Affine CV-CUDA Backend#9294
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justincdavis wants to merge 19 commits intopytorch:mainfrom
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| if make_input is make_image_cvcuda: | ||
| # CV-CUDA nearest interpolation does not follow same algorithm as PIL/torch | ||
| assert mae < 255 if interpolation is transforms.InterpolationMode.NEAREST else 1, f"mae: {mae}" | ||
| else: | ||
| assert mae < 2 if interpolation is transforms.InterpolationMode.NEAREST else 8, f"mae: {mae}" |
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enum comparison is preferred to use "==".
Also see comment here
The threshold number might need more investigations. @NicolasHug
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| interp = _get_cvcuda_interp(interpolation) | ||
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| xform = np.array([[matrix[0], matrix[1], matrix[2]], [matrix[3], matrix[4], matrix[5]]], dtype=np.float32) |
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We can rewrite this to np.array(matrix, dtype=np.float32).reshape(2, 3) for simplicity.
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Summary
Affine CV-CUDA backend
Testing
python3 -m pytest test/test_transforms_v2.py::TestAffine