Comments (2)
stanleylsx
commented on May 23, 2024
train.py: train_dataset, val_dataset = data_manager.get_training_set()两个返回TensorSliceDataset无法用len函数 报错TypeError: object of type 'TensorSliceDataset' has no len() tensorflow版本v2.2.0 我试了几个版本，都不支持len
我降级为2.2没有出现这个问题哦，是不是你的数据集没有加载成功？
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zhaoyu123213
commented on May 23, 2024
train.py: train_dataset, val_dataset = data_manager.get_training_set()两个返回TensorSliceDataset无法用len函数 报错TypeError: object of type 'TensorSliceDataset' has no len() tensorflow版本v2.2.0 我试了几个版本，都不支持len
你好请问你最后解决了吗，我也出现了这个问题
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Related Issues (20)
- tensorflow版本与tensorflow-addons版本冲突 HOT 1
- 导入自己标注的文本，显示数据集为0的问题 HOT 7
- 导入自建数据集，出现training set size: 0, validating set size: 0 HOT 2
- 自己重新训练报错 HOT 5
- 替换为自己的数据后，出现错误 HOT 1
- python版本 HOT 2
- 代码问题 HOT 1
- 更换预训练模型，比如albert HOT 3
- 为什么每次predict的结果会不同呢 HOT 1
- 当我训练完bilstm-crf和idcnn-crf模型的时候，开始训练bert-bilstm-crf模型，老是报错 HOT 2
- 使用微调的时候，训练老是0，为什么 HOT 1
- 将自己的数据集分为四类替换进去并且修改了suffix里面的标签为自己的标签 ，出现如下错误 HOT 2
- tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[24,95] = -7 is not in [0, 100)出现这个问题应该怎么办 HOT 1
- idcnn训练时出现准确率和召回率全0 HOT 2
- 将bert微调后的模型进行迁移，迁移后预测就结果就会错误，而在原来的机器上是正常的 HOT 1
- Idcnn+crf 无法训练 HOT 1
- Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. HOT 1
- ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. HOT 1
- TypeError: 'NoneType' object is not callable
- 如何训练自己的数据集 HOT 1
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