yutinyang

When I use ResNet50(num_classes=10, resolution=(32, 32)) , remove the max-pooling for imagenet, and change self.conv1 for CIFAR10 , I just get a precision 89% on CIFAR10.

 line 24, in forward     x = leff(x[:, 1:])  ------------------ 原始邮件 ------------------ 发件人: "rishikksh20/CeiT-pytorch" ***@***.***>; 发送时间: 2021年4月9日(星期五) 下午5:31 ***@***.***>; ***@***.******@***.***>; 主题: Re: [rishikksh20/CeiT-pytorch] Error while training on CIFAR!! (#1) @yutinyang error occur in...