WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".

You have bazel 0.24. installed.

Please specify the location of python. [Default is /usr/bin/python]: /usr/bin/python3.

Found possible Python library paths:

  /usr/lib/python3/dist-packages

  /usr/local/lib/python3./dist-packages

Please input the desired Python library path to use.  Default is [/usr/lib/python3/dist-packages]

Do you wish to build TensorFlow with XLA JIT support? [Y/n]: n

No XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: n

No OpenCL SYCL support will be enabled for TensorFlow.

Do you wish to build TensorFlow with ROCm support? [y/N]: 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.

Do you wish to build TensorFlow with TensorRT support? [y/N]: N

No TensorRT support will be enabled for TensorFlow.

Found CUDA 10.0 in:

    /usr/local/cuda/lib64

    /usr/local/cuda/include

Found cuDNN  in:

    /usr/local/cuda/lib64

    /usr/local/cuda/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: 7.5]:

Do you want to use clang as CUDA compiler? [y/N]: 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]: 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 -Wno-sign-compare]:

Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: 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 support.

    --config=dynamic_kernels    # (Experimental) Build kernels into separate shared objects.

    --config=v2              # Build TensorFlow .x instead of .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=noignite        # Disable Apache Ignite support.

    --config=nokafka         # Disable Apache Kafka support.

    --config=nonccl          # Disable NVIDIA NCCL support.

Configuration finished