WebAssertionError:xxx in multi_head_attention_forward assert key_padding_mask.size(0) == bsz 企业开发 2024-04-07 18:17:03 阅读次数: 0 解决: transformer encoder 和decoder过程中,mask的维度和bachsize的设置不一致, WebOur Products. Protect your workers from potential hazards in the workplace with our personal protective equipment (PPE). We offer a complete range of protective clothing …
Transformer源代码解释之PyTorch篇 - 知乎 - 知乎专栏
WebAug 1, 2024 · 其中 S 是输入序列长度,N 是 batch size,E 是词向量的维度. key_padding_mask:如果提供了这个参数,那么计算 attention score 时,忽略 Key 矩阵中某些 padding 元素,不参与计算 attention ... (0, 1) v = v.contiguous().view(-1, bsz * num_heads, head_dim).transpose(0, 1) if key_padding_mask is not None ... Webif key_padding_mask is not None: assert key_padding_mask.shape == (bsz, src_len), \ f"expecting key_padding_mask shape of { (bsz, src_len)}, but got {key_padding_mask.shape}" key_padding_mask = key_padding_mask.view(bsz, 1, 1, src_len). \ expand(-1, num_heads, -1, -1).reshape(bsz * num_heads, 1, src_len) # … gretchen culp
AssertionError:xxx in multi_head_attention_forward assert …
Webassert v is not None attn = torch.bmm (attn_probs, v) assert list (attn.size ()) == [bsz * self.num_heads, tgt_len, self.head_dim] if self.onnx_trace and attn.size (1) == 1: # when ONNX tracing a single decoder step (sequence length == 1) # the transpose is a no-op copy before view, thus unnecessary attn = attn.contiguous ().view (tgt_len, bsz, … Web文档中提到,要向nn.TransformerEncoder模块的forward函数添加参数src_key_padding_mask。 这个掩码应该是一个具有形状( batch-size, seq-len )的张 … Web20 апреля 202445 000 ₽GB (GeekBrains) Офлайн-курс Python-разработчик. 29 апреля 202459 900 ₽Бруноям. Офлайн-курс 3ds Max. 18 апреля 202428 900 ₽Бруноям. Офлайн-курс Java-разработчик. 22 апреля 202459 900 ₽Бруноям. Офлайн-курс ... gretchen cuddy alaska