Models: "ValueError: model_dir should be non-empty" for RNN for Drawing Classification

Created on 26 Jan 2018  路  3Comments  路  Source: tensorflow/models

System information

  • What is the top-level directory of the model you are using: ~/networks/autodraw$
  • 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): 16.04
  • TensorFlow installed from (source or binary): pip
  • TensorFlow version (use command below):1.4.1
  • Bazel version (if compiling from source):
  • CUDA/cuDNN version: 8.0.61
  • GPU model and memory: Tesla K80 / 24 GB
  • Exact command to reproduce:

Describe the problem

I followed the tutorial as it is but its giving me "ValueError: model_dir should be non-empty".

Most helpful comment

The issue has been resolved by making a new directory and mentioning it in the --model_dir flag.

All 3 comments

This question is better asked on StackOverflow since it is not a bug or feature request. There is also a larger community that reads questions there. Thanks!

I also suggest you provide more details, e.g. a link to the documentation you're following, and the exact command that produced the error.

The issue has been resolved by making a new directory and mentioning it in the --model_dir flag.

this is referring to --output-dir, had this issue when the --output-dir was not local, but /home/me/etc/etc

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