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Multiply.go
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package layer
import tf "github.com/galeone/tensorflow/tensorflow/go"
type LMultiply struct {
dtype DataType
inputs []Layer
name string
shape tf.Shape
trainable bool
layerWeights []*tf.Tensor
}
func Multiply() *LMultiply {
return &LMultiply{
dtype: Float32,
name: UniqueName("multiply"),
trainable: true,
}
}
func (l *LMultiply) SetDtype(dtype DataType) *LMultiply {
l.dtype = dtype
return l
}
func (l *LMultiply) SetName(name string) *LMultiply {
l.name = name
return l
}
func (l *LMultiply) SetShape(shape tf.Shape) *LMultiply {
l.shape = shape
return l
}
func (l *LMultiply) SetTrainable(trainable bool) *LMultiply {
l.trainable = trainable
return l
}
func (l *LMultiply) SetLayerWeights(layerWeights []*tf.Tensor) *LMultiply {
l.layerWeights = layerWeights
return l
}
func (l *LMultiply) GetShape() tf.Shape {
return l.shape
}
func (l *LMultiply) GetDtype() DataType {
return l.dtype
}
func (l *LMultiply) SetInputs(inputs ...Layer) Layer {
l.inputs = inputs
return l
}
func (l *LMultiply) GetInputs() []Layer {
return l.inputs
}
func (l *LMultiply) GetName() string {
return l.name
}
func (l *LMultiply) GetLayerWeights() []*tf.Tensor {
return l.layerWeights
}
type jsonConfigLMultiply struct {
ClassName string `json:"class_name"`
Name string `json:"name"`
Config map[string]interface{} `json:"config"`
InboundNodes [][][]interface{} `json:"inbound_nodes"`
}
func (l *LMultiply) GetKerasLayerConfig() interface{} {
inboundNodes := [][][]interface{}{
{},
}
for _, input := range l.inputs {
inboundNodes[0] = append(inboundNodes[0], []interface{}{
input.GetName(),
0,
0,
map[string]bool{},
})
}
return jsonConfigLMultiply{
ClassName: "Multiply",
Name: l.name,
Config: map[string]interface{}{
"dtype": l.dtype.String(),
"name": l.name,
"trainable": l.trainable,
},
InboundNodes: inboundNodes,
}
}
func (l *LMultiply) GetCustomLayerDefinition() string {
return ``
}