addressing comments + cleanup
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5e73f24e16
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@ -1,9 +1,10 @@
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package sample
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import (
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"cmp"
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"errors"
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"math"
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"sort"
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"slices"
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"gonum.org/v1/gonum/floats"
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"gonum.org/v1/gonum/stat/sampleuv"
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@ -20,13 +21,12 @@ func (s Temperature) Sample(logits []float64) ([]float64, error) {
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return nil, errors.New("temperature must be between 0 and 1")
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}
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copiedLogits := append([]float64(nil), logits...)
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// Greedy sampling
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// greedy sampling
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if s == 0 {
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return []float64{floats.Max(copiedLogits)}, nil
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return []float64{floats.Max(logits)}, nil
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}
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floats.Scale(1.0/float64(s), copiedLogits)
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return copiedLogits, nil
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floats.Scale(1.0/float64(s), logits)
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return logits, nil
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}
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type softmax struct{}
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@ -69,8 +69,9 @@ func (k TopK) Sample(logits []float64) ([]float64, error) {
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indices[i] = i
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}
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sort.Slice(indices, func(i, j int) bool {
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return logits[indices[i]] > logits[indices[j]]
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// sort in descending order
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slices.SortFunc(indices, func(i, j int) int {
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return cmp.Compare(logits[j], logits[i])
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})
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for _, idx := range indices[k:] {
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@ -96,8 +97,10 @@ func (p TopP) Sample(logits []float64) ([]float64, error) {
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for i := range indices {
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indices[i] = i
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}
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sort.Slice(indices, func(i, j int) bool {
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return probs[indices[i]] > probs[indices[j]]
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// sort in descending order
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slices.SortFunc(indices, func(i, j int) int {
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return cmp.Compare(probs[j], probs[i])
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})
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cumSum := 0.0
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@ -127,9 +130,9 @@ func (p MinP) Sample(logits []float64) ([]float64, error) {
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copiedProbs := make([]float64, len(probs))
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copy(copiedProbs, probs)
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sort.Slice(copiedProbs, func(i, j int) bool { return copiedProbs[i] > copiedProbs[j] })
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slices.Sort(copiedProbs)
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maxProb := floats.Max(probs)
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maxProb := copiedProbs[len(copiedProbs)-1]
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probThreshold := float64(p) * maxProb
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for i := range probs {
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@ -162,20 +165,23 @@ func (s weighed) Sample(logits []float64) ([]float64, error) {
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return nil, errors.New("no valid tokens found")
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}
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// usually, a softmax is applied to sample from the logits
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// in this case the uv sampler normalizes the logits so that the sum of the weights is 1
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w := sampleuv.NewWeighted(logitsCopy, nil)
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if v, ok := w.Take(); ok {
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// returns the token ID
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return []float64{float64(indices[v])}, nil
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}
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return nil, errors.New("weighed sampler failed")
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}
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func Sample(tokenID []float64, samplers ...Sampler) ([]float64, error) {
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func Sample(logits []float64, samplers ...Sampler) ([]float64, error) {
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var err error
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for _, sampler := range samplers {
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tokenID, err = sampler.Sample(tokenID)
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logits, err = sampler.Sample(logits)
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if err != nil {
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return nil, err
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}
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}
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return tokenID, nil
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return logits, nil
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}
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@ -3,9 +3,14 @@ package sample
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import (
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"fmt"
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"math"
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"math/rand"
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"os"
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"runtime"
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"slices"
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"testing"
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"runtime/trace"
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"gonum.org/v1/gonum/floats"
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)
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@ -14,9 +19,9 @@ func TestTemperature(t *testing.T) {
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if err != nil {
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t.Fatal(err)
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}
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expectedlogits := []float64{-6, -4, -2, 0, 2, 4, 8}
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if !floats.Equal(logits, expectedlogits) {
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t.Fatalf("logits: %v, expectedlogits: %v", logits, expectedlogits)
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want := []float64{-6, -4, -2, 0, 2, 4, 8}
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if !floats.Equal(logits, want) {
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t.Fatalf("got: %v, want: %v", logits, want)
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}
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// Only expect the max value returned
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@ -24,9 +29,9 @@ func TestTemperature(t *testing.T) {
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if err != nil {
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t.Fatal(err)
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}
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expectedlogits = []float64{4}
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if !floats.Equal(logits, expectedlogits) {
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t.Fatalf("logits: %v, expectedlogits: %v", logits, expectedlogits)
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want = []float64{4}
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if !floats.Equal(logits, want) {
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t.Fatalf("got: %v, want: %v", logits, want)
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}
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if _, err := Temperature(-1).Sample([]float64{-3, -2, -1, 0, 1, 2, 4}); err == nil {
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@ -35,7 +40,7 @@ func TestTemperature(t *testing.T) {
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}
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func TestSoftmax(t *testing.T) {
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probs, err := computeSoftmax([]float64{-3, -2, -1, 0, 1, 2, 4})
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probs, err := Softmax().Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
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if err != nil {
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t.Fatal(err)
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}
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@ -66,9 +71,9 @@ func TestTopP(t *testing.T) {
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if err != nil {
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t.Fatal(err)
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}
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expectedLogits := []float64{math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), 2, 4}
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if !floats.Same(logits, expectedLogits) {
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t.Fatalf("logits: %v, expectedlogits: %v", logits, expectedLogits)
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want := []float64{math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), 2, 4}
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if !floats.Same(logits, want) {
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t.Fatalf("got: %v, want: %v", logits, want)
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}
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logits, err = TopP(1.0).Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
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if err == nil {
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@ -85,9 +90,9 @@ func TestMinP(t *testing.T) {
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if err != nil {
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t.Fatal(err)
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}
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expectedLogits := []float64{math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), 3, 4}
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if !floats.Same(logits, expectedLogits) {
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t.Fatalf("logits: %v, expectedlogits: %v", logits, expectedLogits)
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want := []float64{math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), 3, 4}
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if !floats.Same(logits, want) {
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t.Fatalf("got: %v, want: %v", logits, want)
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}
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logits, err = MinP(1.0).Sample([]float64{-3, -2, -1, 0, 1, 2, 3, 4})
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if err == nil {
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@ -104,9 +109,9 @@ func TestWeighed(t *testing.T) {
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if err != nil {
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t.Fatal(err)
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}
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expectedLogits := []float64{1}
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if !floats.Equal(logits, expectedLogits) {
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t.Fatalf("logits: %v, expectedlogits: %v", logits, expectedLogits)
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want := []float64{1}
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if !floats.Equal(logits, want) {
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t.Fatalf("got: %v, want: %v", logits, want)
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}
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logits, err = Weighed().Sample([]float64{math.NaN(), math.NaN(), math.NaN()})
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if err == nil {
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@ -116,36 +121,36 @@ func TestWeighed(t *testing.T) {
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func TestSample(t *testing.T) {
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input := []float64{1, 2, 3, 4}
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expectedOutput := []float64{1, 2, 3, 4}
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want := []float64{1, 2, 3, 4}
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var callOrder []int
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mock1 := &mockSampler{
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id: 1,
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callOrder: &callOrder,
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returnVals: expectedOutput,
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returnVals: want,
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}
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mock2 := &mockSampler{
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id: 2,
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callOrder: &callOrder,
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returnVals: expectedOutput,
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returnVals: want,
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}
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mock3 := &mockSampler{
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id: 3,
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callOrder: &callOrder,
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returnVals: expectedOutput,
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returnVals: want,
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}
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result, err := Sample(input, mock1, mock2, mock3)
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got, err := Sample(input, mock1, mock2, mock3)
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if err != nil {
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t.Fatal(err)
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}
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if !slices.Equal(callOrder, []int{1, 2, 3}) {
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t.Errorf("Expected call order [1,2,3], got %v", callOrder)
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t.Errorf("got %v, want %v", callOrder, []int{1, 2, 3})
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}
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if !floats.Equal(result, expectedOutput) {
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t.Errorf("Expected output %v, got %v", expectedOutput, result)
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if !floats.Equal(got, want) {
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t.Errorf("got %v, want %v", got, want)
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}
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errMock := &mockSampler{
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