The size of the 3d attn_mask is not correct
WebApr 26, 2024 · When given a binary mask and a value is True, the corresponding value on the attention layer will be ignored. When given a byte mask and a value is non-zero, the corresponding value on the attention layer will be ignored attn_mask – 2D or 3D mask that prevents attention to certain positions. Webattn_mask ( Optional[Tensor]) – If specified, a 2D or 3D mask preventing attention to certain positions. Must be of shape (L, S) (L,S) or (N\cdot\text {num\_heads}, L, S) (N ⋅ …
The size of the 3d attn_mask is not correct
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WebPass the inputs (and mask) through the decoder layer. Parameters: tgt ( Tensor) – the sequence to the decoder layer (required). memory ( Tensor) – the sequence from the last layer of the encoder (required). tgt_mask ( Optional[Tensor]) – the mask for … Websrc ( Tensor) – the sequence to the encoder (required). mask ( Optional[Tensor]) – the mask for the src sequence (optional). is_causal ( Optional[bool]) – If specified, applies a causal …
WebDec 22, 2024 · scores.masked_fill_(attn_mask, -1e20) Any methods/functions in PyTorch that end in an underscore represent an inplace version of such operation. For example, multiplication can be done via mul or its inplace equivalent mul_ WebJul 1, 2024 · Say, mask is of shape N, T, S, then with torch.repeat_interleave (mask, num_heads, dim=0) each mask instance (in total there are N instances) is repeated …
WebApr 28, 2024 · However, I can not seem to get the dimensions right. The nn.Transformer documentation dictates the source size as (source sequence length, batch size, feature … Web1) replace the readout layer with MuReadout or MuSharedReadout, 2) use fan_in style initialization, 3) change attention scaling to 1/d instead of 1/sqrt (d), and 4) zero initialization of query weights ''' def init_method_normal (sigma): """Init method based on N (0, sigma).""" def init_ (tensor):
WebIf a 3D mask: (N\cdot\text {num\_heads}, L, S) (N ⋅num_heads,L,S) where N is the batch size, L is the target sequence length, S is the source sequence length. attn_mask ensure that position i is allowed to attend the unmasked positions.
Webattn_mask = attn_mask.unsqueeze(0) if list(attn_mask.size()) != [1, query.size(0), key.size(0)]: raise RuntimeError("The size of the 2D attn_mask is not correct.") elif … family guy wrongWebJul 1, 2024 · Say, mask is of shape N, T, S, then with torch.repeat_interleave (mask, num_heads, dim=0) each mask instance (in total there are N instances) is repeated num_heads times and stacked to form num_heads, T, S shape array. Repeating this for all such N masks we'll finally get an array of shape: family guy xbox 36ratedWebJul 15, 2024 · 1 Transformer中的掩码. 由于在实现多头注意力时需要考虑到各种情况下的掩码,因此在这里需要先对这部分内容进行介绍。. 在Transformer中,主要有两个地方会用到掩码这一机制。. 第1个地方就是在上一篇文章用介绍到的Attention Mask,用于在训练过程中解 … family guy written byWebelse: assert attn_mask.is_floating_point() or attn_mask.dtype == torch.bool, \ f"Only float, byte, and bool types are supported for attn_mask, not {attn_mask.dtype}" # ensure attn_mask's dim is 3 if attn_mask.dim() == 2: correct_2d_size = (tgt_len, src_len) if attn_mask.shape != correct_2d_size: raise RuntimeError(f"The shape of the 2D attn ... family guy ww2WebSep 8, 2024 · attn_mask = attn_mask. unsqueeze (0) elif attn_mask. dim == 3: correct_3d_size = (bsz * num_heads, tgt_len, src_len) if attn_mask. shape!= … cook news herald obituariesWeb因为在decoder解码的时候,只能看该位置和它之前的,如果看后面就犯规了,所以需要attn_mask遮挡住。 下面函数直接复制PyTorch的,意思是确保不同维度的mask形状正确 … family guy ww5family guy xbox controller