首先,回答我,位置信息要加到哪里,答案是嵌入向量(embedding vector)里,跟上面的例子不同,这里是需要讨论维度的。对于【seq,dim】维度的嵌入向量,你在每一个维度加入序数,相当于做了一次平移,目前看上去好像没什么问题,我们列出公式来理解。 \begin{align*} PE(x_i) &= i \\ PE(x_{i+k}) &= PE(x_i...
mlc-llm ``` adaptive_softmax, SinusoidalPositionalEmbedding ops are not supported ```更新define ...
This work proposes a novel location encoder for globally distributed geographic data that combines spherical harmonic basis functions, natively defined on spherical surfaces, with sinusoidal representation networks (SirenNets) that can be interpreted as learned Double...
1D and 2D Sinusoidal positional encoding/embedding (PyTorch) In non-recurrent neural networks, positional encoding is used to injects information about the relative or absolute position of the input sequence. The Sinusoidal-based encoding does not require training, thus does not add additional paramete...
importtorchimporttorch.nn.functionalasF# 定义输入序列# 假设每个中文字是一个 token,并为每个句子添加一个 <CLS> tokensentence1=["<CLS>","小","明","喜","欢","小","红"]sentence2=["<CLS>","小","红","喜","欢","小","明"]# 假设每个 token 的 embedding 维度是 4embedding_dim=4#...