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Implement hypot function in keras.ops #21606
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Summary of Changes
Hello @shashaka, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces a new hypot function to keras.ops, enabling element-wise calculation of the hypotenuse of right triangles. This operation is mathematically equivalent to sqrt(x12 + x22) and supports broadcasting. The implementation covers NumPy, TensorFlow, PyTorch, and JAX backends, with an explicit exclusion for OpenVINO.
Highlights
- Introduced keras.ops.hypot: A new function for computing the element-wise hypotenuse of two tensors, x1 and x2, which is equivalent to sqrt(x12 + x22).
- Multi-backend support: The hypot function has been implemented and integrated across the JAX, NumPy, TensorFlow, and PyTorch backends, ensuring consistent behavior.
- OpenVINO exclusion: The hypot operation is explicitly marked as not supported for the OpenVINO backend, raising a NotImplementedError if attempted.
- API exposure and documentation: The new hypot function is exposed under keras.ops and keras.ops.numpy, complete with comprehensive docstrings and usage examples.
- Comprehensive testing: New tests have been added to keras/src/ops/numpy_test.py to verify the hypot function's symbolic shape inference, static shape behavior, correctness across various inputs, and dtype handling.
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Code Review
This pull request introduces keras.ops.hypot
for element-wise hypotenuse calculation, with support for NumPy, JAX, PyTorch, and TensorFlow backends. The implementation is well-structured and includes necessary API exports and tests. My main feedback concerns the numerical stability of the TensorFlow backend implementation, which could fail with large or small input values. I've suggested a more robust implementation. I also recommended enhancing the tests to cover these numerical stability edge cases. Overall, this is a valuable addition to the Keras API.
Codecov Report❌ Patch coverage is
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LGTM, thank you for the PR!
Adds keras.ops.hypot, which computes the element-wise hypotenuse of right triangles given two tensor inputs (x1 and x2).
Equivalent to computing sqrt(x12 + x22) with broadcasting support.
Supported across NumPy, TensorFlow, PyTorch, and JAX backends.
Not supported on OpenVINO.