torch.Tensor — PyTorch 2.9 documentation
torch.Tensor# Created On: Dec 23, 2016 | Last Updated On: Jun 27, 2025 A torch.Tensor is a multi-dimensional matrix containing elements of a single data type. Please see torch.dtype for more details about dtype support. Initializing and basic operations# A tensor can be constructed from a Python list or sequence using the torch.tensor() constructor: >>> torch.tensor([[1., -1.], [1., -1.]]) tensor(
PyTorch for Deep Learning: A Quick Guide for Starters
In 2019, the war for ML frameworks has two main contenders: PyTorch and TensorFlow. There is a growing adoption of PyTorch by researchers and students due to ease of use, while in industry, Tensorflow is currently still the platform of choice. Some of the key advantages of PyTorch are: Simplicity: It is very pythonic and integrates easily with the rest of the Python ecosystem. It is easy to learn,
Welcome to PyTorch Tutorials — PyTorch Tutorials 1.0.0.dev20180918 documentation
Welcome to PyTorch Tutorials# What’s new in PyTorch tutorials? Integrating Custom Operators with SYCL for Intel GPU Supporting Custom C++ Classes in torch.compile/torch.export Accelerating torch.save and torch.load with GPUDirect Storage Getting Started with Fully Sharded Data Parallel (FSDP2) Learn the Basics Familiarize yourself with PyTorch concepts and modules. Learn how to load data, build de
PyTorchでディープラーニング | moskomule log
PyTorchとは PyTorchはFacebookの開発するPython上でのテンソル計算・自動微分ライブラリで，特にディープラーニングに必要な機能が充実しています．2017年の初頭に公開され，瞬く間にTensorflow, Keras, Caffeに続くディープラーニングライブラリとして人気を博すこととなりました． Bonus: stars (not an indicator of usage, just proportional to how many people have landed on the GitHub page over the period). pic.twitter.com/IugHJqHSii — François Chollet (@fchollet) April 12, 2017 PyTorchはPreferred Networkのディープラーニングライブラ
GitHub - longcw/yolo2-pytorch: YOLOv2 in PyTorch
NOTE: This project is no longer maintained and may not compatible with the newest pytorch (after 0.4.0). This is a PyTorch implementation of YOLOv2. This project is mainly based on darkflow and darknet. I used a Cython extension for postprocessing and multiprocessing.Pool for image preprocessing. Testing an image in VOC2007 costs about 13~20ms. For details about YOLO and YOLOv2 please refer to the
PyTorch
October 22, 2025 in Announcements, Blog PyTorch Foundation Welcomes Ray to Deliver a Unified Open Source AI Compute Stack Ray joins leading open source AI projects including PyTorch and vLLM to minimize AI computing complexity and speed production The PyTorch Foundation has welcomed Ray as its newest foundation-hosted project.…
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GitHub - yunjey/pytorch-tutorial: PyTorch Tutorial for Deep Learning Researchers
pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration