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path: root/dom/webgpu/tests/cts/checkout/src/webgpu/shader/execution/expression/call/builtin/faceForward.spec.ts
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export const description = `
Execution tests for the 'faceForward' builtin function

T is vecN<AbstractFloat>, vecN<f32>, or vecN<f16>
@const fn faceForward(e1: T ,e2: T ,e3: T ) -> T
Returns e1 if dot(e2,e3) is negative, and -e1 otherwise.
`;

import { makeTestGroup } from '../../../../../../common/framework/test_group.js';
import { ROArrayArray } from '../../../../../../common/util/types.js';
import { GPUTest } from '../../../../../gpu_test.js';
import { anyOf } from '../../../../../util/compare.js';
import { toVector, TypeF32, TypeF16, TypeVec } from '../../../../../util/conversion.js';
import { FP, FPKind, FPVector } from '../../../../../util/floating_point.js';
import {
  cartesianProduct,
  sparseVectorF32Range,
  sparseVectorF16Range,
} from '../../../../../util/math.js';
import { makeCaseCache } from '../../case_cache.js';
import { allInputSources, Case, IntervalFilter, run } from '../../expression.js';

import { builtin } from './builtin.js';

export const g = makeTestGroup(GPUTest);

// Using a bespoke implementation of make*Case and generate*Cases here
// since faceForwardIntervals is the only builtin with the API signature
// (vec, vec, vec) -> vec
//
// Additionally faceForward has significant complexities around it due to the
// fact that `dot` is calculated in it s operation, but the result of dot isn't
// used to calculate the builtin's result.

/**
 * @returns a Case for `faceForward`
 * @param kind what kind of floating point numbers being operated on
 * @param x the `x` param for the case
 * @param y the `y` param for the case
 * @param z the `z` param for the case
 * @param check what interval checking to apply
 * */
function makeCase(
  kind: FPKind,
  x: readonly number[],
  y: readonly number[],
  z: readonly number[],
  check: IntervalFilter
): Case | undefined {
  const fp = FP[kind];
  x = x.map(fp.quantize);
  y = y.map(fp.quantize);
  z = z.map(fp.quantize);

  const results = FP[kind].faceForwardIntervals(x, y, z);
  if (check === 'finite' && results.some(r => r === undefined)) {
    return undefined;
  }

  // Stripping the undefined results, since undefined is used to signal that an OOB
  // could occur within the calculation that isn't reflected in the result
  // intervals.
  const define_results = results.filter((r): r is FPVector => r !== undefined);

  return {
    input: [
      toVector(x, fp.scalarBuilder),
      toVector(y, fp.scalarBuilder),
      toVector(z, fp.scalarBuilder),
    ],
    expected: anyOf(...define_results),
  };
}

/**
 * @returns an array of Cases for `faceForward`
 * @param kind what kind of floating point numbers being operated on
 * @param xs array of inputs to try for the `x` param
 * @param ys array of inputs to try for the `y` param
 * @param zs array of inputs to try for the `z` param
 * @param check what interval checking to apply
 */
function generateCases(
  kind: FPKind,
  xs: ROArrayArray<number>,
  ys: ROArrayArray<number>,
  zs: ROArrayArray<number>,
  check: IntervalFilter
): Case[] {
  // Cannot use `cartesianProduct` here due to heterogeneous param types
  return cartesianProduct(xs, ys, zs)
    .map(e => makeCase(kind, e[0], e[1], e[2], check))
    .filter((c): c is Case => c !== undefined);
}

// Cases: f32_vecN_[non_]const
const f32_vec_cases = ([2, 3, 4] as const)
  .flatMap(n =>
    ([true, false] as const).map(nonConst => ({
      [`f32_vec${n}_${nonConst ? 'non_const' : 'const'}`]: () => {
        return generateCases(
          'f32',
          sparseVectorF32Range(n),
          sparseVectorF32Range(n),
          sparseVectorF32Range(n),
          nonConst ? 'unfiltered' : 'finite'
        );
      },
    }))
  )
  .reduce((a, b) => ({ ...a, ...b }), {});

// Cases: f16_vecN_[non_]const
const f16_vec_cases = ([2, 3, 4] as const)
  .flatMap(n =>
    ([true, false] as const).map(nonConst => ({
      [`f16_vec${n}_${nonConst ? 'non_const' : 'const'}`]: () => {
        return generateCases(
          'f16',
          sparseVectorF16Range(n),
          sparseVectorF16Range(n),
          sparseVectorF16Range(n),
          nonConst ? 'unfiltered' : 'finite'
        );
      },
    }))
  )
  .reduce((a, b) => ({ ...a, ...b }), {});

export const d = makeCaseCache('faceForward', {
  ...f32_vec_cases,
  ...f16_vec_cases,
});

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', [2, 3, 4] as const))
  .unimplemented();

g.test('f32_vec2')
  .specURL('https://www.w3.org/TR/WGSL/#numeric-builtin-functions')
  .desc(`f32 tests using vec2s`)
  .params(u => u.combine('inputSource', allInputSources))
  .fn(async t => {
    const cases = await d.get(
      t.params.inputSource === 'const' ? 'f32_vec2_const' : 'f32_vec2_non_const'
    );
    await run(
      t,
      builtin('faceForward'),
      [TypeVec(2, TypeF32), TypeVec(2, TypeF32), TypeVec(2, TypeF32)],
      TypeVec(2, TypeF32),
      t.params,
      cases
    );
  });

g.test('f32_vec3')
  .specURL('https://www.w3.org/TR/WGSL/#numeric-builtin-functions')
  .desc(`f32 tests using vec3s`)
  .params(u => u.combine('inputSource', allInputSources))
  .fn(async t => {
    const cases = await d.get(
      t.params.inputSource === 'const' ? 'f32_vec3_const' : 'f32_vec3_non_const'
    );
    await run(
      t,
      builtin('faceForward'),
      [TypeVec(3, TypeF32), TypeVec(3, TypeF32), TypeVec(3, TypeF32)],
      TypeVec(3, TypeF32),
      t.params,
      cases
    );
  });

g.test('f32_vec4')
  .specURL('https://www.w3.org/TR/WGSL/#numeric-builtin-functions')
  .desc(`f32 tests using vec4s`)
  .params(u => u.combine('inputSource', allInputSources))
  .fn(async t => {
    const cases = await d.get(
      t.params.inputSource === 'const' ? 'f32_vec4_const' : 'f32_vec4_non_const'
    );
    await run(
      t,
      builtin('faceForward'),
      [TypeVec(4, TypeF32), TypeVec(4, TypeF32), TypeVec(4, TypeF32)],
      TypeVec(4, TypeF32),
      t.params,
      cases
    );
  });

g.test('f16_vec2')
  .specURL('https://www.w3.org/TR/WGSL/#numeric-builtin-functions')
  .desc(`f16 tests using vec2s`)
  .params(u => u.combine('inputSource', allInputSources))
  .beforeAllSubcases(t => {
    t.selectDeviceOrSkipTestCase('shader-f16');
  })
  .fn(async t => {
    const cases = await d.get(
      t.params.inputSource === 'const' ? 'f16_vec2_const' : 'f16_vec2_non_const'
    );
    await run(
      t,
      builtin('faceForward'),
      [TypeVec(2, TypeF16), TypeVec(2, TypeF16), TypeVec(2, TypeF16)],
      TypeVec(2, TypeF16),
      t.params,
      cases
    );
  });

g.test('f16_vec3')
  .specURL('https://www.w3.org/TR/WGSL/#numeric-builtin-functions')
  .desc(`f16 tests using vec3s`)
  .params(u => u.combine('inputSource', allInputSources))
  .beforeAllSubcases(t => {
    t.selectDeviceOrSkipTestCase('shader-f16');
  })
  .fn(async t => {
    const cases = await d.get(
      t.params.inputSource === 'const' ? 'f16_vec3_const' : 'f16_vec3_non_const'
    );
    await run(
      t,
      builtin('faceForward'),
      [TypeVec(3, TypeF16), TypeVec(3, TypeF16), TypeVec(3, TypeF16)],
      TypeVec(3, TypeF16),
      t.params,
      cases
    );
  });

g.test('f16_vec4')
  .specURL('https://www.w3.org/TR/WGSL/#numeric-builtin-functions')
  .desc(`f16 tests using vec4s`)
  .params(u => u.combine('inputSource', allInputSources))
  .beforeAllSubcases(t => {
    t.selectDeviceOrSkipTestCase('shader-f16');
  })
  .fn(async t => {
    const cases = await d.get(
      t.params.inputSource === 'const' ? 'f16_vec4_const' : 'f16_vec4_non_const'
    );
    await run(
      t,
      builtin('faceForward'),
      [TypeVec(4, TypeF16), TypeVec(4, TypeF16), TypeVec(4, TypeF16)],
      TypeVec(4, TypeF16),
      t.params,
      cases
    );
  });