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chore(gptoss): cleanup dead code (#12932)
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@@ -32,7 +32,6 @@ func (m *Transformer) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, err
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hiddenStates := m.TokenEmbedding.Forward(ctx, batch.Inputs)
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positions := ctx.Input().FromInts(batch.Positions, len(batch.Positions))
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one := ctx.Input().FromFloats([]float32{1}, 1)
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for i, block := range m.TransformerBlocks {
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m.Cache.SetLayer(i)
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if c, ok := m.Cache.(*kvcache.WrapperCache); ok {
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@@ -45,7 +44,7 @@ func (m *Transformer) Forward(ctx ml.Context, batch input.Batch) (ml.Tensor, err
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outputs = batch.Outputs
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}
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hiddenStates = block.Forward(ctx, hiddenStates, positions, outputs, one, m.Cache, &m.Options)
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hiddenStates = block.Forward(ctx, hiddenStates, positions, outputs, m.Cache, &m.Options)
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}
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hiddenStates = m.OutputNorm.Forward(ctx, hiddenStates, m.eps)
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@@ -90,13 +89,13 @@ type TransformerBlock struct {
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MLP *MLPBlock
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}
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func (d *TransformerBlock) Forward(ctx ml.Context, hiddenStates, positions, outputs, one ml.Tensor, cache kvcache.Cache, opts *Options) ml.Tensor {
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func (d *TransformerBlock) Forward(ctx ml.Context, hiddenStates, positions, outputs ml.Tensor, cache kvcache.Cache, opts *Options) ml.Tensor {
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hiddenStates = d.Attention.Forward(ctx, hiddenStates, positions, cache, opts)
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if outputs != nil {
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hiddenStates = hiddenStates.Rows(ctx, outputs)
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}
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hiddenStates = d.MLP.Forward(ctx, hiddenStates, one, opts)
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hiddenStates = d.MLP.Forward(ctx, hiddenStates, opts)
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return hiddenStates
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}
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@@ -177,7 +176,7 @@ type MLPBlock struct {
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Down *nn.LinearBatch `gguf:"ffn_down_exps"`
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}
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func (mlp *MLPBlock) Forward(ctx ml.Context, hiddenStates, one ml.Tensor, opts *Options) ml.Tensor {
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func (mlp *MLPBlock) Forward(ctx ml.Context, hiddenStates ml.Tensor, opts *Options) ml.Tensor {
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hiddenDim, sequenceLength, batchSize := hiddenStates.Dim(0), hiddenStates.Dim(1), hiddenStates.Dim(2)
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residual := hiddenStates
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