我正在尝试通过博客文章实现和训练 NMT 变压器，一切正常，除了我无法创建无峰值掩模，因为我收到此错误:“TypeError:数据类型不理解”
代码:
target_seq = batch.Python.transpose(0,1)
target_pad = PY_TEXT.vocab.stoi['<pad>']
target_msk = (target_seq != target_pad).unsqueeze(1)
size = target_seq.size(1) # get seq_len for matrix
nopeak_mask = np.triu(np.ones(1, size, size),
k=1).astype('uint8')
nopeak_mask = Variable(torch.from_numpy(nopeak_mask) == 0)
target_msk = target_msk & nopeak_mask
错误消息:
TypeError Traceback (most recent call last)
<ipython-input-36-e19167b74ba0> in <module>()
4 target_msk = (target_seq != target_pad).unsqueeze(1)
5 size = target_seq.size(1) # get seq_len for matrix
----> 6 nopeak_mask = np.triu(np.ones(1, size, size),
7 k=1).astype('uint8')
8 nopeak_mask = Variable(torch.from_numpy(nopeak_mask) == 0)
~/.local/lib/python3.6/site-packages/numpy/core/numeric.py in ones(shape, dtype, order)
201
202 """
--> 203 a = empty(shape, dtype, order)
204 multiarray.copyto(a, 1, casting='unsafe')
205 return a
TypeError: data type not understood
最佳答案
np.triu 的第一个输入应该是所需大小的元组，而不是 numpy 数组。
尝试:
np.triu((1, size, size), k=1).astype("uint8")
关于python - 创建变压器无峰值掩码时如何修复 numpy 中的 "TypeError: data type not understood"，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/55694263/