⏾ Concept Map

PyTorch ○˒ Entries

↩ 🔵 🔵 🔵

Primary

၊၊||၊|။

PyTorch ○˒｜Definition｜1st｜20251119205401-00-⌔

PyTorch - Wikipedia

PyTorch

📊 ➺ 🖼️ ➺

PyTorch is an open-source deep learning library, originally developed by Meta Platforms and currently developed with support from the Linux Foundation. The successor to Torch, PyTorch provides a high-level API that builds upon optimised, low-level implementations of deep learning algorithms and architectures, such as the Transformer, or SGD. Notably, this API simplifies model training and inference to a few lines of code. PyTorch allows for automatic parallelization of training and, internally, implements CUDA bindings that speed training further by leveraging GPU resources.

PyTorch utilises the tensor as a fundamental data type, similarly to NumPy. Training is facilitated by a reversed automatic differentiation system, Autograd, that constructs a directed acyclic graph of the operations (and their arguments) executed by a model during its forward pass. With a loss, backpropagation is then undertaken.1

As of 2025, PyTorch remains one of the most popular deep learning libraries, alongside others such as TensorFlow and Keras.2 It can be installed using Anaconda package managers.3 A number of commercial deep learning systems are built on top of PyTorch, including ChatGPT,4 Tesla Autopilot,5 Uber’s Pyro,6 and Hugging Face’s Transformers.78

Printed 2026-06-28.

(echo:: @ ᯤ)

Footnotes

  1. “Autograd Mechanics”. PyTorch Documentation. Retrieved 13 November 2025. ↩

  2. “Top 30 Open Source Projects”. github.com. Retrieved 13 November 2025. ↩

  3. Mukherjee, Amartya; Dey, Nilanjan (30 May 2019). Smart Computing with Open Source Platforms. CRC Press. p. 229. ISBN 978-1-351-12032-6. ↩

  4. “OpenAI standardizes on PyTorch”. 30 January 2020. Retrieved 8 January 2026. ↩

  5. Karpathy, Andrej (6 November 2019). “PyTorch at Tesla - Andrej Karpathy, Tesla”. YouTube. Archived from the original on 24 March 2023. Retrieved 2 June 2020. ↩

  6. “Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language”. Uber Engineering Blog. 3 November 2017. Archived from the original on 25 December 2017. Retrieved 18 December 2017. ↩

  7. PYTORCH-TRANSFORMERS: PyTorch implementations of popular NLP Transformers, PyTorch Hub, 1 December 2019, archived from the original on 11 June 2023, retrieved 1 December 2019 ↩

  8. “Ecosystem Tools”. pytorch.org. Archived from the original on 18 July 2023. Retrieved 18 June 2020. ↩

Link to original

Secondary

• • •