Add dot(), dot3(), and dot4() methods to SimdFloat and tests to existing dot product functions#491
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GrigoryEvko wants to merge 3 commits intorust-lang:masterfrom
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Add dot(), dot3(), and dot4() methods to SimdFloat and tests to existing dot product functions#491GrigoryEvko wants to merge 3 commits intorust-lang:masterfrom
GrigoryEvko wants to merge 3 commits intorust-lang:masterfrom
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Quality of life improvement for dot product operations. Entirely optional - feel free to reject if this adds unnecessary API surface. Methods: - dot(rhs) - Full dot product (sugar for (self * rhs).reduce_sum()) - dot3(rhs) - 3D dot product (first 3 elements, w component ignored) - dot4(rhs) - 4D dot product (first 4 elements only) Rationale: - dot3()/dot4() reduce boilerplate in graphics/physics code - dot() provides discoverability and matches industry libraries (NumPy, GLM, Eigen) - All methods are inline, zero-cost abstractions Implementation: - dot() delegates to (self * rhs).reduce_sum() - dot3()/dot4() use compile-time assertions for size safety - Zero allocations, pure SIMD register operations Testing (26 tests): - Mathematical properties (commutativity, distributivity, scaling) - Special values (infinity, NaN, MAX, MIN, subnormals) - Size variations (f32x2, f32x4, f32x8, f64x2, f64x4, f64x8) - Edge cases (orthogonal vectors, zero vectors, negative values) - w component correctly ignored in dot3() - Elements beyond index correctly ignored in dot3()/dot4() The decision to include this is completely up to maintainers. Happy to close if you feel it's not worth the API complexity. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
ARM NEON uses flush-to-zero (FTZ) for subnormal values in SIMD operations. Updated tests to accept either the correct subnormal result or zero.
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Quality of life improvement for dot product operations. Entirely optional - feel free to reject if this adds
unnecessary API surface.
Methods:
dot(rhs)- Full dot product (alias for(self * rhs).reduce_sum())dot3(rhs)- 3D dot product (first 3 elements, w component ignored)dot4(rhs)- 4D dot product (first 4 elements only)Rationale:
dot3()/dot4()reduce boilerplate in graphics/physics codedot()provides discoverability and matches industry libraries (NumPy, GLM, Eigen)Implementation:
dot()delegates to(self * rhs).reduce_sum()dot3()/dot4()use compile-time assertions for size safetyTesting:
Happy to close if you feel it's not worth the API complexity.