tensorflow / tensorflow/models

Object Detection API with TF2 AtributeError: module 'tensorflow' has no attribute 'contrib' from object_detection.builders import model_builder

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models:research:odapi type:bug
Dominant language
Python
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Description

Prerequisites

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

  • [ x] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
  • [ x] I am reporting the issue to the correct repository. (Model Garden official or research directory)
  • [ x] 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 trying to import model_builder using following line in my jupyter notebook:
from object_detection.builders import model_builder

get the following error
TF2 AtributeError: module 'tensorflow' has no attribute 'contrib'

Have searched and past discussion is this is error is due to Object Detection being attempted to run with TF2 instead of TF1 but, 10 days ago Object Detection API released in TF2.

3. Steps to reproduce

Steps to reproduce the behavior.
Have Jupyter notebook,
running tensorflow 2.3
have line of code specified above to import model_builder and fails as discussed

4. Expected behavior

Expect no error.

5. Additional context

Include any logs that would be helpful to diagnose the problem.

6. System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows running Jupyter notebook in a conda environment
  • Mobile device name if the issue happens on a mobile device:
  • TensorFlow installed from (source or binary): (pip install)
  • TensorFlow version (use command below): 2.3.0-rc2
  • Python version: 3.7.4
  • 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

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