ML.NET support CUDA 11

Question

Loading model from: F:\V2Sorter\DataSet\03.01.2021\imageClassifier_2.zip
2021-04-16 16:06:33.457209: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:03:00.0 name: GeForce RTX 3080 computeCapability: 8.6
coreClock: 1.905GHz coreCount: 68 deviceMemorySize: 10.00GiB deviceMemoryBandwidth: 707.88GiB/s
2021-04-16 16:06:33.458465: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2021-04-16 16:06:33.459114: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2021-04-16 16:06:33.459639: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2021-04-16 16:06:33.460164: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2021-04-16 16:06:33.460705: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2021-04-16 16:06:33.461270: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll
2021-04-16 16:06:33.461946: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2021-04-16 16:06:33.462589: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2021-04-16 16:06:33.463409: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2021-04-16 16:06:33.464111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-04-16 16:06:33.464830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0
2021-04-16 16:06:33.465221: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N
2021-04-16 16:06:33.465788: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7745 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3080, pci bus id: 0000:03:00.0, compute capability: 8.6)
Exception thrown: 'System.EntryPointNotFoundException' in Microsoft.ML.Vision.dll
device is disconnected
Exception thrown: 'System.IO.FileNotFoundException' in mscorlib.dll
Exception thrown: 'System.IO.FileNotFoundException' in mscorlib.dll
The thread 0x2f80 has exited with code 0 (0x0).

I'm using "SciSharp.TensorFlow.Redist-Windows-GPU" with CUDA 2.4.0 support but get the exception "Exception thrown: 'System.EntryPointNotFoundException' in Microsoft.ML.Vision.dll"
what could be the problem?

Answer 1

Hello,

Thanks for reaching out to us. But the tag azure-machine-learning is not the right tag for ML.NET. I have added the right tag for it and also there is another good forum in gitter as well: https://gitter.im/dotnet/mlnet?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge

Regards,
Yutong