The size of the 3d attn_mask is not correct
Webattn_mask: 2D or 3D mask that prevents attention to certain positions. A 2D mask will be broadcasted for all the batches while a 3D mask allows to specify a different mask for the entries of each batch. use_separate_proj_weight: the function accept the proj. weights for query, key, and value in different forms. WebRaise code raise RuntimeError(f"The shape of the 2D attn_mask is {attn_mask.shape}, but should be {correct_2d_size}.") attn_mask = attn_mask.unsqueeze(0) elif attn_mask.dim() …
The size of the 3d attn_mask is not correct
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WebJan 12, 2024 · RuntimeError: The shape of the 2D attn_mask is torch.Size ( [538, 3225]), but should be (3225, 3225). And I test for several times, every time I changed the number of GPUs. The shape of mask would get divided by the number of GPUs. I dont know how to solve this. nlp pytorch transformer-model Share Improve this question Follow 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 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:
WebJan 1, 2024 · The pytorch documentation says that the shape of the target_mask should be (T, T) (which means (seq_len, seq_len)), but there is no description of the batch size, so I’m not sure how to input the target_mask, so I want to know the shape of transformer’s … 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 …
Web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 … 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.
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 …
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_ medication for sweaty armpitsWebelse: 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 ... medication for svt treatmentWebif attn_mask.dim() == 2: attn_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 … nabertherm indonesiaWeb1) 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): medication for sweating feetWebJul 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 … nabertherm glasovensWebUse bool tensor instead.") attn_mask = attn_mask.to(torch.bool) if attn_mask.dim() == 2: attn_mask = attn_mask.unsqueeze(0) if list(attn_mask.size()) != [1, query.size(0), … nabertherm germanyWebThe shape of the 3D attn_mask is (attn_mask.shape), but should be (correct_3d_size). Package: torch 50580 Exception Class: RuntimeError Raise code medication for svt uk