Source code for webdnn.graph.operators.elementwise_pow

from webdnn.graph.graph import Graph
from webdnn.graph.operators.elementwise import Elementwise
from webdnn.graph.optimize_rule import OptimizeRule
from webdnn.graph.variables.constant_variable import ConstantVariable


[docs]class ElementwisePow(Elementwise): """ElementwisePow(name) Elementwise power Args: name (str): Operator name. Signature .. code:: y, = op(x0, x1) - **x0**, **x1** - Input variable. They must be same shape. - **y** - Output variable. Its order and shape is same as :code:`x0`. This operator also can be called by :code:`**`. .. code:: y = x0 ** x1 """ def fold_constance(self, graph: Graph): x0 = self.inputs["x0"] # type: ConstantVariable x1 = self.inputs["x1"] # type: ConstantVariable y = self.outputs["y"] self.remove_all() y_new = ConstantVariable(x0.data, x0.order).change_order(y.order) y_new.data = y_new.data ** ConstantVariable(x1.data, x1.order).change_order(y.order).data OptimizeRule.replace_variable(graph, y, y_new)