diff --git a/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/README.md b/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/README.md new file mode 100644 index 0000000..4cb0392 --- /dev/null +++ b/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/README.md @@ -0,0 +1,3 @@ +| Model | Scenario | Accuracy | Throughput | Latency (in ms) | +|---------------------|------------|-----------------------|--------------|-------------------| +| stable-diffusion-xl | offline | (15.18026, 235.62721) | 0.37 | - | \ No newline at end of file diff --git a/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/README.md b/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/README.md new file mode 100644 index 0000000..d12a9dc --- /dev/null +++ b/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/README.md @@ -0,0 +1,95 @@ +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 + +* OS version: Linux-6.2.0-39-generic-x86_64-with-glibc2.35 +* CPU version: x86_64 +* Python version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] +* MLCommons CM version: 3.0.1 + +## CM Run Command + +See [CM installation guide](https://docs.mlcommons.org/inference/install/). + +```bash +pip install -U cmind + +cm rm cache -f + +cm pull repo gateoverflow@cm4mlops --checkout=60e4413ec9fba549d3a676d43595ec56e0bf1237 + +cm run script \ + --tags=app,mlperf,inference,generic,_reference,_sdxl,_pytorch,_cuda,_test,_r4.1-dev_default,_float16,_offline \ + --quiet=true \ + --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes \ + --env.CM_QUIET=yes \ + --env.CM_MLPERF_IMPLEMENTATION=reference \ + --env.CM_MLPERF_MODEL=sdxl \ + --env.CM_MLPERF_RUN_STYLE=test \ + --env.CM_MLPERF_SKIP_SUBMISSION_GENERATION=False \ + --env.CM_MLPERF_BACKEND=pytorch \ + --env.CM_MLPERF_SUBMISSION_SYSTEM_TYPE=datacenter \ + --env.CM_MLPERF_CLEAN_ALL=True \ + --env.CM_MLPERF_DEVICE=cuda \ + --env.CM_MLPERF_USE_DOCKER=True \ + --env.CM_MLPERF_MODEL_PRECISION=float16 \ + --env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \ + --env.CM_MLPERF_LOADGEN_SCENARIO=Offline \ + --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \ + --env.CM_MLPERF_INFERENCE_VERSION=4.1-dev \ + --env.CM_RUN_MLPERF_INFERENCE_APP_DEFAULTS=r4.1-dev_default \ + --env.CM_MLPERF_SUBMISSION_GENERATION_STYLE=short \ + --env.CM_MLPERF_SUT_NAME_RUN_CONFIG_SUFFIX4=scc24-base \ + --env.CM_DOCKER_IMAGE_NAME=scc24-reference \ + --env.CM_MLPERF_LOADGEN_ALL_MODES=yes \ + --env.CM_MLPERF_LAST_RELEASE=v4.1 \ + --env.CM_TMP_CURRENT_PATH=/home/arjun/actions-runner/_work/cm4mlops/cm4mlops \ + --env.CM_TMP_PIP_VERSION_STRING= \ + --env.CM_MODEL=sdxl \ + --env.CM_MLPERF_LOADGEN_COMPLIANCE=no \ + --env.CM_MLPERF_CLEAN_SUBMISSION_DIR=yes \ + --env.CM_RERUN=yes \ + --env.CM_MLPERF_LOADGEN_EXTRA_OPTIONS= \ + --env.CM_MLPERF_LOADGEN_MODE=performance \ + --env.CM_MLPERF_LOADGEN_SCENARIOS,=Offline \ + --env.CM_MLPERF_LOADGEN_MODES,=performance,accuracy \ + --env.CM_OUTPUT_FOLDER_NAME=test_results \ + --add_deps_recursive.get-mlperf-inference-results-dir.tags=_version.r4_1-dev \ + --add_deps_recursive.get-mlperf-inference-submission-dir.tags=_version.r4_1-dev \ + --add_deps_recursive.mlperf-inference-nvidia-scratch-space.tags=_version.r4_1-dev \ + --add_deps_recursive.submission-checker.tags=_short-run \ + --add_deps_recursive.coco2014-preprocessed.tags=_size.50,_with-sample-ids \ + --add_deps_recursive.coco2014-dataset.tags=_size.50,_with-sample-ids \ + --add_deps_recursive.nvidia-preprocess-data.extra_cache_tags=scc24-base \ + --v=False \ + --print_env=False \ + --print_deps=False \ + --dump_version_info=True \ + --env.OUTPUT_BASE_DIR=/home/arjun/scc_gh_action_results \ + --env.CM_MLPERF_INFERENCE_SUBMISSION_DIR=/home/arjun/scc_gh_action_submissions \ + --env.SDXL_CHECKPOINT_PATH=/home/cmuser/CM/repos/local/cache/6be1f30ecbde4c4e/stable_diffusion_fp16 +``` +*Note that if you want to use the [latest automation recipes](https://docs.mlcommons.org/inference) for MLPerf (CM scripts), + you should simply reload gateoverflow@cm4mlops without checkout and clean CM cache as follows:* + +```bash +cm rm repo gateoverflow@cm4mlops +cm pull repo gateoverflow@cm4mlops +cm rm cache -f + +``` + +## Results + +Platform: f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124 + +Model Precision: fp32 + +### Accuracy Results +`CLIP_SCORE`: `15.18026`, Required accuracy for closed division `>= 31.68632` and `<= 31.81332` +`FID_SCORE`: `235.62721`, Required accuracy for closed division `>= 23.01086` and `<= 23.95008` + +### Performance Results +`Samples per second`: `0.369552` diff --git a/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/accuracy_console.out b/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/accuracy_console.out new file mode 100644 index 0000000..e69de29 diff --git a/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/cm-version-info.json b/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/cm-version-info.json new file mode 100644 index 0000000..59fb8aa --- /dev/null +++ b/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/cm-version-info.json @@ -0,0 +1,574 @@ +{ + 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file is 'key = value'. +# The key has the format 'model.scenario.key'. Value is mostly int64_t. +# Model maybe '*' as wildcard. In that case the value applies to all models. +# All times are in milli seconds + +# Set performance_sample_count for each model. +# User can optionally set this to higher values in user.conf. +resnet50.*.performance_sample_count_override = 1024 +ssd-mobilenet.*.performance_sample_count_override = 256 +retinanet.*.performance_sample_count_override = 64 +bert.*.performance_sample_count_override = 10833 +dlrm.*.performance_sample_count_override = 204800 +dlrm-v2.*.performance_sample_count_override = 204800 +rnnt.*.performance_sample_count_override = 2513 +gptj.*.performance_sample_count_override = 13368 +llama2-70b.*.performance_sample_count_override = 24576 +stable-diffusion-xl.*.performance_sample_count_override = 5000 +# set to 0 to let entire sample set to be performance sample +3d-unet.*.performance_sample_count_override = 0 + +# Set seeds. The seeds will be distributed two weeks before the submission. +*.*.qsl_rng_seed = 3066443479025735752 +*.*.sample_index_rng_seed = 10688027786191513374 +*.*.schedule_rng_seed = 14962580496156340209 +# Set seeds for TEST_05. The seeds will be distributed two weeks before the submission. +*.*.test05_qsl_rng_seed = 16799458546791641818 +*.*.test05_sample_index_rng_seed = 5453809927556429288 +*.*.test05_schedule_rng_seed = 5435552105434836064 + + +*.SingleStream.target_latency_percentile = 90 +*.SingleStream.min_duration = 600000 + +*.MultiStream.target_latency_percentile = 99 +*.MultiStream.samples_per_query = 8 +*.MultiStream.min_duration = 600000 +*.MultiStream.min_query_count = 662 +retinanet.MultiStream.target_latency = 528 + +# 3D-UNet uses equal issue mode because it has non-uniform inputs +3d-unet.*.sample_concatenate_permutation = 1 + +# LLM benchmarks have non-uniform inputs and outputs, and use equal issue mode for all latency scenario +gptj.*.sample_concatenate_permutation = 1 +llama2-70b.*.sample_concatenate_permutation = 1 +mixtral-8x7b.*.sample_concatenate_permutation = 1 + +*.Server.target_latency = 10 +*.Server.target_latency_percentile = 99 +*.Server.target_duration = 0 +*.Server.min_duration = 600000 +resnet50.Server.target_latency = 15 +retinanet.Server.target_latency = 100 +bert.Server.target_latency = 130 +dlrm.Server.target_latency = 60 +dlrm-v2.Server.target_latency = 60 +rnnt.Server.target_latency = 1000 +gptj.Server.target_latency = 20000 +stable-diffusion-xl.Server.target_latency = 20000 +# Llama2-70b benchmarks measures token latencies +llama2-70b.*.use_token_latencies = 1 +mixtral-8x7b.*.use_token_latencies = 1 +# gptj benchmark infers token latencies +gptj.*.infer_token_latencies = 1 +gptj.*.token_latency_scaling_factor = 69 +# Only ttft and tpot are tracked for the llama2-70b & mixtral-8x7B benchmark therefore target_latency = 0 +llama2-70b.Server.target_latency = 0 +llama2-70b.Server.ttft_latency = 2000 +llama2-70b.Server.tpot_latency = 200 + +mixtral-8x7b.Server.target_latency = 0 +mixtral-8x7b.Server.ttft_latency = 2000 +mixtral-8x7b.Server.tpot_latency = 200 + +*.Offline.target_latency_percentile = 90 +*.Offline.min_duration = 600000 + +# In Offline scenario, we always have one query. But LoadGen maps this to +# min_sample_count internally in Offline scenario. If the dataset size is larger +# than 24576 we limit the min_query_count to 24576 and otherwise we use +# the dataset size as the limit + +resnet50.Offline.min_query_count = 24576 +retinanet.Offline.min_query_count = 24576 +dlrm-v2.Offline.min_query_count = 24576 +bert.Offline.min_query_count = 10833 +gptj.Offline.min_query_count = 13368 +rnnt.Offline.min_query_count = 2513 +3d-unet.Offline.min_query_count = 43 +stable-diffusion-xl.Offline.min_query_count = 5000 +llama2-70b.Offline.min_query_count = 24576 +mixtral-8x7b.Offline.min_query_count = 15000 + +# These fields should be defined and overridden by user.conf. +*.SingleStream.target_latency = 10 +*.MultiStream.target_latency = 80 +*.Server.target_qps = 1.0 +*.Offline.target_qps = 1.0 diff --git a/open/MLCommons/measurements/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/os_info.json 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Close up of a red fire hydrant near a sidewalk. +2569 A dark table has a large arrangement of food. +1303 A baby boy standing inside of a wooden crib. +109 People walking toward an airplane to board it. +4509 a couple of horses grazing on some green grass +3009 A horse that is standing with a cart near birds. +2179 A man holds up a Polish sausage on a bun. +1826 Two dogs resting comfortably on a tiled floor. +2094 A cat hiding in a basket of some sort. +3340 Vintage picture of a man and a horse on the farm. diff --git a/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_accuracy.json new file mode 100644 index 0000000..6707b0a --- /dev/null +++ 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{"key": "qsl_name", "value": "PyQSL", "time_ms": 0.011574, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1201, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.011574, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1202, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.011574, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1203, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 270, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_test_mode", "value": "AccuracyOnly", "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 271, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 308, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 314, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 315, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_min_query_count", "value": 50, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_max_query_count", "value": 50, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 322, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 329, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": false, "time_ms": 0.014530, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 413, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_test_mode", "value": "AccuracyOnly", "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 414, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_samples_per_query", "value": 50, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 416, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_target_qps", "value": 0.05, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 417, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 425, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_max_query_count", "value": 50, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_min_sample_count", "value": 50, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 428, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 439, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 446, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": false, "time_ms": 0.014633, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 448, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "generic_message", "value": "Starting accuracy mode", "time_ms": 0.020226, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1090, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.026845, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 613, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 1.983281, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "generated_samples_per_query", "value": 50, "time_ms": 1.983281, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 429, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 1.983281, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 430, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 131720.043659, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 898, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 131720.043659, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 900, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 131720.043659, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 131720.043659, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 131720.043659, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 131720.043659, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "power_begin", "value": "10-25-2024 03:02:16.879", "time_ms": 131720.045713, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 564, "pid": 6874, "tid": 6874}} +:::MLLOG {"key": "power_end", "value": "10-25-2024 03:04:28.582", "time_ms": 131720.045713, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 566, "pid": 6874, "tid": 6874}} diff --git a/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_summary.txt b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_summary.txt new file mode 100644 index 0000000..a05d865 --- /dev/null +++ b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_summary.txt @@ -0,0 +1,4 @@ + +No warnings encountered during test. + +No errors encountered during test. diff --git a/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_accuracy.json b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_accuracy.json new file mode 100644 index 0000000..0d4f101 --- /dev/null +++ b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_accuracy.json @@ -0,0 +1,2 @@ +[ +] diff --git a/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt new file mode 100644 index 0000000..9ccd159 --- /dev/null +++ b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt @@ -0,0 +1,87 @@ +:::MLLOG {"key": "loadgen_version", "value": "4.1 @ f5c8f17583", "time_ms": 0.004522, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "loadgen_build_date_local", "value": "2024-10-21T04:51:25.008450", "time_ms": 0.004522, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "loadgen_build_date_utc", "value": "2024-10-21T04:51:25.008457", "time_ms": 0.004522, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "loadgen_git_commit_date", "value": "2024-10-08T18:30:16+01:00", "time_ms": 0.004522, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "loadgen_git_log_message", "value": "f5c8f1758374aeaba26b2e84d31690111cfdf054 Fix bug: Loadgen ignoring token latency targets in user conf (#1874)\n976bb1ad9c7946be79507f3ff67955c27426af52 Set correct remote repo (#1871)\n41fa8aadd1ba0ecc97f6a519d8b42b04278e5f24 Add format files github action (#1682)\n518b454fd8647bfbd23a074e875e87353f33393e Tflite tpu (#1449)\ne0fdec1c7a75c98cfc194f13d62ac4388d419c8a Fix link in GettingStarted.ipynb (#1512)", "time_ms": 0.004522, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.004522, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "loadgen_file_sha1", "value": 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"time_ms": 0.004522, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "test_datetime", "value": "2024-10-25T03:01:14Z", "time_ms": 0.016199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.016199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1199, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "get_sut_name_duration_ns", "value": 262, "time_ms": 0.016199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1200, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.016199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1201, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.016199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1202, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.016199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1203, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 270, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_test_mode", "value": "PerformanceOnly", "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 271, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 308, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 314, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 315, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_min_query_count", "value": 10, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_max_query_count", "value": 10, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 322, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, 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"file": "test_settings_internal.cc", "line_no": 329, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.024747, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": 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"effective_performance_issue_unique", "value": false, "time_ms": 0.024852, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.024852, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.024852, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.024852, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 446, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": false, "time_ms": 0.024852, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 448, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "generic_message", "value": "Starting performance mode", "time_ms": 0.028433, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 841, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.035498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 613, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 2.885913, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "generated_samples_per_query", "value": 10, "time_ms": 2.885913, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 429, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 2.885913, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 430, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 14131.426187, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 27068.163485, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 898, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 27068.163485, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 900, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 27068.163485, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 27068.163485, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 27068.163485, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 27068.163485, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "power_begin", "value": "10-25-2024 03:01:14.453", "time_ms": 27068.165283, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 564, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "power_end", "value": "10-25-2024 03:01:41.513", "time_ms": 27068.165283, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 566, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 655, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 660, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 661, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 662, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "early_stopping_result", "value": "", "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 682, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 692, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_samples_per_second", "value": 0.369552, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 748, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_min_latency_ns", "value": 3798370944, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 754, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_max_latency_ns", "value": 27059802076, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 755, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_mean_latency_ns", "value": 15424350214, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 756, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 16715106262, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 758, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 27059802076, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 758, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 27059802076, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 758, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 27059802076, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 758, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 27059802076, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 758, "pid": 3387, "tid": 3387}} +:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 27059802076, "time_ms": 27068.251473, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 758, "pid": 3387, "tid": 3387}} diff --git a/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt new file mode 100644 index 0000000..1d02160 --- /dev/null +++ b/open/MLCommons/results/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt @@ -0,0 +1,51 @@ +================================================ +MLPerf Results Summary +================================================ +SUT name : PySUT +Scenario : Offline +Mode : PerformanceOnly +Samples per second: 0.369552 +Result is : VALID + Min duration satisfied : Yes + Min queries satisfied : Yes + Early stopping satisfied: Yes + +================================================ +Additional Stats +================================================ +Min latency (ns) : 3798370944 +Max latency (ns) : 27059802076 +Mean latency (ns) : 15424350214 +50.00 percentile latency (ns) : 16715106262 +90.00 percentile latency (ns) : 27059802076 +95.00 percentile latency (ns) : 27059802076 +97.00 percentile latency (ns) : 27059802076 +99.00 percentile latency (ns) : 27059802076 +99.90 percentile latency (ns) : 27059802076 + +================================================ +Test Parameters Used +================================================ +samples_per_query : 10 +target_qps : 0.05 +target_latency (ns): 0 +max_async_queries : 1 +min_duration (ms): 0 +max_duration (ms): 0 +min_query_count : 1 +max_query_count : 10 +qsl_rng_seed : 3066443479025735752 +sample_index_rng_seed : 10688027786191513374 +schedule_rng_seed : 14962580496156340209 +accuracy_log_rng_seed : 0 +accuracy_log_probability : 0 +accuracy_log_sampling_target : 0 +print_timestamps : 0 +performance_issue_unique : 0 +performance_issue_same : 0 +performance_issue_same_index : 0 +performance_sample_count : 5000 + +No warnings encountered during test. + +No errors encountered during test. diff --git a/open/MLCommons/systems/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124.json b/open/MLCommons/systems/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124.json new file mode 100644 index 0000000..a8aef50 --- /dev/null +++ b/open/MLCommons/systems/f55dec0e3c8c-reference-gpu-pytorch_v2.5.0-scc24-base_cu124.json @@ -0,0 +1,37 @@ +{ + "accelerator_frequency": "2520000 MHz", + "accelerator_host_interconnect": "N/A", + "accelerator_interconnect": "N/A", + "accelerator_interconnect_topology": "", + "accelerator_memory_capacity": "23.64703369140625 GB", + "accelerator_memory_configuration": "N/A", + "accelerator_model_name": "NVIDIA GeForce RTX 4090", + "accelerator_on-chip_memories": "", + "accelerators_per_node": 2, + "cooling": "air", + "division": "open", + "framework": "pytorch v2.5.0", + "host_memory_capacity": "192G", + "host_memory_configuration": "undefined", + "host_network_card_count": "1", + "host_networking": "Gig Ethernet", + "host_networking_topology": "N/A", + "host_processor_caches": "L1d cache: 1.1 MiB (24 instances), L1i cache: 768 KiB (24 instances), L2 cache: 48 MiB (24 instances), L3 cache: 45 MiB (1 instance)", + "host_processor_core_count": "24", + "host_processor_frequency": "4800.0000", + "host_processor_interconnect": "", + "host_processor_model_name": "Intel(R) Xeon(R) w7-2495X", + "host_processors_per_node": "1", + "host_storage_capacity": "6.9T", + "host_storage_type": "SSD", + "hw_notes": "", + "number_of_nodes": "1", + "operating_system": "Ubuntu 22.04 (linux-6.2.0-39-generic-glibc2.35)", + "other_software_stack": "Python: 3.10.12, LLVM-15.0.6", + "status": "available", + "submitter": "MLCommons", + "sw_notes": "Automated by MLCommons CM v3.2.6. ", + "system_name": "f55dec0e3c8c", + "system_type": "datacenter", + "system_type_detail": "edge server" +} \ No newline at end of file