Please specify the location of python.[Default is /home/milittle/anaconda3/bin/python] # 注意这个就是你刚才安装的python环境 Found possible Python library paths: /home/milittle/anaconda/lib/python3.6/site-packages Please input the desired Python library path to use. Default is [/home/milittle/anaconda3/lib/python3.6/site-packages] Do you wish to build TensorFlow with XLA JIT support? [Y/n]:Y Do you wish to build TensorFlow with OpenCL SUCL support?[y/N]:N Do you wish to build TensorFlow with ROCm support?[y/N]:N Do you wish to build TensorFlow with CUDA support?[y/N]:y Please specify the CUDA SDK version you want to use.[Leave empty to default to CUDA 10.0]:9.0 Please specify the location where CUDA 9.0 toolkit is installed. Refer to README.md for more details.[Default is /usr/local/cuda]:/home/milittle/cuda-9.0 Please specify the cuDNN version you want to use.[Leave empty to default to cuDNN 7]:7.1.4 Please specifu the location where cuDNN 7 library is installed.Refer to README.md for more details.[Default is /home/milittle/cuda-9.0]: Do you wish to build TensorFlow with TensorRT support?[y/N]:N Please specify the locally installed NCCL version you want to use. [Default is to use hppts://github.com/nvidia/nccl]: Please specify a list of comma-separated Cuda compute capabilities you want to build with. You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus. Please note that each additional compute capability significantly increases your build time and binary size. [Default is: 6.1, 6.1, 6.1, 6.1]:6.1 Do you want to use clang as CUDA compiler? [y/N]: nvcc will be used as CUDA compiler. Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]: Do you wish to build TensorFlow with MPI support? [y/N]: No MPI support will be enabled for TensorFlow. Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: Not configuring the WORKSPACE for Android builds.
Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details. --config=mkl # Build with MKL support. --config=monolithic # Config for mostly static monolithic build. --config=gdr # Build with GDR support --config=verbs # Build with libverbs support --config=ngraph # BUild with Intel nGraph support --config=numa # Build with NUMA suuport --config=dynamic_kernels # (Experimental) Build kernels into separate shared objects. Preconfigured Bazel build configs to DISABLE default on feature : --config=noaws # Disable AWS S3 filesystem support --config=nogcp # Disable GCP support --config=nohdfs # Disable HDFS support --config=noignite # Disable Apache Ignite support --config=nokafka # Disable Apache Kafka support --config=nonccl # Disable NVIDIA NCCL support Configuration finished