小编Rab*_*ifa的帖子

我正在使用阿拉伯语 Bert 并批量传递我的训练数据集，我收到的错误消息是 Tensor 不能被视为 numpy 数组，但无法使用 detach().numpy() 分离到 numpy

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
    outputs = self.distribute_strategy.run(
<ipython-input-9-271b41658d5b>:46 call  *
    x = self.embed_with_bert(inputs)
<ipython-input-9-271b41658d5b>:39 embed_with_bert  *
    embds = self.bert_layer(all_tokens[:,0,:].detach().numpy(),

AttributeError: 'Tensor' object has no attribute 'detach'

当我将标记生成器更改为“tf”时也是如此

我收到以下错误：

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
    outputs = self.distribute_strategy.run(
<ipython-input-17-b2127b5212bc>:46 call  *
    x = self.embed_with_bert(inputs)
<ipython-input-53-b99c90611f94>:39 embed_with_bert  *
    embds = self.bert_layer([all_tokens[:,0,:],
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py:550 __call__  *
    result = self.forward(*input, **kwargs)
/usr/local/lib/python3.6/dist-packages/transformers/modeling_bert.py:691 forward  *
    input_shape = input_ids.size()

AttributeError: 'list' object has no attribute 'size'

也尝试过这个

embds = self.bert_layer(tf.unstack(all_tokens[:,0,:]),
                            tf.unstack(all_tokens[:,1,:]), …