Adding upstream version 124.0.1.upstream/124.0.1

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 87 insertions, 0 deletions

diff --git a/dom/webgpu/tests/cts/checkout/src/webgpu/shader/execution/expression/call/builtin/atanh.spec.ts b/dom/webgpu/tests/cts/checkout/src/webgpu/shader/execution/expression/call/builtin/atanh.spec.ts
new file mode 100644
index 0000000000..90f322a7ea
--- /dev/null
+++ b/dom/webgpu/tests/cts/checkout/src/webgpu/shader/execution/expression/call/builtin/atanh.spec.ts
@@ -0,0 +1,87 @@
+export const description = `
+Execution tests for the 'atanh' builtin function
+
+S is AbstractFloat, f32, f16
+T is S or vecN<S>
+@const fn atanh(e: T ) -> T
+Returns the hyperbolic arc tangent of e. The result is 0 when abs(e) ≥ 1.
+Computes the functional inverse of tanh.
+Component-wise when T is a vector.
+Note: The result is not mathematically meaningful when abs(e) >= 1.
+`;
+
+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, fullF32Range, fullF16Range } 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);
+
+const f32_inputs = [
+  ...biasedRange(kValue.f32.negative.less_than_one, -0.9, 20), // discontinuity at x = -1
+  -1,
+  ...biasedRange(kValue.f32.positive.less_than_one, 0.9, 20), // discontinuity at x = 1
+  1,
+  ...fullF32Range(),
+];
+const f16_inputs = [
+  ...biasedRange(kValue.f16.negative.less_than_one, -0.9, 20), // discontinuity at x = -1
+  -1,
+  ...biasedRange(kValue.f16.positive.less_than_one, 0.9, 20), // discontinuity at x = 1
+  1,
+  ...fullF16Range(),
+];
+
+export const d = makeCaseCache('atanh', {
+  f32_const: () => {
+    return FP.f32.generateScalarToIntervalCases(f32_inputs, 'finite', FP.f32.atanhInterval);
+  },
+  f32_non_const: () => {
+    return FP.f32.generateScalarToIntervalCases(f32_inputs, 'unfiltered', FP.f32.atanhInterval);
+  },
+  f16_const: () => {
+    return FP.f16.generateScalarToIntervalCases(f16_inputs, 'finite', FP.f16.atanhInterval);
+  },
+  f16_non_const: () => {
+    return FP.f16.generateScalarToIntervalCases(f16_inputs, 'unfiltered', FP.f16.atanhInterval);
+  },
+});
+
+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('atanh'), [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('atanh'), [TypeF16], TypeF16, t.params, cases);
+  });