/**
* AUTO-GENERATED - DO NOT EDIT. Source: https://github.com/gpuweb/cts
**/export const description = `
Execution tests for the 'quantizeToF16' builtin function

T is f32 or vecN<f32>
@const fn quantizeToF16(e: T ) -> T
Quantizes a 32-bit floating point value e as if e were converted to a IEEE 754
binary16 value, and then converted back to a IEEE 754 binary32 value.
Component-wise when T is a vector.
`;import { makeTestGroup } from '../../../../../../common/framework/test_group.js';
import { AllFeaturesMaxLimitsGPUTest } from '../../../../../gpu_test.js';
import { Type } from '../../../../../util/conversion.js';
import { allInputSources, run } from '../../expression.js';

import { builtin } from './builtin.js';
import { d } from './quantizeToF16.cache.js';

export const g = makeTestGroup(AllFeaturesMaxLimitsGPUTest);

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])
).
fn(async (t) => {
  const cases = await d.get(t.params.inputSource === 'const' ? 'f32_const' : 'f32_non_const');
  await run(t, builtin('quantizeToF16'), [Type.f32], Type.f32, t.params, cases);
});