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Tanish Manku
6d3443c098
* GPU memory: a graphics card's own memory isn't charged for the document; GPU Memory preference; GPU Memory Full in the status bar
Many layers hit a cliff: past what the GPU memory budget leaves for layer pages, every edit
that redraws the whole document (opacity, visibility, a nudge) goes to the CPU compositor.
Measured on 3000x2000 full-canvas layers (RTX 5090, 31 GB RAM, Memory Usage 8 GB): 150
layers took 2.6 s per such edit, 300 layers 6 s. The budget was Memory Usage minus the
document's pixels and History, which is right where the GPU shares system memory, but a
discrete card's memory doesn't hold the document, so 150 layers of 6 MP (3.6 GB) squeezed
the budget below what they needed.
- Automatic budget: discrete adapters are no longer charged for the document's pixels
(integrated and software adapters still are). 150 layers: 2.6 s -> 25 ms.
- Preferences › Performance › GPU Memory (MB, 0 = Automatic; performance.gpuMemoryMb) sets
the budget outright. 300 layers with 12 GB: 6 s -> 45-72 ms.
- The status bar shows "GPU Memory Full" while the active document's layers don't fit
(both status bar styles); hovering gives the numbers, clicking opens Preferences ›
Performance. Its Graphics rows show the budget and what the layers need. The slow CPU
redraw notice gives the numbers and points at GPU Memory.
- Headless: the preference is a normal pref (prefs.set), and ui.state's perf.timings
reports gpuLayerFit {doc, needed, budget} next to gpuBudgetMb.
Next (owner-approved plan): after #5370, read the card's real limit from the driver
(wgpu memory budget thresholds) and shrink on out-of-memory; then redraw the visible
area on the GPU first when layers still don't fit.
* GPU memory: typed discrete check; the status and budget follow a GPU Memory change at once (measure_fit); perf rows P60/P61 for whole-document edits among 150 full-canvas layers under the app's budget
* GPU memory on top of #5234: memory_budget takes the card's memory (vram) and the GPU Memory value; the document's pixels are charged unless the card's own memory is known; a set GPU Memory is capped at the card's share; benches use video_memory