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):
  Ubuntu 16.04.4 LTS on Windows Linux SubSystem
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
  n/a
• TensorFlow installed from (source or binary):
  binary
• TensorFlow version (use command below):
  '2.0.0-preview' / "b'v1.12.0-6503-g7cfe43a11d'"
• Python version:
  Python 3.6.7
• Bazel version (if compiling from source):
• GCC/Compiler version (if compiling from source):
• CUDA/cuDNN version: No
• GPU model and memory: No

You can collect some of this information using our environment capture script
You can also obtain the TensorFlow version with
python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)" => this doesn't work, you mean tf.version.x

Describe the current behavior
Segmentation fault (core dumped)
Describe the expected behavior
prints result
Code to reproduce the issue

import numpy as np
import tensorflow as tf
record_defaults=np.zeros(5)    
parsed_fields = tf.io.decode_csv(tf.constant('1,2,3,4,5'), record_defaults)

Other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

It's fine with either tf.constants for record defaults or plain string to decode, eg:

parsed_fields = tf.io.decode_csv('1,2,3,4,5', record_defaults)


Numpy version: 
numpy                     1.16.0          py36_blas_openblash1522bff_1000  [blas_openblas]  conda-forge