• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1# Copyright (c) Qualcomm Innovation Center, Inc.
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 executorch.backends.qualcomm.python.PyQnnWrapperAdaptor as PyQnnWrapper
10
11import numpy as np
12import torch
13from executorch.backends.qualcomm.utils.constants import QCOM_DATA
14
15from .node_visitor import NodeVisitor, register_node_visitor
16from .qnn_constants import OpSpaceToDepth, QNN_OP_PACKAGE_NAME_QTI_AISW
17
18
19@register_node_visitor
20class SpaceToDepthVisitor(NodeVisitor):
21    target = ["aten.pixel_unshuffle.default"]
22
23    def __init__(self, *args) -> None:
24        super().__init__(*args)
25
26    def define_node(
27        self,
28        node: torch.fx.Node,
29        nodes_to_wrappers: Dict[torch.fx.Node, PyQnnWrapper.TensorWrapper],
30    ) -> PyQnnWrapper.PyQnnOpWrapper:
31        input_node = node.args[0]
32        input_tensor = self.get_tensor(input_node, node)
33        input_tensor_wrapper = self.define_tensor(
34            input_node,
35            input_tensor,
36            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
37            nodes_to_wrappers,
38            is_input_tensor=True,
39        )
40
41        output_tensor = self.get_tensor(node, node)
42        output_tensor_wrapper = self.define_tensor(
43            node,
44            output_tensor,
45            PyQnnWrapper.Qnn_TensorType_t.QNN_TENSOR_TYPE_NATIVE,
46            nodes_to_wrappers,
47            is_input_tensor=False,
48        )
49
50        block_size = []
51        for index in range(1, 3):
52            block_size.append(input_tensor.shape[index] / output_tensor.shape[index])
53        block_size = np.array(block_size, dtype=np.uint32)
54        block_size_shape = [2]
55
56        space_to_depth_op = PyQnnWrapper.PyQnnOpWrapper(
57            node.name,
58            QNN_OP_PACKAGE_NAME_QTI_AISW,
59            OpSpaceToDepth.op_name,
60        )
61        space_to_depth_op.AddInputTensors([input_tensor_wrapper])
62        space_to_depth_op.AddOutputTensors([output_tensor_wrapper])
63        space_to_depth_op.AddTensorParam(
64            OpSpaceToDepth.param_block_size,
65            PyQnnWrapper.Qnn_DataType_t.QNN_DATATYPE_UINT_32,
66            len(block_size.shape),
67            block_size_shape,
68            block_size,
69            True,
70        )
71        space_to_depth_op.AddScalarParam(
72            OpSpaceToDepth.param_mode,
73            PyQnnWrapper.Qnn_DataType_t.QNN_DATATYPE_UINT_32,
74            {QCOM_DATA: np.uint32(OpSpaceToDepth.Mode.CRD)},
75        )
76
77        return space_to_depth_op
78