Add DacModel unit tests

Author: xenova

tests/models/dac/test_modeling_dac.js

@@ -0,0 +1,45 @@
+import { DacFeatureExtractor, DacModel } from "../../../src/transformers.js";
+
+import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js";
+
+export default () => {
+  describe("DacModel", () => {
+    const model_id = "hf-internal-testing/tiny-random-DacModel";
+
+    /** @type {DacModel} */
+    let model;
+    /** @type {DacFeatureExtractor} */
+    let feature_extractor;
+    let inputs;
+    beforeAll(async () => {
+      model = await DacModel.from_pretrained(model_id, DEFAULT_MODEL_OPTIONS);
+      feature_extractor = await DacFeatureExtractor.from_pretrained(model_id);
+      inputs = await feature_extractor(new Float32Array(12000));
+    }, MAX_MODEL_LOAD_TIME);
+
+    it(
+      "forward",
+      async () => {
+        const { audio_values } = await model(inputs);
+        expect(audio_values.dims).toEqual([1, 1, 11832]);
+      },
+      MAX_TEST_EXECUTION_TIME,
+    );
+
+    it(
+      "encode & decode",
+      async () => {
+        const encoder_outputs = await model.encode(inputs);
+        expect(encoder_outputs.audio_codes.dims).toEqual([1, model.config.n_codebooks, 37]);
+
+        const { audio_values } = await model.decode(encoder_outputs);
+        expect(audio_values.dims).toEqual([1, 1, 11832]);
+      },
+      MAX_TEST_EXECUTION_TIME,
+    );
+
+    afterAll(async () => {
+      await model?.dispose();
+    }, MAX_MODEL_DISPOSE_TIME);
+  });
+};