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batch: use tensors for outputs (#12185)

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this cleans up the model interface slightly without too much impact in
other areas
This commit is contained in:
Michael Yang
2025-09-15 14:33:06 -07:00
committed by GitHub
parent 92b96d54ef
commit 6f7117145f
14 changed files with 27 additions and 37 deletions
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3
model/models/gemma2/model.go
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@@ -176,7 +176,6 @@ func (l *Layer) Forward(ctx ml.Context, hiddenState, positionIDs, outputs ml.Ten
func (m *Model) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, error) {
positions := ctx.Input().FromIntSlice(batch.Positions, len(batch.Positions))
outputs := ctx.Input().FromIntSlice(batch.Outputs, len(batch.Outputs))
hiddenState := m.TokenEmbedding.Forward(ctx, batch.Inputs)
hiddenState = hiddenState.Scale(ctx, math.Sqrt(float64(m.Options.hiddenSize)))
@@ -193,7 +192,7 @@ func (m *Model) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, error) {
var lastLayerOutputs ml.Tensor
if i == len(m.Layers)-1 {
lastLayerOutputs = outputs
lastLayerOutputs = batch.Outputs
}
hiddenState = layer.Forward(ctx, hiddenState, positions, lastLayerOutputs, m.Cache, m.Options)