xref: /aosp_15_r20/external/executorch/backends/xnnpack/operators/op_add.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
10from executorch.backends.xnnpack._passes.fuse_activation_pass import FuseActivationPass
11from executorch.backends.xnnpack.operators.node_visitor import (
12    NodeVisitor,
13    register_node_visitor,
14)
15from executorch.backends.xnnpack.operators.quant_params import QuantParams
16from executorch.backends.xnnpack.serialization.xnnpack_graph_schema import (
17    XNNAdd,
18    XNNGraph,
19    XNode,
20)
21
22from executorch.backends.xnnpack.utils.utils import get_input_node
23
24
25@register_node_visitor
26class AddVisitor(NodeVisitor):
27    target = "aten.add.Tensor"
28
29    def __init__(self, *args) -> None:
30        super().__init__(*args)
31
32    def define_node(
33        self,
34        node: torch.fx.Node,
35        xnn_graph: XNNGraph,
36        vals_to_ids: Dict[torch.fx.Node, int],
37        debug_handle: int,
38    ) -> None:
39        # input1
40        input1 = get_input_node(node, 0)
41        self.define_tensor(
42            input1,
43            xnn_graph,
44            vals_to_ids,
45            quant_params=QuantParams.from_inputs(input1, self._exported_program),
46        )
47        input1_id = vals_to_ids[input1]
48
49        # input2
50        input2 = get_input_node(node, 1)
51        self.define_tensor(
52            input2,
53            xnn_graph,
54            vals_to_ids,
55            quant_params=QuantParams.from_inputs(input2, self._exported_program),
56        )
57        input2_id = vals_to_ids[input2]
58
59        # output
60        output_min_max = FuseActivationPass.get_fused_activation(node)
61        self.define_tensor(
62            node,
63            xnn_graph,
64            vals_to_ids,
65            quant_params=QuantParams.from_outputs(node),
66        )
67
68        output_id = vals_to_ids[node]
69
70        ser_node = XNode(
71            xnode_union=XNNAdd(
72                input1_id=input1_id, input2_id=input2_id, output_id=output_id, flags=0
73            ),
74            debug_handle=debug_handle,
75            output_min_max=output_min_max,
76        )
77        xnn_graph.xnodes.append(ser_node)
78