xref: /aosp_15_r20/external/executorch/backends/xnnpack/operators/op_prelu.py (revision 523fa7a60841cd1ecfb9cc4201f1ca8b03ed023a) 
1# Copyright (c) Meta Platforms, Inc. and affiliates.
2# All rights reserved.
3#
4# This source code is licensed under the BSD-style license found in the
5# LICENSE file in the root directory of this source tree.
6
7from typing import Dict
8
9import torch
10
11from executorch.backends.xnnpack.operators.node_visitor import (
12    NodeVisitor,
13    register_node_visitor,
14)
15from executorch.backends.xnnpack.serialization.xnnpack_graph_schema import (
16    XNNGraph,
17    XNNPReLU,
18    XNode,
19)
20
21from executorch.backends.xnnpack.utils.utils import get_input_node
22
23
24@register_node_visitor
25class PReLUVisitor(NodeVisitor):
26    target = "aten.prelu.default"
27
28    def __init__(self, *args) -> None:
29        super().__init__(*args)
30
31    def define_node(
32        self,
33        node: torch.fx.Node,
34        xnn_graph: XNNGraph,
35        vals_to_ids: Dict[torch.fx.Node, int],
36        debug_handle: int,
37    ) -> None:
38        self.define_nodes_tensor_inputs_outputs(node, xnn_graph, vals_to_ids)
39
40        # input
41        input_id = vals_to_ids[get_input_node(node, 0)]
42        weight_id = vals_to_ids[get_input_node(node, 1)]
43
44        # output
45        output_id = vals_to_ids[node]
46
47        ser_node = XNode(
48            xnode_union=XNNPReLU(
49                input1_id=input_id,
50                input2_id=weight_id,
51                output_id=output_id,
52                flags=0,
53            ),
54            debug_handle=debug_handle,
55        )
56        xnn_graph.xnodes.append(ser_node)
57