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export const description = `
Execution tests for the 'exp' builtin function
S is AbstractFloat, f32, f16
T is S or vecN<S>
@const fn exp(e1: T ) -> T
Returns the natural exponentiation of e1 (e.g. e^e1). Component-wise when T is a vector.
`;
import { makeTestGroup } from '../../../../../../common/framework/test_group.js';
import { GPUTest } from '../../../../../gpu_test.js';
import { kValue } from '../../../../../util/constants.js';
import { TypeF32, TypeF16 } from '../../../../../util/conversion.js';
import { FP } from '../../../../../util/floating_point.js';
import { biasedRange, linearRange } from '../../../../../util/math.js';
import { makeCaseCache } from '../../case_cache.js';
import { allInputSources, run } from '../../expression.js';
import { builtin } from './builtin.js';
export const g = makeTestGroup(GPUTest);
// floor(ln(max f32 value)) = 88, so exp(88) will be within range of a f32, but exp(89) will not
// floor(ln(max f64 value)) = 709, so exp(709) can be handled by the testing framework, but exp(710) will misbehave
const f32_inputs = [
0, // Returns 1 by definition
-89, // Returns subnormal value
kValue.f32.negative.min, // Closest to returning 0 as possible
...biasedRange(kValue.f32.negative.max, -88, 100),
...biasedRange(kValue.f32.positive.min, 88, 100),
...linearRange(89, 709, 10), // Overflows f32, but not f64
];
// floor(ln(max f16 value)) = 11, so exp(11) will be within range of a f16, but exp(12) will not
const f16_inputs = [
0, // Returns 1 by definition
-12, // Returns subnormal value
kValue.f16.negative.min, // Closest to returning 0 as possible
...biasedRange(kValue.f16.negative.max, -11, 100),
...biasedRange(kValue.f16.positive.min, 11, 100),
...linearRange(12, 709, 10), // Overflows f16, but not f64
];
export const d = makeCaseCache('exp', {
f32_const: () => {
return FP.f32.generateScalarToIntervalCases(f32_inputs, 'finite', FP.f32.expInterval);
},
f32_non_const: () => {
return FP.f32.generateScalarToIntervalCases(f32_inputs, 'unfiltered', FP.f32.expInterval);
},
f16_const: () => {
return FP.f16.generateScalarToIntervalCases(f16_inputs, 'finite', FP.f16.expInterval);
},
f16_non_const: () => {
return FP.f16.generateScalarToIntervalCases(f16_inputs, 'unfiltered', FP.f16.expInterval);
},
});
g.test('abstract_float')
.specURL('https://www.w3.org/TR/WGSL/#float-builtin-functions')
.desc(`abstract float tests`)
.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('exp'), [TypeF32], 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('exp'), [TypeF16], TypeF16, t.params, cases);
});
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