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I ran the following command: nohup make generate_engines RUN_ARGS="--benchmarks=stable-diffusion-xl --scenarios=offline" 2>&1 | tee -a /Inference_Store/mlperf_4.1.5_inference_data/mlperf-logs/generate_engines_offline
And ran into the following errors.
[2025-02-06 15:29:21,626 systems.py:174 WARNING] nvidia-smi command exists but failed to execute - Ignoring NUMA detection.
[2025-02-06 15:29:21,870 main.py:227 INFO] Detected system did not match any known systems. Exiting. SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name='Cortex-A78AE', architecture=<CPUArchitecture.aarch64: AliasedName(name='aarch64', aliases=(), patterns=())>, core_count=4, threads_per_core=1): 1}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=64.348844, byte_suffix=<ByteSuffix.GB: (1000, 3)>, _num_bytes=64348844000), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout=defaultdict(<class 'int'>, {GPU(name='CTI Forge + Orin AGX', accelerator_type=<AcceleratorType.Integrated: AliasedName(name='Integrated', aliases=(), patterns=())>, vram=None, max_power_limit=None, pci_id=None, compute_sm=87): 1})), numa_conf=None, system_id=None)
(mlperf) nvidia@mlperf-inference-nvidia-aarch64-1018:/closed/NVIDIA$ nvidia-smi
Thu Feb 6 15:34:15 2025
Any advice on how to resolve this issue? How can I ensure my system is detected and how can I check what my known systems are.
NVIDIA-SMI version: 540.4.0
Cuda version: 12.6
Driver version 540.4.0
The text was updated successfully, but these errors were encountered:
Hello,
I ran the following command: nohup make generate_engines RUN_ARGS="--benchmarks=stable-diffusion-xl --scenarios=offline" 2>&1 | tee -a /Inference_Store/mlperf_4.1.5_inference_data/mlperf-logs/generate_engines_offline
And ran into the following errors.
[2025-02-06 15:29:21,626 systems.py:174 WARNING] nvidia-smi command exists but failed to execute - Ignoring NUMA detection.
[2025-02-06 15:29:21,870 main.py:227 INFO] Detected system did not match any known systems. Exiting. SystemConfiguration(host_cpu_conf=CPUConfiguration(layout={CPU(name='Cortex-A78AE', architecture=<CPUArchitecture.aarch64: AliasedName(name='aarch64', aliases=(), patterns=())>, core_count=4, threads_per_core=1): 1}), host_mem_conf=MemoryConfiguration(host_memory_capacity=Memory(quantity=64.348844, byte_suffix=<ByteSuffix.GB: (1000, 3)>, _num_bytes=64348844000), comparison_tolerance=0.05), accelerator_conf=AcceleratorConfiguration(layout=defaultdict(<class 'int'>, {GPU(name='CTI Forge + Orin AGX', accelerator_type=<AcceleratorType.Integrated: AliasedName(name='Integrated', aliases=(), patterns=())>, vram=None, max_power_limit=None, pci_id=None, compute_sm=87): 1})), numa_conf=None, system_id=None)
(mlperf) nvidia@mlperf-inference-nvidia-aarch64-1018:/closed/NVIDIA$ nvidia-smi
Thu Feb 6 15:34:15 2025
Any advice on how to resolve this issue? How can I ensure my system is detected and how can I check what my known systems are.
NVIDIA-SMI version: 540.4.0
Cuda version: 12.6
Driver version 540.4.0
The text was updated successfully, but these errors were encountered: