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wgsl: Add AF Division execution tests
Adds in forwarding of ULP and division interval calls to f32 for abstract Issue #1626
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154 changes: 154 additions & 0 deletions
154
src/webgpu/shader/execution/expression/binary/af_division.spec.ts
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,154 @@ | ||
| export const description = ` | ||
| Execution Tests for non-matrix AbstractFloat division expression | ||
| `; | ||
|
|
||
| import { makeTestGroup } from '../../../../../common/framework/test_group.js'; | ||
| import { GPUTest } from '../../../../gpu_test.js'; | ||
| import { TypeAbstractFloat, TypeVec } from '../../../../util/conversion.js'; | ||
| import { FP, FPVector } from '../../../../util/floating_point.js'; | ||
| import { sparseF64Range, sparseVectorF64Range } from '../../../../util/math.js'; | ||
| import { makeCaseCache } from '../case_cache.js'; | ||
| import { onlyConstInputSource, run } from '../expression.js'; | ||
|
|
||
| import { abstractBinary } from './binary.js'; | ||
|
|
||
| const divisionVectorScalarInterval = (v: number[], s: number): FPVector => { | ||
| return FP.abstract.toVector(v.map(e => FP.abstract.divisionInterval(e, s))); | ||
| }; | ||
|
|
||
| const divisionScalarVectorInterval = (s: number, v: number[]): FPVector => { | ||
| return FP.abstract.toVector(v.map(e => FP.abstract.divisionInterval(s, e))); | ||
| }; | ||
|
|
||
| export const g = makeTestGroup(GPUTest); | ||
|
|
||
| const scalar_cases = { | ||
| ['scalar']: () => { | ||
| return FP.abstract.generateScalarPairToIntervalCases( | ||
| sparseF64Range(), | ||
| sparseF64Range(), | ||
| 'finite', | ||
| FP.abstract.divisionInterval | ||
| ); | ||
| }, | ||
| }; | ||
|
|
||
| const vector_scalar_cases = ([2, 3, 4] as const) | ||
| .map(dim => ({ | ||
| [`vec${dim}_scalar`]: () => { | ||
| return FP.abstract.generateVectorScalarToVectorCases( | ||
| sparseVectorF64Range(dim), | ||
| sparseF64Range(), | ||
| 'finite', | ||
| divisionVectorScalarInterval | ||
| ); | ||
| }, | ||
| })) | ||
| .reduce((a, b) => ({ ...a, ...b }), {}); | ||
|
|
||
| const scalar_vector_cases = ([2, 3, 4] as const) | ||
| .map(dim => ({ | ||
| [`scalar_vec${dim}`]: () => { | ||
| return FP.abstract.generateScalarVectorToVectorCases( | ||
| sparseF64Range(), | ||
| sparseVectorF64Range(dim), | ||
| 'finite', | ||
| divisionScalarVectorInterval | ||
| ); | ||
| }, | ||
| })) | ||
| .reduce((a, b) => ({ ...a, ...b }), {}); | ||
|
|
||
| export const d = makeCaseCache('binary/af_division', { | ||
| ...scalar_cases, | ||
| ...vector_scalar_cases, | ||
| ...scalar_vector_cases, | ||
| }); | ||
|
|
||
| g.test('scalar') | ||
| .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') | ||
| .desc( | ||
| ` | ||
| Expression: x / y, where x and y are scalars | ||
| Accuracy: 2.5 ULP for |y| in the range [2^-126, 2^126] | ||
| ` | ||
| ) | ||
| .params(u => u.combine('inputSource', onlyConstInputSource)) | ||
| .fn(async t => { | ||
| const cases = await d.get('scalar'); | ||
| await run( | ||
| t, | ||
| abstractBinary('/'), | ||
| [TypeAbstractFloat, TypeAbstractFloat], | ||
| TypeAbstractFloat, | ||
| t.params, | ||
| cases | ||
| ); | ||
| }); | ||
|
|
||
| g.test('vector') | ||
| .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') | ||
| .desc( | ||
| ` | ||
| Expression: x / y, where x and y are vectors | ||
| Accuracy: 2.5 ULP for |y| in the range [2^-126, 2^126] | ||
| ` | ||
| ) | ||
| .params(u => | ||
| u.combine('inputSource', onlyConstInputSource).combine('vectorize', [2, 3, 4] as const) | ||
| ) | ||
| .fn(async t => { | ||
| const cases = await d.get('scalar'); // Using vectorize to generate vector cases based on scalar cases | ||
| await run( | ||
| t, | ||
| abstractBinary('/'), | ||
| [TypeAbstractFloat, TypeAbstractFloat], | ||
| TypeAbstractFloat, | ||
| t.params, | ||
| cases | ||
| ); | ||
| }); | ||
|
|
||
| g.test('vector_scalar') | ||
| .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') | ||
| .desc( | ||
| ` | ||
| Expression: x / y, where x is a vector and y is a scalar | ||
| Accuracy: Correctly rounded | ||
| ` | ||
| ) | ||
| .params(u => u.combine('inputSource', onlyConstInputSource).combine('dim', [2, 3, 4] as const)) | ||
| .fn(async t => { | ||
| const dim = t.params.dim; | ||
| const cases = await d.get(`vec${dim}_scalar`); | ||
| await run( | ||
| t, | ||
| abstractBinary('/'), | ||
| [TypeVec(dim, TypeAbstractFloat), TypeAbstractFloat], | ||
| TypeVec(dim, TypeAbstractFloat), | ||
| t.params, | ||
| cases | ||
| ); | ||
| }); | ||
|
|
||
| g.test('scalar_vector') | ||
| .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') | ||
| .desc( | ||
| ` | ||
| Expression: x / y, where x is a scalar and y is a vector | ||
| Accuracy: Correctly rounded | ||
| ` | ||
| ) | ||
| .params(u => u.combine('inputSource', onlyConstInputSource).combine('dim', [2, 3, 4] as const)) | ||
| .fn(async t => { | ||
| const dim = t.params.dim; | ||
| const cases = await d.get(`scalar_vec${dim}`); | ||
| await run( | ||
| t, | ||
| abstractBinary('/'), | ||
| [TypeAbstractFloat, TypeVec(dim, TypeAbstractFloat)], | ||
| TypeVec(dim, TypeAbstractFloat), | ||
| t.params, | ||
| cases | ||
| ); | ||
| }); |
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