Pytorch count unique values. I’d like to do it efficiently without the for-loop.
Pytorch count unique values. md at master · facebookresearch/fvcore · GitHub. Are there any hacky ways of doing this? I see torch. larger than a specific value: For example, consider my_tensor = torch. tensor() in that this constructor will always construct a float tensor, even if the inputs are all integers. unique函数，可以用于计算张量中唯一值的数量。该函数 May 21, 2024 · This tutorial provides a detailed guide on using Pandas' value_counts function to count unique values, & integrate results with DataFrames for deeper insights. randint() torch. unique is a function used to identify and extract the unique elements (values that appear only once) from a given tensor Jan 20, 2022 · Why would there be three elements in the second row since column n°3 has only 1s, is that a side effect of looking for unique values? Jul 16, 2025 · In the field of deep learning and numerical computing, PyTorch has emerged as a powerful and widely - used library. As shown in the minimal example below, I would like to know how to find the index between two tensors of Bx3xN. size (dim) - 1 inclusive, and all values in a row along the specified dimension dim must be unique. Any Jul 27, 2020 · Hello, I have two questions regarding the unique function: 1- I figured out that in Pytorch documentation for unique function when sorted is not provided according to the example given in the documentation the default … The following are 30 code examples of torch. count_nonzero. PyTorch, a popular open - source machine learning library, provides functionality to count unique elements in a tensor. float()) then it is fine. What is torch. I'm trying to get the counts of unique items in a csv column using Python. I might have the following matrix a = torch. " Jul 16, 2025 · Counting values in tensors is a common operation that is useful in various scenarios such as data preprocessing, model evaluation, and debugging. unique(A, dim=1 Apr 17, 2024 · Buy Me a Coffee ☕ * [Warning]- unique () and unique_consecutive () are really tricky. This semantics is similar to std::unique in C++. , 3. Is there any PyTorch function which can do this? 这里， tensor 是输入的PyTorch张量， unique_values 是一个包含所有唯一值的新张量。如果输入张量包含重复的值， unique 函数会将它们看作一个。 下面是一个示例，展示了如何使用 unique 函数来查找张量中的唯一值： Sep 21, 2024 · PyTorch Tensor统计数值个数的实用指南 在深度学习和机器学习的世界里，数据处理是基础的一环。PyTorch是一个广泛使用的深度学习库，它为用户提供了高效的张量（tensor）处理功能。本文旨在介绍如何使用PyTorch统计张量中不同数值的个数，并附上相应的代码示例。希望读者能通过这篇文章更好地理解 Dec 23, 2016 · If data is a sequence or nested sequence, create a tensor of the default dtype (typically torch. grad are all zeros after using “torch. time ()-start) which gives 2 minutes on a TitanX and 0. unique is a function used to identify and extract the unique elements (values that appear only once) from a given tensor. Tensor Nov 6, 2024 · A comprehensive guide to counting parameters in PyTorch models, including practical examples and alternate methods. I understand your explanation above but how can one get the count for each row instead? ptrblck August 19, 2020, 4:03am 4 To get the count for each row, you would have to use dim=0 in the torch. I have a tensor a = [10, 20, 10, 30] and a tensor b = [100, 200, 100, 300]. This function is different from torch. e. randperm() You may also use torch. 3. Tensors are the core data structures in PyTorch, representing multi-dimensional arrays that can store various types of data, including scalars, vectors, matrices, and higher-dimensional arrays. UNIQUE Aug 7, 2020 · When I run it, count returns a shape of (2) instead of (2, 2) unlike uni. in the below example, we are accessing and modifying the value of a tensor. unique is probably the most suitable solution. tensor([[[[1,2], [2,3], [3,4]], [[4,5], [1,2], [3,4]]]]) and I am trying to find the indices of the unique tuples (i. import csv from collections Dec 3, 2020 · Functions So let’s dive deeply and try to learn some reduction operations that pytorch supports on the tensors. Example: Solution Upgrade PyTorch to version 1. I tried two hard operations: relu+torch. May 12, 2019 · Hey everyone, could someone tell me the best way to get the indices of the first occurrences in a tensor along a specific dimension? By occurrence I mean the indices where the tensor is e. This blog post will take you on a journey through the fundamental concepts, usage methods, common practices, and best practices of `torch. unique () can get the one or more 1D or more D tensors of zero or more unique elements, their indices and their counts as shown below: *Memos: unique() can be used with torch or a tensor. ghy6orqkny0bt0ximyztwcfnwckjo02usol5awp4sodwj6h