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package tensor
import (
"fmt"
)
// Data shows how the shape of the *Dense actually affects the return value of .Data().
func ExampleDense_Data() {
T := New(WithShape(2, 2), WithBacking([]float64{1, 2, 3, 4}))
fmt.Printf("Basics:\n======\nAny kind of arrays: %v\n", T.Data())
fmt.Printf("\nScalar-like\n===========\n")
T = New(WithShape(), FromScalar(3.14))
fmt.Printf("WithShape(), FromScalar: %v\n", T.Data())
T = New(WithShape(), WithBacking([]float64{3.14}))
fmt.Printf("WithShape(), With a slice of 1 as backing: %v\n", T.Data())
T = New(WithShape(1), FromScalar(3.14))
fmt.Printf("WithShape(1), With an initial scalar: %v\n", T.Data())
T = New(WithShape(1, 1), WithBacking([]float64{3.14}))
fmt.Printf("WithShape(1, 1), With an initial scalar: %v\n", T.Data())
T = New(WithShape(1, 1), FromScalar(3.14))
fmt.Printf("WithShape(1, 1), With an initial scalar: %v\n", T.Data())
T.Reshape()
fmt.Printf("After reshaping to (): %v\n", T.Data())
// Output:
// Basics:
// ======
// Any kind of arrays: [1 2 3 4]
//
// Scalar-like
// ===========
// WithShape(), FromScalar: 3.14
// WithShape(), With a slice of 1 as backing: 3.14
// WithShape(1), With an initial scalar: [3.14]
// WithShape(1, 1), With an initial scalar: [3.14]
// WithShape(1, 1), With an initial scalar: [3.14]
// After reshaping to (): 3.14
}
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