1 files changed, 26 insertions, 0 deletions
diff --git a/dom/webgpu/tests/cts/checkout/src/webgpu/shader/execution/expression/call/builtin/fma.cache.ts b/dom/webgpu/tests/cts/checkout/src/webgpu/shader/execution/expression/call/builtin/fma.cache.ts
new file mode 100644
index 0000000000..20a61ce837
--- /dev/null
+++ b/dom/webgpu/tests/cts/checkout/src/webgpu/shader/execution/expression/call/builtin/fma.cache.ts
@@ -0,0 +1,26 @@
+import { FP } from '../../../../../util/floating_point.js';
+import { makeCaseCache } from '../../case_cache.js';
+
+// Cases: [f32|f16|abstract]_[non_]const
+// abstract_non_const is empty and not used
+const cases = (['f32', 'f16', 'abstract'] as const)
+  .flatMap(trait =>
+    ([true, false] as const).map(nonConst => ({
+      [`${trait}_${nonConst ? 'non_const' : 'const'}`]: () => {
+        if (trait === 'abstract' && nonConst) {
+          return [];
+        }
+        return FP[trait].generateScalarTripleToIntervalCases(
+          FP[trait].sparseScalarRange(),
+          FP[trait].sparseScalarRange(),
+          FP[trait].sparseScalarRange(),
+          nonConst ? 'unfiltered' : 'finite',
+          // fma has an inherited accuracy, so abstract is only expected to be as accurate as f32
+          FP[trait !== 'abstract' ? trait : 'f32'].fmaInterval
+        );
+      },
+    }))
+  )
+  .reduce((a, b) => ({ ...a, ...b }), {});
+
+export const d = makeCaseCache('fma', cases);