020-azure #23-Ubuntu SMP Mon Dec 9 16:58:58 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux +Linux fv-az1912-295 6.8.0-1020-azure #23-Ubuntu SMP Mon Dec 9 16:58:58 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux ------------------------------------------------------------ 2. w - 15:25:31 up 5 min, 0 user, load average: 1.23, 0.80, 0.37 + 17:04:11 up 8 min, 0 user, load average: 1.78, 0.93, 0.40 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -45,10 +45,10 @@ systemd-+-ModemManager---3*[{ModemManager}] |-php-fpm8.3---2*[php-fpm8.3] |-polkitd---3*[{polkitd}] |-provisioner-+-Runner.Listener-+-Runner.Worker-+-bash---mlcr---sh---bash---pstree - | | | `-18*[{Runner.Worker}] - | | `-16*[{Runner.Listener}] + | | | `-17*[{Runner.Worker}] + | | `-14*[{Runner.Listener}] | |-provjobd---9*[{provjobd}] - | `-13*[{provisioner}] + | `-14*[{provisioner}] |-python3---python3---4*[{python3}] |-rsyslogd---3*[{rsyslogd}] |-systemd---(sd-pam) @@ -67,7 +67,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.424 +cpu MHz : 2590.804 cache size : 512 KB physical id : 0 siblings : 4 @@ -81,7 +81,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -95,7 +95,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 3240.293 +cpu MHz : 2603.693 cache size : 512 KB physical id : 0 siblings : 4 @@ -109,7 +109,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -123,7 +123,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.424 +cpu MHz : 3243.606 cache size : 512 KB physical id : 0 siblings : 4 @@ -137,7 +137,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -151,7 +151,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2613.603 +cpu MHz : 2445.432 cache size : 512 KB physical id : 0 siblings : 4 @@ -165,7 +165,7 @@ cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm bugs : sysret_ss_attrs null_seg spectre_v1 spectre_v2 spec_store_bypass srso -bogomips : 4890.84 +bogomips : 4890.86 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -188,7 +188,7 @@ Thread(s) per core: 2 Core(s) per socket: 2 Socket(s): 1 Stepping: 1 -BogoMIPS: 4890.84 +BogoMIPS: 4890.86 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm Virtualization: AMD-V Hypervisor vendor: Microsoft @@ -218,53 +218,53 @@ Vulnerability Tsx async abort: Not affected available: 1 nodes (0) node 0 cpus: 0 1 2 3 node 0 size: 15990 MB -node 0 free: 5420 MB +node 0 free: 5449 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo MemTotal: 16373796 kB -MemFree: 5550976 kB -MemAvailable: 15339044 kB -Buffers: 189092 kB -Cached: 9448652 kB +MemFree: 5580112 kB +MemAvailable: 15368736 kB +Buffers: 189928 kB +Cached: 9448192 kB SwapCached: 0 kB -Active: 1241740 kB -Inactive: 8694660 kB -Active(anon): 379116 kB +Active: 1240264 kB +Inactive: 8696044 kB +Active(anon): 378208 kB Inactive(anon): 0 kB -Active(file): 862624 kB -Inactive(file): 8694660 kB -Unevictable: 46772 kB -Mlocked: 43700 kB +Active(file): 862056 kB +Inactive(file): 8696044 kB +Unevictable: 46904 kB +Mlocked: 43832 kB SwapTotal: 4194300 kB SwapFree: 4194300 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 1196 kB +Dirty: 1204 kB Writeback: 0 kB -AnonPages: 343120 kB -Mapped: 342688 kB -Shmem: 71708 kB -KReclaimable: 576696 kB -Slab: 687676 kB -SReclaimable: 576696 kB -SUnreclaim: 110980 kB -KernelStack: 4004 kB -PageTables: 6320 kB +AnonPages: 343220 kB +Mapped: 342524 kB +Shmem: 71268 kB +KReclaimable: 576436 kB +Slab: 687612 kB +SReclaimable: 576436 kB +SUnreclaim: 111176 kB +KernelStack: 3924 kB +PageTables: 6200 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 12381196 kB -Committed_AS: 2206264 kB +Committed_AS: 2178128 kB VmallocTotal: 34359738367 kB -VmallocUsed: 35088 kB +VmallocUsed: 35024 kB VmallocChunk: 0 kB Percpu: 2208 kB HardwareCorrupted: 0 kB -AnonHugePages: 159744 kB +AnonHugePages: 174080 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB FileHugePages: 0 kB @@ -276,12 +276,12 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 112576 kB -DirectMap2M: 4081664 kB +DirectMap4k: 116672 kB +DirectMap2M: 4077568 kB DirectMap1G: 14680064 kB ------------------------------------------------------------ 10. who -r - run-level 5 2025-02-02 15:19 + run-level 5 2025-02-02 16:56 ------------------------------------------------------------ 11. Systemd service manager version systemd 255 (255.4-1ubuntu8.4) @@ -732,7 +732,7 @@ xfs_scrub_all.timer disabled enabled BOOT_IMAGE=/vmlinuz-6.8.0-1020-azure root=PARTUUID=8be7931c-8315-4344-95d4-bcbd379998fb ro console=tty1 console=ttyS0 earlyprintk=ttyS0 nvme_core.io_timeout=240 panic=-1 ------------------------------------------------------------ 14. cpupower frequency-info -analyzing CPU 0: +analyzing CPU 3: no or unknown cpufreq driver is active on this CPU CPUs which run at the same hardware frequency: Not Available CPUs which need to have their frequency coordinated by software: Not Available @@ -808,16 +808,16 @@ fs.binfmt_misc.llvm-16-runtime/binfmt = flags: fs.binfmt_misc.llvm-16-runtime/binfmt = offset 0 fs.binfmt_misc.llvm-16-runtime/binfmt = magic 4243 fs.binfmt_misc.status = enabled -fs.dentry-state = 250325 242896 45 0 14858 0 +fs.dentry-state = 250263 242820 45 0 14846 0 fs.dir-notify-enable = 1 fs.epoll.max_user_watches = 3643703 fs.fanotify.max_queued_events = 16384 fs.fanotify.max_user_groups = 128 fs.fanotify.max_user_marks = 132601 fs.file-max = 9223372036854775807 -fs.file-nr = 1664 0 9223372036854775807 -fs.inode-nr = 235444 568 -fs.inode-state = 235444 568 0 0 0 0 0 +fs.file-nr = 1696 0 9223372036854775807 +fs.inode-nr = 235370 568 +fs.inode-state = 235370 568 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 1280 fs.inotify.max_user_watches = 655360 @@ -876,7 +876,7 @@ kernel.ftrace_dump_on_oops = 0 kernel.ftrace_enabled = 1 kernel.hardlockup_all_cpu_backtrace = 0 kernel.hardlockup_panic = 0 -kernel.hostname = fv-az1910-389 +kernel.hostname = fv-az1912-295 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -909,7 +909,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 0 -kernel.ns_last_pid = 8152 +kernel.ns_last_pid = 8199 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -942,11 +942,11 @@ kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 kernel.pty.nr = 0 kernel.pty.reserve = 1024 -kernel.random.boot_id = 1811300d-8dd2-4372-90d7-08d38244ab42 +kernel.random.boot_id = 5611592d-e697-4a12-a5e7-5bb8a2ecf70a kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 015d4ab6-ae49-4718-8f4a-c114f3ced9be +kernel.random.uuid = 66b5142b-9335-4f26-a732-d43fe963387b kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 @@ -1359,7 +1359,7 @@ net.ipv4.tcp_ehash_entries = 131072 net.ipv4.tcp_fack = 0 net.ipv4.tcp_fastopen = 1 net.ipv4.tcp_fastopen_blackhole_timeout_sec = 0 -net.ipv4.tcp_fastopen_key = 45866348-2e12b44c-6b6d4ac6-4ed67cac +net.ipv4.tcp_fastopen_key = aec79447-2fe4f500-6ebbdc5c-84bb9b98 net.ipv4.tcp_fin_timeout = 60 net.ipv4.tcp_frto = 2 net.ipv4.tcp_fwmark_accept = 0 @@ -1833,7 +1833,7 @@ net.mptcp.stale_loss_cnt = 4 net.netfilter.nf_conntrack_acct = 0 net.netfilter.nf_conntrack_buckets = 262144 net.netfilter.nf_conntrack_checksum = 1 -net.netfilter.nf_conntrack_count = 142 +net.netfilter.nf_conntrack_count = 180 net.netfilter.nf_conntrack_dccp_loose = 1 net.netfilter.nf_conntrack_dccp_timeout_closereq = 64 net.netfilter.nf_conntrack_dccp_timeout_closing = 64 @@ -2056,8 +2056,8 @@ System Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0002-5043-5003-7022-3599-90 - UUID: 173dc122-f40d-b641-8554-fde4f9be30af + Serial Number: 0000-0003-9597-5827-1112-5637-31 + UUID: 2ae3f336-14fa-134c-a28b-baa567ac73c9 Wake-up Type: Power Switch Handle 0x0002, DMI type 2, 8 bytes @@ -2065,7 +2065,7 @@ Base Board Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0009-6075-8306-4972-4724-95 + Serial Number: 0000-0011-7126-6047-5478-8320-73 Handle 0x0003, DMI type 3, 17 bytes Chassis Information @@ -2073,7 +2073,7 @@ Chassis Information Type: Desktop Lock: Not Present Version: 7.0 - Serial Number: 4916-1165-8411-2326-8427-4377-07 + Serial Number: 6278-9939-8908-6076-3747-1423-67 Asset Tag: 7783-7084-3265-9085-8269-3286-77 Boot-up State: Safe Power Supply State: Safe diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/accuracy.txt b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/accuracy.txt index c82b07f41..6aa4cd005 100644 --- a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/accuracy.txt +++ b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/accuracy.txt @@ -1,2 +1,2 @@ -accuracy=75.400%, good=377, total=500 -hash=eafc290dd42dcb1a975b795cb306908b46c810cd5461dd29c2ad46733fc0103e +accuracy=75.600%, good=378, total=500 +hash=05a0f1a3b12b8183c7c94da0a253bf869d4d2bf76c3fa088d387f1aab062b549 diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_accuracy.json b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_accuracy.json index 7a06d8c7a..77bd6ef45 100644 --- a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_accuracy.json +++ b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_accuracy.json @@ -1,8 +1,8 @@ [ -{ "seq_id" : 1, "qsl_idx" : 224, "data" : "41" }, { "seq_id" : 3, "qsl_idx" : 154, "data" : "03" }, -{ "seq_id" : 0, "qsl_idx" : 465, "data" : "11" }, +{ "seq_id" : 1, "qsl_idx" : 224, "data" : "41" }, { "seq_id" : 2, "qsl_idx" : 289, "data" : "03" }, +{ "seq_id" : 0, "qsl_idx" : 465, "data" : "11" }, { "seq_id" : 5, "qsl_idx" : 112, "data" : "19" }, { "seq_id" : 6, "qsl_idx" : 240, "data" : "02" }, { "seq_id" : 4, "qsl_idx" : 47, "data" : "03" }, @@ -15,26 +15,26 @@ { "seq_id" : 13, "qsl_idx" : 6, "data" : "03" }, { "seq_id" : 14, "qsl_idx" : 368, "data" : "0B" }, { "seq_id" : 15, "qsl_idx" : 337, "data" : "03" }, -{ "seq_id" : 17, "qsl_idx" : 200, "data" : "08" }, { "seq_id" : 16, "qsl_idx" : 4, "data" : "03" }, +{ "seq_id" : 17, "qsl_idx" : 200, "data" : "08" }, { "seq_id" : 18, "qsl_idx" : 281, "data" : "0A" }, { "seq_id" : 19, "qsl_idx" : 194, "data" : "11" }, -{ "seq_id" : 21, "qsl_idx" : 401, "data" : "0D" }, { "seq_id" : 20, "qsl_idx" : 213, "data" : "08" }, +{ "seq_id" : 21, "qsl_idx" : 401, "data" : "0D" }, { "seq_id" : 22, "qsl_idx" : 385, "data" : "03" }, { "seq_id" : 23, "qsl_idx" : 132, "data" : "0B" }, { "seq_id" : 24, "qsl_idx" : 387, "data" : "03" }, { "seq_id" : 25, "qsl_idx" : 441, "data" : "07" }, -{ "seq_id" : 26, "qsl_idx" : 489, "data" : "11" }, { "seq_id" : 27, "qsl_idx" : 256, "data" : "03" }, -{ "seq_id" : 29, "qsl_idx" : 471, "data" : "0E" }, +{ "seq_id" : 26, "qsl_idx" : 489, "data" : "11" }, { "seq_id" : 28, "qsl_idx" : 104, "data" : "08" }, +{ "seq_id" : 29, "qsl_idx" : 471, "data" : "0E" }, { "seq_id" : 30, "qsl_idx" : 432, "data" : "11" }, { "seq_id" : 31, "qsl_idx" : 333, "data" : "02" }, { "seq_id" : 32, "qsl_idx" : 399, "data" : "08" }, { "seq_id" : 33, "qsl_idx" : 464, "data" : "03" }, -{ "seq_id" : 35, "qsl_idx" : 152, "data" : "11" }, { "seq_id" : 34, "qsl_idx" : 187, "data" : "11" }, +{ "seq_id" : 35, "qsl_idx" : 152, "data" : "11" }, { "seq_id" : 36, "qsl_idx" : 421, "data" : "15" }, { "seq_id" : 37, "qsl_idx" : 83, "data" : "0B" }, { "seq_id" : 38, "qsl_idx" : 397, "data" : "03" }, @@ -47,31 +47,31 @@ { "seq_id" : 45, "qsl_idx" : 163, "data" : "09" }, { "seq_id" : 46, "qsl_idx" : 262, "data" : "03" }, { "seq_id" : 47, "qsl_idx" : 261, "data" : "15" }, -{ "seq_id" : 48, "qsl_idx" : 321, "data" : "11" }, { "seq_id" : 49, "qsl_idx" : 206, "data" : "14" }, +{ "seq_id" : 48, "qsl_idx" : 321, "data" : "11" }, { "seq_id" : 50, "qsl_idx" : 453, "data" : "0B" }, -{ "seq_id" : 52, "qsl_idx" : 320, "data" : "15" }, { "seq_id" : 51, "qsl_idx" : 484, "data" : "03" }, +{ "seq_id" : 52, "qsl_idx" : 320, "data" : "15" }, { "seq_id" : 53, "qsl_idx" : 156, "data" : "12" }, { "seq_id" : 54, "qsl_idx" : 456, "data" : "01" }, -{ "seq_id" : 55, "qsl_idx" : 325, "data" : "03" }, { "seq_id" : 56, "qsl_idx" : 169, "data" : "11" }, -{ "seq_id" : 57, "qsl_idx" : 355, "data" : "03" }, { "seq_id" : 58, "qsl_idx" : 56, "data" : "01" }, +{ "seq_id" : 55, "qsl_idx" : 325, "data" : "03" }, +{ "seq_id" : 57, "qsl_idx" : 355, "data" : "03" }, { "seq_id" : 59, "qsl_idx" : 311, "data" : "02" }, { "seq_id" : 60, "qsl_idx" : 359, "data" : "03" }, -{ "seq_id" : 61, "qsl_idx" : 9, "data" : "11" }, { "seq_id" : 62, "qsl_idx" : 62, "data" : "12" }, +{ "seq_id" : 61, "qsl_idx" : 9, "data" : "11" }, +{ "seq_id" : 66, "qsl_idx" : 138, "data" : "0A" }, { "seq_id" : 63, "qsl_idx" : 447, "data" : "11" }, { "seq_id" : 64, "qsl_idx" : 478, "data" : "16" }, -{ "seq_id" : 66, "qsl_idx" : 138, "data" : "0A" }, { "seq_id" : 65, "qsl_idx" : 466, "data" : "12" }, { "seq_id" : 67, "qsl_idx" : 291, "data" : "12" }, { "seq_id" : 68, "qsl_idx" : 280, "data" : "0E" }, -{ "seq_id" : 69, "qsl_idx" : 116, "data" : "11" }, { "seq_id" : 70, "qsl_idx" : 253, "data" : "0C" }, +{ "seq_id" : 69, "qsl_idx" : 116, "data" : "11" }, { "seq_id" : 72, "qsl_idx" : 164, "data" : "0C" }, -{ "seq_id" : 71, "qsl_idx" : 161, "data" : "0C" }, +{ "seq_id" : 71, "qsl_idx" : 161, "data" : "08" }, { "seq_id" : 73, "qsl_idx" : 361, "data" : "0D" }, { "seq_id" : 74, "qsl_idx" : 72, "data" : "11" }, { "seq_id" : 75, "qsl_idx" : 111, "data" : "01" }, @@ -91,54 +91,54 @@ { "seq_id" : 425, "qsl_idx" : 229, "data" : "0C" }, { "seq_id" : 426, "qsl_idx" : 214, "data" : "12" }, { "seq_id" : 427, "qsl_idx" : 424, "data" : "15" }, -{ "seq_id" : 428, "qsl_idx" : 216, "data" : "32" }, -{ "seq_id" : 430, "qsl_idx" : 412, "data" : "0E" }, -{ "seq_id" : 431, "qsl_idx" : 237, "data" : "08" }, +{ "seq_id" : 428, "qsl_idx" : 216, "data" : "0E" }, { "seq_id" : 429, "qsl_idx" : 344, "data" : "11" }, +{ "seq_id" : 431, "qsl_idx" : 237, "data" : "11" }, +{ "seq_id" : 430, "qsl_idx" : 412, "data" : "0E" }, { "seq_id" : 432, "qsl_idx" : 476, "data" : "02" }, -{ "seq_id" : 435, "qsl_idx" : 11, "data" : "0D" }, -{ "seq_id" : 434, "qsl_idx" : 115, "data" : "03" }, { "seq_id" : 433, "qsl_idx" : 18, "data" : "12" }, -{ "seq_id" : 439, "qsl_idx" : 184, "data" : "0A" }, +{ "seq_id" : 434, "qsl_idx" : 115, "data" : "03" }, +{ "seq_id" : 435, "qsl_idx" : 11, "data" : "0D" }, { "seq_id" : 436, "qsl_idx" : 339, "data" : "07" }, +{ "seq_id" : 439, "qsl_idx" : 184, "data" : "0A" }, { "seq_id" : 438, "qsl_idx" : 388, "data" : "03" }, { "seq_id" : 437, "qsl_idx" : 323, "data" : "11" }, { "seq_id" : 441, "qsl_idx" : 147, "data" : "11" }, { "seq_id" : 440, 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"qsl_idx" : 246, "data" : "13" }, +{ "seq_id" : 455, "qsl_idx" : 120, "data" : "0E" }, { "seq_id" : 458, "qsl_idx" : 417, "data" : "32" }, -{ "seq_id" : 459, "qsl_idx" : 310, "data" : "03" }, +{ "seq_id" : 457, "qsl_idx" : 246, "data" : "13" }, { "seq_id" : 460, "qsl_idx" : 360, "data" : "02" }, +{ "seq_id" : 459, "qsl_idx" : 310, "data" : "03" }, { "seq_id" : 461, "qsl_idx" : 205, "data" : "10" }, -{ "seq_id" : 462, "qsl_idx" : 454, "data" : "12" }, { "seq_id" : 463, "qsl_idx" : 28, "data" : "0E" }, { "seq_id" : 464, "qsl_idx" : 259, "data" : "0C" }, +{ "seq_id" : 462, "qsl_idx" : 454, "data" : "12" }, { "seq_id" : 465, "qsl_idx" : 0, "data" : "11" }, -{ "seq_id" : 466, "qsl_idx" : 366, "data" : "20" }, { "seq_id" : 467, "qsl_idx" : 10, "data" : "0C" }, +{ "seq_id" : 466, "qsl_idx" : 366, "data" : "20" }, { "seq_id" : 468, "qsl_idx" : 218, "data" : "0E" }, { "seq_id" : 469, "qsl_idx" : 78, "data" : "11" }, -{ "seq_id" : 470, "qsl_idx" : 290, "data" : "11" }, { "seq_id" : 471, "qsl_idx" : 431, "data" : "11" }, +{ "seq_id" : 470, "qsl_idx" : 290, "data" : "11" }, { "seq_id" : 472, "qsl_idx" : 94, "data" : "16" }, { "seq_id" : 473, "qsl_idx" : 110, "data" : "16" }, -{ "seq_id" : 474, "qsl_idx" : 148, "data" : "02" }, { "seq_id" : 475, "qsl_idx" : 50, "data" : "09" }, +{ "seq_id" : 474, "qsl_idx" : 148, "data" : "02" }, { "seq_id" : 476, "qsl_idx" : 55, "data" : "0C" }, { "seq_id" : 477, "qsl_idx" : 65, "data" : "11" }, { "seq_id" : 478, "qsl_idx" : 343, "data" : "15" }, @@ -155,12 +155,12 @@ { "seq_id" : 488, "qsl_idx" : 315, "data" : "02" }, { "seq_id" : 490, "qsl_idx" : 96, "data" : "03" }, { "seq_id" : 491, "qsl_idx" : 45, "data" : "11" }, -{ "seq_id" : 492, "qsl_idx" : 483, "data" : "03" }, { "seq_id" : 493, "qsl_idx" : 90, "data" : "11" }, +{ "seq_id" : 492, "qsl_idx" : 483, "data" : "03" }, { "seq_id" : 494, "qsl_idx" : 419, "data" : "03" }, { "seq_id" : 495, "qsl_idx" : 153, "data" : "11" }, -{ "seq_id" : 497, "qsl_idx" : 331, "data" : "03" }, { "seq_id" : 496, "qsl_idx" : 59, "data" : "03" }, -{ "seq_id" : 498, "qsl_idx" : 209, "data" : "03" }, -{ "seq_id" : 499, "qsl_idx" : 19, "data" : "02" } +{ "seq_id" : 497, "qsl_idx" : 331, "data" : "03" }, +{ "seq_id" : 499, "qsl_idx" : 19, "data" : "02" }, +{ "seq_id" : 498, "qsl_idx" : 209, "data" : "03" } ] diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_detail.txt b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_detail.txt index c82979b27..8ab196c04 100644 --- a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_detail.txt +++ b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/accuracy/mlperf_log_detail.txt @@ -1,70 +1,70 @@ -:::MLLOG {"key": "loadgen_version", "value": "5.0.15 @ aea55edb04", "time_ms": 0.004238, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 9557, "tid": 9557}} -:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-02-02T15:23:27.446619", "time_ms": 0.004238, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 9557, "tid": 9557}} -:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-02-02T15:23:27.446655", "time_ms": 0.004238, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 9557, "tid": 9557}} -:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-02-01T00:10:56Z", "time_ms": 0.004238, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 9557, "tid": 9557}} -:::MLLOG {"key": "loadgen_git_log_message", "value": "aea55edb04b10928b75d1cc318d6bed2f2e4a629 Create benchmark checklist for pointpainting (#2068)\nd67b62657a63c7d64bacf92d5ec3328c03ef0d90 Increment version to 5.0.15\nd7bbf881ca0b69c71cbbee18fa26cf13c7a67be8 Update results.cc | Add another significant digit to percentile latency display (#2066)\n10d123c982be145de8e818309440486ee1706439 Fix mlperf.conf link for equal issue mode (#2069)\n9b32a74c53fcfa6a7f6b529dec6bba534e10cc29 Changes for final report generation - PointPainting (#2063)", "time_ms": 0.004238, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 9557, "tid": 9557}} -:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.004238, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 9557, "tid": 9557}} -:::MLLOG {"key": "loadgen_file_sha1", "value": 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+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 48848.318843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 9602, "tid": 9602}} +:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 48848.318843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 9602, "tid": 9602}} +:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 48848.318843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 9602, "tid": 9602}} +:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 48848.318843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 9602, "tid": 9602}} +:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 48848.318843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 9602, "tid": 9602}} +:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 48848.318843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 9602, "tid": 9602}} +:::MLLOG {"key": "power_begin", "value": "02-02-2025 17:04:36.170", "time_ms": 48848.319936, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 562, "pid": 9602, "tid": 9602}} +:::MLLOG {"key": "power_end", "value": "02-02-2025 17:05:25.016", "time_ms": 48848.319936, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 564, "pid": 9602, "tid": 9602}} diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_detail.txt b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_detail.txt index 051a72b35..8bb1bc70d 100644 --- a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_detail.txt +++ b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_detail.txt @@ -1,87 +1,87 @@ -:::MLLOG {"key": "loadgen_version", "value": "5.0.15 @ aea55edb04", "time_ms": 0.004278, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-02-02T15:23:27.446619", "time_ms": 0.004278, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-02-02T15:23:27.446655", "time_ms": 0.004278, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-02-01T00:10:56Z", "time_ms": 0.004278, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "loadgen_git_log_message", "value": "aea55edb04b10928b75d1cc318d6bed2f2e4a629 Create benchmark checklist for pointpainting (#2068)\nd67b62657a63c7d64bacf92d5ec3328c03ef0d90 Increment version to 5.0.15\nd7bbf881ca0b69c71cbbee18fa26cf13c7a67be8 Update results.cc | Add another significant digit to percentile latency display (#2066)\n10d123c982be145de8e818309440486ee1706439 Fix mlperf.conf link for equal issue mode (#2069)\n9b32a74c53fcfa6a7f6b529dec6bba534e10cc29 Changes for final report generation - PointPainting (#2063)", "time_ms": 0.004278, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.004278, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "loadgen_file_sha1", "value": 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"requested_sample_concatenate_permutation", "value": false, "time_ms": 0.024246, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.024546, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "effective_test_mode", "value": "PerformanceOnly", "time_ms": 0.024546, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "effective_samples_per_query", "value": 500, "time_ms": 0.024546, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": 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"is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.024546, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "effective_max_query_count", "value": 500, "time_ms": 0.024546, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "effective_min_sample_count", "value": 500, "time_ms": 0.024546, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "effective_qsl_rng_seed", "value": 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-:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 47728.760217, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 49466.046318, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 49466.046318, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 7573, "tid": 7573}} -:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 49466.046318, 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[465,224,289,154,47,112,240,386,159,379,33,51,73,6,368,337,4,200,281,194,213,401,385,132,387,441,489,256,104,471,432,333,399,464,187,152,421,83,397,142,477,125,219,394,496,163,262,261,321,206,453,484,320,156,456,325,169,355,56,311,359,9,62,447,478,466,138,291,280,116,253,161,164,361,72,111,268,346,254,283,255,91,178,329,133,433,276,183,199,491,369,443,21,174,307,127,274,347,293,405,485,336,13,177,356,488,429,286,452,243,425,345,8,24,99,308,364,247,340,423,135,410,352,408,170,269,285,233,49,459,114,149,296,390,267,416,407,435,272,475,136,86,186,43,160,119,64,445,146,140,37,463,428,470,75,490,330,5,473,139,2,180,203,252,451,377,374,226,239,392,279,128,202,98,297,197,467,479,292,472,93,481,250,362,87,46,208,191,231,3,101,144,376,430,436,20,312,338,324,257,182,39,271,367,378,277,217,303,462,487,458,12,342,222,25,300,35,14,167,317,270,309,192,76,118,306,328,418,332,375,284,389,185,117,155,151,27,130,109,157,381,126,351,422,414,173,273,204,166,63,449,228,145,122,40,493,263,88,442,70,225,196,38,299,195,66,210,221,30,382,341,134,400,52,29,327,349,44,357,74,103,141,305,16,353,113,446,450,371,295,42,207,241,137,234,143,150,95,460,212,129,304,264,396,100,498,301,71,335,188,107,282,53,48,85,393,365,102,427,370,461,36,363,236,318,245,251,444,17,288,384,7,380,437,294,26,348,326,383,448,314,468,495,190,398,440,81,358,486,227,92,298,434,162,260,175,469,499,41,439,403,23,455,165,189,492,193,372,97,287,220,230,482,275,172,84,34,1,265,334,69,171,124,354,474,179,123,242,79,60,391,232,409,57,15,176,395,198,168,106,415,313,413,350,249,402,58,54,158,406,278,223,426,201,404,316,411,131,22,32,497,266,181,31,319,229,214,424,216,344,412,237,476,18,115,11,339,323,388,184,67,147,68,105,211,420,238,108,61,235,322,457,77,248,302,120,215,246,417,310,360,205,454,28,259,0,366,10,218,78,290,431,94,110,148,50,55,65,343,258,438,121,82,373,89,244,494,80,315,480,96,45,483,90,419,153,59,331,209,19], "time_ms": 0.053540, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 608, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.098174, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "generated_samples_per_query", "value": 500, "time_ms": 0.098174, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "generated_query_duration", "value": 1000000000, "time_ms": 0.098174, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 429, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 47360.043942, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 49092.960032, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 49092.960032, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 49092.960032, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 49092.960032, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 49092.960032, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 49092.960032, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "power_begin", "value": "02-02-2025 17:03:18.871", "time_ms": 49092.961094, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 562, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "power_end", "value": "02-02-2025 17:04:07.960", "time_ms": 49092.961094, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 564, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 674, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 679, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 680, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 681, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "early_stopping_result", "value": "", "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 700, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 712, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_samples_per_second", "value": 10.1857, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 768, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_min_latency_ns", "value": 480783893, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 774, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_max_latency_ns", "value": 49088315378, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 775, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_mean_latency_ns", "value": 24838509877, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 776, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 24833305430, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 44454083836, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 46909492568, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 47855067564, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 48984382085, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7634, "tid": 7634}} +:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 49088315378, "time_ms": 49093.032918, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7634, "tid": 7634}} diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_summary.txt index 1077b420a..4d07fe9ac 100644 --- a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_summary.txt +++ b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/performance/run_1/mlperf_log_summary.txt @@ -4,7 +4,7 @@ MLPerf Results Summary SUT name : PySUT Scenario : Offline Mode : PerformanceOnly -Samples per second: 10.1086 +Samples per second: 10.1857 Result is : VALID Min duration satisfied : Yes Min queries satisfied : Yes @@ -13,15 +13,15 @@ Result is : VALID ================================================ Additional Stats ================================================ -Min latency (ns) : 472283171 -Max latency (ns) : 49462669043 -Mean latency (ns) : 25060816595 -50.00 percentile latency (ns) : 25043475651 -90.00 percentile latency (ns) : 44856105267 -95.00 percentile latency (ns) : 47329885433 -97.00 percentile latency (ns) : 48257521818 -99.00 percentile latency (ns) : 49316365296 -99.90 percentile latency (ns) : 49462669043 +Min latency (ns) : 480783893 +Max latency (ns) : 49088315378 +Mean latency (ns) : 24838509877 +50.00 percentile latency (ns) : 24833305430 +90.00 percentile latency (ns) : 44454083836 +95.00 percentile latency (ns) : 46909492568 +97.00 percentile latency (ns) : 47855067564 +99.00 percentile latency (ns) : 48984382085 +99.90 percentile latency (ns) : 49088315378 ================================================ Test Parameters Used