From a7a6c9220d9f074e02014d250d46c46f65878317 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Wed, 25 Dec 2024 11:34:32 +0530 Subject: [PATCH] Results from GH action on NVIDIA_RTX4090x1 --- ...-gpu-tensorrt-vdefault-default_config.json | 16 +- .../3d-unet-99.9/singlestream/README.md | 10 +- .../singlestream/accuracy_console.out | 42 +- .../3d-unet-99.9/singlestream/cm-deps.mmd | 152 +- .../3d-unet-99.9/singlestream/cm-deps.png | Bin 8820263 -> 8815318 bytes .../singlestream/cm-version-info.json | 172 +- .../3d-unet-99.9/singlestream/cpu_info.json | 27 +- .../3d-unet-99.9/singlestream/os_info.json | 4 +- .../singlestream/performance_console.out | 68 +- .../3d-unet-99.9/singlestream/system_info.txt | 1446 ++++++++-------- .../3d-unet-99.9/system_info.txt | 1448 ++++++++--------- .../accuracy/mlperf_log_detail.txt | 138 +- .../performance/run_1/mlperf_log_detail.txt | 178 +- .../performance/run_1/mlperf_log_summary.txt | 28 +- ...-gpu-tensorrt-vdefault-default_config.json | 16 +- 15 files changed, 1858 insertions(+), 1887 deletions(-) diff --git a/closed/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json b/closed/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json index b71e8eae..77475211 100644 --- a/closed/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json +++ b/closed/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json @@ -1,9 +1,9 @@ { - "accelerator_frequency": "2610000 MHz", + "accelerator_frequency": "2520000 MHz", "accelerator_host_interconnect": "N/A", "accelerator_interconnect": "N/A", "accelerator_interconnect_topology": "", - "accelerator_memory_capacity": "23.54595947265625 GB", + "accelerator_memory_capacity": "23.64971923828125 GB", "accelerator_memory_configuration": "N/A", "accelerator_model_name": "NVIDIA GeForce RTX 4090", "accelerator_on-chip_memories": "", @@ -16,17 +16,17 @@ "host_network_card_count": "1", "host_networking": "Gig Ethernet", "host_networking_topology": "N/A", - "host_processor_caches": "L1d cache: 512 KiB, L1i cache: 512 KiB, L2 cache: 16 MiB, L3 cache: 64 MiB", - "host_processor_core_count": "16", - "host_processor_frequency": "5881.0000", + "host_processor_caches": "L1d cache: 576 KiB, L1i cache: 384 KiB, L2 cache: 24 MiB, L3 cache: ", + "host_processor_core_count": "24", + "host_processor_frequency": "5800.0000", "host_processor_interconnect": "", - "host_processor_model_name": "AMD Ryzen 9 7950X 16-Core Processor", + "host_processor_model_name": "13th Gen Intel(R) Core(TM) i9-13900K", "host_processors_per_node": "1", - "host_storage_capacity": "6.8T", + "host_storage_capacity": "9.4T", "host_storage_type": "SSD", "hw_notes": "", "number_of_nodes": "1", - "operating_system": "Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31)", + "operating_system": "Ubuntu 20.04 (linux-6.8.0-49-generic-glibc2.31)", "other_software_stack": "Python: 3.8.10, GCC-9.4.0, Using Docker , CUDA 12.2", "status": "available", "submitter": "MLCommons", diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/README.md b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/README.md index ea7e98d1..862da916 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/README.md +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/README.md @@ -4,7 +4,7 @@ This experiment is generated using the [MLCommons Collective Mind automation fra ## Host platform -* OS version: Linux-6.8.0-51-generic-x86_64-with-glibc2.29 +* OS version: Linux-6.8.0-49-generic-x86_64-with-glibc2.29 * CPU version: x86_64 * Python version: 3.8.10 (default, Nov 7 2024, 13:10:47) [GCC 9.4.0] @@ -56,8 +56,8 @@ cm run script \ --env.CM_MLPERF_INFERENCE_VERSION=4.1-dev \ --env.CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r4.1-dev_default \ --env.CM_MLPERF_LOADGEN_ALL_MODES=yes \ - --env.CM_MLPERF_INFERENCE_SOURCE_VERSION=5.0.4 \ - --env.CM_MLPERF_LAST_RELEASE=v5.0 \ + --env.CM_MLPERF_INFERENCE_SOURCE_VERSION=4.1.23 \ + --env.CM_MLPERF_LAST_RELEASE=v4.1 \ --env.CM_TMP_PIP_VERSION_STRING= \ --env.CM_MODEL=3d-unet-99.9 \ --env.CM_MLPERF_CLEAN_SUBMISSION_DIR=yes \ @@ -104,7 +104,7 @@ cm run script \ --dump_version_info=True \ --env.OUTPUT_BASE_DIR=/cm-mount/home/arjun/gh_action_results \ --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/cm-mount/home/arjun/gh_action_submissions \ - --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/a8c152aef5494496 + --env.MLPERF_SCRATCH_PATH=/home/cmuser/CM/repos/local/cache/5b2b0cc913a4453a ``` *Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf (CM scripts), you should simply reload mlcommons@mlperf-automations without checkout and clean CM cache as follows:* @@ -126,4 +126,4 @@ Model Precision: int8 `DICE`: `0.86236`, Required accuracy for closed division `>= 0.86084` ### Performance Results -`90th percentile latency (ns)`: `433217794.0` +`90th percentile latency (ns)`: `437330110.0` diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy_console.out b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy_console.out index c784eef6..ed87b1bd 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy_console.out +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy_console.out @@ -1,31 +1,31 @@ -[2024-12-24 20:21:24,912 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 -[2024-12-24 20:21:25,130 harness.py:249 INFO] The harness will load 3 plugins: ['build/plugins/pixelShuffle3DPlugin/libpixelshuffle3dplugin.so', 'build/plugins/conv3D1X1X1K4Plugin/libconv3D1X1X1K4Plugin.so', 'build/plugins/conv3D3X3X3C1K32Plugin/libconv3D3X3X3C1K32Plugin.so'] -[2024-12-24 20:21:25,131 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/3d-unet-99.9/SingleStream -[2024-12-24 20:21:25,131 __init__.py:46 INFO] Running command: ./build/bin/harness_3dunet --plugins="build/plugins/pixelShuffle3DPlugin/libpixelshuffle3dplugin.so,build/plugins/conv3D1X1X1K4Plugin/libconv3D1X1X1K4Plugin.so,build/plugins/conv3D3X3X3C1K32Plugin/libconv3D3X3X3C1K32Plugin.so" --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy" --logfile_prefix="mlperf_log_" --performance_sample_count=43 --test_mode="AccuracyOnly" --gpu_copy_streams=1 --gpu_inference_streams=1 --use_deque_limit=true --gpu_batch_size=1 --map_path="data_maps/kits19/val_map.txt" --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/90c7069b92e34687/inference/mlperf.conf" --tensor_path="build/preprocessed_data/KiTS19/inference/int8" --use_graphs=false --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/3efabc7f4f6e4490b175a4d87432619b.conf" --unet3d_sw_gaussian_patch_path="/home/cmuser/CM/repos/local/cache/a8c152aef5494496/preprocessed_data/KiTS19/etc/gaussian_patches.npy" --gpu_engines="./build/engines/RTX4090x1/3d-unet/SingleStream/3d-unet-SingleStream-gpu-b1-int8.custom_k_99_9_MaxP.plan" --max_dlas=0 --slice_overlap_patch_kernel_cg_impl=false --scenario SingleStream --model 3d-unet -[2024-12-24 20:21:25,131 __init__.py:53 INFO] Overriding Environment +[2024-12-24 21:14:19,911 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 +[2024-12-24 21:14:20,085 harness.py:249 INFO] The harness will load 3 plugins: ['build/plugins/pixelShuffle3DPlugin/libpixelshuffle3dplugin.so', 'build/plugins/conv3D1X1X1K4Plugin/libconv3D1X1X1K4Plugin.so', 'build/plugins/conv3D3X3X3C1K32Plugin/libconv3D3X3X3C1K32Plugin.so'] +[2024-12-24 21:14:20,086 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/3d-unet-99.9/SingleStream +[2024-12-24 21:14:20,086 __init__.py:46 INFO] Running command: ./build/bin/harness_3dunet --plugins="build/plugins/pixelShuffle3DPlugin/libpixelshuffle3dplugin.so,build/plugins/conv3D1X1X1K4Plugin/libconv3D1X1X1K4Plugin.so,build/plugins/conv3D3X3X3C1K32Plugin/libconv3D3X3X3C1K32Plugin.so" --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy" --logfile_prefix="mlperf_log_" --performance_sample_count=43 --test_mode="AccuracyOnly" --gpu_copy_streams=1 --gpu_inference_streams=1 --use_deque_limit=true --gpu_batch_size=1 --map_path="data_maps/kits19/val_map.txt" --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/c1d8c371d52d46a3/inference/mlperf.conf" --tensor_path="build/preprocessed_data/KiTS19/inference/int8" --use_graphs=false --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/ce680103d365484b88716a62f18175c8.conf" --unet3d_sw_gaussian_patch_path="/home/cmuser/CM/repos/local/cache/5b2b0cc913a4453a/preprocessed_data/KiTS19/etc/gaussian_patches.npy" --gpu_engines="./build/engines/RTX4090x1/3d-unet/SingleStream/3d-unet-SingleStream-gpu-b1-int8.custom_k_99_9_MaxP.plan" --max_dlas=0 --slice_overlap_patch_kernel_cg_impl=false --scenario SingleStream --model 3d-unet +[2024-12-24 21:14:20,086 __init__.py:53 INFO] Overriding Environment benchmark : Benchmark.UNET3D buffer_manager_thread_count : 0 -data_dir : /home/cmuser/CM/repos/local/cache/a8c152aef5494496/data +data_dir : /home/cmuser/CM/repos/local/cache/5b2b0cc913a4453a/data gpu_batch_size : 1 gpu_copy_streams : 1 gpu_inference_streams : 1 input_dtype : int8 input_format : linear -log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.24-20.21.23 +log_dir : /home/cmuser/CM/repos/local/cache/dfbf240f980947f5/repo/closed/NVIDIA/build/logs/2024.12.24-21.14.19 map_path : data_maps/kits19/val_map.txt -mlperf_conf_path : /home/cmuser/CM/repos/local/cache/90c7069b92e34687/inference/mlperf.conf +mlperf_conf_path : /home/cmuser/CM/repos/local/cache/c1d8c371d52d46a3/inference/mlperf.conf precision : int8 -preprocessed_data_dir : /home/cmuser/CM/repos/local/cache/a8c152aef5494496/preprocessed_data +preprocessed_data_dir : /home/cmuser/CM/repos/local/cache/5b2b0cc913a4453a/preprocessed_data scenario : Scenario.SingleStream single_stream_expected_latency_ns : 0 slice_overlap_patch_kernel_cg_impl : False -system : SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name='AMD Ryzen 9 7950X 16-Core Processor', architecture=, core_count=16, threads_per_core=2): 1}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=131.080068, byte_suffix=, _num_bytes=131080068000), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout=defaultdict(, {GPU(name='NVIDIA GeForce RTX 4090', accelerator_type=, vram=Memory(quantity=23.98828125, byte_suffix=, _num_bytes=25757220864), max_power_limit=450.0, pci_id='0x268410DE', compute_sm=89): 1})), numa_conf=None, system_id='RTX4090x1') +system : SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name='13th Gen Intel(R) Core(TM) i9-13900K', architecture=, core_count=24, threads_per_core=1): 1}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=131.634476, byte_suffix=, _num_bytes=131634476000), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout=defaultdict(, {GPU(name='NVIDIA GeForce RTX 4090', accelerator_type=, vram=Memory(quantity=23.98828125, byte_suffix=, _num_bytes=25757220864), max_power_limit=450.0, pci_id='0x268410DE', compute_sm=89): 1})), numa_conf=None, system_id='RTX4090x1') tensor_path : build/preprocessed_data/KiTS19/inference/int8 test_mode : AccuracyOnly -unet3d_sw_gaussian_patch_path : /home/cmuser/CM/repos/local/cache/a8c152aef5494496/preprocessed_data/KiTS19/etc/gaussian_patches.npy +unet3d_sw_gaussian_patch_path : /home/cmuser/CM/repos/local/cache/5b2b0cc913a4453a/preprocessed_data/KiTS19/etc/gaussian_patches.npy use_deque_limit : True use_graphs : False -user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/3efabc7f4f6e4490b175a4d87432619b.conf +user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/ce680103d365484b88716a62f18175c8.conf system_id : RTX4090x1 config_name : RTX4090x1_3d-unet_SingleStream workload_setting : WorkloadSetting(HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP) @@ -38,24 +38,24 @@ skip_file_checks : False power_limit : None cpu_freq : None &&&& RUNNING MLPerf_Inference_3DUNet_Harness # ./build/bin/harness_3dunet -[I] mlperf.conf path: /home/cmuser/CM/repos/local/cache/90c7069b92e34687/inference/mlperf.conf -[I] user.conf path: /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/3efabc7f4f6e4490b175a4d87432619b.conf +[I] mlperf.conf path: /home/cmuser/CM/repos/local/cache/c1d8c371d52d46a3/inference/mlperf.conf +[I] user.conf path: /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/ce680103d365484b88716a62f18175c8.conf Creating QSL. Finished Creating QSL. Setting up SUT. [I] [TRT] Loaded engine size: 31 MiB -[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +8, now: CPU 84, GPU 1104 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +10, now: CPU 84, GPU 1114 (MiB) +[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 80, GPU 1097 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +10, now: CPU 80, GPU 1107 (MiB) [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +29, now: CPU 0, GPU 29 (MiB) [I] Device:0: ./build/engines/RTX4090x1/3d-unet/SingleStream/3d-unet-SingleStream-gpu-b1-int8.custom_k_99_9_MaxP.plan has been successfully loaded. [E] [TRT] 3: [runtime.cpp::~Runtime::401] Error Code 3: API Usage Error (Parameter check failed at: runtime/rt/runtime.cpp::~Runtime::401, condition: mEngineCounter.use_count() == 1 Destroying a runtime before destroying deserialized engines created by the runtime leads to undefined behavior.) -[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 52, GPU 1722 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 52, GPU 1730 (MiB) +[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +8, now: CPU 49, GPU 1715 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 49, GPU 1723 (MiB) [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +278, now: CPU 0, GPU 307 (MiB) [I] Creating batcher thread: 0 EnableBatcherThreadPerDevice: true Finished setting up SUT. Starting warmup. Running for a minimum of 5 seconds. -Finished warmup. Ran for 5.0508s. +Finished warmup. Ran for 5.05304s. Starting running actual test. No warnings encountered during test. @@ -68,8 +68,8 @@ Device Device:0 processed: PerSampleCudaMemcpy Calls: 43 BatchedCudaMemcpy Calls: 0 &&&& PASSED MLPerf_Inference_3DUNet_Harness # ./build/bin/harness_3dunet -[2024-12-24 20:21:42,302 run_harness.py:166 INFO] Result: Accuracy run detected. -[2024-12-24 20:21:42,302 __init__.py:46 INFO] Running command: python3 code/3d-unet/tensorrt/accuracy_kits.py --log_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy/mlperf_log_accuracy.json +[2024-12-24 21:14:36,037 run_harness.py:166 INFO] Result: Accuracy run detected. +[2024-12-24 21:14:36,037 __init__.py:46 INFO] Running command: python3 code/3d-unet/tensorrt/accuracy_kits.py --log_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/accuracy/mlperf_log_accuracy.json Loading necessary metadata... Loading loadgen accuracy log... Running postprocessing... diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/cm-deps.mmd b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/cm-deps.mmd index c087f37d..5b2c86ba 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/cm-deps.mmd +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/cm-deps.mmd @@ -20,17 +20,17 @@ graph TD get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,generic-python-lib,_pip get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,generic-python-lib,_package.numpy app-mlperf-inference,d775cac873ee4231_(_nvidia,_3d-unet-99.9,_tensorrt,_cuda,_valid,_r4.1-dev_default,_singlestream_) --> get,cuda-devices,_with-pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,mlperf,inference,nvidia,scratch,space + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,mlperf,inference,nvidia,scratch,space get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,mlcommons,inference,src - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,mlcommons,inference,src + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> pull,git,repo generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,os detect-cpu,586c8a43320142f7 --> detect,os generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,cpu @@ -38,9 +38,9 @@ graph TD generate-mlperf-inference-user-conf,3af4475745964b93 --> get,mlcommons,inference,src 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-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> generate,user-conf,mlperf,inference + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> generate,user-conf,mlperf,inference get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,generic-python-lib,_package.pycuda get-nvidia-mitten,1c045f2902374de9 --> detect,os get-nvidia-mitten,1c045f2902374de9 --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pycuda_) --> detect,os @@ -53,9 +53,9 @@ graph TD get-nvidia-mitten,1c045f2902374de9 --> get,generic-python-lib,_pycuda get-git-repo,ed603e7292974f10_(_repo.https://github.com/NVIDIA/mitten_) --> detect,os get-nvidia-mitten,1c045f2902374de9 --> get,git,_repo.https://github.com/NVIDIA/mitten - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,nvidia,mitten - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,cuda,_cudnn - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,tensorrt build-mlperf-inference-server-nvidia,f37403af5e9f4541_(_mlcommons_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os build-mlperf-inference-server-nvidia,f37403af5e9f4541_(_mlcommons_) --> detect,cpu @@ -113,101 +113,101 @@ graph TD get-generic-python-lib,94b62a682bc44791_(_pycuda_) --> get,python3 add-custom-nvidia-system,b2e6c46c6e8745a3_(_mlcommons_) --> get,generic-python-lib,_pycuda build-mlperf-inference-server-nvidia,f37403af5e9f4541_(_mlcommons_) --> add,custom,system,nvidia,_mlcommons - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> build,nvidia,inference,server,_mlcommons - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,mlcommons,inference,src - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,mlcommons,inference,src + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> pull,git,repo get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,nvidia,mitten - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,cuda,_cudnn - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,tensorrt - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> build,nvidia,inference,server,_mlcommons - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,mlcommons,inference,src - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,mlcommons,inference,src + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> pull,git,repo get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,nvidia,mitten get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_package.nibabel_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.nibabel + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.nibabel get-generic-python-lib,94b62a682bc44791_(_pandas_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_pandas + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_pandas get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon get-generic-python-lib,94b62a682bc44791_(_package.onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.onnx - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> save,mlperf,inference,state - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> save,mlperf,inference,state + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,mlcommons,inference,src - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,mlcommons,inference,src + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> pull,git,repo get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,nvidia,mitten get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_package.nibabel_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.nibabel + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.nibabel get-generic-python-lib,94b62a682bc44791_(_pandas_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_pandas + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_pandas get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon get-generic-python-lib,94b62a682bc44791_(_package.onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.onnx - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev_) --> save,mlperf,inference,state - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev_) --> save,mlperf,inference,state + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_package.nibabel_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.nibabel + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.nibabel get-generic-python-lib,94b62a682bc44791_(_pandas_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_pandas + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_pandas get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon get-generic-python-lib,94b62a682bc44791_(_package.onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.onnx - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev_) --> save,mlperf,inference,state - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_build_engine,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_batch_size.1,_3d-unet_,_v4.1-dev - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_download_model,_3d-unet-99.9,_tensorrt,_cuda,_3d-unet_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> get,generic-python-lib,_package.onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev_) --> save,mlperf,inference,state + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_build_engine,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_batch_size.1,_3d-unet_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_download_model,_tensorrt,_cuda,_3d-unet-99.9,_3d-unet_,_v4.1-dev get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_package.nibabel_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_package.nibabel + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,generic-python-lib,_package.nibabel get-generic-python-lib,94b62a682bc44791_(_pandas_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_pandas + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,generic-python-lib,_pandas get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,generic-python-lib,_onnx-graphsurgeon get-generic-python-lib,94b62a682bc44791_(_package.onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_package.onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> get,generic-python-lib,_package.onnx detect-cpu,586c8a43320142f7 --> detect,os benchmark-program,19f369ef47084895 --> detect,cpu benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_3d-unet-99.9,_tensorrt,_cuda,_rtx_4090_) --> benchmark-mlperf \ No newline at end of file + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_cuda,_3d-unet-99.9,_singlestream,_rtx_4090_) --> benchmark-mlperf \ No newline at end of file diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/cm-deps.png b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/3d-unet-99.9/singlestream/cm-deps.png index d3bd2acd238df1f9a209934406b8e369d33d2632..d353fe55f60f17695b1ff4445ee44b56af4e07b5 100644 GIT binary patch literal 8815318 zcmeEvcRbbY|NkjUrHqK|qCv8fy(*$mMnZO!z4xXe`?w1sD;XJCA$yc@l2!IzCwrWZ zJ&*78j=OUB-1q(O@AvS2JmSpvbzQIPHJ-2M>vhRn_O`^aBa}yAFxau1H^k&&Fa|~# zj7Iv zl)kmKxfMSfo5`;au$o!wv7w`)?tz;eHotMt3I=0kfd1{Xj~B6p?SsK?id|K(kC?3I 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