mat/gradfn/reversesubscalar.go
// Copyright 2019 spaGO Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gradfn
import (
"fmt"
"github.com/nlpodyssey/spago/mat"
)
// ReverseSubScalar is the element-wise subtraction function over two values.
type ReverseSubScalar[O mat.Tensor] struct {
x1 O
x2 O // scalar
}
// NewReverseSubScalar returns a new ReverseSubScalar Function.
func NewReverseSubScalar[O mat.Tensor](x1 O, x2 O) *ReverseSubScalar[O] {
return &ReverseSubScalar[O]{
x1: x1,
x2: x2,
}
}
// Operands returns the list of operands.
func (r *ReverseSubScalar[O]) Operands() []mat.Tensor {
return []mat.Tensor{r.x1, r.x2}
}
// Forward computes the output of the function.
func (r *ReverseSubScalar[O]) Forward() (mat.Tensor, error) {
x1 := r.x1.Value()
x2 := r.x2.Value()
return x1.(mat.Matrix).ProdScalar(-1).AddScalarInPlace(x2.Item().F64()), nil
}
// Backward computes the backward pass.
func (r *ReverseSubScalar[O]) Backward(gy mat.Tensor) error {
if !mat.SameDims(r.x1.Value(), gy) {
return fmt.Errorf("fn: matrices have incompatible dimensions")
}
if r.x1.RequiresGrad() {
gx := gy.(mat.Matrix).ProdScalar(-1)
r.x1.AccGrad(gx)
}
if r.x2.RequiresGrad() {
gx := gy.(mat.Matrix).Sum()
r.x2.AccGrad(gx)
}
return nil
}