Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 1 | # Copyright (c) 2021-2023, ARM Limited. |
Jeremy Johnson | 5c1364c | 2022-01-13 15:04:21 +0000 | [diff] [blame] | 2 | # SPDX-License-Identifier: Apache-2.0 |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 3 | import math |
| 4 | |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 5 | import numpy as np |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 6 | from generator.tosa_utils import MAX_RESIZE_DIMENSION |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 7 | from generator.tosa_utils import product |
| 8 | from generator.tosa_utils import usableDTypes |
| 9 | from generator.tosa_utils import valueToName |
| 10 | from tosa.DType import DType |
| 11 | from tosa.Op import Op |
| 12 | from tosa.ResizeMode import ResizeMode |
Jeremy Johnson | 5c1364c | 2022-01-13 15:04:21 +0000 | [diff] [blame] | 13 | |
Matthew Haddon | e86fd34 | 2021-09-07 16:12:21 +0100 | [diff] [blame] | 14 | |
| 15 | class ErrorIf(object): |
| 16 | MaxDimExceeded = "MaxDimExceeded" |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 17 | ScaleSmallerEqualZero = "ScaleSmallerEqualZero" |
| 18 | ScaleNLargerMax = "ScaleNLargerMax" |
| 19 | ScaleDLargerMax = "ScaleDLargerMax" |
| 20 | OffsetSmallerMin = "OffsetSmallerMin" |
Matthew Haddon | e86fd34 | 2021-09-07 16:12:21 +0100 | [diff] [blame] | 21 | OffsetLargerEqualMax = "OffsetLargerEqualMax" |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 22 | BorderSmallerMin = "BorderSmallerMin" |
| 23 | BorderLargerEqualMax = "BorderLargerEqualMax" |
| 24 | ResizeOutputShapeMismatch = "ResizeOutputShapeMismatch" |
| 25 | ResizeOutputShapeNonInteger = "ResizeOutputShapeNonInteger" |
Matthew Haddon | 848efb4 | 2021-09-09 12:30:53 +0100 | [diff] [blame] | 26 | WrongInputType = "WrongInputType" |
| 27 | WrongOutputType = "WrongOutputType" |
| 28 | WrongInputList = "WrongInputList" |
| 29 | WrongOutputList = "WrongOutputList" |
| 30 | WrongRank = "WrongRank" |
Matthew Haddon | 693ba9e | 2021-09-22 11:24:37 +0100 | [diff] [blame] | 31 | BatchMismatch = "BatchMismatch" |
| 32 | ChannelMismatch = "ChannelMismatch" |
Matthew Haddon | eacff9a | 2021-09-24 14:42:13 +0100 | [diff] [blame] | 33 | RankMismatch = "RankMismatch" |
Jeremy Johnson | 7e9ac9a | 2021-11-08 18:10:51 +0000 | [diff] [blame] | 34 | DimensionMismatch = "DimensionMismatch" |
Matthew Haddon | e4ecdb2 | 2021-09-28 11:38:21 +0100 | [diff] [blame] | 35 | InputZeroPointNotZero = "InputZeroPointNotZero" |
Matthew Haddon | c4cf037 | 2021-10-11 09:38:10 +0100 | [diff] [blame] | 36 | WeightZeroPointNotZero = "WeightZeroPointNotZero" |
Matthew Haddon | e4ecdb2 | 2021-09-28 11:38:21 +0100 | [diff] [blame] | 37 | OutputZeroPointNotZero = "OutputZeroPointNotZero" |
Matthew Haddon | d6ce725 | 2021-09-29 15:35:44 +0100 | [diff] [blame] | 38 | AxisSmallerZero = "AxisSmallerZero" |
| 39 | AxisLargerRank = "AxisLargerRank" |
Matthew Haddon | c4cf037 | 2021-10-11 09:38:10 +0100 | [diff] [blame] | 40 | ArgmaxOutputShapeMismatch = "ArgmaxOutputShapeMismatch" |
| 41 | ArgmaxOutputRankMismatch = "ArgmaxOutputRankMismatch" |
Matthew Haddon | d6ce725 | 2021-09-29 15:35:44 +0100 | [diff] [blame] | 42 | ShapeOfAxisNotOne = "ShapeOfAxisNotOne" |
Matthew Haddon | b6b59e3 | 2021-10-07 17:19:20 +0100 | [diff] [blame] | 43 | KernelSmallerOne = "KernelSmallerOne" |
| 44 | StrideSmallerOne = "StrideSmallerOne" |
Les Bell | 0e027d4 | 2021-11-09 14:42:14 +0000 | [diff] [blame] | 45 | DilationSmallerOne = "DilationSmallerOne" |
Matthew Haddon | b6b59e3 | 2021-10-07 17:19:20 +0100 | [diff] [blame] | 46 | PadSmallerZero = "PadSmallerZero" |
| 47 | PadLargerEqualKernel = "PadLargerEqualKernel" |
Jeremy Johnson | d32c6da | 2022-08-24 17:09:09 +0100 | [diff] [blame] | 48 | PadOutputShapeMismatch = "PadOutputShapeMismatch" |
Matthew Haddon | b6b59e3 | 2021-10-07 17:19:20 +0100 | [diff] [blame] | 49 | PoolingOutputShapeMismatch = "PoolingOutputShapeMismatch" |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 50 | PoolingOutputShapeNonInteger = "PoolingOutputShapeNonInteger" |
| 51 | ConvOutputShapeMismatch = "ConvOutputShapeMismatch" |
| 52 | ConvOutputShapeNonInteger = "ConvOutputShapeNonInteger" |
Matthew Haddon | c202521 | 2021-10-08 21:21:05 +0100 | [diff] [blame] | 53 | ScaleNotTrue = "ScaleNotTrue" |
| 54 | ScaleTrue = "ScaleTrue" |
Matthew Haddon | e807aae | 2021-10-11 18:12:58 +0100 | [diff] [blame] | 55 | TensorSizeInputOutputMismatch = "TensorSizeInputOutputMismatch" |
| 56 | StartSmallerZero = "StartSmallerZero" |
| 57 | SizeSmallerEqualZero = "SizeSmallerEqualZero" |
| 58 | StartSizeOutsideBounds = "StartSizeOutsideBounds" |
| 59 | SizeOutputShapeMismatch = "SizeOutputShapeMismatch" |
| 60 | InputSizeStartLengthMismatch = "InputSizeStartLengthMismatch" |
| 61 | IndexOutsideBounds = "IndexOutsideBounds" |
| 62 | IndexUsedTwice = "IndexUsedTwice" |
Matthew Haddon | bb5676f | 2021-10-13 11:30:30 +0100 | [diff] [blame] | 63 | MaxSmallerMin = "MaxSmallerMin" |
| 64 | ConcatInputRankMismatch = "ConcatInputRankMismatch" |
| 65 | ConcatInputDimMismatch = "ConcatInputDimMismatch" |
Matthew Haddon | 01c359d | 2021-10-15 16:30:48 +0100 | [diff] [blame] | 66 | ConcatShapeSumMismatch = "ConcatShapeSumMismatch" |
Matthew Haddon | 630c17c | 2021-10-14 15:05:41 +0100 | [diff] [blame] | 67 | CondIfInputListThenGraphMismatch = "CondIfInputListThenGraphMismatch" |
| 68 | CondIfInputListElseGraphMismatch = "CondIfInputListElseGraphMismatch" |
| 69 | CondIfOutputListThenGraphMismatch = "CondIfOutputListThenGraphMismatch" |
| 70 | CondIfOutputListElseGraphMismatch = "CondIfOutputListElseGraphMismatch" |
| 71 | InputListOutputListMismatch = "InputListOutputListMismatch" |
| 72 | InputListCondGraphMismatch = "InputListCondGraphMismatch" |
| 73 | InputListBodyGraphInputMismatch = "InputListBodyGraphInputMismatch" |
| 74 | InputListBodyGraphOutputMismatch = "InputListBodyGraphOutputMismatch" |
| 75 | CondGraphOutputNotMatchingBool = "CondGraphOutputNotMatchingBool" |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 76 | U16InputZeroPointNotValid = "U16InputZeroPointNotValid" |
| 77 | U16OutputZeroPointNotValid = "U16OutputZeroPointNotValid" |
Jeremy Johnson | 05c711e | 2022-12-12 18:00:41 +0000 | [diff] [blame] | 78 | CondIfCondNotMatchingBool = "CondIfCondNotMatchingBool" |
| 79 | CondIfCondShapeNotSizeOne = "CondIfCondShapeNotSizeOne" |
| 80 | CondGraphOutputShapeNotSizeOne = "CondGraphOutputShapeNotSizeOne" |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 81 | KernelNotPowerOfTwo = "KernelNotPowerOfTwo" |
Luke Hutton | 5728713 | 2023-02-06 14:54:18 +0000 | [diff] [blame] | 82 | FFTInputShapeMismatch = "FFTInputShapeMismatch" |
| 83 | FFTOutputShapeMismatch = "FFTOutputShapeMismatch" |
Jerry Ge | 264f7fa | 2023-04-21 22:49:57 +0000 | [diff] [blame] | 84 | ReshapeOutputSizeMultiInference = "ReshapeOutputSizeMultiInference" |
| 85 | ReshapeOutputSizeNonInteger = "ReshapeOutputSizeNonInteger" |
Jerry Ge | 135c955 | 2023-05-23 20:59:32 +0000 | [diff] [blame] | 86 | BroadcastShapesMismatch = "BroadcastShapesMismatch" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 87 | |
| 88 | |
| 89 | class TosaErrorIfArgGen: |
| 90 | @staticmethod |
| 91 | def eiResizeErrorIf( |
| 92 | testGen, |
| 93 | error_name, |
| 94 | mode, |
| 95 | dtype, |
| 96 | shapeList, |
| 97 | outputDType, |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 98 | scale, |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 99 | offset, |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 100 | border, |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 101 | ): |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 102 | if error_name == ErrorIf.ScaleSmallerEqualZero: |
| 103 | index = testGen.randInt(low=0, high=4) |
| 104 | scale[index] = testGen.rng.choice([-2, -1, 0]) |
| 105 | elif error_name == ErrorIf.ScaleNLargerMax: |
| 106 | index = testGen.rng.choice([0, 2]) |
| 107 | scale[index] = (1 << 11) + testGen.rng.choice([1, 2, 3]) |
| 108 | elif error_name == ErrorIf.ScaleDLargerMax: |
| 109 | index = testGen.rng.choice([1, 3]) |
| 110 | scale[index] = 16 * scale[index - 1] + testGen.rng.choice([0, 1, 2]) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 111 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 112 | if error_name == ErrorIf.OffsetLargerEqualMax: |
| 113 | index = testGen.rng.choice([0, 1]) |
| 114 | offset[index] = 16 * scale[index * 2] + testGen.rng.choice([0, 1, 2]) |
| 115 | elif error_name == ErrorIf.OffsetSmallerMin: |
| 116 | index = testGen.rng.choice([0, 1]) |
| 117 | offset[index] = -scale[index * 2] - testGen.rng.choice([1, 2, 3]) |
| 118 | |
| 119 | if error_name == ErrorIf.BorderLargerEqualMax: |
| 120 | index = testGen.rng.choice([0, 1]) |
| 121 | border[index] = scale[index * 2] + testGen.rng.choice([0, 1, 2]) |
| 122 | elif error_name == ErrorIf.BorderSmallerMin: |
| 123 | index = testGen.rng.choice([0, 1]) |
| 124 | border[index] = -16 * scale[index * 2] - testGen.rng.choice([1, 2, 3]) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 125 | |
| 126 | if error_name == ErrorIf.WrongOutputType: |
| 127 | if mode == ResizeMode.NEAREST and dtype == DType.INT8: |
| 128 | incorrect_types = ( |
| 129 | DType.INT4, |
| 130 | DType.INT16, |
| 131 | DType.INT32, |
| 132 | DType.INT48, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 133 | DType.FP32, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 134 | DType.FP16, |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 135 | ) |
| 136 | elif mode == ResizeMode.NEAREST and dtype == DType.INT16: |
| 137 | incorrect_types = ( |
| 138 | DType.INT4, |
| 139 | DType.INT8, |
| 140 | DType.INT32, |
| 141 | DType.INT48, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 142 | DType.FP32, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 143 | DType.FP16, |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 144 | ) |
| 145 | elif mode == ResizeMode.BILINEAR and dtype == DType.INT8: |
| 146 | incorrect_types = ( |
| 147 | DType.INT4, |
| 148 | DType.INT8, |
| 149 | DType.INT16, |
| 150 | DType.INT48, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 151 | DType.FP32, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 152 | DType.FP16, |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 153 | ) |
| 154 | elif mode == ResizeMode.BILINEAR and dtype == DType.INT16: |
| 155 | incorrect_types = ( |
| 156 | DType.INT4, |
| 157 | DType.INT8, |
| 158 | DType.INT16, |
| 159 | DType.INT32, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 160 | DType.FP32, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 161 | DType.FP16, |
| 162 | ) |
| 163 | elif dtype == DType.FP16: |
| 164 | incorrect_types = ( |
| 165 | DType.INT4, |
| 166 | DType.INT8, |
| 167 | DType.INT16, |
| 168 | DType.INT32, |
| 169 | DType.INT48, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 170 | DType.FP32, |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 171 | ) |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 172 | elif dtype == DType.BF16: |
| 173 | incorrect_types = ( |
| 174 | DType.INT4, |
| 175 | DType.INT8, |
| 176 | DType.INT16, |
| 177 | DType.INT32, |
| 178 | DType.INT48, |
| 179 | DType.FP32, |
| 180 | ) |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 181 | elif dtype == DType.FP32: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 182 | incorrect_types = ( |
| 183 | DType.INT4, |
| 184 | DType.INT8, |
| 185 | DType.INT16, |
| 186 | DType.INT32, |
| 187 | DType.INT48, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 188 | DType.FP16, |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 189 | ) |
| 190 | outputDType = testGen.rng.choice(a=incorrect_types) |
| 191 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 192 | return scale, offset, border, outputDType |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 193 | |
| 194 | @staticmethod |
| 195 | def eiPoolingErrorIf(testGen, error_name, stride, pad, kernel): |
| 196 | if ( |
| 197 | error_name == ErrorIf.StrideSmallerOne |
| 198 | # padding must not exceed the kernel size |
| 199 | and pad[0] < kernel[0] |
| 200 | and pad[1] < kernel[0] |
| 201 | and pad[2] < kernel[1] |
| 202 | and pad[3] < kernel[1] |
| 203 | ): |
| 204 | wrongStride = ( |
| 205 | testGen.rng.choice([0, -1, -2, -3]), |
| 206 | testGen.rng.choice([0, -1, -2, -3]), |
| 207 | ) |
| 208 | return wrongStride, pad, kernel |
| 209 | elif error_name == ErrorIf.PadSmallerZero: |
| 210 | wrongPad = ( |
| 211 | testGen.rng.choice([-1, -2, -3]), |
| 212 | testGen.rng.choice([-1, -2, -3]), |
| 213 | testGen.rng.choice([-1, -2, -3]), |
| 214 | testGen.rng.choice([-1, -2, -3]), |
| 215 | ) |
| 216 | return stride, wrongPad, kernel |
| 217 | elif error_name == ErrorIf.KernelSmallerOne: |
| 218 | wrongKernel = ( |
| 219 | testGen.rng.choice([0, -1, -2, -3]), |
| 220 | testGen.rng.choice([0, -1, -2, -3]), |
| 221 | ) |
| 222 | return stride, pad, wrongKernel |
| 223 | elif error_name == ErrorIf.PadLargerEqualKernel: |
| 224 | wrongPad = ( |
| 225 | testGen.rng.choice([kernel[0], kernel[0] + 1, kernel[0] + 2]), |
| 226 | testGen.rng.choice([kernel[0], kernel[0] + 1, kernel[0] + 2]), |
| 227 | testGen.rng.choice([kernel[1], kernel[1] + 1, kernel[1] + 2]), |
| 228 | testGen.rng.choice([kernel[1], kernel[1] + 1, kernel[1] + 2]), |
| 229 | ) |
| 230 | return stride, wrongPad, kernel |
| 231 | else: |
| 232 | return None, None, None |
| 233 | |
| 234 | @staticmethod |
| 235 | def eiRescaleWrongOutputType(input_dtype, output_dtype): |
| 236 | if input_dtype == DType.INT8: |
| 237 | if output_dtype not in [DType.UINT8, DType.INT8, DType.INT16, DType.INT32]: |
| 238 | return True |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 239 | elif input_dtype == DType.INT16: |
| 240 | if output_dtype not in [ |
| 241 | DType.UINT8, |
| 242 | DType.INT8, |
| 243 | DType.UINT16, |
| 244 | DType.INT16, |
| 245 | DType.INT32, |
| 246 | ]: |
| 247 | return True |
| 248 | elif input_dtype == DType.INT32: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 249 | if output_dtype not in [DType.INT8, DType.INT16, DType.INT32]: |
| 250 | return True |
| 251 | elif input_dtype == DType.INT48: |
| 252 | if output_dtype not in [DType.INT8, DType.INT16, DType.INT32]: |
| 253 | return True |
| 254 | elif input_dtype == DType.UINT8: |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 255 | if output_dtype not in [DType.INT8, DType.INT16]: |
| 256 | return True |
| 257 | elif input_dtype == DType.UINT16: |
| 258 | if output_dtype != DType.INT16: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 259 | return True |
| 260 | return False |
| 261 | |
| 262 | @staticmethod |
| 263 | def eiInvalidateInputOutputList(testGen, error_name, input_list, output_list): |
| 264 | # Mess up input/output tensors for ERROR_IF checks |
| 265 | if error_name == "WrongInputList": |
| 266 | add_input = testGen.rng.choice([True, False]) |
| 267 | if add_input: |
| 268 | input_list.append("eiDummyInput") |
| 269 | else: |
| 270 | input_list = input_list[:-1] |
| 271 | elif error_name == "WrongOutputList": |
| 272 | add_output = testGen.rng.choice([True, False]) |
| 273 | if add_output: |
| 274 | output_list.append("eiDummyOutput") |
| 275 | else: |
| 276 | output_list = [] |
| 277 | return input_list, output_list |
| 278 | |
| 279 | @staticmethod |
| 280 | def eiRestrictDimensions(shape, max_dim=32, max_items=100000): |
| 281 | """Restrict the dimensions and overall size of a shape to |
| 282 | max_dim and max_items. |
| 283 | """ |
| 284 | new_shape = [min(d, max_dim) for d in shape] if max(shape) > max_dim else shape |
| 285 | while product(new_shape) > max_items: |
| 286 | new_shape = [max(d - 1, 1) for d in new_shape] |
| 287 | return new_shape |
| 288 | |
| 289 | def eiSliceErrorIf(testGen, error_name, input_shape, start, size): |
| 290 | if error_name == ErrorIf.StartSmallerZero: |
| 291 | newStart = [] |
| 292 | for i in range(len(input_shape)): |
| 293 | newStart.append(testGen.rng.choice([-3, -2, -1])) |
| 294 | return newStart, size |
| 295 | elif error_name == ErrorIf.SizeSmallerEqualZero: |
| 296 | newSize = [] |
| 297 | for i in range(len(input_shape)): |
| 298 | newSize.append(testGen.rng.choice([-3, -2, -1, 0])) |
| 299 | return start, newSize |
| 300 | elif error_name == ErrorIf.StartSizeOutsideBounds: |
| 301 | newStart, newSize = [], [] |
| 302 | for i in range(len(input_shape)): |
| 303 | newStart.append(input_shape[i] - 1) |
| 304 | newSize.append(testGen.rng.choice([2, 3, 4])) |
| 305 | return newStart, newSize |
| 306 | elif error_name == ErrorIf.InputSizeStartLengthMismatch: |
| 307 | remove = testGen.rng.choice([True, False]) |
| 308 | if remove: |
| 309 | newStart = start[1:] |
| 310 | newSize = size[1:] |
| 311 | else: |
| 312 | newStart = start |
| 313 | newStart.append(1) |
| 314 | newSize = size |
| 315 | newSize.append(1) |
| 316 | return newStart, newSize |
| 317 | else: |
| 318 | return start, size |
| 319 | |
| 320 | @staticmethod |
| 321 | def eiCastErrorIf(testGen, input_dtype): |
James Ward | 736fd1a | 2023-01-23 17:13:37 +0000 | [diff] [blame] | 322 | if input_dtype in [DType.BOOL, DType.FP32]: |
| 323 | outputDType = [DType.BOOL, DType.INT48, DType.FP32] |
| 324 | elif input_dtype in [DType.FP16, DType.BF16]: |
| 325 | outputDType = [DType.BOOL, DType.INT48] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 326 | elif input_dtype in [DType.INT8, DType.INT16, DType.INT32]: |
| 327 | outputDType = [DType.INT48] |
| 328 | else: |
James Ward | 736fd1a | 2023-01-23 17:13:37 +0000 | [diff] [blame] | 329 | assert False, f"input_dtype ({input_dtype}) not supported" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 330 | return outputDType |
| 331 | |
| 332 | |
| 333 | class TosaErrorValidator: |
| 334 | @staticmethod |
| 335 | def evValidateErrorIfs(serializer, validator_fcns, error_name, **kwargs): |
| 336 | """Check ERROR_IF statements are caught and set the expected result. |
| 337 | |
| 338 | Args: |
| 339 | serializer: the serializer to set the expected result in |
| 340 | validator_fcns: a sequence of validator functions to verify the result |
| 341 | error_name: the name of the ERROR_IF condition to check for |
| 342 | kwargs: keyword arguments for the validator functions |
| 343 | Returns: |
| 344 | True if the result matches the expected result; otherwise False |
| 345 | """ |
Jeremy Johnson | 2d70ac4 | 2023-11-06 17:46:02 +0000 | [diff] [blame] | 346 | if validator_fcns is None: |
| 347 | # Nothing to do |
| 348 | return True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 349 | overall_result = True |
| 350 | for val_fcn in validator_fcns: |
| 351 | val_result = val_fcn(True, **kwargs) |
| 352 | validator_name = val_result["error_name"] |
| 353 | error_result = val_result["error_result"] |
| 354 | error_reason = val_result["error_reason"] |
| 355 | |
| 356 | # expect an error IFF the error_name and validator_name match |
| 357 | expected_result = error_result == (error_name == validator_name) |
| 358 | overall_result &= expected_result |
| 359 | |
| 360 | if expected_result and error_result: |
| 361 | serializer.setExpectedReturnCode(2, True, desc=error_reason) |
| 362 | elif error_result: # and not expected_result |
| 363 | print( |
| 364 | f"Unexpected ERROR_IF: Op: {valueToName(Op, kwargs['op']['op'])}" |
| 365 | f" Expected: {error_name}, Got: {validator_name}" |
| 366 | ) |
| 367 | elif not expected_result: # and not error_result |
| 368 | print( |
| 369 | f"Missed ERROR_IF: Op: {valueToName(Op, kwargs['op']['op'])}" |
| 370 | f" Expected: {error_name}" |
| 371 | ) |
| 372 | |
| 373 | if not expected_result: |
| 374 | for k, v in sorted(kwargs.items()): |
| 375 | if k != "op": |
| 376 | if k.endswith("dtype"): |
| 377 | v = valueToName(DType, v) |
| 378 | print(f" {k} = {v}") |
| 379 | |
| 380 | return overall_result |
| 381 | |
| 382 | @staticmethod |
| 383 | def evWrongInputType(check=False, **kwargs): |
| 384 | error_result = False |
| 385 | |
| 386 | # Find the unsupported input data types |
| 387 | op = kwargs["op"] |
| 388 | input_dtypes = op["types"] |
| 389 | allowed_input_dtypes = { |
| 390 | t[0] if isinstance(t, list) else t for t in input_dtypes |
| 391 | } |
| 392 | wrong_input_dtypes = list(usableDTypes(excludes=allowed_input_dtypes)) |
| 393 | |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 394 | # Turn the wrong dtypes into required list of types |
| 395 | if op["op"] in [ |
| 396 | Op.FULLY_CONNECTED, |
| 397 | Op.CONV2D, |
| 398 | Op.CONV3D, |
| 399 | Op.DEPTHWISE_CONV2D, |
| 400 | Op.TRANSPOSE_CONV2D, |
| 401 | ]: |
| 402 | wrong_input_dtypes = [[t, t, t] for t in wrong_input_dtypes] |
| 403 | |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 404 | if op["op"] == Op.CLAMP: |
| 405 | wrong_input_dtypes.remove(DType.INT48) |
| 406 | |
| 407 | if check: |
| 408 | input_dtype = kwargs["input_dtype"] |
| 409 | if input_dtype not in allowed_input_dtypes: |
| 410 | error_result = True |
| 411 | |
| 412 | info_dict = { |
| 413 | "error_name": ErrorIf.WrongInputType, |
| 414 | "error_result": error_result, |
| 415 | "error_reason": "Input data type not supported for this operator", |
| 416 | "param_reqs": {"rank": None, "dtype": wrong_input_dtypes, "shape": None}, |
| 417 | } |
| 418 | return info_dict |
| 419 | |
| 420 | @staticmethod |
| 421 | def evWrongOutputType(check=False, **kwargs): |
| 422 | error_result = False |
| 423 | |
| 424 | if check: |
| 425 | input_dtype = kwargs["input_dtype"] |
| 426 | output_dtype = kwargs["output_dtype"] |
| 427 | op = kwargs["op"] |
| 428 | |
| 429 | if op["op"] == Op.RESIZE: |
| 430 | mode = kwargs["mode"] |
| 431 | if ( |
| 432 | ( |
| 433 | mode == ResizeMode.NEAREST |
| 434 | and input_dtype == DType.INT8 |
| 435 | and output_dtype != DType.INT8 |
| 436 | ) |
| 437 | or ( |
| 438 | mode == ResizeMode.NEAREST |
| 439 | and input_dtype == DType.INT16 |
| 440 | and output_dtype != DType.INT16 |
| 441 | ) |
| 442 | or ( |
| 443 | mode == ResizeMode.BILINEAR |
| 444 | and input_dtype == DType.INT8 |
| 445 | and output_dtype != DType.INT32 |
| 446 | ) |
| 447 | or ( |
| 448 | mode == ResizeMode.BILINEAR |
| 449 | and input_dtype == DType.INT16 |
| 450 | and output_dtype != DType.INT48 |
| 451 | ) |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 452 | or (input_dtype == DType.FP16 and output_dtype != DType.FP16) |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 453 | or (input_dtype == DType.BF16 and output_dtype != DType.BF16) |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 454 | or (input_dtype == DType.FP32 and output_dtype != DType.FP32) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 455 | ): |
| 456 | error_result = True |
| 457 | |
| 458 | elif op["op"] == Op.RESCALE: |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 459 | error_result = TosaErrorIfArgGen.eiRescaleWrongOutputType( |
| 460 | input_dtype, output_dtype |
| 461 | ) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 462 | |
| 463 | elif op["op"] in [Op.FULLY_CONNECTED, Op.MATMUL]: |
| 464 | if ( |
| 465 | (input_dtype == DType.INT8 and output_dtype != DType.INT32) |
| 466 | or (input_dtype == DType.INT16 and output_dtype != DType.INT48) |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 467 | or ( |
| 468 | input_dtype == DType.FP16 |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 469 | and output_dtype not in (DType.FP16, DType.FP32) |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 470 | ) |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 471 | or (input_dtype == DType.BF16 and output_dtype != DType.FP32) |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 472 | or (input_dtype == DType.FP32 and output_dtype != DType.FP32) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 473 | ): |
| 474 | error_result = True |
| 475 | |
| 476 | elif op["op"] == Op.ARGMAX: |
| 477 | if ( |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 478 | input_dtype |
| 479 | in [DType.INT8, DType.INT16, DType.FP16, DType.BF16, DType.FP32] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 480 | and output_dtype != DType.INT32 |
| 481 | ): |
| 482 | error_result = True |
| 483 | |
| 484 | elif op["op"] == Op.MUL: |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 485 | if ( |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 486 | input_dtype not in (DType.FP16, DType.BF16, DType.FP32) |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 487 | and output_dtype != DType.INT32 |
| 488 | ): |
| 489 | error_result = True |
| 490 | elif input_dtype == DType.FP16 and output_dtype != DType.FP16: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 491 | error_result = True |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 492 | elif input_dtype == DType.BF16 and output_dtype != DType.BF16: |
| 493 | error_result = True |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 494 | elif input_dtype == DType.FP32 and output_dtype != DType.FP32: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 495 | error_result = True |
| 496 | |
| 497 | elif op["op"] == Op.TABLE: |
| 498 | if input_dtype == DType.INT8 and output_dtype != DType.INT8: |
| 499 | error_result = True |
| 500 | elif input_dtype == DType.INT16 and output_dtype != DType.INT32: |
| 501 | error_result = True |
| 502 | |
| 503 | elif op["op"] in [Op.EQUAL, Op.GREATER_EQUAL, Op.GREATER]: |
| 504 | if output_dtype != DType.BOOL: |
| 505 | error_result = True |
| 506 | |
| 507 | elif op["op"] == Op.CAST: |
| 508 | if ( |
| 509 | ( |
| 510 | input_dtype == DType.BOOL |
| 511 | and output_dtype not in [DType.INT8, DType.INT16, DType.INT32] |
| 512 | ) |
| 513 | or ( |
| 514 | input_dtype == DType.INT8 |
| 515 | and output_dtype |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 516 | not in [ |
| 517 | DType.BOOL, |
| 518 | DType.INT16, |
| 519 | DType.INT32, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 520 | DType.FP32, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 521 | DType.FP16, |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 522 | DType.BF16, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 523 | ] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 524 | ) |
| 525 | or ( |
| 526 | input_dtype == DType.INT16 |
| 527 | and output_dtype |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 528 | not in [ |
| 529 | DType.BOOL, |
| 530 | DType.INT8, |
| 531 | DType.INT32, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 532 | DType.FP32, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 533 | DType.FP16, |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 534 | DType.BF16, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 535 | ] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 536 | ) |
| 537 | or ( |
| 538 | input_dtype == DType.INT32 |
| 539 | and output_dtype |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 540 | not in [ |
| 541 | DType.BOOL, |
| 542 | DType.INT8, |
| 543 | DType.INT16, |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 544 | DType.FP32, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 545 | DType.FP16, |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 546 | DType.BF16, |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 547 | ] |
| 548 | ) |
| 549 | or ( |
| 550 | input_dtype == DType.FP16 |
James Ward | 736fd1a | 2023-01-23 17:13:37 +0000 | [diff] [blame] | 551 | and output_dtype |
| 552 | not in [DType.INT8, DType.INT16, DType.INT32, DType.FP32] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 553 | ) |
| 554 | or ( |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 555 | input_dtype == DType.BF16 |
James Ward | 736fd1a | 2023-01-23 17:13:37 +0000 | [diff] [blame] | 556 | and output_dtype |
| 557 | not in [DType.INT8, DType.INT16, DType.INT32, DType.FP32] |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 558 | ) |
| 559 | or ( |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 560 | input_dtype == DType.FP32 |
James Ward | 736fd1a | 2023-01-23 17:13:37 +0000 | [diff] [blame] | 561 | and output_dtype |
| 562 | not in [ |
| 563 | DType.INT8, |
| 564 | DType.INT16, |
| 565 | DType.INT32, |
| 566 | DType.FP16, |
| 567 | DType.BF16, |
| 568 | ] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 569 | ) |
| 570 | ): |
| 571 | error_result = True |
| 572 | |
Luke Hutton | 5728713 | 2023-02-06 14:54:18 +0000 | [diff] [blame] | 573 | elif op["op"] in [Op.FFT2D, Op.RFFT2D]: |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 574 | if not all([ty == input_dtype for ty in output_dtype]): |
| 575 | error_result = True |
| 576 | |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 577 | elif op["op"] in { |
| 578 | Op.CONV2D, |
| 579 | Op.CONV3D, |
| 580 | Op.DEPTHWISE_CONV2D, |
| 581 | Op.TRANSPOSE_CONV2D, |
| 582 | }: |
| 583 | if ( |
| 584 | input_dtype == DType.INT8 |
| 585 | and output_dtype != DType.INT32 |
| 586 | or input_dtype == DType.INT16 |
| 587 | and output_dtype != DType.INT48 |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 588 | or input_dtype == DType.FP16 |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 589 | and output_dtype not in (DType.FP16, DType.FP32) |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 590 | or input_dtype == DType.BF16 |
| 591 | and output_dtype != DType.FP32 |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 592 | or input_dtype == DType.FP32 |
| 593 | and output_dtype != DType.FP32 |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 594 | ): |
| 595 | error_result = True |
| 596 | # invalid input types are ignored, to avoid reporting multiple errors |
| 597 | |
| 598 | else: |
| 599 | if output_dtype != input_dtype: |
| 600 | error_result = True |
| 601 | |
| 602 | info_dict = { |
| 603 | "error_name": ErrorIf.WrongOutputType, |
| 604 | "error_result": error_result, |
| 605 | "error_reason": ( |
| 606 | "Output data type not supported for this configuration of operator" |
| 607 | ), |
| 608 | "param_reqs": {"rank": None, "dtype": None, "shape": None}, |
| 609 | } |
| 610 | return info_dict |
| 611 | |
| 612 | @staticmethod |
| 613 | def evWrongRank(check=False, **kwargs): |
| 614 | all_ranks = (1, 2, 3, 4, 5) |
| 615 | |
| 616 | # Make a list of incorrect ranks |
| 617 | assert "op" in kwargs |
| 618 | op = kwargs["op"] |
| 619 | rmin, rmax = op["rank"] |
| 620 | rank_range = range(rmin, rmax + 1) |
| 621 | incorrect_ranks = list(set(all_ranks) - set(rank_range)) |
| 622 | # Remove small incorrect ranks to avoid index errors |
| 623 | incorrect_ranks = [rank for rank in incorrect_ranks if rank > rmin] |
| 624 | # Set minimum incorrect rank to 3 to avoid index error |
| 625 | if op["op"] in [Op.RESIZE]: |
| 626 | incorrect_ranks = [3, 5] |
| 627 | elif op["op"] in [Op.TRANSPOSE]: |
| 628 | incorrect_ranks = [7, 8] |
| 629 | elif op["op"] in [Op.CONV3D]: |
| 630 | incorrect_ranks = [6, 7] |
| 631 | |
| 632 | error_name = ErrorIf.WrongRank |
| 633 | param_reqs = {"rank": incorrect_ranks, "dtype": None, "shape": None} |
| 634 | error_result = False |
| 635 | error_reason = "Rank not supported for this operator" |
| 636 | |
| 637 | if check: |
| 638 | input_shape = kwargs["input_shape"] |
| 639 | |
| 640 | if ( |
| 641 | op["op"] in [Op.RESIZE, Op.AVG_POOL2D, Op.MAX_POOL2D] |
| 642 | and len(input_shape) != 4 |
| 643 | ): |
| 644 | error_result = True |
| 645 | elif op["op"] == Op.FULLY_CONNECTED and len(input_shape) != 2: |
| 646 | error_result = True |
| 647 | elif op["op"] == Op.MATMUL and len(input_shape) != 3: |
| 648 | error_result = True |
| 649 | else: |
| 650 | if len(input_shape) not in rank_range: |
| 651 | error_result = True |
| 652 | |
| 653 | info_dict = { |
| 654 | "error_name": error_name, |
| 655 | "error_result": error_result, |
| 656 | "error_reason": error_reason, |
| 657 | "param_reqs": param_reqs, |
| 658 | } |
| 659 | return info_dict |
| 660 | |
| 661 | @staticmethod |
| 662 | def evWrongInputList(check=False, **kwargs): |
| 663 | error_name = ErrorIf.WrongInputList |
| 664 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 665 | error_result = False |
| 666 | error_reason = "Op input list does not match expected input" |
| 667 | |
| 668 | if check: |
| 669 | op = kwargs["op"] |
| 670 | input_list = kwargs["input_list"] |
| 671 | num_operands = kwargs["num_operands"] |
| 672 | if op["op"] in [Op.SCATTER, Op.GATHER]: |
| 673 | # SCATTER/GATHER add an indices input tensor in their build functions |
| 674 | num_operands += 1 |
| 675 | if len(input_list) != num_operands: |
| 676 | error_result = True |
| 677 | |
| 678 | info_dict = { |
| 679 | "error_name": error_name, |
| 680 | "error_result": error_result, |
| 681 | "error_reason": error_reason, |
| 682 | "param_reqs": param_reqs, |
| 683 | } |
| 684 | return info_dict |
| 685 | |
| 686 | @staticmethod |
| 687 | def evWrongOutputList(check=False, **kwargs): |
| 688 | error_name = ErrorIf.WrongOutputList |
| 689 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 690 | error_result = False |
| 691 | error_reason = "Op output list does not match expected output" |
| 692 | |
| 693 | if check: |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 694 | op = kwargs["op"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 695 | output_list = kwargs["output_list"] |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 696 | expected_length = 1 |
Luke Hutton | 5728713 | 2023-02-06 14:54:18 +0000 | [diff] [blame] | 697 | if op["op"] in [Op.FFT2D, Op.RFFT2D]: |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 698 | expected_length = 2 |
| 699 | |
| 700 | if len(output_list) != expected_length: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 701 | error_result = True |
| 702 | |
| 703 | info_dict = { |
| 704 | "error_name": error_name, |
| 705 | "error_result": error_result, |
| 706 | "error_reason": error_reason, |
| 707 | "param_reqs": param_reqs, |
| 708 | } |
| 709 | return info_dict |
| 710 | |
| 711 | @staticmethod |
| 712 | def evMaxDimExceeded(check=False, **kwargs): |
| 713 | error_name = ErrorIf.MaxDimExceeded |
| 714 | param_reqs = { |
| 715 | "rank": [4, 4], |
| 716 | "dtype": [DType.INT8], |
| 717 | "shape": [[1, 16584, 5, 1], [1, 2, 16499, 4]], |
| 718 | } |
| 719 | error_result = False |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 720 | error_reason = f"At least one maximum dimension is greater than or equal to {MAX_RESIZE_DIMENSION}" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 721 | |
| 722 | if check: |
| 723 | input_shape = kwargs["input_shape"] |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 724 | output_shape = kwargs["output_shape"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 725 | if ( |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 726 | (input_shape[1] >= MAX_RESIZE_DIMENSION) |
| 727 | or (input_shape[2] >= MAX_RESIZE_DIMENSION) |
| 728 | or (output_shape[1] >= MAX_RESIZE_DIMENSION) |
| 729 | or (output_shape[2] >= MAX_RESIZE_DIMENSION) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 730 | ): |
| 731 | error_result = True |
| 732 | |
| 733 | info_dict = { |
| 734 | "error_name": error_name, |
| 735 | "error_result": error_result, |
| 736 | "error_reason": error_reason, |
| 737 | "param_reqs": param_reqs, |
| 738 | } |
| 739 | return info_dict |
| 740 | |
| 741 | @staticmethod |
| 742 | def evBatchMismatch(check=False, **kwargs): |
| 743 | error_name = ErrorIf.BatchMismatch |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 744 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 745 | error_result = False |
| 746 | error_reason = "Input batch size not equal to output batch size" |
| 747 | |
| 748 | assert "op" in kwargs |
| 749 | op = kwargs["op"] |
| 750 | rmin, rmax = op["rank"] |
| 751 | rank_range = range(rmin, rmax + 1) |
| 752 | |
| 753 | if check: |
| 754 | input_shape = kwargs["input_shape"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 755 | |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 756 | for output in kwargs["result_tensors"]: |
| 757 | output_shape = ( |
| 758 | output.shape |
| 759 | ) # Note batch is expected to be the first dim |
| 760 | if (len(input_shape) in rank_range) and ( |
| 761 | input_shape[0] != output_shape[0] |
| 762 | ): |
| 763 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 764 | |
| 765 | info_dict = { |
| 766 | "error_name": error_name, |
| 767 | "error_result": error_result, |
| 768 | "error_reason": error_reason, |
| 769 | "param_reqs": param_reqs, |
| 770 | } |
| 771 | return info_dict |
| 772 | |
| 773 | @staticmethod |
| 774 | def evChannelMismatch(check=False, **kwargs): |
| 775 | error_name = ErrorIf.ChannelMismatch |
| 776 | param_reqs = {"rank": [4, 4], "dtype": None, "shape": None} |
| 777 | error_result = False |
| 778 | error_reason = "Input channel size not equal to output channel size" |
| 779 | |
| 780 | assert "op" in kwargs |
| 781 | op = kwargs["op"] |
| 782 | rmin, rmax = op["rank"] |
| 783 | rank_range = range(rmin, rmax + 1) |
| 784 | |
| 785 | if check: |
| 786 | input_shape = kwargs["input_shape"] |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 787 | for output in kwargs["result_tensors"]: |
| 788 | output_shape = output.shape # Note this is just (N, OH, OW, C) |
| 789 | if (len(input_shape) in rank_range) and ( |
| 790 | input_shape[3] != output_shape[3] |
| 791 | ): |
| 792 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 793 | |
| 794 | info_dict = { |
| 795 | "error_name": error_name, |
| 796 | "error_result": error_result, |
| 797 | "error_reason": error_reason, |
| 798 | "param_reqs": param_reqs, |
| 799 | } |
| 800 | return info_dict |
| 801 | |
| 802 | @staticmethod |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 803 | def evScaleSmallerEqualZero(check=False, **kwargs): |
| 804 | error_name = ErrorIf.ScaleSmallerEqualZero |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 805 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 806 | error_result = False |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 807 | error_reason = "Scale value smaller than or equal zero" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 808 | |
| 809 | if check: |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 810 | scale = kwargs["scale"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 811 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 812 | if min(scale) <= 0: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 813 | error_result = True |
| 814 | |
| 815 | info_dict = { |
| 816 | "error_name": error_name, |
| 817 | "error_result": error_result, |
| 818 | "error_reason": error_reason, |
| 819 | "param_reqs": param_reqs, |
| 820 | } |
| 821 | return info_dict |
| 822 | |
| 823 | @staticmethod |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 824 | def evScaleNLargerMax(check=False, **kwargs): |
| 825 | error_name = ErrorIf.ScaleNLargerMax |
| 826 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 827 | error_result = False |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 828 | error_reason = "Scale N value larger than maximum value" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 829 | |
| 830 | if check: |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 831 | scale = kwargs["scale"] |
| 832 | |
| 833 | if scale[0] > (1 << 11) or scale[2] > (1 << 11): |
| 834 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 835 | |
| 836 | info_dict = { |
| 837 | "error_name": error_name, |
| 838 | "error_result": error_result, |
| 839 | "error_reason": error_reason, |
| 840 | "param_reqs": param_reqs, |
| 841 | } |
| 842 | return info_dict |
| 843 | |
| 844 | @staticmethod |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 845 | def evScaleDLargerMax(check=False, **kwargs): |
| 846 | error_name = ErrorIf.ScaleDLargerMax |
| 847 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 848 | error_result = False |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 849 | error_reason = "Scale D value larger than maximum value" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 850 | |
| 851 | if check: |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 852 | scale = kwargs["scale"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 853 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 854 | if (scale[0] > 0 and scale[1] >= (16 * scale[0])) or ( |
| 855 | scale[2] > 0 and scale[3] >= (16 * scale[2]) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 856 | ): |
| 857 | error_result = True |
| 858 | |
| 859 | info_dict = { |
| 860 | "error_name": error_name, |
| 861 | "error_result": error_result, |
| 862 | "error_reason": error_reason, |
| 863 | "param_reqs": param_reqs, |
| 864 | } |
| 865 | return info_dict |
| 866 | |
| 867 | @staticmethod |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 868 | def evOffsetSmallerMin(check=False, **kwargs): |
| 869 | error_name = ErrorIf.OffsetSmallerMin |
| 870 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 871 | error_result = False |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 872 | error_reason = "Offset value smaller than minimum value" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 873 | |
| 874 | if check: |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 875 | scale = kwargs["scale"] |
| 876 | offset = kwargs["offset"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 877 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 878 | if scale[0] > 0 and scale[0] <= (1 << 11) and (offset[0] < -scale[0]): |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 879 | error_result = True |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 880 | elif scale[2] > 0 and scale[2] <= (1 << 11) and (offset[1] < -scale[2]): |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 881 | error_result = True |
| 882 | |
| 883 | info_dict = { |
| 884 | "error_name": error_name, |
| 885 | "error_result": error_result, |
| 886 | "error_reason": error_reason, |
| 887 | "param_reqs": param_reqs, |
| 888 | } |
| 889 | return info_dict |
| 890 | |
| 891 | @staticmethod |
| 892 | def evOffsetLargerEqualMax(check=False, **kwargs): |
| 893 | error_name = ErrorIf.OffsetLargerEqualMax |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 894 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 895 | error_result = False |
| 896 | error_reason = "Offset value larger than or equal to maximum value" |
| 897 | |
| 898 | if check: |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 899 | scale = kwargs["scale"] |
| 900 | offset = kwargs["offset"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 901 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 902 | if scale[0] > 0 and scale[0] <= (1 << 11) and (offset[0] >= 16 * scale[0]): |
| 903 | error_result = True |
| 904 | elif ( |
| 905 | scale[2] > 0 and scale[2] <= (1 << 11) and (offset[1] >= 16 * scale[2]) |
| 906 | ): |
| 907 | error_result = True |
| 908 | |
| 909 | info_dict = { |
| 910 | "error_name": error_name, |
| 911 | "error_result": error_result, |
| 912 | "error_reason": error_reason, |
| 913 | "param_reqs": param_reqs, |
| 914 | } |
| 915 | return info_dict |
| 916 | |
| 917 | @staticmethod |
| 918 | def evBorderSmallerMin(check=False, **kwargs): |
| 919 | error_name = ErrorIf.BorderSmallerMin |
| 920 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 921 | error_result = False |
| 922 | error_reason = "Border value smaller than minimum value" |
| 923 | |
| 924 | if check: |
| 925 | scale = kwargs["scale"] |
| 926 | border = kwargs["border"] |
| 927 | |
| 928 | if ( |
| 929 | scale[0] > 0 |
| 930 | and scale[0] <= (1 << 11) |
| 931 | and (border[0] < (-16 * scale[0])) |
| 932 | ): |
| 933 | error_result = True |
| 934 | elif ( |
| 935 | scale[2] > 0 |
| 936 | and scale[2] <= (1 << 11) |
| 937 | and (border[1] < (-16 * scale[2])) |
| 938 | ): |
| 939 | error_result = True |
| 940 | |
| 941 | info_dict = { |
| 942 | "error_name": error_name, |
| 943 | "error_result": error_result, |
| 944 | "error_reason": error_reason, |
| 945 | "param_reqs": param_reqs, |
| 946 | } |
| 947 | return info_dict |
| 948 | |
| 949 | @staticmethod |
| 950 | def evBorderLargerEqualMax(check=False, **kwargs): |
| 951 | error_name = ErrorIf.BorderLargerEqualMax |
| 952 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 953 | error_result = False |
| 954 | error_reason = "Border value larger than or equal to maximum value" |
| 955 | |
| 956 | if check: |
| 957 | scale = kwargs["scale"] |
| 958 | border = kwargs["border"] |
| 959 | |
| 960 | if scale[0] > 0 and scale[0] <= (1 << 11) and (border[0] >= scale[0]): |
| 961 | error_result = True |
| 962 | elif scale[2] > 0 and scale[2] <= (1 << 11) and (border[1] >= scale[2]): |
| 963 | error_result = True |
| 964 | |
| 965 | info_dict = { |
| 966 | "error_name": error_name, |
| 967 | "error_result": error_result, |
| 968 | "error_reason": error_reason, |
| 969 | "param_reqs": param_reqs, |
| 970 | } |
| 971 | return info_dict |
| 972 | |
| 973 | @staticmethod |
| 974 | def checkResizeParams(scale, offset, border): |
| 975 | return ( |
| 976 | min(scale) > 0 |
| 977 | and max(scale[0], scale[2]) <= (1 << 11) |
| 978 | and scale[1] < 16 * scale[0] |
| 979 | and scale[3] < 16 * scale[2] |
| 980 | and offset[0] >= -scale[0] |
| 981 | and offset[1] >= -scale[2] |
| 982 | and offset[0] < 16 * scale[0] |
| 983 | and offset[1] < 16 * scale[2] |
| 984 | and border[0] >= -16 * scale[0] |
| 985 | and border[1] >= -16 * scale[2] |
| 986 | and border[0] < scale[0] |
| 987 | and border[1] < scale[2] |
| 988 | ) |
| 989 | |
| 990 | @staticmethod |
| 991 | def evResizeOutputShapeMismatch(check=False, **kwargs): |
| 992 | error_name = ErrorIf.ResizeOutputShapeMismatch |
| 993 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 994 | error_result = False |
| 995 | error_reason = ( |
| 996 | "Mismatch between output shape provided and expected output shape" |
| 997 | ) |
| 998 | |
| 999 | if check: |
| 1000 | input_shape = kwargs["input_shape"] |
| 1001 | output_shape = kwargs["output_shape"] |
| 1002 | scale = kwargs["scale"] |
| 1003 | offset = kwargs["offset"] |
| 1004 | border = kwargs["border"] |
| 1005 | |
| 1006 | # Ensure parameters are valid |
| 1007 | params_valid = TosaErrorValidator.checkResizeParams(scale, offset, border) |
| 1008 | |
| 1009 | if ( |
| 1010 | params_valid |
| 1011 | and max(output_shape) < MAX_RESIZE_DIMENSION |
| 1012 | and max(input_shape) < MAX_RESIZE_DIMENSION |
| 1013 | ): |
| 1014 | output_y = ( |
| 1015 | (input_shape[1] - 1) * scale[0] - offset[0] + border[0] |
| 1016 | ) // scale[1] + 1 |
| 1017 | output_x = ( |
| 1018 | (input_shape[2] - 1) * scale[2] - offset[1] + border[1] |
| 1019 | ) // scale[3] + 1 |
| 1020 | |
| 1021 | if [output_y, output_x] != output_shape[1:-1]: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1022 | error_result = True |
| 1023 | |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1024 | info_dict = { |
| 1025 | "error_name": error_name, |
| 1026 | "error_result": error_result, |
| 1027 | "error_reason": error_reason, |
| 1028 | "param_reqs": param_reqs, |
| 1029 | } |
| 1030 | return info_dict |
| 1031 | |
| 1032 | @staticmethod |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 1033 | def evResizeOutputShapeNonInteger(check=False, **kwargs): |
| 1034 | error_name = ErrorIf.ResizeOutputShapeNonInteger |
| 1035 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1036 | error_result = False |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 1037 | error_reason = "Parameters do not yield exact integer output dimensions" |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1038 | |
| 1039 | if check: |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 1040 | input_shape = kwargs["input_shape"] |
| 1041 | scale = kwargs["scale"] |
| 1042 | offset = kwargs["offset"] |
| 1043 | border = kwargs["border"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1044 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 1045 | # Ensure parameters are valid |
| 1046 | params_valid = TosaErrorValidator.checkResizeParams(scale, offset, border) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1047 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 1048 | if params_valid: |
| 1049 | remainder_y = ( |
| 1050 | (input_shape[1] - 1) * scale[0] - offset[0] + border[0] |
| 1051 | ) % scale[1] |
| 1052 | remainder_x = ( |
| 1053 | (input_shape[2] - 1) * scale[2] - offset[1] + border[1] |
| 1054 | ) % scale[3] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1055 | |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 1056 | if max(remainder_y, remainder_x) > 0: |
| 1057 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1058 | |
| 1059 | info_dict = { |
| 1060 | "error_name": error_name, |
| 1061 | "error_result": error_result, |
| 1062 | "error_reason": error_reason, |
| 1063 | "param_reqs": param_reqs, |
| 1064 | } |
| 1065 | return info_dict |
| 1066 | |
| 1067 | @staticmethod |
| 1068 | def evRankMismatch(check=False, **kwargs): |
| 1069 | error_name = ErrorIf.RankMismatch |
| 1070 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1071 | error_result = False |
| 1072 | error_reason = "Input Rank does not match output rank" |
| 1073 | |
| 1074 | if check: |
| 1075 | input1_shape = kwargs["input1"].shape |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 1076 | input2_shape = ( |
| 1077 | kwargs["input2"].shape if "input2" in kwargs else input1_shape |
| 1078 | ) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1079 | # In case of SELECT op |
| 1080 | input3_shape = ( |
| 1081 | kwargs["input3"].shape if "input3" in kwargs else input2_shape |
| 1082 | ) |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 1083 | |
| 1084 | for output in kwargs["result_tensors"]: |
| 1085 | output_shape = output.shape |
| 1086 | if ( |
| 1087 | (len(input1_shape) != len(output_shape)) |
| 1088 | or (len(input2_shape) != len(output_shape)) |
| 1089 | or (len(input3_shape) != len(output_shape)) |
| 1090 | ): |
| 1091 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1092 | |
| 1093 | info_dict = { |
| 1094 | "error_name": error_name, |
| 1095 | "error_result": error_result, |
| 1096 | "error_reason": error_reason, |
| 1097 | "param_reqs": param_reqs, |
| 1098 | } |
| 1099 | return info_dict |
| 1100 | |
| 1101 | @staticmethod |
| 1102 | def evDimensionMismatch(check=False, **kwargs): |
| 1103 | error_name = ErrorIf.DimensionMismatch |
| 1104 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1105 | error_result = False |
| 1106 | error_reason = "Input Dimensions do not match output" |
| 1107 | |
| 1108 | if check: |
| 1109 | input1_shape = kwargs["input1"].shape |
| 1110 | input2_shape = kwargs["input2"].shape |
| 1111 | # In case of SELECT op |
| 1112 | input3_shape = ( |
| 1113 | kwargs["input3"].shape if "input3" in kwargs else input2_shape |
| 1114 | ) |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 1115 | |
Jerry Ge | 135c955 | 2023-05-23 20:59:32 +0000 | [diff] [blame] | 1116 | if len(input1_shape) == len(input2_shape) == len(input3_shape): |
| 1117 | calculated_shape = TosaErrorValidator.calculateBroadcastShape( |
| 1118 | input3_shape, |
| 1119 | TosaErrorValidator.calculateBroadcastShape( |
| 1120 | input1_shape, input2_shape |
| 1121 | ), |
| 1122 | ) |
| 1123 | if calculated_shape is not None: |
| 1124 | # Valid inputs - check for output mismatch |
| 1125 | for output in kwargs["result_tensors"]: |
| 1126 | output_shape = output.shape |
| 1127 | if calculated_shape != output_shape: |
| 1128 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1129 | |
| 1130 | info_dict = { |
| 1131 | "error_name": error_name, |
| 1132 | "error_result": error_result, |
| 1133 | "error_reason": error_reason, |
| 1134 | "param_reqs": param_reqs, |
| 1135 | } |
| 1136 | return info_dict |
| 1137 | |
| 1138 | @staticmethod |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1139 | def _getZeroPoint(qinfo, index): |
| 1140 | """Return zero point value from quantization info. |
| 1141 | |
| 1142 | Generally input_zp is index 0, output_zp is index 1 |
| 1143 | """ |
Eric Kunze | b5fabec | 2022-06-07 05:20:44 +0000 | [diff] [blame] | 1144 | return qinfo[index] |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1145 | |
| 1146 | @staticmethod |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1147 | def evInputZeroPointNotZero(check=False, **kwargs): |
| 1148 | op = kwargs["op"] |
| 1149 | error_result = False |
| 1150 | |
| 1151 | # Quantizable types |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1152 | qTypes = (DType.INT8, DType.UINT8, DType.UINT16) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1153 | |
| 1154 | # This does not apply to quantizable types |
| 1155 | inputDtypes = [ |
| 1156 | dtype |
| 1157 | for dtype in op["types"] |
| 1158 | if (isinstance(dtype, list) and dtype[0] not in qTypes) |
| 1159 | or (not isinstance(dtype, list) and dtype not in qTypes) |
| 1160 | ] |
| 1161 | |
| 1162 | if check: |
| 1163 | input_dtype = kwargs["input_dtype"] |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1164 | input_zero_point = TosaErrorValidator._getZeroPoint(kwargs["qinfo"], 0) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1165 | if op["op"] == Op.MATMUL: |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1166 | input2_zero_point = TosaErrorValidator._getZeroPoint(kwargs["qinfo"], 1) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1167 | for dtype, zp in ( |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1168 | (kwargs["input_dtype"], input_zero_point), |
| 1169 | (kwargs["input2_dtype"], input2_zero_point), |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1170 | ): |
| 1171 | if dtype not in qTypes and zp != 0: |
| 1172 | error_result = True |
| 1173 | break |
| 1174 | else: |
| 1175 | error_result = input_dtype not in qTypes and input_zero_point != 0 |
| 1176 | |
| 1177 | info_dict = { |
| 1178 | "error_name": ErrorIf.InputZeroPointNotZero, |
| 1179 | "error_result": error_result, |
| 1180 | "error_reason": "Input DType not INT8 and zero point not 0", |
| 1181 | "param_reqs": {"rank": None, "dtype": inputDtypes, "shape": None}, |
| 1182 | } |
| 1183 | return info_dict |
| 1184 | |
| 1185 | @staticmethod |
| 1186 | def evWeightZeroPointNotZero(check=False, **kwargs): |
| 1187 | op = kwargs["op"] |
| 1188 | |
| 1189 | # exclude inputs with INT8 weights |
| 1190 | inputDtypes = [ |
| 1191 | t for t in op["types"] if not isinstance(t, list) or t[1] != DType.INT8 |
| 1192 | ] |
| 1193 | |
| 1194 | error_name = ErrorIf.WeightZeroPointNotZero |
| 1195 | param_reqs = {"rank": None, "dtype": inputDtypes, "shape": None} |
| 1196 | error_result = False |
| 1197 | error_reason = "Weight DType not INT8 and zero point not 0" |
| 1198 | |
| 1199 | if check: |
| 1200 | weight_dtype = kwargs["weight_dtype"] |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1201 | weight_zero_point = TosaErrorValidator._getZeroPoint(kwargs["qinfo"], 1) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1202 | if weight_dtype != DType.INT8 and weight_zero_point != 0: |
| 1203 | error_result = True |
| 1204 | |
| 1205 | info_dict = { |
| 1206 | "error_name": error_name, |
| 1207 | "error_result": error_result, |
| 1208 | "error_reason": error_reason, |
| 1209 | "param_reqs": param_reqs, |
| 1210 | } |
| 1211 | return info_dict |
| 1212 | |
| 1213 | @staticmethod |
| 1214 | def evOutputZeroPointNotZero(check=False, **kwargs): |
| 1215 | op = kwargs["op"] |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1216 | inputDtypes = [ |
| 1217 | t for t in op["types"] if t not in [DType.INT8, DType.UINT8, DType.UINT16] |
| 1218 | ] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1219 | |
| 1220 | error_name = ErrorIf.OutputZeroPointNotZero |
| 1221 | param_reqs = {"rank": None, "dtype": inputDtypes, "shape": None} |
| 1222 | error_result = False |
| 1223 | error_reason = "Output DType not INT8 and zero point not 0" |
| 1224 | |
| 1225 | if check: |
| 1226 | input_dtype = kwargs["input_dtype"] |
| 1227 | output_dtype = kwargs["output_dtype"] |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1228 | output_zero_point = TosaErrorValidator._getZeroPoint(kwargs["qinfo"], 1) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1229 | if op["op"] == Op.AVG_POOL2D: |
| 1230 | if input_dtype != DType.INT8 and output_zero_point != 0: |
| 1231 | error_result = True |
| 1232 | elif ( |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1233 | output_dtype not in [DType.INT8, DType.UINT8, DType.UINT16] |
| 1234 | and output_zero_point != 0 |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1235 | ): |
| 1236 | error_result = True |
| 1237 | |
| 1238 | info_dict = { |
| 1239 | "error_name": error_name, |
| 1240 | "error_result": error_result, |
| 1241 | "error_reason": error_reason, |
| 1242 | "param_reqs": param_reqs, |
| 1243 | } |
| 1244 | return info_dict |
| 1245 | |
| 1246 | @staticmethod |
Jeremy Johnson | f7f78ae | 2022-05-25 15:26:38 +0100 | [diff] [blame] | 1247 | def evU16InputZeroPointNotValid(check=False, **kwargs): |
| 1248 | error_name = ErrorIf.U16InputZeroPointNotValid |
| 1249 | param_reqs = {"rank": None, "dtype": [DType.UINT16], "shape": None} |
| 1250 | error_result = False |
| 1251 | error_reason = "Input DType is UINT16 and zero point not 0 or 32678" |
| 1252 | |
| 1253 | if check: |
| 1254 | input_dtype = kwargs["input_dtype"] |
| 1255 | input_zero_point = TosaErrorValidator._getZeroPoint(kwargs["qinfo"], 0) |
| 1256 | error_result = input_dtype == DType.UINT16 and input_zero_point not in [ |
| 1257 | 0, |
| 1258 | 32768, |
| 1259 | ] |
| 1260 | |
| 1261 | info_dict = { |
| 1262 | "error_name": error_name, |
| 1263 | "error_result": error_result, |
| 1264 | "error_reason": error_reason, |
| 1265 | "param_reqs": param_reqs, |
| 1266 | } |
| 1267 | return info_dict |
| 1268 | |
| 1269 | @staticmethod |
| 1270 | def evU16OutputZeroPointNotValid(check=False, **kwargs): |
| 1271 | error_name = ErrorIf.U16OutputZeroPointNotValid |
| 1272 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1273 | error_result = False |
| 1274 | error_reason = "Output DType is UINT16 and zero point not 0 or 32678" |
| 1275 | |
| 1276 | if check: |
| 1277 | output_dtype = kwargs["output_dtype"] |
| 1278 | output_zero_point = TosaErrorValidator._getZeroPoint(kwargs["qinfo"], 1) |
| 1279 | |
| 1280 | error_result = output_dtype == DType.UINT16 and output_zero_point not in [ |
| 1281 | 0, |
| 1282 | 32768, |
| 1283 | ] |
| 1284 | |
| 1285 | info_dict = { |
| 1286 | "error_name": error_name, |
| 1287 | "error_result": error_result, |
| 1288 | "error_reason": error_reason, |
| 1289 | "param_reqs": param_reqs, |
| 1290 | } |
| 1291 | return info_dict |
| 1292 | |
| 1293 | @staticmethod |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1294 | def evAxisSmallerZero(check=False, **kwargs): |
| 1295 | error_name = ErrorIf.AxisSmallerZero |
| 1296 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1297 | error_result = False |
| 1298 | error_reason = "Axis smaller than zero" |
| 1299 | |
| 1300 | if check: |
| 1301 | axis = kwargs["axis"] |
| 1302 | if axis < 0: |
| 1303 | error_result = True |
| 1304 | |
| 1305 | info_dict = { |
| 1306 | "error_name": error_name, |
| 1307 | "error_result": error_result, |
| 1308 | "error_reason": error_reason, |
| 1309 | "param_reqs": param_reqs, |
| 1310 | } |
| 1311 | return info_dict |
| 1312 | |
| 1313 | @staticmethod |
| 1314 | def evAxisLargerRank(check=False, **kwargs): |
| 1315 | error_name = ErrorIf.AxisLargerRank |
| 1316 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1317 | error_result = False |
| 1318 | error_reason = "Axis larger than rank" |
| 1319 | |
| 1320 | if check: |
| 1321 | axis = kwargs["axis"] |
| 1322 | shape = kwargs["input_shape"] |
| 1323 | if axis > len(shape): |
| 1324 | error_result = True |
| 1325 | |
| 1326 | info_dict = { |
| 1327 | "error_name": error_name, |
| 1328 | "error_result": error_result, |
| 1329 | "error_reason": error_reason, |
| 1330 | "param_reqs": param_reqs, |
| 1331 | } |
| 1332 | return info_dict |
| 1333 | |
| 1334 | @staticmethod |
| 1335 | def evShapeOfAxisNotOne(check=False, **kwargs): |
| 1336 | error_name = ErrorIf.ShapeOfAxisNotOne |
| 1337 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1338 | error_result = False |
| 1339 | error_reason = "shape[axis] is not equal to 1" |
| 1340 | |
| 1341 | if check: |
| 1342 | axis = kwargs["axis"] |
| 1343 | shape = kwargs["output_shape"] |
| 1344 | if (0 <= axis < len(shape)) and shape[axis] != 1: |
| 1345 | error_result = True |
| 1346 | |
| 1347 | info_dict = { |
| 1348 | "error_name": error_name, |
| 1349 | "error_result": error_result, |
| 1350 | "error_reason": error_reason, |
| 1351 | "param_reqs": param_reqs, |
| 1352 | } |
| 1353 | return info_dict |
| 1354 | |
| 1355 | @staticmethod |
| 1356 | def evPadSmallerZero(check=False, **kwargs): |
| 1357 | error_name = ErrorIf.PadSmallerZero |
| 1358 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1359 | error_result = False |
| 1360 | error_reason = "At least one pad is smaller than zero" |
| 1361 | |
| 1362 | if check: |
| 1363 | op = kwargs["op"] |
| 1364 | pad = kwargs["pad"] |
| 1365 | if op["op"] == Op.PAD: |
| 1366 | for padding in pad: |
| 1367 | if min(padding) < 0: |
| 1368 | error_result = True |
| 1369 | else: |
| 1370 | if min(pad) < 0: |
| 1371 | error_result = True |
| 1372 | |
| 1373 | info_dict = { |
| 1374 | "error_name": error_name, |
| 1375 | "error_result": error_result, |
| 1376 | "error_reason": error_reason, |
| 1377 | "param_reqs": param_reqs, |
| 1378 | } |
| 1379 | return info_dict |
| 1380 | |
| 1381 | @staticmethod |
| 1382 | def evPadLargerEqualKernel(check=False, **kwargs): |
| 1383 | error_name = ErrorIf.PadLargerEqualKernel |
| 1384 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1385 | error_result = False |
| 1386 | error_reason = "At least one pad is larger than kernel dimension" |
| 1387 | |
| 1388 | if check: |
| 1389 | pad = kwargs["pad"] |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1390 | op = kwargs["op"] |
| 1391 | if op["op"] == Op.TRANSPOSE_CONV2D: |
| 1392 | # transpose_conv2d |
| 1393 | kernel = kwargs["weight_shape"][1:-1] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1394 | if ( |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1395 | pad[0] <= -kernel[0] |
| 1396 | or pad[1] <= -kernel[0] |
| 1397 | or pad[2] <= -kernel[1] |
| 1398 | or pad[3] <= -kernel[1] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1399 | ): |
| 1400 | error_result = True |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1401 | else: |
| 1402 | # pooling op |
| 1403 | kernel = kwargs["kernel"] |
| 1404 | if min(pad) > 0 and min(kernel) > 1: |
| 1405 | if ( |
| 1406 | pad[0] >= kernel[0] |
| 1407 | or pad[1] >= kernel[0] |
| 1408 | or pad[2] >= kernel[1] |
| 1409 | or pad[3] >= kernel[1] |
| 1410 | ): |
| 1411 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1412 | |
| 1413 | info_dict = { |
| 1414 | "error_name": error_name, |
| 1415 | "error_result": error_result, |
| 1416 | "error_reason": error_reason, |
| 1417 | "param_reqs": param_reqs, |
| 1418 | } |
| 1419 | return info_dict |
| 1420 | |
| 1421 | @staticmethod |
Jeremy Johnson | d32c6da | 2022-08-24 17:09:09 +0100 | [diff] [blame] | 1422 | def evPadOutputShapeMismatch(check=False, **kwargs): |
| 1423 | error_name = ErrorIf.PadOutputShapeMismatch |
| 1424 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1425 | error_result = False |
| 1426 | error_reason = "Pad output shape mismatch for requested padding" |
| 1427 | |
| 1428 | if check: |
| 1429 | pad = kwargs["pad"] |
| 1430 | input_shape = kwargs["input_shape"] |
| 1431 | output_shape = kwargs["output_shape"] |
| 1432 | for dim, padding in enumerate(pad): |
| 1433 | expected_size = input_shape[dim] + padding[0] + padding[1] |
| 1434 | if expected_size != output_shape[dim]: |
| 1435 | error_result = True |
| 1436 | |
| 1437 | info_dict = { |
| 1438 | "error_name": error_name, |
| 1439 | "error_result": error_result, |
| 1440 | "error_reason": error_reason, |
| 1441 | "param_reqs": param_reqs, |
| 1442 | } |
| 1443 | return info_dict |
| 1444 | |
| 1445 | @staticmethod |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1446 | def checkPoolingParams(kernel, stride, pad): |
| 1447 | return ( |
| 1448 | min(kernel) >= 1 |
| 1449 | and min(stride) >= 1 |
| 1450 | and min(pad) >= 0 |
| 1451 | and not ( |
| 1452 | pad[0] >= kernel[0] |
| 1453 | or pad[1] >= kernel[0] |
| 1454 | or pad[2] >= kernel[1] |
| 1455 | or pad[3] >= kernel[1] |
| 1456 | ) |
| 1457 | ) |
| 1458 | |
| 1459 | @staticmethod |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1460 | def evPoolingOutputShapeMismatch(check=False, **kwargs): |
| 1461 | error_name = ErrorIf.PoolingOutputShapeMismatch |
| 1462 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1463 | error_result = False |
| 1464 | error_reason = ( |
| 1465 | "Mismatch between output shape provided and expected output shape" |
| 1466 | ) |
| 1467 | |
| 1468 | if check: |
| 1469 | pad = kwargs["pad"] |
| 1470 | pad_top, pad_bottom, pad_left, pad_right = pad[0], pad[1], pad[2], pad[3] |
| 1471 | |
| 1472 | kernel = kwargs["kernel"] |
| 1473 | kernel_y, kernel_x = kernel[0], kernel[1] |
| 1474 | |
| 1475 | input_shape = kwargs["input_shape"] |
| 1476 | IH, IW = input_shape[1], input_shape[2] |
| 1477 | |
| 1478 | output_shape = kwargs["output_shape"] |
| 1479 | OH, OW = output_shape[1], output_shape[2] |
| 1480 | |
| 1481 | stride = kwargs["stride"] |
| 1482 | stride_y, stride_x = stride[0], stride[1] |
| 1483 | |
| 1484 | # calculate correct height, width dimensions |
| 1485 | if stride_x != 0 and stride_y != 0: |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1486 | y_correct = ((IH + pad_top + pad_bottom - kernel_y) // stride_y) + 1 |
| 1487 | x_correct = ((IW + pad_left + pad_right - kernel_x) // stride_x) + 1 |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1488 | |
| 1489 | # ensure parameters are valid |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1490 | params_valid = TosaErrorValidator.checkPoolingParams(kernel, stride, pad) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1491 | |
| 1492 | if params_valid and (OH != y_correct or OW != x_correct): |
| 1493 | error_result = True |
| 1494 | |
| 1495 | info_dict = { |
| 1496 | "error_name": error_name, |
| 1497 | "error_result": error_result, |
| 1498 | "error_reason": error_reason, |
| 1499 | "param_reqs": param_reqs, |
| 1500 | } |
| 1501 | return info_dict |
| 1502 | |
| 1503 | @staticmethod |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1504 | def evPoolingOutputShapeNonInteger(check=False, **kwargs): |
| 1505 | error_name = ErrorIf.PoolingOutputShapeNonInteger |
| 1506 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1507 | error_result = False |
| 1508 | error_reason = "Parameters do not yield exact integer output dimensions" |
| 1509 | |
| 1510 | if check: |
| 1511 | pad = kwargs["pad"] |
| 1512 | pad_top, pad_bottom, pad_left, pad_right = pad[0], pad[1], pad[2], pad[3] |
| 1513 | |
| 1514 | kernel = kwargs["kernel"] |
| 1515 | kernel_y, kernel_x = kernel[0], kernel[1] |
| 1516 | |
| 1517 | input_shape = kwargs["input_shape"] |
| 1518 | IH, IW = input_shape[1], input_shape[2] |
| 1519 | |
| 1520 | stride = kwargs["stride"] |
| 1521 | stride_y, stride_x = stride[0], stride[1] |
| 1522 | |
| 1523 | # calculate remainder of height, width dimensions |
| 1524 | if stride_x != 0 and stride_y != 0: |
| 1525 | y_remainder = (IH + pad_top + pad_bottom - kernel_y) % stride_y |
| 1526 | x_remainder = (IW + pad_left + pad_right - kernel_x) % stride_x |
| 1527 | |
| 1528 | # ensure parameters are valid |
| 1529 | params_valid = TosaErrorValidator.checkPoolingParams(kernel, stride, pad) |
| 1530 | if params_valid and (y_remainder != 0 or x_remainder != 0): |
| 1531 | error_result = True |
| 1532 | |
| 1533 | info_dict = { |
| 1534 | "error_name": error_name, |
| 1535 | "error_result": error_result, |
| 1536 | "error_reason": error_reason, |
| 1537 | "param_reqs": param_reqs, |
| 1538 | } |
| 1539 | return info_dict |
| 1540 | |
| 1541 | @staticmethod |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1542 | def checkConvParams(op, weight_shape, stride, pad, dilation): |
| 1543 | if op == Op.TRANSPOSE_CONV2D: |
| 1544 | pad_ok = ( |
| 1545 | pad[0] > -weight_shape[1] |
| 1546 | and pad[1] > -weight_shape[1] |
| 1547 | and pad[2] > -weight_shape[2] |
| 1548 | and pad[3] > -weight_shape[2] |
| 1549 | ) |
| 1550 | else: |
| 1551 | pad_ok = min(pad) >= 0 |
| 1552 | |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1553 | return ( |
| 1554 | # Check kernel sizes |
| 1555 | min(weight_shape[1:-1]) >= 1 |
| 1556 | and min(stride) >= 1 |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1557 | and pad_ok |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1558 | and (dilation is None or min(dilation) >= 1) |
| 1559 | ) |
| 1560 | |
| 1561 | @staticmethod |
| 1562 | def evConvOutputShapeMismatch(check=False, **kwargs): |
| 1563 | error_name = ErrorIf.ConvOutputShapeMismatch |
| 1564 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1565 | error_result = False |
| 1566 | error_reason = ( |
| 1567 | "Mismatch between output shape provided and expected output shape" |
| 1568 | ) |
| 1569 | |
| 1570 | if check: |
| 1571 | op = kwargs["op"] |
| 1572 | pad = kwargs["pad"] |
| 1573 | weight_shape = kwargs["weight_shape"] |
| 1574 | input_shape = kwargs["input_shape"] |
| 1575 | output_shape = kwargs["output_shape"] |
| 1576 | dilation = kwargs["dilation"] if op["op"] != Op.TRANSPOSE_CONV2D else None |
| 1577 | stride = kwargs["stride"] |
| 1578 | |
| 1579 | kernel_offset = 0 if op["op"] == Op.DEPTHWISE_CONV2D else 1 |
| 1580 | |
| 1581 | # calculate correct dimensions |
| 1582 | dims_correct = [] |
| 1583 | if min(stride) > 0: |
| 1584 | for index in range(len(stride)): |
| 1585 | pad_offset = index * 2 |
| 1586 | if op["op"] == Op.TRANSPOSE_CONV2D: |
| 1587 | dims_correct.append( |
| 1588 | (input_shape[index + 1] - 1) * stride[index] |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1589 | + pad[pad_offset] |
| 1590 | + pad[pad_offset + 1] |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1591 | + weight_shape[index + kernel_offset] |
| 1592 | ) |
| 1593 | else: |
| 1594 | dims_correct.append( |
| 1595 | ( |
| 1596 | input_shape[index + 1] |
| 1597 | - 1 |
| 1598 | + pad[pad_offset] |
| 1599 | + pad[pad_offset + 1] |
| 1600 | - (weight_shape[index + kernel_offset] - 1) |
| 1601 | * dilation[index] |
| 1602 | ) |
| 1603 | // stride[index] |
| 1604 | + 1 |
| 1605 | ) |
| 1606 | |
| 1607 | # ensure parameters are valid |
| 1608 | params_valid = TosaErrorValidator.checkConvParams( |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1609 | op["op"], weight_shape, stride, pad, dilation |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1610 | ) |
| 1611 | |
| 1612 | if params_valid and output_shape[1:-1] != dims_correct: |
| 1613 | error_result = True |
| 1614 | |
| 1615 | info_dict = { |
| 1616 | "error_name": error_name, |
| 1617 | "error_result": error_result, |
| 1618 | "error_reason": error_reason, |
| 1619 | "param_reqs": param_reqs, |
| 1620 | } |
| 1621 | return info_dict |
| 1622 | |
| 1623 | @staticmethod |
| 1624 | def evConvOutputShapeNonInteger(check=False, **kwargs): |
| 1625 | error_name = ErrorIf.ConvOutputShapeNonInteger |
| 1626 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1627 | error_result = False |
| 1628 | error_reason = "Parameters do not yield exact integer output dimensions" |
| 1629 | |
| 1630 | if check: |
| 1631 | op = kwargs["op"] |
| 1632 | pad = kwargs["pad"] |
| 1633 | weight_shape = kwargs["weight_shape"] |
| 1634 | input_shape = kwargs["input_shape"] |
| 1635 | dilation = kwargs["dilation"] |
| 1636 | stride = kwargs["stride"] |
| 1637 | |
| 1638 | kernel_offset = 0 if op["op"] == Op.DEPTHWISE_CONV2D else 1 |
| 1639 | |
| 1640 | # calculate correct height, width dimensions |
| 1641 | remainders = [] |
| 1642 | if min(stride) > 0: |
| 1643 | for index in range(len(stride)): |
| 1644 | pad_offset = index * 2 |
| 1645 | remainders.append( |
| 1646 | ( |
| 1647 | input_shape[index + 1] |
| 1648 | - 1 |
| 1649 | + pad[pad_offset] |
| 1650 | + pad[pad_offset + 1] |
| 1651 | - (weight_shape[index + kernel_offset] - 1) |
| 1652 | * dilation[index] |
| 1653 | ) |
| 1654 | % stride[index] |
| 1655 | ) |
| 1656 | |
| 1657 | # ensure parameters are valid |
| 1658 | params_valid = TosaErrorValidator.checkConvParams( |
Eric Kunze | c1a9783 | 2022-07-01 16:56:09 -0700 | [diff] [blame] | 1659 | op["op"], weight_shape, stride, pad, dilation |
Jeremy Johnson | 4a6fb9b | 2022-04-26 15:47:21 +0100 | [diff] [blame] | 1660 | ) |
| 1661 | if params_valid and max(remainders) > 0: |
| 1662 | error_result = True |
| 1663 | |
| 1664 | info_dict = { |
| 1665 | "error_name": error_name, |
| 1666 | "error_result": error_result, |
| 1667 | "error_reason": error_reason, |
| 1668 | "param_reqs": param_reqs, |
| 1669 | } |
| 1670 | return info_dict |
| 1671 | |
| 1672 | @staticmethod |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1673 | def evArgmaxOutputShapeMismatch(check=False, **kwargs): |
| 1674 | error_name = ErrorIf.ArgmaxOutputShapeMismatch |
| 1675 | param_reqs = {"rank": [2, 4], "dtype": None, "shape": None} |
| 1676 | error_result = False |
| 1677 | error_reason = ( |
| 1678 | "Mismatch between output shape provided and expected output shape" |
| 1679 | ) |
| 1680 | |
| 1681 | if check: |
| 1682 | output_shape = kwargs["output_shape"] |
| 1683 | input_shape = kwargs["input_shape"] |
| 1684 | axis = kwargs["axis"] |
| 1685 | |
| 1686 | dimension_match = True |
| 1687 | axis_shift = 0 |
| 1688 | |
| 1689 | # Check that rank is correct before trying to check dimensions |
| 1690 | if (len(input_shape) - 1) == len(output_shape): |
| 1691 | for i in range(len(input_shape)): |
| 1692 | if i == axis: |
| 1693 | axis_shift = 1 |
| 1694 | continue |
| 1695 | if input_shape[i] != output_shape[i - axis_shift]: |
| 1696 | dimension_match = False |
| 1697 | |
| 1698 | if not dimension_match: |
| 1699 | error_result = True |
| 1700 | |
| 1701 | info_dict = { |
| 1702 | "error_name": error_name, |
| 1703 | "error_result": error_result, |
| 1704 | "error_reason": error_reason, |
| 1705 | "param_reqs": param_reqs, |
| 1706 | } |
| 1707 | return info_dict |
| 1708 | |
| 1709 | @staticmethod |
| 1710 | def evArgmaxOutputRankMismatch(check=False, **kwargs): |
| 1711 | error_name = ErrorIf.ArgmaxOutputRankMismatch |
| 1712 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1713 | error_result = False |
| 1714 | error_reason = ( |
| 1715 | "Mismatch between output shape provided and expected output shape" |
| 1716 | ) |
| 1717 | |
| 1718 | if check: |
| 1719 | output_shape = kwargs["output_shape"] |
| 1720 | input_shape = kwargs["input_shape"] |
| 1721 | axis = kwargs["axis"] |
| 1722 | valid_params = axis >= 0 and axis < len(input_shape) |
| 1723 | |
| 1724 | if valid_params and (len(input_shape) - 1) != len(output_shape): |
| 1725 | error_result = True |
| 1726 | |
| 1727 | info_dict = { |
| 1728 | "error_name": error_name, |
| 1729 | "error_result": error_result, |
| 1730 | "error_reason": error_reason, |
| 1731 | "param_reqs": param_reqs, |
| 1732 | } |
| 1733 | return info_dict |
| 1734 | |
| 1735 | @staticmethod |
| 1736 | def evKernelSmallerOne(check=False, **kwargs): |
| 1737 | error_name = ErrorIf.KernelSmallerOne |
| 1738 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1739 | error_result = False |
| 1740 | error_reason = "At least one kernel dimension is smaller than zero" |
| 1741 | |
| 1742 | if check: |
| 1743 | kernel = kwargs["kernel"] |
| 1744 | if min(kernel) < 1: |
| 1745 | error_result = True |
| 1746 | |
| 1747 | info_dict = { |
| 1748 | "error_name": error_name, |
| 1749 | "error_result": error_result, |
| 1750 | "error_reason": error_reason, |
| 1751 | "param_reqs": param_reqs, |
| 1752 | } |
| 1753 | return info_dict |
| 1754 | |
| 1755 | @staticmethod |
| 1756 | def evStrideSmallerOne(check=False, **kwargs): |
| 1757 | error_name = ErrorIf.StrideSmallerOne |
| 1758 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1759 | error_result = False |
| 1760 | error_reason = "At least one stride dimension is smaller than zero" |
| 1761 | |
| 1762 | if check: |
| 1763 | stride = kwargs["stride"] |
| 1764 | if min(stride) < 1: |
| 1765 | error_result = True |
| 1766 | |
| 1767 | info_dict = { |
| 1768 | "error_name": error_name, |
| 1769 | "error_result": error_result, |
| 1770 | "error_reason": error_reason, |
| 1771 | "param_reqs": param_reqs, |
| 1772 | } |
| 1773 | return info_dict |
| 1774 | |
| 1775 | @staticmethod |
| 1776 | def evDilationSmallerOne(check=False, **kwargs): |
| 1777 | error_result = check and min(kwargs["dilation"]) < 1 |
| 1778 | return { |
| 1779 | "error_name": ErrorIf.DilationSmallerOne, |
| 1780 | "error_reason": "At least one dilation is smaller than one", |
| 1781 | "param_reqs": {"rank": None, "dtype": None, "shape": None}, |
| 1782 | "error_result": error_result, |
| 1783 | } |
| 1784 | |
| 1785 | @staticmethod |
| 1786 | def evScaleTrue(check=False, **kwargs): |
| 1787 | error_name = ErrorIf.ScaleTrue |
| 1788 | param_reqs = {"rank": None, "dtype": [DType.INT48], "shape": None} |
| 1789 | error_result = False |
| 1790 | error_reason = "Scale set to true but input type is INT48" |
| 1791 | |
| 1792 | if check: |
| 1793 | input_dtype = kwargs["input_dtype"] |
| 1794 | scale32 = kwargs["scale32"] |
| 1795 | if scale32 and input_dtype == DType.INT48: |
| 1796 | error_result = True |
| 1797 | |
| 1798 | info_dict = { |
| 1799 | "error_name": error_name, |
| 1800 | "error_result": error_result, |
| 1801 | "error_reason": error_reason, |
| 1802 | "param_reqs": param_reqs, |
| 1803 | } |
| 1804 | return info_dict |
| 1805 | |
| 1806 | @staticmethod |
| 1807 | def evScaleNotTrue(check=False, **kwargs): |
| 1808 | error_name = ErrorIf.ScaleNotTrue |
| 1809 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1810 | error_result = False |
| 1811 | error_reason = "Scale set to false but double round set to true" |
| 1812 | |
| 1813 | if check: |
| 1814 | scale32 = kwargs["scale32"] |
| 1815 | double_round = kwargs["double_round"] |
| 1816 | if not scale32 and double_round: |
| 1817 | error_result = True |
| 1818 | |
| 1819 | info_dict = { |
| 1820 | "error_name": error_name, |
| 1821 | "error_result": error_result, |
| 1822 | "error_reason": error_reason, |
| 1823 | "param_reqs": param_reqs, |
| 1824 | } |
| 1825 | return info_dict |
| 1826 | |
| 1827 | @staticmethod |
| 1828 | def evTensorSizeInputOutputMismatch(check=False, **kwargs): |
| 1829 | error_name = ErrorIf.TensorSizeInputOutputMismatch |
| 1830 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1831 | error_result = False |
| 1832 | error_reason = "Input tensor size does not match output tensor size" |
Jerry Ge | 264f7fa | 2023-04-21 22:49:57 +0000 | [diff] [blame] | 1833 | op = kwargs["op"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1834 | |
| 1835 | if check: |
| 1836 | input_shape = kwargs["input_shape"] |
| 1837 | output_shape = kwargs["output_shape"] |
Jerry Ge | 264f7fa | 2023-04-21 22:49:57 +0000 | [diff] [blame] | 1838 | shape_inferencing = False |
| 1839 | if -1 in output_shape and op["op"] == Op.RESHAPE: |
| 1840 | shape_inferencing = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1841 | input_size = np.prod(input_shape) |
| 1842 | output_size = np.prod(output_shape) |
Jerry Ge | 264f7fa | 2023-04-21 22:49:57 +0000 | [diff] [blame] | 1843 | if input_size != output_size and not shape_inferencing: |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1844 | error_result = True |
| 1845 | |
| 1846 | info_dict = { |
| 1847 | "error_name": error_name, |
| 1848 | "error_result": error_result, |
| 1849 | "error_reason": error_reason, |
| 1850 | "param_reqs": param_reqs, |
| 1851 | } |
| 1852 | return info_dict |
| 1853 | |
| 1854 | @staticmethod |
| 1855 | def evStartSmallerZero(check=False, **kwargs): |
| 1856 | error_name = ErrorIf.StartSmallerZero |
| 1857 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1858 | error_result = False |
| 1859 | error_reason = "Starting point smaller than zero" |
| 1860 | |
| 1861 | if check: |
| 1862 | input_shape = kwargs["input_shape"] |
| 1863 | start = kwargs["start"] |
| 1864 | rank = len(input_shape) |
| 1865 | if len(start) == rank: |
| 1866 | for index in range(rank): |
| 1867 | if start[index] < 0: |
| 1868 | error_result = True |
| 1869 | |
| 1870 | info_dict = { |
| 1871 | "error_name": error_name, |
| 1872 | "error_result": error_result, |
| 1873 | "error_reason": error_reason, |
| 1874 | "param_reqs": param_reqs, |
| 1875 | } |
| 1876 | return info_dict |
| 1877 | |
| 1878 | @staticmethod |
| 1879 | def evSizeSmallerEqualZero(check=False, **kwargs): |
| 1880 | error_name = ErrorIf.SizeSmallerEqualZero |
| 1881 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1882 | error_result = False |
| 1883 | error_reason = "Size smaller than or equal to zero" |
| 1884 | |
| 1885 | if check: |
| 1886 | input_shape = kwargs["input_shape"] |
| 1887 | size = kwargs["size"] |
| 1888 | rank = len(input_shape) |
| 1889 | if len(size) == rank: |
| 1890 | for index in range(rank): |
| 1891 | if size[index] <= 0: |
| 1892 | error_result = True |
| 1893 | |
| 1894 | info_dict = { |
| 1895 | "error_name": error_name, |
| 1896 | "error_result": error_result, |
| 1897 | "error_reason": error_reason, |
| 1898 | "param_reqs": param_reqs, |
| 1899 | } |
| 1900 | return info_dict |
| 1901 | |
| 1902 | @staticmethod |
| 1903 | def evStartSizeOutsideBounds(check=False, **kwargs): |
| 1904 | error_name = ErrorIf.StartSizeOutsideBounds |
| 1905 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1906 | error_result = False |
| 1907 | error_reason = "starting point plus size larger than input dimension" |
| 1908 | |
| 1909 | if check: |
| 1910 | input_shape = kwargs["input_shape"] |
| 1911 | start = kwargs["start"] |
| 1912 | size = kwargs["size"] |
| 1913 | rank = len(input_shape) |
| 1914 | if len(start) == rank and len(size) == rank: |
| 1915 | for index in range(rank): |
| 1916 | if start[index] + size[index] > input_shape[index]: |
| 1917 | error_result = True |
| 1918 | |
| 1919 | info_dict = { |
| 1920 | "error_name": error_name, |
| 1921 | "error_result": error_result, |
| 1922 | "error_reason": error_reason, |
| 1923 | "param_reqs": param_reqs, |
| 1924 | } |
| 1925 | return info_dict |
| 1926 | |
| 1927 | @staticmethod |
| 1928 | def evSizeOutputShapeMismatch(check=False, **kwargs): |
| 1929 | error_name = ErrorIf.SizeOutputShapeMismatch |
| 1930 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1931 | error_result = False |
| 1932 | error_reason = "Size does not match output dimension" |
| 1933 | |
| 1934 | if check: |
| 1935 | input_shape = kwargs["input_shape"] |
| 1936 | output_shape = kwargs["output_shape"] |
| 1937 | size = kwargs["size"] |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 1938 | |
| 1939 | if len(input_shape) == len(output_shape): |
| 1940 | rank = len(input_shape) |
| 1941 | if len(size) == rank: |
| 1942 | for index in range(rank): |
| 1943 | if size[index] != output_shape[index]: |
| 1944 | error_result = True |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 1945 | |
| 1946 | info_dict = { |
| 1947 | "error_name": error_name, |
| 1948 | "error_result": error_result, |
| 1949 | "error_reason": error_reason, |
| 1950 | "param_reqs": param_reqs, |
| 1951 | } |
| 1952 | return info_dict |
| 1953 | |
| 1954 | @staticmethod |
| 1955 | def evInputSizeStartLengthMismatch(check=False, **kwargs): |
| 1956 | error_name = ErrorIf.InputSizeStartLengthMismatch |
| 1957 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1958 | error_result = False |
| 1959 | error_reason = "rank of input not equal to length of start or size" |
| 1960 | |
| 1961 | if check: |
| 1962 | input_shape = kwargs["input_shape"] |
| 1963 | start = kwargs["start"] |
| 1964 | size = kwargs["size"] |
| 1965 | rank = len(input_shape) |
| 1966 | if rank != len(start) or rank != len(size): |
| 1967 | error_result = True |
| 1968 | |
| 1969 | info_dict = { |
| 1970 | "error_name": error_name, |
| 1971 | "error_result": error_result, |
| 1972 | "error_reason": error_reason, |
| 1973 | "param_reqs": param_reqs, |
| 1974 | } |
| 1975 | return info_dict |
| 1976 | |
| 1977 | @staticmethod |
| 1978 | def evIndexOutsideBounds(check=False, **kwargs): |
| 1979 | error_name = ErrorIf.IndexOutsideBounds |
| 1980 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 1981 | error_result = False |
| 1982 | error_reason = "Index outside of allowed bounds" |
| 1983 | |
| 1984 | if check: |
| 1985 | input_shape = kwargs["input_shape"] |
| 1986 | perms = kwargs["perms"] |
| 1987 | rank = len(input_shape) |
| 1988 | |
| 1989 | for index in perms: |
| 1990 | if index < 0 or index > rank: |
| 1991 | error_result = True |
| 1992 | |
| 1993 | info_dict = { |
| 1994 | "error_name": error_name, |
| 1995 | "error_result": error_result, |
| 1996 | "error_reason": error_reason, |
| 1997 | "param_reqs": param_reqs, |
| 1998 | } |
| 1999 | return info_dict |
| 2000 | |
| 2001 | @staticmethod |
| 2002 | def evIndexUsedTwice(check=False, **kwargs): |
| 2003 | error_name = ErrorIf.IndexUsedTwice |
| 2004 | param_reqs = {"rank": [2, 4], "dtype": None, "shape": None} |
| 2005 | error_result = False |
| 2006 | error_reason = "Index used multiple times" |
| 2007 | |
| 2008 | if check: |
| 2009 | perms = kwargs["perms"] |
| 2010 | |
| 2011 | unique_indices = [] |
| 2012 | for index in perms: |
| 2013 | if index in unique_indices: |
| 2014 | error_result = True |
| 2015 | else: |
| 2016 | unique_indices.append(index) |
| 2017 | |
| 2018 | info_dict = { |
| 2019 | "error_name": error_name, |
| 2020 | "error_result": error_result, |
| 2021 | "error_reason": error_reason, |
| 2022 | "param_reqs": param_reqs, |
| 2023 | } |
| 2024 | return info_dict |
| 2025 | |
| 2026 | @staticmethod |
| 2027 | def evMaxSmallerMin(check=False, **kwargs): |
| 2028 | error_name = ErrorIf.MaxSmallerMin |
| 2029 | param_reqs = {"rank": [2, 4], "dtype": None, "shape": None} |
| 2030 | error_result = False |
| 2031 | error_reason = "Max value smaller than min value" |
| 2032 | |
| 2033 | if check: |
| 2034 | max_val = kwargs["max_val"] |
| 2035 | min_val = kwargs["min_val"] |
| 2036 | if max_val < min_val: |
| 2037 | error_result = True |
| 2038 | |
| 2039 | info_dict = { |
| 2040 | "error_name": error_name, |
| 2041 | "error_result": error_result, |
| 2042 | "error_reason": error_reason, |
| 2043 | "param_reqs": param_reqs, |
| 2044 | } |
| 2045 | return info_dict |
| 2046 | |
| 2047 | @staticmethod |
| 2048 | def evConcatInputRankMismatch(check=False, **kwargs): |
| 2049 | error_name = ErrorIf.ConcatInputRankMismatch |
| 2050 | param_reqs = {"rank": [2, 4], "dtype": None, "shape": None} |
| 2051 | error_result = False |
| 2052 | error_reason = "Input ranks are not identical" |
| 2053 | |
| 2054 | if check: |
| 2055 | inputs = kwargs["inputs"] |
| 2056 | input_shape = kwargs["input_shape"] |
| 2057 | for input in inputs: |
| 2058 | if len(input.shape) != len(input_shape): |
| 2059 | error_result = True |
| 2060 | |
| 2061 | info_dict = { |
| 2062 | "error_name": error_name, |
| 2063 | "error_result": error_result, |
| 2064 | "error_reason": error_reason, |
| 2065 | "param_reqs": param_reqs, |
| 2066 | } |
| 2067 | return info_dict |
| 2068 | |
| 2069 | @staticmethod |
| 2070 | def evConcatInputDimMismatch(check=False, **kwargs): |
| 2071 | error_name = ErrorIf.ConcatInputDimMismatch |
| 2072 | param_reqs = {"rank": [2, 4], "dtype": None, "shape": None} |
| 2073 | error_result = False |
| 2074 | error_reason = "Input dimensions differ on too many axes" |
| 2075 | |
| 2076 | if check: |
| 2077 | inputs = kwargs["inputs"] |
| 2078 | input_shape = kwargs["input_shape"] |
| 2079 | axis = kwargs["axis"] |
| 2080 | |
| 2081 | # Ensure rank is valid before checking dims. |
| 2082 | valid_rank = True |
| 2083 | for input in inputs: |
| 2084 | if len(input.shape) != len(input_shape): |
| 2085 | valid_rank = False |
| 2086 | |
| 2087 | if valid_rank: |
| 2088 | for input in inputs: |
| 2089 | for i, dim in enumerate(input.shape): |
| 2090 | if dim != input_shape[i] and axis != i: |
| 2091 | error_result = True |
| 2092 | |
| 2093 | info_dict = { |
| 2094 | "error_name": error_name, |
| 2095 | "error_result": error_result, |
| 2096 | "error_reason": error_reason, |
| 2097 | "param_reqs": param_reqs, |
| 2098 | } |
| 2099 | return info_dict |
| 2100 | |
| 2101 | @staticmethod |
| 2102 | def evConcatShapeSumMismatch(check=False, **kwargs): |
| 2103 | error_name = ErrorIf.ConcatShapeSumMismatch |
| 2104 | param_reqs = {"rank": [2, 4], "dtype": None, "shape": None} |
| 2105 | error_result = False |
| 2106 | error_reason = "Sum of dimensions on axis not equal to output dimension" |
| 2107 | |
| 2108 | if check: |
| 2109 | inputs = kwargs["inputs"] |
| 2110 | input_shape = kwargs["input_shape"] |
| 2111 | output_shape = kwargs["output_shape"] |
| 2112 | axis = kwargs["axis"] |
| 2113 | |
| 2114 | # Ensure rank is valid before checking dims. |
| 2115 | valid_params = True |
| 2116 | for input in inputs: |
| 2117 | if len(input.shape) != len(input_shape): |
| 2118 | valid_params = False |
| 2119 | if axis < 0 or axis > len(input_shape): |
| 2120 | valid_params = False |
| 2121 | |
| 2122 | if valid_params: |
| 2123 | axis_dim_sum = 0 |
| 2124 | for input in inputs: |
| 2125 | axis_dim_sum += input.shape[axis] |
| 2126 | |
| 2127 | if axis_dim_sum != output_shape[axis]: |
| 2128 | error_result = True |
| 2129 | |
| 2130 | info_dict = { |
| 2131 | "error_name": error_name, |
| 2132 | "error_result": error_result, |
| 2133 | "error_reason": error_reason, |
| 2134 | "param_reqs": param_reqs, |
| 2135 | } |
| 2136 | return info_dict |
| 2137 | |
| 2138 | @staticmethod |
| 2139 | def evInputListThenGraphMismatch(check=False, **kwargs): |
| 2140 | error_name = ErrorIf.CondIfInputListThenGraphMismatch |
| 2141 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2142 | error_result = False |
| 2143 | error_reason = "Input list shape does not match then-graph shape" |
| 2144 | |
| 2145 | if check: |
| 2146 | a = kwargs["a"] |
| 2147 | b = kwargs["b"] |
| 2148 | basicBlocks = kwargs["basicBlocks"] |
| 2149 | then_block = basicBlocks[1] |
| 2150 | then_inputs = then_block.inputs |
| 2151 | then_tens = then_block.tensors |
| 2152 | if (a.shape != then_tens[then_inputs[0]].shape) or ( |
| 2153 | b.shape != then_tens[then_inputs[1]].shape |
| 2154 | ): |
| 2155 | error_result = True |
| 2156 | |
| 2157 | info_dict = { |
| 2158 | "error_name": error_name, |
| 2159 | "error_result": error_result, |
| 2160 | "error_reason": error_reason, |
| 2161 | "param_reqs": param_reqs, |
| 2162 | } |
| 2163 | return info_dict |
| 2164 | |
| 2165 | @staticmethod |
| 2166 | def evInputListElseGraphMismatch(check=False, **kwargs): |
| 2167 | error_name = ErrorIf.CondIfInputListElseGraphMismatch |
| 2168 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2169 | error_result = False |
| 2170 | error_reason = "Input list shape does not match else-graph shape" |
| 2171 | |
| 2172 | if check: |
| 2173 | a = kwargs["a"] |
| 2174 | b = kwargs["b"] |
| 2175 | basicBlocks = kwargs["basicBlocks"] |
| 2176 | else_block = basicBlocks[2] |
| 2177 | else_inputs = else_block.inputs |
| 2178 | else_tens = else_block.tensors |
| 2179 | if (a.shape != else_tens[else_inputs[0]].shape) or ( |
| 2180 | b.shape != else_tens[else_inputs[1]].shape |
| 2181 | ): |
| 2182 | error_result = True |
| 2183 | |
| 2184 | info_dict = { |
| 2185 | "error_name": error_name, |
| 2186 | "error_result": error_result, |
| 2187 | "error_reason": error_reason, |
| 2188 | "param_reqs": param_reqs, |
| 2189 | } |
| 2190 | return info_dict |
| 2191 | |
| 2192 | @staticmethod |
| 2193 | def evOutputListThenGraphMismatch(check=False, **kwargs): |
| 2194 | error_name = ErrorIf.CondIfOutputListThenGraphMismatch |
| 2195 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2196 | error_result = False |
| 2197 | error_reason = "Output list shape does not match then-graph shape" |
| 2198 | |
| 2199 | if check: |
| 2200 | basicBlocks = kwargs["basicBlocks"] |
| 2201 | cond_block = basicBlocks[0] |
| 2202 | cond_outputs = cond_block.outputs |
| 2203 | cond_tens = cond_block.tensors |
| 2204 | then_block = basicBlocks[1] |
| 2205 | then_outputs = then_block.outputs |
| 2206 | then_tens = then_block.tensors |
| 2207 | if then_tens[then_outputs[0]].shape != cond_tens[cond_outputs[0]].shape: |
| 2208 | error_result = True |
| 2209 | |
| 2210 | info_dict = { |
| 2211 | "error_name": error_name, |
| 2212 | "error_result": error_result, |
| 2213 | "error_reason": error_reason, |
| 2214 | "param_reqs": param_reqs, |
| 2215 | } |
| 2216 | return info_dict |
| 2217 | |
| 2218 | @staticmethod |
| 2219 | def evOutputListElseGraphMismatch(check=False, **kwargs): |
| 2220 | error_name = ErrorIf.CondIfOutputListElseGraphMismatch |
| 2221 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2222 | error_result = False |
| 2223 | error_reason = "Output list shape does not match else-graph shape" |
| 2224 | |
| 2225 | if check: |
| 2226 | basicBlocks = kwargs["basicBlocks"] |
| 2227 | cond_block = basicBlocks[0] |
| 2228 | cond_outputs = cond_block.outputs |
| 2229 | cond_tens = cond_block.tensors |
| 2230 | else_block = basicBlocks[2] |
| 2231 | else_outputs = else_block.outputs |
| 2232 | else_tens = else_block.tensors |
| 2233 | if else_tens[else_outputs[0]].shape != cond_tens[cond_outputs[0]].shape: |
| 2234 | error_result = True |
| 2235 | |
| 2236 | info_dict = { |
| 2237 | "error_name": error_name, |
| 2238 | "error_result": error_result, |
| 2239 | "error_reason": error_reason, |
| 2240 | "param_reqs": param_reqs, |
| 2241 | } |
| 2242 | return info_dict |
| 2243 | |
| 2244 | @staticmethod |
Jeremy Johnson | 05c711e | 2022-12-12 18:00:41 +0000 | [diff] [blame] | 2245 | def evCondIfCondNotMatchingBool(check=False, **kwargs): |
| 2246 | error_name = ErrorIf.CondIfCondNotMatchingBool |
| 2247 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2248 | error_result = False |
| 2249 | error_reason = "Conditional tensor does not match bool type" |
| 2250 | |
| 2251 | if check: |
| 2252 | cond = kwargs["cond"] |
| 2253 | if cond.dtype != DType.BOOL: |
| 2254 | error_result = True |
| 2255 | |
| 2256 | info_dict = { |
| 2257 | "error_name": error_name, |
| 2258 | "error_result": error_result, |
| 2259 | "error_reason": error_reason, |
| 2260 | "param_reqs": param_reqs, |
| 2261 | } |
| 2262 | return info_dict |
| 2263 | |
| 2264 | @staticmethod |
| 2265 | def evCondIfCondShapeNotSizeOne(check=False, **kwargs): |
| 2266 | error_name = ErrorIf.CondIfCondShapeNotSizeOne |
| 2267 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2268 | error_result = False |
| 2269 | error_reason = "Conditional tensor is not equal to a size of one" |
| 2270 | |
| 2271 | if check: |
| 2272 | cond = kwargs["cond"] |
| 2273 | # Size of 1 is equivalent to rank 0 |
| 2274 | if len(cond.shape) != 0: |
| 2275 | error_result = True |
| 2276 | |
| 2277 | info_dict = { |
| 2278 | "error_name": error_name, |
| 2279 | "error_result": error_result, |
| 2280 | "error_reason": error_reason, |
| 2281 | "param_reqs": param_reqs, |
| 2282 | } |
| 2283 | return info_dict |
| 2284 | |
| 2285 | @staticmethod |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2286 | def evInputListOutputListMismatch(check=False, **kwargs): |
| 2287 | error_name = ErrorIf.InputListOutputListMismatch |
| 2288 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2289 | error_result = False |
| 2290 | error_reason = "Input list does not match output list" |
| 2291 | |
| 2292 | if check: |
| 2293 | basicBlocks = kwargs["basicBlocks"] |
| 2294 | while_block = basicBlocks[0] |
| 2295 | while_inputs = while_block.inputs |
| 2296 | while_outputs = while_block.outputs |
| 2297 | while_tens = while_block.tensors |
| 2298 | if while_tens[while_inputs[1]].shape != while_tens[while_outputs[0]].shape: |
| 2299 | error_result = True |
| 2300 | |
| 2301 | info_dict = { |
| 2302 | "error_name": error_name, |
| 2303 | "error_result": error_result, |
| 2304 | "error_reason": error_reason, |
| 2305 | "param_reqs": param_reqs, |
| 2306 | } |
| 2307 | return info_dict |
| 2308 | |
| 2309 | @staticmethod |
| 2310 | def evInputListCondGraphMismatch(check=False, **kwargs): |
| 2311 | error_name = ErrorIf.InputListCondGraphMismatch |
| 2312 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2313 | error_result = False |
| 2314 | error_reason = "Input list does not match cond graph" |
| 2315 | |
| 2316 | if check: |
| 2317 | basicBlocks = kwargs["basicBlocks"] |
| 2318 | while_block = basicBlocks[0] |
| 2319 | while_inputs = while_block.inputs |
| 2320 | while_tens = while_block.tensors |
| 2321 | cond_block = basicBlocks[1] |
| 2322 | cond_inputs = cond_block.inputs |
| 2323 | cond_tens = cond_block.tensors |
| 2324 | if ( |
| 2325 | while_tens[while_inputs[0]].shape != cond_tens[cond_inputs[0]].shape |
| 2326 | ) or (while_tens[while_inputs[1]].shape != cond_tens[cond_inputs[2]].shape): |
| 2327 | error_result = True |
| 2328 | |
| 2329 | info_dict = { |
| 2330 | "error_name": error_name, |
| 2331 | "error_result": error_result, |
| 2332 | "error_reason": error_reason, |
| 2333 | "param_reqs": param_reqs, |
| 2334 | } |
| 2335 | return info_dict |
| 2336 | |
| 2337 | @staticmethod |
| 2338 | def evInputListBodyGraphInputMismatch(check=False, **kwargs): |
| 2339 | error_name = ErrorIf.InputListBodyGraphInputMismatch |
| 2340 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2341 | error_result = False |
| 2342 | error_reason = "Input list does not match body graph input" |
| 2343 | |
| 2344 | if check: |
| 2345 | basicBlocks = kwargs["basicBlocks"] |
| 2346 | while_block = basicBlocks[0] |
| 2347 | while_inputs = while_block.inputs |
| 2348 | while_tens = while_block.tensors |
| 2349 | body_block = basicBlocks[2] |
| 2350 | body_outputs = body_block.inputs |
| 2351 | body_tens = body_block.tensors |
| 2352 | if ( |
| 2353 | while_tens[while_inputs[0]].shape != body_tens[body_outputs[0]].shape |
| 2354 | ) or ( |
| 2355 | while_tens[while_inputs[1]].shape != body_tens[body_outputs[2]].shape |
| 2356 | ): |
| 2357 | error_result = True |
| 2358 | |
| 2359 | info_dict = { |
| 2360 | "error_name": error_name, |
| 2361 | "error_result": error_result, |
| 2362 | "error_reason": error_reason, |
| 2363 | "param_reqs": param_reqs, |
| 2364 | } |
| 2365 | return info_dict |
| 2366 | |
| 2367 | @staticmethod |
| 2368 | def evInputListBodyGraphOutputMismatch(check=False, **kwargs): |
| 2369 | error_name = ErrorIf.InputListBodyGraphOutputMismatch |
| 2370 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2371 | error_result = False |
| 2372 | error_reason = "Input list does not match body graph output" |
| 2373 | |
| 2374 | if check: |
| 2375 | basicBlocks = kwargs["basicBlocks"] |
| 2376 | while_block = basicBlocks[0] |
| 2377 | while_inputs = while_block.inputs |
| 2378 | while_tens = while_block.tensors |
| 2379 | body_block = basicBlocks[2] |
| 2380 | body_outputs = body_block.outputs |
| 2381 | body_tens = body_block.tensors |
| 2382 | if ( |
| 2383 | while_tens[while_inputs[0]].shape != body_tens[body_outputs[0]].shape |
| 2384 | ) or ( |
| 2385 | while_tens[while_inputs[1]].shape != body_tens[body_outputs[2]].shape |
| 2386 | ): |
| 2387 | error_result = True |
| 2388 | info_dict = { |
| 2389 | "error_name": error_name, |
| 2390 | "error_result": error_result, |
| 2391 | "error_reason": error_reason, |
| 2392 | "param_reqs": param_reqs, |
| 2393 | } |
| 2394 | return info_dict |
| 2395 | |
| 2396 | @staticmethod |
| 2397 | def evCondGraphOutputNotMatchingBool(check=False, **kwargs): |
| 2398 | error_name = ErrorIf.CondGraphOutputNotMatchingBool |
| 2399 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2400 | error_result = False |
| 2401 | error_reason = "Cond graph output is not a match list of booleans" |
| 2402 | |
| 2403 | if check: |
| 2404 | basicBlocks = kwargs["basicBlocks"] |
| 2405 | cond_block = basicBlocks[1] |
| 2406 | cond_outputs = cond_block.outputs |
| 2407 | cond_tens = cond_block.tensors |
| 2408 | if cond_tens[cond_outputs[0]].dtype != DType.BOOL: |
| 2409 | error_result = True |
| 2410 | |
| 2411 | info_dict = { |
| 2412 | "error_name": error_name, |
| 2413 | "error_result": error_result, |
| 2414 | "error_reason": error_reason, |
| 2415 | "param_reqs": param_reqs, |
| 2416 | } |
| 2417 | return info_dict |
| 2418 | |
Jeremy Johnson | 05c711e | 2022-12-12 18:00:41 +0000 | [diff] [blame] | 2419 | @staticmethod |
| 2420 | def evCondGraphOutputShapeNotSizeOne(check=False, **kwargs): |
| 2421 | error_name = ErrorIf.CondGraphOutputShapeNotSizeOne |
| 2422 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2423 | error_result = False |
| 2424 | error_reason = "Cond graph output is not a shape of size one" |
| 2425 | |
| 2426 | if check: |
| 2427 | basicBlocks = kwargs["basicBlocks"] |
| 2428 | cond_block = basicBlocks[1] |
| 2429 | cond_outputs = cond_block.outputs |
| 2430 | cond_tens = cond_block.tensors |
| 2431 | # Size of 1 is equivalent to rank 0 |
| 2432 | if len(cond_tens[cond_outputs[0]].shape) != 0: |
| 2433 | error_result = True |
| 2434 | |
| 2435 | info_dict = { |
| 2436 | "error_name": error_name, |
| 2437 | "error_result": error_result, |
| 2438 | "error_reason": error_reason, |
| 2439 | "param_reqs": param_reqs, |
| 2440 | } |
| 2441 | return info_dict |
| 2442 | |
Luke Hutton | 261b7b6 | 2023-01-10 14:50:31 +0000 | [diff] [blame] | 2443 | @staticmethod |
| 2444 | def evKernelNotPowerOfTwo(check=False, **kwargs): |
| 2445 | error_name = ErrorIf.KernelNotPowerOfTwo |
| 2446 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2447 | error_result = False |
| 2448 | error_reason = "kernel height and/or width not a power of two" |
| 2449 | |
| 2450 | def is_power_of_two(x): |
| 2451 | return math.log(x, 2).is_integer() |
| 2452 | |
| 2453 | if check: |
| 2454 | shape = kwargs["input_shape"] |
| 2455 | if len(shape) == 3: |
| 2456 | valid_kernel = is_power_of_two(shape[1]) and is_power_of_two(shape[2]) |
| 2457 | error_result = not valid_kernel |
| 2458 | |
| 2459 | info_dict = { |
| 2460 | "error_name": error_name, |
| 2461 | "error_result": error_result, |
| 2462 | "error_reason": error_reason, |
| 2463 | "param_reqs": param_reqs, |
| 2464 | } |
| 2465 | return info_dict |
| 2466 | |
Luke Hutton | 5728713 | 2023-02-06 14:54:18 +0000 | [diff] [blame] | 2467 | @staticmethod |
| 2468 | def evFFTInputShapeMismatch(check=False, **kwargs): |
| 2469 | error_name = ErrorIf.FFTInputShapeMismatch |
| 2470 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2471 | error_result = False |
| 2472 | error_reason = "Mismatch between real and imaginary input shapes" |
| 2473 | |
| 2474 | if check: |
| 2475 | input1 = kwargs["input1"] |
| 2476 | input2 = kwargs["input2"] |
| 2477 | |
| 2478 | if input1.shape != input2.shape: |
| 2479 | error_result = True |
| 2480 | |
| 2481 | info_dict = { |
| 2482 | "error_name": error_name, |
| 2483 | "error_result": error_result, |
| 2484 | "error_reason": error_reason, |
| 2485 | "param_reqs": param_reqs, |
| 2486 | } |
| 2487 | return info_dict |
| 2488 | |
| 2489 | @staticmethod |
| 2490 | def evFFTOutputShapeMismatch(check=False, **kwargs): |
| 2491 | error_name = ErrorIf.FFTOutputShapeMismatch |
| 2492 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2493 | error_result = False |
| 2494 | error_reason = ( |
| 2495 | "Mismatch between provided and expected output kernel (H, W) shape" |
| 2496 | ) |
| 2497 | |
| 2498 | if check: |
| 2499 | op = kwargs["op"] |
| 2500 | input_shape = kwargs["input_shape"] |
| 2501 | |
| 2502 | if len(input_shape) == 3: |
| 2503 | output_shapes = kwargs["output_shape"] |
| 2504 | |
| 2505 | # Ignoring batch size (N) from input shape |
| 2506 | expected_shape = input_shape[1:] |
| 2507 | if op["op"] == Op.RFFT2D: |
| 2508 | expected_shape[1] = expected_shape[1] // 2 + 1 |
| 2509 | |
| 2510 | # Ignoring batch size (N) from output shapes |
| 2511 | output_shape_0 = output_shapes[0][1:] |
| 2512 | output_shape_1 = output_shapes[1][1:] |
| 2513 | # Ensure sure the kernel sizes (H, W) of both outputs match the expected |
| 2514 | if output_shape_0 != output_shape_1 or output_shape_0 != expected_shape: |
| 2515 | error_result = True |
| 2516 | |
| 2517 | info_dict = { |
| 2518 | "error_name": error_name, |
| 2519 | "error_result": error_result, |
| 2520 | "error_reason": error_reason, |
| 2521 | "param_reqs": param_reqs, |
| 2522 | } |
| 2523 | return info_dict |
| 2524 | |
Jerry Ge | 264f7fa | 2023-04-21 22:49:57 +0000 | [diff] [blame] | 2525 | @staticmethod |
| 2526 | def evReshapeOutputSizeMultiInference(check=False, **kwargs): |
| 2527 | error_name = ErrorIf.ReshapeOutputSizeMultiInference |
| 2528 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2529 | error_result = False |
| 2530 | error_reason = "Reshape output tensor contains more than one inferred dimension" |
| 2531 | |
| 2532 | if check: |
| 2533 | output_shape = kwargs["output_shape"] |
| 2534 | inferences = 0 |
| 2535 | for dim in output_shape: |
| 2536 | if dim == -1: |
| 2537 | inferences += 1 |
| 2538 | if inferences > 1: |
| 2539 | error_result = True |
| 2540 | |
| 2541 | info_dict = { |
| 2542 | "error_name": error_name, |
| 2543 | "error_result": error_result, |
| 2544 | "error_reason": error_reason, |
| 2545 | "param_reqs": param_reqs, |
| 2546 | } |
| 2547 | return info_dict |
| 2548 | |
| 2549 | @staticmethod |
| 2550 | def evReshapeOutputSizeNonInteger(check=False, **kwargs): |
| 2551 | error_name = ErrorIf.ReshapeOutputSizeNonInteger |
| 2552 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2553 | error_result = False |
| 2554 | error_reason = "Reshape inferred output tensor dimension is non-integer" |
| 2555 | |
| 2556 | if check: |
| 2557 | input_shape = kwargs["input_shape"] |
| 2558 | output_shape = kwargs["output_shape"] |
| 2559 | input_size = np.prod(input_shape) |
| 2560 | output_size = 1 |
| 2561 | for dim in output_shape: |
| 2562 | if dim != -1: |
| 2563 | output_size *= dim |
| 2564 | if -1 in output_shape and input_size % output_size != 0: |
| 2565 | error_result = True |
| 2566 | |
| 2567 | info_dict = { |
| 2568 | "error_name": error_name, |
| 2569 | "error_result": error_result, |
| 2570 | "error_reason": error_reason, |
| 2571 | "param_reqs": param_reqs, |
| 2572 | } |
| 2573 | return info_dict |
| 2574 | |
Jerry Ge | 135c955 | 2023-05-23 20:59:32 +0000 | [diff] [blame] | 2575 | @staticmethod |
| 2576 | def calculateBroadcastShape(input_shape_a, input_shape_b): |
| 2577 | if input_shape_a is not None and input_shape_b is not None: |
| 2578 | calculated_shape = input_shape_a.copy() |
| 2579 | for idx in range(len(calculated_shape)): |
| 2580 | if calculated_shape[idx] == 1: |
| 2581 | calculated_shape[idx] = input_shape_b[idx] |
| 2582 | elif ( |
| 2583 | input_shape_b[idx] != 1 |
| 2584 | and input_shape_b[idx] != calculated_shape[idx] |
| 2585 | ): |
| 2586 | return None |
| 2587 | return calculated_shape |
| 2588 | else: |
| 2589 | return None |
| 2590 | |
| 2591 | @staticmethod |
| 2592 | def evBroadcastShapesMismatch(check=False, **kwargs): |
| 2593 | error_name = ErrorIf.BroadcastShapesMismatch |
| 2594 | param_reqs = {"rank": None, "dtype": None, "shape": None} |
| 2595 | error_result = False |
| 2596 | error_reason = "Broadcast shape calculating failed" |
| 2597 | |
| 2598 | if check: |
| 2599 | input_shape_a = kwargs["input1"].shape |
| 2600 | input_shape_b = kwargs["input2"].shape |
| 2601 | input_shape_c = ( |
| 2602 | kwargs["input3"].shape if "input3" in kwargs else input_shape_b |
| 2603 | ) |
| 2604 | |
| 2605 | if len(input_shape_a) == len(input_shape_b) == len(input_shape_c): |
| 2606 | calculated_shape = TosaErrorValidator.calculateBroadcastShape( |
| 2607 | input_shape_c, |
| 2608 | TosaErrorValidator.calculateBroadcastShape( |
| 2609 | input_shape_a, input_shape_b |
| 2610 | ), |
| 2611 | ) |
| 2612 | error_result = calculated_shape is None |
| 2613 | |
| 2614 | info_dict = { |
| 2615 | "error_name": error_name, |
| 2616 | "error_result": error_result, |
| 2617 | "error_reason": error_reason, |
| 2618 | "param_reqs": param_reqs, |
| 2619 | } |
| 2620 | return info_dict |
| 2621 | |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2622 | |
| 2623 | class TosaInvalidValidator: |
| 2624 | @staticmethod |
| 2625 | def ivWrongDataTypeOrModeResize(**kwargs): |
| 2626 | input_dtype = kwargs["input_dtype"] |
| 2627 | args = kwargs["args"] |
| 2628 | mode = args[0] |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 2629 | output_dtype = args[5] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2630 | |
| 2631 | if mode == ResizeMode.BILINEAR: |
| 2632 | # Invalid output data type / Invalid input datatype |
| 2633 | return ( |
| 2634 | not (input_dtype == DType.INT8 and output_dtype == DType.INT32) |
Jeremy Johnson | a0e03f3 | 2022-06-13 17:48:09 +0100 | [diff] [blame] | 2635 | and not (input_dtype == DType.INT16 and output_dtype == DType.INT48) |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 2636 | and not (input_dtype == DType.FP16 and output_dtype == DType.FP16) |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 2637 | and not (input_dtype == DType.BF16 and output_dtype == DType.BF16) |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 2638 | and not (input_dtype == DType.FP32 and output_dtype == DType.FP32) |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2639 | ) |
| 2640 | elif mode == ResizeMode.NEAREST: |
| 2641 | # Invalid output data type / Invalid input datatype |
| 2642 | return (input_dtype != output_dtype) or ( |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 2643 | input_dtype |
| 2644 | not in [DType.INT8, DType.INT16, DType.FP16, DType.BF16, DType.FP32] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2645 | ) |
| 2646 | else: |
| 2647 | # Invalid resize mode |
| 2648 | return True |
| 2649 | |
| 2650 | @staticmethod |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2651 | def ivHeightWidthInvalid(**kwargs): |
| 2652 | opName = kwargs["opName"] |
| 2653 | |
| 2654 | inputShapes = kwargs["shapeList"] |
| 2655 | input_shape = inputShapes[0] |
| 2656 | |
| 2657 | args = kwargs["args"] |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 2658 | |
Jeremy Johnson | d41feb7 | 2023-10-12 16:03:15 +0100 | [diff] [blame] | 2659 | if isinstance(args, dict): |
| 2660 | args_dict = args |
| 2661 | else: |
| 2662 | # Create args_dict from list elements |
| 2663 | # TODO - Remove this once all NWHC operators agFunctions have been |
| 2664 | # converted to args_dict output |
| 2665 | |
| 2666 | # Skip accum_dtype arg (apart from MaxPool2D that doesn't have one) |
| 2667 | stride_idx, pad_idx = (1, 2) if opName != "max_pool2d" else (0, 1) |
| 2668 | args_dict = {"stride": args[stride_idx], "pad": args[pad_idx]} |
| 2669 | # Alias different info for each op |
| 2670 | args_dict["kernel"] = args[pad_idx + 1] |
| 2671 | args_dict["out_shape"] = args[pad_idx + 1] |
| 2672 | args_dict["dilation"] = args[pad_idx + 1] |
Jeremy Johnson | 0c71686 | 2023-04-13 17:18:19 +0100 | [diff] [blame] | 2673 | |
| 2674 | # Common info for all ops |
Jeremy Johnson | d41feb7 | 2023-10-12 16:03:15 +0100 | [diff] [blame] | 2675 | strides = args_dict["stride"] |
| 2676 | padding = args_dict["pad"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2677 | |
| 2678 | if opName.endswith("pool2d"): |
| 2679 | # avg_pool2d, max_pool2d |
Jeremy Johnson | d41feb7 | 2023-10-12 16:03:15 +0100 | [diff] [blame] | 2680 | kernel_shape = args_dict["kernel"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2681 | h = ( |
| 2682 | input_shape[1] + padding[0] + padding[1] + strides[0] - kernel_shape[0] |
| 2683 | ) // strides[0] |
| 2684 | w = ( |
| 2685 | input_shape[2] + padding[2] + padding[3] + strides[1] - kernel_shape[1] |
| 2686 | ) // strides[1] |
| 2687 | # return True if any dimension is < 1 |
| 2688 | return h < 1 or w < 1 |
| 2689 | |
| 2690 | if opName.startswith("transpose_conv2d"): |
| 2691 | # transpose_conv2d |
Jeremy Johnson | d41feb7 | 2023-10-12 16:03:15 +0100 | [diff] [blame] | 2692 | output_shape = args_dict["out_shape"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2693 | filter_shape = inputShapes[1] |
| 2694 | kernel_shape = filter_shape[1:-1] |
| 2695 | |
TatWai Chong | 24594f5 | 2022-06-08 00:48:04 -0700 | [diff] [blame] | 2696 | def get_out_size(in_size, stride, kernel_size, out_pad, in_pad): |
Jeremy Johnson | 0c71686 | 2023-04-13 17:18:19 +0100 | [diff] [blame] | 2697 | """Calculate the transpose_conv2d output size for a dimension.""" |
| 2698 | return (in_size - 1) * stride + kernel_size + in_pad + out_pad |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2699 | |
Jeremy Johnson | 0c71686 | 2023-04-13 17:18:19 +0100 | [diff] [blame] | 2700 | h = get_out_size( |
| 2701 | input_shape[1], |
| 2702 | strides[0], |
| 2703 | kernel_shape[0], |
| 2704 | padding[0], |
| 2705 | padding[1], |
| 2706 | ) |
| 2707 | w = get_out_size( |
| 2708 | input_shape[2], |
| 2709 | strides[1], |
| 2710 | kernel_shape[1], |
| 2711 | padding[2], |
| 2712 | padding[3], |
| 2713 | ) |
| 2714 | if output_shape[1] == h and output_shape[2] == w: |
| 2715 | return False |
| 2716 | # output shape does not match the expected shape |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2717 | return True |
| 2718 | |
| 2719 | if "conv2d" in opName or "conv3d" in opName: |
| 2720 | # conv2d, conv3d, depthwise_conv2d |
Jeremy Johnson | d41feb7 | 2023-10-12 16:03:15 +0100 | [diff] [blame] | 2721 | dilations = args_dict["dilation"] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2722 | filter_shape = inputShapes[1] |
| 2723 | kernel_shape = ( |
| 2724 | filter_shape[0:2] |
| 2725 | if opName.startswith("depthwise_conv2d") |
| 2726 | else filter_shape[1:-1] |
| 2727 | ) |
| 2728 | |
| 2729 | for i in range(len(kernel_shape)): |
Jeremy Johnson | 0c71686 | 2023-04-13 17:18:19 +0100 | [diff] [blame] | 2730 | pad_offset = i * 2 |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2731 | dim = ( |
| 2732 | input_shape[i + 1] |
Jeremy Johnson | 0c71686 | 2023-04-13 17:18:19 +0100 | [diff] [blame] | 2733 | - 1 |
| 2734 | + padding[pad_offset] |
| 2735 | + padding[pad_offset + 1] |
| 2736 | - (kernel_shape[i] - 1) * dilations[i] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2737 | ) // strides[i] + 1 |
| 2738 | # return True if any dimension is < 1 |
| 2739 | if dim < 1: |
| 2740 | return True |
| 2741 | return False |
| 2742 | |
| 2743 | assert False, f"Unrecognized Op: {opName}" |
| 2744 | |
| 2745 | @staticmethod |
| 2746 | def ivNonPositiveOutputShape(**kwargs): |
| 2747 | args = kwargs["args"] |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 2748 | output_shape = args[3] |
Jeremy Johnson | 9a66abb | 2022-04-07 11:29:20 +0100 | [diff] [blame] | 2749 | if output_shape[1] <= 0 or output_shape[2] <= 0: |
| 2750 | # Negative output shape |
| 2751 | return True |
| 2752 | return False |