VectorQuantize是将每一个vector与内部的codebook做计算,然后得出一个quantized vector 下面是一个例子,可以通过debug来看一下内部具体的流程。下面的内容,也是根据debug走读代码分析而来。 importvector_quantize_pytorchasvqimporttorcha=torch.FloatTensor([-0.1,0.5,0.2,0.33,-0.6,0.2]).view(1,3,2)print('a=',...
import torch from vector_quantize_pytorch import ResidualVQ residual_vq = ResidualVQ( dim = 256, codebook_size = 256, num_quantizers = 4, kmeans_init = True, # set to True kmeans_iters = 10 # number of kmeans iterations to calculate the centroids for the codebook on init ) x = to...
从上面的例子中可以清晰地看出来,vector插入10个元素之后,capacity()函数返回13,当插入第14个元素时,begin()所代表的内存位置发生了变化。 回到“如果超过了capacity()的数量时,vector就有必要重新配置内部存储器。” vector的容量之所以很重要,有一下两个原因 一旦重新分配内存,与vector相关的所有references, pointers...
确认'vector_quantize_pytorch'是否是一个存在的Python库: vector_quantize_pytorch 并不是一个广为人知的、在PyPI(Python Package Index)上广泛分布的官方库。它可能是一个特定的、小众的库,或者是一个项目内部使用的模块。因此,首先我们需要确认这个库是否存在,并且它的来源。 检查是否已正确安装了'vector_quantize...
Vector (and Scalar) Quantization, in Pytorch. Contribute to haoheliu/vector-quantize-pytorch development by creating an account on GitHub.
vector-quantize-pytorch lucidrains Fetched on 2024/11/28 16:20 lucidrains/vector-quantize-pytorch Vector (and Scalar) Quantization, in Pytorch -View it on GitHub Star 2669 Rank 12771
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vector_quantize_pytorch .gitignore LICENSE README.md setup.py Breadcrumbs vector-quantize-pytorch / images/ Directory actions More options Latest commit Cannot retrieve latest commit at this time. HistoryHistory Folders and files Name Last commit message Last commit date parent directory .. fsq.png...
8 changes: 4 additions & 4 deletions 8 vector_quantize_pytorch/lookup_free_quantization.py Original file line numberDiff line numberDiff line change @@ -291,6 +291,10 @@ def forward( codebook_value = torch.ones_like(x) * self.codebook_scale...
[project] name = "vector-quantize-pytorch" version = "1.18.4" version = "1.18.5" description = "Vector Quantization - Pytorch" authors = [ { name = "Phil Wang", email = "lucidrains@gmail.com" } 0 comments on commit ca90db2 Please sign in to comment. Footer...