Updates to support, and refactoring #29
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Tried to be more reluctant with requirements. Desired are only tensorflow, keras, and numpy. Hopefully without any constraints in the version numbers.
test_checks.py still fails.
The following tests fail: - test_Dense2_Activation() - test_dummy_layers() - test_repeat_vector() - test_Embedding1() - test_BatchNorm1() The following test is hanging: - test_SharedLayer1()
…ompatible with the current keras/tensorflow versions. Next steps: - Work on all tests that are getting stuck in loops - Work on a few tests that fail (C issues most likely).
Next steps: - Work on all tests that are getting stuck in loops - Work on a few tests that fail (C issues most likely).
Next steps: - Work on all tests that are getting stuck in loops - Work on a few tests that fail (C issues most likely).
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Create python-app.yml
…ess.run-calls-for-python-3.6 Ensure Python 3.6 compatibility in core layer tests
…ython-in-pyproject.toml Update pyproject requires-python
…re__-import-with-type_checking Fix runtime typing for Python 3.6
…t-markers-in-tests/requirements.txt Update test dependency markers
…ersion-to-dependencies Add pydantic to project deps
…s-using-uv-add Fix padding input mapping and update dependencies
…a-support-for-pytest Update conda env and tests
…nt-to-3.12 Update ruff workflow to Python 3.12
…r-silu-activation-in-keras2c Fix swish LSTM support
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…-warnings-on-github Fix warnings from Keras 3
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Support for Pythons 3.9 to 3.12 (using 3.12 as the base).
Changed linting from Flake8 to Ruff.
Use pydantic for typing.