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Results on mlc-server added by MLCommons
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closed/MLCommons/systems/mlc-server-reference-gpu-pytorch_v2.2.2-cu124.json
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{ | ||
"accelerator_frequency": "1980000 MHz", | ||
"accelerator_host_interconnect": "N/A", | ||
"accelerator_interconnect": "N/A", | ||
"accelerator_interconnect_topology": "", | ||
"accelerator_memory_capacity": "79.09661865234375 GB", | ||
"accelerator_memory_configuration": "N/A", | ||
"accelerator_model_name": "NVIDIA H100 80GB HBM3", | ||
"accelerator_on-chip_memories": "", | ||
"accelerators_per_node": 8, | ||
"cooling": "air", | ||
"division": "closed", | ||
"framework": "pytorch v2.2.2", | ||
"host_memory_capacity": "2.1T", | ||
"host_memory_configuration": "undefined", | ||
"host_network_card_count": "1", | ||
"host_networking": "Gig Ethernet", | ||
"host_networking_topology": "N/A", | ||
"host_processor_caches": "L1d cache: 5.3 MiB (112 instances), L1i cache: 3.5 MiB (112 instances), L2 cache: 224 MiB (112 instances), L3 cache: 210 MiB (2 instances)", | ||
"host_processor_core_count": "56", | ||
"host_processor_frequency": "2001.0000", | ||
"host_processor_interconnect": "", | ||
"host_processor_model_name": "Intel(R) Xeon(R) Platinum 8480+", | ||
"host_processors_per_node": "2", | ||
"host_storage_capacity": "19T", | ||
"host_storage_type": "SSD", | ||
"hw_notes": "", | ||
"number_of_nodes": "1", | ||
"operating_system": "Ubuntu 22.04 (linux-5.15.0-113-generic-glibc2.35)", | ||
"other_software_stack": "Python: 3.10.12, LLVM-15.0.6 , CUDA 12.4", | ||
"status": "available", | ||
"submitter": "MLCommons", | ||
"sw_notes": "", | ||
"system_name": "34127abc9663", | ||
"system_type": "edge", | ||
"system_type_detail": "edge server" | ||
} |
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...-server-reference-gpu-pytorch_v2.2.2-cu124/pointpainting/singlestream/README.md
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*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.* | ||
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## Host platform | ||
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* OS version: Linux-5.15.0-113-generic-x86_64-with-glibc2.35 | ||
* CPU version: x86_64 | ||
* Python version: 3.10.12 (main, Jan 17 2025, 14:35:34) [GCC 11.4.0] | ||
* MLC version: 0.1.0 | ||
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## CM Run Command | ||
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See [CM installation guide](https://docs.mlcommons.org/inference/install/). | ||
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```bash | ||
pip install -U mlcflow | ||
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mlc rm cache -f | ||
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mlc pull repo anandhu-eng@mlperf-automations --checkout=4192cdb677ef913c863abd7734fe821ec6c46793 | ||
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``` | ||
*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf, | ||
you should simply reload anandhu-eng@mlperf-automations without checkout and clean MLC cache as follows:* | ||
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```bash | ||
mlc rm repo anandhu-eng@mlperf-automations | ||
mlc pull repo anandhu-eng@mlperf-automations | ||
mlc rm cache -f | ||
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``` | ||
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## Results | ||
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Platform: mlc-server-reference-gpu-pytorch_v2.2.2-cu124 | ||
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Model Precision: fp32 | ||
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### Accuracy Results | ||
`mAP`: `54.24745`, Required accuracy for closed division `>= 0.54196` | ||
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### Performance Results | ||
`90th percentile latency (ns)`: `1568895029.0` |
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...server-reference-gpu-pytorch_v2.2.2-cu124/pointpainting/singlestream/accuracy_console.out
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INFO:main:Namespace(dataset='waymo', dataset_path='/mlc-mount/data/common/rod/waymo/kitti_format', profile=None, scenario='SingleStream', max_batchsize=1, threads=1, accuracy=True, find_peak_performance=False, backend='pytorch', model_name='pointpainting', output='/root/MLC/repos/local/cache/get-mlperf-inference-results-dir_fc658933/valid_results/34127abc9663-reference-gpu-pytorch-v2.2.2-cu124/pointpainting/singlestream/accuracy', qps=None, lidar_path='/mlc-mount/data/common/rod/waymo/pp_ep36.pth', segmentor_path='/mlc-mount/data/common/rod/waymo/best_deeplabv3plus_resnet50_waymo_os16.pth', dtype='fp32', device='cuda', user_conf='/root/MLC/repos/anandhu-eng@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/9b0967720c61400fa3f06e4f468e7dad.conf', audit_conf='audit.config', time=None, count=None, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8) | ||
/root/venv/mlc/lib/python3.10/site-packages/torch/functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3549.) | ||
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] | ||
INFO:main:starting TestScenario.SingleStream | ||
Using Segmentation Network -- deeplabv3plus |
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...ts/mlc-server-reference-gpu-pytorch_v2.2.2-cu124/pointpainting/singlestream/cpu_info.json
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{ | ||
"MLC_HOST_CPU_WRITE_PROTECT_SUPPORT": "yes", | ||
"MLC_HOST_CPU_MICROCODE": "0x2b0005c0", | ||
"MLC_HOST_CPU_FPU_SUPPORT": "yes", | ||
"MLC_HOST_CPU_FPU_EXCEPTION_SUPPORT": "yes", | ||
"MLC_HOST_CPU_BUGS": "coma tlb_mmatch spectre_v1 spectre_v2 spec_store_bypass swapgs eibrs_pbrsb bhi", | ||
"MLC_HOST_CPU_TLB_SIZE": "Not Found", | ||
"MLC_HOST_CPU_CFLUSH_SIZE": "64", | ||
"MLC_HOST_CPU_ARCHITECTURE": "x86_64", | ||
"MLC_HOST_CPU_TOTAL_CORES": "224", | ||
"MLC_HOST_CPU_ON_LINE_CPUS_LIST": "0-223", | ||
"MLC_HOST_CPU_VENDOR_ID": "GenuineIntel", | ||
"MLC_HOST_CPU_MODEL_NAME": "Intel(R) Xeon(R) Platinum 8480+", | ||
"MLC_HOST_CPU_FAMILY": "6", | ||
"MLC_HOST_CPU_THREADS_PER_CORE": "2", | ||
"MLC_HOST_CPU_PHYSICAL_CORES_PER_SOCKET": "56", | ||
"MLC_HOST_CPU_SOCKETS": "2", | ||
"MLC_HOST_CPU_MAX_MHZ": "2001.0000", | ||
"MLC_HOST_CPU_L1D_CACHE_SIZE": "5.3 MiB (112 instances)", | ||
"MLC_HOST_CPU_L1I_CACHE_SIZE": "3.5 MiB (112 instances)", | ||
"MLC_HOST_CPU_L2_CACHE_SIZE": "224 MiB (112 instances)", | ||
"MLC_HOST_CPU_L3_CACHE_SIZE": "210 MiB (2 instances)", | ||
"MLC_HOST_CPU_NUMA_NODES": "2", | ||
"MLC_HOST_CPU_TOTAL_LOGICAL_CORES": "224", | ||
"MLC_HOST_MEMORY_CAPACITY": "2.1T", | ||
"MLC_HOST_DISK_CAPACITY": "19T" | ||
} |
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...nts/mlc-server-reference-gpu-pytorch_v2.2.2-cu124/pointpainting/singlestream/mlc-deps.mmd
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graph TD | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_pointpainting,_pytorch,_cuda,_valid,_r5.0-dev_default,_singlestream_) --> detect,os | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_pointpainting,_pytorch,_cuda,_valid,_r5.0-dev_default,_singlestream_) --> get,sys-utils-cm | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_pointpainting,_pytorch,_cuda,_valid,_r5.0-dev_default,_singlestream_) --> get,python | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> detect,os | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,python3 | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,git,repo,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_pointpainting,_pytorch,_cuda,_valid,_r5.0-dev_default,_singlestream_) --> get,mlcommons,inference,src,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> detect,os | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,python3 | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,git,repo,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
get-mlperf-inference-utils,e341e5f86d8342e5 --> get,mlperf,inference,src,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_pointpainting,_pytorch,_cuda,_valid,_r5.0-dev_default,_singlestream_) --> get,mlperf,inference,utils | ||
get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,cuda,_toolkit | ||
get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,python3 | ||
get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 | ||
get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,generic-python-lib,_package.pycuda | ||
get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,python3 | ||
get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,generic-python-lib,_package.numpy | ||
app-mlperf-inference,d775cac873ee4231_(_reference,_pointpainting,_pytorch,_cuda,_valid,_r5.0-dev_default,_singlestream_) --> get,cuda-devices,_with-pycuda | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> detect,os | ||
detect-cpu,586c8a43320142f7 --> detect,os | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> detect,cpu | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,sys-utils-cm | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,python | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,cuda,_cudnn | ||
get-generic-python-lib,94b62a682bc44791_(_torch_cuda_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_torch_cuda | ||
get-generic-python-lib,94b62a682bc44791_(_torchvision_cuda_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_torchvision_cuda | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,ml-model,pointpillars | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,ml-model,resnet50-deeplab | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,dataset,waymo | ||
generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,os | ||
detect-cpu,586c8a43320142f7 --> detect,os | ||
generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,cpu | ||
generate-mlperf-inference-user-conf,3af4475745964b93 --> get,python | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> detect,os | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,python3 | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,git,repo,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
generate-mlperf-inference-user-conf,3af4475745964b93 --> get,mlcommons,inference,src,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
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_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> generate,user-conf,mlperf,inference | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,loadgen | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> detect,os | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,python3 | ||
get-mlperf-inference-src,4b57186581024797_(_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git_) --> get,git,repo,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,mlcommons,inference,src,_branch.patch-16,_repo.https://github.com/anandhu-eng/inference.git | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,mlcommons,inference,src | ||
get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.psutil | ||
get-generic-python-lib,94b62a682bc44791_(_package.shapely_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.shapely | ||
get-generic-python-lib,94b62a682bc44791_(_package.numba_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.numba | ||
get-generic-python-lib,94b62a682bc44791_(_package.open3d_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.open3d | ||
get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.numpy | ||
get-generic-python-lib,94b62a682bc44791_(_package.tensorboard_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.tensorboard | ||
get-generic-python-lib,94b62a682bc44791_(_package.onnxruntime_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.onnxruntime | ||
get-generic-python-lib,94b62a682bc44791_(_package.opencv-python_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.opencv-python | ||
get-generic-python-lib,94b62a682bc44791_(_package.scikit-image_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.scikit-image | ||
get-generic-python-lib,94b62a682bc44791_(_package.scipy_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.scipy | ||
get-generic-python-lib,94b62a682bc44791_(_package.ninja_) --> get,python3 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-python-lib,_package.ninja | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-sys-util,_ffmpeg | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-sys-util,_libsm6 | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> get,generic-sys-util,_libxext6 | ||
detect-cpu,586c8a43320142f7 --> detect,os | ||
benchmark-program,19f369ef47084895 --> detect,cpu | ||
benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program | ||
app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_cuda,_pytorch,_pointpainting,_singlestream,_fp32_) --> benchmark-mlperf |
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...rver-reference-gpu-pytorch_v2.2.2-cu124/pointpainting/singlestream/mlc-deps.png
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...2.2.2-cu124/pointpainting/singlestream/mlc-server-reference-gpu-pytorch_v2.2.2-cu124.json
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{ | ||
"starting_weights_filename": "https://github.com/mlcommons/mlperf-automations/tree/dev/script/get-ml-model-pointpainting,https://github.com/mlcommons/mlperf-automations/tree/dev/script/get-ml-model-resnet50-deeplab", | ||
"retraining": "no", | ||
"input_data_types": "fp32", | ||
"weight_data_types": "fp32", | ||
"weight_transformations": "none" | ||
} |
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