refactor: better use of autograd for base lens quantities #1013
Annotations
4 warnings
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Test with pytest:
<frozen importlib._bootstrap>#L241
numpy.ndarray size changed, may indicate binary incompatibility. Expected 80 from C header, got 96 from PyObject
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Test with pytest:
Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/numba/core/decorators.py#L262
numba.generated_jit is deprecated. Please see the documentation at: https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-generated-jit for more information and advice on a suitable replacement.
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Test with pytest:
src/caustics/lenses/batchedplane.py#L50
Lens model sie_3 has a static lens redshift. This is now overwritten by the BatchedPlane (lens) lens redshift. To prevent this warning, set the lens redshift of the lens model to be dynamic before adding to the system.
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Test with pytest:
src/caustics/lenses/func/pixelated_convergence.py#L326
Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Convolution.cpp:1037.)
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