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wgsl: Add AF remainder (%) execution tests (#3075)
Issue #1626
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154 changes: 154 additions & 0 deletions
154
src/webgpu/shader/execution/expression/binary/af_remainder.spec.ts
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Original file line number | Diff line number | Diff line change |
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export const description = ` | ||
Execution Tests for non-matrix abstract float remainder 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'; | ||
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import { abstractBinary } from './binary.js'; | ||
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const remainderVectorScalarInterval = (v: number[], s: number): FPVector => { | ||
return FP.abstract.toVector(v.map(e => FP.abstract.remainderInterval(e, s))); | ||
}; | ||
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const remainderScalarVectorInterval = (s: number, v: number[]): FPVector => { | ||
return FP.abstract.toVector(v.map(e => FP.abstract.remainderInterval(s, e))); | ||
}; | ||
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export const g = makeTestGroup(GPUTest); | ||
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const scalar_cases = { | ||
['scalar']: () => { | ||
return FP.abstract.generateScalarPairToIntervalCases( | ||
sparseF64Range(), | ||
sparseF64Range(), | ||
'finite', | ||
FP.abstract.remainderInterval | ||
); | ||
}, | ||
}; | ||
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const vector_scalar_cases = ([2, 3, 4] as const) | ||
.map(dim => ({ | ||
[`vec${dim}_scalar`]: () => { | ||
return FP.abstract.generateVectorScalarToVectorCases( | ||
sparseVectorF64Range(dim), | ||
sparseF64Range(), | ||
'finite', | ||
remainderVectorScalarInterval | ||
); | ||
}, | ||
})) | ||
.reduce((a, b) => ({ ...a, ...b }), {}); | ||
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const scalar_vector_cases = ([2, 3, 4] as const) | ||
.map(dim => ({ | ||
[`scalar_vec${dim}`]: () => { | ||
return FP.abstract.generateScalarVectorToVectorCases( | ||
sparseF64Range(), | ||
sparseVectorF64Range(dim), | ||
'finite', | ||
remainderScalarVectorInterval | ||
); | ||
}, | ||
})) | ||
.reduce((a, b) => ({ ...a, ...b }), {}); | ||
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export const d = makeCaseCache('binary/af_remainder', { | ||
...scalar_cases, | ||
...vector_scalar_cases, | ||
...scalar_vector_cases, | ||
}); | ||
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g.test('scalar') | ||
.specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') | ||
.desc( | ||
` | ||
Expression: x % y, where x and y are scalars | ||
Accuracy: Derived from x - y * trunc(x/y) | ||
` | ||
) | ||
.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: Derived from x - y * trunc(x/y) | ||
` | ||
) | ||
.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${dim}_scalar`); | ||
await run( | ||
t, | ||
abstractBinary('%'), | ||
[TypeVec(dim, TypeAbstractFloat), TypeAbstractFloat], | ||
TypeVec(dim, TypeAbstractFloat), | ||
t.params, | ||
cases | ||
); | ||
}); | ||
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g.test('scalar_vector') | ||
.specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') | ||
.desc( | ||
` | ||
Expression: x % y, where x is a scalar and y is a vector | ||
Accuracy: Correctly rounded | ||
` | ||
) | ||
.params(u => u.combine('inputSource', onlyConstInputSource).combine('dim', [2, 3, 4] as const)) | ||
.fn(async t => { | ||
const dim = t.params.dim; | ||
const cases = await d.get(`scalar_vec${dim}`); | ||
await run( | ||
t, | ||
abstractBinary('%'), | ||
[TypeAbstractFloat, TypeVec(dim, TypeAbstractFloat)], | ||
TypeVec(dim, TypeAbstractFloat), | ||
t.params, | ||
cases | ||
); | ||
}); |
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