Improved sampler interface

This commit is contained in:
ParthSareen
2025-02-03 16:04:32 -08:00
parent d5f8670f0a
commit cc2e44b885
3 changed files with 120 additions and 97 deletions

View File

@@ -10,7 +10,7 @@ import (
)
func TestTemperature(t *testing.T) {
logits, err := Temperature(0.5).Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
logits, err := Temperature(0.5).Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err != nil {
t.Fatal(err)
}
@@ -19,16 +19,16 @@ func TestTemperature(t *testing.T) {
t.Fatalf("got: %v, want: %v", logits, want)
}
if _, err := Temperature(-1).Sample([]float64{-3, -2, -1, 0, 1, 2, 4}); err == nil {
if _, err := Temperature(-1).Apply([]float64{-3, -2, -1, 0, 1, 2, 4}); err == nil {
t.Fatalf("expected error for temperature=-1, got %v", logits)
}
if _, err := Temperature(2.1).Sample([]float64{-3, -2, -1, 0, 1, 2, 4}); err == nil {
if _, err := Temperature(2.1).Apply([]float64{-3, -2, -1, 0, 1, 2, 4}); err == nil {
t.Fatalf("expected error for temperature=2.1, got %v", logits)
}
}
func TestSoftmax(t *testing.T) {
probs, err := Softmax().Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
probs, err := Softmax().Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err != nil {
t.Fatal(err)
}
@@ -40,95 +40,101 @@ func TestSoftmax(t *testing.T) {
}
func TestTopK(t *testing.T) {
logits, err := TopK(3).Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
logits, err := TopK(3).Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err != nil {
t.Fatal(err)
}
expectedlogits := []float64{math.NaN(), math.NaN(), math.NaN(), math.NaN(), 1, 2, 4}
expectedlogits := []float64{math.Inf(-1), math.Inf(-1), math.Inf(-1), math.Inf(-1), 1, 2, 4}
if !floats.Same(logits, expectedlogits) {
t.Fatalf("logits: %v, expectedlogits: %v", logits, expectedlogits)
}
logits, err = TopK(0).Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
logits, err = TopK(0).Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err == nil {
t.Fatalf("expected error for k=0, got %v", logits)
}
logits, err = TopK(10).Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err != nil {
t.Fatal(err)
}
expectedlogits = []float64{-3, -2, -1, 0, 1, 2, 4}
if !floats.Same(logits, expectedlogits) {
t.Fatalf("logits: %v, expectedlogits: %v", logits, expectedlogits)
}
}
func TestTopP(t *testing.T) {
logits, err := TopP(0.9).Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
logits, err := TopP(0.9).Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err != nil {
t.Fatal(err)
}
want := []float64{math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), 2, 4}
want := []float64{math.Inf(-1), math.Inf(-1), math.Inf(-1), math.Inf(-1), math.Inf(-1), 2, 4}
if !floats.Same(logits, want) {
t.Fatalf("got: %v, want: %v", logits, want)
}
logits, err = TopP(1.0).Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
logits, err = TopP(1.0).Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err == nil {
t.Fatalf("expected error for p=1.0, got %v", logits)
}
logits, err = TopP(0.0).Sample([]float64{-3, -2, -1, 0, 1, 2, 4})
logits, err = TopP(0.0).Apply([]float64{-3, -2, -1, 0, 1, 2, 4})
if err == nil {
t.Fatalf("expected error for p=0.0, got %v", logits)
}
}
func TestMinP(t *testing.T) {
logits, err := MinP(0.2).Sample([]float64{-3, -2, -1, 0, 1, 2, 3, 4})
logits, err := MinP(0.2).Apply([]float64{-3, -2, -1, 0, 1, 2, 3, 4})
if err != nil {
t.Fatal(err)
}
want := []float64{math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), math.NaN(), 3, 4}
want := []float64{math.Inf(-1), math.Inf(-1), math.Inf(-1), math.Inf(-1), math.Inf(-1), math.Inf(-1), 3, 4}
if !floats.Same(logits, want) {
t.Fatalf("got: %v, want: %v", logits, want)
}
logits, err = MinP(1.0).Sample([]float64{-3, -2, -1, 0, 1, 2, 3, 4})
logits, err = MinP(1.0).Apply([]float64{-3, -2, -1, 0, 1, 2, 3, 4})
if err == nil {
t.Fatalf("expected error for p=1.0, got %v", logits)
}
logits, err = MinP(0.0).Sample([]float64{-3, -2, -1, 0, 1, 2, 3, 4})
logits, err = MinP(0.0).Apply([]float64{-3, -2, -1, 0, 1, 2, 3, 4})
if err == nil {
t.Fatalf("expected error for p=0.0, got %v", logits)
}
}
func TestWeighed(t *testing.T) {
logits, err := Weighed().Sample([]float64{math.NaN(), 2, math.NaN(), math.NaN()})
idx, err := Weighed().Sample([]float64{math.Inf(-1), 2, math.Inf(-1), math.Inf(-1)})
if err != nil {
t.Fatal(err)
}
want := []float64{1}
if !floats.Equal(logits, want) {
t.Fatalf("got: %v, want: %v", logits, want)
want := 1
if idx != want {
t.Fatalf("got: %v, want: %v", idx, want)
}
logits, err = Weighed().Sample([]float64{math.NaN(), math.NaN(), math.NaN()})
idx, err = Weighed().Sample([]float64{math.Inf(-1), math.Inf(-1), math.Inf(-1)})
if err == nil {
t.Fatalf("expected error for no valid tokens, got %v", logits)
t.Fatalf("expected error for no valid tokens, got %v", idx)
}
}
func TestSample(t *testing.T) {
input := []float64{1, 2, 3, 4}
want := []float64{1, 2, 3, 4}
input := []float32{1, 2, 3, 4}
var callOrder []int
mock1 := &testSampler{
id: 1,
callOrder: &callOrder,
returnVals: want,
mock1 := &testTransform{
id: 1,
callOrder: &callOrder,
}
mock2 := &testSampler{
id: 2,
callOrder: &callOrder,
returnVals: want,
mock2 := &testTransform{
id: 2,
callOrder: &callOrder,
}
mock3 := &testSampler{
id: 3,
callOrder: &callOrder,
returnVals: want,
mock3 := &testTransform{
id: 3,
callOrder: &callOrder,
}
sampler := NewSampler([]Transform{mock1, mock2, mock3}, Greedy())
got, err := Sample(input, mock1, mock2, mock3)
got, err := sampler.Sample(input)
if err != nil {
t.Fatal(err)
}
@@ -137,43 +143,45 @@ func TestSample(t *testing.T) {
t.Errorf("got %v, want %v", callOrder, []int{1, 2, 3})
}
if !floats.Equal(got, want) {
want := 3 // Greedy sampler should pick highest logit
if got != want {
t.Errorf("got %v, want %v", got, want)
}
errMock := &testSampler{
errMock := &testTransform{
returnErr: fmt.Errorf("mock error"),
}
_, err = Sample(input, mock1, errMock, mock2)
sampler = NewSampler([]Transform{mock1, errMock, mock2}, Greedy())
_, err = sampler.Sample(input)
if err == nil {
t.Error("Expected error from sampler")
}
}
type testSampler struct {
id int
callOrder *[]int
returnVals []float64
returnErr error
type testTransform struct {
id int
callOrder *[]int
returnErr error
}
func (ts *testSampler) Sample(logits []float64) ([]float64, error) {
func (ts *testTransform) Apply(logits []float64) ([]float64, error) {
if ts.callOrder != nil {
*ts.callOrder = append(*ts.callOrder, ts.id)
}
if ts.returnErr != nil {
return nil, ts.returnErr
}
return ts.returnVals, nil
return logits, nil
}
func TestSampleTemperatureZero(t *testing.T) {
logits, err := Sample([]float64{1, 2, 3, 4}, Temperature(0))
sampler := NewSampler([]Transform{Temperature(0)}, Greedy())
got, err := sampler.Sample([]float32{1, 2, 3, 4})
if err != nil {
t.Fatal(err)
}
want := []float64{3}
if !floats.Equal(logits, want) {
t.Fatalf("got: %v, want: %v", logits, want)
want := 3 // Greedy sampler should pick highest logit index
if got != want {
t.Fatalf("got: %v, want: %v", got, want)
}
}