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export const description = `
Execution tests for the 'ldexp' builtin function
S is AbstractFloat, f32, f16
T is S or vecN<S>
K is AbstractInt, i32
I is K or vecN<K>, where
I is a scalar if T is a scalar, or a vector when T is a vector
@const fn ldexp(e1: T ,e2: I ) -> T
Returns e1 * 2^e2. Component-wise when T is a vector.
`;
import { makeTestGroup } from '../../../../../../common/framework/test_group.js';
import { assert } from '../../../../../../common/util/util.js';
import { GPUTest } from '../../../../../gpu_test.js';
import { anyOf } from '../../../../../util/compare.js';
import { i32, TypeF32, TypeF16, TypeI32 } from '../../../../../util/conversion.js';
import { FP } from '../../../../../util/floating_point.js';
import {
biasedRange,
quantizeToI32,
sparseF32Range,
sparseI32Range,
sparseF16Range,
} from '../../../../../util/math.js';
import { makeCaseCache } from '../../case_cache.js';
import { allInputSources, Case, run } from '../../expression.js';
import { builtin } from './builtin.js';
export const g = makeTestGroup(GPUTest);
const bias = {
f32: 127,
f16: 15,
} as const;
// ldexpInterval's return interval doesn't cover the flush-to-zero cases when e2 + bias <= 0, thus
// special examination is required.
// See the comment block on ldexpInterval for more details
// e2 is an integer (i32) while e1 is float.
const makeCase = (trait: 'f32' | 'f16', e1: number, e2: number): Case => {
const FPTrait = FP[trait];
e1 = FPTrait.quantize(e1);
// e2 should be in i32 range for the convinience.
assert(-2147483648 <= e2 && e2 <= 2147483647, 'e2 should be in i32 range');
e2 = quantizeToI32(e2);
const expected = FPTrait.ldexpInterval(e1, e2);
// Result may be zero if e2 + bias <= 0
if (e2 + bias[trait] <= 0) {
return {
input: [FPTrait.scalarBuilder(e1), i32(e2)],
expected: anyOf(expected, FPTrait.constants().zeroInterval),
};
}
return { input: [FPTrait.scalarBuilder(e1), i32(e2)], expected };
};
export const d = makeCaseCache('ldexp', {
f32_non_const: () => {
return sparseF32Range().flatMap(e1 => sparseI32Range().map(e2 => makeCase('f32', e1, e2)));
},
f32_const: () => {
return sparseF32Range().flatMap(e1 =>
biasedRange(-bias.f32 - 10, bias.f32 + 1, 10).flatMap(e2 =>
FP.f32.isFinite(e1 * 2 ** quantizeToI32(e2)) ? makeCase('f32', e1, e2) : []
)
);
},
f16_non_const: () => {
return sparseF16Range().flatMap(e1 => sparseI32Range().map(e2 => makeCase('f16', e1, e2)));
},
f16_const: () => {
return sparseF16Range().flatMap(e1 =>
biasedRange(-bias.f16 - 10, bias.f16 + 1, 10).flatMap(e2 =>
FP.f16.isFinite(e1 * 2 ** quantizeToI32(e2)) ? makeCase('f16', e1, e2) : []
)
);
},
});
g.test('abstract_float')
.specURL('https://www.w3.org/TR/WGSL/#float-builtin-functions')
.desc(
`
`
)
.params(u =>
u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
)
.unimplemented();
g.test('f32')
.specURL('https://www.w3.org/TR/WGSL/#float-builtin-functions')
.desc(`f32 tests`)
.params(u =>
u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
)
.fn(async t => {
const cases = await d.get(t.params.inputSource === 'const' ? 'f32_const' : 'f32_non_const');
await run(t, builtin('ldexp'), [TypeF32, TypeI32], TypeF32, t.params, cases);
});
g.test('f16')
.specURL('https://www.w3.org/TR/WGSL/#float-builtin-functions')
.desc(`f16 tests`)
.params(u =>
u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
)
.beforeAllSubcases(t => {
t.selectDeviceOrSkipTestCase('shader-f16');
})
.fn(async t => {
const cases = await d.get(t.params.inputSource === 'const' ? 'f16_const' : 'f16_non_const');
await run(t, builtin('ldexp'), [TypeF16, TypeI32], TypeF16, t.params, cases);
});
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