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* WIP - MLX backend with gemma3 * MLX: add cmake and go tag build toggles To build the new MLX backend code: cmake --preset MLX cmake --build --preset MLX --parallel cmake --install build --component MLX go build -tags mlx . Note: the main.go entrypoint for the MLX engine will change in a follow up commit. * add experimental image generation runtime * add experimental image generation runtime * MLX: wire up cuda build for linux * MLX: get dependencies correct and dedup This is still too large for a unified github artifact, but is now "correct" for the mlx_cuda_v13 directory. * fix relative link bug in dedup * Add darwin build and readme * add go build tag for mlx dependent code and wire up build_darwin.sh * lint cleanup * macos: build mlx for x86 This will be CPU only. * cuda build instructions and fix drift from mlx bump * stale comment * Delete agent helper doc * Clean up readme.md * Revise README for tokenizer clarity and details Updated README to clarify tokenizer functionality and removed correctness section. --------- Co-authored-by: jmorganca <jmorganca@gmail.com>
157 lines
4.5 KiB
Go
157 lines
4.5 KiB
Go
//go:build mlx
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package cache
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import "github.com/ollama/ollama/x/imagegen/mlx"
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type Cache interface {
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Update(k, v *mlx.Array, seqLen int) (*mlx.Array, *mlx.Array)
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Offset() int
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Len() int
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State() []*mlx.Array
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}
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type KVCache struct {
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keys, values *mlx.Array
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offset int
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step int
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}
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func NewKVCache() *KVCache {
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return &KVCache{step: 256}
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}
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func (c *KVCache) Update(k, v *mlx.Array, seqLen int) (*mlx.Array, *mlx.Array) {
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prev := c.offset
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shape := k.Shape()
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B, H, Dk := shape[0], shape[1], shape[3]
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Dv := v.Shape()[3]
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// Grow buffer if needed
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if c.keys == nil || (prev+seqLen) > int(c.keys.Shape()[2]) {
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nSteps := (c.step + seqLen - 1) / c.step
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newK := mlx.Zeros([]int32{B, H, int32(nSteps * c.step), Dk}, k.Dtype())
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newV := mlx.Zeros([]int32{B, H, int32(nSteps * c.step), Dv}, v.Dtype())
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if c.keys != nil {
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if prev%c.step != 0 {
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c.keys = mlx.Slice(c.keys, []int32{0, 0, 0, 0}, []int32{B, H, int32(prev), Dk})
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c.values = mlx.Slice(c.values, []int32{0, 0, 0, 0}, []int32{B, H, int32(prev), Dv})
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}
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c.keys = mlx.Concatenate([]*mlx.Array{c.keys, newK}, 2)
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c.values = mlx.Concatenate([]*mlx.Array{c.values, newV}, 2)
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} else {
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c.keys, c.values = newK, newV
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}
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}
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c.offset += seqLen
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c.keys = mlx.SliceUpdateInplace(c.keys, k, []int32{0, 0, int32(prev), 0}, []int32{B, H, int32(c.offset), Dk})
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c.values = mlx.SliceUpdateInplace(c.values, v, []int32{0, 0, int32(prev), 0}, []int32{B, H, int32(c.offset), Dv})
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return mlx.Slice(c.keys, []int32{0, 0, 0, 0}, []int32{B, H, int32(c.offset), Dk}),
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mlx.Slice(c.values, []int32{0, 0, 0, 0}, []int32{B, H, int32(c.offset), Dv})
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}
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func (c *KVCache) State() []*mlx.Array {
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if c.keys == nil {
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return nil
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}
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return []*mlx.Array{c.keys, c.values}
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}
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func (c *KVCache) Offset() int { return c.offset }
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func (c *KVCache) Len() int { return c.offset }
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// RotatingKVCache implements sliding window attention with bounded memory
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type RotatingKVCache struct {
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keys, values *mlx.Array
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offset int
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maxSize int
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step int
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idx int
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}
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func NewRotatingKVCache(maxSize int) *RotatingKVCache {
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return &RotatingKVCache{maxSize: maxSize, step: 256}
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}
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func (c *RotatingKVCache) Update(k, v *mlx.Array, seqLen int) (*mlx.Array, *mlx.Array) {
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if seqLen > 1 {
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return c.updateConcat(k, v, seqLen)
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}
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return c.updateInPlace(k, v)
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}
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func (c *RotatingKVCache) updateInPlace(k, v *mlx.Array) (*mlx.Array, *mlx.Array) {
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shape := k.Shape()
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B, H, Dk := shape[0], shape[1], shape[3]
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Dv := v.Shape()[3]
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// Grow buffer if not yet at max
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if c.keys == nil || (c.idx >= int(c.keys.Shape()[2]) && int(c.keys.Shape()[2]) < c.maxSize) {
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var cap int
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if c.keys != nil {
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cap = int(c.keys.Shape()[2])
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}
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newSize := min(c.step, c.maxSize-cap)
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newK := mlx.Zeros([]int32{B, H, int32(newSize), Dk}, k.Dtype())
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newV := mlx.Zeros([]int32{B, H, int32(newSize), Dv}, v.Dtype())
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if c.keys != nil {
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c.keys = mlx.Concatenate([]*mlx.Array{c.keys, newK}, 2)
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c.values = mlx.Concatenate([]*mlx.Array{c.values, newV}, 2)
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} else {
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c.keys, c.values = newK, newV
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}
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}
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// Rotate when hitting max
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if c.idx >= c.maxSize {
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c.idx = 0
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}
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c.keys = mlx.SliceUpdateInplace(c.keys, k, []int32{0, 0, int32(c.idx), 0}, []int32{B, H, int32(c.idx + 1), Dk})
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c.values = mlx.SliceUpdateInplace(c.values, v, []int32{0, 0, int32(c.idx), 0}, []int32{B, H, int32(c.idx + 1), Dv})
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c.offset++
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c.idx++
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validLen := int32(min(c.offset, c.maxSize))
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return mlx.Slice(c.keys, []int32{0, 0, 0, 0}, []int32{B, H, validLen, Dk}),
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mlx.Slice(c.values, []int32{0, 0, 0, 0}, []int32{B, H, validLen, Dv})
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}
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func (c *RotatingKVCache) updateConcat(k, v *mlx.Array, seqLen int) (*mlx.Array, *mlx.Array) {
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shape := k.Shape()
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B, H, Dk := shape[0], shape[1], shape[3]
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Dv := v.Shape()[3]
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if c.keys == nil {
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c.keys, c.values = k, v
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} else {
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c.keys = mlx.Concatenate([]*mlx.Array{c.keys, k}, 2)
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c.values = mlx.Concatenate([]*mlx.Array{c.values, v}, 2)
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}
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c.offset += seqLen
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// Trim to max_size to maintain sliding window
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cap := int(c.keys.Shape()[2])
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if trim := cap - c.maxSize; trim > 0 {
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c.keys = mlx.Slice(c.keys, []int32{0, 0, int32(trim), 0}, []int32{B, H, int32(cap), Dk})
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c.values = mlx.Slice(c.values, []int32{0, 0, int32(trim), 0}, []int32{B, H, int32(cap), Dv})
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}
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c.idx = int(c.keys.Shape()[2])
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return c.keys, c.values
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}
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func (c *RotatingKVCache) State() []*mlx.Array {
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if c.keys == nil {
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return nil
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}
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return []*mlx.Array{c.keys, c.values}
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}
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func (c *RotatingKVCache) Offset() int { return c.offset }
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func (c *RotatingKVCache) Len() int { return min(c.offset, c.maxSize) }
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