tensorflow / tensorflow/models
AttributeError: 'EnumTypeWrapper' object has no attribute 'TF_SEQUENCE_EXAMPLE'
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Since May 28, 2020.
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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 1.15.
- [X ] I am reporting the issue to the correct repository. (Model Garden research directory)
- [ X] I checked to make sure that this issue has not been filed already.
1. The entire URL of the file you are using
https://github.com/tensorflow/models/blob/master/research/object_detection/inputs_test.py
2. Describe the bug
Not able to run the model training. Tried running input test file but failed with 11 errors.
AttributeError: 'EnumTypeWrapper' object has no attribute 'TF_SEQUENCE_EXAMPLE'
NameError: name 'context_rcnn_meta_arch' is not defined
3. Steps to reproduce
Installed the new version following the steps as in
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md
Tested the installation with below command and its success.
python object_detection/builders/model_builder_tf1_test.py
4. Expected behavior
Model should run without any issues
5. Additional context
Attached test output logs.
model_builder_test_logs.log
input_test_error_logs.log
Include any logs that would be helpful to diagnose the problem.
6. System information
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 16.04
- Mobile device name if the issue happens on a mobile device:
- TensorFlow installed from (source or binary): pip install
- TensorFlow version (use command below): v1.15.0-rc3-22-g590d6ee 1.15.0
- Python version: Same issue in both 2 and 3
- Bazel version (if compiling from source):
- GCC/Compiler version (if compiling from source):
- CUDA/cuDNN version:
- GPU model and memory:
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.