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

T is abstract-float, f32, or f16
@const transpose(e: matRxC<T> ) -> matCxR<T>
Returns the transpose of e.
`;import { makeTestGroup } from '../../../../../../common/framework/test_group.js';
import { AllFeaturesMaxLimitsGPUTest } from '../../../../../gpu_test.js';
import { Type } from '../../../../../util/conversion.js';
import { allInputSources, onlyConstInputSource, run } from '../../expression.js';

import { abstractFloatBuiltin, builtin } from './builtin.js';
import { d } from './transpose.cache.js';

export const g = makeTestGroup(AllFeaturesMaxLimitsGPUTest);

g.test('abstract_float').
specURL('https://www.w3.org/TR/WGSL/#matrix-builtin-functions').
desc(`abstract float tests`).
params((u) =>
u.
combine('inputSource', onlyConstInputSource).
combine('cols', [2, 3, 4]).
combine('rows', [2, 3, 4])
).
fn(async (t) => {
  const cols = t.params.cols;
  const rows = t.params.rows;
  const cases = await d.get(`abstract_mat${cols}x${rows}_const`);
  await run(
    t,
    abstractFloatBuiltin('transpose'),
    [Type.mat(cols, rows, Type.abstractFloat)],
    Type.mat(rows, cols, Type.abstractFloat),
    t.params,
    cases
  );
});

g.test('f32').
specURL('https://www.w3.org/TR/WGSL/#matrix-builtin-functions').
desc(`f32 tests`).
params((u) =>
u.
combine('inputSource', allInputSources).
combine('cols', [2, 3, 4]).
combine('rows', [2, 3, 4])
).
fn(async (t) => {
  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,
    builtin('transpose'),
    [Type.mat(cols, rows, Type.f32)],
    Type.mat(rows, cols, Type.f32),
    t.params,
    cases
  );
});

g.test('f16').
specURL('https://www.w3.org/TR/WGSL/#matrix-builtin-functions').
desc(`f16 tests`).
params((u) =>
u.
combine('inputSource', allInputSources).
combine('cols', [2, 3, 4]).
combine('rows', [2, 3, 4])
).
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,
    builtin('transpose'),
    [Type.mat(cols, rows, Type.f16)],
    Type.mat(rows, cols, Type.f16),
    t.params,
    cases
  );
});