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sample-in-loop-implicit-grad

Status: stub. The full-length analysis is queued for a v1.0.x patch release per ADR 0018, section 5, criterion #6. The companion rule page at docs/rules/sample-in-loop-implicit-grad.md contains the canonical detection logic + GPU reasoning.

TL;DR

Pixel shaders execute as 2x2 quads — the smallest unit at which the rasterizer guarantees neighbouring fragments are co-resident on the same SIMD lanes. Implicit-derivative texture sampling computes mip selection by differencing the texture coordinate against the three other lanes in the quad. On AMD RDNA 2/3, this is implemented by the image_sample instruction reading S# and T# operands across the four quad lanes through the cross-lane permute network. On NVIDIA Turing and Ada, the texture unit (TMU) consumes coordinates from all four quad lanes in parallel and forms the partial derivatives in dedicated derivative-computation hardware before issuing the actual fetch. On Intel Xe-HPG, the same quad-coupled fetch protocol applies through the sampler subsystem.

What the rule fires on

Calls to Texture2D::Sample, Texture2DArray::Sample, TextureCube::Sample, and the other Sample overloads that compute texture LOD from implicit screen-space derivatives, when the call appears inside a loop, inside a branch whose condition is not provably uniform across the pixel quad, or inside a non-inlined function whose call sites mix uniform and non-uniform contexts. The same pattern applies to SampleBias and SampleCmp because both still rely on implicit ddx/ddy of the texture coordinate. The rule does not fire on SampleLevel, SampleGrad, or Load, which carry their own LOD information and do not depend on cross-lane derivatives.

See the What it detects section of the rule page for the full pattern definition.

Why it matters

The full GPU-mechanism analysis lives in the Why it matters on a GPU section of the companion rule page.

Examples

The bad / good code snippets are kept canonical on the rule page; see sample-in-loop-implicit-grad.md -> Examples.

See also


This is a v1.0-ship stub. Full analysis pending; track issue link TBD.

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