cuda_config.h is required to build non-CUDA release

[abbradar]

System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): NixOS 18.03.git.869485a (Impala)
• TensorFlow installed from (source or binary): source
• TensorFlow version (use command below): 1.4
• Python version: 3.5
• Bazel version (if compiling from source): 0.7.0
• GCC/Compiler version (if compiling from source): 6.4.0
• CUDA/cuDNN version: -
• GPU model and memory: -
• Exact command to reproduce: bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package

Describe the problem

TensorFlow with CUDA support disabled doesn't build. CUDA support is disabled in ./configure.

Source code / logs

./tensorflow/stream_executor/dso_loader.h:32:30: fatal error: cuda/cuda_config.h: No such file or directory
 #include "cuda/cuda_config.h"

[abbradar]

It seems that disabling MPI support allows TensorFlow to be built.

[bignamehyp]

Thanks for your feedback.
What options you picked when running ./configure?

[abbradar]

      export TF_NEED_GCP=1
      export TF_NEED_HDFS=1
      export TF_ENABLE_XLA=1
      export TF_NEED_MPI=1
      export TF_NEED_CUDA=0

Others by default.

[bignamehyp]

@tfboyd @gunan

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