text: 
  
  TITLE
  [Good first issue] LXMERT TensorFlow Integration tests
  
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  The TensorFlow implementation of the LXMERT model currently has no integration tests. This is problematic as the behavior can diverge without being noticed.
  
  The [test_modeling_tf_lxmert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_tf_lxmert.py) file should be updated to include integration testing.
  
  An example of a good modeling integration test is visible in the [test_modeling_tf_bert.py#L365-L387](https://github.com/huggingface/transformers/blob/1809de5165804666ba6c6a02a9d177f6683869cc/tests/test_modeling_tf_bert.py#L365-L387) file:
  
  https://github.com/huggingface/transformers/blob/1809de5165804666ba6c6a02a9d177f6683869cc/tests/test_modeling_tf_bert.py#L365-L387
  
  Some additional tips:
  - The test must be marked as slow using the `@slow` decorator, so as to be run *daily*, and not on every commit of every branch/pull request of this repository.
  - The test must be decorated with the `@require_tf` decorator so as to only be run in environments using PyTorch.
  - A single test is necessary. If you feel like implementing multiple of these, then sharing the same checkpoint would be ideal so as to reduce download time.