pytorch: RuntimeError: 1only batches of spatial targets supported but got targets of size : : xx

时间 2020-07-20

标签 pytorch runtimeerror 1only batches spatial targets supported got size 繁體版

原文原文链接

@[TOC](RuntimeError: 1only batches of spatial targets supported (non-empty 3D tensors) but got targets of size: : [64])web 问题描述今天在使用pytorch编写修改网络结构的时候，遇到了一个问题：以下图所示，是求网络输出和label之间交叉熵的时候遇到维度不匹配。因此输出

>>阅读原文<<

1. pytorch: RuntimeError: 1only batches of spatial targets supported but got targets of size : : xx
2. pytorch版本UNet训练报错：1only batchs if spatial targets supported (non-empty 3D tensor) but got targets ..
3. RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'target'
4. 解决PyTorch报错：RuntimeError: Expected object of backend CPU but got backend CUDA for argument #2 'other
5. RuntimeError: Expected object of scalar type Long
6. 【pytorch】RuntimeError: Integer division of tensors using div or / is no longer supported【解决】
7. ValueError: class_weight not supported for 3+ dimensional targets
8. pyltp RuntimeError: incompatible native format - size of long
9. RuntimeError: CUDA out of memory
10. mmdetection2.3.0训练报错：RuntimeError: The size of tensor a (8) must match the size of tensor b (81)
更多相关文章...
• XSLT 元素 - XSLT 教程
• XSLT 元素 - XSLT 教程
• JDK13 GA发布：5大特性解读
• 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解

最新文章

1. JDK JRE JVM,JDK卸载与安装
2. Unity NavMeshComponents 学习小结
3. Unity技术分享连载（64）|Shader Variant Collection|Material.SetPassFast
4. 为什么那么多人用“ji32k7au4a83”作密码？
5. 关于Vigenere爆0总结
6. 图论算法之最小生成树（Krim、Kruskal）
7. 最小生成树简单入门
8. POJ 3165 Traveling Trio 笔记
9. 你的快递最远去到哪里呢
10. 云徙探险中台赛道：借道云原生，寻找“最优路线”

本站公众号

欢迎关注本站公众号,获取更多信息

1. pytorch: RuntimeError: 1only batches of spatial targets supported but got targets of size : : xx
2. pytorch版本UNet训练报错：1only batchs if spatial targets supported (non-empty 3D tensor) but got targets ..
3. RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'target'
4. 解决PyTorch报错：RuntimeError: Expected object of backend CPU but got backend CUDA for argument #2 'other
5. RuntimeError: Expected object of scalar type Long
6. 【pytorch】RuntimeError: Integer division of tensors using div or / is no longer supported【解决】
7. ValueError: class_weight not supported for 3+ dimensional targets
8. pyltp RuntimeError: incompatible native format - size of long
9. RuntimeError: CUDA out of memory
10. mmdetection2.3.0训练报错：RuntimeError: The size of tensor a (8) must match the size of tensor b (81)

>>更多相关文章<<