From 1bf8573551203fc3aa070e305a86e5a99a514a94 Mon Sep 17 00:00:00 2001 From: Arjun Suresh Date: Sun, 2 Feb 2025 09:25:45 +0530 Subject: [PATCH] Results from GH action on NVIDIA_RTX4090x2 --- closed/MLCommons/code/bert-99.9/README.md | 1 + closed/MLCommons/code/bert-99/README.md | 1 + .../offline/TEST01/accuracy/accuracy.txt | 2 + .../TEST01/accuracy/baseline_accuracy.txt | 10 + .../TEST01/accuracy/compliance_accuracy.txt | 7 + .../TEST01/accuracy/mlperf_log_accuracy.json | 18 + .../performance/run_1/mlperf_log_detail.txt | 88 + .../performance/run_1/mlperf_log_summary.txt | 51 + .../offline/TEST01/verify_accuracy.txt | 12 + .../offline/TEST01/verify_performance.txt | 4 + .../singlestream/TEST01/accuracy/accuracy.txt | 2 + .../TEST01/accuracy/mlperf_log_accuracy.json | 11 + .../performance/run_1/mlperf_log_detail.txt | 92 + .../performance/run_1/mlperf_log_summary.txt | 59 + .../singlestream/TEST01/verify_accuracy.txt | 12 + .../TEST01/verify_performance.txt | 4 + 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create mode 100644 closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/performance/run_1/mlperf_log_detail.txt create mode 100644 closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/performance/run_1/mlperf_log_summary.txt diff --git a/closed/MLCommons/code/bert-99.9/README.md b/closed/MLCommons/code/bert-99.9/README.md new file mode 100644 index 000000000..2fd9f9570 --- /dev/null +++ b/closed/MLCommons/code/bert-99.9/README.md @@ -0,0 +1 @@ +TBD \ No newline at end of file diff --git a/closed/MLCommons/code/bert-99/README.md b/closed/MLCommons/code/bert-99/README.md new file mode 100644 index 000000000..2fd9f9570 --- /dev/null +++ b/closed/MLCommons/code/bert-99/README.md @@ -0,0 +1 @@ +TBD \ No newline at end of file diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/accuracy.txt new file mode 100644 index 000000000..83c9d0385 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/accuracy.txt @@ -0,0 +1,2 @@ + +hash=35db7a03c67c29becaa3263e5d287b1031864f223d313450b22fb18cf48a84a8 diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/baseline_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/baseline_accuracy.txt new file mode 100644 index 000000000..a1f1005e1 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/baseline_accuracy.txt @@ -0,0 +1,10 @@ +{"exact_match": 25.960264900662253, "f1": 28.345945349642122} +Reading examples... +No cached features at 'eval_features.pickle'... converting from examples... +Creating tokenizer... +Converting examples to features... +Caching features at 'eval_features.pickle'... +Loading LoadGen logs... +Post-processing predictions... +Writing predictions to: predictions.json +Evaluating predictions... diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/compliance_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/compliance_accuracy.txt new file mode 100644 index 000000000..c0bc6cec8 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/compliance_accuracy.txt @@ -0,0 +1,7 @@ +{"exact_match": 25.960264900662253, "f1": 28.345945349642122} +Reading examples... +Loading cached features from 'eval_features.pickle'... +Loading LoadGen logs... +Post-processing predictions... +Writing predictions to: predictions.json +Evaluating predictions... diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/mlperf_log_accuracy.json b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/mlperf_log_accuracy.json new file mode 100644 index 000000000..a0350f237 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/accuracy/mlperf_log_accuracy.json @@ -0,0 +1,18 @@ +[ +{ "seq_id" : 402376, "qsl_idx" : 4201, "data" : 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"/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 20549, "tid": 20549}} diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/performance/run_1/mlperf_log_summary.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/performance/run_1/mlperf_log_summary.txt new file mode 100644 index 000000000..28509831f --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/performance/run_1/mlperf_log_summary.txt @@ -0,0 +1,51 @@ +================================================ +MLPerf Results Summary +================================================ +SUT name : BERT SERVER +Scenario : Offline +Mode : PerformanceOnly +Samples per second: 3329.31 +Result is : VALID + Min duration satisfied : Yes + Min queries satisfied : Yes + Early stopping satisfied: Yes + +================================================ +Additional Stats +================================================ +Min latency (ns) : 1149390628 +Max latency (ns) : 667141156558 +Mean latency (ns) : 403325233877 +50.00 percentile latency (ns) : 429455065877 +90.00 percentile latency (ns) : 636160704566 +95.00 percentile latency (ns) : 654564440126 +97.00 percentile latency (ns) : 660582964130 +99.00 percentile latency (ns) : 665358746838 +99.90 percentile latency (ns) : 667001952672 + +================================================ +Test Parameters Used +================================================ +samples_per_query : 2221117 +target_qps : 3365.33 +target_latency (ns): 0 +max_async_queries : 1 +min_duration (ms): 600000 +max_duration (ms): 0 +min_query_count : 1 +max_query_count : 0 +qsl_rng_seed : 6023615788873153749 +sample_index_rng_seed : 15036839855038426416 +schedule_rng_seed : 9933818062894767841 +accuracy_log_rng_seed : 720381539243781796 +accuracy_log_probability : 0 +accuracy_log_sampling_target : 4096 +print_timestamps : 0 +performance_issue_unique : 0 +performance_issue_same : 0 +performance_issue_same_index : 0 +performance_sample_count : 10833 + +1 warning encountered. See detailed log. + +No errors encountered during test. diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/verify_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/verify_accuracy.txt new file mode 100644 index 000000000..8f28eddf9 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/verify_accuracy.txt @@ -0,0 +1,12 @@ +Verifying accuracy. This might take a while... +Reading accuracy mode results... +Reading performance mode results... +num_acc_log_entries = 10833 +num_acc_log_duplicate_keys = 0 +num_acc_log_data_mismatch = 0 +num_perf_log_entries = 4085 +num_perf_log_qsl_idx_match = 4085 +num_perf_log_data_mismatch = 51 +num_missing_qsl_idxs = 0 +TEST FAIL + diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/verify_performance.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/verify_performance.txt new file mode 100644 index 000000000..89d650fba --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/TEST01/verify_performance.txt @@ -0,0 +1,4 @@ +Verifying performance. +reference score = 3332.01 +test score = 3329.31 +TEST PASS diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/accuracy/accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/accuracy/accuracy.txt new file mode 100644 index 000000000..dfa197692 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/accuracy/accuracy.txt @@ -0,0 +1,2 @@ + +hash=8fc90737f9ae1234daaa9f03db7b400fae351bef18b74274522bf220323ed737 diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/accuracy/mlperf_log_accuracy.json b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/accuracy/mlperf_log_accuracy.json new file mode 100644 index 000000000..854028fb1 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/accuracy/mlperf_log_accuracy.json @@ -0,0 +1,11 @@ +[ +{ "seq_id" : 446, "qsl_idx" : 4334, "data" : 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"/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 736, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "early_stopping_latency_ss", "value": 2169583, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 737, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "early_stopping_latency_ms", "value": 2637852, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 739, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_min_latency_ns", "value": 1166039, "time_ms": 600931.773408, 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"pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 1437568, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 2168651, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 2321822, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 2609757, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 2637407, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 2661419, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/performance/run_1/mlperf_log_summary.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/performance/run_1/mlperf_log_summary.txt new file mode 100644 index 000000000..aa5a9feb0 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/performance/run_1/mlperf_log_summary.txt @@ -0,0 +1,59 @@ +================================================ +MLPerf Results Summary +================================================ +SUT name : BERT SERVER +Scenario : SingleStream +Mode : PerformanceOnly +90th percentile latency (ns) : 2168651 +Result is : VALID + Min duration satisfied : Yes + Min queries satisfied : Yes + Early stopping satisfied: Yes +Early Stopping Result: + * Processed at least 64 queries (392387). + * Would discard 38800 highest latency queries. + * Early stopping 90th percentile estimate: 2169583 + * Early stopping 99th percentile estimate: 2637852 + +================================================ +Additional Stats +================================================ +QPS w/ loadgen overhead : 653.98 +QPS w/o loadgen overhead : 656.68 + +Min latency (ns) : 1166039 +Max latency (ns) : 3143287 +Mean latency (ns) : 1522817 +50.00 percentile latency (ns) : 1437568 +90.00 percentile latency (ns) : 2168651 +95.00 percentile latency (ns) : 2321822 +97.00 percentile latency (ns) : 2609757 +99.00 percentile latency (ns) : 2637407 +99.90 percentile latency (ns) : 2661419 + +================================================ +Test Parameters Used +================================================ +samples_per_query : 1 +target_qps : 1643.27 +target_latency (ns): 0 +max_async_queries : 1 +min_duration (ms): 600000 +max_duration (ms): 660000 +min_query_count : 100 +max_query_count : 0 +qsl_rng_seed : 6023615788873153749 +sample_index_rng_seed : 15036839855038426416 +schedule_rng_seed : 9933818062894767841 +accuracy_log_rng_seed : 720381539243781796 +accuracy_log_probability : 0 +accuracy_log_sampling_target : 4096 +print_timestamps : 0 +performance_issue_unique : 0 +performance_issue_same : 0 +performance_issue_same_index : 0 +performance_sample_count : 10833 + +1 warning encountered. See detailed log. + +No errors encountered during test. diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/verify_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/verify_accuracy.txt new file mode 100644 index 000000000..c85a2b7ab --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/verify_accuracy.txt @@ -0,0 +1,12 @@ +Verifying accuracy. This might take a while... +Reading accuracy mode results... +Reading performance mode results... +num_acc_log_entries = 10833 +num_acc_log_duplicate_keys = 0 +num_acc_log_data_mismatch = 0 +num_perf_log_entries = 1625 +num_perf_log_qsl_idx_match = 1625 +num_perf_log_data_mismatch = 0 +num_missing_qsl_idxs = 0 +TEST PASS + diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/verify_performance.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/verify_performance.txt new file mode 100644 index 000000000..96decd86c --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream/TEST01/verify_performance.txt @@ -0,0 +1,4 @@ +Verifying performance. +reference score = 2167999 +test score = 2169583 +TEST PASS diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/accuracy.txt new file mode 100644 index 000000000..83c9d0385 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/accuracy.txt @@ -0,0 +1,2 @@ + +hash=35db7a03c67c29becaa3263e5d287b1031864f223d313450b22fb18cf48a84a8 diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/baseline_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/baseline_accuracy.txt new file mode 100644 index 000000000..a1f1005e1 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/baseline_accuracy.txt @@ -0,0 +1,10 @@ +{"exact_match": 25.960264900662253, "f1": 28.345945349642122} +Reading examples... +No cached features at 'eval_features.pickle'... converting from examples... +Creating tokenizer... +Converting examples to features... +Caching features at 'eval_features.pickle'... +Loading LoadGen logs... +Post-processing predictions... +Writing predictions to: predictions.json +Evaluating predictions... diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/compliance_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/compliance_accuracy.txt new file mode 100644 index 000000000..c0bc6cec8 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/compliance_accuracy.txt @@ -0,0 +1,7 @@ +{"exact_match": 25.960264900662253, "f1": 28.345945349642122} +Reading examples... +Loading cached features from 'eval_features.pickle'... +Loading LoadGen logs... +Post-processing predictions... +Writing predictions to: predictions.json +Evaluating predictions... diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/mlperf_log_accuracy.json b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/mlperf_log_accuracy.json new file mode 100644 index 000000000..a0350f237 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/accuracy/mlperf_log_accuracy.json @@ -0,0 +1,18 @@ +[ +{ "seq_id" : 402376, "qsl_idx" : 4201, "data" : 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"/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 20549, "tid": 20549}} diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/performance/run_1/mlperf_log_summary.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/performance/run_1/mlperf_log_summary.txt new file mode 100644 index 000000000..28509831f --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/performance/run_1/mlperf_log_summary.txt @@ -0,0 +1,51 @@ +================================================ +MLPerf Results Summary +================================================ +SUT name : BERT SERVER +Scenario : Offline +Mode : PerformanceOnly +Samples per second: 3329.31 +Result is : VALID + Min duration satisfied : Yes + Min queries satisfied : Yes + Early stopping satisfied: Yes + +================================================ +Additional Stats +================================================ +Min latency (ns) : 1149390628 +Max latency (ns) : 667141156558 +Mean latency (ns) : 403325233877 +50.00 percentile latency (ns) : 429455065877 +90.00 percentile latency (ns) : 636160704566 +95.00 percentile latency (ns) : 654564440126 +97.00 percentile latency (ns) : 660582964130 +99.00 percentile latency (ns) : 665358746838 +99.90 percentile latency (ns) : 667001952672 + +================================================ +Test Parameters Used +================================================ +samples_per_query : 2221117 +target_qps : 3365.33 +target_latency (ns): 0 +max_async_queries : 1 +min_duration (ms): 600000 +max_duration (ms): 0 +min_query_count : 1 +max_query_count : 0 +qsl_rng_seed : 6023615788873153749 +sample_index_rng_seed : 15036839855038426416 +schedule_rng_seed : 9933818062894767841 +accuracy_log_rng_seed : 720381539243781796 +accuracy_log_probability : 0 +accuracy_log_sampling_target : 4096 +print_timestamps : 0 +performance_issue_unique : 0 +performance_issue_same : 0 +performance_issue_same_index : 0 +performance_sample_count : 10833 + +1 warning encountered. See detailed log. + +No errors encountered during test. diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/verify_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/verify_accuracy.txt new file mode 100644 index 000000000..8f28eddf9 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/verify_accuracy.txt @@ -0,0 +1,12 @@ +Verifying accuracy. This might take a while... +Reading accuracy mode results... +Reading performance mode results... +num_acc_log_entries = 10833 +num_acc_log_duplicate_keys = 0 +num_acc_log_data_mismatch = 0 +num_perf_log_entries = 4085 +num_perf_log_qsl_idx_match = 4085 +num_perf_log_data_mismatch = 51 +num_missing_qsl_idxs = 0 +TEST FAIL + diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/verify_performance.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/verify_performance.txt new file mode 100644 index 000000000..89d650fba --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline/TEST01/verify_performance.txt @@ -0,0 +1,4 @@ +Verifying performance. +reference score = 3332.01 +test score = 3329.31 +TEST PASS diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/accuracy/accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/accuracy/accuracy.txt new file mode 100644 index 000000000..dfa197692 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/accuracy/accuracy.txt @@ -0,0 +1,2 @@ + +hash=8fc90737f9ae1234daaa9f03db7b400fae351bef18b74274522bf220323ed737 diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/accuracy/mlperf_log_accuracy.json b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/accuracy/mlperf_log_accuracy.json new file mode 100644 index 000000000..854028fb1 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/accuracy/mlperf_log_accuracy.json @@ -0,0 +1,11 @@ +[ +{ "seq_id" : 446, "qsl_idx" : 4334, "data" : 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"result_query_count", "value": 392387, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 712, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_qps_with_loadgen_overhead", "value": 653.976, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 735, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_qps_without_loadgen_overhead", "value": 656.678, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 736, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "early_stopping_latency_ss", "value": 2169583, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 737, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "early_stopping_latency_ms", "value": 2637852, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 739, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_min_latency_ns", "value": 1166039, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 774, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_max_latency_ns", "value": 3143287, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 775, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_mean_latency_ns", "value": 1522817, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 776, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 1437568, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 2168651, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 2321822, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 2609757, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 2637407, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} +:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 2661419, "time_ms": 600931.773408, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "/home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/loadgen/results.cc", "line_no": 778, "pid": 14666, "tid": 14666}} diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/performance/run_1/mlperf_log_summary.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/performance/run_1/mlperf_log_summary.txt new file mode 100644 index 000000000..aa5a9feb0 --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/performance/run_1/mlperf_log_summary.txt @@ -0,0 +1,59 @@ +================================================ +MLPerf Results Summary +================================================ +SUT name : BERT SERVER +Scenario : SingleStream +Mode : PerformanceOnly +90th percentile latency (ns) : 2168651 +Result is : VALID + Min duration satisfied : Yes + Min queries satisfied : Yes + Early stopping satisfied: Yes +Early Stopping Result: + * Processed at least 64 queries (392387). + * Would discard 38800 highest latency queries. + * Early stopping 90th percentile estimate: 2169583 + * Early stopping 99th percentile estimate: 2637852 + +================================================ +Additional Stats +================================================ +QPS w/ loadgen overhead : 653.98 +QPS w/o loadgen overhead : 656.68 + +Min latency (ns) : 1166039 +Max latency (ns) : 3143287 +Mean latency (ns) : 1522817 +50.00 percentile latency (ns) : 1437568 +90.00 percentile latency (ns) : 2168651 +95.00 percentile latency (ns) : 2321822 +97.00 percentile latency (ns) : 2609757 +99.00 percentile latency (ns) : 2637407 +99.90 percentile latency (ns) : 2661419 + +================================================ +Test Parameters Used +================================================ +samples_per_query : 1 +target_qps : 1643.27 +target_latency (ns): 0 +max_async_queries : 1 +min_duration (ms): 600000 +max_duration (ms): 660000 +min_query_count : 100 +max_query_count : 0 +qsl_rng_seed : 6023615788873153749 +sample_index_rng_seed : 15036839855038426416 +schedule_rng_seed : 9933818062894767841 +accuracy_log_rng_seed : 720381539243781796 +accuracy_log_probability : 0 +accuracy_log_sampling_target : 4096 +print_timestamps : 0 +performance_issue_unique : 0 +performance_issue_same : 0 +performance_issue_same_index : 0 +performance_sample_count : 10833 + +1 warning encountered. See detailed log. + +No errors encountered during test. diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/verify_accuracy.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/verify_accuracy.txt new file mode 100644 index 000000000..c85a2b7ab --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/verify_accuracy.txt @@ -0,0 +1,12 @@ +Verifying accuracy. This might take a while... +Reading accuracy mode results... +Reading performance mode results... +num_acc_log_entries = 10833 +num_acc_log_duplicate_keys = 0 +num_acc_log_data_mismatch = 0 +num_perf_log_entries = 1625 +num_perf_log_qsl_idx_match = 1625 +num_perf_log_data_mismatch = 0 +num_missing_qsl_idxs = 0 +TEST PASS + diff --git a/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/verify_performance.txt b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/verify_performance.txt new file mode 100644 index 000000000..96decd86c --- /dev/null +++ b/closed/MLCommons/compliance/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream/TEST01/verify_performance.txt @@ -0,0 +1,4 @@ +Verifying performance. +reference score = 2167999 +test score = 2169583 +TEST PASS diff --git a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/README.md b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/README.md index cd1b547c9..62d4d90c2 100644 --- a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/README.md +++ b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/README.md @@ -1,6 +1,4 @@ -| Model | Scenario | Accuracy | Throughput | Latency (in ms) | Power Efficiency (in samples/J) | TEST01 | TEST04 | -|----------|--------------|------------|--------------|-------------------|-----------------------------------|----------|----------| -| resnet50 | multistream | 76.064 | 15936.3 | 0.502 | | passed | passed | -| resnet50 | singlestream | 76.064 | 3267.97 | 0.306 | | passed | passed | -| resnet50 | server | 76.078 | 73725.3 | - | | passed | passed | -| resnet50 | offline | 76.078 | 87922.6 | - | | passed | passed | \ No newline at end of file +| Model | Scenario | Accuracy | Throughput | Latency (in ms) | Power Efficiency (in samples/J) | TEST01 | +|-----------|--------------|------------|--------------|-------------------|-----------------------------------|----------| +| bert-99.9 | singlestream | 90.8811 | 461.255 | 2.168 | | passed | +| bert-99.9 | offline | 90.8832 | 3332.01 | - | | passed | \ No newline at end of file diff --git a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/README.md b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/README.md new file mode 100644 index 000000000..aec02b96f --- /dev/null +++ b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/README.md @@ -0,0 +1,44 @@ +*Check [CM MLPerf docs](https://docs.mlcommons.org/inference) for more details.* + +## Host platform + +* OS version: Linux-6.8.0-52-generic-x86_64-with-glibc2.29 +* CPU version: x86_64 +* Python version: 3.8.10 (default, Jan 17 2025, 14:40:23) +[GCC 9.4.0] +* MLC version: unknown + +## CM Run Command + +See [CM installation guide](https://docs.mlcommons.org/inference/install/). + +```bash +pip install -U mlcflow + +mlc rm cache -f + +mlc pull repo mlcommons@mlperf-automations --checkout=03d9201c1c9305c7c3eaa0262984af76c7f2287f + + +``` +*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf, + you should simply reload mlcommons@mlperf-automations without checkout and clean MLC cache as follows:* + +```bash +mlc rm repo mlcommons@mlperf-automations +mlc pull repo mlcommons@mlperf-automations +mlc rm cache -f + +``` + +## Results + +Platform: RTX4090x2-nvidia-gpu-TensorRT-default_config + +Model Precision: fp16 + +### Accuracy Results +`F1`: `90.88324`, Required accuracy for closed division `>= 90.78313` + +### Performance Results +`Samples per second`: `3332.01` diff --git a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/RTX4090x2-nvidia-gpu-TensorRT-default_config.json b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/RTX4090x2-nvidia-gpu-TensorRT-default_config.json new file mode 100644 index 000000000..0afd91ccc --- /dev/null +++ b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/RTX4090x2-nvidia-gpu-TensorRT-default_config.json @@ -0,0 +1,7 @@ +{ + "starting_weights_filename": "https://armi.in/files/bert_large_v1_1_fake_quant.onnx", + "retraining": "no", + "input_data_types": "int32", + "weight_data_types": "fp16", + "weight_transformations": "quantization, affine fusion" +} \ No newline at end of file diff --git a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/accuracy_console.out b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/accuracy_console.out new file mode 100644 index 000000000..de6714a9f --- /dev/null +++ b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/accuracy_console.out @@ -0,0 +1,104 @@ +[2025-02-01 19:42:21,551 main.py:229 INFO] Detected system ID: KnownSystem.Nvidia_279553fae853 +[2025-02-01 19:42:22,114 generate_conf_files.py:107 INFO] Generated measurements/ entries for Nvidia_279553fae853_TRT/bert-99.9/Offline +[2025-02-01 19:42:22,114 __init__.py:46 INFO] Running command: ./build/bin/harness_bert --logfile_outdir="/mlc-mount/home/arjun/gh_action_results/valid_results/RTX4090x2-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/mlcuser/MLC/repos/local/cache/get-git-repo_14157262/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/mlcuser/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/c801ab512e5b4ca9b0e9d101a3074cbf.conf" --gpu_inference_streams=2 --gpu_copy_streams=2 --gpu_engines="./build/engines/Nvidia_279553fae853/bert/Offline/bert-Offline-gpu-fp16_S_384_B_256_P_2_vs.custom_k_99_9_MaxP.plan" --scenario Offline --model bert +[2025-02-01 19:42:22,114 __init__.py:53 INFO] Overriding Environment +benchmark : Benchmark.BERT +buffer_manager_thread_count : 0 +coalesced_tensor : True +data_dir : /home/mlcuser/MLC/repos/local/cache/get-mlperf-inference-nvidia-scratch-space_5aab030f/data +gpu_batch_size : 256 +gpu_copy_streams : 2 +gpu_inference_streams : 2 +input_dtype : int32 +input_format : linear +log_dir : /home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/logs/2025.02.01-19.42.20 +mlperf_conf_path : /home/mlcuser/MLC/repos/local/cache/get-git-repo_14157262/inference/mlperf.conf +offline_expected_qps : 0.0 +precision : fp16 +preprocessed_data_dir : /home/mlcuser/MLC/repos/local/cache/get-mlperf-inference-nvidia-scratch-space_5aab030f/preprocessed_data +scenario : Scenario.Offline +system : SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name='Intel(R) Xeon(R) w7-2495X', architecture=, core_count=24, threads_per_core=2): 1}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=197.33452799999998, byte_suffix=, _num_bytes=197334528000), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout=defaultdict(, {GPU(name='NVIDIA GeForce RTX 4090', accelerator_type=, vram=Memory(quantity=23.98828125, byte_suffix=, _num_bytes=25757220864), max_power_limit=450.0, pci_id='0x268410DE', compute_sm=89): 1, GPU(name='NVIDIA GeForce RTX 4090', accelerator_type=, vram=Memory(quantity=23.98828125, byte_suffix=, _num_bytes=25757220864), max_power_limit=500.0, pci_id='0x268410DE', compute_sm=89): 1})), numa_conf=NUMAConfiguration(numa_nodes={}, num_numa_nodes=1), system_id='Nvidia_279553fae853') +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/mlcuser/MLC/repos/mlcommons@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/c801ab512e5b4ca9b0e9d101a3074cbf.conf +system_id : Nvidia_279553fae853 +config_name : Nvidia_279553fae853_bert_Offline +workload_setting : WorkloadSetting(HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP) +optimization_level : plugin-enabled +num_profiles : 2 +config_ver : custom_k_99_9_MaxP +accuracy_level : 99.9% +inference_server : custom +skip_file_checks : True +power_limit : None +cpu_freq : None +&&&& RUNNING BERT_HARNESS # ./build/bin/harness_bert +I0201 19:42:22.162139 18791 main_bert.cc:164] Found 2 GPUs +I0201 19:42:22.284981 18791 bert_server.cc:147] Engine Path: ./build/engines/Nvidia_279553fae853/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] Loaded engine size: 700 MiB +[W] [TRT] Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors. +[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +8, GPU +10, now: CPU 1008, GPU 1511 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +2, GPU +10, now: CPU 1010, GPU 1521 (MiB) +[I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +1152, now: CPU 0, GPU 1152 (MiB) +[I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +6, GPU +10, now: CPU 1018, GPU 1253 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +10, now: CPU 1019, GPU 1263 (MiB) +[I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +1, GPU +576, now: CPU 1, GPU 1152 (MiB) +I0201 19:42:22.938205 18791 bert_server.cc:208] Engines Creation Completed +I0201 19:42:22.970506 18791 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I0201 19:42:22.970512 18791 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I0201 19:42:22.970518 18791 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 319, GPU 2859 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +8, now: CPU 320, GPU 2867 (MiB) +I0201 19:42:23.035300 18791 bert_core_vs.cc:426] Setting Opt.Prof. to 0 +I0201 19:42:23.035323 18791 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +[I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +0, now: CPU 1, GPU 1152 (MiB) +I0201 19:42:23.036103 18791 bert_core_vs.cc:476] Setup complete +I0201 19:42:23.036278 18791 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I0201 19:42:23.036283 18791 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I0201 19:42:23.036285 18791 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 443, GPU 2601 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 443, GPU 2609 (MiB) +I0201 19:42:23.100718 18791 bert_core_vs.cc:426] Setting Opt.Prof. to 0 +I0201 19:42:23.100733 18791 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +[I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +1, GPU +0, now: CPU 2, GPU 1152 (MiB) +I0201 19:42:23.101540 18791 bert_core_vs.cc:476] Setup complete +I0201 19:42:23.101725 18791 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I0201 19:42:23.101728 18791 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I0201 19:42:23.101732 18791 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 566, GPU 4345 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +10, now: CPU 566, GPU 4355 (MiB) +I0201 19:42:23.166205 18791 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 +1, GPU +0, now: CPU 3, GPU 1152 (MiB) +I0201 19:42:23.166543 18791 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +I0201 19:42:23.167349 18791 bert_core_vs.cc:476] Setup complete +I0201 19:42:23.167512 18791 bert_core_vs.cc:385] Engine - Device Memory requirements: 1409287680 +I0201 19:42:23.167515 18791 bert_core_vs.cc:393] Engine - Number of Optimization Profiles: 2 +I0201 19:42:23.167519 18791 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 690, GPU 4087 (MiB) +[I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +10, now: CPU 690, GPU 4097 (MiB) +I0201 19:42:23.232367 18791 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 3, GPU 1152 (MiB) +I0201 19:42:23.232693 18791 bert_core_vs.cc:444] Context creation complete. Max supported batchSize: 256 +I0201 19:42:23.233486 18791 bert_core_vs.cc:476] Setup complete +I0201 19:42:24.435580 18791 main_bert.cc:185] Starting running actual test. +I0201 19:42:27.778628 18791 main_bert.cc:191] Finished running actual test. + +No warnings encountered during test. + +No errors encountered during test. +[2025-02-01 19:42:28,009 run_harness.py:166 INFO] Result: Accuracy run detected. +[2025-02-01 19:42:28,010 __init__.py:46 INFO] Running command: PYTHONPATH=code/bert/tensorrt/helpers python3 /home/mlcuser/MLC/repos/local/cache/get-git-repo_0ab377fc/repo/closed/NVIDIA/build/inference/language/bert/accuracy-squad.py --log_file /mlc-mount/home/arjun/gh_action_results/valid_results/RTX4090x2-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/mlcuser/MLC/repos/local/cache/get-mlperf-inference-nvidia-scratch-space_5aab030f/data/squad/dev-v1.1.json --out_file /mlc-mount/home/arjun/gh_action_results/valid_results/RTX4090x2-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... +Post-processing predictions... +Writing predictions to: /mlc-mount/home/arjun/gh_action_results/valid_results/RTX4090x2-nvidia_original-gpu-tensorrt-vdefault-default_config/bert-99.9/offline/accuracy/predictions.json +Evaluating predictions... + +======================== Result summaries: ======================== + diff --git a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/cpu_info.json b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/cpu_info.json new file mode 100644 index 000000000..0795ad315 --- /dev/null +++ b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/cpu_info.json @@ -0,0 +1,27 @@ +{ + "MLC_HOST_CPU_WRITE_PROTECT_SUPPORT": "yes", + "MLC_HOST_CPU_MICROCODE": "0x2b000603", + "MLC_HOST_CPU_FPU_SUPPORT": "yes", + "MLC_HOST_CPU_FPU_EXCEPTION_SUPPORT": "yes", + "MLC_HOST_CPU_BUGS": "spectre_v1 spectre_v2 spec_store_bypass swapgs eibrs_pbrsb bhi", + "MLC_HOST_CPU_TLB_SIZE": "Not Found", + "MLC_HOST_CPU_CFLUSH_SIZE": "64", + "MLC_HOST_CPU_ARCHITECTURE": "x86_64", + "MLC_HOST_CPU_TOTAL_CORES": "48", + "MLC_HOST_CPU_ON_LINE_CPUS_LIST": "0-47", + "MLC_HOST_CPU_THREADS_PER_CORE": "2", + "MLC_HOST_CPU_PHYSICAL_CORES_PER_SOCKET": "24", + "MLC_HOST_CPU_SOCKETS": "1", + "MLC_HOST_CPU_NUMA_NODES": "1", + "MLC_HOST_CPU_VENDOR_ID": "GenuineIntel", + "MLC_HOST_CPU_FAMILY": "6", + "MLC_HOST_CPU_MODEL_NAME": "Intel(R) Xeon(R) w7-2495X", + "MLC_HOST_CPU_MAX_MHZ": "4800.0000", + "MLC_HOST_CPU_L1D_CACHE_SIZE": "1.1 MiB", + "MLC_HOST_CPU_L1I_CACHE_SIZE": "768 KiB", + "MLC_HOST_CPU_L2_CACHE_SIZE": "48 MiB", + "MLC_HOST_CPU_L3_CACHE_SIZE": "45 MiB", + "MLC_HOST_CPU_TOTAL_LOGICAL_CORES": "48", + "MLC_HOST_MEMORY_CAPACITY": "192G", + "MLC_HOST_DISK_CAPACITY": "7.0T" +} \ No newline at end of file diff --git a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/mlc-deps.mmd b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/mlc-deps.mmd new file mode 100644 index 000000000..ae1a60cf1 --- /dev/null +++ b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/mlc-deps.mmd @@ -0,0 +1,92 @@ +graph TD + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> detect,os + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> get,sys-utils-cm + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> get,python + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> get,mlcommons,inference,src,_deeplearningexamples + pull-git-repo,c23132ed65c4421d --> detect,os + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> pull,git,repo + get-mlperf-inference-utils,e341e5f86d8342e5 --> get,mlperf,inference,src,_deeplearningexamples + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> get,mlperf,inference,utils + get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,cuda,_toolkit + get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,python3 + get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 + get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,generic-python-lib,_package.pycuda + get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,python3 + get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,generic-python-lib,_package.numpy + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> get,cuda-devices,_with-pycuda + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> get,dataset,squad,language-processing + app-mlperf-inference,d775cac873ee4231_(_nvidia,_bert-99.9,_tensorrt,_cuda,_valid,_r5.0-dev_default,_offline_) --> get,dataset-aux,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> detect,os + detect-cpu,586c8a43320142f7 --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,mlperf,inference,nvidia,scratch,space,_version.5.0-dev + get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,ml-model,bert,_onnx,_fp32 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,ml-model,bert,_onnx,_int8 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,mlcommons,inference,src,_deeplearningexamples + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,nvidia,mlperf,inference,common-code,_mlcommons + pull-git-repo,c23132ed65c4421d --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_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 + generate-mlperf-inference-user-conf,3af4475745964b93 --> get,python + 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,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> generate,user-conf,mlperf,inference + get-generic-python-lib,94b62a682bc44791_(_package.pycuda_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> detect,os + detect-cpu,586c8a43320142f7 --> detect,os + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> detect,cpu + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,sys-utils-cm + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,mlperf,inference,nvidia,scratch,space,_version.5.0-dev + get-generic-python-lib,94b62a682bc44791_(_mlperf_logging_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_mlperf_logging + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,ml-model,bert,_onnx,_fp32 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,ml-model,bert,_onnx,_int8 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,squad-vocab + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,mlcommons,inference,src,_deeplearningexamples + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_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,_cuda,_bert-99.9,_offline,_tensorrt,_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,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_package.pycuda + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,cuda,_cudnn + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,tensorrt + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> build,nvidia,inference,server,_mlcommons + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_cuda,_bert-99.9,_tensorrt,_bert_,_v4.1-dev + get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_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,_cuda,_bert-99.9,_offline,_tensorrt,_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,_cuda,_bert-99.9,_offline,_tensorrt,_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,_cuda,_bert-99.9,_offline,_tensorrt,_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,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> get,generic-python-lib,_onnx-graphsurgeon + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev_) --> save,mlperf,inference,state + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_build_engine,_cuda,_bert-99.9,_offline,_tensorrt,_bert_,_batch_size.256,_v4.1-dev + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> reproduce,mlperf,inference,nvidia,harness,_preprocess_data,_cuda,_bert-99.9,_tensorrt,_bert_,_v4.1-dev + get-generic-python-lib,94b62a682bc44791_(_transformers_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_transformers + get-generic-python-lib,94b62a682bc44791_(_safetensors_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_safetensors + get-generic-python-lib,94b62a682bc44791_(_onnx_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_onnx + get-generic-python-lib,94b62a682bc44791_(_package.sympy_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> get,generic-python-lib,_package.sympy + get-generic-python-lib,94b62a682bc44791_(_onnx-graphsurgeon_) --> get,python3 + app-mlperf-inference-nvidia,bc3b17fb430f4732_(_run_harness,_cuda,_bert-99.9,_offline,_tensorrt,_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,_cuda,_bert-99.9,_offline,_tensorrt,_rtx_4090_) --> benchmark-mlperf \ No newline at end of file diff --git a/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/mlc-deps.png b/closed/MLCommons/measurements/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline/mlc-deps.png new file mode 100644 index 0000000000000000000000000000000000000000..ba7afd2e843c73ce84bc10fdd44ecde82c42aa5a GIT binary patch literal 5153653 zcmeFZcRba7{|A1gXoy5cW-6s&7dl2ml!Pc`kBsbaQLXws2b?h>eWbc)A zIOdV{dwsg@>;B#yUH5(c`TPAI&f^hTpZDkee80x?^?bcP$5%m4dhhOoyHP0A-m6z6 z6;Y_e$5AL2*_~wY9kR*(W%wjwcUjd=$6MczDeJ{R`ZdHby-7=g)7$MRr+TxowL=aUVwhkvPOl*rP~LsH>6} zZaPFyHt>;npeRUr-?%ppzI$MEWcO@Ow;24<|9D|}?y&riUqOC+V&WhClEQ8B|NUDY zHRt~KFQIOJgPr}a*NgX*|La%a=VAB$!7sgeNBX~i>%74hR4CLIREVW)Srve=<$#DO 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