tgt_key_padding_mask: the mask for the tgt keys per batch (optional). memory_key_padding_mask: the mask for the memory keys per batch (optional). Shape: see the docs in Transformer class. """ tgt2 = self.self_a
attn_windows = self.attn(x_windows, mask=self.attn_mask) # nW*B, window_size*window_size, C # merge windows attn_windows = attn_windows.view(-1, self.window_size, self.window_size, C) shifted_x = window_reverse(attn_windows, self.window_size, H, W) # B H' W' C # reverse ...
🐛 Describe the bug torch.compile raises attn_mask dtype RuntimeError import math import torch torch.manual_seed(420) class Model(torch.nn.Module): def __init__(self): super(Model, self).__init__() def forward(self, query: torch.Tensor, k...
MultiheadAttention(embed_dim, num_heads) >>> attn_output, attn_output_weights = multihead_attn(query, key, value) forward(query, key, value, key_padding_mask=None, need_weights=True, attn_mask=None)[source] Parameters: key, value (query,)– map a query and a set of key-value ...
attn_mask– mask that prevents attention to certain positions. This is an additive mask (i.e. the values will be added to the attention layer). Inputs: query: (L,N,E)(L, N, E)(L,N,E) where L is the target sequence length, N is the batch size, E is the embedding dimension....
🚀 The feature, motivation and pitch It would still be great if torch.nn.functional.scaled_dot_product_attention() supported setting both attn_mask and is_causal=True. In which case it ignores the upper triangular part of attn_mask and im...
跑一个 SDXL 模型也不知道为什么就出现这个问题。 上网搜了下发现这么个 issue: https://github.com/kijai/ComfyUI-SUPIR/issues/143 直接装 open-clip-torch 的旧版本: pip install open-clip-torch==
key_padding_mask=None,*k和v掩码标志,(batch,source_seq_len) need_weights=True, attn_mask=None)*attn掩码标志,(target_seq_len,source_seq_len)或(batch*num_heads,target_seq_len,source_seq_len) 输出: attn_output*(target_seq_len,batch,embed_dim) ...
SDXL Error : "The shape of the 2D attn_mask is torch.Size([77, 77]), but should be (1, 1)",跑一个SDXL模型也不知道为什么就出现这个问题。上网搜了下发现这么个issue:https://github.com/kijai/ComfyUI-SUPIR/issues/143直接装open-clip-torch的旧版本:pipinstallo
forward(query, key, value, key_padding_mask=None, need_weights=True, attn_mask=None, average_attn_weights=True) 下面是所传参数的解读👇 前三个参数就是attention的三个基本向量元素Q,K,V query –Query embeddings of shape for unbatched input, when batch_first=False or when batch_first=True...