| Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 1 | # Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved. |
| 2 | # |
| 3 | # SPDX-License-Identifier: Apache-2.0 |
| 4 | # |
| 5 | # Licensed under the Apache License, Version 2.0 (the License); you may |
| 6 | # not use this file except in compliance with the License. |
| 7 | # You may obtain a copy of the License at |
| 8 | # |
| 9 | # www.apache.org/licenses/LICENSE-2.0 |
| 10 | # |
| 11 | # Unless required by applicable law or agreed to in writing, software |
| 12 | # distributed under the License is distributed on an AS IS BASIS, WITHOUT |
| 13 | # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | # See the License for the specific language governing permissions and |
| 15 | # limitations under the License. |
| Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 16 | # Description: |
| 17 | # Functions for abstracting out the traversal and rewriting of graphs so that the optimisation passes can focus on the |
| 18 | # correct operation. |
| 19 | # |
| 20 | # Requires two lists, one of functions that rewrite Tensors, and one of functions that rewrite Operations. |
| 21 | # |
| 22 | # Pre-order traversal, this supports rewrites. Therefore, functions can return something other than the original value. |
| 23 | # |
| 24 | # Post-order traversal, this does not support rewrites. Therefore, functions must return the original value. |
| 25 | |
| 26 | |
| 27 | def rewrite_graph_pre_order(sg, arch, tensor_rewrite_list, op_rewrite_list, rewrite_unsupported=True): |
| 28 | |
| 29 | op_visit_dict = dict() |
| 30 | tens_visit_dict = dict() |
| 31 | |
| 32 | def visit_op(op): |
| 33 | if op in op_visit_dict: |
| 34 | return op_visit_dict[op] |
| 35 | res = op |
| 36 | prev_res = None |
| 37 | while prev_res != res: |
| 38 | prev_res = res |
| 39 | for rewrite in op_rewrite_list: |
| 40 | if res.run_on_npu or rewrite_unsupported: |
| 41 | res = rewrite(res, arch) |
| 42 | |
| 43 | op_visit_dict[op] = res |
| 44 | op_visit_dict[res] = res |
| 45 | |
| 46 | inputs = res.inputs |
| 47 | res.inputs = [] |
| 48 | for tens in inputs: |
| 49 | res.inputs.append(visit_tens(tens)) |
| 50 | |
| 51 | outputs = res.outputs |
| 52 | res.outputs = [] |
| 53 | for tens in outputs: |
| 54 | res.outputs.append(visit_tens(tens)) |
| 55 | |
| 56 | return res |
| 57 | |
| 58 | def visit_tens(tens): |
| 59 | if tens in tens_visit_dict: |
| 60 | return tens_visit_dict[tens] |
| 61 | |
| 62 | res = tens |
| 63 | prev_res = None |
| 64 | while prev_res != res: |
| 65 | prev_res = res |
| 66 | for rewrite in tensor_rewrite_list: |
| 67 | res = rewrite(res, arch) |
| 68 | |
| 69 | tens_visit_dict[tens] = res |
| 70 | tens_visit_dict[res] = res |
| 71 | |
| 72 | ops = res.ops |
| 73 | res.ops = [] |
| 74 | for op in ops: |
| 75 | res.ops.append(visit_op(op)) |
| 76 | return res |
| 77 | |
| 78 | sg.output_tensors = [visit_tens(tens) for tens in sg.output_tensors] |
| 79 | sg.refresh_after_modification() |
| 80 | |
| 81 | return sg |
| 82 | |
| 83 | |
| 84 | def visit_graph_post_order(sg, arch, tensor_visit_list, op_visit_list): |
| 85 | |
| 86 | op_visit_dict = dict() |
| 87 | tens_visit_dict = dict() |
| 88 | |
| 89 | def visit_op(op): |
| 90 | if op in op_visit_dict: |
| 91 | return op_visit_dict[op] |
| 92 | op_visit_dict[op] = op |
| 93 | |
| 94 | for tens in op.inputs: |
| 95 | visit_tens(tens) |
| 96 | |
| 97 | for visit in op_visit_list: |
| 98 | visit(op, arch) |
| 99 | |
| 100 | for tens in op.outputs: |
| 101 | visit_tens(tens) |
| 102 | |
| 103 | return op |
| 104 | |
| 105 | def visit_tens(tens): |
| 106 | if tens in tens_visit_dict: |
| 107 | return tens_visit_dict[tens] |
| 108 | |
| 109 | tens_visit_dict[tens] = tens |
| 110 | |
| 111 | for op in tens.ops: |
| 112 | visit_op(op) |
| 113 | |
| 114 | for visit in tensor_visit_list: |
| 115 | visit(tens, arch) |
| 116 | |
| 117 | return tens |
| 118 | |
| 119 | for tens in sg.output_tensors: |
| 120 | visit_tens(tens) |
| 121 | |
| 122 | sg.refresh_after_modification() |
| 123 | |
| 124 | return sg |
| 125 | |
| 126 | |
| 127 | def verify_graph_health(nng): |
| 128 | |
| 129 | for sg in nng.subgraphs: |
| 130 | verify_subgraph_health(sg) |
| 131 | |
| 132 | return True |
| 133 | |
| 134 | |
| 135 | def verify_subgraph_health(sg): |
| 136 | op_visit_dict = dict() |
| 137 | tens_visit_dict = dict() |
| 138 | |
| 139 | def visit_op(op): |
| 140 | if op in op_visit_dict: |
| 141 | return op_visit_dict[op] |
| 142 | op_visit_dict[op] = op |
| 143 | |
| 144 | for tens in op.inputs: |
| 145 | assert op in tens.consumers() |
| 146 | visit_tens(tens) |
| 147 | |
| 148 | for tens in op.outputs: |
| 149 | assert op in tens.ops |
| 150 | visit_tens(tens) |
| 151 | |
| 152 | return op |
| 153 | |
| 154 | def visit_tens(tens): |
| 155 | if tens in tens_visit_dict: |
| 156 | return tens_visit_dict[tens] |
| 157 | |
| 158 | tens_visit_dict[tens] = tens |
| 159 | |
| 160 | for op in tens.ops: |
| 161 | assert tens in op.outputs |
| 162 | visit_op(op) |
| 163 | |
| 164 | return tens |
| 165 | |
| 166 | for tens in sg.output_tensors: |
| 167 | visit_tens(tens) |
| 168 | |
| 169 | return True |