erik.andersson@arm.com | 42b94ed | 2021-02-11 14:02:08 +0100 | [diff] [blame] | 1 | # Copyright (C) 2020-2021 Arm Limited or its affiliates. All rights reserved. |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 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 | # Internal representation of a Neural Network Tensor. |
Patrik Gustavsson | 6ae0e42 | 2020-11-04 12:43:50 +0100 | [diff] [blame] | 18 | import copy |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 19 | import enum |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 20 | import uuid |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 21 | from collections import defaultdict |
Diqing Zhong | f842b69 | 2020-12-11 13:07:37 +0100 | [diff] [blame] | 22 | from enum import auto |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 23 | from functools import lru_cache |
Louis Verhaard | 6c74c3b | 2020-12-17 13:54:09 +0100 | [diff] [blame] | 24 | from functools import total_ordering |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 25 | from typing import Dict |
| 26 | from typing import List |
| 27 | from typing import Optional |
| 28 | from typing import Tuple |
| 29 | from typing import Union |
| 30 | from uuid import UUID |
Diego Russo | ea6111a | 2020-04-14 18:41:58 +0100 | [diff] [blame] | 31 | |
| 32 | import numpy as np |
| 33 | |
| 34 | from . import numeric_util |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 35 | from .data_type import BaseType |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 36 | from .data_type import DataType |
Michael McGeagh | 528a56d | 2020-12-16 11:33:21 +0000 | [diff] [blame] | 37 | from .errors import UnsupportedFeatureError |
| 38 | from .errors import VelaError |
Dwight Lidman | a9390f7 | 2020-05-13 12:00:08 +0200 | [diff] [blame] | 39 | from .ethos_u55_regs.ethos_u55_regs import resampling_mode |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 40 | from .numeric_util import full_shape |
Louis Verhaard | aee5d75 | 2020-09-30 09:01:52 +0200 | [diff] [blame] | 41 | from .operation import Op |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 42 | from .operation import Operation |
patrik.gustavsson | eeb8515 | 2020-12-21 17:10:40 +0000 | [diff] [blame] | 43 | from .shape4d import Shape4D |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 44 | |
| 45 | Shape = List |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 46 | |
| 47 | |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 48 | class MemType(enum.IntFlag): |
| 49 | Unknown = 0 |
| 50 | Permanent_NPU = 1 |
| 51 | Permanent_CPU = 2 |
| 52 | Scratch = 3 |
| 53 | Scratch_fast = 4 |
| 54 | Size = Scratch_fast + 1 |
| 55 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 56 | def display_name(self) -> str: |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 57 | return ("Unknown", "Permanent_NPU", "Permanent_CPU", "Scratch", "Scratch_fast", "Size")[self.value] |
| 58 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 59 | def identifier_name(self) -> str: |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 60 | return ("unknown", "permanent_npu", "permanent_cpu", "scratch", "scratch_fast", "size")[self.value] |
| 61 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 62 | @staticmethod |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 63 | def all(): |
| 64 | return (MemType.Permanent_NPU, MemType.Permanent_CPU, MemType.Scratch, MemType.Scratch_fast) |
| 65 | |
| 66 | def __str__(self): |
| 67 | return self.name |
| 68 | |
| 69 | |
Diqing Zhong | f842b69 | 2020-12-11 13:07:37 +0100 | [diff] [blame] | 70 | class BandwidthDirection(enum.IntEnum): |
| 71 | Read = 0 |
| 72 | Write = auto() |
| 73 | Size = auto() |
| 74 | |
| 75 | def display_name(self): |
| 76 | return self.name |
| 77 | |
| 78 | def identifier_name(self): |
| 79 | return self.name.lower() |
| 80 | |
| 81 | @staticmethod |
| 82 | def all(): |
| 83 | return (BandwidthDirection.Read, BandwidthDirection.Write) |
| 84 | |
| 85 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 86 | class MemArea(enum.IntFlag): |
| 87 | Unknown = 0 |
| 88 | Sram = 1 |
| 89 | Dram = 2 |
| 90 | OnChipFlash = 3 |
| 91 | OffChipFlash = 4 |
Louis Verhaard | 0b8268a | 2020-08-05 16:11:29 +0200 | [diff] [blame] | 92 | Shram = 5 # for LUT |
| 93 | Size = Shram + 1 |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 94 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 95 | def display_name(self) -> str: |
Louis Verhaard | 0b8268a | 2020-08-05 16:11:29 +0200 | [diff] [blame] | 96 | return ("Unknown", "SRAM", "DRAM", "On-chip Flash", "Off-chip Flash", "SHRAM", "Size")[self.value] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 97 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 98 | def identifier_name(self) -> str: |
Louis Verhaard | 0b8268a | 2020-08-05 16:11:29 +0200 | [diff] [blame] | 99 | return ("unknown", "sram", "dram", "on_chip_flash", "off_chip_flash", "shram", "size")[self.value] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 100 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 101 | @staticmethod |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 102 | def all(): |
Louis Verhaard | 0b8268a | 2020-08-05 16:11:29 +0200 | [diff] [blame] | 103 | return (MemArea.Sram, MemArea.Dram, MemArea.OnChipFlash, MemArea.OffChipFlash, MemArea.Shram) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 104 | |
| 105 | def __str__(self): |
| 106 | return self.name |
| 107 | |
| 108 | |
| 109 | class TensorPurpose(enum.IntFlag): |
| 110 | Unknown = 0 |
| 111 | Weights = 1 |
| 112 | FeatureMap = 2 |
| 113 | Scratch = 3 |
Fredrik Svedberg | e22ba8c | 2021-01-27 16:53:41 +0100 | [diff] [blame] | 114 | ScratchFast = 4 |
| 115 | LUT = 5 |
| 116 | FSBias = 6 |
| 117 | Size = 7 |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 118 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 119 | def display_name(self) -> str: |
Fredrik Svedberg | e22ba8c | 2021-01-27 16:53:41 +0100 | [diff] [blame] | 120 | return ("Unknown", "Weights", "FeatureMap", "Scratch", "ScratchFast", "LUT", "FastStorageBias", "Size")[ |
| 121 | self.value |
| 122 | ] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 123 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 124 | def identifier_name(self) -> str: |
Fredrik Svedberg | e22ba8c | 2021-01-27 16:53:41 +0100 | [diff] [blame] | 125 | return ("unknown", "weights", "feature_map", "scratch", "scratch_fast", "lut", "fast_storage_bias", "size")[ |
| 126 | self.value |
| 127 | ] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 128 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 129 | @staticmethod |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 130 | def all(): |
Andreas Nevalainen | 897cc14 | 2020-10-28 15:42:08 +0100 | [diff] [blame] | 131 | return (TensorPurpose.Weights, TensorPurpose.FeatureMap, TensorPurpose.FSBias) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 132 | |
| 133 | |
| 134 | class TensorSubPurpose(enum.Enum): |
| 135 | Standard = 0 |
| 136 | DoubleBuffer = 1 |
| 137 | RollingBufferX = 2 |
| 138 | RollingBufferY = 3 |
| 139 | RollingBufferXY = 4 |
| 140 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 141 | def display_name(self) -> str: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 142 | return ("Standard", "Double Buffer", "Rolling Buffer X", "Rolling Buffer Y", "Rolling Buffer XY")[self.value] |
| 143 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 144 | def identifier_name(self) -> str: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 145 | return ("standard", "double_buffer", "rolling_buffer_x", "rolling_buffer_y", "rolling_buffer_xy")[self.value] |
| 146 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 147 | @staticmethod |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 148 | def all(): |
| 149 | return ( |
| 150 | TensorSubPurpose.Standard, |
| 151 | TensorSubPurpose.DoubleBuffer, |
| 152 | TensorSubPurpose.RollingBufferX, |
| 153 | TensorSubPurpose.RollingBufferY, |
| 154 | TensorSubPurpose.RollingBufferXY, |
| 155 | ) |
| 156 | |
| 157 | |
| 158 | class TensorFormat(enum.Flag): |
| 159 | Unknown = 0 |
| 160 | WeightsCompressed = 1 |
| 161 | NHWC = 2 |
| 162 | NHCWB16 = 3 |
| 163 | |
| 164 | def __str__(self): |
| 165 | return self.name |
| 166 | |
| 167 | |
| 168 | class TensorBlockTraversal(enum.Enum): |
| 169 | Default = 0 |
| 170 | DepthWise = 1 |
| 171 | DepthFirst = 2 |
| 172 | PartKernelFirst = 3 |
| 173 | |
| 174 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 175 | def shape_num_elements(shp: Shape) -> Optional[int]: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 176 | elems = 1 |
| 177 | if shp is None: |
| 178 | return None |
| 179 | for d in shp: |
| 180 | if d is None: |
| 181 | return None |
| 182 | elems *= d |
| 183 | return elems |
| 184 | |
| 185 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 186 | def shape_fully_defined(shp: Shape) -> bool: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 187 | if shp is None: |
| 188 | return False |
| 189 | for d in shp: |
| 190 | if d is None: |
| 191 | return False |
| 192 | return True |
| 193 | |
| 194 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 195 | def shape_round_to_quantum(shp: Shape, quantum: Tuple) -> Shape: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 196 | new_shp = list(shp) |
| 197 | |
| 198 | # Traverse backwards using length of shape since there may be more rounding quantums than shape elements |
| 199 | for i in range(-1, -len(shp) - 1, -1): |
| 200 | if new_shp[i] is not None: |
| 201 | new_shp[i] = numeric_util.round_up(new_shp[i], quantum[i]) |
| 202 | return new_shp |
| 203 | |
| 204 | |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 205 | @lru_cache(maxsize=None) |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 206 | def create_equivalence_id(key) -> UUID: |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 207 | # Generates equivalence_id based on the given key. |
| 208 | return uuid.uuid4() |
| 209 | |
| 210 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 211 | class QuantizationParameters: |
| 212 | __slots__ = "min", "max", "num_bits", "narrow_range", "scale_f32", "zero_point", "quant_min", "quant_max" |
| 213 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 214 | def __init__( |
| 215 | self, |
| 216 | min: Union[float, np.ndarray, None] = None, |
| 217 | max: Union[float, np.ndarray, None] = None, |
| 218 | num_bits=None, |
| 219 | narrow_range=None, |
| 220 | ): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 221 | self.min = min |
| 222 | self.max = max |
| 223 | |
| 224 | self.num_bits = num_bits |
| 225 | self.narrow_range = narrow_range |
| 226 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 227 | self.scale_f32: Union[float, np.ndarray, None] = None |
| 228 | self.zero_point: Union[int, np.ndarray, None] = None |
| 229 | self.quant_min: Optional[float] = None |
| 230 | self.quant_max: Optional[float] = None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 231 | |
| 232 | def __str__(self): |
| 233 | return "<nng.QuantizationParameters min=%s max=%s, num_bits=%s, scale=%s, zero_point=%s>" % ( |
| 234 | self.min, |
| 235 | self.max, |
| 236 | self.num_bits, |
| 237 | self.scale_f32, |
| 238 | self.zero_point, |
| 239 | ) |
| 240 | |
| 241 | __repr__ = __str__ |
| 242 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 243 | def clone(self) -> "QuantizationParameters": |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 244 | res = QuantizationParameters() |
| 245 | res.min = self.min |
| 246 | res.max = self.max |
| 247 | |
| 248 | res.num_bits = self.num_bits |
| 249 | res.narrow_range = self.narrow_range |
| 250 | |
| 251 | res.scale_f32 = self.scale_f32 |
| 252 | res.zero_point = self.zero_point |
| 253 | res.quant_min = self.quant_min |
| 254 | res.quant_max = self.quant_max |
| 255 | return res |
| 256 | |
| 257 | def dequantize(self, values): |
| 258 | if self.zero_point.size == 1 and self.scale_f32.size == 1: |
| 259 | # same scale is used for all values |
| 260 | res = (values.astype(np.float64) - self.zero_point) * self.scale_f32 |
| 261 | else: |
| 262 | # a different scale is used for different sets of values |
| 263 | values_as_float = values.astype(np.float64) |
| 264 | |
| 265 | # this is not compatible with the format of depthwise weights, |
| 266 | # where input is at index 3 (Output, Kh, Kw, Input) |
| 267 | # return the quantized values |
| 268 | return np.ndarray((values_as_float.shape)) |
| 269 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 270 | return res |
| 271 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 272 | def is_scaling_equal(self, other: Optional["QuantizationParameters"]) -> bool: |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 273 | # quantisation parameter scaling is not equal if 'other' is None because |
| 274 | # it implies that the tensor it belongs to is not quantised. otherwise, |
| 275 | # it depends upon whether the scale and zero point are equal |
| 276 | |
Tim Hall | 8956761 | 2020-10-27 11:57:57 +0000 | [diff] [blame] | 277 | if not isinstance(other, QuantizationParameters): |
Tim Hall | e3786ac | 2020-07-28 17:40:50 +0100 | [diff] [blame] | 278 | return False |
| 279 | |
| 280 | return self.scale_f32 == other.scale_f32 and self.zero_point == other.zero_point |
| 281 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 282 | def is_valid(self) -> bool: |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 283 | # quantisation parameters are consider valid if they have a scale and zero point |
| 284 | |
| 285 | return None not in (self.scale_f32, self.zero_point) |
| 286 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 287 | def is_per_axis(self) -> bool: |
Dwight Lidman | c718743 | 2020-11-16 17:40:46 +0100 | [diff] [blame] | 288 | """Returns True if either the scale, zero point, minimum or maximum values are arrays""" |
| 289 | for attr in ("scale_f32", "zero_point", "min", "max"): |
| 290 | if isinstance(getattr(self, attr), np.ndarray): |
| 291 | return True |
| 292 | return False |
| 293 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 294 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 295 | def create_const_tensor( |
| 296 | name: str, |
| 297 | shape: Shape, |
| 298 | dtype: DataType, |
| 299 | values: np.ndarray, |
| 300 | value_dtype: np.dtype = None, |
| 301 | purpose: TensorPurpose = TensorPurpose.Unknown, |
| 302 | quantization: QuantizationParameters = None, |
Dwight Lidman | 9b37918 | 2021-03-15 19:06:10 +0100 | [diff] [blame] | 303 | quant_value_dtype: np.dtype = None, |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 304 | ): |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 305 | # Tensor |
| 306 | const_tensor = Tensor(shape, dtype, name + "_0") |
| 307 | const_tensor.purpose = purpose |
| 308 | const_tensor.quantization = quantization |
| 309 | const_tensor.values = np.array(values, dtype=value_dtype) |
Dwight Lidman | 9b37918 | 2021-03-15 19:06:10 +0100 | [diff] [blame] | 310 | const_tensor.quant_values = np.frombuffer( |
| 311 | const_tensor.values.tobytes(), dtype=np.uint8 if not quant_value_dtype else quant_value_dtype |
| 312 | ) |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 313 | # Operator |
Louis Verhaard | aee5d75 | 2020-09-30 09:01:52 +0200 | [diff] [blame] | 314 | const_op = Operation(Op.Const, name) |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 315 | const_op.set_output_tensor(const_tensor) |
patrik.gustavsson | eeb8515 | 2020-12-21 17:10:40 +0000 | [diff] [blame] | 316 | const_op.set_ifm_ofm_shapes() |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 317 | return const_tensor |
| 318 | |
| 319 | |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 320 | # class that keeps track of all tensor addresses in the different memory types |
| 321 | class TensorAddressMap: |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 322 | address_map: Dict = defaultdict(dict) # dict (tens.equivalence_id -> dict (mem_type -> address)) |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 323 | |
| 324 | @classmethod |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 325 | def get_address_for_tens(cls, tens_id: UUID, mem_type: MemType) -> int: |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 326 | return cls.address_map[tens_id].get(mem_type) |
| 327 | |
| 328 | @classmethod |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 329 | def set_address_for_tens(cls, tens_id: UUID, mem_type: MemType, address: int): |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 330 | # Check previous address if there is one |
| 331 | previous_address = cls.address_map[tens_id].get(mem_type) |
Louis Verhaard | 0b9c9a3 | 2020-09-15 14:05:38 +0200 | [diff] [blame] | 332 | if address is not None and previous_address is not None: |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 333 | assert previous_address == address, "Two different addresses cannot be assigned to the same tensor." |
| 334 | |
| 335 | # Set tensor's address for memory type |
| 336 | cls.address_map[tens_id][mem_type] = address |
| 337 | |
| 338 | |
Louis Verhaard | 6c74c3b | 2020-12-17 13:54:09 +0100 | [diff] [blame] | 339 | @total_ordering |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 340 | class Tensor: |
| 341 | __slots__ = ( |
| 342 | "shape", |
| 343 | "storage_shape", |
| 344 | "bandwidth_shape", |
| 345 | "dtype", |
| 346 | "name", |
Fredrik Svedberg | 8d0f489 | 2021-02-16 21:59:50 +0100 | [diff] [blame] | 347 | "is_variable", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 348 | "ops", |
| 349 | "consumer_list", |
| 350 | "values", |
| 351 | "quant_values", |
| 352 | "compressed_values", |
Tim Hall | f7e810a | 2020-06-25 15:04:31 +0100 | [diff] [blame] | 353 | "compressed_values_substream_offsets", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 354 | "mem_area", |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 355 | "mem_type", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 356 | "format", |
| 357 | "purpose", |
| 358 | "sub_purpose", |
| 359 | "alignment", |
| 360 | "weight_transpose_depthwise", |
| 361 | "storage_compression_scale", |
| 362 | "bandwidth_compression_scale", |
| 363 | "compression_scale_for_worst_weight_stream", |
| 364 | "weight_compression_scales", |
| 365 | "weight_compression_config", |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 366 | "value_id", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 367 | "storage_rounding_quantum", |
| 368 | "brick_size", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 369 | "quantization", |
| 370 | "weight_compressed_offsets", |
| 371 | "element_size_bytes", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 372 | "block_traversal", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 373 | "equivalence_id", |
Dwight Lidman | a9390f7 | 2020-05-13 12:00:08 +0200 | [diff] [blame] | 374 | "resampling_mode", |
Patrik Gustavsson | ee99bb1 | 2021-04-08 09:04:00 +0200 | [diff] [blame^] | 375 | "needs_linear_format", |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 376 | ) |
| 377 | AllocationQuantum = 16 |
| 378 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 379 | def __init__(self, shape: Shape, dtype: DataType, name: str): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 380 | self.shape = shape |
| 381 | self.storage_shape = shape |
| 382 | self.bandwidth_shape = shape |
| 383 | self.dtype = dtype |
| 384 | self.name = name |
Fredrik Svedberg | 8d0f489 | 2021-02-16 21:59:50 +0100 | [diff] [blame] | 385 | self.is_variable = False |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 386 | self.equivalence_id: UUID = uuid.uuid4() |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 387 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 388 | self.ops: List[Operation] = [] |
| 389 | self.consumer_list: List[Operation] = [] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 390 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 391 | self.values: Optional[np.ndarray] = None |
| 392 | self.quant_values: Optional[np.ndarray] = None |
| 393 | self.compressed_values: Optional[np.ndarray] = None |
| 394 | self.compressed_values_substream_offsets: Optional[List] = None |
| 395 | self.mem_area: MemArea = MemArea.Unknown |
| 396 | self.mem_type: MemType = MemType.Unknown |
| 397 | self.format: TensorFormat = TensorFormat.Unknown |
| 398 | self.purpose: TensorPurpose = TensorPurpose.Unknown |
| 399 | self.sub_purpose: TensorSubPurpose = TensorSubPurpose.Standard |
| 400 | self.alignment: int = Tensor.AllocationQuantum |
| 401 | self.weight_transpose_depthwise: bool = False |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 402 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 403 | self.storage_compression_scale: float = 1.0 |
| 404 | self.bandwidth_compression_scale: float = 1.0 |
| 405 | self.compression_scale_for_worst_weight_stream: float = 1.0 |
| 406 | self.weight_compression_scales: Optional[np.ndarray] = None |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 407 | # if two tensors have the same weight_compression_config, then they have the same compressed values |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 408 | self.weight_compression_config = None |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 409 | # if two tensors have the same value_id, then they have the same values |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 410 | self.value_id: UUID = uuid.uuid4() |
| 411 | self.weight_compressed_offsets: List = [] |
| 412 | self.storage_rounding_quantum: Tuple = (1, 1, 1, 1) |
| 413 | self.brick_size: Tuple = (1, 1, 1, 1) |
| 414 | self.element_size_bytes: int = 0 |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 415 | |
| 416 | # quantization parameters |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 417 | self.quantization: Optional[QuantizationParameters] = None |
| 418 | self.block_traversal: TensorBlockTraversal = TensorBlockTraversal.Default |
| 419 | self.resampling_mode: resampling_mode = resampling_mode.NONE |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 420 | |
Patrik Gustavsson | ee99bb1 | 2021-04-08 09:04:00 +0200 | [diff] [blame^] | 421 | self.needs_linear_format = True |
Patrik Gustavsson | 458a208 | 2020-08-13 13:41:05 +0200 | [diff] [blame] | 422 | |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 423 | @property |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 424 | def address(self) -> int: |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 425 | return TensorAddressMap.get_address_for_tens(self.equivalence_id, self.mem_type) |
| 426 | |
| 427 | @address.setter |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 428 | def address(self, address: int): |
Jacob Bohlin | 1a66697 | 2020-09-11 10:04:15 +0200 | [diff] [blame] | 429 | TensorAddressMap.set_address_for_tens(self.equivalence_id, self.mem_type, address) |
| 430 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 431 | @property |
| 432 | def is_standard_fm(self) -> bool: |
| 433 | return self.sub_purpose == TensorSubPurpose.Standard and self.purpose == TensorPurpose.FeatureMap |
| 434 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 435 | def element_size(self) -> int: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 436 | if self.element_size_bytes == 0: |
| 437 | return self.dtype.size_in_bits() / 8 |
| 438 | return self.element_size_bytes |
| 439 | |
Patrik Gustavsson | 6ae0e42 | 2020-11-04 12:43:50 +0100 | [diff] [blame] | 440 | # Returns a copy, renamed to self.name + suffix |
| 441 | # The references to Operators will be empty when returned |
| 442 | # Depending on set_unique, the copy is shallow, or deep |
| 443 | # For set_unique==True, a new equivalence_id will be set |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 444 | def clone(self, suffix="_clone", set_unique: bool = False) -> "Tensor": |
erik.andersson@arm.com | 42b94ed | 2021-02-11 14:02:08 +0100 | [diff] [blame] | 445 | res = copy.copy(self) |
Patrik Gustavsson | 6ae0e42 | 2020-11-04 12:43:50 +0100 | [diff] [blame] | 446 | if set_unique: |
Patrik Gustavsson | 6ae0e42 | 2020-11-04 12:43:50 +0100 | [diff] [blame] | 447 | res.equivalence_id = uuid.uuid4() |
erik.andersson@arm.com | 42b94ed | 2021-02-11 14:02:08 +0100 | [diff] [blame] | 448 | res.storage_shape = list(self.storage_shape) |
| 449 | res.bandwidth_shape = list(self.bandwidth_shape) |
| 450 | if self.quantization is not None: |
| 451 | res.quantization = self.quantization.clone() |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 452 | |
Patrik Gustavsson | 6ae0e42 | 2020-11-04 12:43:50 +0100 | [diff] [blame] | 453 | res.name = res.name + suffix |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 454 | res.ops = [] |
| 455 | res.consumer_list = [] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 456 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 457 | return res |
| 458 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 459 | def clone_into_fast_storage(self, arch) -> "Tensor": |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 460 | res = self.clone(suffix="_fast_storage") |
| 461 | res.mem_area = arch.fast_storage_mem_area |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 462 | res.mem_type = MemType.Scratch_fast |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 463 | return res |
| 464 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 465 | def copy_compressed_weight_info(self, src_tens: "Tensor"): |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 466 | # Copies compressed values + all related weight compression info from the given tensor |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 467 | self.equivalence_id = src_tens.equivalence_id |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 468 | self.compressed_values = src_tens.compressed_values |
Tim Hall | f7e810a | 2020-06-25 15:04:31 +0100 | [diff] [blame] | 469 | self.compressed_values_substream_offsets = src_tens.compressed_values_substream_offsets |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 470 | self.storage_shape = src_tens.storage_shape |
| 471 | self.brick_size = src_tens.brick_size |
| 472 | self.weight_compression_scales = src_tens.weight_compression_scales |
| 473 | self.weight_compressed_offsets = src_tens.weight_compressed_offsets |
| 474 | self.weight_transpose_depthwise = src_tens.weight_transpose_depthwise |
| 475 | self.compression_scale_for_worst_weight_stream = src_tens.compression_scale_for_worst_weight_stream |
| 476 | self.storage_compression_scale = src_tens.storage_compression_scale |
Diqing Zhong | 7e1d1d1 | 2020-10-30 15:10:46 +0100 | [diff] [blame] | 477 | self.bandwidth_compression_scale = src_tens.bandwidth_compression_scale |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 478 | self.block_traversal = src_tens.block_traversal |
| 479 | self.weight_compression_config = src_tens.weight_compression_config |
Louis Verhaard | 9db529a | 2020-09-23 10:27:11 +0200 | [diff] [blame] | 480 | self.value_id = src_tens.value_id |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 481 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 482 | def set_format(self, fmt: TensorFormat, arch): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 483 | self.format = fmt |
| 484 | shape_len = 0 |
| 485 | try: |
| 486 | shape_len = len(self.shape) |
| 487 | except TypeError: |
| 488 | pass |
| 489 | |
Louis Verhaard | 0411edb | 2020-11-16 16:37:11 +0100 | [diff] [blame] | 490 | if shape_len > 4: |
| 491 | return |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 492 | self.storage_rounding_quantum = arch.storage_rounding_quantums[self.format] |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 493 | self.storage_rounding_quantum = tuple(self.storage_rounding_quantum[-shape_len:]) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 494 | self.brick_size = arch.brick_sizes[self.format] |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 495 | self.brick_size = tuple(self.brick_size[-shape_len:]) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 496 | if self.shape is None: |
| 497 | return |
| 498 | |
| 499 | self.bandwidth_shape = shape_round_to_quantum(self.shape, self.brick_size) |
| 500 | self.storage_shape = shape_round_to_quantum(self.shape, self.storage_rounding_quantum) |
| 501 | |
| 502 | if fmt == TensorFormat.WeightsCompressed: |
| 503 | compression_ratio = 5 / 8 |
| 504 | self.storage_compression_scale = compression_ratio |
| 505 | self.bandwidth_compression_scale = compression_ratio |
| 506 | self.compression_scale_for_worst_weight_stream = compression_ratio |
| 507 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 508 | def storage_elements(self) -> int: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 509 | elems = shape_num_elements(self.storage_shape) |
| 510 | if elems is None: |
| 511 | return 0 |
| 512 | return elems |
| 513 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 514 | def elements(self) -> int: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 515 | elems = shape_num_elements(self.shape) |
| 516 | if elems is None: |
| 517 | return 0 |
| 518 | return elems |
| 519 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 520 | def has_fully_defined_shape(self) -> bool: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 521 | return shape_fully_defined(self.shape) |
| 522 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 523 | def storage_size(self, scale: float = 1.0) -> int: |
Patrik Gustavsson | 90831bc | 2020-08-24 16:26:11 +0200 | [diff] [blame] | 524 | raw_size = self.storage_elements() * self.element_size() * scale |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 525 | if raw_size == 0: |
| 526 | raw_size = 1 # force it to take up space |
| 527 | rounded_size = numeric_util.round_up(numeric_util.round_up_to_int(raw_size), self.alignment) |
| 528 | return rounded_size |
| 529 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 530 | def storage_size_for_shape(self, op_storage_shape: Shape) -> int: |
| 531 | elems = shape_num_elements(op_storage_shape) |
| 532 | elems = elems if elems else 0 |
| 533 | raw_size = elems * self.element_size() |
| 534 | if raw_size == 0: |
| 535 | raw_size = 1 # force it to take up space |
| 536 | rounded_size = numeric_util.round_up(numeric_util.round_up_to_int(raw_size), self.alignment) |
| 537 | return rounded_size |
| 538 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 539 | def storage_size_for_sub_purpose( |
| 540 | self, arch, sub_purpose: TensorSubPurpose, param_a: Optional[int] = None, param_b: Optional[int] = None |
| 541 | ) -> int: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 542 | alt_shape = self.storage_shape_for_sub_purpose(sub_purpose, param_a, param_b) |
| 543 | elems = shape_num_elements(alt_shape) |
| 544 | if elems is None: |
| 545 | return 0 |
| 546 | if sub_purpose == TensorSubPurpose.DoubleBuffer: |
Patrik Gustavsson | 90831bc | 2020-08-24 16:26:11 +0200 | [diff] [blame] | 547 | raw_size = ( |
| 548 | elems |
| 549 | * self.element_size() |
| 550 | * self.compression_scale_for_worst_weight_stream |
| 551 | * arch.weight_estimation_scaling |
| 552 | ) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 553 | else: |
Patrik Gustavsson | 9baa4c3 | 2020-08-20 13:59:01 +0200 | [diff] [blame] | 554 | # Rolling buffers are used for intermediate data in ifm streaming |
| 555 | # These will all use the NHCWB16 format, and need to be aligned to 16 in the C-dimension |
| 556 | if alt_shape[-1] % 16 != 0: |
| 557 | nhcwb16_shape = alt_shape[0:-1] + [numeric_util.round_up(alt_shape[-1], 16)] |
| 558 | elems = shape_num_elements(nhcwb16_shape) |
| 559 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 560 | raw_size = elems * self.element_size() * self.storage_compression_scale |
| 561 | rounded_size = numeric_util.round_up(numeric_util.round_up_to_int(raw_size), self.alignment) |
| 562 | return rounded_size |
| 563 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 564 | def storage_shape_for_sub_purpose( |
| 565 | self, sub_purpose: TensorSubPurpose, param_a: Optional[int], param_b: Optional[int] |
| 566 | ) -> Shape: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 567 | if sub_purpose == TensorSubPurpose.DoubleBuffer: |
Jacob Bohlin | e843d33 | 2020-06-23 12:12:56 +0200 | [diff] [blame] | 568 | shp = list(self.shape) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 569 | assert len(shp) >= 2 |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 570 | assert param_a is not None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 571 | shp[-1] = min(shp[-1], param_a * 2) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 572 | else: |
Jacob Bohlin | e843d33 | 2020-06-23 12:12:56 +0200 | [diff] [blame] | 573 | shp = list(self.storage_shape) |
| 574 | if sub_purpose == TensorSubPurpose.RollingBufferX: |
| 575 | assert len(shp) == 4 |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 576 | assert param_a is not None |
Jacob Bohlin | e843d33 | 2020-06-23 12:12:56 +0200 | [diff] [blame] | 577 | shp[0] = 1 |
| 578 | shp[2] = min(shp[2], param_a) |
| 579 | elif sub_purpose == TensorSubPurpose.RollingBufferY: |
| 580 | assert len(shp) == 4 |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 581 | assert param_a is not None |
Jacob Bohlin | e843d33 | 2020-06-23 12:12:56 +0200 | [diff] [blame] | 582 | shp[0] = 1 |
| 583 | shp[1] = min(shp[1], param_a) |
| 584 | elif sub_purpose == TensorSubPurpose.RollingBufferXY: |
| 585 | assert len(shp) == 4 |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 586 | assert param_a is not None |
| 587 | assert param_b is not None |
Jacob Bohlin | e843d33 | 2020-06-23 12:12:56 +0200 | [diff] [blame] | 588 | shp[0] = 1 |
| 589 | shp[2] = min(shp[2], param_a) |
| 590 | shp[1] = min(shp[1], param_b) |
| 591 | elif sub_purpose == TensorSubPurpose.Standard: |
| 592 | pass |
| 593 | else: |
| 594 | assert 0, "did not expect new sub purpose %s" % (sub_purpose,) |
| 595 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 596 | return shp |
| 597 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 598 | def set_new_sub_purpose(self, sub_purpose: TensorSubPurpose, param_a=None, param_b=None): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 599 | self.storage_shape = self.storage_shape_for_sub_purpose(sub_purpose, param_a, param_b) |
| 600 | self.sub_purpose = sub_purpose |
| 601 | if sub_purpose == TensorSubPurpose.DoubleBuffer: |
| 602 | self.storage_compression_scale = self.compression_scale_for_worst_weight_stream |
| 603 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 604 | def bandwidth(self) -> float: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 605 | elems = shape_num_elements(self.bandwidth_shape) |
| 606 | if elems is None: |
| 607 | return 0 |
| 608 | return elems * self.element_size() * self.bandwidth_compression_scale |
| 609 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 610 | def consumers(self) -> List[Operation]: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 611 | return self.consumer_list |
| 612 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 613 | def get_4D_storage_shape_for_shape(self, op_shape4D: Shape4D) -> Shape4D: |
| 614 | rounding_quantum = full_shape(4, list(self.storage_rounding_quantum), 1) |
| 615 | return Shape4D(shape_round_to_quantum(op_shape4D.as_list(), rounding_quantum)) |
| 616 | |
| 617 | def addresses_for_rolling_buffer(self, start_coord: Shape, end_coord: Shape, op_shape4D: Shape4D) -> Tuple: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 618 | # returns ( box_height0, box_height1, box_width, [address_tl, address_tr, address_bl, address_br] ) |
| 619 | |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 620 | if self.storage_shape == []: |
| 621 | return ( |
| 622 | 1, |
| 623 | 1, |
| 624 | 1, |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 625 | [self.address_for_coordinate(start_coord, op_shape4D=op_shape4D), None, None, None], |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 626 | ) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 627 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 628 | if self.is_standard_fm: |
| 629 | storage_shape_4D = self.get_4D_storage_shape_for_shape(op_shape4D) |
| 630 | else: |
| 631 | storage_shape_4D = Shape4D(self.storage_shape) |
| 632 | |
| 633 | crossing_y = numeric_util.round_up(start_coord[1] + 1, storage_shape_4D.height) |
| 634 | crossing_x = numeric_util.round_up(start_coord[2] + 1, storage_shape_4D.width) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 635 | |
| 636 | crossing_y = min(crossing_y, end_coord[1]) |
| 637 | crossing_x = min(crossing_x, end_coord[2]) |
| 638 | |
| 639 | box_height0 = crossing_y - start_coord[1] |
| 640 | box_width = crossing_x - start_coord[2] |
| 641 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 642 | addresses: List = [None] * 4 |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 643 | addresses[0] = self.address_for_coordinate(start_coord, op_shape4D=op_shape4D) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 644 | |
| 645 | if end_coord[2] > crossing_x: |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 646 | addresses[1] = self.address_for_coordinate( |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 647 | [start_coord[0], start_coord[1], crossing_x, start_coord[3]], op_shape4D=op_shape4D |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 648 | ) |
Michael McGeagh | 528a56d | 2020-12-16 11:33:21 +0000 | [diff] [blame] | 649 | raise UnsupportedFeatureError("Striping in vertical direction is not supported") |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 650 | if end_coord[1] > crossing_y: |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 651 | addresses[2] = self.address_for_coordinate( |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 652 | [start_coord[0], crossing_y, start_coord[2], start_coord[3]], op_shape4D=op_shape4D |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 653 | ) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 654 | if end_coord[1] > crossing_y and end_coord[2] > crossing_x: |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 655 | addresses[3] = self.address_for_coordinate( |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 656 | [start_coord[0], crossing_y, crossing_x, start_coord[3]], op_shape4D=op_shape4D |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 657 | ) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 658 | |
| 659 | return box_height0, box_height0, box_width, addresses |
| 660 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 661 | def address_for_coordinate(self, coord: Shape, is_top_box: bool = False, op_shape4D: Shape4D = None) -> int: |
| 662 | offset = self.address_offset_for_coordinate(coord, op_shape4D=op_shape4D, is_top_box=is_top_box) |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 663 | assert offset is not None |
| 664 | return self.address + offset |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 665 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 666 | def get_strides_and_coord( |
| 667 | self, coord: Optional[Shape] = None, shape4D: Optional[Shape4D] = None |
| 668 | ) -> Tuple[Optional[Shape], Optional[Shape]]: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 669 | if coord is None: |
| 670 | coord = [0] * len(self.storage_shape) |
| 671 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 672 | if shape4D and self.is_standard_fm: |
| 673 | augmented_shape = self.get_4D_storage_shape_for_shape(shape4D).as_list() |
| 674 | else: |
| 675 | augmented_shape = full_shape(4, self.storage_shape, 1) |
| 676 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 677 | augmented_coord = coord |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 678 | |
| 679 | while len(augmented_coord) < 4: |
| 680 | augmented_coord = [0] + augmented_coord |
| 681 | |
| 682 | assert len(augmented_coord) == len(augmented_shape) |
| 683 | |
| 684 | if self.format == TensorFormat.NHWC: |
| 685 | augmented_shape = [augmented_shape[0], augmented_shape[3]] + augmented_shape[1:3] + [1] |
| 686 | augmented_coord = [augmented_coord[0], augmented_coord[3]] + augmented_coord[1:3] + [0] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 687 | |
| 688 | elif self.format == TensorFormat.NHCWB16: |
Patrik Gustavsson | 2213e90 | 2020-05-05 17:49:35 +0200 | [diff] [blame] | 689 | channel_divisor = 16 |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 690 | augmented_shape = augmented_shape[0:4] + [1] |
| 691 | augmented_coord = ( |
| 692 | [augmented_coord[0], augmented_coord[3] // channel_divisor] |
| 693 | + augmented_coord[1:3] |
| 694 | + [augmented_coord[3] % channel_divisor] |
| 695 | ) |
| 696 | |
| 697 | if augmented_shape[1] == 0: |
| 698 | augmented_shape[1] = 1 |
| 699 | |
| 700 | else: |
Michael McGeagh | f3e3ad7 | 2020-12-02 12:39:03 +0000 | [diff] [blame] | 701 | assert self.format in (TensorFormat.Unknown, TensorFormat.WeightsCompressed) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 702 | return None, None |
| 703 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 704 | strides: List = [0] * len(augmented_shape) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 705 | stride = self.element_size() * self.storage_compression_scale |
| 706 | |
| 707 | if self.format != TensorFormat.NHCWB16: |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 708 | stride_order = [4, 1, 3, 2, 0] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 709 | for i in stride_order: |
| 710 | strides[i] = stride |
| 711 | stride *= augmented_shape[i] |
| 712 | else: |
| 713 | assert len(strides) == 5 |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 714 | strides[4] = stride |
Patrik Gustavsson | 2213e90 | 2020-05-05 17:49:35 +0200 | [diff] [blame] | 715 | strides[3] = 16 * stride # STRIDE_X |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 716 | strides[1] = strides[3] * augmented_shape[2] # STRIDE_C |
Louis Verhaard | b2fb212 | 2020-06-04 15:51:24 +0200 | [diff] [blame] | 717 | strides[2] = augmented_shape[2] * augmented_shape[3] * stride # STRIDE_Y |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 718 | strides[0] = strides[2] * augmented_shape[1] # STRIDE_N |
| 719 | |
| 720 | return strides, augmented_coord |
| 721 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 722 | def get_strides(self, shape4D: Optional[Shape4D] = None) -> Shape: |
| 723 | strides, _ = self.get_strides_and_coord(shape4D=shape4D) |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 724 | assert strides is not None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 725 | return strides |
| 726 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 727 | def needs_dma(self) -> bool: |
Louis Verhaard | aee5d75 | 2020-09-30 09:01:52 +0200 | [diff] [blame] | 728 | return len(self.ops) == 1 and self.ops[0].type == Op.DMA |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 729 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 730 | def get_dma_src_tensor(self) -> "Optional[Tensor]": |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 731 | # For weight tensors that need DMA: returns the source tensor in Flash, else None |
| 732 | # Note: for DMA ops, Pass.weight_tensor is referring to the SRAM weight tensor |
| 733 | return self.ops[0].inputs[0] if self.needs_dma() else None |
| 734 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 735 | def find_npu_op(self) -> Optional[Operation]: |
Louis Verhaard | b2fb212 | 2020-06-04 15:51:24 +0200 | [diff] [blame] | 736 | # Returns the NPU operator that uses this tensor, excluding DMA operators. |
| 737 | for op in self.consumers(): |
Louis Verhaard | aee5d75 | 2020-09-30 09:01:52 +0200 | [diff] [blame] | 738 | if op.type == Op.DMA: |
Louis Verhaard | b2fb212 | 2020-06-04 15:51:24 +0200 | [diff] [blame] | 739 | return op.outputs[0].find_npu_op() |
Dwight Lidman | 940fdee | 2020-08-13 13:11:48 +0200 | [diff] [blame] | 740 | if op.run_on_npu: |
Louis Verhaard | b2fb212 | 2020-06-04 15:51:24 +0200 | [diff] [blame] | 741 | return op |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 742 | return None |
Louis Verhaard | b2fb212 | 2020-06-04 15:51:24 +0200 | [diff] [blame] | 743 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 744 | def compressed_stream_index_from_coord(self, coord: Shape) -> int: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 745 | assert self.format == TensorFormat.WeightsCompressed |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 746 | assert self.compressed_values is not None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 747 | assert len(self.compressed_values) > 0 |
| 748 | assert len(self.compressed_values) + 1 == len(self.weight_compressed_offsets) |
| 749 | |
| 750 | depth = coord[-1] |
| 751 | brick_depth = self.brick_size[-1] |
| 752 | # Clamp position at final element index |
| 753 | if depth > self.shape[-1]: |
| 754 | depth = self.shape[-1] |
| 755 | |
| 756 | # Always round up to next boundary |
Michael McGeagh | 8d3216f | 2020-08-10 11:35:57 +0100 | [diff] [blame] | 757 | index = numeric_util.round_up_divide(depth, brick_depth) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 758 | |
| 759 | # Check boundaries on all but last weight set (which may be shorter |
| 760 | # than the brick we divided it up into) |
| 761 | if index < len(self.weight_compressed_offsets) - 1: |
| 762 | # There are no half-way points in the weights |
| 763 | if (depth % brick_depth) != 0: |
Michael McGeagh | 528a56d | 2020-12-16 11:33:21 +0000 | [diff] [blame] | 764 | raise UnsupportedFeatureError("Offset into weights must be aligned to a brick") |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 765 | |
| 766 | return index |
| 767 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 768 | def size_of_compressed_stream(self, index: int) -> int: |
| 769 | assert self.compressed_values is not None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 770 | assert 0 <= index < len(self.compressed_values) |
| 771 | return len(self.compressed_values[index]) |
| 772 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 773 | def is_last_index_in_compressed_stream(self, index: int) -> bool: |
| 774 | assert self.compressed_values is not None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 775 | assert 0 <= index < len(self.compressed_values) |
| 776 | return index == len(self.compressed_values) - 1 |
| 777 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 778 | def address_offset_for_coordinate( |
| 779 | self, orig_coord: Shape, op_shape4D: Optional[Shape4D] = None, is_top_box: bool = False |
| 780 | ) -> Optional[int]: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 781 | address_offset = 0 |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 782 | |
| 783 | if self.sub_purpose == TensorSubPurpose.Standard: |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 784 | shape = op_shape4D.as_list() if op_shape4D else self.shape |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 785 | for idx, c in enumerate(orig_coord): |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 786 | if is_top_box: |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 787 | assert c > 0 and c <= shape[idx] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 788 | else: |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 789 | assert c >= 0 and c < shape[idx] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 790 | |
| 791 | if self.format == TensorFormat.WeightsCompressed: |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 792 | storage_size = self.storage_size() |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 793 | if len(self.weight_compressed_offsets) == 0: |
| 794 | return 0 |
| 795 | |
Louis Verhaard | 3c07c97 | 2020-05-07 08:12:58 +0200 | [diff] [blame] | 796 | if self.needs_dma() and self.sub_purpose == TensorSubPurpose.DoubleBuffer: |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 797 | depth = orig_coord[-1] |
| 798 | brick_depth = self.brick_size[-1] |
| 799 | # Clamp position at final element index |
| 800 | if depth > self.shape[-1]: |
| 801 | depth = self.shape[-1] |
| 802 | |
| 803 | # Always round up to next boundary |
Michael McGeagh | 8d3216f | 2020-08-10 11:35:57 +0100 | [diff] [blame] | 804 | index = numeric_util.round_up_divide(depth, brick_depth) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 805 | index = index % 2 |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 806 | assert self.compressed_values is not None |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 807 | |
| 808 | if len(self.compressed_values) <= 2: |
| 809 | if is_top_box and index == 0: |
| 810 | for cv in self.compressed_values: |
| 811 | address_offset += len(cv) |
| 812 | else: |
| 813 | address_offset = index * len(self.compressed_values[0]) |
| 814 | else: |
| 815 | if is_top_box and index == 0: |
| 816 | address_offset = self.storage_shape[-1] |
| 817 | else: |
| 818 | address_offset = index * (self.storage_shape[-1] // 2) |
| 819 | else: |
| 820 | index = self.compressed_stream_index_from_coord(orig_coord) |
| 821 | assert index < len(self.weight_compressed_offsets) |
| 822 | address_offset = self.weight_compressed_offsets[index] |
| 823 | else: |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 824 | coord = orig_coord |
| 825 | if op_shape4D and self.is_standard_fm: |
| 826 | storage_shape = self.get_4D_storage_shape_for_shape(op_shape4D).as_list() |
| 827 | storage_size = self.storage_size_for_shape(storage_shape) |
| 828 | else: |
| 829 | storage_shape = self.storage_shape |
| 830 | coord = coord[-len(storage_shape) :] |
| 831 | storage_size = self.storage_size() |
| 832 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 833 | if is_top_box: |
| 834 | coord = [c - 1 for c in coord] |
| 835 | |
| 836 | # handle wraparound for partial buffers. make sure to do this after subtracting top box: |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 837 | coord = [c % storage_shape[idx] for idx, c in enumerate(coord)] |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 838 | |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 839 | strides, augmented_coord = self.get_strides_and_coord(coord, op_shape4D) |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 840 | if strides is None: |
| 841 | return None |
| 842 | |
| 843 | if is_top_box: |
| 844 | address_offset += 1 * strides[-1] # one element |
| 845 | |
| 846 | address_offset += np.dot(augmented_coord, strides) |
| 847 | |
| 848 | assert address_offset >= 0 |
Patrik Gustavsson | 3a26920 | 2021-01-21 08:28:55 +0100 | [diff] [blame] | 849 | assert address_offset <= storage_size |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 850 | return address_offset |
| 851 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 852 | def is_allocated_in_tensor_arena(self, scratch_tensor_mem_area: MemArea) -> bool: |
Michael McGeagh | f3e3ad7 | 2020-12-02 12:39:03 +0000 | [diff] [blame] | 853 | return (self.mem_area == scratch_tensor_mem_area) and (self.mem_type in (MemType.Scratch, MemType.Scratch_fast)) |
Patrik Gustavsson | eca2e95 | 2020-05-27 09:15:11 +0200 | [diff] [blame] | 854 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 855 | def equivalent(self, tens: "Tensor") -> bool: |
Louis Verhaard | 0b8268a | 2020-08-05 16:11:29 +0200 | [diff] [blame] | 856 | return self.equivalence_id == tens.equivalence_id |
| 857 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 858 | def set_all_shapes(self, shape: Shape): |
Michael McGeagh | 6a8d424 | 2020-07-28 12:17:59 +0100 | [diff] [blame] | 859 | self.shape = shape |
| 860 | self.storage_shape = shape |
| 861 | self.bandwidth_shape = shape |
| 862 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 863 | def get_full_shape(self) -> Shape: |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 864 | d = len(self.shape) |
| 865 | if d in (1, 3): |
Patrik Gustavsson | 2349d42 | 2020-12-01 16:02:29 +0100 | [diff] [blame] | 866 | return full_shape(4, self.shape, 1) |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 867 | elif d == 2: |
| 868 | return [self.shape[0], 1, 1, self.shape[1]] |
| 869 | else: |
Fredrik Svedberg | 835d8e1 | 2020-09-04 09:46:17 +0200 | [diff] [blame] | 870 | return self.shape.copy() |
Michael McGeagh | 5778ffd | 2020-08-06 17:31:02 +0100 | [diff] [blame] | 871 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 872 | def is_quantized(self) -> bool: |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 873 | # a tensor is quantized if it has an integral type and it contains valid quantization params |
| 874 | |
Tim Hall | 8956761 | 2020-10-27 11:57:57 +0000 | [diff] [blame] | 875 | if not isinstance(self.quantization, QuantizationParameters): |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 876 | return False |
| 877 | |
Tim Hall | 8956761 | 2020-10-27 11:57:57 +0000 | [diff] [blame] | 878 | return (self.dtype.type & BaseType.Int) != 0 and self.quantization.is_valid() |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 879 | |
Louis Verhaard | 6c74c3b | 2020-12-17 13:54:09 +0100 | [diff] [blame] | 880 | def __lt__(self, other: "Tensor") -> bool: |
| 881 | return self.equivalence_id < other.equivalence_id |
| 882 | |
Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 883 | def __str__(self): |
| 884 | return "<nng.Tensor '%s' shape=%s dtype=%s>" % (self.name, self.shape, self.dtype) |
| 885 | |
| 886 | __repr__ = __str__ |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 887 | |
Michael McGeagh | 528a56d | 2020-12-16 11:33:21 +0000 | [diff] [blame] | 888 | def error(self, msg): |
| 889 | """ |
| 890 | Raises a VelaError exception for errors encountered when parsing a Tensor |
| 891 | |
| 892 | :param self: Tensor object that resulted in the error |
| 893 | :param msg: str object that contains a description of the specific error encountered |
| 894 | """ |
| 895 | |
| 896 | def _print_operators(ops): |
| 897 | lines = [] |
| 898 | for idx, op in enumerate(ops): |
| 899 | op_type = getattr(op, "type", "Not an Operation") |
| 900 | op_id = getattr(op, "op_index", "-") |
| 901 | lines.append(f" {idx} = {op_type} ({op_id})") |
| 902 | return lines |
| 903 | |
| 904 | lines = [f"Invalid {self.name} tensor. {msg}"] |
| 905 | |
| 906 | lines += [" Driving operators:"] |
| 907 | lines += _print_operators(self.ops) |
| 908 | |
| 909 | lines += [" Consuming operators:"] |
| 910 | lines += _print_operators(self.consumer_list) |
| 911 | |
| 912 | raise VelaError("\n".join(lines)) |
| 913 | |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 914 | |
Louis Verhaard | 93719a9 | 2020-12-08 10:02:31 +0100 | [diff] [blame] | 915 | def check_quantized_tens_scaling_equal(tens_a: Tensor, tens_b: Tensor) -> bool: |
Tim Hall | 9358296 | 2020-09-09 21:58:15 +0100 | [diff] [blame] | 916 | # checks that the scaling of two quantized tensors are equal |
| 917 | |
Tim Hall | 8956761 | 2020-10-27 11:57:57 +0000 | [diff] [blame] | 918 | return tens_a.is_quantized() and tens_b.is_quantized() and tens_a.quantization.is_scaling_equal(tens_b.quantization) |