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 f20583767..8bff60984 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 | 75.2 | 9.95 | - | \ No newline at end of file +| rgat | offline | 75.2 | 10.199 | - | \ 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 3d66eb466..1cd170a17 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 @@ -16,16 +16,16 @@ pip install -U mlcflow mlc rm cache -f -mlc pull repo GATEOverflow@mlperf-automations --checkout=d89196b1a770d1593191bcc0901de0d86b4e8d6b +mlc pull repo anandhu-eng@mlperf-automations --checkout=366d64ecb1e59c584b00786c0a77d68550b7d310 ``` *Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf, - you should simply reload GATEOverflow@mlperf-automations without checkout and clean MLC cache as follows:* + you should simply reload anandhu-eng@mlperf-automations without checkout and clean MLC cache as follows:* ```bash -mlc rm repo GATEOverflow@mlperf-automations -mlc pull repo GATEOverflow@mlperf-automations +mlc rm repo anandhu-eng@mlperf-automations +mlc pull repo anandhu-eng@mlperf-automations mlc rm cache -f ``` @@ -40,4 +40,4 @@ Model Precision: fp32 `acc`: `75.2`, Required accuracy for closed division `>= 0.72131` ### Performance Results -`Samples per second`: `9.95025` +`Samples per second`: `10.1992` 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 423bbff90..f74e15c22 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_6e83289d', 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_8bd222eb/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_c25f6255/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/0e442c424de947aebca1a9cdfaaa3836.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_604a47e2/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_43f808e4', 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_ef0ec58e/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_79babd4e/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/1dc82411c6ea434d990d3edfeb3816a4.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_2fd30ee0/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_604a47e2/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_2fd30ee0/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_604a47e2/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_2fd30ee0/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_604a47e2/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_2fd30ee0/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 6b286f76d..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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_cpu,_fp32_) --> get,loadgen - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_offline,_pytorch,_cpu,_fp32_) --> get,mlcommons,inference,src,_branch.dev - app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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_(_rgat,_offline,_pytorch,_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 879f98699..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 128daff06..0a5a8e1dc 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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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-cdc1eafcfdc2f02748a3c62c1238ac2269ba06c8", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_offline,_pytorch,_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-cdc1eafcfdc2f02748a3c62c1238ac2269ba06c8", - "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 ( rgat,_offline,_pytorch,_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 b6d64d869..53d5ee279 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-az1319-932" + "MLC_HOST_SYSTEM_NAME": "fv-az1779-710" } \ 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 32af03e04..7e6981671 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_6e83289d', 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_8bd222eb/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_c25f6255/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/GATEOverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/f8e31d0836dd4199abd66c91adf0d8fa.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_604a47e2/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_43f808e4', 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_ef0ec58e/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_79babd4e/RGAT/RGAT.pt', dtype='fp32', device='cpu', user_conf='/home/runner/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/108a9ae2f84f42d5b12a130fe56d752c.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_2fd30ee0/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_604a47e2/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_2fd30ee0/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_604a47e2/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_2fd30ee0/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_604a47e2/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_2fd30ee0/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/pip_freeze.json b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/pip_freeze.json index c6dbd07f1..297f1c0f4 100644 --- a/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/pip_freeze.json +++ b/open/MLCommons/measurements/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/rgat/offline/pip_freeze.json @@ -5,7 +5,7 @@ "aiosignal": "1.3.2", "annotated-types": "0.7.0", "attrs": "25.1.0", - "certifi": "2024.12.14", + "certifi": "2025.1.31", "charset-normalizer": "3.4.1", "colorama": "0.4.6", "dgl": "2.4.0", @@ -32,7 +32,7 @@ "pydantic_core": "2.27.2", "pyparsing": "3.2.1", "python-dateutil": "2.9.0.post0", - "pytz": "2024.2", + "pytz": "2025.1", "PyYAML": "6.0.2", "requests": "2.32.3", "scipy": "1.15.1", 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 b07d4aa7d..f9068d022 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-az1319-932 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-az1779-710 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 - 20:36:46 up 5 min, 0 user, load average: 1.80, 0.83, 0.34 + 07:03:30 up 7 min, 0 user, load average: 3.05, 1.33, 0.59 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -38,8 +38,6 @@ systemd-+-ModemManager---3*[{ModemManager}] |-cron |-dbus-daemon |-dockerd---9*[{dockerd}] - |-fwupd---6*[{fwupd}] - |-gpg-agent |-haveged |-hv_kvp_daemon |-multipathd---6*[{multipathd}] @@ -47,10 +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 - | | | `-17*[{Runner.Worker}] - | | `-15*[{Runner.Listener}] + | | | `-16*[{Runner.Worker}] + | | `-14*[{Runner.Listener}] | |-provjobd---9*[{provjobd}] - | `-15*[{provisioner}] + | `-14*[{provisioner}] |-python3---python3---4*[{python3}] |-rsyslogd---3*[{rsyslogd}] |-systemd---(sd-pam) @@ -59,7 +57,7 @@ systemd-+-ModemManager---3*[{ModemManager}] |-systemd-network |-systemd-resolve |-systemd-udevd - `-udisksd---6*[{udisksd}] + `-udisksd---5*[{udisksd}] ------------------------------------------------------------ 6. /proc/cpuinfo processor : 0 @@ -69,7 +67,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 3243.926 +cpu MHz : 3242.728 cache size : 512 KB physical id : 0 siblings : 4 @@ -83,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -97,7 +95,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.430 +cpu MHz : 3158.708 cache size : 512 KB physical id : 0 siblings : 4 @@ -111,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -125,7 +123,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2633.273 +cpu MHz : 3241.473 cache size : 512 KB physical id : 0 siblings : 4 @@ -139,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -153,7 +151,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.430 +cpu MHz : 3243.506 cache size : 512 KB physical id : 0 siblings : 4 @@ -167,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -190,7 +188,7 @@ Thread(s) per core: 2 Core(s) per socket: 2 Socket(s): 1 Stepping: 1 -BogoMIPS: 4890.86 +BogoMIPS: 4890.85 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 @@ -220,53 +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: 5275 MB +node 0 free: 5453 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo -MemTotal: 16373796 kB -MemFree: 5402008 kB -MemAvailable: 15215128 kB -Buffers: 190616 kB -Cached: 9471824 kB +MemTotal: 16373792 kB +MemFree: 5584220 kB +MemAvailable: 15371688 kB +Buffers: 190172 kB +Cached: 9446392 kB SwapCached: 0 kB -Active: 1367124 kB -Inactive: 8709200 kB -Active(anon): 494332 kB +Active: 1237460 kB +Inactive: 8696544 kB +Active(anon): 377276 kB Inactive(anon): 0 kB -Active(file): 872792 kB -Inactive(file): 8709200 kB +Active(file): 860184 kB +Inactive(file): 8696544 kB Unevictable: 46772 kB Mlocked: 43700 kB SwapTotal: 4194300 kB SwapFree: 4194300 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 5000 kB +Dirty: 1216 kB Writeback: 0 kB -AnonPages: 460672 kB -Mapped: 362268 kB -Shmem: 71696 kB -KReclaimable: 577040 kB -Slab: 688896 kB -SReclaimable: 577040 kB -SUnreclaim: 111856 kB -KernelStack: 4080 kB -PageTables: 6816 kB +AnonPages: 343024 kB +Mapped: 341588 kB +Shmem: 71084 kB +KReclaimable: 576652 kB +Slab: 688148 kB +SReclaimable: 576652 kB +SUnreclaim: 111496 kB +KernelStack: 3888 kB +PageTables: 6332 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 12381196 kB -Committed_AS: 2437632 kB +Committed_AS: 2199180 kB VmallocTotal: 34359738367 kB -VmallocUsed: 35220 kB +VmallocUsed: 34992 kB VmallocChunk: 0 kB Percpu: 2208 kB HardwareCorrupted: 0 kB -AnonHugePages: 182272 kB +AnonHugePages: 163840 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB FileHugePages: 0 kB @@ -278,12 +276,12 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 106432 kB -DirectMap2M: 3039232 kB -DirectMap1G: 15728640 kB +DirectMap4k: 126912 kB +DirectMap2M: 4067328 kB +DirectMap1G: 14680064 kB ------------------------------------------------------------ 10. who -r - run-level 5 2025-01-30 20:31 + run-level 5 2025-01-31 06:56 ------------------------------------------------------------ 11. Systemd service manager version systemd 255 (255.4-1ubuntu8.4) @@ -734,7 +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 1: 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 @@ -810,16 +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 = 250883 243350 45 0 15170 0 +fs.dentry-state = 250178 242771 45 0 14820 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 = 1888 0 9223372036854775807 -fs.inode-nr = 235653 567 -fs.inode-state = 235653 567 0 0 0 0 0 +fs.file-nr = 1696 0 9223372036854775807 +fs.inode-nr = 235344 568 +fs.inode-state = 235344 568 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 1280 fs.inotify.max_user_watches = 655360 @@ -878,7 +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-az1319-932 +kernel.hostname = fv-az1779-710 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -911,7 +909,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 0 -kernel.ns_last_pid = 8192 +kernel.ns_last_pid = 8154 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -944,11 +942,11 @@ kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 kernel.pty.nr = 0 kernel.pty.reserve = 1024 -kernel.random.boot_id = 948c5e66-faaf-46d2-ac82-968612c91476 +kernel.random.boot_id = 86c3f062-784b-45c8-b3cf-09bbb280e813 kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 2f282d63-dc43-4fcc-a064-81630efdc6c4 +kernel.random.uuid = 7b8ab1e3-81e1-43cb-b2f8-5ff472b1a214 kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 @@ -1361,7 +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 = bb0dbd1a-0c12ab84-8bbb0c41-160e1d15 +net.ipv4.tcp_fastopen_key = e15f3eaa-36663d5e-4d80840b-1d5ef223 net.ipv4.tcp_fin_timeout = 60 net.ipv4.tcp_frto = 2 net.ipv4.tcp_fwmark_accept = 0 @@ -1835,7 +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 = 146 +net.netfilter.nf_conntrack_count = 120 net.netfilter.nf_conntrack_dccp_loose = 1 net.netfilter.nf_conntrack_dccp_timeout_closereq = 64 net.netfilter.nf_conntrack_dccp_timeout_closing = 64 @@ -1983,12 +1981,12 @@ LOGO=ubuntu-logo 19. Disk information NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINTS sda 8:0 0 75G 0 disk -├─sda1 8:1 0 74G 0 part / -├─sda14 8:14 0 4M 0 part -├─sda15 8:15 0 106M 0 part /boot/efi -└─sda16 259:0 0 913M 0 part /boot +└─sda1 8:1 0 75G 0 part /mnt sdb 8:16 0 75G 0 disk -└─sdb1 8:17 0 75G 0 part /mnt +├─sdb1 8:17 0 74G 0 part / +├─sdb14 8:30 0 4M 0 part +├─sdb15 8:31 0 106M 0 part /boot/efi +└─sdb16 259:0 0 913M 0 part /boot ------------------------------------------------------------ 20. /sys/devices/virtual/dmi/id bios_date @@ -2058,8 +2056,8 @@ System Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0010-3057-1209-8968-8815-21 - UUID: 8d3e058f-7c50-7149-9127-a8ebc079bd27 + Serial Number: 0000-0007-8594-0974-9864-8924-88 + UUID: 863b126d-f0cc-4848-bd14-93545148dde3 Wake-up Type: Power Switch Handle 0x0002, DMI type 2, 8 bytes @@ -2067,7 +2065,7 @@ Base Board Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0010-4595-1439-0091-2509-83 + Serial Number: 0000-0013-6246-7676-3052-8588-51 Handle 0x0003, DMI type 3, 17 bytes Chassis Information @@ -2075,7 +2073,7 @@ Chassis Information Type: Desktop Lock: Not Present Version: 7.0 - Serial Number: 3738-8520-4900-3352-5611-1282-96 + Serial Number: 5139-5942-7520-7050-8982-0898-04 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 b07d4aa7d..f9068d022 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-az1319-932 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-az1779-710 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 - 20:36:46 up 5 min, 0 user, load average: 1.80, 0.83, 0.34 + 07:03:30 up 7 min, 0 user, load average: 3.05, 1.33, 0.59 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -38,8 +38,6 @@ systemd-+-ModemManager---3*[{ModemManager}] |-cron |-dbus-daemon |-dockerd---9*[{dockerd}] - |-fwupd---6*[{fwupd}] - |-gpg-agent |-haveged |-hv_kvp_daemon |-multipathd---6*[{multipathd}] @@ -47,10 +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 - | | | `-17*[{Runner.Worker}] - | | `-15*[{Runner.Listener}] + | | | `-16*[{Runner.Worker}] + | | `-14*[{Runner.Listener}] | |-provjobd---9*[{provjobd}] - | `-15*[{provisioner}] + | `-14*[{provisioner}] |-python3---python3---4*[{python3}] |-rsyslogd---3*[{rsyslogd}] |-systemd---(sd-pam) @@ -59,7 +57,7 @@ systemd-+-ModemManager---3*[{ModemManager}] |-systemd-network |-systemd-resolve |-systemd-udevd - `-udisksd---6*[{udisksd}] + `-udisksd---5*[{udisksd}] ------------------------------------------------------------ 6. /proc/cpuinfo processor : 0 @@ -69,7 +67,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 3243.926 +cpu MHz : 3242.728 cache size : 512 KB physical id : 0 siblings : 4 @@ -83,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -97,7 +95,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.430 +cpu MHz : 3158.708 cache size : 512 KB physical id : 0 siblings : 4 @@ -111,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -125,7 +123,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2633.273 +cpu MHz : 3241.473 cache size : 512 KB physical id : 0 siblings : 4 @@ -139,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -153,7 +151,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.430 +cpu MHz : 3243.506 cache size : 512 KB physical id : 0 siblings : 4 @@ -167,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -190,7 +188,7 @@ Thread(s) per core: 2 Core(s) per socket: 2 Socket(s): 1 Stepping: 1 -BogoMIPS: 4890.86 +BogoMIPS: 4890.85 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 @@ -220,53 +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: 5275 MB +node 0 free: 5453 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo -MemTotal: 16373796 kB -MemFree: 5402008 kB -MemAvailable: 15215128 kB -Buffers: 190616 kB -Cached: 9471824 kB +MemTotal: 16373792 kB +MemFree: 5584220 kB +MemAvailable: 15371688 kB +Buffers: 190172 kB +Cached: 9446392 kB SwapCached: 0 kB -Active: 1367124 kB -Inactive: 8709200 kB -Active(anon): 494332 kB +Active: 1237460 kB +Inactive: 8696544 kB +Active(anon): 377276 kB Inactive(anon): 0 kB -Active(file): 872792 kB -Inactive(file): 8709200 kB +Active(file): 860184 kB +Inactive(file): 8696544 kB Unevictable: 46772 kB Mlocked: 43700 kB SwapTotal: 4194300 kB SwapFree: 4194300 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 5000 kB +Dirty: 1216 kB Writeback: 0 kB -AnonPages: 460672 kB -Mapped: 362268 kB -Shmem: 71696 kB -KReclaimable: 577040 kB -Slab: 688896 kB -SReclaimable: 577040 kB -SUnreclaim: 111856 kB -KernelStack: 4080 kB -PageTables: 6816 kB +AnonPages: 343024 kB +Mapped: 341588 kB +Shmem: 71084 kB +KReclaimable: 576652 kB +Slab: 688148 kB +SReclaimable: 576652 kB +SUnreclaim: 111496 kB +KernelStack: 3888 kB +PageTables: 6332 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 12381196 kB -Committed_AS: 2437632 kB +Committed_AS: 2199180 kB VmallocTotal: 34359738367 kB -VmallocUsed: 35220 kB +VmallocUsed: 34992 kB VmallocChunk: 0 kB Percpu: 2208 kB HardwareCorrupted: 0 kB -AnonHugePages: 182272 kB +AnonHugePages: 163840 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB FileHugePages: 0 kB @@ -278,12 +276,12 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 106432 kB -DirectMap2M: 3039232 kB -DirectMap1G: 15728640 kB +DirectMap4k: 126912 kB +DirectMap2M: 4067328 kB +DirectMap1G: 14680064 kB ------------------------------------------------------------ 10. who -r - run-level 5 2025-01-30 20:31 + run-level 5 2025-01-31 06:56 ------------------------------------------------------------ 11. Systemd service manager version systemd 255 (255.4-1ubuntu8.4) @@ -734,7 +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 1: 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 @@ -810,16 +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 = 250883 243350 45 0 15170 0 +fs.dentry-state = 250178 242771 45 0 14820 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 = 1888 0 9223372036854775807 -fs.inode-nr = 235653 567 -fs.inode-state = 235653 567 0 0 0 0 0 +fs.file-nr = 1696 0 9223372036854775807 +fs.inode-nr = 235344 568 +fs.inode-state = 235344 568 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 1280 fs.inotify.max_user_watches = 655360 @@ -878,7 +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-az1319-932 +kernel.hostname = fv-az1779-710 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -911,7 +909,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 0 -kernel.ns_last_pid = 8192 +kernel.ns_last_pid = 8154 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -944,11 +942,11 @@ kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 kernel.pty.nr = 0 kernel.pty.reserve = 1024 -kernel.random.boot_id = 948c5e66-faaf-46d2-ac82-968612c91476 +kernel.random.boot_id = 86c3f062-784b-45c8-b3cf-09bbb280e813 kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 2f282d63-dc43-4fcc-a064-81630efdc6c4 +kernel.random.uuid = 7b8ab1e3-81e1-43cb-b2f8-5ff472b1a214 kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 @@ -1361,7 +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 = bb0dbd1a-0c12ab84-8bbb0c41-160e1d15 +net.ipv4.tcp_fastopen_key = e15f3eaa-36663d5e-4d80840b-1d5ef223 net.ipv4.tcp_fin_timeout = 60 net.ipv4.tcp_frto = 2 net.ipv4.tcp_fwmark_accept = 0 @@ -1835,7 +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 = 146 +net.netfilter.nf_conntrack_count = 120 net.netfilter.nf_conntrack_dccp_loose = 1 net.netfilter.nf_conntrack_dccp_timeout_closereq = 64 net.netfilter.nf_conntrack_dccp_timeout_closing = 64 @@ -1983,12 +1981,12 @@ LOGO=ubuntu-logo 19. Disk information NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINTS sda 8:0 0 75G 0 disk -├─sda1 8:1 0 74G 0 part / -├─sda14 8:14 0 4M 0 part -├─sda15 8:15 0 106M 0 part /boot/efi -└─sda16 259:0 0 913M 0 part /boot +└─sda1 8:1 0 75G 0 part /mnt sdb 8:16 0 75G 0 disk -└─sdb1 8:17 0 75G 0 part /mnt +├─sdb1 8:17 0 74G 0 part / +├─sdb14 8:30 0 4M 0 part +├─sdb15 8:31 0 106M 0 part /boot/efi +└─sdb16 259:0 0 913M 0 part /boot ------------------------------------------------------------ 20. /sys/devices/virtual/dmi/id bios_date @@ -2058,8 +2056,8 @@ System Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0010-3057-1209-8968-8815-21 - UUID: 8d3e058f-7c50-7149-9127-a8ebc079bd27 + Serial Number: 0000-0007-8594-0974-9864-8924-88 + UUID: 863b126d-f0cc-4848-bd14-93545148dde3 Wake-up Type: Power Switch Handle 0x0002, DMI type 2, 8 bytes @@ -2067,7 +2065,7 @@ Base Board Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0010-4595-1439-0091-2509-83 + Serial Number: 0000-0013-6246-7676-3052-8588-51 Handle 0x0003, DMI type 3, 17 bytes Chassis Information @@ -2075,7 +2073,7 @@ Chassis Information Type: Desktop Lock: Not Present Version: 7.0 - Serial Number: 3738-8520-4900-3352-5611-1282-96 + Serial Number: 5139-5942-7520-7050-8982-0898-04 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 b07d4aa7d..f9068d022 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-az1319-932 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-az1779-710 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 - 20:36:46 up 5 min, 0 user, load average: 1.80, 0.83, 0.34 + 07:03:30 up 7 min, 0 user, load average: 3.05, 1.33, 0.59 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -38,8 +38,6 @@ systemd-+-ModemManager---3*[{ModemManager}] |-cron |-dbus-daemon |-dockerd---9*[{dockerd}] - |-fwupd---6*[{fwupd}] - |-gpg-agent |-haveged |-hv_kvp_daemon |-multipathd---6*[{multipathd}] @@ -47,10 +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 - | | | `-17*[{Runner.Worker}] - | | `-15*[{Runner.Listener}] + | | | `-16*[{Runner.Worker}] + | | `-14*[{Runner.Listener}] | |-provjobd---9*[{provjobd}] - | `-15*[{provisioner}] + | `-14*[{provisioner}] |-python3---python3---4*[{python3}] |-rsyslogd---3*[{rsyslogd}] |-systemd---(sd-pam) @@ -59,7 +57,7 @@ systemd-+-ModemManager---3*[{ModemManager}] |-systemd-network |-systemd-resolve |-systemd-udevd - `-udisksd---6*[{udisksd}] + `-udisksd---5*[{udisksd}] ------------------------------------------------------------ 6. /proc/cpuinfo processor : 0 @@ -69,7 +67,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 3243.926 +cpu MHz : 3242.728 cache size : 512 KB physical id : 0 siblings : 4 @@ -83,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -97,7 +95,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.430 +cpu MHz : 3158.708 cache size : 512 KB physical id : 0 siblings : 4 @@ -111,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -125,7 +123,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2633.273 +cpu MHz : 3241.473 cache size : 512 KB physical id : 0 siblings : 4 @@ -139,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -153,7 +151,7 @@ model : 1 model name : AMD EPYC 7763 64-Core Processor stepping : 1 microcode : 0xffffffff -cpu MHz : 2445.430 +cpu MHz : 3243.506 cache size : 512 KB physical id : 0 siblings : 4 @@ -167,7 +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 : 4890.86 +bogomips : 4890.85 TLB size : 2560 4K pages clflush size : 64 cache_alignment : 64 @@ -190,7 +188,7 @@ Thread(s) per core: 2 Core(s) per socket: 2 Socket(s): 1 Stepping: 1 -BogoMIPS: 4890.86 +BogoMIPS: 4890.85 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 @@ -220,53 +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: 5275 MB +node 0 free: 5453 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo -MemTotal: 16373796 kB -MemFree: 5402008 kB -MemAvailable: 15215128 kB -Buffers: 190616 kB -Cached: 9471824 kB +MemTotal: 16373792 kB +MemFree: 5584220 kB +MemAvailable: 15371688 kB +Buffers: 190172 kB +Cached: 9446392 kB SwapCached: 0 kB -Active: 1367124 kB -Inactive: 8709200 kB -Active(anon): 494332 kB +Active: 1237460 kB +Inactive: 8696544 kB +Active(anon): 377276 kB Inactive(anon): 0 kB -Active(file): 872792 kB -Inactive(file): 8709200 kB +Active(file): 860184 kB +Inactive(file): 8696544 kB Unevictable: 46772 kB Mlocked: 43700 kB SwapTotal: 4194300 kB SwapFree: 4194300 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 5000 kB +Dirty: 1216 kB Writeback: 0 kB -AnonPages: 460672 kB -Mapped: 362268 kB -Shmem: 71696 kB -KReclaimable: 577040 kB -Slab: 688896 kB -SReclaimable: 577040 kB -SUnreclaim: 111856 kB -KernelStack: 4080 kB -PageTables: 6816 kB +AnonPages: 343024 kB +Mapped: 341588 kB +Shmem: 71084 kB +KReclaimable: 576652 kB +Slab: 688148 kB +SReclaimable: 576652 kB +SUnreclaim: 111496 kB +KernelStack: 3888 kB +PageTables: 6332 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 12381196 kB -Committed_AS: 2437632 kB +Committed_AS: 2199180 kB VmallocTotal: 34359738367 kB -VmallocUsed: 35220 kB +VmallocUsed: 34992 kB VmallocChunk: 0 kB Percpu: 2208 kB HardwareCorrupted: 0 kB -AnonHugePages: 182272 kB +AnonHugePages: 163840 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB FileHugePages: 0 kB @@ -278,12 +276,12 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 106432 kB -DirectMap2M: 3039232 kB -DirectMap1G: 15728640 kB +DirectMap4k: 126912 kB +DirectMap2M: 4067328 kB +DirectMap1G: 14680064 kB ------------------------------------------------------------ 10. who -r - run-level 5 2025-01-30 20:31 + run-level 5 2025-01-31 06:56 ------------------------------------------------------------ 11. Systemd service manager version systemd 255 (255.4-1ubuntu8.4) @@ -734,7 +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 1: 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 @@ -810,16 +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 = 250883 243350 45 0 15170 0 +fs.dentry-state = 250178 242771 45 0 14820 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 = 1888 0 9223372036854775807 -fs.inode-nr = 235653 567 -fs.inode-state = 235653 567 0 0 0 0 0 +fs.file-nr = 1696 0 9223372036854775807 +fs.inode-nr = 235344 568 +fs.inode-state = 235344 568 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 1280 fs.inotify.max_user_watches = 655360 @@ -878,7 +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-az1319-932 +kernel.hostname = fv-az1779-710 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -911,7 +909,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 0 -kernel.ns_last_pid = 8192 +kernel.ns_last_pid = 8154 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -944,11 +942,11 @@ kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 kernel.pty.nr = 0 kernel.pty.reserve = 1024 -kernel.random.boot_id = 948c5e66-faaf-46d2-ac82-968612c91476 +kernel.random.boot_id = 86c3f062-784b-45c8-b3cf-09bbb280e813 kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 2f282d63-dc43-4fcc-a064-81630efdc6c4 +kernel.random.uuid = 7b8ab1e3-81e1-43cb-b2f8-5ff472b1a214 kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 @@ -1361,7 +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 = bb0dbd1a-0c12ab84-8bbb0c41-160e1d15 +net.ipv4.tcp_fastopen_key = e15f3eaa-36663d5e-4d80840b-1d5ef223 net.ipv4.tcp_fin_timeout = 60 net.ipv4.tcp_frto = 2 net.ipv4.tcp_fwmark_accept = 0 @@ -1835,7 +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 = 146 +net.netfilter.nf_conntrack_count = 120 net.netfilter.nf_conntrack_dccp_loose = 1 net.netfilter.nf_conntrack_dccp_timeout_closereq = 64 net.netfilter.nf_conntrack_dccp_timeout_closing = 64 @@ -1983,12 +1981,12 @@ LOGO=ubuntu-logo 19. Disk information NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINTS sda 8:0 0 75G 0 disk -├─sda1 8:1 0 74G 0 part / -├─sda14 8:14 0 4M 0 part -├─sda15 8:15 0 106M 0 part /boot/efi -└─sda16 259:0 0 913M 0 part /boot +└─sda1 8:1 0 75G 0 part /mnt sdb 8:16 0 75G 0 disk -└─sdb1 8:17 0 75G 0 part /mnt +├─sdb1 8:17 0 74G 0 part / +├─sdb14 8:30 0 4M 0 part +├─sdb15 8:31 0 106M 0 part /boot/efi +└─sdb16 259:0 0 913M 0 part /boot ------------------------------------------------------------ 20. /sys/devices/virtual/dmi/id bios_date @@ -2058,8 +2056,8 @@ System Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0010-3057-1209-8968-8815-21 - UUID: 8d3e058f-7c50-7149-9127-a8ebc079bd27 + Serial Number: 0000-0007-8594-0974-9864-8924-88 + UUID: 863b126d-f0cc-4848-bd14-93545148dde3 Wake-up Type: Power Switch Handle 0x0002, DMI type 2, 8 bytes @@ -2067,7 +2065,7 @@ Base Board Information Manufacturer: Microsoft Corporation Product Name: Virtual Machine Version: 7.0 - Serial Number: 0000-0010-4595-1439-0091-2509-83 + Serial Number: 0000-0013-6246-7676-3052-8588-51 Handle 0x0003, DMI type 3, 17 bytes Chassis Information @@ -2075,7 +2073,7 @@ Chassis Information Type: Desktop Lock: Not Present Version: 7.0 - Serial Number: 3738-8520-4900-3352-5611-1282-96 + Serial Number: 5139-5942-7520-7050-8982-0898-04 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 b5c85bce8..88bf7c4cb 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=75.200%, good=376, total=500 -hash=31cee4d7bc8202bf0dd2ccc293150cab98d49b8a2b19e957f0b15fa41921b11f +hash=860352bb233206fea1c48f25756460b160646446851c58b0812c9dbaa4ff54a6 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 58424d4cb..43abe5d9e 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 @@ -3,20 +3,20 @@ { "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" : 4, "qsl_idx" : 47, "data" : "03" }, { "seq_id" : 6, "qsl_idx" : 240, "data" : "02" }, +{ "seq_id" : 5, "qsl_idx" : 112, "data" : "19" }, { "seq_id" : 7, "qsl_idx" : 386, "data" : "20" }, -{ "seq_id" : 11, "qsl_idx" : 51, "data" : "07" }, +{ "seq_id" : 8, "qsl_idx" : 159, "data" : "02" }, { "seq_id" : 9, "qsl_idx" : 379, "data" : "03" }, { "seq_id" : 10, "qsl_idx" : 33, "data" : "11" }, -{ "seq_id" : 8, "qsl_idx" : 159, "data" : "02" }, +{ "seq_id" : 11, "qsl_idx" : 51, "data" : "07" }, { "seq_id" : 12, "qsl_idx" : 73, "data" : "03" }, { "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" : 16, "qsl_idx" : 4, "data" : "03" }, { "seq_id" : 17, "qsl_idx" : 200, "data" : "08" }, +{ "seq_id" : 16, "qsl_idx" : 4, "data" : "03" }, { "seq_id" : 18, "qsl_idx" : 281, "data" : "0A" }, { "seq_id" : 19, "qsl_idx" : 194, "data" : "11" }, { "seq_id" : 20, "qsl_idx" : 213, "data" : "08" }, @@ -33,8 +33,8 @@ { "seq_id" : 30, "qsl_idx" : 432, "data" : "11" }, { "seq_id" : 32, "qsl_idx" : 399, "data" : "08" }, { "seq_id" : 33, "qsl_idx" : 464, "data" : "03" }, -{ "seq_id" : 34, "qsl_idx" : 187, "data" : "11" }, { "seq_id" : 35, "qsl_idx" : 152, "data" : "11" }, +{ "seq_id" : 34, "qsl_idx" : 187, "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" }, @@ -46,9 +46,9 @@ { "seq_id" : 44, "qsl_idx" : 496, "data" : "19" }, { "seq_id" : 45, "qsl_idx" : 163, "data" : "09" }, { "seq_id" : 46, "qsl_idx" : 262, "data" : "03" }, -{ "seq_id" : 49, "qsl_idx" : 206, "data" : "14" }, -{ "seq_id" : 47, "qsl_idx" : 261, "data" : "15" }, { "seq_id" : 48, "qsl_idx" : 321, "data" : "11" }, +{ "seq_id" : 47, "qsl_idx" : 261, "data" : "15" }, +{ "seq_id" : 49, "qsl_idx" : 206, "data" : "14" }, { "seq_id" : 50, "qsl_idx" : 453, "data" : "0B" }, { "seq_id" : 52, "qsl_idx" : 320, "data" : "15" }, { "seq_id" : 51, "qsl_idx" : 484, "data" : "03" }, @@ -60,17 +60,17 @@ { "seq_id" : 58, "qsl_idx" : 56, "data" : "01" }, { "seq_id" : 59, "qsl_idx" : 311, "data" : "02" }, { "seq_id" : 60, "qsl_idx" : 359, "data" : "03" }, -{ "seq_id" : 62, "qsl_idx" : 62, "data" : "12" }, { "seq_id" : 61, "qsl_idx" : 9, "data" : "11" }, +{ "seq_id" : 62, "qsl_idx" : 62, "data" : "12" }, { "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" : "03" }, +{ "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" : 71, "qsl_idx" : 161, "data" : "08" }, +{ "seq_id" : 71, "qsl_idx" : 161, "data" : "11" }, { "seq_id" : 72, "qsl_idx" : 164, "data" : "0C" }, { "seq_id" : 73, "qsl_idx" : 361, "data" : "0D" }, { "seq_id" : 74, "qsl_idx" : 72, "data" : "11" }, @@ -92,16 +92,16 @@ { "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" : 429, "qsl_idx" : 344, "data" : "11" }, -{ "seq_id" : 431, "qsl_idx" : 237, "data" : "11" }, +{ "seq_id" : 431, "qsl_idx" : 237, "data" : "08" }, +{ "seq_id" : 430, "qsl_idx" : 412, "data" : "0E" }, { "seq_id" : 432, "qsl_idx" : 476, "data" : "02" }, -{ "seq_id" : 434, "qsl_idx" : 115, "data" : "03" }, { "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" : 436, "qsl_idx" : 339, "data" : "07" }, -{ "seq_id" : 439, "qsl_idx" : 184, "data" : "0A" }, { "seq_id" : 438, "qsl_idx" : 388, "data" : "03" }, +{ "seq_id" : 439, "qsl_idx" : 184, "data" : "0A" }, { "seq_id" : 437, "qsl_idx" : 323, "data" : "11" }, { "seq_id" : 440, "qsl_idx" : 67, "data" : "08" }, { "seq_id" : 441, "qsl_idx" : 147, "data" : "11" }, @@ -110,40 +110,40 @@ { "seq_id" : 444, "qsl_idx" : 211, "data" : "09" }, { "seq_id" : 445, "qsl_idx" : 420, "data" : "11" }, { "seq_id" : 447, "qsl_idx" : 108, "data" : "03" }, -{ "seq_id" : 446, "qsl_idx" : 238, "data" : "03" }, +{ "seq_id" : 446, "qsl_idx" : 238, "data" : "11" }, { "seq_id" : 448, "qsl_idx" : 61, "data" : "03" }, { "seq_id" : 449, "qsl_idx" : 235, "data" : "03" }, { "seq_id" : 450, "qsl_idx" : 322, "data" : "09" }, +{ "seq_id" : 452, "qsl_idx" : 77, "data" : "15" }, { "seq_id" : 451, "qsl_idx" : 457, "data" : "02" }, -{ "seq_id" : 452, "qsl_idx" : 77, "data" : "01" }, { "seq_id" : 453, "qsl_idx" : 248, "data" : "0B" }, { "seq_id" : 454, "qsl_idx" : 302, "data" : "0E" }, -{ "seq_id" : 456, "qsl_idx" : 215, "data" : "11" }, { "seq_id" : 455, "qsl_idx" : 120, "data" : "0E" }, +{ "seq_id" : 456, "qsl_idx" : 215, "data" : "11" }, { "seq_id" : 457, "qsl_idx" : 246, "data" : "13" }, -{ "seq_id" : 458, "qsl_idx" : 417, "data" : "32" }, { "seq_id" : 460, "qsl_idx" : 360, "data" : "02" }, +{ "seq_id" : 458, "qsl_idx" : 417, "data" : "32" }, { "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" : 463, "qsl_idx" : 28, "data" : "0E" }, +{ "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" : 468, "qsl_idx" : 218, "data" : "0E" }, -{ "seq_id" : 469, "qsl_idx" : 78, "data" : "11" }, { "seq_id" : 471, "qsl_idx" : 431, "data" : "11" }, +{ "seq_id" : 469, "qsl_idx" : 78, "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" : "0F" }, { "seq_id" : 474, "qsl_idx" : 148, "data" : "02" }, { "seq_id" : 475, "qsl_idx" : 50, "data" : "09" }, +{ "seq_id" : 473, "qsl_idx" : 110, "data" : "0F" }, { "seq_id" : 476, "qsl_idx" : 55, "data" : "0C" }, -{ "seq_id" : 477, "qsl_idx" : 65, "data" : "11" }, { "seq_id" : 478, "qsl_idx" : 343, "data" : "15" }, -{ "seq_id" : 480, "qsl_idx" : 438, "data" : "03" }, +{ "seq_id" : 477, "qsl_idx" : 65, "data" : "11" }, { "seq_id" : 479, "qsl_idx" : 258, "data" : "0E" }, +{ "seq_id" : 480, "qsl_idx" : 438, "data" : "03" }, { "seq_id" : 481, "qsl_idx" : 121, "data" : "0D" }, { "seq_id" : 482, "qsl_idx" : 82, "data" : "0F" }, { "seq_id" : 483, "qsl_idx" : 373, "data" : "20" }, @@ -151,16 +151,16 @@ { "seq_id" : 485, "qsl_idx" : 244, "data" : "11" }, { "seq_id" : 486, "qsl_idx" : 494, "data" : "09" }, { "seq_id" : 487, "qsl_idx" : 80, "data" : "11" }, -{ "seq_id" : 489, "qsl_idx" : 480, "data" : "16" }, { "seq_id" : 488, "qsl_idx" : 315, "data" : "02" }, +{ "seq_id" : 489, "qsl_idx" : 480, "data" : "16" }, { "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" : 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" : 494, "qsl_idx" : 419, "data" : "03" }, +{ "seq_id" : 495, "qsl_idx" : 153, "data" : "11" }, +{ "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 8a33590a0..84d2994bd 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": "5.0.14 @ 9b32a74c53", "time_ms": 0.005530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 9594, "tid": 9594}} -:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-30T20:34:44.365449", "time_ms": 0.005530, "namespace": 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+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 49603.632557, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 9557, "tid": 9557}} +:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 49603.632557, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 9557, "tid": 9557}} +:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 49603.632557, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 9557, "tid": 9557}} +:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 49603.632557, "namespace": "mlperf::logging", "event_type": 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7570, "tid": 7570}} -:::MLLOG {"key": "loadgen_git_log_message", "value": "9b32a74c53fcfa6a7f6b529dec6bba534e10cc29 Changes for final report generation - PointPainting (#2063)\n115dd5bfee40d97787d254516af2f99ebba4d883 Update truncate_accuracy_log.py | Remove a wrong ERROR message in logs (#2061)\n9dad99d4d7202f25c2ea2fd4b8cb220372de13fe Update backend_pytorch_native.py | Fixes #2056 (#2057)\n9c3c34c998315469d4f142d71efe6090754e73ad Automotive benchmark table (#2050)\n35030b8ce8cfe18051a484d0464bc067e1bb617c Increment version to 5.0.14", "time_ms": 0.004068, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 7570, "tid": 7570}} -:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.004068, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 7570, "tid": 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"line_no": 320, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 15036839855038426416, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_schedule_rng_seed", "value": 9933818062894767841, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_performance_sample_count_override", "value": 788379, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": false, "time_ms": 0.024125, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_test_mode", "value": "PerformanceOnly", "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_samples_per_query", "value": 500, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_target_qps", "value": 1, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_max_query_count", "value": 500, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_min_sample_count", "value": 500, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_qsl_rng_seed", "value": 6023615788873153749, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 15036839855038426416, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_schedule_rng_seed", "value": 9933818062894767841, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_performance_sample_count", "value": 788379, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": false, "time_ms": 0.024486, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "generic_message", "value": "Starting performance mode", "time_ms": 0.032451, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 836, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "loaded_qsl_set", "value": [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": 0.055333, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 608, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.103353, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "generated_samples_per_query", "value": 500, "time_ms": 0.103353, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "generated_query_duration", "value": 1000000000, "time_ms": 0.103353, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 429, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 47349.509573, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 49023.836498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 49023.836498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 49023.836498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 49023.836498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 49023.836498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 49023.836498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "power_begin", "value": "01-31-2025 07:02:38.013", "time_ms": 49023.837390, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 562, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "power_end", "value": "01-31-2025 07:03:27.036", "time_ms": 49023.837390, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 564, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 674, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 679, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 680, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 681, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "early_stopping_result", "value": "", "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 700, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 712, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_samples_per_second", "value": 10.1992, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 768, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_min_latency_ns", "value": 460463542, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 774, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_max_latency_ns", "value": 49023528136, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 775, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_mean_latency_ns", "value": 24896457199, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 776, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 24937050242, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 44496983274, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 46944054808, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 47918762594, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 48889816244, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7592, "tid": 7592}} +:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 49023528136, "time_ms": 49023.907661, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 7592, "tid": 7592}} 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 01027efff..84ebb912e 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: 9.95025 +Samples per second: 10.1992 Result is : VALID Min duration satisfied : Yes Min queries satisfied : Yes @@ -13,15 +13,15 @@ Result is : VALID ================================================ Additional Stats ================================================ -Min latency (ns) : 509290125 -Max latency (ns) : 50249976217 -Mean latency (ns) : 25414350435 -50.00 percentile latency (ns) : 25400272152 -90.00 percentile latency (ns) : 45658061791 -95.00 percentile latency (ns) : 48109573034 -97.00 percentile latency (ns) : 49073458846 -99.00 percentile latency (ns) : 50048914211 -99.90 percentile latency (ns) : 50249976217 +Min latency (ns) : 460463542 +Max latency (ns) : 49023528136 +Mean latency (ns) : 24896457199 +50.00 percentile latency (ns) : 24937050242 +90.00 percentile latency (ns) : 44496983274 +95.00 percentile latency (ns) : 46944054808 +97.00 percentile latency (ns) : 47918762594 +99.00 percentile latency (ns) : 48889816244 +99.90 percentile latency (ns) : 49023528136 ================================================ Test Parameters Used