DataLossError (see above for traceback): file is too short to be an sstable [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_F
DataLossError (see above for traceback): file is too short to be an sstable
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT64], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
一般是tensorflow 训练生成的model.ckpt文件有问题,我的这次就是文件里面没数据,于是我修改checkpoint里面的东西,删除掉没数据的model.ckpt,修改主model.ckpt,然后再训练或者推导就可以了
DataLossError (see above for traceback): file is too short to be an sstable [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_F的更多相关文章
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