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Pytorch Where Index. device that is being used alongside a CPU to speed up computation.
device that is being used alongside a CPU to speed up computation. I want to Get all the values which are above any threshold, say 0. where(condition) is identical to torch. index_add_ # Tensor. out will have the same shape as index. Learn what is where () method in PyTorch and how it is helpful in Deep learning tasks. Welcome to PyTorch Tutorials # What’s new in PyTorch tutorials? Using Variable Length Attention in PyTorch DebugMode: Recording Dispatched Operations and Numerical Debugging [Updated] Custom SYCL Operators [Updated] Custom C++ and CUDA Operators Nov 14, 2025 · PyTorch is a popular open-source machine learning library that provides a wide range of tensor operations. argwhere(input) → Tensor # Returns a tensor containing the indices of all non-zero elements of input. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Nov 14, 2025 · It is a powerful tool that can simplify complex tensor operations and enable more efficient code implementation. Tensor # Created On: Dec 23, 2016 | Last Updated On: Jun 27, 2025 A torch. where function returns a new tensor with elements chosen based on a condition, selecting values from one source when the condition is met and from another when it is not. Jun 12, 2020 · Hi guys, I meet a problem that, how to get the index of a element in a Tensor whose value is True? Such as, a Tensor like: False False Fasle Flase True False False False False Then I can get the index of (1,1). 为什么你需要这个镜像 你是不是也经历过这些时刻? 刚装好CUDA,运行 torch. DistributedDataParallel() builds on this functionality to provide synchronous distributed training as a wrapper around any PyTorch model. parallel. Note that input and index do not broadcast against each other. However, you can achieve similar results using tensor==number and then the nonzero() function. tensor() constructor: Oct 11, 2020 · mask = [index for index,value in enumerate(a) if value in b. Our experts and AI copilots help at every step. x镜像部署指南:适合新手的保姆级教程 1. Event as their main way to perform synchronization. size(d) for all dimensions d != dim. Features described in this documentation are classified by release status: Stable (API-Stable): These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation. Initializing and basic operations # A tensor can be constructed from a Python list or sequence using the torch. where`. is_available() 却返回 False; 在服务器上配Jupyter,折腾半天连端口都打不开; 想跑个ResNet训练脚本,结果卡在 pip install pandas 半小时不动; 或者更糟——好不容易搭好环境 Pillow aiohappyeyeballs aiohttp aiosignal annotated-types antlr4 antlr4-python3-runtime anyio arpeggio astor async-timeout attrs blake3 blobfile cachetools caliper-reader cbor2 certifi cffi charset-normalizer click cloudpickle cmake colorama compressed-tensors contourpy cpu cpu-cxx11-abi cpu-pypi-pkg cu100 cu101 cu102 cu110 cu111 cu112 cu113 This library is part of the PyTorch project. Jun 14, 2022 · I have a Tensor of shape NxN which is basically the similarity or inner product of two tensors. nonzero` and `torch. tolist()] This iterates over every element in a, gets their index and values, and if the value is inside b, then gets the index. Jul 15, 2024 · Buy Me a Coffee☕ *Memos: My post explains count_nonzero (). squeeze_… Feb 27, 2025 · In PyTorch, the . Tensor is a multi-dimensional matrix containing elements of a single data type. The class torch. org/whl/torch/ is ambigous (and perhaps we should slap a big warning on the index about it) Common ComfyUI issues, solutions, and how to report bugs effectively PPO-Continuous-Pytorch: A clean and robust Pytorch implementation of PPO on continuous action space. Aug 4, 2025 · 🚀 The feature, motivation and pitch CUDA 13. IntTensor ( [1,3,2,1,4,2]) b= [2,1,6] I want to find index of values in list b, with the result index sorted like output as tensor ( [0, 2, 3, 5]) I know how to do it separately: torch. Obviously for each index i, there’ll be a minimum 1 element (self similarity is 1. There are two types of index-based operations in PyTorch, one is in-place operations and the other is out-of-place operations. where(x in [4, 5, 6], True, False May 1, 2023 · I was tring to index a tensor with specific conditions in a efficient way in pytorch with GPU, instead of naively using loop with CPU. The result I’m looking for is something like: For each index i , get all the values which are closer than 0. From the PyTorch Lightning creators The AI cloud PyTorch developers love Lightning is the AI cloud for developers and AI teams that makes it easy to build and deploy lightning fast models. Features described in this documentation are classified by release status: Stable: These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation.
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