# Copyright (c) 2023 Baidu, Inc. 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,
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"""
FineTune API
"""
from typing import Any, Dict, Optional
from qianfan.consts import Consts
from qianfan.resources.console.utils import console_api_request
from qianfan.resources.typing import QfRequest
[docs]class FineTune(object):
"""
Class for FineTune API
"""
[docs] @classmethod
@console_api_request
def get_job(cls, task_id: int, job_id: int, **kwargs: Any) -> QfRequest:
"""
Retrieves a job for model fine-tuning.
This method is responsible for retrieving a job for the specified fine-tuning
task and job IDs.
Parameters:
task_id (int):
The ID of the task associated with the fine-tuning job.
job_id (int):
The ID of the fine-tuning job to retrieve.
kwargs (Any):
Additional keyword arguments that can be passed to customize the request.
Note:
The `@console_api_request` decorator is applied to this method, enabling it to
send the generated QfRequest and return a QfResponse to the user.
API Doc: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/wlmrgowee
"""
req = QfRequest(method="POST", url=Consts.FineTuneGetJobAPI)
req.json_body = {"taskId": task_id, "jobId": job_id, **kwargs}
return req
[docs] @classmethod
@console_api_request
def create_task(
cls,
name: str,
base_train_type: str,
train_type: str,
description: Optional[str] = None,
**kwargs: Any
) -> QfRequest:
"""
Create a model fine-tuning task.
This function is used to create a model fine-tuning task. The task can be
customized with a name and description.
Parameters:
name (str):
The name of the fine-tuning task.
description (Optional[str]):
An optional description for the fine-tuning task.
kwargs (Any):
Additional keyword arguments that can be passed to customize the request.
Note:
The `@console_api_request` decorator is applied to this method, enabling it to
send the generated QfRequest and return a QfResponse to the user.
API Doc: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/almrgn397
"""
req = QfRequest(method="POST", url=Consts.FineTuneCreateTaskAPI)
req.json_body = {
"name": name,
"baseTrainType": base_train_type,
"trainType": train_type,
**kwargs,
}
if description is not None:
req.json_body["description"] = description
return req
[docs] @classmethod
@console_api_request
def create_job(cls, job: Dict[str, Any], **kwargs: Any) -> QfRequest:
"""
Create a job for fine-tuning a model.
This function creates a job for fine-tuning a model.
Parameters:
job (Dict[str, Any]):
A dictionary containing job details and configurations. The fields are same
with the API doc.
kwargs (Any):
Additional keyword arguments that can be passed to customize the request.
Note:
The `@console_api_request` decorator is applied to this method, enabling it to
send the generated QfRequest and return a QfResponse to the user.
API Doc: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/mlmrgo4yx
"""
req = QfRequest(method="POST", url=Consts.FineTuneCreateJobAPI)
req.json_body = {**job, **kwargs}
return req
[docs] @classmethod
@console_api_request
def stop_job(cls, task_id: int, job_id: int, **kwargs: Any) -> QfRequest:
"""
Stop a fine-tuning job.
This function allows the stopping of a fine-tuning job associated with a
specific task.
Parameters:
task_id (int):
The identifier of the task associated with the fine-tuning job.
job_id (int):
The identifier of the fine-tuning job to be stopped.
kwargs:
Additional keyword arguments that can be passed to customize the request.
Note:
The `@console_api_request` decorator is applied to this method, enabling it to
send the generated QfRequest and return a QfResponse to the user.
API Doc: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/2lnlebz15
"""
req = QfRequest(method="POST", url=Consts.FineTuneStopJobAPI)
req.json_body = {"taskId": task_id, "jobId": job_id, **kwargs}
return req