attn_mask只用于Decoder训练时的解码过程，作用是掩盖掉当前时刻之后的信息，让模型只能看到当前时刻（包括...
dropout(attn, p) attn = attn @ value return attn.transpose(1, 2) bs = 1 num_attention_heads = 16 seq_len = 128 attn_head_size = 32 scale = 1.0 / attn_head_size ** 0.5 dtype = torch.float32 attn_mask = torch.zeros(1, num_attention_heads, seq_len, seq_len).cuda() attn_...
attn_masks = [None for _ in range(self.num_attn)] elif isinstance(attn_masks, torch.Tensor): attn_masks = [ copy.deepcopy(attn_masks) for _ in range(self.num_attn) ] warnings.warn(f'Use same attn_mask in all attentions in ' f'{self.__class__.__name__} ') else: assert le...
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
-inf和0是浮点数掩码，-inf是负无穷，它会和注意力权重逐元素相加（attn_mask里的逻辑），所以说掩码...
🐛 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...
I'm getting an error, using SDXL model helloworldXL50GPT4 and the latest SUPIR-v0Q safetensors: Error occurred when executing SUPIR_conditioner: The shape of the 2D attn_mask is torch.Size([77, 77]), but should be (1, 1). File "C:\Users\...
attn_mask：2维或者3维的矩阵。用来避免指定位置的embedding输入。2维矩阵形状要求：（L, S）；也支持...
3、运行环境win10；win7未测试，估计是可以。需要一张6G或以上显存的英伟达显卡，虽然4G的1050ti勉强也...
mask=base_mask.clone() ifattn_maskisnotNone: mask=attn_mask[:,start_y:start_y+tile_size,start_x:start_x+tile_size] mask[:,start_y:start_y+tile_size,start_x:start_x+tile_size]=attn_mask[:,start_y:start_y+tile_size,start_x:start_x+tile_size] ...