Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:developed_by |
gptkb:Facebook_AI_Research
|
| gptkbp:first_released |
September 2016
|
| gptkbp:has_community |
Open-source community
|
| gptkbp:has_documentation |
Official documentation
|
| gptkbp:has_feature |
Quantization
GPU acceleration Multi-GPU support Hyperparameter tuning Visualization tools Pre-trained models Support for cloud computing Support for image processing Support for natural language processing Support for time series analysis Support for reinforcement learning Support for transfer learning Support for edge computing Loss functions Mixed precision training Optimizers Support for scientific computing Support for audio processing Support for graph neural networks Support for video processing Tensor Board integration Data loading utilities Support for multi-task learning Model checkpointing ONNX support Custom neural network layers Gradient clipping Mobile deployment Support for Bayesian methods Support for CN Ns Support for GA Ns Support for RN Ns Support for attention mechanisms Support for variational inference |
| https://www.w3.org/2000/01/rdf-schema#label |
Py Torch Framework
|
| gptkbp:is_compatible_with |
gptkb:Sci_Py
gptkb:computer gptkb:Num_Py |
| gptkbp:is_used_by |
gptkb:physicist
gptkb:software Data scientists |
| gptkbp:language |
gptkb:Library
|
| gptkbp:library |
gptkb:Torch_Audio
gptkb:Py_Torch_Lightning gptkb:Torch_Script gptkb:Torch_Vision gptkb:Torch_Text |
| gptkbp:provides |
Dynamic computation graph
|
| gptkbp:supports |
Distributed training
Model deployment Automatic differentiation Tensor computation |
| gptkbp:tutorials |
Online tutorials
|
| gptkbp:used_in |
gptkb:Deep_Learning
|
| gptkbp:bfsParent |
gptkb:Distributed_Data_Parallel
|
| gptkbp:bfsLayer |
5
|