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): any
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: any
• TensorFlow installed from (source or binary): source
• TensorFlow version (use command below): master
• Python version: N/A
• Bazel version (if compiling from source): N/A
• GCC/Compiler version (if compiling from source): N/A
• CUDA/cuDNN version: N/A
• GPU model and memory: N/A
• Exact command to reproduce: ./configure

Describe the problem

When building TensorFlow as a library (and in our case using --config=monolithic), we used to remove as much as possible of the not used features. Recently, this was removed from master in d56c298 for AWS, HDFS, Kafka and GCP.

I understand that that having to deal with multiple optionnally-disabled features can be a huge burden for the future, but is it possible to have some way around ?