From 05dea672444b5d600cb4eadc9ef83c7fada0e9ab Mon Sep 17 00:00:00 2001 From: hustxiayang Date: Wed, 16 Oct 2024 07:22:48 -0400 Subject: [PATCH] bump to vllm0.6.2 add explicit chat template (#3964) * explicitly give a chat template Signed-off-by: yxia216 * fix dummy model issue, fix python version smaller than 3.10, and formatting Signed-off-by: yxia216 * fix vLLMModel Signed-off-by: yxia216 * change the interface of CreateChatCompletionRequest Signed-off-by: yxia216 * update dummy model's para Signed-off-by: yxia216 * consitent with OpenAIGPTTokenizer and OpenAIGPTModel Signed-off-by: yxia216 * give a chat template if there is no Signed-off-by: yxia216 * update the response and update the readme Signed-off-by: yxia216 * update the chat_template Signed-off-by: yxia216 * update data Signed-off-by: yxia216 * add test of chat temmplate for tokenizer Signed-off-by: yxia216 * jinja2 template format Signed-off-by: yxia216 * use a simpler chat template --------- Signed-off-by: yxia216 --- python/huggingface_server.Dockerfile | 2 +- .../huggingfaceserver/generative_model.py | 5 +- .../vllm/vllm_completions.py | 6 +- .../huggingfaceserver/vllm/vllm_model.py | 5 +- python/huggingfaceserver/poetry.lock | 1161 ++++++++--------- python/huggingfaceserver/pyproject.toml | 6 +- python/huggingfaceserver/tests/test_model.py | 10 +- .../tests/test_vllm_model.py | 75 +- .../rest/openai/openai_chat_adapter_model.py | 11 +- .../protocol/rest/openai/types/README.md | 5 +- .../protocol/rest/openai/types/openapi.py | 13 + python/kserve/test/test_openai.py | 3 +- test/e2e/data/opt_125m_input_generate.json | 3 +- 13 files changed, 691 insertions(+), 614 deletions(-) diff --git a/python/huggingface_server.Dockerfile b/python/huggingface_server.Dockerfile index 07f1dc326aa..049b584afd3 100644 --- a/python/huggingface_server.Dockerfile +++ b/python/huggingface_server.Dockerfile @@ -9,7 +9,7 @@ ARG POETRY_HOME=/opt/poetry ARG POETRY_VERSION=1.8.3 # Install vllm -ARG VLLM_VERSION=0.6.1.post2 +ARG VLLM_VERSION=0.6.2 RUN apt-get update -y && apt-get install gcc python3.10-venv python3-dev -y && apt-get clean && \ rm -rf /var/lib/apt/lists/* diff --git a/python/huggingfaceserver/huggingfaceserver/generative_model.py b/python/huggingfaceserver/huggingfaceserver/generative_model.py index f9b6052ece1..16aaddc7a0b 100644 --- a/python/huggingfaceserver/huggingfaceserver/generative_model.py +++ b/python/huggingfaceserver/huggingfaceserver/generative_model.py @@ -384,7 +384,9 @@ def build_generation_config( return GenerationConfig(**kwargs) def apply_chat_template( - self, messages: Iterable[ChatCompletionRequestMessage] + self, + messages: Iterable[ChatCompletionRequestMessage], + chat_template: Optional[str] = None, ) -> ChatPrompt: """ Given a list of chat completion messages, convert them to a prompt. @@ -394,6 +396,7 @@ def apply_chat_template( str, self._tokenizer.apply_chat_template( [m.model_dump() for m in messages], + chat_template=chat_template, tokenize=False, add_generation_prompt=True, ), diff --git a/python/huggingfaceserver/huggingfaceserver/vllm/vllm_completions.py b/python/huggingfaceserver/huggingfaceserver/vllm/vllm_completions.py index 03390688b9e..219a4f4a1d7 100644 --- a/python/huggingfaceserver/huggingfaceserver/vllm/vllm_completions.py +++ b/python/huggingfaceserver/huggingfaceserver/vllm/vllm_completions.py @@ -359,9 +359,13 @@ def request_output_to_completion_response( def apply_chat_template( self, messages: Iterable[ChatCompletionRequestMessage,], + chat_template: Optional[str] = None, ): return self.tokenizer.apply_chat_template( - conversation=messages, tokenize=False, add_generation_prompt=True + conversation=messages, + chat_template=chat_template, + tokenize=False, + add_generation_prompt=True, ) async def _post_init(self): diff --git a/python/huggingfaceserver/huggingfaceserver/vllm/vllm_model.py b/python/huggingfaceserver/huggingfaceserver/vllm/vllm_model.py index 1033da0f8f3..49b3b6fd4c1 100644 --- a/python/huggingfaceserver/huggingfaceserver/vllm/vllm_model.py +++ b/python/huggingfaceserver/huggingfaceserver/vllm/vllm_model.py @@ -69,12 +69,15 @@ async def healthy(self) -> bool: def apply_chat_template( self, messages: Iterable[ChatCompletionRequestMessage,], + chat_template: Optional[str] = None, ) -> ChatPrompt: """ Given a list of chat completion messages, convert them to a prompt. 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= { version = "^0.6.1.post2", optional = true } -setuptools = {version = "^70.0.0", python = "3.12"} # setuptools is not part of python 3.12 +vllm = { version = "^0.6.2", optional = true } +setuptools = {version = ">=70.0.0", python = "3.12"} # setuptools is not part of python 3.12 [tool.poetry.extras] vllm = [ diff --git a/python/huggingfaceserver/tests/test_model.py b/python/huggingfaceserver/tests/test_model.py index 170d6d74d4e..95e0f1c7f7f 100644 --- a/python/huggingfaceserver/tests/test_model.py +++ b/python/huggingfaceserver/tests/test_model.py @@ -389,6 +389,9 @@ async def test_bloom_chat_completion(bloom_model: HuggingfaceGenerativeModel): messages=messages, stream=False, max_tokens=20, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest(params=params, context={}) response = await bloom_model.create_chat_completion(request) @@ -416,6 +419,9 @@ async def test_bloom_chat_completion_streaming(bloom_model: HuggingfaceGenerativ messages=messages, stream=True, max_tokens=20, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest(params=params, context={}) response = await bloom_model.create_chat_completion(request) @@ -498,6 +504,6 @@ async def test_input_padding_with_pad_token_not_specified( response = await openai_gpt_model.create_completion(request) assert ( response.choices[0].text - == "west, and the sun sets in the west. \n the sun rises in the" + == "west , and the sun sets in the west . \n the sun rises in the" ) - assert "a member of the royal family." in response.choices[1].text + assert "a member of the royal family ." in response.choices[1].text diff --git a/python/huggingfaceserver/tests/test_vllm_model.py b/python/huggingfaceserver/tests/test_vllm_model.py index 67af0357c23..1984565f80b 100644 --- a/python/huggingfaceserver/tests/test_vllm_model.py +++ b/python/huggingfaceserver/tests/test_vllm_model.py @@ -23,7 +23,11 @@ from huggingfaceserver.vllm.vllm_completions import OpenAIServingCompletion from huggingfaceserver.vllm.vllm_model import VLLMModel from kserve.logging import logger -from kserve.protocol.rest.openai import ChatCompletionRequest, CompletionRequest +from kserve.protocol.rest.openai import ( + ChatCompletionRequest, + CompletionRequest, + ChatPrompt, +) from kserve.protocol.rest.openai.errors import OpenAIError from kserve.protocol.rest.openai.types import ( CreateChatCompletionRequest, @@ -98,6 +102,54 @@ def mock_load(self) -> bool: mp.undo() +def compare_chatprompt_to_expected(actual, expected, fields_to_compare=None) -> bool: + if fields_to_compare is None: + fields_to_compare = [ + "response_role", + "prompt", + ] + for field in fields_to_compare: + if not getattr(actual, field) == getattr(expected, field): + logger.error( + "expected: %s\n got: %s", + getattr(expected, field), + getattr(actual, field), + ) + return False + return True + + +@pytest.mark.asyncio() +class TestChatTemplate: + async def test_vllm_chat_completion_tokenization_facebook_opt_model( + self, vllm_opt_model + ): + opt_model, _ = vllm_opt_model + + messages = [ + { + "role": "system", + "content": "You are a friendly chatbot who always responds in the style of a pirate", + }, + { + "role": "user", + "content": "How many helicopters can a human eat in one sitting?", + }, + ] + chat_template = ( + "{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}" + ) + response = opt_model.apply_chat_template(messages, chat_template) + + expected = ChatPrompt( + response_role="assistant", + prompt="You are a friendly chatbot who always responds in the style of a pirateHow many helicopters can a human eat in one sitting?", + ) + assert compare_chatprompt_to_expected(response, expected) is True + + def compare_response_to_expected(actual, expected, fields_to_compare=None) -> bool: if fields_to_compare is None: fields_to_compare = [ @@ -160,6 +212,9 @@ async def mock_generate(*args, **kwargs) -> AsyncIterator[RequestOutput]: messages=messages, stream=False, max_tokens=10, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest(params=params, context={}) response = await opt_model.create_chat_completion(request) @@ -216,6 +271,9 @@ async def mock_generate(*args, **kwargs) -> AsyncIterator[RequestOutput]: messages=messages, stream=False, max_tokens=10, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest( request_id=request_id, params=params, context={} @@ -275,6 +333,9 @@ async def mock_generate(*args, **kwargs) -> AsyncIterator[RequestOutput]: messages=messages, stream=True, max_tokens=10, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest( request_id=request_id, params=params, context={} @@ -325,6 +386,9 @@ async def mock_generate(*args, **kwargs) -> AsyncIterator[RequestOutput]: max_tokens=10, log_probs=True, top_logprobs=2, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest( request_id=request_id, params=params, context={} @@ -635,6 +699,9 @@ async def mock_generate(*args, **kwargs) -> AsyncIterator[RequestOutput]: max_tokens=10, log_probs=True, top_logprobs=2, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest( request_id=request_id, params=params, context={} @@ -890,6 +957,9 @@ async def mock_generate(*args, **kwargs) -> AsyncIterator[RequestOutput]: messages=messages, stream=True, max_tokens=2048, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest( request_id=request_id, params=params, context={} @@ -926,6 +996,9 @@ async def mock_generate(*args, **kwargs) -> AsyncIterator[RequestOutput]: stream=False, max_tokens=10, logit_bias={"1527": 50, "27449": 100}, + chat_template="{% for message in messages %}" + "{{ message.content }}{{ eos_token }}" + "{% endfor %}", ) request = ChatCompletionRequest( request_id=request_id, params=params, context={} diff --git a/python/kserve/kserve/protocol/rest/openai/openai_chat_adapter_model.py b/python/kserve/kserve/protocol/rest/openai/openai_chat_adapter_model.py index 6c0fc902e2f..c9583de478f 100644 --- a/python/kserve/kserve/protocol/rest/openai/openai_chat_adapter_model.py +++ b/python/kserve/kserve/protocol/rest/openai/openai_chat_adapter_model.py @@ -13,7 +13,7 @@ # limitations under the License. from abc import abstractmethod -from typing import AsyncIterator, Iterable, Union, cast +from typing import AsyncIterator, Iterable, Union, cast, Optional from kserve.protocol.rest.openai.types import ( ChatCompletion, @@ -53,7 +53,9 @@ class OpenAIChatAdapterModel(OpenAIModel): @abstractmethod def apply_chat_template( - self, messages: Iterable[ChatCompletionRequestMessage] + self, + messages: Iterable[ChatCompletionRequestMessage], + chat_template: Optional[str] = None, ) -> ChatPrompt: """ Given a list of chat completion messages, convert them to a prompt. @@ -193,7 +195,8 @@ def completion_to_chat_completion_chunk( ) async def create_chat_completion( - self, request: ChatCompletionRequest + self, + request: ChatCompletionRequest, ) -> Union[ChatCompletion, AsyncIterator[ChatCompletionChunk]]: params = request.params @@ -201,7 +204,7 @@ async def create_chat_completion( raise InvalidInput("n != 1 is not supported") # Convert the messages into a prompt - chat_prompt = self.apply_chat_template(params.messages) + chat_prompt = self.apply_chat_template(params.messages, params.chat_template) # Translate the chat completion request to a completion request completion_params = self.chat_completion_params_to_completion_params( params, chat_prompt.prompt diff --git a/python/kserve/kserve/protocol/rest/openai/types/README.md b/python/kserve/kserve/protocol/rest/openai/types/README.md index f4452921dcc..3de32bf1cc1 100644 --- a/python/kserve/kserve/protocol/rest/openai/types/README.md +++ b/python/kserve/kserve/protocol/rest/openai/types/README.md @@ -1,6 +1,7 @@ # Steps to generate - ```bash curl https://raw.githubusercontent.com/openai/openai-openapi/master/openapi.yaml -o openapi-2.0.0.yaml -datamodel-codegen --input openapi-2.0.0.yaml --input-file-type openapi --output openapi.py --output-model-type pydantic_v2.BaseModel --use-double-quotes --collapse-root-models --enum-field-as-literal all --strict-nullable \ No newline at end of file +datamodel-codegen --input openapi-2.0.0.yaml --input-file-type openapi --output openapi.py --output-model-type pydantic_v2.BaseModel --use-double-quotes --collapse-root-models --enum-field-as-literal all --strict-nullable``` + +Adapted from the generated `openapi.py` diff --git a/python/kserve/kserve/protocol/rest/openai/types/openapi.py b/python/kserve/kserve/protocol/rest/openai/types/openapi.py index 0db1fa5df1b..6eefed9f9b0 100644 --- a/python/kserve/kserve/protocol/rest/openai/types/openapi.py +++ b/python/kserve/kserve/protocol/rest/openai/types/openapi.py @@ -2705,6 +2705,19 @@ class CreateChatCompletionRequest(BaseModel): max_length=128, min_length=1, ) + chat_template: Optional[str] = Field( + default=None, + description=( + "A Jinja template to use for this conversion. " + "As of transformers v4.44, default chat template is no longer " + "allowed, so you must provide a chat template if the tokenizer " + "does not define one."), + ) + chat_template_kwargs: Optional[Dict[str, Any]] = Field( + default=None, + description=("Additional kwargs to pass to the template renderer. " + "Will be accessible by the chat template."), + ) class RunStepObject(BaseModel): diff --git a/python/kserve/test/test_openai.py b/python/kserve/test/test_openai.py index fab9b3825a0..f3e0fdcba38 100644 --- a/python/kserve/test/test_openai.py +++ b/python/kserve/test/test_openai.py @@ -14,7 +14,7 @@ from contextlib import asynccontextmanager from pathlib import Path -from typing import AsyncIterator, Callable, Iterable, List, Tuple, Union, cast +from typing import AsyncIterator, Callable, Iterable, List, Tuple, Union, cast, Optional from unittest.mock import MagicMock, patch import httpx @@ -86,6 +86,7 @@ async def create_completion( def apply_chat_template( self, messages: Iterable[ChatCompletionRequestMessage], + chat_template: Optional[str] = None, ) -> ChatPrompt: return ChatPrompt(prompt="hello") diff --git a/test/e2e/data/opt_125m_input_generate.json b/test/e2e/data/opt_125m_input_generate.json index 304436bfbab..c7dc381aeda 100644 --- a/test/e2e/data/opt_125m_input_generate.json +++ b/test/e2e/data/opt_125m_input_generate.json @@ -11,5 +11,6 @@ } ], "temperature": 0, - "max_tokens": 20 + "max_tokens": 20, + "chat_template": "{% for message in messages %}{{ message.content }}{{ eos_token }}{% endfor %}" }