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https://github.com/gohugoio/hugo.git
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Bjørn Erik Pedersen
e569dd59a0
*- Dynamic pool sizing for WebP and Katex based on CPU count
- WebP decode: use RGB (3 bytes) for opaque images instead of RGBA (4 bytes)
- Add new imaging.config with new encoder method option; this is default 4 (what we had before), if have tested with value 2 for a 30% speedup on my MacBook, but that does sacrifice quality in some cases (quality/speed trade-off 0-6)
- Track hasAlpha in decode response to enable RGB optimization
- Scale image processing workers (1->2) on high-core machines
- Add WebP benchmark test
On my MacBook Pro M1 Pro, I now get these numbers compared to Hugo v0.152.0:
```
goos: darwin
goarch: arm64
pkg: github.com/gohugoio/hugo/internal/warpc
cpu: Apple M1 Pro
│ cmp152.bench │ fix-webpbench.bench │
│ sec/op │ sec/op vs base │
Webp-10 162.6m ± 32% 145.3m ± 21% -10.60% (p=0.026 n=6)
│ cmp152.bench │ fix-webpbench.bench │
│ B/op │ B/op vs base │
Webp-10 41.69Mi ± 0% 123.79Mi ± 0% +196.92% (p=0.002 n=6)
│ cmp152.bench │ fix-webpbench.bench │
│ allocs/op │ allocs/op vs base │
Webp-10 9.963k ± 3% 18.797k ± 2% +88.67% (p=0.002 n=6)
```
For general image resize benchmarks compared to Hugo v0.152.0 (note that that's not the result of this branch):
```bash
goos: darwin
goarch: arm64
pkg: github.com/gohugoio/hugo/resources/images
cpu: Apple M1 Pro
│ cmp152.bench │ fix-webpbench.bench │
│ sec/op │ sec/op vs base │
ImageResize-10 84.12m ± ∞ ¹ 40.70m ± ∞ ¹ -51.61% (p=0.029 n=4)
¹ need >= 6 samples for confidence interval at level 0.95
│ cmp152.bench │ fix-webpbench.bench │
│ B/op │ B/op vs base │
ImageResize-10 32.37Mi ± ∞ ¹ 29.25Mi ± ∞ ¹ -9.64% (p=0.029 n=4)
¹ need >= 6 samples for confidence interval at level 0.95
│ cmp152.bench │ fix-webpbench.bench │
│ allocs/op │ allocs/op vs base │
ImageResize-10 11.34k ± ∞ ¹ 12.03k ± ∞ ¹ +6.07% (p=0.029 n=4)
¹ need >= 6 samples for confidence interval at level 0.95
```
Closes #14370