RuntimeError: The size of tensor a (20) must match the size of tensor b (10) at non- singleton dimension 2 这个错误非常令人恼火,与之前在mnist数据集中出现的错误ii相同,有人能建议应该学习什么来解决或避免这些错误吗 train_outputtrain_similarity_tensor的最后维度是10。 我不完全确定你试图实现什么(...
changed the titleRuntimeError: The size of tensor a (350) must match the size of tensor b (524) at non-singleton dimension 2开启SoVITS训练时报错:RuntimeError: The size of tensor a (350) must match the size of tensor b (524) at non-singleton dimension 2on Mar 12, 2024 ...
apply_rope(q[..., : self.config.rope_n_elem], cos, sin) File "/home/lit-gpt/lit_gpt/model.py", line 346, in apply_rope roped = (x * cos) + (rotated * sin) RuntimeError: The size of tensor a (266) must match the size of tensor b (263) at non-singleton dimension 2 ...
pytorch报错 RuntimeError: The size of tensor a (25) must match the size of tensor b (50) at non-singleton dimension 1 怎么解决? 简介:这个错误提示表明,在进行某个操作时,张量a和b在第1个非单例维(即除了1以外的维度)上的大小不一致。例如,如果a是一个形状为(5, 5)的张量,而b是一个形状为(...
RuntimeError: The size of tensor a (128) must match the size of tensor b (16) at non-singleton dimension 0 这个错误出现的原因有好多种!! 其中一个比较可能的原因是因为:封装dataloader的时候,最后剩下的不足一个batchsize! 自带的dataloader就会有这个现象。 改正: batch_size_s = len(targets) #...
1.File "F:\recommend experience\doing\modeldemo.py"中的: self.user_dgi_feat = self.dgi.encoder(self.user_feat_sp_tensor).detach() 2. File "F:\recommend experience\doing\DGI\dgi.py", self.encoder =Encoder(g, in_feats, n_hidden, activation) ...
The size of tensor a (x) must match the size of tensor b (y) at non-singleton dimension z,程序员大本营,技术文章内容聚合第一站。
RuntimeError: The size of tensor a (32) must match the size of tensor b (128) at non-singleton dimension 1 原因分析与解决办法 这个就是训练用到的维度和其中参与计算的维度是不一致的,拿我本身的来说 (adj1).sum(1) + (adj1).sum(1) ...
问题:RT,下一组数据集的又变成RuntimeError: The size of tensor a (30) must match the size of tensor b (36) at non-singleton dimension 0,后面tensor b的值在不断变化 解决:全景分割里面初始设定的mask的数量是30个,数据集里的mask多于了30个,这时需要把初始mask数量调大 ...
RuntimeError: The expanded size of the tensor (1011) must match the existing size (512) at non-singleton dimension 1. Target sizes: [1, 1011]. Tensor sizes: [1, 512] 我试图设置标记器以截断最大长度,但它发现encoded_inputs为非类型,但图像仍然存在。这里怎么了?