Getting Started
Core Concepts
Tensor
Neural Networks
Training
Graph Neural Networks
Vision
Text Processing
Hub

API Reference

Toro

Device
DType
Shape
Tensor
SafeTensors

Toro.NN

Init
Model

Layer

Linear
Embedding
Conv
Dropout
LayerNorm
BatchNorm
GroupNorm
InstanceNorm
Activation
Pooling

Block

Sequential
Func
RNN
KvCache
Attention

Loss
Metrics
Optim
Scheduler
Clip

Toro.GNN

Data

GraphData
Batch

GraphUtils
MessagePassing

Conv

GCNConv
GATConv
SAGEConv
GINConv

GraphNorm
GlobalPool

Toro.Hub

Hub

Toro.Vision

Image
SkiaTransform
Transform

Toro.Text

Tokenizer
Encode

Getting Started
Core Concepts
Tensor
Neural Networks
Training
Graph Neural Networks
Vision
Text Processing
Hub

API Reference

Toro

Device
DType
Shape
Tensor
SafeTensors

Toro.NN

Init
Model

Layer

Linear
Embedding
Conv
Dropout
LayerNorm
BatchNorm
GroupNorm
InstanceNorm
Activation
Pooling

Block

Sequential
Func
RNN
KvCache
Attention

Loss
Metrics
Optim
Scheduler
Clip

Toro.GNN

Data

GraphData
Batch

GraphUtils
MessagePassing

Conv

GCNConv
GATConv
SAGEConv
GINConv

GraphNorm
GlobalPool

Toro.Hub

Hub

Toro.Vision

Image
SkiaTransform
Transform

Toro.Text

Tokenizer
Encode

Linear

Fully connected linear layer.

Record fields

Name	Description
`Bias`
`Weight`

Instance members

Name	Description
`this.forward x`	$y = xW^\top + b$

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Linear
Record fields
Instance members