PyTorch

E17843
Python library deep learning framework machine learning library open-source software

PyTorch is an open-source deep learning framework widely used for building and training neural networks, known for its dynamic computation graph and strong support for research and production in Python.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (12)

Label Occurrences
PyTorch canonical 36
TorchScript 3
PyTorch ecosystem 2

Statements (59)

Predicate Object
instanceOf Python library ⓘ
deep learning framework ⓘ
machine learning library ⓘ
open-source software ⓘ
developer Meta AI ⓘ
Meta Platforms, Inc. ⓘ
surface form: Meta Platforms
hasComponent torch.autograd ⓘ
PyTorch self-linksurface differs ⓘ
surface form: torch.distributed

torch.jit ⓘ
PyTorch self-linksurface differs ⓘ
surface form: torch.nn

torch.optim ⓘ
PyTorch self-linksurface differs ⓘ
surface form: torch.utils.data

PyTorch self-linksurface differs ⓘ
surface form: torchaudio (ecosystem)

torchtext (ecosystem) ⓘ
torchvision (ecosystem) ⓘ
hasFeature CUDA support ⓘ
GPU acceleration ⓘ
JIT compiler ⓘ
ONNX export ⓘ
PyTorch self-linksurface differs ⓘ
surface form: TorchScript

autograd engine ⓘ
automatic differentiation ⓘ
data parallelism ⓘ
distributed training ⓘ
dynamic computation graph ⓘ
eager execution ⓘ
mixed precision training ⓘ
mobile deployment support ⓘ
model parallelism ⓘ
multi-GPU training ⓘ
quantization support ⓘ
tensor computation ⓘ
knownFor Pythonic interface ⓘ
dynamic neural network definition ⓘ
flexibility for research ⓘ
license BSD license ⓘ
surface form: BSD 3-Clause License
programmingLanguage C++ ⓘ
Python ⓘ
supports inference in production ⓘ
model deployment ⓘ
neural network training ⓘ
supportsHardware CPUs ⓘ
NVIDIA CUDA ⓘ
surface form: NVIDIA GPUs

TPUs (via XLA integrations) ⓘ
supportsLanguage C++ ⓘ
Java (via extensions) ⓘ
Python ⓘ
R (via extensions) ⓘ
targetUser data scientists ⓘ
machine learning engineers ⓘ
researchers ⓘ
useCase computer vision ⓘ
generative models ⓘ
natural language processing ⓘ
recommendation systems ⓘ
reinforcement learning ⓘ
speech recognition ⓘ
time series modeling ⓘ
website https://pytorch.org/ ⓘ

Referenced by (50)

Full triples — surface form annotated when it differs from this entity's canonical label.

Python → machineLearningLibrary → PyTorch ⓘ
OpenAI Gym → compatibleWith → PyTorch ⓘ
NumPy → influenced → PyTorch ⓘ
PyTorch → hasFeature → PyTorch self-linksurface differs ⓘ
this entity surface form: TorchScript
PyTorch → hasComponent → PyTorch self-linksurface differs ⓘ
this entity surface form: torch.nn
PyTorch → hasComponent → PyTorch self-linksurface differs ⓘ
this entity surface form: torch.distributed
PyTorch → hasComponent → PyTorch self-linksurface differs ⓘ
this entity surface form: torch.utils.data
PyTorch → hasComponent → PyTorch self-linksurface differs ⓘ
this entity surface form: torchaudio (ecosystem)
NVIDIA DGX → supports → PyTorch ⓘ
VGG → implementedIn → PyTorch ⓘ
ResNet → implementationAvailableIn → PyTorch ⓘ
Swift for TensorFlow → relatedTo → PyTorch ⓘ
TPU → supportsFramework → PyTorch ⓘ
this entity surface form: PyTorch (via XLA or specialized backends)
Vertex AI → supports → PyTorch ⓘ
torchvision (ecosystem) → framework → PyTorch ⓘ
subject surface form: torchvision
torchvision (ecosystem) → supports → PyTorch ⓘ
subject surface form: torchvision
this entity surface form: TorchScript
torchvision (ecosystem) → partOf → PyTorch ⓘ
subject surface form: torchvision
this entity surface form: PyTorch ecosystem
torchtext (ecosystem) → compatibleWith → PyTorch ⓘ
subject surface form: torchtext
torchtext (ecosystem) → partOf → PyTorch ⓘ
subject surface form: torchtext
this entity surface form: PyTorch ecosystem
torchtext (ecosystem) → maintainedBy → PyTorch ⓘ
subject surface form: torchtext
this entity surface form: PyTorch team
TPUs (via XLA integrations) → supportsFramework → PyTorch ⓘ
TPUs (via XLA integrations) → supportsFramework → PyTorch ⓘ
this entity surface form: PyTorch/XLA
Hugging Face Transformers → compatibleWith → PyTorch ⓘ
Theano → influenced → PyTorch ⓘ
RLlib → supportsFramework → PyTorch ⓘ
Gymnasium → compatibleWith → PyTorch ⓘ
Python scientific stack → hasComponent → PyTorch ⓘ
Transformer → implementedIn → PyTorch ⓘ
RMSProp → implementedIn → PyTorch ⓘ
Proximal Policy Optimization → oftenImplementedIn → PyTorch ⓘ
Gaudi → compatibleWith → PyTorch ⓘ
Goya inference processor → compatibleWith → PyTorch ⓘ
Adam optimizer → implementedIn → PyTorch ⓘ
Adam: A Method for Stochastic Optimization → usedIn → PyTorch ⓘ
Layer Normalization → frameworkSupport → PyTorch ⓘ
Azure Machine Learning → supports → PyTorch ⓘ
WaveGlow → framework → PyTorch ⓘ
cuDNN → usedBy → PyTorch ⓘ
NCCL → usedBy → PyTorch ⓘ
this entity surface form: PyTorch distributed
Tensor Cores → usedByFramework → PyTorch ⓘ
NVIDIA Triton Inference Server → supportsFramework → PyTorch ⓘ
NVIDIA Triton Inference Server → supportsFormat → PyTorch ⓘ
this entity surface form: TorchScript
Deep Convolutional GAN → implementedIn → PyTorch ⓘ
CycleGAN → implementedIn → PyTorch ⓘ
Amazon SageMaker → supportsFramework → PyTorch ⓘ
Instinct → supportsEcosystem → PyTorch ⓘ
subject surface form: AMD Instinct
this entity surface form: PyTorch (via ROCm)
AllenNLP → basedOn → PyTorch ⓘ
AllenNLP → requires → PyTorch ⓘ
AllenNLP research → uses → PyTorch ⓘ
ResNeXt → implementedIn → PyTorch ⓘ