MLPerf default config version with bert & 3d-unet benchmarks

src/VirtualClient/TestResources/Results_MLPerf_Accuracy_Summary.json

@@ -1,5 +1,24 @@
 {
-  "A100-PCIe-80GBx4_TRT-custom_k_99_9_MaxP-Server": { "bert": "Accuracy = 91.873, Threshold = 90.783. Accuracy test PASSED." },
-  "A100-PCIe-80GBx4_TRT-custom_k_99_9_MaxP-SingleStream": { "bert": "Accuracy = 91.568, Threshold = 90.783. Accuracy test PASSED." },
-  "A100-PCIe-80GBx4_TRT-custom_k_99_9_MaxP-Offline": { "bert": "Accuracy = 91.832, Threshold = 90.783. Accuracy test FAILED." }
+  "accuracy": [
+    {
+      "name": "F1",
+      "pass": true,
+      "threshold": 89.96526,
+      "value": 90.2147015680108
+    }
+  ],
+  "accuracy_pass": true,
+  "benchmark_full": "bert-99",
+  "benchmark_short": "bert",
+  "config_name": "DGX-A100_A100-SXM4-40GBx8_TRT-custom_k_99_MaxP-Offline",
+  "detected_system": "SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name=\"AMD EPYC 7V12 64-Core Processor\", architecture=CPUArchitecture.x86_64, core_count=48, threads_per_core=1): 2}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=928.7656999999999, byte_suffix=ByteSuffix.GB), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout={GPU(name=\"NVIDIA A100-SXM4-40GB\", accelerator_type=AcceleratorType.Discrete, vram=Memory(quantity=40.0, byte_suffix=ByteSuffix.GiB), max_power_limit=400.0, pci_id=\"0x20B010DE\", compute_sm=80): 8}), numa_conf=NUMAConfiguration(numa_nodes={}, num_numa_nodes=4), system_id=\"DGX-A100_A100-SXM4-40GBx8\")",
+  "effective_min_duration_ms": 600000,
+  "effective_samples_per_query": 19800000,
+  "satisfies_query_constraint": true,
+  "scenario": "Offline",
+  "scenario_key": "result_samples_per_second",
+  "summary_string": "[PASSED] F1: 90.215 (Threshold=89.965)",
+  "system_name": "DGX-A100_A100-SXM4-40GBx8_TRT",
+  "tensorrt_version": "10.2.0",
+  "test_mode": "AccuracyOnly"
 }

src/VirtualClient/TestResources/Results_MLPerf_Harness_Summary.json

@@ -1,4 +1,18 @@
 {
-  "A100-PCIe-80GBx4_TRT_Triton-triton_k_99_9_MaxP-Server": { "bert": "result_scheduled_samples_per_sec: 4751.78, Result is INVALID" },
-  "A100-PCIe-80GBx4_TRT_Triton-triton_k_99_9_MaxP-SingleStream": { "bert": "result_90.00_percentile_latency_ns: 2202969, Result is VALID" }
+  "benchmark_full": "bert-99",
+  "benchmark_short": "bert",
+  "config_name": "DGX-A100_A100-SXM4-40GBx8_TRT-custom_k_99_MaxP-Server",
+  "detected_system": "SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name=\"AMD EPYC 7V12 64-Core Processor\", architecture=CPUArchitecture.x86_64, core_count=48, threads_per_core=1): 2}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=928.7656999999999, byte_suffix=ByteSuffix.GB), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout={GPU(name=\"NVIDIA A100-SXM4-40GB\", accelerator_type=AcceleratorType.Discrete, vram=Memory(quantity=40.0, byte_suffix=ByteSuffix.GiB), max_power_limit=400.0, pci_id=\"0x20B010DE\", compute_sm=80): 8}), numa_conf=NUMAConfiguration(numa_nodes={}, num_numa_nodes=4), system_id=\"DGX-A100_A100-SXM4-40GBx8\")",
+  "early_stopping_met": true,
+  "effective_min_duration_ms": 600000,
+  "effective_min_query_count": 100,
+  "result_completed_samples_per_sec": 25405.6,
+  "result_validity": "VALID",
+  "satisfies_query_constraint": false,
+  "scenario": "Server",
+  "scenario_key": "result_completed_samples_per_sec",
+  "summary_string": "result_completed_samples_per_sec: 25405.6, Result is VALID, 10-min runtime requirement met: True",
+  "system_name": "DGX-A100_A100-SXM4-40GBx8_TRT",
+  "tensorrt_version": "10.2.0",
+  "test_mode": "PerformanceOnly"
 }

src/VirtualClient/VirtualClient.Actions.FunctionalTests/MLPerfProfileTests.cs

@@ -46,8 +46,8 @@ public async Task MLPerfWorkloadProfileExecutesTheExpectedDependenciesAndReboot(
             {
                 $"sudo apt update",
                 $"sudo apt install build-essential -yq",
-                $"sudo wget https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/cuda_12.0.0_525.60.13_linux.run",
-                $"sudo sh cuda_12.0.0_525.60.13_linux.run --silent",
+                $"sudo wget https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_550.54.14_linux.run",
+                $"sudo sh cuda_12.4.0_550.54.14_linux.run --silent",
                 $"sudo bash -c \"echo 'export PATH=/usr/local/cuda-11.6/bin${{PATH:+:${{PATH}}}}' | sudo tee -a /home/[a-z]+/.bashrc\"",
                 $"bash -c \"echo 'export LD_LIBRARY_PATH=/usr/local/cuda-11.6/lib64${{LD_LIBRARY_PATH:+:${{LD_LIBRARY_PATH}}}}' " +
                 "| sudo tee -a /home/[a-z]+/.bashrc\""
@@ -80,7 +80,6 @@ public async Task MLPerfWorkloadProfileExecutesTheExpectedRemainingDependenciesA
 
             this.mockFixture.Setup(PlatformID.Unix);
             this.mockFixture.SetupDisks(withRemoteDisks: true);
-            this.mockFixture.SetupWorkloadPackage("mlperf", expectedFiles: @"closed/NVIDIA/Makefile");
 
             string expectedStateId = nameof(CudaAndNvidiaGPUDriverInstallation);
             await this.mockFixture.StateManager.SaveStateAsync(expectedStateId, JObject.Parse("{ \"any\": \"state\" }"), CancellationToken.None)
@@ -125,32 +124,14 @@ private IEnumerable<string> GetExpectedCommands()
                 @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_data BENCHMARKS=bert""",
                 @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_model BENCHMARKS=bert""",
                 @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make preprocess_data BENCHMARKS=bert""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_data BENCHMARKS=rnnt""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_model BENCHMARKS=rnnt""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make preprocess_data BENCHMARKS=rnnt""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_data BENCHMARKS=ssd-mobilenet""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_model BENCHMARKS=ssd-mobilenet""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make preprocess_data BENCHMARKS=ssd-mobilenet""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_data BENCHMARKS=ssd-resnet34""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_model BENCHMARKS=ssd-resnet34""",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make preprocess_data BENCHMARKS=ssd-resnet34""",
+                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_data BENCHMARKS=3d-unet""",
+                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make download_model BENCHMARKS=3d-unet""",
+                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make preprocess_data BENCHMARKS=3d-unet""",
                 @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make build""",
                 @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=default --test_mode=PerformanceOnly --fast'",
                 @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=default --test_mode=AccuracyOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=high_accuracy --test_mode=PerformanceOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=high_accuracy --test_mode=AccuracyOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=triton --test_mode=PerformanceOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=triton --test_mode=AccuracyOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=high_accuracy_triton --test_mode=PerformanceOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=bert --scenarios=Offline,Server,SingleStream --config_ver=high_accuracy_triton --test_mode=AccuracyOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-mobilenet --scenarios=Offline,MultiStream,SingleStream --config_ver=default --test_mode=PerformanceOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-mobilenet --scenarios=Offline,MultiStream,SingleStream --config_ver=default --test_mode=AccuracyOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-mobilenet --scenarios=Offline,MultiStream,SingleStream --config_ver=triton --test_mode=PerformanceOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-mobilenet --scenarios=Offline,MultiStream,SingleStream --config_ver=triton --test_mode=AccuracyOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-resnet34 --scenarios=Offline,Server,SingleStream,MultiStream --config_ver=default --test_mode=PerformanceOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-resnet34 --scenarios=Offline,Server,SingleStream,MultiStream --config_ver=default --test_mode=AccuracyOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-resnet34 --scenarios=Offline,Server,SingleStream,MultiStream --config_ver=triton --test_mode=PerformanceOnly --fast'",
-                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=ssd-resnet34 --scenarios=Offline,Server,SingleStream,MultiStream --config_ver=triton --test_mode=AccuracyOnly --fast'",
+                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=3d-unet --scenarios=Offline,SingleStream --config_ver=default --test_mode=PerformanceOnly --fast'",
+                @"sudo docker exec -u [a-z]+ mlperf-inference-[a-z]+-x86_64 sudo bash -c ""export MLPERF_SCRATCH_PATH=(.*)/scratch && make run RUN_ARGS='--benchmarks=3d-unet --scenarios=Offline,SingleStream --config_ver=default --test_mode=AccuracyOnly --fast'"
             };
         }
     }

src/VirtualClient/VirtualClient.Actions.UnitTests/Examples/MLPerf/Example_accuracy_summary1.json

@@ -0,0 +1,24 @@
+{
+    "accuracy": [
+        {
+            "name": "F1",
+            "pass": true,
+            "threshold": 89.96526,
+            "value": 90.2147015680108
+        }
+    ],
+    "accuracy_pass": true,
+    "benchmark_full": "bert-99",
+    "benchmark_short": "bert",
+    "config_name": "DGX-A100_A100-SXM4-40GBx8_TRT-custom_k_99_MaxP-Offline",
+    "detected_system": "SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name=\"AMD EPYC 7V12 64-Core Processor\", architecture=CPUArchitecture.x86_64, core_count=48, threads_per_core=1): 2}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=928.7656999999999, byte_suffix=ByteSuffix.GB), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout={GPU(name=\"NVIDIA A100-SXM4-40GB\", accelerator_type=AcceleratorType.Discrete, vram=Memory(quantity=40.0, byte_suffix=ByteSuffix.GiB), max_power_limit=400.0, pci_id=\"0x20B010DE\", compute_sm=80): 8}), numa_conf=NUMAConfiguration(numa_nodes={}, num_numa_nodes=4), system_id=\"DGX-A100_A100-SXM4-40GBx8\")",
+    "effective_min_duration_ms": 600000,
+    "effective_samples_per_query": 19800000,
+    "satisfies_query_constraint": true,
+    "scenario": "Offline",
+    "scenario_key": "result_samples_per_second",
+    "summary_string": "[PASSED] F1: 90.215 (Threshold=89.965)",
+    "system_name": "DGX-A100_A100-SXM4-40GBx8_TRT",
+    "tensorrt_version": "10.2.0",
+    "test_mode": "AccuracyOnly"
+}

src/VirtualClient/VirtualClient.Actions.UnitTests/Examples/MLPerf/Example_accuracy_summary2.json

@@ -0,0 +1,24 @@
+{
+    "accuracy": [
+        {
+            "name": "F1",
+            "pass": false,
+            "threshold": 1.0,
+            "value": 1.5
+        }
+    ],
+    "accuracy_pass": true,
+    "benchmark_full": "bert-99",
+    "benchmark_short": "bert",
+    "config_name": "DGX-A100_A100-SXM4-40GBx8_TRT-custom_k_99_MaxP-Offline",
+    "detected_system": "SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name=\"AMD EPYC 7V12 64-Core Processor\", architecture=CPUArchitecture.x86_64, core_count=48, threads_per_core=1): 2}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=928.7656999999999, byte_suffix=ByteSuffix.GB), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout={GPU(name=\"NVIDIA A100-SXM4-40GB\", accelerator_type=AcceleratorType.Discrete, vram=Memory(quantity=40.0, byte_suffix=ByteSuffix.GiB), max_power_limit=400.0, pci_id=\"0x20B010DE\", compute_sm=80): 8}), numa_conf=NUMAConfiguration(numa_nodes={}, num_numa_nodes=4), system_id=\"DGX-A100_A100-SXM4-40GBx8\")",
+    "effective_min_duration_ms": 600000,
+    "effective_samples_per_query": 19800000,
+    "satisfies_query_constraint": true,
+    "scenario": "Offline",
+    "scenario_key": "result_samples_per_second",
+    "summary_string": "[FAILED] F1: 90.215 (Threshold=89.965)",
+    "system_name": "DGX-A100_A100-SXM4-40GBx8_TRT",
+    "tensorrt_version": "10.2.0",
+    "test_mode": "AccuracyOnly"
+}

src/VirtualClient/VirtualClient.Actions.UnitTests/Examples/MLPerf/Example_performance_summary1.json

@@ -0,0 +1,18 @@
+{
+    "benchmark_full": "bert-99",
+    "benchmark_short": "bert",
+    "config_name": "DGX-A100_A100-SXM4-40GBx8_TRT-custom_k_99_MaxP-Server",
+    "detected_system": "SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name=\"AMD EPYC 7V12 64-Core Processor\", architecture=CPUArchitecture.x86_64, core_count=48, threads_per_core=1): 2}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=928.7656999999999, byte_suffix=ByteSuffix.GB), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout={GPU(name=\"NVIDIA A100-SXM4-40GB\", accelerator_type=AcceleratorType.Discrete, vram=Memory(quantity=40.0, byte_suffix=ByteSuffix.GiB), max_power_limit=400.0, pci_id=\"0x20B010DE\", compute_sm=80): 8}), numa_conf=NUMAConfiguration(numa_nodes={}, num_numa_nodes=4), system_id=\"DGX-A100_A100-SXM4-40GBx8\")",
+    "early_stopping_met": true,
+    "effective_min_duration_ms": 600000,
+    "effective_min_query_count": 100,
+    "result_completed_samples_per_sec": 25405.6,
+    "result_validity": "VALID",
+    "satisfies_query_constraint": false,
+    "scenario": "Server",
+    "scenario_key": "result_completed_samples_per_sec",
+    "summary_string": "result_completed_samples_per_sec: 25405.6, Result is VALID, 10-min runtime requirement met: True",
+    "system_name": "DGX-A100_A100-SXM4-40GBx8_TRT",
+    "tensorrt_version": "10.2.0",
+    "test_mode": "PerformanceOnly"
+}