【发布时间】：2016-09-29 07:28:51
【问题描述】：
运行 python3 脚本后，我得到以下语句，但不知道这 3 个错误来自何处。我正在使用 cudnn v5.0 但显然我在安装管道的某个地方出错了。任何帮助都会很棒。
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
【问题讨论】：
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您可以尝试禁用 SIP（系统完整性保护）
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这有帮助吗？
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我没试过，你确定禁用 SIP 是个好主意吗？只是因为阅读了一些内容。
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安装 TensorFlow GPU 时，必须禁用 SIP（即，当我的 SIP 恢复为默认值时，TF GPU 停止工作。我再次关闭它，它又开始工作了）
标签： tensorflow