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| 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 | + |
| 7 | +from typing import Dict, List |
| 8 | + |
| 9 | +import torch |
| 10 | +from executorch.backends.qualcomm.serialization.qc_schema import ( |
| 11 | + QnnExecuTorchOpPackageInfo, |
| 12 | +) |
| 13 | + |
| 14 | +from .node_visitor import NodeVisitor |
| 15 | +from .op_custom_op import CustomOp |
| 16 | +from .utils import is_graph_input, is_graph_output |
| 17 | + |
| 18 | + |
| 19 | +# This will hold mapping of all node names to the visitor class |
| 20 | +_node_visitor_dict = {} |
| 21 | + |
| 22 | + |
| 23 | +def register_node_visitor(visitor): |
| 24 | + """Register node visitor into _node_visitor_dict""" |
| 25 | + assert ( |
| 26 | + isinstance(visitor, type) |
| 27 | + and issubclass(visitor, NodeVisitor) |
| 28 | + and hasattr(visitor, "target") |
| 29 | + ), f"Informed NodeVisitor subclass, can't register!, got: {visitor}" |
| 30 | + for target in visitor.target: |
| 31 | + _node_visitor_dict[target] = visitor |
| 32 | + |
| 33 | + |
| 34 | +def generate_node_to_external_map( |
| 35 | + edge_program: torch.export.ExportedProgram, |
| 36 | +) -> Dict[torch.fx.Node, int]: |
| 37 | + node_to_external_map = {} |
| 38 | + for node in edge_program.graph_module.graph.nodes: |
| 39 | + # The order in which we visit the placeholder node is same as the *args |
| 40 | + # order for the forward(*args) signature for this gm. Using the order of |
| 41 | + # the nodes as external_id to extract the right arg from *args at runtime |
| 42 | + if is_graph_input(node, edge_program): |
| 43 | + node_to_external_map[node] = len(node_to_external_map) |
| 44 | + for node in edge_program.graph_module.graph.nodes: |
| 45 | + if is_graph_output(node): |
| 46 | + node_to_external_map[node] = len(node_to_external_map) |
| 47 | + return node_to_external_map |
| 48 | + |
| 49 | + |
| 50 | +def get_node_visitors( |
| 51 | + edge_program: torch.export.ExportedProgram, |
| 52 | + enable_tensor_dump=False, |
| 53 | + op_package_infos: List[QnnExecuTorchOpPackageInfo] = None, |
| 54 | +) -> Dict[str, NodeVisitor]: |
| 55 | + """Create a new class instance at runtime, and put them in a dict""" |
| 56 | + node_to_external_map = generate_node_to_external_map(edge_program) |
| 57 | + node_visitors = {} |
| 58 | + for target, visitor in _node_visitor_dict.items(): |
| 59 | + assert callable( |
| 60 | + visitor |
| 61 | + ), f"Expecting a callable class, but got {visitor} of type {type(visitor)}" |
| 62 | + node_visitors[target] = visitor( |
| 63 | + node_to_external_map, edge_program, enable_tensor_dump |
| 64 | + ) |
| 65 | + if op_package_infos: |
| 66 | + custom_ops = [] |
| 67 | + for op_package_info in op_package_infos: |
| 68 | + if op_package_info.custom_op_name not in custom_ops: |
| 69 | + custom_op_builder = CustomOp( |
| 70 | + op_package_info, |
| 71 | + node_to_external_map, |
| 72 | + edge_program, |
| 73 | + enable_tensor_dump, |
| 74 | + ) |
| 75 | + node_visitors[op_package_info.custom_op_name] = custom_op_builder |
| 76 | + custom_ops.append(op_package_info.custom_op_name) |
| 77 | + return node_visitors |
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