因此,你应该直接从标准库中导入typing,而不是尝试从numpy中导入。正确的导入语句应该是: python from typing import List, Dict, Any # 示例导入,具体导入类型根据需求调整 numpy版本与导入支持: numpy库本身并不包含typing模块,因此numpy的版本与是否能从numpy中导入typing无关。即使你升级了numpy,也无法解决这个...
from typing import Optional, List, Type, Sequence, Dict, Union, Any, Callable from bottle import Response from fastapi import FastAPI, APIRouter, params, routing from fastapi.datastructures import Default from fastapi.routing import APIRoute from starlette.responses import JSONResponse from starlette.ro...
from pydantic import BaseModel from typing import Type, Callable, Dict, Any, List class ToolResult(BaseModel): content: str success: bool class Tool(BaseModel): name: str model: Type[BaseModel] function: Callable validate_missing: bool = False class Config: arbitrary_types_allowed = ...
import ast import math import json from typing import Union, List, Dict, Any from collections import Counter from inspect_ai.scorer._classification import compute_f1 def extract_number(s: Union[str, int, float]) -> float: """ Extract a number from a string, handling various currency symbols...
_loaderimportArgoverseForecastingLoaderfromargoverse.map_representation.map_apiimportArgoverseMapimportmatplotlib.pyplotaspltimportnumpyasnpimportpandasaspdfromtypingimportList,Dict,Anyimportosfromutils.configimportDATA_DIR, LANE_RADIUS, OBJ_RADIUS, OBS_LEN, INTERMEDIATE_DATA_DIRfromtqdmimporttqdmimportreimport...
import warnings warnings.simplefilter('ignore', category=NumbaPendingDeprecationWarning) from torchvf.losses import ivp_loss from typing import Any, Dict, List, Set, Tuple, Union, Callable # from torchvf.losses import ivp_loss # from typing import Any, Dict, List, Set, Tuple, Union, Callable...
from typing import List, Any from numbers import Number from collections import defaultdict from torch.utils._python_dispatch import TorchDispatchMode aten = torch.ops.aten def get_shape(i): return i.shape def prod(x): res = 1 ...
from typing import Dict, List, Optional, Union, Tuple, Iterable import numpy as np from PIL import Image import torch # Imagenet mean and std IMAGENET_STANDARD_MEAN = [0.5, 0.5, 0.5] IMAGENET_STANDARD_STD = [0.5, 0.5, 0.5] def resize( ...
List Tuple、NamedTuple Dict、Mapping、MutableMapping Set、AbstractSet Sequence Callable Union Optional 案例实战 参考链接: 写在篇前 typing 是python3.5中开始新增的专用于类型注解(type hints)的模块,为python程序提供静态类型检查,如下面的greeting函数规定了参数name的类型是str,返回值的类型也是str。
from typing import List def unload_lora(module: nn.Module, adapter_name: str = 'adapter'): """ 卸载lora 参数,并将原模型恢复至加载 lora 前的样子 """ lora_parameters = {} def search_lora_linear(module: nn.Module, prefix: List[str]): for name, child in module.named_children(): new...