Comments (2)
训练好的权重,用的这个repo训练的权重?可以先参考eval的代码
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哥,我知道参考这个eval.py去写一个test.py代码,但是我搞了一下午,一直报错一个问题RuntimeError: Expected object of scalar type float but got scalar type __int64 for sequence element 2.我搜到的解释是“类型不匹配的情况“但是无论我改成float32或者float64或者int32或者int64都还是报这个错误,再者就是我没有使用repo分布式训练,因为我只有一个GPU,所以把分布式训练的代码都改成了单GPU可运行的代码,但就是在test.py这一块怎么编写怎么报错,已经折磨了一整个下午了,能否加一下您的联系方式咨询一下这个代码的问题呢?真的非常感谢!!!!!
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Related Issues (6)
- No module named 'torchvision.models.utils'
- 请教数据集问题 HOT 1
- /opt/conda/conda-bld/pytorch_1634272126608/work/aten/src/ATen/native/cuda/Loss.cu:247: nll_loss_forward_reduce_cuda_kernel_2d: block: [0,0,0], thread: [2,0,0] Assertion `t >= 0 && t < n_classes` failed. HOT 1
- 缺少权重文件 HOT 1
- May I ask how the author solves this problem
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