After fresh install of a lambda stack, ai-benchmark is not working

Question

I did a fresh Lambda Stack install. After I tested that tensorflow-gpu was indeed working, I tried running ai-benchmark (https://pypi.org/project/ai-benchmark/) but it is not working.

The output is the following:

Python 3.8.5 (default, Jul 28 2020, 12:59:40) 
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from ai_benchmark import AIBenchmark
2020-11-25 15:25:07.660243: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2020-11-25 15:25:07.663124: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
Invalid MIT-MAGIC-COOKIE-1 key>>> results = AIBenchmark().run()

>>   AI-Benchmark-v.0.1.2   
>>   Let the AI Games begin..

2020-11-25 15:25:24.179548: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 3693055000 Hz
2020-11-25 15:25:24.180403: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1a945d0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-11-25 15:25:24.180460: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-11-25 15:25:24.184604: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2020-11-25 15:25:24.261100: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.261618: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xe68480 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-11-25 15:25:24.261652: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): GeForce GTX 1080, Compute Capability 6.1
2020-11-25 15:25:24.261992: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.262970: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: GeForce GTX 1080 computeCapability: 6.1
coreClock: 1.7335GHz coreCount: 20 deviceMemorySize: 7.93GiB deviceMemoryBandwidth: 298.32GiB/s
2020-11-25 15:25:24.263022: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2020-11-25 15:25:24.266092: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2020-11-25 15:25:24.267408: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2020-11-25 15:25:24.267768: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2020-11-25 15:25:24.271212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.11
2020-11-25 15:25:24.272057: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2020-11-25 15:25:24.272208: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2020-11-25 15:25:24.272364: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.273190: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.273858: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2020-11-25 15:25:24.590979: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-11-25 15:25:24.591018: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 
2020-11-25 15:25:24.591023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N 
2020-11-25 15:25:24.591243: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.591711: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.592105: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/device:GPU:0 with 7018 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
2020-11-25 15:25:24.592836: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.593239: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: GeForce GTX 1080 computeCapability: 6.1
coreClock: 1.7335GHz coreCount: 20 deviceMemorySize: 7.93GiB deviceMemoryBandwidth: 298.32GiB/s
2020-11-25 15:25:24.593258: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2020-11-25 15:25:24.593294: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2020-11-25 15:25:24.593306: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2020-11-25 15:25:24.593316: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2020-11-25 15:25:24.593327: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.11
2020-11-25 15:25:24.593337: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2020-11-25 15:25:24.593347: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2020-11-25 15:25:24.593398: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.593806: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.594170: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2020-11-25 15:25:24.594193: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-11-25 15:25:24.594199: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 
2020-11-25 15:25:24.594203: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N 
2020-11-25 15:25:24.594272: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.594681: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.595055: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/device:GPU:0 with 7018 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
2020-11-25 15:25:24.595330: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.595714: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: GeForce GTX 1080 computeCapability: 6.1
coreClock: 1.7335GHz coreCount: 20 deviceMemorySize: 7.93GiB deviceMemoryBandwidth: 298.32GiB/s
2020-11-25 15:25:24.595730: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2020-11-25 15:25:24.595756: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2020-11-25 15:25:24.595766: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2020-11-25 15:25:24.595777: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2020-11-25 15:25:24.595787: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.11
2020-11-25 15:25:24.595796: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2020-11-25 15:25:24.595806: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2020-11-25 15:25:24.595853: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.596259: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.596622: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2020-11-25 15:25:24.596641: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-11-25 15:25:24.596646: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 
2020-11-25 15:25:24.596651: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N 
2020-11-25 15:25:24.596716: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.597125: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:24.597497: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/device:GPU:0 with 7018 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
*  TF Version: 2.3.1
*  Platform: Linux-5.4.0-54-generic-x86_64-with-glibc2.29
*  CPU: N/A
*  CPU RAM: 16 GB
*  GPU/0: GeForce GTX 1080
*  GPU RAM: 6.9 GB
*  CUDA Version: 11.1
*  CUDA Build: V11.1.74

The benchmark is running...
The tests might take up to 20 minutes
Please dont interrupt the script

1/19. MobileNet-V2

2020-11-25 15:25:31.191492: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.192235: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: GeForce GTX 1080 computeCapability: 6.1
coreClock: 1.7335GHz coreCount: 20 deviceMemorySize: 7.93GiB deviceMemoryBandwidth: 298.32GiB/s
2020-11-25 15:25:31.192286: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2020-11-25 15:25:31.192354: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2020-11-25 15:25:31.192387: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2020-11-25 15:25:31.192418: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2020-11-25 15:25:31.192448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.11
2020-11-25 15:25:31.192474: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2020-11-25 15:25:31.192500: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2020-11-25 15:25:31.192644: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.193372: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.194012: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2020-11-25 15:25:31.194810: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.195522: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: GeForce GTX 1080 computeCapability: 6.1
coreClock: 1.7335GHz coreCount: 20 deviceMemorySize: 7.93GiB deviceMemoryBandwidth: 298.32GiB/s
2020-11-25 15:25:31.195556: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2020-11-25 15:25:31.195604: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2020-11-25 15:25:31.195632: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2020-11-25 15:25:31.195658: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2020-11-25 15:25:31.195681: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.11
2020-11-25 15:25:31.195700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2020-11-25 15:25:31.195724: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2020-11-25 15:25:31.195822: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.196510: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.197127: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2020-11-25 15:25:31.197169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-11-25 15:25:31.197181: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 
2020-11-25 15:25:31.197193: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N 
2020-11-25 15:25:31.197330: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.198053: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-11-25 15:25:31.198703: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7018 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
2020-11-25 15:25:32.271855: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2020-11-25 15:25:32.835532: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
1.1 - inference | batch=50, size=224x224: 57.9 ± 1.5 ms
Could not load library libcudnn_cnn_train.so.8. Error: libcudnn_ops_train.so.8: cannot open shared object file: No such file or directory
Please make sure libcudnn_cnn_train.so.8 is in your library path!
[MINI:25659] *** Process received signal ***
[MINI:25659] Signal: Aborted (6)
[MINI:25659] Signal code:  (-6)
[MINI:25659] [ 0] /lib/x86_64-linux-gnu/libc.so.6(+0x46210)[0x7fd617cd0210]
[MINI:25659] [ 1] /lib/x86_64-linux-gnu/libc.so.6(gsignal+0xcb)[0x7fd617cd018b]
[MINI:25659] [ 2] /lib/x86_64-linux-gnu/libc.so.6(abort+0x12b)[0x7fd617caf859]
[MINI:25659] [ 3] /usr/lib/python3/dist-packages/tensorflow/python/../libcudnn.so.8(cudnnGetConvolutionBackwardFilterWorkspaceSize+0xc9)[0x7fd5a4089959]
[MINI:25659] [ 4] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(cudnnGetConvolutionBackwardFilterWorkspaceSize+0x5f)[0x7fd5da35f9cf]
[MINI:25659] [ 5] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(+0x1516c4d)[0x7fd5da340c4d]
[MINI:25659] [ 6] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(_ZN15stream_executor3gpu12CudnnSupport23DoPrepareForConvolutionENS_3dnn15ConvolutionKindENS2_8DataTypeEPNS_6StreamERKNS2_15BatchDescriptorENS_16DeviceMemoryBaseERKNS2_16FilterDescriptorESA_S9_SA_RKNS2_21ConvolutionDescriptorERKNS2_15AlgorithmConfigEPNS_16ScratchAllocatorEPNS2_13AlgorithmDescEPNS_12DeviceMemoryIhEE+0xfc9)[0x7fd5da34bdd9]
[MINI:25659] [ 7] /usr/lib/python3/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.cpython-38-x86_64-linux-gnu.so(_ZN15stream_executor6Stream39ThenConvolveBackwardFilterWithAlgorithmERKNS_3dnn15BatchDescriptorERKNS_12DeviceMemoryIfEES4_S6_RKNS1_21ConvolutionDescriptorERKNS1_16FilterDescriptorEPS6_PNS_16ScratchAllocatorERKNS1_15AlgorithmConfigEPNS1_13ProfileResultE+0xa4b)[0x7fd5f1a781ab]
[MINI:25659] [ 8] /usr/lib/python3/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.cpython-38-x86_64-linux-gnu.so(_ZN10tensorflow28LaunchConv2DBackpropFilterOpIN5Eigen9GpuDeviceEfEclEPNS_15OpKernelContextEbbRKNS_6TensorES8_iiiiRKNS_7PaddingERKSt6vectorIxSaIxEEPS6_NS_12TensorFormatE+0x1a18)[0x7fd5edc5e4b8]
[MINI:25659] [ 9] /usr/lib/python3/dist-packages/tensorflow/python/_pywrap_tensorflow_internal.cpython-38-x86_64-linux-gnu.so(_ZN10tensorflow22Conv2DBackpropFilterOpIN5Eigen9GpuDeviceEfE7ComputeEPNS_15OpKernelContextE+0x23b)[0x7fd5edc5f8bb]
[MINI:25659] [10] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(_ZN10tensorflow13BaseGPUDevice7ComputeEPNS_8OpKernelEPNS_15OpKernelContextE+0x245)[0x7fd5d9e47675]
[MINI:25659] [11] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(+0x10e2307)[0x7fd5d9f0c307]
[MINI:25659] [12] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(+0x10e3c13)[0x7fd5d9f0dc13]
[MINI:25659] [13] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(_ZN5Eigen15ThreadPoolTemplIN10tensorflow6thread16EigenEnvironmentEE10WorkerLoopEi+0x2a5)[0x7fd5d9facf75]
[MINI:25659] [14] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(_ZNSt17_Function_handlerIFvvEZN10tensorflow6thread16EigenEnvironment12CreateThreadESt8functionIS0_EEUlvE_E9_M_invokeERKSt9_Any_data+0x47)[0x7fd5d9fa9f57]
[MINI:25659] [15] /usr/lib/python3/dist-packages/tensorflow/python/../libtensorflow_framework.so.2(+0x1171cef)[0x7fd5d9f9bcef]
[MINI:25659] [16] /lib/x86_64-linux-gnu/libpthread.so.0(+0x9609)[0x7fd617c70609]
[MINI:25659] [17] /lib/x86_64-linux-gnu/libc.so.6(clone+0x43)[0x7fd617dac293]
[MINI:25659] *** End of error message ***
Aborted (core dumped)

Can someone point me in the right direction? Many thanks.

Please forgive the following, I am told my post is mostly code so I should increase my text.

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After fresh install of a lambda stack, ai-benchmark is not working

Answers (1)

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