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|
package main
import (
"fmt"
"io"
"text/template"
)
const checkNativeiterable = `func checkNativeIterable(t *Dense, dims int, dt Dtype) error {
// checks:
if !t.IsNativelyAccessible() {
return errors.Errorf("Cannot convert *Dense to *mat.Dense. Data is inaccessible")
}
if t.Shape().Dims() != dims {
return errors.Errorf("Cannot convert *Dense to native iterator. Expected number of dimension: %d, T has got %d dimensions (Shape: %v)", dims, t.Dims(), t.Shape())
}
if t.F() || t.RequiresIterator() {
return errors.Errorf("Not yet implemented: native matrix for colmajor or unpacked matrices")
}
if t.Dtype() != dt {
return errors.Errorf("Conversion to native iterable only works on %v. Got %v", dt, t.Dtype())
}
return nil
}
`
const nativeIterRaw = `// Vector{{short .}} converts a *Dense into a []{{asType .}}
// If the *Dense does not represent a vector of the wanted type, it will return
// an error.
func Vector{{short .}}(t *Dense) (retVal []{{asType .}}, err error) {
if err = checkNativeIterable(t, 1, {{reflectKind .}}); err != nil {
return nil, err
}
return t.{{sliceOf .}}, nil
}
// Matrix{{short .}} converts a *Dense into a [][]{{asType .}}
// If the *Dense does not represent a matrix of the wanted type, it
// will return an error.
func Matrix{{short .}}(t *Dense) (retVal [][]{{asType .}}, err error) {
if err = checkNativeIterable(t, 2, {{reflectKind .}}); err != nil {
return nil, err
}
data := t.{{sliceOf .}}
shape := t.Shape()
strides := t.Strides()
rows := shape[0]
cols := shape[1]
rowStride := strides[0]
retVal = make([][]{{asType .}}, rows)
for i := range retVal {
start := i * rowStride
retVal[i] = make([]{{asType .}}, 0)
hdr := (*reflect.SliceHeader)(unsafe.Pointer(&retVal[i]))
hdr.Data = uintptr(unsafe.Pointer(&data[start]))
hdr.Cap = cols
hdr.Len = cols
}
return
}
// Tensor3{{short .}} converts a *Dense into a [][][]{{asType .}}.
// If the *Dense does not represent a 3-tensor of the wanted type, it will return an error.
func Tensor3{{short .}}(t *Dense) (retVal [][][]{{asType .}}, err error) {
if err = checkNativeIterable(t, 3, {{reflectKind .}}); err != nil {
return nil, err
}
data := t.{{sliceOf .}}
shape := t.Shape()
strides := t.Strides()
layers := shape[0]
rows := shape[1]
cols := shape[2]
layerStride := strides[0]
rowStride := strides[1]
retVal = make([][][]{{asType .}}, layers)
for i := range retVal {
retVal[i] = make([][]{{asType .}}, rows)
for j := range retVal[i] {
retVal[i][j] = make([]{{asType .}}, 0)
start := i*layerStride + j*rowStride
hdr := (*reflect.SliceHeader)(unsafe.Pointer(&retVal[i][j]))
hdr.Data = uintptr(unsafe.Pointer(&data[start]))
hdr.Cap = cols
hdr.Len = cols
}
}
return
}
`
const nativeIterTestRaw = `func Test_Vector{{short .}}(t *testing.T) {
assert := assert.New(t)
var T *Dense
{{if isRangeable . -}}
T = New(WithBacking(Range({{reflectKind .}}, 0, 6)), WithShape(6))
{{else -}}
T = New(Of({{reflectKind .}}), WithShape(6))
{{end -}}
it, err := Vector{{short .}}(T)
if err != nil {
t.Fatal(err)
}
assert.Equal(6, len(it))
}
func Test_Matrix{{short .}}(t *testing.T) {
assert := assert.New(t)
var T *Dense
{{if isRangeable . -}}
T = New(WithBacking(Range({{reflectKind .}}, 0, 6)), WithShape(2, 3))
{{else -}}
T = New(Of({{reflectKind .}}), WithShape(2, 3))
{{end -}}
it, err := Matrix{{short .}}(T)
if err != nil {
t.Fatal(err)
}
assert.Equal(2, len(it))
assert.Equal(3, len(it[0]))
}
func Test_Tensor3{{short .}}(t *testing.T) {
assert := assert.New(t)
var T *Dense
{{if isRangeable . -}}
T = New(WithBacking(Range({{reflectKind .}}, 0, 24)), WithShape(2, 3, 4))
{{else -}}
T = New(Of({{reflectKind .}}), WithShape(2, 3, 4))
{{end -}}
it, err := Tensor3{{short .}}(T)
if err != nil {
t.Fatal(err)
}
assert.Equal(2, len(it))
assert.Equal(3, len(it[0]))
assert.Equal(4, len(it[0][0]))
}
`
var (
NativeIter *template.Template
NativeIterTest *template.Template
)
func init() {
NativeIter = template.Must(template.New("NativeIter").Funcs(funcs).Parse(nativeIterRaw))
NativeIterTest = template.Must(template.New("NativeIterTest").Funcs(funcs).Parse(nativeIterTestRaw))
}
func generateNativeIterators(f io.Writer, ak Kinds) {
fmt.Fprintf(f, importUnqualifiedTensor)
fmt.Fprintf(f, "%v\n", checkNativeiterable)
ks := filter(ak.Kinds, isSpecialized)
for _, k := range ks {
fmt.Fprintf(f, "/* Native Iterables for %v */\n\n", k)
NativeIter.Execute(f, k)
fmt.Fprint(f, "\n\n")
}
}
func generateNativeIteratorTests(f io.Writer, ak Kinds) {
fmt.Fprintf(f, importUnqualifiedTensor)
ks := filter(ak.Kinds, isSpecialized)
for _, k := range ks {
NativeIterTest.Execute(f, k)
fmt.Fprint(f, "\n\n")
}
}
|
