transformers - 💡(How to fix) Fix Only tensorboard is installed without TensorFlow, causing undefined tf backend error

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Error Message

File "<string>", line 1, in <module> File "/usr/local/lib/python3.12/dist-packages/transformers/init.py", line 795, in <module> sys.modules[name] = _LazyModule( ^^^^^^^^^^^^ File "/usr/local/lib/python3.12/dist-packages/transformers/utils/import_utils.py", line 2100, in init raise ValueError( ValueError: Backend should be defined in the BACKENDS_MAPPING. Offending backend: tf

Code Example

python -c "import transformers"

---

File "<string>", line 1, in <module>
  File "/usr/local/lib/python3.12/dist-packages/transformers/__init__.py", line 795, in <module>
    sys.modules[__name__] = _LazyModule(
                            ^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/transformers/utils/import_utils.py", line 2100, in __init__
    raise ValueError(
ValueError: Backend should be defined in the BACKENDS_MAPPING. Offending backend: tf
RAW_BUFFERClick to expand / collapse

System Info

  • Docker Image: verlai/verl:vllm018.dev1
  • Transformers version: 5.5.4 (manually updated)
  • Python version: 3.12
  • Dependencies: TensorFlow is NOT installed, only TensorBoard is installed

Who can help?

No response

Information

  • The official example scripts
  • My own modified scripts

Tasks

  • An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
  • My own task or dataset (give details below)

Reproduction

  1. Run the docker container: verlai/verl:vllm018.dev1
  2. Update the transformers library to version 5.5.4
  3. Execute the test command:
    python -c "import transformers"
File "<string>", line 1, in <module>
  File "/usr/local/lib/python3.12/dist-packages/transformers/__init__.py", line 795, in <module>
    sys.modules[__name__] = _LazyModule(
                            ^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/transformers/utils/import_utils.py", line 2100, in __init__
    raise ValueError(
ValueError: Backend should be defined in the BACKENDS_MAPPING. Offending backend: tf

Issue Description

When importing the transformers library in the specified Docker environment, a ValueError is thrown. TensorFlow is completely uninstalled in the environment (only TensorBoard exists). The library incorrectly attempts to validate the TensorFlow (tf) backend and fails, even though TensorFlow is not required or present.

Expected behavior

Importing transformers should succeed without checking/loading the TensorFlow backend when TensorFlow is not installed in the environment.

extent analysis

TL;DR

The issue can be resolved by setting the TRANSFORMERS_NO_TF environment variable to avoid TensorFlow backend validation when importing the transformers library.

Guidance

  • Set the TRANSFORMERS_NO_TF environment variable before importing the transformers library to prevent TensorFlow backend validation.
  • Verify that TensorFlow is completely uninstalled in the environment, as only TensorBoard is required.
  • Check the transformers library documentation for any specific configuration options related to backend selection.
  • Consider modifying the Docker image to set the TRANSFORMERS_NO_TF environment variable by default.

Example

import os
os.environ['TRANSFORMERS_NO_TF'] = '1'
import transformers

Notes

This solution assumes that the transformers library version 5.5.4 supports the TRANSFORMERS_NO_TF environment variable. If this variable is not supported, alternative solutions may be required.

Recommendation

Apply the workaround by setting the TRANSFORMERS_NO_TF environment variable, as it is a non-intrusive solution that does not require modifying the Docker image or the transformers library.

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FAQ

Expected behavior

Importing transformers should succeed without checking/loading the TensorFlow backend when TensorFlow is not installed in the environment.

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transformers - 💡(How to fix) Fix Only tensorboard is installed without TensorFlow, causing undefined tf backend error