Render graph: configurable DAG of render passes

[brendancol]

Context

Roadmap Phase 2 item (see #57). The current render pipeline is a fixed sequence hardcoded in _update_frame() and analysis/render.py. Adding or removing passes (AO, denoiser, DOF) requires editing control flow and managing buffer dependencies manually. A render graph makes the pipeline declarative and extensible.

Goal

A lightweight DAG of render passes that:

• Declares inputs/outputs per pass (buffer names + formats)
• Auto-resolves execution order from data dependencies
• Allocates/reuses GPU buffers based on lifetime analysis
• Makes it trivial to add, remove, or reorder passes without touching other passes

Proposed Passes

GBuffer → Shadow → AO → GI → Denoise → Tonemap → Composite

Pass	Inputs	Outputs
GBuffer	scene (OptiX launch)	albedo, normal, depth, position, material_id
Shadow	position, normal, sun_dir	shadow_mask
AO	position, normal, depth	ao_map
GI	position, normal, albedo, shadow_mask	indirect_light
Denoise	color, albedo, normal	denoised_color
Tonemap	denoised_color	ldr_color
Composite	ldr_color, overlays, HUD	final_framebuffer

Design

Pass Interface

class RenderPass:
 name: str
 inputs: dict[str, BufferDesc] # name → (dtype, channels)
 outputs: dict[str, BufferDesc]
 enabled: bool = True

 def setup(self, graph: RenderGraph) -> None: ...
 def execute(self, buffers: dict[str, DeviceBuffer]) -> None: ...
 def teardown(self) -> None: ...

Graph

class RenderGraph:
 def add_pass(self, pass_: RenderPass) -> None: ...
 def remove_pass(self, name: str) -> None: ...
 def compile(self) -> list[RenderPass]:
 """Topological sort, buffer lifetime analysis, allocation plan."""
 def execute(self) -> None:
 """Run compiled pass order, managing buffers."""

Capability Gating

Passes declare required capabilities (e.g., requires=["optix_denoiser"]). The graph skips passes whose requirements aren't met, with fallback wiring (e.g., if Denoise is skipped, Tonemap reads raw color instead of denoised_color).

Implementation Plan

1. Define RenderPass base class and RenderGraph container — topological sort, cycle detection, buffer descriptor registry
2. Extract GBuffer pass — wrap existing OptiX launch in a GBufferPass, output named buffers instead of ad-hoc CuPy arrays
3. Extract Shadow and AO passes — already computed in the kernel; split into separate launches or keep fused with GBuffer and expose as outputs
4. Extract Denoise pass — wrap existing OptiX denoiser call
5. Extract Tonemap pass — color stretching, gamma, exposure currently in _apply_post_processing()
6. Extract Composite pass — overlay blending, HUD rendering, minimap
7. Buffer lifetime analysis — track first-use/last-use per buffer, reuse allocations where lifetimes don't overlap
8. Capability-gated pass skipping — query get_capabilities(), wire fallback connections
9. Validation — detect missing inputs, warn on unused outputs, cycle detection

Scope Boundaries

• No multi-GPU pass distribution (single device)
• No async pass overlap initially (sequential execution, async is a future optimization)
• GBuffer pass may remain fused (single OptiX launch producing multiple outputs) rather than separate geometry/material passes — splitting the kernel is not worth the extra launch overhead at this stage

References

• Current render pipeline: analysis/render.py (render() function), engine.py (_update_frame(), _apply_post_processing())
• OptiX denoiser integration: engine.py denoiser setup
• Capability detection: rtx.py:get_capabilities()