🏡 index : cold-air-networks/mirror-webgpu-cts.git

export const description = `
Execution Tests for the f32 conversion operations
`;

import { makeTestGroup } from '../../../../../common/framework/test_group.js';
import { AllFeaturesMaxLimitsGPUTest } from '../../../../gpu_test.js';
import { Type } from '../../../../util/conversion.js';
import { ShaderBuilder, allInputSources, run, onlyConstInputSource } from '../expression.js';

import { d } from './f16_conversion.cache.js';
import { unary } from './unary.js';

export const g = makeTestGroup(AllFeaturesMaxLimitsGPUTest);

/** Generate a ShaderBuilder based on how the test case is to be vectorized */
function vectorizeToExpression(vectorize: undefined | 2 | 3 | 4): ShaderBuilder {
  return vectorize === undefined ? unary('f16') : unary(`vec${vectorize}<f16>`);
}

/** Generate a ShaderBuilder for a matrix of the provided dimensions */
function matrixExperession(cols: number, rows: number): ShaderBuilder {
  return unary(`mat${cols}x${rows}<f16>`);
}

g.test('bool')
  .specURL('https://www.w3.org/TR/WGSL/#value-constructor-builtin-function')
  .desc(
    `
f16(e), where e is a bool

The result is 1.0 if e is true and 0.0 otherwise
`
  )
  .params(u =>
    u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cases = await d.get('bool');
    await run(t, vectorizeToExpression(t.params.vectorize), [Type.bool], Type.f16, t.params, cases);
  });

g.test('u32')
  .specURL('https://www.w3.org/TR/WGSL/#bool-builtin')
  .desc(
    `
f16(e), where e is a u32

Converted to f16, +/-Inf if out of range
`
  )
  .params(u =>
    u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cases = await d.get(t.params.inputSource === 'const' ? 'u32_const' : 'u32_non_const');
    await run(t, vectorizeToExpression(t.params.vectorize), [Type.u32], Type.f16, t.params, cases);
  });

g.test('i32')
  .specURL('https://www.w3.org/TR/WGSL/#value-constructor-builtin-function')
  .desc(
    `
f16(e), where e is a i32

Converted to f16, +/-Inf if out of range
`
  )
  .params(u =>
    u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cases = await d.get(t.params.inputSource === 'const' ? 'i32_const' : 'i32_non_const');
    await run(t, vectorizeToExpression(t.params.vectorize), [Type.i32], Type.f16, t.params, cases);
  });

g.test('abstract_int')
  .specURL('https://www.w3.org/TR/WGSL/#value-constructor-builtin-function')
  .desc(
    `
f16(e), where e is an AbstractInt

Converted to f16, +/-Inf if out of range
`
  )
  .params(u =>
    u
      .combine('inputSource', onlyConstInputSource)
      .combine('vectorize', [undefined, 2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cases = await d.get('abstract_int');
    await run(
      t,
      vectorizeToExpression(t.params.vectorize),
      [Type.abstractInt],
      Type.f16,
      t.params,
      cases
    );
  });

g.test('f32')
  .specURL('https://www.w3.org/TR/WGSL/#value-constructor-builtin-function')
  .desc(
    `
f16(e), where e is a f32

Correctly rounded to f16
`
  )
  .params(u =>
    u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cases = await d.get(t.params.inputSource === 'const' ? 'f32_const' : 'f32_non_const');
    await run(t, vectorizeToExpression(t.params.vectorize), [Type.f32], Type.f16, t.params, cases);
  });

g.test('f32_mat')
  .specURL('https://www.w3.org/TR/WGSL/#matrix-builtin-functions')
  .desc(`f32 matrix to f16 matrix tests`)
  .params(u =>
    u
      .combine('inputSource', allInputSources)
      .combine('cols', [2, 3, 4] as const)
      .combine('rows', [2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cols = t.params.cols;
    const rows = t.params.rows;
    const cases = await d.get(
      t.params.inputSource === 'const'
        ? `f32_mat${cols}x${rows}_const`
        : `f32_mat${cols}x${rows}_non_const`
    );
    await run(
      t,
      matrixExperession(cols, rows),
      [Type.mat(cols, rows, Type.f32)],
      Type.mat(cols, rows, Type.f16),
      t.params,
      cases
    );
  });

g.test('f16')
  .specURL('https://www.w3.org/TR/WGSL/#value-constructor-builtin-function')
  .desc(
    `
  f16(e), where e is a f16

  Identical.
  `
  )
  .params(u =>
    u.combine('inputSource', allInputSources).combine('vectorize', [undefined, 2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cases = await d.get('f16');
    await run(t, vectorizeToExpression(t.params.vectorize), [Type.f16], Type.f16, t.params, cases);
  });

g.test('f16_mat')
  .specURL('https://www.w3.org/TR/WGSL/#matrix-builtin-functions')
  .desc(`f16 matrix to f16 matrix tests, expected identical`)
  .params(u =>
    u
      .combine('inputSource', allInputSources)
      .combine('cols', [2, 3, 4] as const)
      .combine('rows', [2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cols = t.params.cols;
    const rows = t.params.rows;
    const cases = await d.get(
      t.params.inputSource === 'const'
        ? `f16_mat${cols}x${rows}_const`
        : `f16_mat${cols}x${rows}_non_const`
    );
    await run(
      t,
      matrixExperession(cols, rows),
      [Type.mat(cols, rows, Type.f16)],
      Type.mat(cols, rows, Type.f16),
      t.params,
      cases
    );
  });

g.test('abstract_float')
  .specURL('https://www.w3.org/TR/WGSL/#value-constructor-builtin-function')
  .desc(
    `
f16(e), where e is an AbstractFloat

Correctly rounded to f16
`
  )
  .params(u =>
    u
      .combine('inputSource', onlyConstInputSource)
      .combine('vectorize', [undefined, 2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cases = await d.get('abstract_float');
    await run(
      t,
      vectorizeToExpression(t.params.vectorize),
      [Type.abstractFloat],
      Type.f16,
      t.params,
      cases
    );
  });

g.test('abstract_float_mat')
  .specURL('https://www.w3.org/TR/WGSL/#matrix-builtin-functions')
  .desc(`AbstractFloat matrix to f16 matrix tests`)
  .params(u =>
    u
      .combine('inputSource', onlyConstInputSource)
      .combine('cols', [2, 3, 4] as const)
      .combine('rows', [2, 3, 4] as const)
  )
  .fn(async t => {
    t.skipIfDeviceDoesNotHaveFeature('shader-f16');
    const cols = t.params.cols;
    const rows = t.params.rows;
    const cases = await d.get(`abstract_float_mat${cols}x${rows}`);
    await run(
      t,
      matrixExperession(cols, rows),
      [Type.mat(cols, rows, Type.abstractFloat)],
      Type.mat(cols, rows, Type.f16),
      t.params,
      cases
    );
  });