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 77475211f..b71e8eae9 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": "2520000 MHz", + "accelerator_frequency": "2610000 MHz", "accelerator_host_interconnect": "N/A", "accelerator_interconnect": "N/A", "accelerator_interconnect_topology": "", - "accelerator_memory_capacity": "23.64971923828125 GB", + "accelerator_memory_capacity": "23.54595947265625 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: 576 KiB, L1i cache: 384 KiB, L2 cache: 24 MiB, L3 cache: ", - "host_processor_core_count": "24", - "host_processor_frequency": "5800.0000", + "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_interconnect": "", - "host_processor_model_name": "13th Gen Intel(R) Core(TM) i9-13900K", + "host_processor_model_name": "AMD Ryzen 9 7950X 16-Core Processor", "host_processors_per_node": "1", - "host_storage_capacity": "9.4T", + "host_storage_capacity": "6.8T", "host_storage_type": "SSD", "hw_notes": "", "number_of_nodes": "1", - "operating_system": "Ubuntu 20.04 (linux-6.8.0-49-generic-glibc2.31)", + "operating_system": "Ubuntu 20.04 (linux-6.8.0-51-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/bert-99.9/offline/README.md b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/README.md index 9cea3e37f..ff07932fe 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/README.md +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/README.md @@ -1,5 +1,3 @@ -This experiment is generated using the [MLCommons Collective Mind automation framework (CM)](https://github.com/mlcommons/cm4mlops). - *Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.* ## Host platform @@ -19,7 +17,7 @@ pip install -U cmind cm rm cache -f -cm pull repo mlcommons@mlperf-automations --checkout=c52956b27fa8d06ec8db53f885e1f05021e379e9 +cm pull repo mlcommons@mlperf-automations --checkout=48ea6b46a7606d1c5d74909e94d5599dbe7ff9e1 cm run script \ --tags=app,mlperf,inference,generic,_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r4.1-dev_default,_offline \ @@ -41,8 +39,8 @@ cm run script \ --env.CM_RUN_MLPERF_SUBMISSION_PREPROCESSOR=yes \ --env.CM_MLPERF_INFERENCE_PULL_CODE_CHANGES=yes \ --env.CM_MLPERF_INFERENCE_PULL_SRC_CHANGES=yes \ - --env.OUTPUT_BASE_DIR=/home/arjun/gh_action_results \ - --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/gh_action_submissions \ + --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.CM_MLPERF_SUBMITTER=MLCommons \ --env.CM_USE_DATASET_FROM_HOST=yes \ --env.CM_USE_MODEL_FROM_HOST=yes \ @@ -71,7 +69,7 @@ cm run script \ --env.CM_DOCKER_REUSE_EXISTING_CONTAINER=yes \ --env.CM_DOCKER_DETACHED_MODE=yes \ --env.CM_MLPERF_INFERENCE_RESULTS_DIR_=/home/arjun/gh_action_results/valid_results \ - --env.CM_DOCKER_CONTAINER_ID=3f9407b7d53a \ + --env.CM_DOCKER_CONTAINER_ID=a29220344570 \ --env.CM_MLPERF_LOADGEN_COMPLIANCE_TEST=TEST01 \ --add_deps_recursive.compiler.tags=gcc \ --add_deps_recursive.coco2014-original.tags=_full \ @@ -104,10 +102,7 @@ cm run script \ --v=False \ --print_env=False \ --print_deps=False \ - --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 + --dump_version_info=True ``` *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:* @@ -126,7 +121,7 @@ Platform: RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config Model Precision: fp16 ### Accuracy Results -`F1`: `90.88067`, Required accuracy for closed division `>= 90.78313` +`F1`: `90.88324`, Required accuracy for closed division `>= 90.78313` ### Performance Results -`Samples per second`: `1597.77` +`Samples per second`: `1176.59` diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy_console.out b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy_console.out index d8ca5ef37..3c40d7808 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy_console.out +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy_console.out @@ -1,7 +1,7 @@ -[2024-12-28 15:24:37,200 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 -[2024-12-28 15:24:37,731 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/Offline -[2024-12-28 15:24:37,731 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="AccuracyOnly" --gpu_batch_size=256 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=false --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/b449747f5f5a4135a402e6c9015639c8.conf" --gpu_inference_streams=2 --gpu_copy_streams=2 --gpu_engines="./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan" --scenario Offline --model bert -[2024-12-28 15:24:37,731 __init__.py:53 INFO] Overriding Environment +[2024-12-31 23:51:14,202 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 +[2024-12-31 23:51:14,747 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/Offline +[2024-12-31 23:51:14,747 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="AccuracyOnly" --gpu_batch_size=256 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=false --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/4fb75fc446ab4ac1b7d16df1c26e1ed7.conf" --gpu_inference_streams=2 --gpu_copy_streams=2 --gpu_engines="./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan" --scenario Offline --model bert +[2024-12-31 23:51:14,747 __init__.py:53 INFO] Overriding Environment benchmark : Benchmark.BERT buffer_manager_thread_count : 0 coalesced_tensor : True @@ -11,8 +11,8 @@ gpu_copy_streams : 2 gpu_inference_streams : 2 input_dtype : int32 input_format : linear -log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.28-15.24.32 -mlperf_conf_path : /home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf +log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.31-23.51.03 +mlperf_conf_path : /home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf offline_expected_qps : 0.0 precision : fp16 preprocessed_data_dir : /home/cmuser/CM/repos/local/cache/a8c152aef5494496/preprocessed_data @@ -21,7 +21,7 @@ system : SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name='AM tensor_path : build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy test_mode : AccuracyOnly use_graphs : False -user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/b449747f5f5a4135a402e6c9015639c8.conf +user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/4fb75fc446ab4ac1b7d16df1c26e1ed7.conf system_id : RTX4090x1 config_name : RTX4090x1_bert_Offline workload_setting : WorkloadSetting(HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP) @@ -34,41 +34,41 @@ skip_file_checks : True power_limit : None cpu_freq : None &&&& RUNNING BERT_HARNESS # ./build/bin/harness_bert -I1228 15:24:37.834396 19732 main_bert.cc:163] Found 1 GPUs -I1228 15:24:38.761662 19732 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan -[I] [TRT] Loaded engine size: 699 MiB -[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +6, GPU +10, now: CPU 863, GPU 1518 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +2, GPU +10, now: CPU 865, GPU 1528 (MiB) +I1231 23:51:14.815665 19726 main_bert.cc:163] Found 1 GPUs +I1231 23:51:15.253394 19726 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan +[I] [TRT] Loaded engine size: 700 MiB +[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +7, GPU +10, now: CPU 864, GPU 1518 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +10, now: CPU 865, GPU 1528 (MiB) [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +576, now: CPU 0, GPU 576 (MiB) -I1228 15:24:40.453316 19732 bert_server.cc:208] Engines Creation Completed -I1228 15:24:40.507620 19732 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 -I1228 15:24:40.507630 19732 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 -I1228 15:24:40.507637 19732 bert_core_vs.cc:415] Engine - Profile 0 maxDims 98304 Bmax=256 Smax=384 +I1231 23:51:19.299175 19726 bert_server.cc:208] Engines Creation Completed +I1231 23:51:19.348824 19726 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I1231 23:51:19.348850 19726 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I1231 23:51:19.348858 19726 bert_core_vs.cc:415] Engine - Profile 0 maxDims 98304 Bmax=256 Smax=384 [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 166, GPU 2866 (MiB) [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 166, GPU 2874 (MiB) -I1228 15:24:40.577661 19732 bert_core_vs.cc:426] Setting Opt.Prof. to 0 +I1231 23:51:19.440239 19726 bert_core_vs.cc:426] Setting Opt.Prof. to 0 [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +1, GPU +0, now: CPU 1, GPU 576 (MiB) -I1228 15:24:40.577692 19732 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 -I1228 15:24:40.579841 19732 bert_core_vs.cc:476] Setup complete -I1228 15:24:40.580044 19732 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 -I1228 15:24:40.580049 19732 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 -I1228 15:24:40.580052 19732 bert_core_vs.cc:415] Engine - Profile 1 maxDims 98304 Bmax=256 Smax=384 +I1231 23:51:19.440282 19726 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +I1231 23:51:19.442037 19726 bert_core_vs.cc:476] Setup complete +I1231 23:51:19.444537 19726 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I1231 23:51:19.444542 19726 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I1231 23:51:19.444546 19726 bert_core_vs.cc:415] Engine - Profile 1 maxDims 98304 Bmax=256 Smax=384 [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 289, GPU 4352 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +10, now: CPU 289, GPU 4362 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +10, now: CPU 290, GPU 4362 (MiB) +I1231 23:51:19.721244 19726 bert_core_vs.cc:426] Setting Opt.Prof. to 1 [I] [TRT] Could not set default profile 0 for execution context. Profile index must be set explicitly. -I1228 15:24:40.651274 19732 bert_core_vs.cc:426] Setting Opt.Prof. to 1 [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +0, now: CPU 1, GPU 576 (MiB) -I1228 15:24:40.651684 19732 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 -I1228 15:24:40.652937 19732 bert_core_vs.cc:476] Setup complete -I1228 15:24:41.248067 19732 main_bert.cc:184] Starting running actual test. -I1228 15:24:47.760198 19732 main_bert.cc:190] Finished running actual test. +I1231 23:51:19.721933 19726 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +I1231 23:51:19.723507 19726 bert_core_vs.cc:476] Setup complete +I1231 23:51:20.460515 19726 main_bert.cc:184] Starting running actual test. +I1231 23:51:41.768021 19726 main_bert.cc:190] Finished running actual test. -No warnings encountered during test. +3797 warnings encountered. See detailed log. No errors encountered during test. -[2024-12-28 15:24:48,231 run_harness.py:166 INFO] Result: Accuracy run detected. -[2024-12-28 15:24:48,231 __init__.py:46 INFO] Running command: PYTHONPATH=code/bert/tensorrt/helpers python3 /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/language/bert/accuracy-squad.py --log_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_accuracy.json --vocab_file build/models/bert/vocab.txt --val_data /home/cmuser/CM/repos/local/cache/a8c152aef5494496/data/squad/dev-v1.1.json --out_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/predictions.json --output_dtype float16 -{"exact_match": 83.6802270577105, "f1": 90.88066528372401} +[2024-12-31 23:51:42,156 run_harness.py:166 INFO] Result: Accuracy run detected. +[2024-12-31 23:51:42,156 __init__.py:46 INFO] Running command: PYTHONPATH=code/bert/tensorrt/helpers python3 /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/language/bert/accuracy-squad.py --log_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_accuracy.json --vocab_file build/models/bert/vocab.txt --val_data /home/cmuser/CM/repos/local/cache/a8c152aef5494496/data/squad/dev-v1.1.json --out_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/predictions.json --output_dtype float16 +{"exact_match": 83.67076631977294, "f1": 90.8832407068292} Reading examples... Loading cached features from 'eval_features.pickle'... Loading LoadGen logs... diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.mmd b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.mmd index 232d5f551..44b2aa72c 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.mmd +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.mmd @@ -16,20 +16,20 @@ graph TD app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r4.1-dev_default,_offline_) --> get,cuda-devices,_with-pycuda app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r4.1-dev_default,_offline_) --> get,dataset,squad,language-processing app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r4.1-dev_default,_offline_) --> get,dataset-aux,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,mlperf,inference,nvidia,scratch,space + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,mlperf,inference,nvidia,scratch,space get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,ml-model,bert,_onnx,_fp32 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,ml-model,bert,_onnx,_int8 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,mlcommons,inference,src,_deeplearningexamples - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,ml-model,bert,_onnx,_fp32 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,ml-model,bert,_onnx,_int8 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,mlcommons,inference,src,_deeplearningexamples + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_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 @@ -37,58 +37,58 @@ graph TD generate-mlperf-inference-user-conf,3af4475745964b93 --> get,mlcommons,inference,src,_deeplearningexamples 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,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> generate,user-conf,mlperf,inference + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> generate,user-conf,mlperf,inference get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_package.pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,nvidia,mitten - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,cuda,_cudnn - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,tensorrt - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> build,nvidia,inference,server,_mlcommons - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_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,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,ml-model,bert,_onnx,_fp32 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,ml-model,bert,_onnx,_int8 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,mlcommons,inference,src,_deeplearningexamples - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,ml-model,bert,_onnx,_fp32 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,ml-model,bert,_onnx,_int8 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,mlcommons,inference,src,_deeplearningexamples + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> pull,git,repo get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,nvidia,mitten - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,cuda,_cudnn - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,tensorrt - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> build,nvidia,inference,server,_mlcommons - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_tensorrt,_bert-99.9,_cuda,_bert_,_v4.1-dev get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_safetensors + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_safetensors get-generic-python-lib,94b62a682bc44791_(_onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_onnx get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_package.sympy + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_package.sympy get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> save,mlperf,inference,state - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_build_engine,_bert-99.9,_offline,_cuda,_tensorrt,_bert_,_batch_size.256,_v4.1-dev - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev_) --> save,mlperf,inference,state + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_build_engine,_tensorrt,_offline,_bert-99.9,_cuda,_bert_,_batch_size.256,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_tensorrt,_bert-99.9,_cuda,_bert_,_v4.1-dev get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_safetensors + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,generic-python-lib,_safetensors get-generic-python-lib,94b62a682bc44791_(_onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,generic-python-lib,_onnx get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_package.sympy + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,generic-python-lib,_package.sympy get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> get,generic-python-lib,_onnx-graphsurgeon detect-cpu,586c8a43320142f7 --> detect,os benchmark-program,19f369ef47084895 --> detect,cpu benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090_) --> benchmark-mlperf \ No newline at end of file + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090_) --> benchmark-mlperf \ No newline at end of file diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.png b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.png index 822974f19..30dbb0cc7 100644 Binary files a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.png and b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-deps.png differ diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-version-info.json b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-version-info.json index 50ad45021..5d11a3e49 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-version-info.json +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/cm-version-info.json @@ -177,7 +177,7 @@ "script_tags": "detect-os,detect,os,info", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -197,7 +197,7 @@ "script_tags": "detect,cpu,detect-cpu,info", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -207,7 +207,7 @@ "script_tags": "get,sys-utils-cm", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -217,7 +217,7 @@ "script_tags": "get,mlperf,inference,nvidia,scratch,space", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -237,7 +237,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", 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"app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -827,7 +827,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "safetensors", "version": "0.4.5", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -847,7 +847,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "onnx", "version": "1.13.1", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -867,7 +867,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.sympy", "version": "1.13.3", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -887,7 +887,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "onnx-graphsurgeon", "version": "0.3.27", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } }, { @@ -927,7 +927,7 @@ "script_tags": "mlperf,benchmark-mlperf", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_offline,_cuda,_tensorrt,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_tensorrt,_offline,_bert-99.9,_cuda,_rtx_4090 )" } } ] diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/os_info.json b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/os_info.json index 22cb8d0e5..6478afcad 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/os_info.json +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/os_info.json @@ -26,5 +26,5 @@ ], "CM_HOST_PLATFORM_FLAVOR": "x86_64", "CM_HOST_PYTHON_BITS": "64", - "CM_HOST_SYSTEM_NAME": "3f9407b7d53a" + "CM_HOST_SYSTEM_NAME": "a29220344570" } \ No newline at end of file diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance_console.out b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance_console.out index 2d0790784..d8b8328a6 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance_console.out +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance_console.out @@ -1,7 +1,7 @@ -[2024-12-28 15:10:01,210 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 -[2024-12-28 15:10:01,994 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/Offline -[2024-12-28 15:10:01,994 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="PerformanceOnly" --gpu_batch_size=256 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=false --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/5c2ae1d9d13f4e8dae87c937566ddce6.conf" --gpu_inference_streams=2 --gpu_copy_streams=2 --gpu_engines="./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan" --scenario Offline --model bert -[2024-12-28 15:10:01,994 __init__.py:53 INFO] Overriding Environment +[2024-12-31 23:31:37,494 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 +[2024-12-31 23:31:38,016 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/Offline +[2024-12-31 23:31:38,016 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="PerformanceOnly" --gpu_batch_size=256 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=false --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/eac5f186c94b4c739271ddf55074dc8d.conf" --gpu_inference_streams=2 --gpu_copy_streams=2 --gpu_engines="./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan" --scenario Offline --model bert +[2024-12-31 23:31:38,016 __init__.py:53 INFO] Overriding Environment benchmark : Benchmark.BERT buffer_manager_thread_count : 0 coalesced_tensor : True @@ -11,8 +11,8 @@ gpu_copy_streams : 2 gpu_inference_streams : 2 input_dtype : int32 input_format : linear -log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.28-15.09.54 -mlperf_conf_path : /home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf +log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.31-23.31.25 +mlperf_conf_path : /home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf offline_expected_qps : 0.0 precision : fp16 preprocessed_data_dir : /home/cmuser/CM/repos/local/cache/a8c152aef5494496/preprocessed_data @@ -21,7 +21,7 @@ system : SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name='AM tensor_path : build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy test_mode : PerformanceOnly use_graphs : False -user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/5c2ae1d9d13f4e8dae87c937566ddce6.conf +user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/eac5f186c94b4c739271ddf55074dc8d.conf system_id : RTX4090x1 config_name : RTX4090x1_bert_Offline workload_setting : WorkloadSetting(HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP) @@ -34,41 +34,41 @@ skip_file_checks : True power_limit : None cpu_freq : None &&&& RUNNING BERT_HARNESS # ./build/bin/harness_bert -I1228 15:10:02.086019 18139 main_bert.cc:163] Found 1 GPUs -I1228 15:10:02.572196 18139 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan -[I] [TRT] Loaded engine size: 699 MiB -[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +6, GPU +10, now: CPU 863, GPU 1518 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +2, GPU +10, now: CPU 865, GPU 1528 (MiB) +I1231 23:31:38.081298 18133 main_bert.cc:163] Found 1 GPUs +I1231 23:31:38.479025 18133 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan +[I] [TRT] Loaded engine size: 700 MiB +[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +7, GPU +10, now: CPU 864, GPU 1518 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +10, now: CPU 865, GPU 1528 (MiB) [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +576, now: CPU 0, GPU 576 (MiB) -I1228 15:10:03.617784 18139 bert_server.cc:208] Engines Creation Completed -I1228 15:10:03.670189 18139 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 -I1228 15:10:03.670205 18139 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 -I1228 15:10:03.670212 18139 bert_core_vs.cc:415] Engine - Profile 0 maxDims 98304 Bmax=256 Smax=384 +I1231 23:31:39.028050 18133 bert_server.cc:208] Engines Creation Completed +I1231 23:31:39.061138 18133 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I1231 23:31:39.061151 18133 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I1231 23:31:39.061157 18133 bert_core_vs.cc:415] Engine - Profile 0 maxDims 98304 Bmax=256 Smax=384 [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 166, GPU 2866 (MiB) [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 166, GPU 2874 (MiB) -I1228 15:10:03.734536 18139 bert_core_vs.cc:426] Setting Opt.Prof. to 0 +I1231 23:31:39.117532 18133 bert_core_vs.cc:426] Setting Opt.Prof. to 0 [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +1, GPU +0, now: CPU 1, GPU 576 (MiB) -I1228 15:10:03.734568 18139 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 -I1228 15:10:03.735759 18139 bert_core_vs.cc:476] Setup complete -I1228 15:10:03.735932 18139 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 -I1228 15:10:03.735935 18139 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 -I1228 15:10:03.735939 18139 bert_core_vs.cc:415] Engine - Profile 1 maxDims 98304 Bmax=256 Smax=384 +I1231 23:31:39.117564 18133 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +I1231 23:31:39.118688 18133 bert_core_vs.cc:476] Setup complete +I1231 23:31:39.118857 18133 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I1231 23:31:39.118861 18133 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I1231 23:31:39.118865 18133 bert_core_vs.cc:415] Engine - Profile 1 maxDims 98304 Bmax=256 Smax=384 [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 289, GPU 4352 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +10, now: CPU 289, GPU 4362 (MiB) -I1228 15:10:03.799938 18139 bert_core_vs.cc:426] Setting Opt.Prof. to 1 +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +10, now: CPU 290, GPU 4362 (MiB) +I1231 23:31:39.173027 18133 bert_core_vs.cc:426] Setting Opt.Prof. to 1 [I] [TRT] Could not set default profile 0 for execution context. Profile index must be set explicitly. [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +0, now: CPU 1, GPU 576 (MiB) -I1228 15:10:03.800382 18139 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 -I1228 15:10:03.801424 18139 bert_core_vs.cc:476] Setup complete -I1228 15:10:04.392577 18139 main_bert.cc:184] Starting running actual test. -I1228 15:23:59.317888 18139 main_bert.cc:190] Finished running actual test. +I1231 23:31:39.173424 18133 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +I1231 23:31:39.174383 18133 bert_core_vs.cc:476] Setup complete +I1231 23:31:39.766331 18133 main_bert.cc:184] Starting running actual test. +I1231 23:50:33.682091 18133 main_bert.cc:190] Finished running actual test. ================================================ MLPerf Results Summary ================================================ SUT name : BERT SERVER Scenario : Offline Mode : PerformanceOnly -Samples per second: 1597.77 +Samples per second: 1176.59 Result is : VALID Min duration satisfied : Yes Min queries satisfied : Yes @@ -77,15 +77,15 @@ Result is : VALID ================================================ Additional Stats ================================================ -Min latency (ns) : 812824824 -Max latency (ns) : 834411405120 -Mean latency (ns) : 503753662401 -50.00 percentile latency (ns) : 539865258253 -90.00 percentile latency (ns) : 797438906788 -95.00 percentile latency (ns) : 819416885398 -97.00 percentile latency (ns) : 826602061300 -99.00 percentile latency (ns) : 832308391375 -99.90 percentile latency (ns) : 834279378356 +Min latency (ns) : 823480422 +Max latency (ns) : 1133103161948 +Mean latency (ns) : 672887563351 +50.00 percentile latency (ns) : 720365518801 +90.00 percentile latency (ns) : 1079094412632 +95.00 percentile latency (ns) : 1110423130068 +97.00 percentile latency (ns) : 1117982580502 +99.00 percentile latency (ns) : 1130128975645 +99.90 percentile latency (ns) : 1132863154011 ================================================ Test Parameters Used @@ -110,10 +110,10 @@ performance_issue_same : 0 performance_issue_same_index : 0 performance_sample_count : 10833 -1 warning encountered. See detailed log. +No warnings encountered during test. No errors encountered during test. -[2024-12-28 15:24:00,326 run_harness.py:166 INFO] Result: result_samples_per_second: 1597.77, Result is VALID +[2024-12-31 23:50:34,952 run_harness.py:166 INFO] Result: result_samples_per_second: 1176.59, Result is VALID ======================== Result summaries: ======================== diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/system_info.txt b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/system_info.txt index 335e5127e..29f7d396a 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/system_info.txt +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/system_info.txt @@ -2,10 +2,10 @@ Platform Details ------------------------------------------------------------ 1. uname -a -Linux 3f9407b7d53a 6.8.0-51-generic #52-Ubuntu SMP PREEMPT_DYNAMIC Thu Dec 5 13:09:44 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux +Linux a29220344570 6.8.0-51-generic #52-Ubuntu SMP PREEMPT_DYNAMIC Thu Dec 5 13:09:44 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux ------------------------------------------------------------ 2. w - 15:24:07 up 10 days, 1:17, 0 users, load average: 17.51, 20.03, 20.21 + 23:50:38 up 13 days, 9:43, 0 users, load average: 23.98, 28.59, 31.59 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -40,7 +40,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5380.410 +cpu MHz : 5339.561 cache size : 1024 KB physical id : 0 siblings : 32 @@ -68,7 +68,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5379.438 +cpu MHz : 5345.676 cache size : 1024 KB physical id : 0 siblings : 32 @@ -96,7 +96,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5407.465 +cpu MHz : 5343.841 cache size : 1024 KB physical id : 0 siblings : 32 @@ -124,7 +124,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3549.984 +cpu MHz : 5345.345 cache size : 1024 KB physical id : 0 siblings : 32 @@ -152,7 +152,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5368.342 +cpu MHz : 5262.553 cache size : 1024 KB physical id : 0 siblings : 32 @@ -180,7 +180,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4485.451 +cpu MHz : 5342.681 cache size : 1024 KB physical id : 0 siblings : 32 @@ -208,7 +208,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4858.919 +cpu MHz : 5353.815 cache size : 1024 KB physical id : 0 siblings : 32 @@ -236,7 +236,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5215.073 +cpu MHz : 5332.293 cache size : 1024 KB physical id : 0 siblings : 32 @@ -292,7 +292,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3453.611 +cpu MHz : 5155.528 cache size : 1024 KB physical id : 0 siblings : 32 @@ -320,7 +320,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5159.883 +cpu MHz : 3920.037 cache size : 1024 KB physical id : 0 siblings : 32 @@ -348,7 +348,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5072.668 +cpu MHz : 5157.553 cache size : 1024 KB physical id : 0 siblings : 32 @@ -376,7 +376,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5161.861 +cpu MHz : 5156.434 cache size : 1024 KB physical id : 0 siblings : 32 @@ -404,7 +404,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5162.560 +cpu MHz : 5161.641 cache size : 1024 KB physical id : 0 siblings : 32 @@ -432,7 +432,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5160.046 +cpu MHz : 5156.079 cache size : 1024 KB physical id : 0 siblings : 32 @@ -460,7 +460,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5064.758 +cpu MHz : 3690.774 cache size : 1024 KB physical id : 0 siblings : 32 @@ -488,7 +488,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5390.478 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -516,7 +516,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5299.107 +cpu MHz : 5227.329 cache size : 1024 KB physical id : 0 siblings : 32 @@ -544,7 +544,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5410.088 +cpu MHz : 5348.476 cache size : 1024 KB physical id : 0 siblings : 32 @@ -572,7 +572,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5373.811 +cpu MHz : 5317.986 cache size : 1024 KB physical id : 0 siblings : 32 @@ -600,7 +600,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5388.395 +cpu MHz : 5341.209 cache size : 1024 KB physical id : 0 siblings : 32 @@ -628,7 +628,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5344.731 cache size : 1024 KB physical id : 0 siblings : 32 @@ -656,7 +656,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5354.913 +cpu MHz : 5264.352 cache size : 1024 KB physical id : 0 siblings : 32 @@ -684,7 +684,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5356.864 +cpu MHz : 5299.265 cache size : 1024 KB physical id : 0 siblings : 32 @@ -712,7 +712,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5159.388 +cpu MHz : 5154.304 cache size : 1024 KB physical id : 0 siblings : 32 @@ -740,7 +740,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5014.592 cache size : 1024 KB physical id : 0 siblings : 32 @@ -768,7 +768,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5134.419 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -796,7 +796,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5161.641 +cpu MHz : 5072.302 cache size : 1024 KB physical id : 0 siblings : 32 @@ -824,7 +824,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5162.077 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -852,7 +852,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5156.312 +cpu MHz : 5159.562 cache size : 1024 KB physical id : 0 siblings : 32 @@ -880,7 +880,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5160.899 +cpu MHz : 4975.619 cache size : 1024 KB physical id : 0 siblings : 32 @@ -908,7 +908,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5155.477 +cpu MHz : 5103.138 cache size : 1024 KB physical id : 0 siblings : 32 @@ -946,7 +946,7 @@ CPU family: 25 Model: 97 Model name: AMD Ryzen 9 7950X 16-Core Processor Stepping: 2 -CPU MHz: 5391.574 +CPU MHz: 5357.578 CPU max MHz: 5881.0000 CPU min MHz: 400.0000 BogoMIPS: 8982.90 @@ -976,49 +976,49 @@ Flags: fpu vme de pse tsc msr pae mce cx8 apic se available: 1 nodes (0) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 node 0 size: 128007 MB -node 0 free: 902 MB +node 0 free: 1702 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo MemTotal: 131080068 kB -MemFree: 941688 kB -MemAvailable: 105903688 kB -Buffers: 15132 kB -Cached: 102905552 kB -SwapCached: 51668 kB -Active: 61892296 kB -Inactive: 57650612 kB -Active(anon): 7728204 kB -Inactive(anon): 8901988 kB -Active(file): 54164092 kB -Inactive(file): 48748624 kB +MemFree: 1743028 kB +MemAvailable: 45250512 kB +Buffers: 29852 kB +Cached: 43733952 kB +SwapCached: 290652 kB +Active: 87865324 kB +Inactive: 37322044 kB +Active(anon): 51973928 kB +Inactive(anon): 29458556 kB +Active(file): 35891396 kB +Inactive(file): 7863488 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 683591672 kB -SwapFree: 139789744 kB +SwapFree: 79764108 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 120 kB +Dirty: 136 kB Writeback: 0 kB -AnonPages: 16572448 kB -Mapped: 62813248 kB -Shmem: 6820 kB -KReclaimable: 3296772 kB -Slab: 3789732 kB -SReclaimable: 3296772 kB -SUnreclaim: 492960 kB -KernelStack: 20320 kB -PageTables: 5426912 kB +AnonPages: 81133288 kB +Mapped: 88980 kB +Shmem: 8920 kB +KReclaimable: 1114776 kB +Slab: 1616540 kB +SReclaimable: 1114776 kB +SUnreclaim: 501764 kB +KernelStack: 23088 kB +PageTables: 1436380 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 749131704 kB -Committed_AS: 569412988 kB +Committed_AS: 698790288 kB VmallocTotal: 34359738367 kB -VmallocUsed: 258912 kB +VmallocUsed: 261804 kB VmallocChunk: 0 kB Percpu: 38400 kB HardwareCorrupted: 0 kB @@ -1034,8 +1034,8 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 27222432 kB -DirectMap2M: 105117696 kB +DirectMap4k: 35457440 kB +DirectMap2M: 96882688 kB DirectMap1G: 2097152 kB ------------------------------------------------------------ 10. who -r @@ -1290,16 +1290,16 @@ dev.tty.ldisc_autoload = 1 dev.tty.legacy_tiocsti = 0 fs.aio-max-nr = 65536 fs.aio-nr = 0 -fs.dentry-state = 49550 16883 45 0 5522 0 +fs.dentry-state = 55983 22465 45 0 7745 0 fs.dir-notify-enable = 1 fs.epoll.max_user_watches = 29163675 fs.fanotify.max_queued_events = 16384 fs.fanotify.max_user_groups = 128 fs.fanotify.max_user_marks = 1048576 fs.file-max = 9223372036854775807 -fs.file-nr = 6272 0 9223372036854775807 -fs.inode-nr = 50456 6655 -fs.inode-state = 50456 6655 0 0 0 0 0 +fs.file-nr = 5760 0 9223372036854775807 +fs.inode-nr = 67514 16005 +fs.inode-state = 67514 16005 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 128 fs.inotify.max_user_watches = 65536 @@ -1327,7 +1327,7 @@ fs.quota.drops = 0 fs.quota.free_dquots = 0 fs.quota.lookups = 0 fs.quota.reads = 0 -fs.quota.syncs = 650 +fs.quota.syncs = 772 fs.quota.writes = 0 fs.suid_dumpable = 2 fs.verity.require_signatures = 0 @@ -1354,7 +1354,7 @@ kernel.ftrace_dump_on_oops = 0 kernel.ftrace_enabled = 1 kernel.hardlockup_all_cpu_backtrace = 0 kernel.hardlockup_panic = 0 -kernel.hostname = 3f9407b7d53a +kernel.hostname = a29220344570 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -1386,7 +1386,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 1 -kernel.ns_last_pid = 18486 +kernel.ns_last_pid = 18480 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -1417,13 +1417,13 @@ kernel.printk_devkmsg = on kernel.printk_ratelimit = 5 kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 -kernel.pty.nr = 14 +kernel.pty.nr = 19 kernel.pty.reserve = 1024 kernel.random.boot_id = d972d8ae-c9e1-46e1-875d-9f419475517a kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 325db2b0-f828-4be7-a219-334ea77a3127 +kernel.random.uuid = d85ca5d2-14b7-41cd-b34e-1cecf899e02e kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/README.md b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/README.md index b3c6c1657..1d124a8c5 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/README.md +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/README.md @@ -1,5 +1,3 @@ -This experiment is generated using the [MLCommons Collective Mind automation framework (CM)](https://github.com/mlcommons/cm4mlops). - *Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.* ## Host platform @@ -19,7 +17,7 @@ pip install -U cmind cm rm cache -f -cm pull repo mlcommons@mlperf-automations --checkout=467517e4a572872046058e394a0d83512cfff38b +cm pull repo mlcommons@mlperf-automations --checkout=48ea6b46a7606d1c5d74909e94d5599dbe7ff9e1 cm run script \ --tags=app,mlperf,inference,generic,_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r4.1-dev_default,_singlestream \ @@ -41,8 +39,8 @@ cm run script \ --env.CM_RUN_MLPERF_SUBMISSION_PREPROCESSOR=yes \ --env.CM_MLPERF_INFERENCE_PULL_CODE_CHANGES=yes \ --env.CM_MLPERF_INFERENCE_PULL_SRC_CHANGES=yes \ - --env.OUTPUT_BASE_DIR=/home/arjun/gh_action_results \ - --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/gh_action_submissions \ + --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.CM_MLPERF_SUBMITTER=MLCommons \ --env.CM_USE_DATASET_FROM_HOST=yes \ --env.CM_USE_MODEL_FROM_HOST=yes \ @@ -101,10 +99,7 @@ cm run script \ --v=False \ --print_env=False \ --print_deps=False \ - --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 + --dump_version_info=True ``` *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:* @@ -123,7 +118,7 @@ Platform: RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config Model Precision: fp16 ### Accuracy Results -`F1`: `90.87504`, Required accuracy for closed division `>= 90.78313` +`F1`: `90.8811`, Required accuracy for closed division `>= 90.78313` ### Performance Results -`90th percentile latency (ns)`: `2163963.0` +`90th percentile latency (ns)`: `2169561.0` diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy_console.out b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy_console.out index ca62a7b34..260d6063d 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy_console.out +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy_console.out @@ -1,7 +1,7 @@ -[2024-12-28 14:49:30,279 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 -[2024-12-28 14:49:30,590 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/SingleStream -[2024-12-28 14:49:30,591 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="AccuracyOnly" --gpu_batch_size=1 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=true --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/353ce5daa45044a8a7bc919a49bfe8e2.conf" --gpu_inference_streams=1 --gpu_copy_streams=1 --gpu_engines="./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan" --scenario SingleStream --model bert -[2024-12-28 14:49:30,591 __init__.py:53 INFO] Overriding Environment +[2024-12-31 21:51:21,272 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 +[2024-12-31 21:51:21,604 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/SingleStream +[2024-12-31 21:51:21,604 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="AccuracyOnly" --gpu_batch_size=1 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=true --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/60b2bfb288ae4a0cbb35f18fbb07ec84.conf" --gpu_inference_streams=1 --gpu_copy_streams=1 --gpu_engines="./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan" --scenario SingleStream --model bert +[2024-12-31 21:51:21,604 __init__.py:53 INFO] Overriding Environment benchmark : Benchmark.BERT buffer_manager_thread_count : 0 coalesced_tensor : True @@ -11,8 +11,8 @@ gpu_copy_streams : 1 gpu_inference_streams : 1 input_dtype : int32 input_format : linear -log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.28-14.49.20 -mlperf_conf_path : /home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf +log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.31-21.51.12 +mlperf_conf_path : /home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf precision : fp16 preprocessed_data_dir : /home/cmuser/CM/repos/local/cache/a8c152aef5494496/preprocessed_data scenario : Scenario.SingleStream @@ -22,7 +22,7 @@ tensor_path : build/preprocessed_data/squad_tokenized/input_ids.npy,build/prepro test_mode : AccuracyOnly use_graphs : True use_small_tile_gemm_plugin : False -user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/353ce5daa45044a8a7bc919a49bfe8e2.conf +user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/60b2bfb288ae4a0cbb35f18fbb07ec84.conf system_id : RTX4090x1 config_name : RTX4090x1_bert_SingleStream workload_setting : WorkloadSetting(HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP) @@ -35,33 +35,33 @@ skip_file_checks : True power_limit : None cpu_freq : None &&&& RUNNING BERT_HARNESS # ./build/bin/harness_bert -I1228 14:49:30.649015 13619 main_bert.cc:163] Found 1 GPUs -I1228 14:49:31.047439 13619 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan +I1231 21:51:21.674099 13613 main_bert.cc:163] Found 1 GPUs +I1231 21:51:22.114126 13613 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan [I] [TRT] Loaded engine size: 638 MiB [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +6, GPU +10, now: CPU 740, GPU 1456 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +10, now: CPU 741, GPU 1466 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +2, GPU +10, now: CPU 742, GPU 1466 (MiB) [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +576, now: CPU 0, GPU 576 (MiB) -I1228 14:49:33.077337 13619 bert_server.cc:208] Engines Creation Completed -I1228 14:49:33.128324 13619 bert_server.cc:213] Use CUDA graphs -I1228 14:49:33.128599 13619 bert_core_vs.cc:385] Engine - Device Memory requirements: 8652288 -I1228 14:49:33.128604 13619 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 1 -I1228 14:49:33.128610 13619 bert_core_vs.cc:415] Engine - Profile 0 maxDims 384 Bmax=1 Smax=384 +I1231 21:51:23.645587 13613 bert_server.cc:208] Engines Creation Completed +I1231 21:51:23.710988 13613 bert_server.cc:213] Use CUDA graphs +I1231 21:51:23.711416 13613 bert_core_vs.cc:385] Engine - Device Memory requirements: 8652288 +I1231 21:51:23.711422 13613 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 1 +I1231 21:51:23.711431 13613 bert_core_vs.cc:415] Engine - Profile 0 maxDims 384 Bmax=1 Smax=384 [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 103, GPU 1468 (MiB) [I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +8, now: CPU 104, GPU 1476 (MiB) -I1228 14:49:33.163067 13619 bert_core_vs.cc:426] Setting Opt.Prof. to 0 +I1231 21:51:23.754655 13613 bert_core_vs.cc:426] Setting Opt.Prof. to 0 [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +0, now: CPU 0, GPU 576 (MiB) -I1228 14:49:33.163093 13619 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 1 -I1228 14:49:33.163321 13619 bert_core_vs.cc:476] Setup complete -I1228 14:49:33.520229 13626 bert_core_vs.cc:352] Created 96 CUDA graphs -I1228 14:49:33.522558 13619 main_bert.cc:184] Starting running actual test. -I1228 14:49:50.322993 13619 main_bert.cc:190] Finished running actual test. +I1231 21:51:23.754686 13613 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 1 +I1231 21:51:23.754932 13613 bert_core_vs.cc:476] Setup complete +I1231 21:51:24.099010 13620 bert_core_vs.cc:352] Created 96 CUDA graphs +I1231 21:51:24.101261 13613 main_bert.cc:184] Starting running actual test. +I1231 21:51:40.712201 13613 main_bert.cc:190] Finished running actual test. No warnings encountered during test. No errors encountered during test. -[2024-12-28 14:49:51,411 run_harness.py:166 INFO] Result: Accuracy run detected. -[2024-12-28 14:49:51,411 __init__.py:46 INFO] Running command: PYTHONPATH=code/bert/tensorrt/helpers python3 /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/language/bert/accuracy-squad.py --log_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/mlperf_log_accuracy.json --vocab_file build/models/bert/vocab.txt --val_data /home/cmuser/CM/repos/local/cache/a8c152aef5494496/data/squad/dev-v1.1.json --out_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/predictions.json --output_dtype float16 -{"exact_match": 83.66130558183538, "f1": 90.87503735756627} +[2024-12-31 21:51:41,200 run_harness.py:166 INFO] Result: Accuracy run detected. +[2024-12-31 21:51:41,200 __init__.py:46 INFO] Running command: PYTHONPATH=code/bert/tensorrt/helpers python3 /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/language/bert/accuracy-squad.py --log_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/mlperf_log_accuracy.json --vocab_file build/models/bert/vocab.txt --val_data /home/cmuser/CM/repos/local/cache/a8c152aef5494496/data/squad/dev-v1.1.json --out_file /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/predictions.json --output_dtype float16 +{"exact_match": 83.69914853358561, "f1": 90.88109554940347} Reading examples... No cached features at 'eval_features.pickle'... converting from examples... Creating tokenizer... diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.mmd b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.mmd index 392b0a35a..c6436ae66 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.mmd +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.mmd @@ -33,28 +33,28 @@ graph TD download-and-extract,c67e81a4ce2649f5_(_wget,_url.https://zenodo.org/record/3733868/files/vocab.txt_) --> download,file,_wget,_url.https://zenodo.org/record/3733868/files/vocab.txt get-dataset-squad-vocab,e38874fff5094577 --> download-and-extract,_wget,_url.https://zenodo.org/record/3733868/files/vocab.txt app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r4.1-dev_default,_singlestream_) --> get,dataset-aux,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,mlperf,inference,nvidia,scratch,space + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,mlperf,inference,nvidia,scratch,space get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_mlperf_logging download-file,9cdc8dc41aae437e_(_cmutil,_url.https://armi.in/files/model.onnx_) --> detect,os download-and-extract,c67e81a4ce2649f5_(_url.https://armi.in/files/model.onnx_) --> download,file,_cmutil,_url.https://armi.in/files/model.onnx get-ml-model-bert-large-squad,5e865dbdc65949d2_(_onnx,_fp32_) --> download-and-extract,_url.https://armi.in/files/model.onnx get-ml-model-bert-large-squad,5e865dbdc65949d2_(_onnx,_fp32_) --> get,dataset-aux,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,ml-model,bert,_onnx,_fp32 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,ml-model,bert,_onnx,_fp32 download-file,9cdc8dc41aae437e_(_cmutil,_url.https://zenodo.org/record/3750364/files/bert_large_v1_1_fake_quant.onnx_) --> detect,os download-and-extract,c67e81a4ce2649f5_(_url.https://zenodo.org/record/3750364/files/bert_large_v1_1_fake_quant.onnx_) --> download,file,_cmutil,_url.https://zenodo.org/record/3750364/files/bert_large_v1_1_fake_quant.onnx get-ml-model-bert-large-squad,5e865dbdc65949d2_(_onnx,_int8_) --> download-and-extract,_url.https://zenodo.org/record/3750364/files/bert_large_v1_1_fake_quant.onnx get-ml-model-bert-large-squad,5e865dbdc65949d2_(_onnx,_int8_) --> get,dataset-aux,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,ml-model,bert,_onnx,_int8 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,mlcommons,inference,src,_deeplearningexamples - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,ml-model,bert,_onnx,_int8 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,mlcommons,inference,src,_deeplearningexamples + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_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 @@ -62,9 +62,9 @@ graph TD generate-mlperf-inference-user-conf,3af4475745964b93 --> get,mlcommons,inference,src,_deeplearningexamples 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,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> generate,user-conf,mlperf,inference + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> generate,user-conf,mlperf,inference get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_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 @@ -77,9 +77,9 @@ 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,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,nvidia,mitten - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,cuda,_cudnn - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_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 @@ -137,95 +137,95 @@ 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,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> build,nvidia,inference,server,_mlcommons - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_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,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_fp32 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_int8 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,mlcommons,inference,src,_deeplearningexamples - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_fp32 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_int8 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,mlcommons,inference,src,_deeplearningexamples + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> pull,git,repo get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,nvidia,mitten - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,cuda,_cudnn - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,tensorrt - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> build,nvidia,inference,server,_mlcommons - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> detect,cpu - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,sys-utils-cm - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.4_0 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_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,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_fp32 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_int8 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,squad-vocab - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,mlcommons,inference,src,_deeplearningexamples - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_fp32 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,ml-model,bert,_onnx,_int8 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,mlcommons,inference,src,_deeplearningexamples + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,nvidia,mlperf,inference,common-code,_mlcommons pull-git-repo,c23132ed65c4421d --> detect,os - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> pull,git,repo + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> pull,git,repo get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,nvidia,mitten + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,nvidia,mitten get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> get,generic-python-lib,_pip - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,generic-python-lib,_safetensors + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,generic-python-lib,_safetensors get-generic-python-lib,94b62a682bc44791_(_onnx_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_onnx_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_onnx_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_onnx_) --> get,generic-python-lib,_pip - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> detect,os detect-cpu,586c8a43320142f7 --> detect,os get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> detect,cpu get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_pip_) --> get,python3 get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> get,generic-python-lib,_pip - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.sympy + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.sympy get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev_) --> save,mlperf,inference,state - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev_) --> save,mlperf,inference,state + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_safetensors + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_safetensors get-generic-python-lib,94b62a682bc44791_(_onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.sympy + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_package.sympy get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev_) --> save,mlperf,inference,state - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_build_engine,_bert-99.9,_cuda,_tensorrt,_singlestream,_batch_size.1,_bert_,_v4.1-dev - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_bert-99.9,_cuda,_tensorrt,_bert_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev_) --> save,mlperf,inference,state + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_build_engine,_singlestream,_bert-99.9,_tensorrt,_cuda,_batch_size.1,_bert_,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_bert-99.9,_tensorrt,_cuda,_bert_,_v4.1-dev get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,generic-python-lib,_transformers + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_transformers get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,generic-python-lib,_safetensors + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_safetensors get-generic-python-lib,94b62a682bc44791_(_onnx_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,generic-python-lib,_onnx + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_onnx get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,generic-python-lib,_package.sympy + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_package.sympy get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> get,generic-python-lib,_onnx-graphsurgeon detect-cpu,586c8a43320142f7 --> detect,os benchmark-program,19f369ef47084895 --> detect,cpu benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program - app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090_) --> benchmark-mlperf \ No newline at end of file + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090_) --> benchmark-mlperf \ No newline at end of file diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.png b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.png index be56853ef..ba202193b 100644 Binary files a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.png and b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-deps.png differ diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-version-info.json b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-version-info.json index 5c2d712ba..d5bbac0f9 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-version-info.json +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/cm-version-info.json @@ -347,7 +347,7 @@ "script_tags": "detect-os,detect,os,info", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -367,7 +367,7 @@ "script_tags": "detect,cpu,detect-cpu,info", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -377,7 +377,7 @@ "script_tags": "get,sys-utils-cm", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -387,7 +387,7 @@ "script_tags": "get,mlperf,inference,nvidia,scratch,space", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -407,7 +407,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "mlperf_logging", "version": "4.1.1", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -457,7 +457,7 @@ "script_tags": "get,ml-model,raw,bert,bert-large,bert-squad,language,language-processing", "script_variations": "onnx,fp32", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -507,7 +507,7 @@ "script_tags": "get,ml-model,raw,bert,bert-large,bert-squad,language,language-processing", "script_variations": "onnx,int8", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -517,7 +517,7 @@ "script_tags": "get,aux,squad,dataset-aux,language-processing,squad-aux,vocab,squad-vocab", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -527,7 +527,7 @@ "script_tags": "get,src,source,inference,inference-src,inference-source,mlperf,mlcommons", "script_variations": "deeplearningexamples", "version": "master-git-2fdb814e6a765d994872fb99ee38f8c43418d5b0", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -537,7 +537,7 @@ "script_tags": "get,nvidia,mlperf,inference,common-code", "script_variations": "mlcommons", "version": "r4.0", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -557,7 +557,7 @@ "script_tags": "pull,git,repo,repository", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -637,7 +637,7 @@ "script_tags": 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"app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -2197,7 +2197,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "safetensors", "version": "0.4.5", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -2217,7 +2217,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "onnx", "version": "1.13.1", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -2237,7 +2237,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "package.sympy", "version": "1.13.3", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -2257,7 +2257,7 @@ "script_tags": "get,install,generic,pip-package,generic-python-lib", "script_variations": "onnx-graphsurgeon", "version": "0.3.27", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } }, { @@ -2297,7 +2297,7 @@ "script_tags": "mlperf,benchmark-mlperf", "script_variations": "", "version": "", - "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_bert-99.9,_cuda,_tensorrt,_singlestream,_rtx_4090 )" + "parent": "app-mlperf-inference-nvidia,bc3b17fb430f4732 ( run_harness,_singlestream,_bert-99.9,_tensorrt,_cuda,_rtx_4090 )" } } ] diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/os_info.json b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/os_info.json index 22cb8d0e5..6478afcad 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/os_info.json +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/os_info.json @@ -26,5 +26,5 @@ ], "CM_HOST_PLATFORM_FLAVOR": "x86_64", "CM_HOST_PYTHON_BITS": "64", - "CM_HOST_SYSTEM_NAME": "3f9407b7d53a" + "CM_HOST_SYSTEM_NAME": "a29220344570" } \ No newline at end of file diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance_console.out b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance_console.out index b1a768cc5..7be2c7397 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance_console.out +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance_console.out @@ -1,7 +1,7 @@ -[2024-12-28 14:35:24,721 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 -[2024-12-28 14:35:25,040 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/SingleStream -[2024-12-28 14:35:25,041 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance/run_1" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="PerformanceOnly" --gpu_batch_size=1 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=true --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/9cdf31bcd8c645b5963375b499ac2182.conf" --gpu_inference_streams=1 --gpu_copy_streams=1 --gpu_engines="./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan" --scenario SingleStream --model bert -[2024-12-28 14:35:25,041 __init__.py:53 INFO] Overriding Environment +[2024-12-31 20:49:35,904 main.py:229 INFO] Detected system ID: KnownSystem.RTX4090x1 +[2024-12-31 20:49:36,222 generate_conf_files.py:107 INFO] Generated measurements/ entries for RTX4090x1_TRT/bert-99.9/SingleStream +[2024-12-31 20:49:36,222 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance/run_1" --logfile_prefix="mlperf_log_" --performance_sample_count=10833 --test_mode="PerformanceOnly" --gpu_batch_size=1 --mlperf_conf_path="/home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf" --tensor_path="build/preprocessed_data/squad_tokenized/input_ids.npy,build/preprocessed_data/squad_tokenized/segment_ids.npy,build/preprocessed_data/squad_tokenized/input_mask.npy" --use_graphs=true --user_conf_path="/home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/f788d4ba4c0c4dd1baea217d3d496940.conf" --gpu_inference_streams=1 --gpu_copy_streams=1 --gpu_engines="./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan" --scenario SingleStream --model bert +[2024-12-31 20:49:36,222 __init__.py:53 INFO] Overriding Environment benchmark : Benchmark.BERT buffer_manager_thread_count : 0 coalesced_tensor : True @@ -11,8 +11,8 @@ gpu_copy_streams : 1 gpu_inference_streams : 1 input_dtype : int32 input_format : linear -log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.28-14.35.19 -mlperf_conf_path : /home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/mlperf.conf +log_dir : /home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/logs/2024.12.31-20.49.34 +mlperf_conf_path : /home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/mlperf.conf precision : fp16 preprocessed_data_dir : /home/cmuser/CM/repos/local/cache/a8c152aef5494496/preprocessed_data scenario : Scenario.SingleStream @@ -22,7 +22,7 @@ tensor_path : build/preprocessed_data/squad_tokenized/input_ids.npy,build/prepro test_mode : PerformanceOnly use_graphs : True use_small_tile_gemm_plugin : False -user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/9cdf31bcd8c645b5963375b499ac2182.conf +user_conf_path : /home/cmuser/CM/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/f788d4ba4c0c4dd1baea217d3d496940.conf system_id : RTX4090x1 config_name : RTX4090x1_bert_SingleStream workload_setting : WorkloadSetting(HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP) @@ -35,58 +35,58 @@ skip_file_checks : True power_limit : None cpu_freq : None &&&& RUNNING BERT_HARNESS # ./build/bin/harness_bert -I1228 14:35:25.106890 10481 main_bert.cc:163] Found 1 GPUs -I1228 14:35:25.515650 10481 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan +I1231 20:49:36.283025 10481 main_bert.cc:163] Found 1 GPUs +I1231 20:49:36.699986 10481 bert_server.cc:147] Engine Path: ./build/engines/RTX4090x1/bert/SingleStream/bert-SingleStream-gpu-fp16_S_384_B_1_P_1_vs.custom_k_99_9_MaxP.plan [I] [TRT] Loaded engine size: 638 MiB [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +6, GPU +10, now: CPU 740, GPU 1456 (MiB) -[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +10, now: CPU 741, GPU 1466 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +2, GPU +10, now: CPU 742, GPU 1466 (MiB) [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +576, now: CPU 0, GPU 576 (MiB) -I1228 14:35:25.987287 10481 bert_server.cc:208] Engines Creation Completed -I1228 14:35:26.031383 10481 bert_server.cc:213] Use CUDA graphs -I1228 14:35:26.031579 10481 bert_core_vs.cc:385] Engine - Device Memory requirements: 8652288 -I1228 14:35:26.031582 10481 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 1 -I1228 14:35:26.031587 10481 bert_core_vs.cc:415] Engine - Profile 0 maxDims 384 Bmax=1 Smax=384 +I1231 20:49:37.133580 10481 bert_server.cc:208] Engines Creation Completed +I1231 20:49:37.165242 10481 bert_server.cc:213] Use CUDA graphs +I1231 20:49:37.165441 10481 bert_core_vs.cc:385] Engine - Device Memory requirements: 8652288 +I1231 20:49:37.165445 10481 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 1 +I1231 20:49:37.165450 10481 bert_core_vs.cc:415] Engine - Profile 0 maxDims 384 Bmax=1 Smax=384 [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +8, now: CPU 103, GPU 1468 (MiB) [I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +8, now: CPU 104, GPU 1476 (MiB) -I1228 14:35:26.063943 10481 bert_core_vs.cc:426] Setting Opt.Prof. to 0 +I1231 20:49:37.200336 10481 bert_core_vs.cc:426] Setting Opt.Prof. to 0 [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +0, now: CPU 0, GPU 576 (MiB) -I1228 14:35:26.063969 10481 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 1 -I1228 14:35:26.064275 10481 bert_core_vs.cc:476] Setup complete -I1228 14:35:26.349676 10488 bert_core_vs.cc:352] Created 96 CUDA graphs -I1228 14:35:26.351835 10481 main_bert.cc:184] Starting running actual test. -I1228 14:47:00.434363 10481 main_bert.cc:190] Finished running actual test. +I1231 20:49:37.200372 10481 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 1 +I1231 20:49:37.200592 10481 bert_core_vs.cc:476] Setup complete +I1231 20:49:37.486073 10488 bert_core_vs.cc:352] Created 96 CUDA graphs +I1231 20:49:37.488246 10481 main_bert.cc:184] Starting running actual test. +I1231 21:07:36.469553 10481 main_bert.cc:190] Finished running actual test. ================================================ MLPerf Results Summary ================================================ SUT name : BERT SERVER Scenario : SingleStream Mode : PerformanceOnly -90th percentile latency (ns) : 2163092 +90th percentile latency (ns) : 2168729 Result is : VALID Min duration satisfied : Yes Min queries satisfied : Yes Early stopping satisfied: Yes Early Stopping Result: - * Processed at least 64 queries (319523). - * Would discard 31556 highest latency queries. - * Early stopping 90th percentile estimate: 2163963 - * Early stopping 99th percentile estimate: 2619474 + * Processed at least 64 queries (365018). + * Would discard 36079 highest latency queries. + * Early stopping 90th percentile estimate: 2169561 + * Early stopping 99th percentile estimate: 2630381 ================================================ Additional Stats ================================================ -QPS w/ loadgen overhead : 531.71 -QPS w/o loadgen overhead : 575.21 +QPS w/ loadgen overhead : 608.36 +QPS w/o loadgen overhead : 637.00 -Min latency (ns) : 1163975 -Max latency (ns) : 3115127401 -Mean latency (ns) : 1738498 -50.00 percentile latency (ns) : 1426155 -90.00 percentile latency (ns) : 2163092 -95.00 percentile latency (ns) : 2482478 -97.00 percentile latency (ns) : 2600078 -99.00 percentile latency (ns) : 2618573 -99.90 percentile latency (ns) : 7318994 +Min latency (ns) : 1166839 +Max latency (ns) : 1908648866 +Mean latency (ns) : 1569848 +50.00 percentile latency (ns) : 1428015 +90.00 percentile latency (ns) : 2168729 +95.00 percentile latency (ns) : 2492494 +97.00 percentile latency (ns) : 2609993 +99.00 percentile latency (ns) : 2629640 +99.90 percentile latency (ns) : 4032849 ================================================ Test Parameters Used @@ -114,7 +114,7 @@ performance_sample_count : 10833 No warnings encountered during test. No errors encountered during test. -[2024-12-28 14:48:07,835 run_harness.py:166 INFO] Result: result_90.00_percentile_latency_ns: 2163092, Result is VALID +[2024-12-31 21:09:30,829 run_harness.py:166 INFO] Result: result_90.00_percentile_latency_ns: 2168729, Result is VALID ======================== Result summaries: ======================== diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/system_info.txt b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/system_info.txt index ba77ae498..79f21d130 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/system_info.txt +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/system_info.txt @@ -2,10 +2,10 @@ Platform Details ------------------------------------------------------------ 1. uname -a -Linux 3f9407b7d53a 6.8.0-51-generic #52-Ubuntu SMP PREEMPT_DYNAMIC Thu Dec 5 13:09:44 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux +Linux a29220344570 6.8.0-51-generic #52-Ubuntu SMP PREEMPT_DYNAMIC Thu Dec 5 13:09:44 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux ------------------------------------------------------------ 2. w - 14:48:42 up 10 days, 41 min, 0 users, load average: 19.41, 20.55, 20.78 + 21:15:10 up 13 days, 7:08, 0 users, load average: 25.13, 29.55, 31.24 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -40,7 +40,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3401.007 +cpu MHz : 5323.547 cache size : 1024 KB physical id : 0 siblings : 32 @@ -68,7 +68,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3453.124 +cpu MHz : 5444.242 cache size : 1024 KB physical id : 0 siblings : 32 @@ -96,7 +96,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5465.417 +cpu MHz : 5458.471 cache size : 1024 KB physical id : 0 siblings : 32 @@ -124,7 +124,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3812.368 +cpu MHz : 5403.496 cache size : 1024 KB physical id : 0 siblings : 32 @@ -152,7 +152,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3356.776 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -180,7 +180,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5460.333 +cpu MHz : 5450.228 cache size : 1024 KB physical id : 0 siblings : 32 @@ -208,7 +208,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3793.089 +cpu MHz : 5451.510 cache size : 1024 KB physical id : 0 siblings : 32 @@ -236,7 +236,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5336.683 +cpu MHz : 5162.358 cache size : 1024 KB physical id : 0 siblings : 32 @@ -264,7 +264,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4296.538 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -292,7 +292,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5248.418 cache size : 1024 KB physical id : 0 siblings : 32 @@ -320,7 +320,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4431.151 +cpu MHz : 5227.938 cache size : 1024 KB physical id : 0 siblings : 32 @@ -348,7 +348,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5268.833 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -376,7 +376,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3742.514 +cpu MHz : 5220.560 cache size : 1024 KB physical id : 0 siblings : 32 @@ -404,7 +404,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3616.067 +cpu MHz : 5251.755 cache size : 1024 KB physical id : 0 siblings : 32 @@ -432,7 +432,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3461.010 +cpu MHz : 5250.810 cache size : 1024 KB physical id : 0 siblings : 32 @@ -460,7 +460,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4222.319 +cpu MHz : 5252.625 cache size : 1024 KB physical id : 0 siblings : 32 @@ -488,7 +488,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5403.179 +cpu MHz : 5460.214 cache size : 1024 KB physical id : 0 siblings : 32 @@ -516,7 +516,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5455.821 cache size : 1024 KB physical id : 0 siblings : 32 @@ -544,7 +544,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5471.348 +cpu MHz : 5452.759 cache size : 1024 KB physical id : 0 siblings : 32 @@ -572,7 +572,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4372.055 +cpu MHz : 5461.342 cache size : 1024 KB physical id : 0 siblings : 32 @@ -600,7 +600,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5438.514 +cpu MHz : 5454.076 cache size : 1024 KB physical id : 0 siblings : 32 @@ -628,7 +628,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5351.914 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -656,7 +656,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3321.379 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -684,7 +684,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4092.791 +cpu MHz : 5193.787 cache size : 1024 KB physical id : 0 siblings : 32 @@ -712,7 +712,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4405.930 +cpu MHz : 5248.773 cache size : 1024 KB physical id : 0 siblings : 32 @@ -740,7 +740,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5262.852 +cpu MHz : 5236.153 cache size : 1024 KB physical id : 0 siblings : 32 @@ -768,7 +768,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5212.754 cache size : 1024 KB physical id : 0 siblings : 32 @@ -796,7 +796,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5257.667 cache size : 1024 KB physical id : 0 siblings : 32 @@ -824,7 +824,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5248.733 cache size : 1024 KB physical id : 0 siblings : 32 @@ -852,7 +852,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3733.153 +cpu MHz : 5255.035 cache size : 1024 KB physical id : 0 siblings : 32 @@ -880,7 +880,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5220.365 cache size : 1024 KB physical id : 0 siblings : 32 @@ -908,7 +908,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5250.725 cache size : 1024 KB physical id : 0 siblings : 32 @@ -946,7 +946,7 @@ CPU family: 25 Model: 97 Model name: AMD Ryzen 9 7950X 16-Core Processor Stepping: 2 -CPU MHz: 3401.007 +CPU MHz: 5323.547 CPU max MHz: 5881.0000 CPU min MHz: 400.0000 BogoMIPS: 8982.90 @@ -976,49 +976,49 @@ Flags: fpu vme de pse tsc msr pae mce cx8 apic se available: 1 nodes (0) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 node 0 size: 128007 MB -node 0 free: 1039 MB +node 0 free: 900 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo MemTotal: 131080068 kB -MemFree: 1064692 kB -MemAvailable: 108215092 kB -Buffers: 31276 kB -Cached: 105236896 kB -SwapCached: 22368 kB -Active: 74842588 kB -Inactive: 44700200 kB -Active(anon): 11230228 kB -Inactive(anon): 3051812 kB -Active(file): 63612360 kB -Inactive(file): 41648388 kB +MemFree: 922932 kB +MemAvailable: 33409724 kB +Buffers: 39560 kB +Cached: 32559280 kB +SwapCached: 277564 kB +Active: 82558208 kB +Inactive: 43427232 kB +Active(anon): 64927868 kB +Inactive(anon): 28467288 kB +Active(file): 17630340 kB +Inactive(file): 14959944 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 683591672 kB -SwapFree: 137328984 kB +SwapFree: 91871628 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 22040 kB -Writeback: 0 kB -AnonPages: 14254116 kB -Mapped: 48137576 kB -Shmem: 7352 kB -KReclaimable: 3292788 kB -Slab: 3781468 kB -SReclaimable: 3292788 kB -SUnreclaim: 488680 kB -KernelStack: 20384 kB -PageTables: 5427136 kB +Dirty: 22384 kB +Writeback: 36 kB +AnonPages: 93109728 kB +Mapped: 96908 kB +Shmem: 8556 kB +KReclaimable: 1143996 kB +Slab: 1645192 kB +SReclaimable: 1143996 kB +SUnreclaim: 501196 kB +KernelStack: 23072 kB +PageTables: 1436592 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 749131704 kB -Committed_AS: 569308396 kB +Committed_AS: 698756700 kB VmallocTotal: 34359738367 kB -VmallocUsed: 258976 kB +VmallocUsed: 261836 kB VmallocChunk: 0 kB Percpu: 38400 kB HardwareCorrupted: 0 kB @@ -1034,8 +1034,8 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 25766304 kB -DirectMap2M: 106573824 kB +DirectMap4k: 35226016 kB +DirectMap2M: 97114112 kB DirectMap1G: 2097152 kB ------------------------------------------------------------ 10. who -r @@ -1290,16 +1290,16 @@ dev.tty.ldisc_autoload = 1 dev.tty.legacy_tiocsti = 0 fs.aio-max-nr = 65536 fs.aio-nr = 0 -fs.dentry-state = 68931 37281 45 0 30128 0 +fs.dentry-state = 187067 114685 45 0 52668 0 fs.dir-notify-enable = 1 fs.epoll.max_user_watches = 29163675 fs.fanotify.max_queued_events = 16384 fs.fanotify.max_user_groups = 128 fs.fanotify.max_user_marks = 1048576 fs.file-max = 9223372036854775807 -fs.file-nr = 6400 0 9223372036854775807 -fs.inode-nr = 40330 1579 -fs.inode-state = 40330 1579 0 0 0 0 0 +fs.file-nr = 5824 0 9223372036854775807 +fs.inode-nr = 148231 14265 +fs.inode-state = 148231 14265 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 128 fs.inotify.max_user_watches = 65536 @@ -1327,7 +1327,7 @@ fs.quota.drops = 0 fs.quota.free_dquots = 0 fs.quota.lookups = 0 fs.quota.reads = 0 -fs.quota.syncs = 650 +fs.quota.syncs = 772 fs.quota.writes = 0 fs.suid_dumpable = 2 fs.verity.require_signatures = 0 @@ -1354,7 +1354,7 @@ kernel.ftrace_dump_on_oops = 0 kernel.ftrace_enabled = 1 kernel.hardlockup_all_cpu_backtrace = 0 kernel.hardlockup_panic = 0 -kernel.hostname = 3f9407b7d53a +kernel.hostname = a29220344570 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -1417,13 +1417,13 @@ kernel.printk_devkmsg = on kernel.printk_ratelimit = 5 kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 -kernel.pty.nr = 14 +kernel.pty.nr = 19 kernel.pty.reserve = 1024 kernel.random.boot_id = d972d8ae-c9e1-46e1-875d-9f419475517a kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = ca39584c-3a63-497a-b3e4-0d87106420e6 +kernel.random.uuid = 2baf3453-9e61-4df8-8918-683e9aa35b20 kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 diff --git a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/system_info.txt b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/system_info.txt index 335e5127e..29f7d396a 100644 --- a/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/system_info.txt +++ b/open/MLCommons/measurements/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/system_info.txt @@ -2,10 +2,10 @@ Platform Details ------------------------------------------------------------ 1. uname -a -Linux 3f9407b7d53a 6.8.0-51-generic #52-Ubuntu SMP PREEMPT_DYNAMIC Thu Dec 5 13:09:44 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux +Linux a29220344570 6.8.0-51-generic #52-Ubuntu SMP PREEMPT_DYNAMIC Thu Dec 5 13:09:44 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux ------------------------------------------------------------ 2. w - 15:24:07 up 10 days, 1:17, 0 users, load average: 17.51, 20.03, 20.21 + 23:50:38 up 13 days, 9:43, 0 users, load average: 23.98, 28.59, 31.59 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT ------------------------------------------------------------ 3. Username @@ -40,7 +40,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5380.410 +cpu MHz : 5339.561 cache size : 1024 KB physical id : 0 siblings : 32 @@ -68,7 +68,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5379.438 +cpu MHz : 5345.676 cache size : 1024 KB physical id : 0 siblings : 32 @@ -96,7 +96,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5407.465 +cpu MHz : 5343.841 cache size : 1024 KB physical id : 0 siblings : 32 @@ -124,7 +124,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3549.984 +cpu MHz : 5345.345 cache size : 1024 KB physical id : 0 siblings : 32 @@ -152,7 +152,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5368.342 +cpu MHz : 5262.553 cache size : 1024 KB physical id : 0 siblings : 32 @@ -180,7 +180,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4485.451 +cpu MHz : 5342.681 cache size : 1024 KB physical id : 0 siblings : 32 @@ -208,7 +208,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 4858.919 +cpu MHz : 5353.815 cache size : 1024 KB physical id : 0 siblings : 32 @@ -236,7 +236,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5215.073 +cpu MHz : 5332.293 cache size : 1024 KB physical id : 0 siblings : 32 @@ -292,7 +292,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 3453.611 +cpu MHz : 5155.528 cache size : 1024 KB physical id : 0 siblings : 32 @@ -320,7 +320,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5159.883 +cpu MHz : 3920.037 cache size : 1024 KB physical id : 0 siblings : 32 @@ -348,7 +348,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5072.668 +cpu MHz : 5157.553 cache size : 1024 KB physical id : 0 siblings : 32 @@ -376,7 +376,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5161.861 +cpu MHz : 5156.434 cache size : 1024 KB physical id : 0 siblings : 32 @@ -404,7 +404,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5162.560 +cpu MHz : 5161.641 cache size : 1024 KB physical id : 0 siblings : 32 @@ -432,7 +432,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5160.046 +cpu MHz : 5156.079 cache size : 1024 KB physical id : 0 siblings : 32 @@ -460,7 +460,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5064.758 +cpu MHz : 3690.774 cache size : 1024 KB physical id : 0 siblings : 32 @@ -488,7 +488,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5390.478 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -516,7 +516,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5299.107 +cpu MHz : 5227.329 cache size : 1024 KB physical id : 0 siblings : 32 @@ -544,7 +544,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5410.088 +cpu MHz : 5348.476 cache size : 1024 KB physical id : 0 siblings : 32 @@ -572,7 +572,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5373.811 +cpu MHz : 5317.986 cache size : 1024 KB physical id : 0 siblings : 32 @@ -600,7 +600,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5388.395 +cpu MHz : 5341.209 cache size : 1024 KB physical id : 0 siblings : 32 @@ -628,7 +628,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5344.731 cache size : 1024 KB physical id : 0 siblings : 32 @@ -656,7 +656,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5354.913 +cpu MHz : 5264.352 cache size : 1024 KB physical id : 0 siblings : 32 @@ -684,7 +684,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5356.864 +cpu MHz : 5299.265 cache size : 1024 KB physical id : 0 siblings : 32 @@ -712,7 +712,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5159.388 +cpu MHz : 5154.304 cache size : 1024 KB physical id : 0 siblings : 32 @@ -740,7 +740,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 400.000 +cpu MHz : 5014.592 cache size : 1024 KB physical id : 0 siblings : 32 @@ -768,7 +768,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5134.419 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -796,7 +796,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5161.641 +cpu MHz : 5072.302 cache size : 1024 KB physical id : 0 siblings : 32 @@ -824,7 +824,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5162.077 +cpu MHz : 400.000 cache size : 1024 KB physical id : 0 siblings : 32 @@ -852,7 +852,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5156.312 +cpu MHz : 5159.562 cache size : 1024 KB physical id : 0 siblings : 32 @@ -880,7 +880,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5160.899 +cpu MHz : 4975.619 cache size : 1024 KB physical id : 0 siblings : 32 @@ -908,7 +908,7 @@ model : 97 model name : AMD Ryzen 9 7950X 16-Core Processor stepping : 2 microcode : 0xa601206 -cpu MHz : 5155.477 +cpu MHz : 5103.138 cache size : 1024 KB physical id : 0 siblings : 32 @@ -946,7 +946,7 @@ CPU family: 25 Model: 97 Model name: AMD Ryzen 9 7950X 16-Core Processor Stepping: 2 -CPU MHz: 5391.574 +CPU MHz: 5357.578 CPU max MHz: 5881.0000 CPU min MHz: 400.0000 BogoMIPS: 8982.90 @@ -976,49 +976,49 @@ Flags: fpu vme de pse tsc msr pae mce cx8 apic se available: 1 nodes (0) node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 node 0 size: 128007 MB -node 0 free: 902 MB +node 0 free: 1702 MB node distances: node 0 0: 10 ------------------------------------------------------------ 9. /proc/meminfo MemTotal: 131080068 kB -MemFree: 941688 kB -MemAvailable: 105903688 kB -Buffers: 15132 kB -Cached: 102905552 kB -SwapCached: 51668 kB -Active: 61892296 kB -Inactive: 57650612 kB -Active(anon): 7728204 kB -Inactive(anon): 8901988 kB -Active(file): 54164092 kB -Inactive(file): 48748624 kB +MemFree: 1743028 kB +MemAvailable: 45250512 kB +Buffers: 29852 kB +Cached: 43733952 kB +SwapCached: 290652 kB +Active: 87865324 kB +Inactive: 37322044 kB +Active(anon): 51973928 kB +Inactive(anon): 29458556 kB +Active(file): 35891396 kB +Inactive(file): 7863488 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 683591672 kB -SwapFree: 139789744 kB +SwapFree: 79764108 kB Zswap: 0 kB Zswapped: 0 kB -Dirty: 120 kB +Dirty: 136 kB Writeback: 0 kB -AnonPages: 16572448 kB -Mapped: 62813248 kB -Shmem: 6820 kB -KReclaimable: 3296772 kB -Slab: 3789732 kB -SReclaimable: 3296772 kB -SUnreclaim: 492960 kB -KernelStack: 20320 kB -PageTables: 5426912 kB +AnonPages: 81133288 kB +Mapped: 88980 kB +Shmem: 8920 kB +KReclaimable: 1114776 kB +Slab: 1616540 kB +SReclaimable: 1114776 kB +SUnreclaim: 501764 kB +KernelStack: 23088 kB +PageTables: 1436380 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 749131704 kB -Committed_AS: 569412988 kB +Committed_AS: 698790288 kB VmallocTotal: 34359738367 kB -VmallocUsed: 258912 kB +VmallocUsed: 261804 kB VmallocChunk: 0 kB Percpu: 38400 kB HardwareCorrupted: 0 kB @@ -1034,8 +1034,8 @@ HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB -DirectMap4k: 27222432 kB -DirectMap2M: 105117696 kB +DirectMap4k: 35457440 kB +DirectMap2M: 96882688 kB DirectMap1G: 2097152 kB ------------------------------------------------------------ 10. who -r @@ -1290,16 +1290,16 @@ dev.tty.ldisc_autoload = 1 dev.tty.legacy_tiocsti = 0 fs.aio-max-nr = 65536 fs.aio-nr = 0 -fs.dentry-state = 49550 16883 45 0 5522 0 +fs.dentry-state = 55983 22465 45 0 7745 0 fs.dir-notify-enable = 1 fs.epoll.max_user_watches = 29163675 fs.fanotify.max_queued_events = 16384 fs.fanotify.max_user_groups = 128 fs.fanotify.max_user_marks = 1048576 fs.file-max = 9223372036854775807 -fs.file-nr = 6272 0 9223372036854775807 -fs.inode-nr = 50456 6655 -fs.inode-state = 50456 6655 0 0 0 0 0 +fs.file-nr = 5760 0 9223372036854775807 +fs.inode-nr = 67514 16005 +fs.inode-state = 67514 16005 0 0 0 0 0 fs.inotify.max_queued_events = 16384 fs.inotify.max_user_instances = 128 fs.inotify.max_user_watches = 65536 @@ -1327,7 +1327,7 @@ fs.quota.drops = 0 fs.quota.free_dquots = 0 fs.quota.lookups = 0 fs.quota.reads = 0 -fs.quota.syncs = 650 +fs.quota.syncs = 772 fs.quota.writes = 0 fs.suid_dumpable = 2 fs.verity.require_signatures = 0 @@ -1354,7 +1354,7 @@ kernel.ftrace_dump_on_oops = 0 kernel.ftrace_enabled = 1 kernel.hardlockup_all_cpu_backtrace = 0 kernel.hardlockup_panic = 0 -kernel.hostname = 3f9407b7d53a +kernel.hostname = a29220344570 kernel.hotplug = kernel.hung_task_all_cpu_backtrace = 0 kernel.hung_task_check_count = 4194304 @@ -1386,7 +1386,7 @@ kernel.msgmnb = 16384 kernel.msgmni = 32000 kernel.ngroups_max = 65536 kernel.nmi_watchdog = 1 -kernel.ns_last_pid = 18486 +kernel.ns_last_pid = 18480 kernel.numa_balancing = 0 kernel.numa_balancing_promote_rate_limit_MBps = 65536 kernel.oops_all_cpu_backtrace = 0 @@ -1417,13 +1417,13 @@ kernel.printk_devkmsg = on kernel.printk_ratelimit = 5 kernel.printk_ratelimit_burst = 10 kernel.pty.max = 4096 -kernel.pty.nr = 14 +kernel.pty.nr = 19 kernel.pty.reserve = 1024 kernel.random.boot_id = d972d8ae-c9e1-46e1-875d-9f419475517a kernel.random.entropy_avail = 256 kernel.random.poolsize = 256 kernel.random.urandom_min_reseed_secs = 60 -kernel.random.uuid = 325db2b0-f828-4be7-a219-334ea77a3127 +kernel.random.uuid = d85ca5d2-14b7-41cd-b34e-1cecf899e02e kernel.random.write_wakeup_threshold = 256 kernel.randomize_va_space = 2 kernel.real-root-dev = 0 diff --git a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/accuracy.txt b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/accuracy.txt index 7392da691..aceac055b 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/accuracy.txt +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/accuracy.txt @@ -1,8 +1,8 @@ -{"exact_match": 83.6802270577105, "f1": 90.88066528372401} +{"exact_match": 83.67076631977294, "f1": 90.8832407068292} Reading examples... -Loading cached features from '/home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/language/bert/eval_features.pickle'... +Loading cached features from '/home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/language/bert/eval_features.pickle'... Loading LoadGen logs... Post-processing predictions... Writing predictions to: /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/predictions.json Evaluating predictions... -hash=aa23c64069d2a53a03cca98dfb7327fc49b567631ce675ba7f7b78d18951cc5a +hash=8bfd2d36d9b6df7d76456eb4c474ec5125acdfa167397c945f23e64c7eff6b96 diff --git a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_accuracy.json b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_accuracy.json index 508c66cea..71c84abf4 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_accuracy.json +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_accuracy.json @@ -1,18 +1,16 @@ [ -{ "seq_id" : 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"/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/logging.cc", "line_no": 1155, "pid": 19726, "tid": 19732}} +:::MLLOG {"key": "warning_generic_message", "value": "Logging allocation detected: tid: 19733 reserved_entries: 1024 max_entries: 4207", "time_ms": 21273.874179, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": true, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/logging.cc", "line_no": 814, "pid": 19726, "tid": 19726}} +:::MLLOG {"key": "warning_generic_message", "value": "Logging allocation detected: tid: 19732 reserved_entries: 1024 max_entries: 6144", "time_ms": 21273.874179, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": true, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/logging.cc", "line_no": 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+:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 3796, "time_ms": 21273.874179, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/logging.cc", "line_no": 906, "pid": 19726, "tid": 19726}} +:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 21273.874179, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/logging.cc", "line_no": 908, "pid": 19726, "tid": 19726}} +:::MLLOG {"key": "power_begin", "value": "01-01-2025 07:51:21.276", "time_ms": 21273.874670, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/loadgen.cc", "line_no": 564, "pid": 19726, "tid": 19726}} +:::MLLOG {"key": "power_end", "value": "01-01-2025 07:51:34.719", "time_ms": 21273.874670, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/loadgen.cc", "line_no": 566, "pid": 19726, "tid": 19726}} diff --git a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_summary.txt b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_summary.txt index a05d86571..da86354ab 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_summary.txt +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/mlperf_log_summary.txt @@ -1,4 +1,4 @@ -No warnings encountered during test. +3797 warnings encountered. See detailed log. No errors encountered during test. diff --git a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_detail.txt b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_detail.txt index 84adbd41e..a26485074 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_detail.txt +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_detail.txt @@ -1,86 +1,85 @@ -:::MLLOG {"key": "loadgen_version", "value": "4.0 @ 486a629ea4", "time_ms": 0.004669, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": 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a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_summary.txt index 3b9912df2..34c4eaa16 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_summary.txt +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/performance/run_1/mlperf_log_summary.txt @@ -4,7 +4,7 @@ MLPerf Results Summary SUT name : BERT SERVER Scenario : Offline Mode : PerformanceOnly -Samples per second: 1597.77 +Samples per second: 1176.59 Result is : VALID Min duration satisfied : Yes Min queries satisfied : Yes @@ -13,15 +13,15 @@ Result is : VALID ================================================ Additional Stats ================================================ -Min latency (ns) : 812824824 -Max latency (ns) : 834411405120 -Mean latency (ns) : 503753662401 -50.00 percentile latency (ns) : 539865258253 -90.00 percentile latency (ns) : 797438906788 -95.00 percentile latency (ns) : 819416885398 -97.00 percentile latency (ns) : 826602061300 -99.00 percentile latency (ns) : 832308391375 -99.90 percentile latency (ns) : 834279378356 +Min latency (ns) : 823480422 +Max latency (ns) : 1133103161948 +Mean latency (ns) : 672887563351 +50.00 percentile latency (ns) : 720365518801 +90.00 percentile latency (ns) : 1079094412632 +95.00 percentile latency (ns) : 1110423130068 +97.00 percentile latency (ns) : 1117982580502 +99.00 percentile latency (ns) : 1130128975645 +99.90 percentile latency (ns) : 1132863154011 ================================================ Test Parameters Used @@ -46,6 +46,6 @@ performance_issue_same : 0 performance_issue_same_index : 0 performance_sample_count : 10833 -1 warning encountered. See detailed log. +No warnings encountered during test. No errors encountered during test. diff --git a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/accuracy.txt b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/accuracy.txt index cfa0cce2b..9224e6918 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/accuracy.txt +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/accuracy.txt @@ -1,11 +1,11 @@ -{"exact_match": 83.66130558183538, "f1": 90.87503735756627} +{"exact_match": 83.69914853358561, "f1": 90.88109554940347} Reading examples... -No cached features at '/home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/language/bert/eval_features.pickle'... converting from examples... +No cached features at '/home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/language/bert/eval_features.pickle'... converting from examples... Creating tokenizer... Converting examples to features... -Caching features at '/home/cmuser/CM/repos/local/cache/85453ba5383a47d1/inference/language/bert/eval_features.pickle'... +Caching features at '/home/cmuser/CM/repos/local/cache/551e61f86b914205/inference/language/bert/eval_features.pickle'... Loading LoadGen logs... Post-processing predictions... Writing predictions to: /cm-mount/home/arjun/gh_action_results/valid_results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/predictions.json Evaluating predictions... -hash=09b1d7b4f93cfffb7991ab5cdea9da029c8aeb3b0acc465599efa50dcb04993b +hash=45441ca2345eb8d2e6c047bd5b39dd5a1483a4af1f9f1e31a74855345b8da8e2 diff --git a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/mlperf_log_accuracy.json b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/mlperf_log_accuracy.json index 95262d7cf..b3627b9ea 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/mlperf_log_accuracy.json +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/accuracy/mlperf_log_accuracy.json @@ -1,13 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"mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 679, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_qps_with_loadgen_overhead", "value": 608.36, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 702, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_qps_without_loadgen_overhead", "value": 637.004, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 703, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "early_stopping_latency_ss", "value": 2169561, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 704, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "early_stopping_latency_ms", "value": 2630381, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 706, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_min_latency_ns", "value": 1166839, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 741, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_max_latency_ns", "value": 1908648866, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 742, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_mean_latency_ns", "value": 1569848, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 743, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 1428015, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 745, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 2168729, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 745, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 2492494, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 745, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 2609993, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 745, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 2629640, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 745, "pid": 10481, "tid": 10481}} +:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 4032849, "time_ms": 1078840.842616, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/cmuser/CM/repos/local/cache/ba8d5f2a6bc546f9/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 745, "pid": 10481, "tid": 10481}} diff --git a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance/run_1/mlperf_log_summary.txt index 41a189f31..f540be4bf 100644 --- a/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance/run_1/mlperf_log_summary.txt +++ b/open/MLCommons/results/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/singlestream/performance/run_1/mlperf_log_summary.txt @@ -4,32 +4,32 @@ MLPerf Results Summary SUT name : BERT SERVER Scenario : SingleStream Mode : PerformanceOnly -90th percentile latency (ns) : 2163092 +90th percentile latency (ns) : 2168729 Result is : VALID Min duration satisfied : Yes Min queries satisfied : Yes Early stopping satisfied: Yes Early Stopping Result: - * Processed at least 64 queries (319523). - * Would discard 31556 highest latency queries. - * Early stopping 90th percentile estimate: 2163963 - * Early stopping 99th percentile estimate: 2619474 + * Processed at least 64 queries (365018). + * Would discard 36079 highest latency queries. + * Early stopping 90th percentile estimate: 2169561 + * Early stopping 99th percentile estimate: 2630381 ================================================ Additional Stats ================================================ -QPS w/ loadgen overhead : 531.71 -QPS w/o loadgen overhead : 575.21 +QPS w/ loadgen overhead : 608.36 +QPS w/o loadgen overhead : 637.00 -Min latency (ns) : 1163975 -Max latency (ns) : 3115127401 -Mean latency (ns) : 1738498 -50.00 percentile latency (ns) : 1426155 -90.00 percentile latency (ns) : 2163092 -95.00 percentile latency (ns) : 2482478 -97.00 percentile latency (ns) : 2600078 -99.00 percentile latency (ns) : 2618573 -99.90 percentile latency (ns) : 7318994 +Min latency (ns) : 1166839 +Max latency (ns) : 1908648866 +Mean latency (ns) : 1569848 +50.00 percentile latency (ns) : 1428015 +90.00 percentile latency (ns) : 2168729 +95.00 percentile latency (ns) : 2492494 +97.00 percentile latency (ns) : 2609993 +99.00 percentile latency (ns) : 2629640 +99.90 percentile latency (ns) : 4032849 ================================================ Test Parameters Used diff --git a/open/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json b/open/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json index 496e98183..6b7aa5459 100644 --- a/open/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json +++ b/open/MLCommons/systems/RTX4090x1-nvidia_original-gpu-tensorrt-vdefault-default_config.json @@ -1,9 +1,9 @@ { - "accelerator_frequency": "2520000 MHz", + "accelerator_frequency": "2610000 MHz", "accelerator_host_interconnect": "N/A", "accelerator_interconnect": "N/A", "accelerator_interconnect_topology": "", - "accelerator_memory_capacity": "23.64971923828125 GB", + "accelerator_memory_capacity": "23.54595947265625 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: 576 KiB, L1i cache: 384 KiB, L2 cache: 24 MiB, L3 cache: ", - "host_processor_core_count": "24", - "host_processor_frequency": "5800.0000", + "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_interconnect": "", - "host_processor_model_name": "13th Gen Intel(R) Core(TM) i9-13900K", + "host_processor_model_name": "AMD Ryzen 9 7950X 16-Core Processor", "host_processors_per_node": "1", - "host_storage_capacity": "9.4T", + "host_storage_capacity": "6.8T", "host_storage_type": "SSD", "hw_notes": "", "number_of_nodes": "1", - "operating_system": "Ubuntu 20.04 (linux-6.8.0-49-generic-glibc2.31)", + "operating_system": "Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31)", "other_software_stack": "Python: 3.8.10, GCC-9.4.0, Using Docker , CUDA 12.2", "status": "available", "submitter": "MLCommons",