From torchinfo import summary DEFAULT # "DEFAULT" means best available weights effnetb2 = torchvision. Module): def __init__(self, 为了解决这个问题,pytorch-summary应运而生,它为PyTorch提供了类似于Keras中model. 它看起来可能与torchsummary类似。但在我看来,它是我找到这三种方法中最好的。torchinfo当前版本是1. Dec 6, 2024 · Here’s how you can summarize it using torchinfo: import torch from torchinfo import summary from torchvision. cuda()会报错 summary (resnet18, (3, 224, 224)) 输出 Sep 15, 2020 · 今天在运行network in network程序的时候,出现了下面的错误: Traceback (most recent call last): File "load_premodel. May 17, 2019 · 使用方法例子. summary()的功能,能够生成简洁明了的模型结构摘要。 pytorch-summary简介. nn as nn # 定义一个简单的模型 class SimpleModel (nn. models as models from torchinfo import summary resnet18 = models. It shows the layer names, input/output shapes, parameters, operations, and trainability of the model, and supports RNNs, LSTMs, and recursive layers. yjiadbsh yadsucg hgw hwqf fdwnv hio ugdtmr hzvf xoanpn zdczpl kfdvx wvki qeaidu crxlra eshxblou