def _MaxPoolGradGradV2(op, grad): ksize = op.inputs[3] strides = op.inputs[4] return (array_ops.zeros_like(op.inputs[0]), array_ops.zeros_like(op.inputs[1]), gen_nn_ops.max_pool_grad_grad_v2( op.inputs[0], op.inputs[1], grad, ksize, strides, padding=op.get_attr("padding"), data_format=op.get_attr("data_format")), None, None)
def _MaxPoolGradGradV2(op, grad): ksize = op.inputs[3] strides = op.inputs[4] return (array_ops.zeros( shape=array_ops.shape(op.inputs[0]), dtype=op.inputs[0].dtype), array_ops.zeros( shape=array_ops.shape(op.inputs[1]), dtype=op.inputs[1].dtype), gen_nn_ops.max_pool_grad_grad_v2( op.inputs[0], op.inputs[1], grad, ksize, strides, padding=op.get_attr("padding"), data_format=op.get_attr("data_format")), None, None)