Default is ĭo you wish to build TensorFlow with Google Cloud Platform support? : Please input the desired Python library path to use. configure You have bazel 0.10.0 installed.
#Cuda drivers for mac high sierra driver
Supports MultiDevice Co-op Kernel Launch: Noĭevice PCI Domain ID / Bus ID / location ID: 0 / 196 / 0ĭeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime Version = 9.1, NumDevs = 1Ĭhange into your download directory and follow the post installation steps. Support host page-locked memory mapping: Yesĭevice supports Unified Addressing (UVA): Yes Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)Ĭoncurrent copy and kernel execution: Yes with 2 copy engine(s) Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Maximum number of threads per block: 1024
Maximum number of threads per multiprocessor: 2048 Total number of registers available per block: 65536 Total amount of shared memory per block: 49152 bytes Total amount of constant memory: 65536 bytes Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers (28) Multiprocessors, (128) CUDA Cores/MP: 3584 CUDA Cores Total amount of global memory: 11264 MBytes (11810963456 bytes) bin/x86_64/darwin/release/deviceQuery CUDA Device Query (Runtime API) version (CUDART static linking)ĬUDA Driver Version / Runtime Version 9.1 / 9.1ĬUDA Capability Major/Minor version number: 6.1
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