101 lines
3.1 KiB
Python
101 lines
3.1 KiB
Python
import pytest
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from vllm.entrypoints.chat_utils import apply_chat_template, load_chat_template
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from vllm.entrypoints.openai.protocol import ChatCompletionRequest
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from vllm.transformers_utils.tokenizer import get_tokenizer
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from ..utils import VLLM_PATH
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chatml_jinja_path = VLLM_PATH / "examples/template_chatml.jinja"
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assert chatml_jinja_path.exists()
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# Define models, templates, and their corresponding expected outputs
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MODEL_TEMPLATE_GENERATON_OUTPUT = [
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("facebook/opt-125m", chatml_jinja_path, True, """<|im_start|>user
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Hello<|im_end|>
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<|im_start|>assistant
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Hi there!<|im_end|>
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<|im_start|>user
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What is the capital of<|im_end|>
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<|im_start|>assistant
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"""),
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("facebook/opt-125m", chatml_jinja_path, False, """<|im_start|>user
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Hello<|im_end|>
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<|im_start|>assistant
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Hi there!<|im_end|>
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<|im_start|>user
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What is the capital of""")
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]
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TEST_MESSAGES = [
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{
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'role': 'user',
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'content': 'Hello'
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},
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{
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'role': 'assistant',
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'content': 'Hi there!'
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},
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{
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'role': 'user',
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'content': 'What is the capital of'
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},
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]
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def test_load_chat_template():
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# Testing chatml template
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template_content = load_chat_template(chat_template=chatml_jinja_path)
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# Test assertions
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assert template_content is not None
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# Hard coded value for template_chatml.jinja
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assert template_content == """{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content']}}{% if (loop.last and add_generation_prompt) or not loop.last %}{{ '<|im_end|>' + '\\n'}}{% endif %}{% endfor %}
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{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{ '<|im_start|>assistant\\n' }}{% endif %}""" # noqa: E501
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def test_no_load_chat_template_filelike():
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# Testing chatml template
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template = "../../examples/does_not_exist"
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with pytest.raises(ValueError, match="looks like a file path"):
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load_chat_template(chat_template=template)
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def test_no_load_chat_template_literallike():
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# Testing chatml template
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template = "{{ messages }}"
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template_content = load_chat_template(chat_template=template)
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assert template_content == template
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@pytest.mark.parametrize(
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"model,template,add_generation_prompt,expected_output",
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MODEL_TEMPLATE_GENERATON_OUTPUT)
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def test_get_gen_prompt(model, template, add_generation_prompt,
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expected_output):
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# Initialize the tokenizer
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tokenizer = get_tokenizer(tokenizer_name=model)
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template_content = load_chat_template(chat_template=template)
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# Create a mock request object using keyword arguments
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mock_request = ChatCompletionRequest(
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model=model,
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messages=TEST_MESSAGES,
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add_generation_prompt=add_generation_prompt)
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# Call the function and get the result
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result = apply_chat_template(
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tokenizer,
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conversation=mock_request.messages,
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chat_template=mock_request.chat_template or template_content,
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add_generation_prompt=mock_request.add_generation_prompt,
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)
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# Test assertion
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assert result == expected_output, (
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f"The generated prompt does not match the expected output for "
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f"model {model} and template {template}")
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