train_w.py Error, TypeError: can't convert np.ndarray of type numpy.object_

[xiaoxiaoAurora]

Hi, Liyuan, I encountered the following problem while running train_w.py,
Traceback (most recent call last):
File "/workspace/train.py", line 117, in
shrink_to_corpus=args.shrink_embedding)
File "/workspace/models/utils.py", line 457, in load_embedding_wlm
embedding_tensor_1 = torch.FloatTensor(pretrained_weight)
TypeError: can't convert np.ndarray of type numpy.object_. The only supported types are: double, float, float16, int64, int32, and uint8.

And ,at the line 457, my coding as follows:
（1）
if not shrink_to_corpus:
pretrained_weight = np.asarray(outdoc_embedding_array)
embedding_tensor_1 = torch.from_numpy(pretrained_weight)
word_emb_len = embedding_tensor_0.size(1)
assert(word_emb_len == emb_len)

(2)
if not shrink_to_corpus:
embedding_tensor_1 = torch.Tensor(np.asarray(outdoc_embedding_array))
word_emb_len = embedding_tensor_0.size(1)
assert(word_emb_len == emb_len)

[Totoro-wen]

Have you solved this problem.

[wnismiddle]

I have encountered this problem before, but I just changed the embedding file.
The first line of the original embedding file shows vocab size and dimension, and the replaced file does not.
I don't know if this will help you.