RuntimeError：张量 a (1024) 的大小必须与非单维 3 的张量 b (512) 的大小相匹配

Question

我在做如下操作，

energy.masked_fill(mask == 0, float("-1e20")) 

我的 python 跟踪如下，

    File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "seq_sum.py", line 418, in forward
    enc_src = self.encoder(src, src_mask)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "seq_sum.py", line 71, in forward
    src = layer(src, src_mask)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "seq_sum.py", line 110, in forward
    _src, _ = self.self_attention(src, src, src, src_mask)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "seq_sum.py", line 191, in forward
    energy =  energy.masked_fill(mask == 0, float("-1e20"))
RuntimeError: The size of tensor a (1024) must match the size of tensor b (512) at non-singleton dimension 3

这些是我的注意力层代码，

    Q = self.fc_q(query)
    K = self.fc_k(key)
    V = self.fc_v(value)
    
    #Q = [batch size, query len, hid dim]
    #K = [batch size, key len, hid dim]
    #V = [batch size, value len, hid dim]
            
    # Q = Q.view(batch_size, -1, self.n_heads, self.head_dim).permute(0, 2, 1, 3)
    # K = K.view(batch_size, -1, self.n_heads, self.head_dim).permute(0, 2, 1, 3)
    # V = V.view(batch_size, -1, self.n_heads, self.head_dim).permute(0, 2, 1, 3)

    Q = Q.view(batch_size, -1, self.n_heads, self.head_dim).view(-1, 1024)
    K = K.view(batch_size, -1, self.n_heads, self.head_dim).view(-1, 1024)
    V = V.view(batch_size, -1, self.n_heads, self.head_dim).view(-1, 1024)
    energy = torch.matmul(Q, K.transpose(1,0)) / self.scale

我正在按照下面的 github 代码进行 seq to seq 操作，seq2seq pytorch 实际测试代码在以下位置，code to test a seq of 1024 to 1024 output

2nd example tried 在这里我已经注释掉了 pos_embedding 由于 CUDA 错误和大索引 (RuntimeError: cuda runtime error (59)

Answer 1

我查看了您的代码（顺便说一下，没有使用seq_len = 10 运行），问题是您在代码中将batch_size 硬编码为等于1（行143）。

看起来您尝试在其上运行模型的示例具有batch_size = 2。

只需取消注释您写batch_size = query.shape[0] 的前一行，一切正常。