first commit

tests/models/qwen2_audio/test_processing_qwen2_audio.py

@@ -0,0 +1,108 @@
+# Copyright 2024 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import unittest
+
+from transformers import AutoProcessor, AutoTokenizer, Qwen2AudioProcessor
+from transformers.testing_utils import require_torch, require_torchaudio
+
+from ...test_processing_common import ProcessorTesterMixin, url_to_local_path
+
+
+@require_torch
+@require_torchaudio
+class Qwen2AudioProcessorTest(ProcessorTesterMixin, unittest.TestCase):
+    processor_class = Qwen2AudioProcessor
+    model_id = "Qwen/Qwen2-Audio-7B-Instruct"
+
+    @classmethod
+    def _setup_test_attributes(cls, processor):
+        cls.audio_token = processor.audio_token
+
+    def test_can_load_various_tokenizers(self):
+        processor = Qwen2AudioProcessor.from_pretrained(self.model_id)
+        tokenizer = AutoTokenizer.from_pretrained(self.model_id)
+        self.assertEqual(processor.tokenizer.__class__, tokenizer.__class__)
+
+    def test_tokenizer_integration(self):
+        slow_tokenizer = AutoTokenizer.from_pretrained(self.model_id, use_fast=False)
+        fast_tokenizer = AutoTokenizer.from_pretrained(self.model_id, from_slow=True, legacy=False)
+
+        prompt = "<|im_start|>system\nAnswer the questions.<|im_end|><|im_start|>user\n<|audio_bos|><|AUDIO|><|audio_eos|>\nWhat is it in this audio?<|im_end|><|im_start|>assistant\n"
+        EXPECTED_OUTPUT = [
+            "<|im_start|>",
+            "system",
+            "Ċ",
+            "Answer",
+            "Ġthe",
+            "Ġquestions",
+            ".",
+            "<|im_end|>",
+            "<|im_start|>",
+            "user",
+            "Ċ",
+            "<|audio_bos|>",
+            "<|AUDIO|>",
+            "<|audio_eos|>",
+            "Ċ",
+            "What",
+            "Ġis",
+            "Ġit",
+            "Ġin",
+            "Ġthis",
+            "Ġaudio",
+            "?",
+            "<|im_end|>",
+            "<|im_start|>",
+            "assistant",
+            "Ċ",
+        ]
+
+        self.assertEqual(slow_tokenizer.tokenize(prompt), EXPECTED_OUTPUT)
+        self.assertEqual(fast_tokenizer.tokenize(prompt), EXPECTED_OUTPUT)
+
+    def test_chat_template(self):
+        processor = AutoProcessor.from_pretrained(self.model_id)
+        expected_prompt = "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\nAudio 1: <|audio_bos|><|AUDIO|><|audio_eos|>\nWhat's that sound?<|im_end|>\n<|im_start|>assistant\nIt is the sound of glass shattering.<|im_end|>\n<|im_start|>user\nAudio 2: <|audio_bos|><|AUDIO|><|audio_eos|>\nHow about this one?<|im_end|>\n<|im_start|>assistant\n"
+
+        messages = [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "audio",
+                        "audio_url": url_to_local_path(
+                            "https://huggingface.co/datasets/raushan-testing-hf/audio-test/resolve/main/glass-breaking-151256.mp3"
+                        ),
+                    },
+                    {"type": "text", "text": "What's that sound?"},
+                ],
+            },
+            {"role": "assistant", "content": "It is the sound of glass shattering."},
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "audio",
+                        "audio_url": url_to_local_path(
+                            "https://huggingface.co/datasets/raushan-testing-hf/audio-test/resolve/main/f2641_0_throatclearing.wav"
+                        ),
+                    },
+                    {"type": "text", "text": "How about this one?"},
+                ],
+            },
+        ]
+
+        formatted_prompt = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+        self.assertEqual(expected_prompt, formatted_prompt)