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L

lastLoss() - Method in record class io.github.kirstenali.deepj.training.TrainingResult
Returns the value of the lastLoss record component.
Layer - Interface in io.github.kirstenali.deepj.layers
Differentiable module mapping Tensor -> Tensor.
LayerNorm1D - Class in io.github.kirstenali.deepj.layers.transformer
LayerNorm over feature dimension (cols) with trainable gamma/beta exposed as Parameters.
LayerNorm1D(int) - Constructor for class io.github.kirstenali.deepj.layers.transformer.LayerNorm1D
 
layerNormBackward(Tensor, Tensor, Tensor, int) - Method in class io.github.kirstenali.deepj.tensor.cpu.CpuBackend
 
layerNormBackward(Tensor, Tensor, Tensor, int) - Method in class io.github.kirstenali.deepj.tensor.metal.MetalBackend
 
layerNormBackward(Tensor, Tensor, Tensor, int) - Static method in class io.github.kirstenali.deepj.tensor.Tensor
 
layerNormBackward(Tensor, Tensor, Tensor, int) - Method in interface io.github.kirstenali.deepj.tensor.TensorBackend
LayerNorm backward through normalization (given dXHat, xHat, std).
left() - Method in record class io.github.kirstenali.deepj.tokenizers.bpe.TokenPair
Returns the value of the left record component.
Linear - Class in io.github.kirstenali.deepj.layers
Fully-connected layer: y = xW + b x: [n x dIn], W: [dIn x dOut], b: [1 x dOut]
Linear(int, int, Random) - Constructor for class io.github.kirstenali.deepj.layers.Linear
 
load(Path) - Method in interface io.github.kirstenali.deepj.persistence.Persistable
 
load(List<Parameter>, Path) - Static method in class io.github.kirstenali.deepj.persistence.ModelSerializer
 
loadModel(Path) - Method in interface io.github.kirstenali.deepj.chatui.ChatService
 
loadModel(Path) - Method in class io.github.kirstenali.deepj.chatui.GPTChatService
 
log() - Method in class io.github.kirstenali.deepj.tensor.Tensor
 
log(Tensor) - Method in class io.github.kirstenali.deepj.tensor.cpu.CpuBackend
 
log(Tensor) - Method in class io.github.kirstenali.deepj.tensor.metal.MetalBackend
 
log(Tensor) - Method in interface io.github.kirstenali.deepj.tensor.TensorBackend
 
logInPlace() - Method in class io.github.kirstenali.deepj.tensor.Tensor
 
logInPlace(Tensor) - Method in class io.github.kirstenali.deepj.tensor.cpu.CpuBackend
 
logInPlace(Tensor) - Method in interface io.github.kirstenali.deepj.tensor.TensorBackend
 
loss(Tensor, int[]) - Static method in class io.github.kirstenali.deepj.loss.CrossEntropyLoss
Convenience helper: compute loss from logits and int targets.
loss(Tensor, Tensor) - Method in class io.github.kirstenali.deepj.loss.CrossEntropyLoss
 
loss(Tensor, Tensor) - Method in interface io.github.kirstenali.deepj.loss.LossFunction
 
loss(Tensor, Tensor) - Method in class io.github.kirstenali.deepj.loss.MSELoss
 
LossFunction - Interface in io.github.kirstenali.deepj.loss
 
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