Pytorch index_select_
WebIndexing a tensor in the PyTorch C++ API works very similar to the Python API. All index types such as None / ... / integer / boolean / slice / tensor are available in the C++ API, making translation from Python indexing code to C++ very simple. Webindex的shape本来是(2,2), 里面的每个value被expand成了一个(3,4)的tensor, 故最后结果为shape为(2,2,3,4)的tensor. 2. index_select和gather pytorch说明: index_select; gather. index_select(input, dim, index) Returns a new tensor which indexes the input tensor along dimension dim using the entries in index which is a LongTensor.
Pytorch index_select_
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WebJul 16, 2024 · As you can see index_select for a dense tensor runs incredibly quickly, but the pytorch index_select is atrociously slow for sparse tensors. However, the algorithm I wrote was several hundred times faster. For the use case I originally built this for it was several thousand times faster! I was wondering if my algorithm could replace the current ... WebJul 17, 2024 · index_select () index_select ()函数原型为: def index_select ( self, dim: _int, index: Tensor) -> Tensor: ... 第一参数大家都知道是表示 对象 。 第二个参数dim表示 维度, 具体取哪一个维度就要看你对象原本的维度数了,比如一个torch.Size ( [1, 3, 3])的张量,你想取某一列,那dim就该取2或-1,一个torch.Size ( [ 3,3])的张量,想取某一行的话,那dim …
WebApr 14, 2024 · 最近在准备学习PyTorch源代码,在看到网上的一些博文和分析后,发现他们发的PyTorch的Tensor源码剖析基本上是0.4.0版本以前的。比如说:在0.4.0版本中,你是无法找到a = torch.FloatTensor()中FloatTensor的usage的,只能找到a = torch.FloatStorage()。这是因为在PyTorch中,将基本的底层THTensor.h TH... WebOct 22, 2024 · 1 Answer Sorted by: 1 Using index_select () requires that the indexing values are in a vector rather than a tensor. But as long as that is formatted correctly, the function handles the broadcasting for you. The last thing that must be done is reshaping the output, I believe due to the broadcasting.
Webtorch.select torch.select(input, dim, index) → Tensor Slices the input tensor along the selected dimension at the given index. This function returns a view of the original tensor … WebFeb 26, 2024 · 在Pytorch中, index_select 和 gather 均是被用于张量选取的常用函数,本文通过实例来对比这两个函数。 1. index_select 沿着张量的某个 dim 方向,按照 index 规定的选取指定的低一维度张量元素整体,在拼接成一个张量。 其官方解释如下: torch.index_select(input, dim, index, out=None) """ Returns a new tensor which indexes the …
WebThe torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient serialization of Tensors and arbitrary types, and other useful utilities.
WebOct 26, 2024 · def batched_index_select (input, dim, index): for ii in range (1, len (input.shape)): if ii != dim: index = index.unsqueeze (ii) expanse = list (input.shape) … hok tau campsiteWebNov 16, 2024 · index_select ( dim, index ) 参数: dim:表示从第几维挑选数据,类型为int值; index:表示从第一个参数维度中的哪个位置挑选数据,类型为torch.Tensor类的实例; 功能: 从张量的某个维度的指定位置选取数据。 代码实例: t = torch.arange ( 24 ).reshape ( 2, 3, 4) # 初始化一个tensor,从0到23,形状为(2,3,4) print ( "t--->", t) index = torch.tensor ( … fásy zsüliett fogyásaWebOct 30, 2024 · I have tried two ways for batch index_select, but there are still some problems.Here are weight tensor and index: W = torch.rand (40000, 1024) index = … fasza hátterek