Function _Scale

express/NeuralNetWorkOp.cpp:416–425

    return (Variable::create(Expr::create(reshape.get(), {x, shape})));
}
VARP _Scale(VARP x, int channels, std::vector<float>&& scales, std::vector<float>&& bias) {
    std::unique_ptr<OpT> scale(new OpT);
    scale->type                      = OpType_Scale;
    scale->main.type                 = OpParameter_Scale;
    scale->main.value                = new ScaleT;
    scale->main.AsScale()->channels  = channels;
    scale->main.AsScale()->scaleData = std::move(scales);
    scale->main.AsScale()->biasData  = std::move(bias);
    return (Variable::create(Expr::create(std::move(scale), {x})));
}
/*Given an input value x, it computes the output as x if x > 0 and slope * x if x <= 0.
Args:
x: A variable.