Index

A B C D E F G H I L M N O P R S T U V W X Y Z
All Classes and Interfaces|All Packages|Constant Field Values

T

tanh(Tensor) - Method in class io.github.kirstenali.deepj.tensor.cpu.CpuBackend

tanh(Tensor) - Method in class io.github.kirstenali.deepj.tensor.metal.MetalBackend

tanh(Tensor) - Method in interface io.github.kirstenali.deepj.tensor.TensorBackend

Tanh - Class in io.github.kirstenali.deepj.activations

Tanh() - Constructor for class io.github.kirstenali.deepj.activations.Tanh

tanhActivation() - Method in class io.github.kirstenali.deepj.tensor.Tensor

tanhInPlace() - Method in class io.github.kirstenali.deepj.tensor.Tensor

tanhInPlace(Tensor) - Method in class io.github.kirstenali.deepj.tensor.cpu.CpuBackend

tanhInPlace(Tensor) - Method in interface io.github.kirstenali.deepj.tensor.TensorBackend

Tensor - Class in io.github.kirstenali.deepj.tensor

Tensor(double[][]) - Constructor for class io.github.kirstenali.deepj.tensor.Tensor

Tensor(int, int) - Constructor for class io.github.kirstenali.deepj.tensor.Tensor

TensorAdapters - Class in io.github.kirstenali.deepj.tensor

Utilities for converting between Tensor (double[][]) and flat float[] arrays used by GPU runtimes.

TensorBackend - Interface in io.github.kirstenali.deepj.tensor

text() - Method in record class io.github.kirstenali.deepj.chatui.ChatMessage

Returns the value of the text record component.

TextDataset - Class in io.github.kirstenali.deepj.data

Simple in-memory dataset that samples random contiguous chunks from token ids.

TextDataset(int[], int, long) - Constructor for class io.github.kirstenali.deepj.data.TextDataset

TextGenerator - Class in io.github.kirstenali.deepj.models.gpt

Simple autoregressive text generation for GPTModel.

toIntTargets(Tensor) - Static method in class io.github.kirstenali.deepj.loss.CrossEntropyLoss

Converts a [n x 1] Tensor of class indices into an int[].

Tokenizer - Interface in io.github.kirstenali.deepj.tokenizers

tokenKeyToId() - Method in record class io.github.kirstenali.deepj.tokenizers.bpe.BPEModel

Returns the value of the tokenKeyToId record component.

TokenPair - Record Class in io.github.kirstenali.deepj.tokenizers.bpe

TokenPair(int, int) - Constructor for record class io.github.kirstenali.deepj.tokenizers.bpe.TokenPair

Creates an instance of a TokenPair record class.

toString() - Method in record class io.github.kirstenali.deepj.chatui.ChatMessage

Returns a string representation of this record class.

toString() - Method in record class io.github.kirstenali.deepj.data.Batch

Returns a string representation of this record class.

toString() - Method in record class io.github.kirstenali.deepj.models.gpt.GPTConfig

Returns a string representation of this record class.

toString() - Method in record class io.github.kirstenali.deepj.tokenizers.bpe.BPEModel

Returns a string representation of this record class.

toString() - Method in record class io.github.kirstenali.deepj.tokenizers.bpe.BPETokenizer

Returns a string representation of this record class.

toString() - Method in record class io.github.kirstenali.deepj.tokenizers.bpe.TokenPair

Returns a string representation of this record class.

toString() - Method in record class io.github.kirstenali.deepj.training.TrainingResult

Returns a string representation of this record class.

toString() - Method in record class io.github.kirstenali.deepj.transformer.TransformerStack

Returns a string representation of this record class.

train(int, int, int, double, Double) - Method in class io.github.kirstenali.deepj.training.Trainer

Train until maxSteps or until EMA loss goes below targetEmaLoss (if provided).

train(int, int, int, double, Double, int) - Method in class io.github.kirstenali.deepj.training.Trainer

train(int, int, int, double, Double, int, Trainer.StepHook) - Method in class io.github.kirstenali.deepj.training.Trainer

Train until maxSteps or until EMA loss goes below targetEmaLoss (if provided).

train(int, int, int, double, Double, Trainer.StepHook) - Method in class io.github.kirstenali.deepj.training.Trainer

Train until maxSteps or until EMA loss goes below targetEmaLoss (if provided).

train(String, int) - Method in class io.github.kirstenali.deepj.tokenizers.bpe.BPETrainer

Trainable - Interface in io.github.kirstenali.deepj.training

TrainClassicFNN - Class in io.github.kirstenali.deepj.examples

Example: classic MLP training using Linear + activation (via FNN) and the unified Trainer wrapper.

TrainClassicFNN() - Constructor for class io.github.kirstenali.deepj.examples.TrainClassicFNN

trainer(Layer, LossFunction, ParameterOptimizer, Tensor, Tensor, long) - Static method in class io.github.kirstenali.deepj.training.SupervisedTraining

trainer(GPTModel, TextDataset, double) - Static method in class io.github.kirstenali.deepj.training.CausalLMTraining

Trainer - Class in io.github.kirstenali.deepj.training

A small, reusable training loop wrapper.

Trainer(Trainer.StepFunction) - Constructor for class io.github.kirstenali.deepj.training.Trainer

Trainer.StepFunction - Interface in io.github.kirstenali.deepj.training

Trainer.StepHook - Interface in io.github.kirstenali.deepj.training

trainFromFile(Path, int) - Method in class io.github.kirstenali.deepj.tokenizers.bpe.BPETrainer

TrainingResult - Record Class in io.github.kirstenali.deepj.training

TrainingResult(int, double, double) - Constructor for record class io.github.kirstenali.deepj.training.TrainingResult

Creates an instance of a TrainingResult record class.

TrainSmallGPT - Class in io.github.kirstenali.deepj.examples

Example: tiny GPT training on a small text file using byte-level tokens.

TrainSmallGPT() - Constructor for class io.github.kirstenali.deepj.examples.TrainSmallGPT

trainStep(int) - Method in interface io.github.kirstenali.deepj.training.Trainer.StepFunction

Runs one optimization step and returns the average loss for that step.

trainStep(int) - Method in class io.github.kirstenali.deepj.training.Trainer

trainTokenizer(String, int) - Method in class io.github.kirstenali.deepj.tokenizers.bpe.BPETrainer

trainTokenizerFromFile(Path, int) - Method in class io.github.kirstenali.deepj.tokenizers.bpe.BPETrainer

TransformerBlock - Class in io.github.kirstenali.deepj.layers.transformer

Pre-LN Transformer block: x = x + Attn(LN(x)) x = x + MLP(LN(x))

TransformerBlock(int, int, int, Supplier<ActivationFunction>, Random) - Constructor for class io.github.kirstenali.deepj.layers.transformer.TransformerBlock

TransformerBlock(int, int, int, Random) - Constructor for class io.github.kirstenali.deepj.layers.transformer.TransformerBlock

TransformerBuilder - Class in io.github.kirstenali.deepj.transformer

Convenience builder for assembling transformer stacks.

TransformerBuilder() - Constructor for class io.github.kirstenali.deepj.transformer.TransformerBuilder

TransformerStack - Record Class in io.github.kirstenali.deepj.transformer

A simple sequential stack of TransformerBlocks.

TransformerStack(List<TransformerBlock>) - Constructor for record class io.github.kirstenali.deepj.transformer.TransformerStack

Creates an instance of a TransformerStack record class.

transpose() - Method in class io.github.kirstenali.deepj.tensor.Tensor

transpose(Tensor) - Method in class io.github.kirstenali.deepj.tensor.cpu.CpuBackend

transpose(Tensor) - Method in class io.github.kirstenali.deepj.tensor.metal.MetalBackend

transpose(Tensor) - Method in interface io.github.kirstenali.deepj.tensor.TensorBackend

A B C D E F G H I L M N O P R S T U V W X Y Z
All Classes and Interfaces|All Packages|Constant Field Values