tensorflow / tensorflow/models

'NoneType' object is not iterable

Open
#10,655 2 comments 0 reactions 1 assignee View on GitHub

Nobody has claimed this yet.

models:research type:bug
Dominant language
Python
Stars
77.7k
Forks
44.8k
PR merge metrics
No merged PRs in 30d

Description

Prerequisites

Please answer the following questions for yourself before submitting an issue.

  • I am using the latest TensorFlow Model Garden release and TensorFlow 2.
  • I am reporting the issue to the correct repository. (Model Garden official or research directory)
  • I checked to make sure that this issue has not already been filed.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/research/...

2. Describe the bug

When I am doing the evaluation part, I am not able to get the evaluation part they say : for evaluator in evaluators: 'NoneType' object is not iterable

3. Steps to reproduce

Train the model, use the checkpoint for evaluation and see the issue

4. Expected behavior

I am expecting to have the Accuracy for the efficientDet model

5. Additional context

for evaluator in evaluators:
TypeError : 'NoneType' object is not iterable

6. System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  • Mobile device name if the issue happens on a mobile device:
  • TensorFlow installed from (source or binary):
  • TensorFlow version (use command below):
  • Python version:
  • Bazel version (if compiling from source):
  • GCC/Compiler version (if compiling from source):
  • CUDA/cuDNN version:
  • GPU model and memory:

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.