pytorch: RuntimeError: 1only batches of spatial targets supported but got targets of size : : xx
@[TOC](RuntimeError: 1only batches of spatial targets supported (non-empty 3D tensors) but got targets of size: : [64]) 問題描述 今天在使用pytorch編寫修改網絡結構的時候，遇到了一個問題： 如下圖所示，是求網絡輸出和label之間交叉熵的時候遇到維度不匹配。 所以輸出cla
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- 1. pytorch: RuntimeError: 1only batches of spatial targets supported but got targets of size : : xx
- 2. pytorch版本UNet訓練報錯：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. 解決PyTorch報錯：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【解決】
- 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訓練報錯：RuntimeError: The size of tensor a (8) must match the size of tensor b (81)