new runner

cache/tensor.go

@@ -0,0 +1,47 @@
+package cache
+
+import (
+	"github.com/ollama/ollama/ml"
+)
+
+type TensorCache struct {
+	curLayer int
+
+	cacheCtx     ml.Context
+	keys, values []ml.Tensor
+}
+
+func NewTensorCache(backend ml.Backend) *TensorCache {
+	return &TensorCache{
+		cacheCtx: backend.NewContext(),
+	}
+}
+
+func (c *TensorCache) Close() {
+	c.cacheCtx.Close()
+}
+
+func (c *TensorCache) Sub(i int) *TensorCache {
+	if i >= len(c.keys) {
+		c.keys = append(c.keys, make([]ml.Tensor, i-len(c.keys)+1)...)
+		c.values = append(c.values, make([]ml.Tensor, i-len(c.values)+1)...)
+	}
+
+	c.curLayer = i
+
+	return c
+}
+
+func (c *TensorCache) Get(ctx ml.Context) (ml.Tensor, ml.Tensor, ml.Tensor) {
+	return c.keys[c.curLayer], c.values[c.curLayer], nil
+}
+
+func (c *TensorCache) Put(ctx ml.Context, key, value ml.Tensor) {
+	if c.keys[c.curLayer] == nil || c.values[c.curLayer] == nil {
+		c.keys[c.curLayer] = c.cacheCtx.Zeros(key.DType(), key.Shape()...)
+		c.values[c.curLayer] = c.cacheCtx.Zeros(value.DType(), value.Shape()...)
+	}
+
+	ctx.Forward(key.Copy(ctx, c.keys[c.curLayer]))
+	ctx.Forward(value.Copy(ctx, c.values[c.curLayer]))
+}