ipex-llm/python/llm/example/CPU/QLoRA-FineTuning/alpaca-qlora/utils/prompter.py
Wang, Jian4 c5cb3ab82e LLM : Add CPU alpaca qlora example (#9469)
* init

* update xpu to cpu

* update

* update readme

* update example

* update

* add refer

* add guide to train different datasets

* update readme

* update
2023-11-21 09:19:58 +08:00

81 lines
2.9 KiB
Python

#
# Copyright 2016 The BigDL Authors.
#
# 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.
#
# Some parts of this file is adapted from
# https://github.com/tloen/alpaca-lora/blob/main/utils/prompter.py
#
# Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li
# 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 json
import os.path as osp
from typing import Union
from bigdl.llm.utils.common import invalidInputError
class Prompter(object):
__slots__ = ("template", "_verbose")
def __init__(self, template_name: str = "", verbose: bool = False):
self._verbose = verbose
if not template_name:
# Enforce the default here, so the constructor can be called with '' and will not break.
template_name = "alpaca"
file_name = osp.join("templates", f"{template_name}.json")
if not osp.exists(file_name):
invalidInputError(False, f"Can't read {file_name}")
with open(file_name) as fp:
self.template = json.load(fp)
if self._verbose:
print(
f"Using prompt template {template_name}: {self.template['description']}"
)
def generate_prompt(
self,
instruction: str,
input: Union[None, str]=None,
label: Union[None, str]=None,
) -> str:
# returns the full prompt from instruction and optional input
# if a label (=response, =output) is provided, it's also appended.
if input:
res = self.template["prompt_input"].format(
instruction=instruction, input=input
)
else:
res = self.template["prompt_no_input"].format(
instruction=instruction
)
if label:
res = f"{res}{label}"
if self._verbose:
print(res)
return res
def get_response(self, output: str) -> str:
return output.split(self.template["response_split"])[1].strip()