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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';
import { abstractBinary } from './binary.js';
const remainderVectorScalarInterval = (v: readonly number[], s: number): FPVector => {
return FP.abstract.toVector(v.map(e => FP.abstract.remainderInterval(e, s)));
};
const remainderScalarVectorInterval = (s: number, v: readonly number[]): FPVector => {
return FP.abstract.toVector(v.map(e => FP.abstract.remainderInterval(s, e)));
};
export const g = makeTestGroup(GPUTest);
const scalar_cases = {
['scalar']: () => {
return FP.abstract.generateScalarPairToIntervalCases(
sparseF64Range(),
sparseF64Range(),
'finite',
FP.abstract.remainderInterval
);
},
};
const vector_scalar_cases = ([2, 3, 4] as const)
.map(dim => ({
[`vec${dim}_scalar`]: () => {
return FP.abstract.generateVectorScalarToVectorCases(
sparseVectorF64Range(dim),
sparseF64Range(),
'finite',
remainderVectorScalarInterval
);
},
}))
.reduce((a, b) => ({ ...a, ...b }), {});
const scalar_vector_cases = ([2, 3, 4] as const)
.map(dim => ({
[`scalar_vec${dim}`]: () => {
return FP.abstract.generateScalarVectorToVectorCases(
sparseF64Range(),
sparseVectorF64Range(dim),
'finite',
remainderScalarVectorInterval
);
},
}))
.reduce((a, b) => ({ ...a, ...b }), {});
export const d = makeCaseCache('binary/af_remainder', {
...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: 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${dim}_scalar`);
await run(
t,
abstractBinary('%'),
[TypeVec(dim, TypeAbstractFloat), TypeAbstractFloat],
TypeVec(dim, TypeAbstractFloat),
t.params,
cases
);
});
g.test('scalar_vector')
.specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation')
.desc(
`
Expression: x % y, where x is a scalar and y is a vector
Accuracy: Correctly rounded
`
)
.params(u => u.combine('inputSource', onlyConstInputSource).combine('dim', [2, 3, 4] as const))
.fn(async t => {
const dim = t.params.dim;
const cases = await d.get(`scalar_vec${dim}`);
await run(
t,
abstractBinary('%'),
[TypeAbstractFloat, TypeVec(dim, TypeAbstractFloat)],
TypeVec(dim, TypeAbstractFloat),
t.params,
cases
);
});
|
