Import Pathlib

Nov 19, 2023 | modal.com | Import Pathlib

The modal.Volume is a mutable volume built forhigh-performance file serving. Like themodal.NetworkFileSystem, thesevolumes can be simultaneously attached to multiple Modal functions, supportingconcurrent reading and writing. But unlike the modal.NetworkFileSystem, themodal.Volume has been designed for fast reads and does not automaticallysynchronize writes between mounted volumes. The modal.Volume works best with write-once, read-many I/O workloads.

Sep 8, 2023 | blog.csdn.net | Import Pathlib

🍨 本文为🔗365天深度学习训练营 中的学习记录博客 🍦 参考文章：Pytorch实战 | 第P4周：猴痘病识别 🍖 原作者：K同学啊|接辅导、项目定制 1.设置GPU ''' 设置GPU ''' device = torch.device("cuda" if torch.cuda.is_available() else "cpu") print("Using {} device".format(device)) 没有GPU则使用CPU 2.导入数据、数据预处理 import os,PIL,random,pathlib data_dir = r'D:\P4' data_dir = pathlib.Path(data_dir) data_paths = list(data_dir.glob('*')) class_names = [path.name for path in data_paths] print(class_names) import pathlib import torchvision.transforms as transforms from...

Aug 17, 2023 | blog.csdn.net | Import Pathlib

🍨 本文为🔗365天深度学习训练营 中的学习记录博客 🍦 参考文章：Pytorch实战 | 第P3周：彩色图片识别：天气识别 🍖 原作者：K同学啊 | 接辅导、项目定制 🚀 文章来源：K同学的学习圈子 系统: Linux 语言: Python3.8.10 深度学习框架: Pyto2.0.0+cu118 环境设置 首先是包引用 import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F from torch.utils.data import DataLoader, random_split from torchvision import datasets, transforms import matplotlib.pyplot as plt from torchinfo import summary 查询当前环境的GPU是否可用 print(torch.cuda.is_available()) 创建一个全局的设备对象，用于使各类数据处于相同的设备中...

Apr 6, 2023 | towardsdatascience.com | Import Pathlib

Static type checking for PythonWe mentioned mypy as a must-have in a previous post about Python best practices — here, we want to introduce it with more details. mypy, as the docs explain, is a “static type checker for Python”. This means, it adds type annotations and checks to the language Python, which is dynamically typed by design (types are inferred at runtime, as opposed to, e.g. C++).

Apr 5, 2023 | til.simonwillison.net | Import Pathlib

Natalie has been experimenting with using a microwave as a kiln for pottery, specifically for Raku. She wanted to understand how long to run the microwave to reach the desired temperature for the Raku glazes to work. But... her thermometer can't go in the microwave while it's running. So she needs to remove the kiln component from the microwave, attach it to the thermometer and measure how it cools over time in order to calculate its peak temperature while the microwave is running.