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 | # Build a live range graph for tensors in one or more subgraphs. Used for tensor allocation as well as in the scheduler. |
| 18 | # Can work with either a pass packed subgraph or a scheduled subgraph. |
Tim Hall | ffe8e28 | 2021-06-24 18:29:53 +0100 | [diff] [blame] | 19 | from collections import namedtuple |
Louis Verhaard | 226ecaf | 2021-03-30 10:18:28 +0200 | [diff] [blame] | 20 | from typing import List |
| 21 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 22 | import numpy as np |
| 23 | |
Louis Verhaard | aee5d75 | 2020-09-30 09:01:52 +0200 | [diff] [blame] | 24 | from .operation import Op |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 25 | from .tensor import MemArea |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 26 | from .tensor import MemType |
Diego Russo | e8a1045 | 2020-04-21 17:39:10 +0100 | [diff] [blame] | 27 | from .tensor import Tensor |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 28 | from .tensor import TensorPurpose |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 29 | |
| 30 | |
| 31 | class LiveRange: |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 32 | def __init__(self, tens, alignment): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 33 | self.tensors = [] # Tensors that are assigned to the same LiveRange will be allocated to the same address |
| 34 | self.start_time = 99999999999 |
| 35 | self.end_time = -1 |
| 36 | self.size = 0 |
| 37 | self.name = "" |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 38 | self.alignment = alignment |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 39 | self.mem_area = tens.mem_area if tens else MemArea.Unknown |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 40 | |
| 41 | if tens: |
| 42 | self.add_tensor(tens) |
| 43 | |
| 44 | def __str__(self): |
| 45 | return "<live_range.LiveRange: '%s' start_time=%s, end_time=%s>" % (self.name, self.start_time, self.end_time) |
| 46 | |
| 47 | __repr__ = __str__ |
| 48 | |
| 49 | def add_tensor(self, tens): |
| 50 | if self.size == 0: |
| 51 | self.size = tens.storage_size() |
| 52 | self.name = tens.name # LiveRange will be named after the first tensor added |
| 53 | else: |
| 54 | assert ( |
| 55 | self.size >= tens.storage_size() |
| 56 | ), "Tensors assigned to the same LiveRange need to fit the size of the LiveRange." |
| 57 | |
| 58 | self.tensors.append(tens) |
| 59 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 60 | def mark_usage(self, op_time, op_length=1): |
| 61 | op_time_start = max(op_time, 0) |
| 62 | op_time_end = op_time + op_length |
| 63 | if op_time_end <= op_time_start: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 64 | return |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 65 | |
| 66 | self.start_time = min(self.start_time, op_time_start) |
| 67 | self.end_time = max(self.end_time, op_time_end) |
| 68 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 69 | def set_buffer_size(self, buffer_size): |
| 70 | self.size = buffer_size |
| 71 | self.mem_area = MemArea.Sram |
| 72 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 73 | def overlaps_ranges(self, other): |
| 74 | return max(self.start_time, other.start_time) < min(self.end_time, other.end_time) |
| 75 | |
| 76 | def overlaps_address(self, other): |
| 77 | # Returns the first pair of tensors in this LiveRange and 'other' which have |
| 78 | # overlapping addresses |
| 79 | for tens in self.tensors: |
| 80 | for other_tens in other.tensors: |
| 81 | if max(tens.address, other_tens.address) < min( |
| 82 | tens.address + self.size, other_tens.address + other.size |
| 83 | ): |
| 84 | return True, tens, other_tens |
| 85 | |
| 86 | return False, None, None |
| 87 | |
| 88 | def __lt__(self, other): |
| 89 | if self.start_time != other.start_time: |
| 90 | return self.start_time < other.start_time |
| 91 | if self.end_time != other.end_time: |
| 92 | return self.end_time < other.end_time |
| 93 | if self.size != other.size: |
| 94 | return self.size < other.size |
| 95 | return self.name < other.name |
| 96 | |
| 97 | def set_address(self, address): |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 98 | # Set address of all tensors in LiveRange |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 99 | for tens in self.tensors: |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 100 | tens.address = address |
| 101 | |
| 102 | return address |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 103 | |
| 104 | def get_alignment(self): |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 105 | return self.alignment |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 106 | |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 107 | def set_alignment(self, alignment): |
| 108 | self.alignment = max(self.alignment, alignment) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 109 | |
| 110 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 111 | class LiveRangeGraph: |
| 112 | def __init__(self): |
Louis Verhaard | 226ecaf | 2021-03-30 10:18:28 +0200 | [diff] [blame] | 113 | self.lrs: List[LiveRange] = [] # List of all created ranges |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 114 | self.ranges = {} # tens -> range |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 115 | self.processed_subgraphs = set() |
| 116 | self.current_time = 0 |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 117 | self.end_time = None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 118 | |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 119 | def get_or_create_range(self, tens, alignment=Tensor.AllocationQuantum): |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 120 | # Return the live range of the tensor (or any of its clones) |
| 121 | for existing_tensor, rng in self.ranges.items(): |
| 122 | if tens.equivalent(existing_tensor): |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 123 | rng.set_alignment(alignment) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 124 | return rng |
| 125 | |
| 126 | # No live range found for the tensor, create a new one |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 127 | rng = LiveRange(tens, alignment) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 128 | self.ranges[tens] = rng |
Louis Verhaard | 226ecaf | 2021-03-30 10:18:28 +0200 | [diff] [blame] | 129 | self.lrs.append(rng) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 130 | return rng |
| 131 | |
| 132 | def fuse_ranges(self, in_tens, out_tens): |
| 133 | live_range = self.get_or_create_range(in_tens) |
| 134 | assert out_tens not in self.ranges, out_tens |
| 135 | live_range.add_tensor(out_tens) |
| 136 | self.ranges[out_tens] = live_range |
| 137 | return live_range |
| 138 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 139 | def update_endtime(self): |
Louis Verhaard | cc34d5d | 2021-08-19 15:15:36 +0200 | [diff] [blame] | 140 | self.end_time = self.current_time |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 141 | return self.end_time + 1 |
| 142 | |
| 143 | def get_temporal_memory_usage(self, target_mem_area): |
Louis Verhaard | cc34d5d | 2021-08-19 15:15:36 +0200 | [diff] [blame] | 144 | usage = np.zeros(self.update_endtime(), dtype=np.int32) |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 145 | for rng in self.ranges.values(): |
| 146 | if rng.mem_area == target_mem_area: |
| 147 | # End time is inclusive |
| 148 | usage[rng.start_time : rng.end_time + 1] += rng.size |
| 149 | |
| 150 | return usage |
| 151 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 152 | |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 153 | def tensor_should_be_ignored(tens, target_mem_area, target_mem_type_set): |
Patrik Gustavsson | a151f59 | 2020-10-16 13:59:52 +0200 | [diff] [blame] | 154 | if tens.mem_area != target_mem_area or tens.mem_type not in target_mem_type_set: |
| 155 | return True |
Patrik Gustavsson | a151f59 | 2020-10-16 13:59:52 +0200 | [diff] [blame] | 156 | return False |
| 157 | |
| 158 | |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 159 | def merge_elementwise_op_ranges(sg, sched_op, lr_graph, target_mem_area, target_mem_type_set): |
Tim Hall | ffe8e28 | 2021-06-24 18:29:53 +0100 | [diff] [blame] | 160 | def _tensor_should_be_ignored(tens): |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 161 | if tens in sg.input_tensors + sg.output_tensors: |
| 162 | return True |
| 163 | return tensor_should_be_ignored(tens, target_mem_area, target_mem_type_set) |
Tim Hall | ffe8e28 | 2021-06-24 18:29:53 +0100 | [diff] [blame] | 164 | |
Jacob Bohlin | 98bfecd | 2021-06-21 17:22:20 +0200 | [diff] [blame] | 165 | # Tries to merge ifm/ofm live ranges of elementwise op |
| 166 | if sched_op.op_type.is_elementwise_op(): |
| 167 | elem_op = sched_op.parent_op |
Tim Hall | ffe8e28 | 2021-06-24 18:29:53 +0100 | [diff] [blame] | 168 | if not _tensor_should_be_ignored(elem_op.ofm): |
Jacob Bohlin | 98bfecd | 2021-06-21 17:22:20 +0200 | [diff] [blame] | 169 | # Check if overwriting the inputs can be allowed |
Tim Hall | ffe8e28 | 2021-06-24 18:29:53 +0100 | [diff] [blame] | 170 | OpShapeTens = namedtuple("OpShapeTens", ["op_shape", "tens"]) |
| 171 | outp = OpShapeTens(elem_op.ofm_shapes[0], elem_op.ofm) |
| 172 | inps = [] |
| 173 | if elem_op.ifm is not None: |
| 174 | inps.append(OpShapeTens(elem_op.ifm_shapes[0], elem_op.ifm)) |
| 175 | if elem_op.ifm2 is not None: |
| 176 | inps.append(OpShapeTens(elem_op.ifm_shapes[1], elem_op.ifm2)) |
Patrik Gustavsson | a151f59 | 2020-10-16 13:59:52 +0200 | [diff] [blame] | 177 | |
Tim Hall | ffe8e28 | 2021-06-24 18:29:53 +0100 | [diff] [blame] | 178 | # find an input tensor that can be overwritten by the output |
| 179 | for inp in inps: |
| 180 | if ( |
| 181 | # check op input and output shapes allow overlapping |
| 182 | inp.op_shape == outp.op_shape |
| 183 | # check input tensor is valid |
| 184 | and inp.tens is not None |
| 185 | and inp.tens.shape != [] |
| 186 | and not _tensor_should_be_ignored(inp.tens) |
| 187 | # check input and output tensors are compatible |
| 188 | and inp.tens.format == outp.tens.format |
| 189 | and inp.tens.dtype == outp.tens.dtype |
| 190 | # check input tensor only has one consumer |
| 191 | and len(inp.tens.consumer_list) == 1 |
| 192 | # check output tensor only has one producer |
| 193 | and len(outp.tens.ops) == 1 |
| 194 | ): |
| 195 | lr_graph.fuse_ranges(inp.tens, outp.tens) |
| 196 | break |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 197 | |
| 198 | |
| 199 | def extract_live_ranges_from_cascaded_passes( |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 200 | sg, target_mem_area, target_mem_type_set, lr_graph=None, cpu_tensor_alignment=Tensor.AllocationQuantum, |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 201 | ): |
Diego Russo | ea6111a | 2020-04-14 18:41:58 +0100 | [diff] [blame] | 202 | if lr_graph is None: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 203 | lr_graph = LiveRangeGraph() |
| 204 | |
| 205 | if sg in lr_graph.processed_subgraphs: |
| 206 | # if subgraph has been processed already, return the lr_graph as is |
| 207 | return lr_graph |
| 208 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 209 | for cps in sg.cascaded_passes: |
| 210 | cps.time = lr_graph.current_time |
| 211 | |
| 212 | time_for_pass = cps.time |
| 213 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 214 | for tens in cps.inputs: |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 215 | if tensor_should_be_ignored(tens, target_mem_area, target_mem_type_set): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 216 | continue |
Tim Hall | b9b515c | 2020-11-01 21:27:19 +0000 | [diff] [blame] | 217 | rng = lr_graph.get_or_create_range(tens, cpu_tensor_alignment) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 218 | rng.mark_usage(time_for_pass) |
| 219 | |
| 220 | cps_primary_op = cps.passes[0].primary_op |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 221 | |
Louis Verhaard | aee5d75 | 2020-09-30 09:01:52 +0200 | [diff] [blame] | 222 | if ( |
| 223 | cps_primary_op |
| 224 | and cps_primary_op.type == Op.CustomNpuOp |
| 225 | and MemType.Permanent_CPU not in target_mem_type_set |
| 226 | ): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 227 | # If the primary-op is an NpuOp that means this is where an Npu subgraph |
| 228 | # is called. Go into said subgraph and extract live ranges before continuing. |
Jacob Bohlin | 0628a8c | 2020-08-28 13:25:14 +0200 | [diff] [blame] | 229 | # Use default allocation alignment of 16 for Npu tensors |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 230 | npu_sg = cps_primary_op.attrs["subgraph"] |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 231 | lr_graph = _extract_live_ranges_from_schedule(npu_sg, target_mem_area, target_mem_type_set, lr_graph) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 232 | # Set the new time after handling the Npu subgraph |
| 233 | time_for_pass = lr_graph.current_time |
| 234 | cps.time = time_for_pass |
| 235 | |
Patrik Gustavsson | a151f59 | 2020-10-16 13:59:52 +0200 | [diff] [blame] | 236 | for tens in cps.intermediates + cps.outputs: |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 237 | if tensor_should_be_ignored(tens, target_mem_area, target_mem_type_set): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 238 | continue |
Tim Hall | b9b515c | 2020-11-01 21:27:19 +0000 | [diff] [blame] | 239 | rng = lr_graph.get_or_create_range(tens, cpu_tensor_alignment) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 240 | rng.mark_usage(time_for_pass) |
| 241 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 242 | lr_graph.current_time += 2 |
| 243 | |
| 244 | end_time = 0 |
| 245 | for rng in lr_graph.ranges.values(): |
| 246 | # Find the maximum end time of all live-ranges in the graph |
| 247 | end_time = max(end_time, rng.end_time) |
| 248 | |
| 249 | for tens in sg.output_tensors: |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 250 | if tensor_should_be_ignored(tens, target_mem_area, target_mem_type_set): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 251 | continue |
Tim Hall | b9b515c | 2020-11-01 21:27:19 +0000 | [diff] [blame] | 252 | rng = lr_graph.get_or_create_range(tens, cpu_tensor_alignment) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 253 | rng.mark_usage(end_time) |
| 254 | |
| 255 | # Add subgraph to set of processed subgraphs |
| 256 | lr_graph.processed_subgraphs.add(sg) |
| 257 | return lr_graph |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 258 | |
| 259 | |
| 260 | def create_linear_live_range_graph(sg, target_mem_area, target_mem_type_set, lr_graph): |
| 261 | assert lr_graph is not None |
| 262 | sg_time = lr_graph.current_time |
| 263 | for ps in sg.passes: |
| 264 | for tens in ps.inputs + ps.outputs + ps.intermediates: |
| 265 | if tens.purpose == TensorPurpose.Weights or tensor_should_be_ignored( |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 266 | tens, target_mem_area, target_mem_type_set |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 267 | ): |
| 268 | continue |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 269 | rng = lr_graph.get_or_create_range(tens) |
| 270 | rng.mark_usage(sg_time) |
| 271 | |
Jacob Bohlin | 98bfecd | 2021-06-21 17:22:20 +0200 | [diff] [blame] | 272 | for _, op_info in sg.schedule.cost_map.items(): |
Tim Hall | d784af7 | 2021-06-08 21:25:57 +0100 | [diff] [blame] | 273 | for tensor in [op_info.npu_weights_tensor, op_info.npu_scales_tensor]: |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 274 | if tensor and not (tensor_should_be_ignored(tensor, target_mem_area, target_mem_type_set)): |
Tim Hall | d784af7 | 2021-06-08 21:25:57 +0100 | [diff] [blame] | 275 | rng = lr_graph.get_or_create_range(tensor) |
| 276 | rng.mark_usage(sg_time) |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 277 | |
| 278 | lr_graph.current_time += 1 |
| 279 | return lr_graph |
| 280 | |
| 281 | |
| 282 | def _extract_live_ranges_from_schedule(sg, target_mem_area, target_mem_type_set, lr_graph): |
| 283 | time_for_cascade = {} |
| 284 | for sched_op in sg.sched_ops: |
Fredrik Svedberg | 0ae2848 | 2021-10-27 13:58:03 +0200 | [diff] [blame] | 285 | merge_elementwise_op_ranges(sg, sched_op, lr_graph, target_mem_area, target_mem_type_set) |
Jacob Bohlin | 98bfecd | 2021-06-21 17:22:20 +0200 | [diff] [blame] | 286 | |
Tim Hall | d8339a7 | 2021-05-27 18:49:40 +0100 | [diff] [blame] | 287 | op_info = sg.schedule.cost_map[sched_op] |
| 288 | cascade = op_info.cascade |
| 289 | cascade_info = sg.schedule.cascades.get(cascade, None) |
| 290 | |
| 291 | time_to_set = time_for_cascade.get(cascade, lr_graph.current_time) |
| 292 | |
| 293 | op_info.time_index = time_to_set |
| 294 | |
| 295 | # Mark usage for all tensors related to this Pass |
| 296 | ps = sched_op.parent_ps |
| 297 | for tens in ps.inputs + ps.outputs + ps.intermediates: |
| 298 | if ( |
| 299 | target_mem_area == MemArea.Sram |
| 300 | and cascade_info |
| 301 | and tens == ps.ifm_tensor |
| 302 | and sched_op in cascade_info.buffers |
| 303 | ): |
| 304 | # This tensor is a rolling buffer in a cascade and the size of the LiveRange needs to be modified |
| 305 | # for enabling temporal memory snapshots without modifying the original Tensor |
| 306 | rng = lr_graph.get_or_create_range(tens) |
| 307 | rng.set_buffer_size(cascade_info.buffers[sched_op].elements() * sched_op.ifm.dtype.size_in_bytes()) |
| 308 | elif ( |
| 309 | tens.purpose == TensorPurpose.Weights |
| 310 | or tens.purpose == TensorPurpose.FSBias |
| 311 | or tens.mem_type not in target_mem_type_set |
| 312 | or tens.mem_area != target_mem_area |
| 313 | ): |
| 314 | continue |
| 315 | |
| 316 | else: |
| 317 | rng = lr_graph.get_or_create_range(tens) |
| 318 | |
| 319 | rng.mark_usage(time_to_set) |
| 320 | |
| 321 | weight_tens = op_info.buffered_weight_tensor |
| 322 | if weight_tens and weight_tens.mem_type in target_mem_type_set and weight_tens.mem_area == target_mem_area: |
| 323 | rng = lr_graph.get_or_create_range(weight_tens) |
| 324 | if weight_tens.pre_buffer: |
| 325 | rng.mark_usage(time_to_set - 1, 2) |
| 326 | else: |
| 327 | rng.mark_usage(time_to_set) |
| 328 | |
| 329 | if time_to_set == lr_graph.current_time: |
| 330 | lr_graph.current_time += 2 |
| 331 | |
| 332 | if cascade != 0: |
| 333 | time_for_cascade[cascade] = time_to_set |
| 334 | |
| 335 | end_time = lr_graph.update_endtime() |
| 336 | |
| 337 | for tens in sg.output_tensors: |
| 338 | if tens.mem_type not in target_mem_type_set or tens.mem_area != target_mem_area: |
| 339 | continue |
| 340 | rng = lr_graph.get_or_create_range(tens) |
| 341 | rng.mark_usage(end_time) |
| 342 | |
| 343 | return lr_graph |