Numpy '；张量'；对象没有属性'；分离'；

我正在使用阿拉伯语Bert并将我的训练数据集作为批传递，我得到的错误消息是，不能将张量视为numpy数组，但不能使用detach（）将其分离到numpy。numpy（）

但它产生了：

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
    outputs = self.distribute_strategy.run(
<ipython-input-64-e1ff853b33fb>:55 call  *
    x = self.embed_with_bert(inputs)
<ipython-input-29-d3665857b399>:44 embed_with_bert  *
    embds = self.bert_layer(tf.unstack(all_tokens[:,0,:]),tf.unstack(all_tokens[:,1,:]),tf.unstack(all_tokens[:,2,:])) #[:,0,:],all_tokens[:,1,:],all_tokens[:,2,:])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_ops.py:1510 unstack  **
    raise ValueError("Cannot infer num from shape %s" % value_shape)

ValueError: Cannot infer num from shape (None, None)

尽管：

此工作精细[t]由拥抱脸的标记器生成：

a = bert_layer(t["input_ids"], t["attention_mask"], t["token_type_ids"])

---

您的笔记本无法访问。另外，当您尝试分离张量时，会收到什么错误消息？

embds = self.bert_layer(tf.unstack(all_tokens[:,0,:]),
                            tf.unstack(all_tokens[:,1,:]),
                            tf.unstack(all_tokens[:,2,:])) 

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
    outputs = self.distribute_strategy.run(
<ipython-input-64-e1ff853b33fb>:55 call  *
    x = self.embed_with_bert(inputs)
<ipython-input-29-d3665857b399>:44 embed_with_bert  *
    embds = self.bert_layer(tf.unstack(all_tokens[:,0,:]),tf.unstack(all_tokens[:,1,:]),tf.unstack(all_tokens[:,2,:])) #[:,0,:],all_tokens[:,1,:],all_tokens[:,2,:])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_ops.py:1510 unstack  **
    raise ValueError("Cannot infer num from shape %s" % value_shape)

ValueError: Cannot infer num from shape (None, None)

embds = self.bert_layer(all_tokens[:,0,:],
                               all_tokens[:,1,:],
                               all_tokens[:,2,:])

a = bert_layer(t["input_ids"], t["attention_mask"], t["token_type_ids"])