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conv specializes per element type, dimensionality and algorithm; a test suite or first real use pays for compiling each combination (the overlap-save edge kernels alone are ~24 method instances). A small PrecompileTools workload covers (Float64, Float32, ComplexF64) x 1/2/3-d x (:direct, :fft_simple, :fft_overlapsave) plus filt.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #666 +/- ##
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+ Coverage 97.98% 98.00% +0.01%
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Files 19 20 +1
Lines 3332 3354 +22
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+ Hits 3265 3287 +22
Misses 67 67 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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pankgeorg
marked this pull request as draft
August 31, 2026 10:16
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convspecializes per element type, dimensionality and algorithm, so a test suite or first real use pays for compiling each combination at runtime (the overlap-save edge kernels alone are ~24 method instances). This adds a small PrecompileTools workload covering (Float64, Float32, ComplexF64) × 1/2/3-d × (:direct, :fft_simple, :fft_overlapsave) plusfilt.Measured on aarch64, Julia 1.12: a cold run of
test/dsp.jlunderPkg.testflags drops from 222 s to 209 s (warm runs unchanged); the runtime-compiledunsafe_conv_kern_os_edge!instances go from 24 to 0. Package precompile grows by a few seconds, paid once.Tested: full test suite passes with the workload in place.