Windows config output

gistfile1.txt

$ python ./configure.py
2019/12/02 22:51:37 Downloading https://releases.bazel.build/1.1.0/release/bazel-1.1.0-windows-x86_64.exe...
Extracting Bazel installation...
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 1.1.0 installed.
Please specify the location of python. [Default is C:\Users\angerson\AppData\Local\Programs\Python\Python37\python.exe]:


Found possible Python library paths:
  C:\Users\angerson\AppData\Local\Programs\Python\Python37\lib\site-packages
Please input the desired Python library path to use.  Default is [C:\Users\angerson\AppData\Local\Programs\Python\Python37\lib\site-packages]

Do you wish to build TensorFlow with XLA JIT support? [y/N]:
No XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with ROCm support? [y/N]:
No ROCm support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: y
CUDA support will be enabled for TensorFlow.

Found CUDA 10.1 in:
    C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/lib/x64
    C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include
Found cuDNN 7 in:
    C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/lib/x64
    C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/include


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, and that TensorFlow only supports compute capabilities >= 3.5 [Default is: 3.5,7.0]:


Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is /arch:AVX]:


Would you like to override eigen strong inline for some C++ compilation to reduce the compilation time? [Y/n]: n
Not overriding eigen strong inline, some compilations could take more than 20 mins.

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=ngraph         # Build with Intel nGraph support.
        --config=numa           # Build with NUMA support.
        --config=dynamic_kernels        # (Experimental) Build kernels into separate shared objects.
        --config=v2             # Build TensorFlow 2.x instead of 1.x.
Preconfigured Bazel build configs to DISABLE default on features:
        --config=noaws          # Disable AWS S3 filesystem support.
        --config=nogcp          # Disable GCP support.
        --config=nohdfs         # Disable HDFS support.
        --config=nonccl         # Disable NVIDIA NCCL support.