样例代码 #from vector_quantize_pytorch import kmeansimporttorchimporttorch.nn.functionalasFimportnumpyasnp# A no-operation function that does nothingdefnoop(*args,**kwargs):pass# Function to normalize a tensor using L2 normalizationdefl2norm(t,dim=-1,eps=1e-6):returnF.normalize(t,p=2,dim=...
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=',...
vector_quantize_pytorch 是一个用于向量量化的PyTorch库。你可以通过以下步骤来安装它: 打开你的命令行工具(例如:CMD、Terminal或Anaconda Prompt)。 输入以下pip命令来安装vector_quantize_pytorch: bash pip install vector_quantize_pytorch 等待安装完成。安装过程中,pip会自动下载并安装所需的依赖项。 验证安装:你...
$ pip install vector-quantize-pytorch Usage import torch from vector_quantize_pytorch import VectorQuantize vq = VectorQuantize( dim = 256, codebook_size = 512, # codebook size decay = 0.8, # the exponential moving average decay, lower means the dictionary will change faster commitment_weight =...
vector将元素复制到内部的dynamic array中,元素之间总是存在某种顺序,所以vectors是一种有序群集(ordered collection)。vector支持随机存取,因此只要知道位置,你可以在常数时间内存取任何一个元素。vector的迭代器是随机存取迭代器,所以STL的任何算法都可以奏效。
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@@ -1,6 +1,6 @@ [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. ...
vector-quantize-pytorch/vector_quantize_pytorch/residual_sim_vq.py Line 153 in ac5d631 should_quantize_dropout = self.training and self.quantize_dropout and not return_loss [rank2]: File "/home/ubuntu/sky_workdir/my_cool_project/sim_vq.py", line 313, in forward [rank2]: should_qua...
name="vector-quantize-pytorch" 3- version="1.14.38" 3+ version="1.14.39" 44 description="Vector Quantization - Pytorch" 55 authors= [ 66 {name="Phil Wang",email="lucidrains@gmail.com"} Original file line numberDiff line numberDiff line change ...
vector-quantize-pytorch/vector_quantize_pytorch/vector_quantize_pytorch.py Line 33 in 1155588 return (rearrange(x2, 'b i -> b i 1') + rearrange(y2, 'b j -> b 1 j') + xy).sqrt() (x-y)^2 could be negative if computed as x^2 + y^2 - 2xy due...