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kvcache: stub out test structs

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This commit is contained in:
Michael Yang 2025-04-03 16:54:46 -07:00 committed by Michael Yang
parent 6747099d71
commit d98bfe7e70
1 changed files with 6 additions and 111 deletions
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117
kvcache/causal_test.go
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@ -5,7 +5,6 @@ import (
"slices"
"testing"
"github.com/ollama/ollama/fs"
"github.com/ollama/ollama/ml"
"github.com/ollama/ollama/model/input"
)
@ -372,14 +371,8 @@ func TestCanResume(t *testing.T) {
}
}
type testBackend struct{}
func (b *testBackend) Config() fs.Config {
panic("not implemented")
}
func (b *testBackend) Get(name string) ml.Tensor {
panic("not implemented")
type testBackend struct {
ml.Backend
}
func (b *testBackend) NewContext() ml.Context {
@ -390,12 +383,10 @@ func (b *testBackend) NewContextSize(int) ml.Context {
return &testContext{}
}
func (b *testBackend) SystemInfo() string {
return "not implemented"
type testContext struct {
ml.Context
}
type testContext struct{}
func (c *testContext) Empty(dtype ml.DType, shape ...int) ml.Tensor {
total := 0
@ -449,6 +440,8 @@ func (c *testContext) MaxGraphNodes() int {
func (c *testContext) Close() {}
type testTensor struct {
ml.Tensor
dtype ml.DType
elementSize int
data []float32
@ -476,10 +469,6 @@ func (t *testTensor) DType() ml.DType {
return t.dtype
}
func (t *testTensor) Bytes() []byte {
panic("not implemented")
}
func (t *testTensor) Floats() []float32 {
out := make([]float32, len(t.data))
copy(out, t.data)
@ -504,64 +493,6 @@ func (t *testTensor) Add(ctx ml.Context, t2 ml.Tensor) ml.Tensor {
return out
}
func (t *testTensor) Mul(ctx ml.Context, t2 ml.Tensor) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Mulmat(ctx ml.Context, t2 ml.Tensor) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) MulmatFullPrec(ctx ml.Context, t2 ml.Tensor) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Softmax(ctx ml.Context) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) LayerNorm(ctx ml.Context, weight, bias ml.Tensor, eps float32) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) RMSNorm(ctx ml.Context, weight ml.Tensor, eps float32) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Scale(ctx ml.Context, s float64) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) AvgPool1D(ctx ml.Context, k, s, p int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) AvgPool2D(ctx ml.Context, k, s int, p float32) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Conv2D(ctx ml.Context, weight ml.Tensor, s0, s1, p0, p1, d0, d1 int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) RoPE(ctx ml.Context, positionIDs, ropeFactors ml.Tensor, dim, ropeType uint32, base, scale float32) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) IM2Col(ctx ml.Context, weight ml.Tensor, s0, s1, p0, p1, d0, d1 int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Cos(ctx ml.Context) ml.Tensor { panic("not implemented") }
func (t *testTensor) Sin(ctx ml.Context) ml.Tensor { panic("not implemented") }
func (t *testTensor) Tanh(ctx ml.Context) ml.Tensor { panic("not implemented") }
func (t *testTensor) GELU(ctx ml.Context) ml.Tensor { panic("not implemented") }
func (t *testTensor) SILU(ctx ml.Context) ml.Tensor { panic("not implemented") }
func (t *testTensor) Reshape(ctx ml.Context, shape ...int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) View(ctx ml.Context, offset int, shape ...int) ml.Tensor {
offset /= t.elementSize
@ -584,43 +515,7 @@ func (t *testTensor) View(ctx ml.Context, offset int, shape ...int) ml.Tensor {
return view
}
func (t *testTensor) Permute(ctx ml.Context, shape ...int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Contiguous(ctx ml.Context) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Set(ctx ml.Context, t2 ml.Tensor, offset int, strides ...int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Pad(ctx ml.Context, shape ...int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Unpad(ctx ml.Context, shape ...int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Stack(ctx ml.Context, dim int, s ...ml.Tensor) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Repeat(ctx ml.Context, dim, n int) ml.Tensor { panic("not implemented") }
func (t *testTensor) Concat(ctx ml.Context, t2 ml.Tensor, dim int) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Rows(ctx ml.Context, t2 ml.Tensor) ml.Tensor {
panic("not implemented")
}
func (t *testTensor) Copy(ctx ml.Context, t2 ml.Tensor) ml.Tensor {
copy(t2.(*testTensor).data, t.data)
return nil
}
func (t *testTensor) Duplicate(ctx ml.Context) ml.Tensor { panic("not implemented") }