unable to generate inference graph from model checkpoint

[Hashirroshan]

I'm using ssd_mobilenet_v2_coco for my custom data training. I completed the training process after 10000 iterations and I got model checkpoint-10000. after that, I tried to generate an interference graph using /tensorflow/models/research/object_detection/export_inference_graph.py using this command python export_inference_graph.py --input_type image_tensor --pipeline_config_path training/ssd_inception_v2_coco.config --trained_checkpoint_prefix training/model.ckpt-10000 --output_directory trained-inference-graphs/output_inference_graph_v1.pb
 but I got following error

(zero) pi@pi-HP-280-G1-MT:~/tf/training_demo$ python export_inference_graph.py --input_type image_tensor --pipeline_config_path training/pipeline_cocco.config --trained_checkpoint_prefix training/model.ckpt --output_directory trained-inference-graphs/output_inference_graph_v1.pb
Traceback (most recent call last):
  File "export_inference_graph.py", line 156, in <module>
    tf.app.run()
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 125, in run
    _sys.exit(main(argv))
  File "export_inference_graph.py", line 140, in main
    text_format.Merge(f.read(), pipeline_config)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 574, in Merge
    descriptor_pool=descriptor_pool)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 631, in MergeLines
    return parser.MergeLines(lines, message)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 654, in MergeLines
    self._ParseOrMerge(lines, message)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 676, in _ParseOrMerge
    self._MergeField(tokenizer, message)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 801, in _MergeField
    merger(tokenizer, message, field)
  File ["/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py",](url) line 875, in _MergeMessageField
    self._MergeField(tokenizer, sub_message)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 801, in _MergeField
    merger(tokenizer, message, field)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 875, in _MergeMessageField
    self._MergeField(tokenizer, sub_message)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 801, in _MergeField
    merger(tokenizer, message, field)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 875, in _MergeMessageField
    self._MergeField(tokenizer, sub_message)
  File "/home/pi/.virtualenvs/zero/lib/python3.5/site-packages/google/protobuf/text_format.py", line 768, in _MergeField
    (message_descriptor.full_name, name))
google.protobuf.text_format.ParseError: 35:7 : Message type "object_detection.protos.SsdFeatureExtractor" has no field named "batch_norm_trainable".

------------------------

### System information
- **What is the top-level directory of the model you are using**:
- **Have I written custom code (as opposed to using a stock example script provided in TensorFlow)**:
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:ubuntu 16.04
- **TensorFlow installed from (source or binary)**:
- **TensorFlow version (use command below)**:1.10.0
- **Bazel version (if compiling from source)**:
- **CUDA/cuDNN version**:9.0
- **GPU model and memory**:GT 730
- **Exact command to reproduce**:

You can collect some of this information using our environment capture script:

https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh

You can obtain the TensorFlow version with

`python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"`

### Describe the problem
Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow or a feature request.

### Source code / logs
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[dhkwon1122]

hi, @Hashirroshan
Did you solve the problem? I got same with you

[7wdeepin]

Search batch_norm_trainable: true in your pipeline.config, then remove the line.

[tensorflowbutler]

Hi There,
We are checking to see if you still need help on this, as this seems to be an old issue. Please update this issue with the latest information, code snippet to reproduce your issue and error you are seeing.
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