Тензорный поток - установка Mac GPU

Question

После запуска сценария python3 я получаю следующие утверждения и не знаю, откуда берутся 3 ошибки. Я использую cudnn v5.0, но, очевидно, я ошибся где-то вдоль конвейера установки. Любая помощь будет фантастической.

I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.dylib locally 
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.dylib locally 
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.dylib locally 
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.1.dylib locally 
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.dylib locally 
number of elements at final reshape = %d. 61440 
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] OS X does not support NUMA - returning NUMA node zero 
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties: 
name: GeForce GT 750M 
major: 3 minor: 0 memoryClockRate (GHz) 0.9255 
pciBusID 0000:01:00.0 
Total memory: 2.00GiB 
Free memory: 1.28GiB 
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:838] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GT 750M, pci bus id: 0000:01:00.0) 
E tensorflow/stream_executor/cuda/cuda_dnn.cc:354] could not create cudnn handle: CUDNN_STATUS_NOT_INITIALIZED 
E tensorflow/stream_executor/cuda/cuda_dnn.cc:361] error retrieving driver version: Invalid argument: expected %d.%d or %d.%d.%d form for driver version; got "" 
E tensorflow/stream_executor/cuda/cuda_dnn.cc:321] could not destroy cudnn handle: CUDNN_STATUS_BAD_PARAM 
F tensorflow/core/kernels/conv_ops.cc:457] Check failed: stream->parent()->GetConvolveAlgorithms(&algorithms) 
Abort trap: 6 

Answer 1

Возможно, вы установили неправильный cuDNN!

Я была такая же probablem и был в состоянии исправить шахты, заменив мою cuDNN одним Compatiable: