Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 1 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 2 | // Copyright (c) 2020-2022, ARM Limited. |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 3 | // |
| 4 | // Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | // you may not use this file except in compliance with the License. |
| 6 | // You may obtain a copy of the License at |
| 7 | // |
| 8 | // http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | // |
| 10 | // Unless required by applicable law or agreed to in writing, software |
| 11 | // distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | // See the License for the specific language governing permissions and |
| 14 | // limitations under the License. |
| 15 | |
| 16 | #include "data_layout.h" |
| 17 | #include "quant_util.h" |
| 18 | |
| 19 | using namespace TosaReference; |
| 20 | using namespace Eigen; |
| 21 | using namespace tosa; |
| 22 | |
| 23 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 24 | OpConcat<Rank, Dtype>::OpConcat(SubgraphTraverser* sgt_, |
| 25 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 26 | uint64_t id_) |
| 27 | : GraphNode(sgt_, Op_CONCAT, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 28 | { |
Kevin Cheng | ad15dfa | 2021-03-04 15:15:03 -0800 | [diff] [blame] | 29 | setRequiredOperands(-1, 1); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 30 | setRequiredRank(1, 6); |
| 31 | |
| 32 | INIT_ATTRIBUTE(Axis); |
| 33 | } |
| 34 | |
| 35 | template <int Rank, DType Dtype> |
| 36 | OpConcat<Rank, Dtype>::~OpConcat() |
| 37 | { |
| 38 | if (attribute) |
| 39 | delete attribute; |
| 40 | } |
| 41 | |
| 42 | template <int Rank, DType Dtype> |
| 43 | int OpConcat<Rank, Dtype>::checkTensorAttributes() |
| 44 | { |
| 45 | if (validateRequiredOperands()) |
| 46 | return 1; |
| 47 | |
Kevin Cheng | ad15dfa | 2021-03-04 15:15:03 -0800 | [diff] [blame] | 48 | if (inputs.empty()) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 49 | { |
Kevin Cheng | ad15dfa | 2021-03-04 15:15:03 -0800 | [diff] [blame] | 50 | printNodeValidationError("Concat operator must have at least one input tensor"); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 51 | return 1; |
| 52 | } |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 53 | |
| 54 | int32_t num_inputs = inputs.size(); |
| 55 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 56 | // output and input must be the same types and rank |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 57 | for (int32_t i = 0; i < num_inputs; i++) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 58 | { |
Kevin Cheng | ad15dfa | 2021-03-04 15:15:03 -0800 | [diff] [blame] | 59 | if (inputs[i]->matchRankType(*outputs[0])) |
| 60 | { |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 61 | printNodeValidationError("OpConcat: input ranks and types must match"); |
Kevin Cheng | ad15dfa | 2021-03-04 15:15:03 -0800 | [diff] [blame] | 62 | return 1; |
| 63 | } |
| 64 | ins.push_back(dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[i])); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 65 | } |
| 66 | |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 67 | if (attribute->axis() < 0 || (size_t)attribute->axis() >= Rank) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 68 | { |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 69 | printNodeValidationError("OpConcat: axis is beyond output tensor rank"); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 70 | return 1; |
| 71 | } |
| 72 | |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 73 | int32_t output_dim_on_axis = 0; |
| 74 | for (int32_t j = 0; j < num_inputs; j++) |
| 75 | { |
| 76 | for (int32_t i = 0; i < Rank; i++) |
| 77 | { |
| 78 | int32_t input_dim = inputs[j]->getShape()[i]; |
| 79 | if (i == attribute->axis()) |
| 80 | { |
| 81 | output_dim_on_axis += input_dim; |
| 82 | } |
| 83 | else if (input_dim != outputs[0]->getShape()[i]) |
| 84 | { |
| 85 | printNodeValidationError("OpConcat: input dimension not matching output dimension"); |
| 86 | return 1; |
| 87 | } |
| 88 | } |
| 89 | } |
| 90 | |
Kevin Cheng | 6e52866 | 2021-10-20 17:35:33 +0000 | [diff] [blame] | 91 | ERROR_IF(output_dim_on_axis != outputs[0]->getShape()[attribute->axis()], |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 92 | "OpConcat: sum of input dimension on axis not equal to output dimension on axis"); |
| 93 | |
| 94 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 95 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 96 | return 0; |
| 97 | } |
| 98 | |
| 99 | template <int Rank, DType Dtype> |
| 100 | int OpConcat<Rank, Dtype>::eval() |
| 101 | { |
| 102 | |
| 103 | int32_t reversed_axis = Rank - 1 - attribute->axis(); |
| 104 | |
| 105 | for (int32_t d = 0; d < Rank; d++) |
| 106 | { |
| 107 | reverser[d] = Rank - 1 - d; |
| 108 | } |
| 109 | |
Kevin Cheng | ad15dfa | 2021-03-04 15:15:03 -0800 | [diff] [blame] | 110 | TIn result = ins[0]->getTensor().shuffle(reverser); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 111 | |
Kevin Cheng | ad15dfa | 2021-03-04 15:15:03 -0800 | [diff] [blame] | 112 | for (size_t i = 1; i < ins.size(); i++) |
| 113 | { |
| 114 | TIn in_reversed = ins[i]->getTensor().shuffle(reverser); |
| 115 | TIn temp = result.concatenate(in_reversed, reversed_axis); |
| 116 | result = temp; |
| 117 | } |
| 118 | out->getTensor() = result.shuffle(reverser); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 119 | |
| 120 | return GraphNode::eval(); |
| 121 | } |
| 122 | |
| 123 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 124 | OpPad<Rank, Dtype>::OpPad(SubgraphTraverser* sgt_, |
| 125 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 126 | uint64_t id_) |
| 127 | : GraphNode(sgt_, Op_PAD, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 128 | { |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 129 | setRequiredOperands(1, 1); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 130 | setRequiredRank(0, 6); |
| 131 | |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 132 | INIT_ATTRIBUTE(Pad); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 133 | } |
| 134 | |
| 135 | template <int Rank, DType Dtype> |
| 136 | OpPad<Rank, Dtype>::~OpPad() |
| 137 | { |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 138 | } |
| 139 | |
| 140 | template <int Rank, DType Dtype> |
| 141 | int OpPad<Rank, Dtype>::checkTensorAttributes() |
| 142 | { |
| 143 | if (validateRequiredOperands()) |
| 144 | return 1; |
| 145 | |
| 146 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 147 | { |
| 148 | return 1; |
| 149 | } |
| 150 | |
| 151 | // output and input must be the same types |
| 152 | if (inputs[0]->matchRankType(*outputs[0])) |
| 153 | { |
| 154 | printNodeValidationError("Failure to match input and output type and rank"); |
| 155 | return 1; |
| 156 | } |
| 157 | |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 158 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 159 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 160 | ASSERT_MEM(in && out); |
| 161 | |
| 162 | // padding in spec is 2D array in shape of [Rank, 2] |
| 163 | // Reference model implement this as 1D array of [Rank * 2], with ordering: |
| 164 | // [Rank0_front, Rank0_back, Rank1_front, Rank1_back, ..., Rank(N-1)_front, Rank(N-1)_back] |
| 165 | ERROR_IF(attribute->padding().size() != (Rank * 2), "OpPad: padding length needs to be (rank(input1) * 2)"); |
| 166 | |
| 167 | for (int i = 0; i < Rank; i++) |
| 168 | { |
| 169 | int32_t pad_front = attribute->padding()[2 * i]; |
| 170 | int32_t pad_back = attribute->padding()[2 * i + 1]; |
| 171 | ERROR_IF((pad_front < 0) || (pad_back < 0), "OpPad: padding can't be smaller than 0"); |
Eric Kunze | 3c59d5d | 2022-08-15 11:30:33 -0700 | [diff] [blame] | 172 | ERROR_IF(out->getShape()[i] != pad_front + in->getShape()[i] + pad_back, |
| 173 | "OpPad: output shape not equal to input plus padding"); |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 174 | paddings_array[i] = std::make_pair(pad_front, pad_back); |
| 175 | } |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 176 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 177 | return 0; |
| 178 | } |
| 179 | |
| 180 | template <int Rank, DType Dtype> |
| 181 | int OpPad<Rank, Dtype>::eval() |
| 182 | { |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 183 | InEigenType pad_value = 0; |
| 184 | |
| 185 | switch (Dtype) |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 186 | { |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 187 | case DType_BOOL: |
| 188 | case DType_INT8: |
| 189 | case DType_INT16: |
| 190 | case DType_INT32: |
| 191 | pad_value = (InEigenType)attribute->pad_const_int(); |
| 192 | break; |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 193 | case DType_FP16: |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 194 | case DType_FP32: |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 195 | pad_value = (InEigenType)attribute->pad_const_fp(); |
| 196 | break; |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 197 | default: |
| 198 | printNodeValidationError("Unsupported data type"); |
| 199 | break; |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 200 | } |
| 201 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 202 | this->out->getTensor() = this->in->getTensor().pad(this->paddings_array, pad_value); |
| 203 | |
| 204 | return GraphNode::eval(); |
| 205 | } |
| 206 | |
| 207 | template <int InRank, int OutRank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 208 | OpReshape<InRank, OutRank, Dtype>::OpReshape(SubgraphTraverser* sgt_, |
| 209 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 210 | uint64_t id_) |
| 211 | : GraphNode(sgt_, Op_RESHAPE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 212 | { |
| 213 | setRequiredOperands(1, 1); |
| 214 | setRequiredRank(0, 6); |
| 215 | |
| 216 | INIT_ATTRIBUTE(Reshape); |
| 217 | } |
| 218 | |
| 219 | template <int InRank, int OutRank, DType Dtype> |
| 220 | OpReshape<InRank, OutRank, Dtype>::~OpReshape() |
| 221 | { |
| 222 | if (attribute) |
| 223 | delete attribute; |
| 224 | } |
| 225 | |
| 226 | template <int InRank, int OutRank, DType Dtype> |
| 227 | int OpReshape<InRank, OutRank, Dtype>::checkTensorAttributes() |
| 228 | { |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 229 | if (validateRequiredOperands()) |
| 230 | return 1; |
| 231 | |
| 232 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 233 | { |
| 234 | return 1; |
| 235 | } |
| 236 | |
| 237 | // output and input must be the same types |
| 238 | if (inputs[0]->matchType(*outputs[0])) |
| 239 | { |
| 240 | printNodeValidationError("OpReshape: Input and output types must match"); |
| 241 | return 1; |
| 242 | } |
| 243 | |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 244 | ERROR_IF(inputs[0]->getElementCount() != outputs[0]->getElementCount(), |
| 245 | "Input tensor size does not match output tensor size"); |
| 246 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 247 | for (uint32_t d = 0; d < OutRank; d++) |
| 248 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 249 | ERROR_IF(attribute->new_shape()[d] != outputs[0]->getShape()[d], |
Jeremy Johnson | c23fc3b | 2022-05-30 16:51:21 +0100 | [diff] [blame] | 250 | "OpReshape: new_shape doesn't match output shape"); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 251 | } |
| 252 | |
| 253 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 254 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 255 | |
| 256 | return 0; |
| 257 | } |
| 258 | |
| 259 | template <int InRank, int OutRank, DType Dtype> |
| 260 | int OpReshape<InRank, OutRank, Dtype>::eval() |
| 261 | { |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 262 | for (int32_t d = 0; d < OutRank; d++) |
| 263 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 264 | array_shape[d] = attribute->new_shape()[OutRank - 1 - d]; |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 265 | out_reverser[d] = OutRank - 1 - d; |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 266 | } |
| 267 | |
| 268 | for (int32_t d = 0; d < InRank; d++) |
| 269 | { |
| 270 | in_reverser[d] = InRank - 1 - d; |
| 271 | } |
| 272 | |
| 273 | // Eigen Tensor is col-major, and we're referencing row-major result |
| 274 | // need to reverse it to row-major before reshape, and perform another reverse afterward |
| 275 | |
| 276 | // input tensor rank 0 can't do .shuffle(), need to be handled otherwise |
| 277 | TIn in_reversed; |
| 278 | if (InRank > 1) |
| 279 | { |
| 280 | in_reversed = in->getTensor().shuffle(in_reverser); |
| 281 | } |
| 282 | else |
| 283 | { |
| 284 | in_reversed = in->getTensor(); |
| 285 | } |
| 286 | |
| 287 | TOut in_reshaped = in_reversed.reshape(array_shape); |
| 288 | |
| 289 | // output tensor can be rank 0, .reshape() and .shuffle() don't work, need to be handled otherwise |
| 290 | if (OutRank > 1) |
| 291 | { |
| 292 | out->getTensor() = in_reshaped.shuffle(out_reverser); |
| 293 | } |
| 294 | else |
| 295 | { |
| 296 | out->getTensor() = in_reshaped; |
| 297 | } |
| 298 | |
| 299 | return GraphNode::eval(); |
| 300 | } |
| 301 | |
| 302 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 303 | OpReverse<Rank, Dtype>::OpReverse(SubgraphTraverser* sgt_, |
| 304 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 305 | uint64_t id_) |
| 306 | : GraphNode(sgt_, Op_REVERSE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 307 | { |
| 308 | setRequiredOperands(1, 1); |
| 309 | setRequiredRank(1, 6); |
| 310 | |
| 311 | INIT_ATTRIBUTE(Axis); |
| 312 | } |
| 313 | |
| 314 | template <int Rank, DType Dtype> |
| 315 | OpReverse<Rank, Dtype>::~OpReverse() |
| 316 | { |
| 317 | if (attribute) |
| 318 | delete attribute; |
| 319 | } |
| 320 | |
| 321 | template <int Rank, DType Dtype> |
| 322 | int OpReverse<Rank, Dtype>::checkTensorAttributes() |
| 323 | { |
| 324 | if (validateRequiredOperands()) |
| 325 | return 1; |
| 326 | |
| 327 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 328 | { |
| 329 | return 1; |
| 330 | } |
| 331 | |
| 332 | // output and input must be the same types |
| 333 | if (inputs[0]->matchRankTypeShape(*outputs[0])) |
| 334 | { |
| 335 | printNodeValidationError("Failure to match input and output rank/type/shape"); |
| 336 | return 1; |
| 337 | } |
| 338 | |
| 339 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 340 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 341 | |
| 342 | ASSERT_MEM(in && out); |
| 343 | |
| 344 | if (attribute->axis() < 0 || attribute->axis() >= inputs[0]->getRank()) |
| 345 | { |
| 346 | printNodeValidationError("Reverse axis must between [0, input_rank - 1]"); |
| 347 | return 1; |
| 348 | } |
| 349 | |
| 350 | // transform list of axis into true or false list |
| 351 | // e.g. rank=4, axis=[1,2], reverse array would be [false, true, true, false] |
| 352 | for (int i = 0; i < Rank; i++) |
| 353 | { |
| 354 | reverse_array[i] = false; |
| 355 | } |
| 356 | reverse_array[attribute->axis()] = true; |
| 357 | |
| 358 | return 0; |
| 359 | } |
| 360 | |
| 361 | template <int Rank, DType Dtype> |
| 362 | int OpReverse<Rank, Dtype>::eval() |
| 363 | { |
| 364 | out->getTensor() = in->getTensor().reverse(reverse_array); |
| 365 | |
| 366 | return GraphNode::eval(); |
| 367 | } |
| 368 | |
| 369 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 370 | OpSlice<Rank, Dtype>::OpSlice(SubgraphTraverser* sgt_, |
| 371 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 372 | uint64_t id_) |
| 373 | : GraphNode(sgt_, Op_SLICE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 374 | { |
| 375 | setRequiredOperands(1, 1); |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 376 | setRequiredRank(1, 4); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 377 | |
| 378 | INIT_ATTRIBUTE(Slice); |
| 379 | } |
| 380 | |
| 381 | template <int Rank, DType Dtype> |
| 382 | OpSlice<Rank, Dtype>::~OpSlice() |
| 383 | { |
| 384 | if (attribute) |
| 385 | delete attribute; |
| 386 | } |
| 387 | |
| 388 | template <int Rank, DType Dtype> |
| 389 | int OpSlice<Rank, Dtype>::checkTensorAttributes() |
| 390 | { |
| 391 | if (validateRequiredOperands()) |
| 392 | return 1; |
| 393 | |
| 394 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 395 | { |
| 396 | return 1; |
| 397 | } |
| 398 | |
| 399 | // output and input must be the same types |
| 400 | if (inputs[0]->matchType(*outputs[0])) |
| 401 | { |
| 402 | printNodeValidationError("Failure to match input and output type"); |
| 403 | return 1; |
| 404 | } |
| 405 | |
| 406 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 407 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 408 | |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 409 | ERROR_IF((int32_t)attribute->start().size() != in->getRank(), |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 410 | "OpSlice: begin array length needs to be rank(input)"); |
| 411 | ERROR_IF((int32_t)attribute->size().size() != in->getRank(), "OpSlice: size array length needs to be rank(input)"); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 412 | |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 413 | for (int32_t i = 0; i < in->getRank(); i++) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 414 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 415 | int32_t b = attribute->start()[i]; |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 416 | int32_t s = attribute->size()[i]; |
| 417 | ERROR_IF(b < 0 || b >= in->getShape()[i], "OpSlice: start out of boundary"); |
| 418 | ERROR_IF((b + s) < 0 || (b + s) > in->getShape()[i], "OpSlice: (start+size) out of boundary"); |
| 419 | ERROR_IF(s <= 0, "OpSlice: output must be positive"); |
| 420 | ERROR_IF(s != out->getShape()[i], "OpSlice: size doesn't match output tensor dimension"); |
| 421 | begin_array[i] = b; |
| 422 | size_array[i] = s; |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 423 | } |
| 424 | |
| 425 | return 0; |
| 426 | } |
| 427 | |
| 428 | template <int Rank, DType Dtype> |
| 429 | int OpSlice<Rank, Dtype>::eval() |
| 430 | { |
| 431 | out->getTensor() = in->getTensor().slice(begin_array, size_array); |
| 432 | |
| 433 | return GraphNode::eval(); |
| 434 | } |
| 435 | |
| 436 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 437 | OpTileBase<Rank, Dtype>::OpTileBase(SubgraphTraverser* sgt_, |
| 438 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 439 | uint64_t id_) |
| 440 | : GraphNode(sgt_, Op_TILE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 441 | { |
| 442 | setRequiredOperands(1, 1); |
| 443 | setRequiredRank(0, 6); |
| 444 | |
| 445 | INIT_ATTRIBUTE(Tile); |
| 446 | } |
| 447 | |
| 448 | template <int Rank, DType Dtype> |
| 449 | OpTileBase<Rank, Dtype>::~OpTileBase() |
| 450 | { |
| 451 | if (attribute) |
| 452 | delete attribute; |
| 453 | } |
| 454 | |
| 455 | template <int Rank, DType Dtype> |
| 456 | int OpTileBase<Rank, Dtype>::checkTensorAttributes() |
| 457 | { |
| 458 | if (validateRequiredOperands()) |
| 459 | return 1; |
| 460 | |
| 461 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 462 | { |
| 463 | return 1; |
| 464 | } |
| 465 | |
| 466 | // output and input must be the same ranks and types |
| 467 | if (inputs[0]->matchRankType(*outputs[0])) |
| 468 | { |
| 469 | printNodeValidationError("Failure to match input and output rank or type"); |
| 470 | return 1; |
| 471 | } |
| 472 | |
| 473 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 474 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 475 | |
| 476 | if (attribute->multiples().size() != Rank) |
| 477 | { |
| 478 | printNodeValidationError("1D list 'multiples' must have size equal to input rank"); |
| 479 | return 1; |
| 480 | } |
| 481 | |
| 482 | for (int32_t d = 0; d < Rank; d++) |
| 483 | { |
Eric Kunze | ec0327d | 2022-05-24 15:22:06 -0700 | [diff] [blame] | 484 | ERROR_IF(in->getShape()[d] * attribute->multiples()[d] != out->getShape()[d], |
| 485 | "Output shape not equal to input * multiples;") |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 486 | } |
| 487 | |
| 488 | return 0; |
| 489 | } |
| 490 | |
| 491 | template <int Rank, DType Dtype> |
| 492 | int OpTile<Rank, Dtype>::eval() |
| 493 | { |
| 494 | // primary template shouldn't be called |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 495 | FATAL_ERROR("OpTile rank=%i, dtype=%s: not implemented yet", Rank, EnumNamesDType()[Dtype]); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 496 | } |
| 497 | |
| 498 | template <DType Dtype> |
| 499 | int OpTile<1, Dtype>::eval() |
| 500 | { |
| 501 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 502 | { |
| 503 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 504 | this->out->getTensor()(od0) = this->in->getTensor()(id0); |
| 505 | } |
| 506 | |
| 507 | return GraphNode::eval(); |
| 508 | } |
| 509 | |
| 510 | template <DType Dtype> |
| 511 | int OpTile<2, Dtype>::eval() |
| 512 | { |
| 513 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 514 | { |
| 515 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 516 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 517 | { |
| 518 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 519 | this->out->getTensor()(od0, od1) = this->in->getTensor()(id0, id1); |
| 520 | } |
| 521 | } |
| 522 | |
| 523 | return GraphNode::eval(); |
| 524 | } |
| 525 | |
| 526 | template <DType Dtype> |
| 527 | int OpTile<3, Dtype>::eval() |
| 528 | { |
| 529 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 530 | { |
| 531 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 532 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 533 | { |
| 534 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 535 | for (int32_t od2 = 0; od2 < this->out->getShape()[2]; od2++) |
| 536 | { |
| 537 | int32_t id2 = od2 % this->in->getShape()[2]; |
| 538 | this->out->getTensor()(od0, od1, od2) = this->in->getTensor()(id0, id1, id2); |
| 539 | } |
| 540 | } |
| 541 | } |
| 542 | |
| 543 | return GraphNode::eval(); |
| 544 | } |
| 545 | |
| 546 | template <DType Dtype> |
| 547 | int OpTile<4, Dtype>::eval() |
| 548 | { |
| 549 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 550 | { |
| 551 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 552 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 553 | { |
| 554 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 555 | for (int32_t od2 = 0; od2 < this->out->getShape()[2]; od2++) |
| 556 | { |
| 557 | int32_t id2 = od2 % this->in->getShape()[2]; |
| 558 | for (int32_t od3 = 0; od3 < this->out->getShape()[3]; od3++) |
| 559 | { |
| 560 | int32_t id3 = od3 % this->in->getShape()[3]; |
| 561 | this->out->getTensor()(od0, od1, od2, od3) = this->in->getTensor()(id0, id1, id2, id3); |
| 562 | } |
| 563 | } |
| 564 | } |
| 565 | } |
| 566 | |
| 567 | return GraphNode::eval(); |
| 568 | } |
| 569 | |
| 570 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 571 | OpTranspose<Rank, Dtype>::OpTranspose(SubgraphTraverser* sgt_, |
| 572 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 573 | uint64_t id_) |
| 574 | : GraphNode(sgt_, Op_TRANSPOSE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 575 | { |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 576 | setRequiredOperands(1, 1); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 577 | setRequiredRank(0, 6); |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 578 | |
| 579 | INIT_ATTRIBUTE(Transpose); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 580 | } |
| 581 | |
| 582 | template <int Rank, DType Dtype> |
| 583 | OpTranspose<Rank, Dtype>::~OpTranspose() |
Jerry Ge | a682749 | 2022-11-16 10:41:55 -0800 | [diff] [blame] | 584 | { |
| 585 | if (attribute) delete attribute; |
| 586 | } |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 587 | |
| 588 | template <int Rank, DType Dtype> |
| 589 | int OpTranspose<Rank, Dtype>::checkTensorAttributes() |
| 590 | { |
| 591 | if (validateRequiredOperands()) |
| 592 | return 1; |
| 593 | |
| 594 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 595 | { |
| 596 | return 1; |
| 597 | } |
| 598 | |
| 599 | // output and input must be the same types |
| 600 | if (inputs[0]->matchRankType(*outputs[0])) |
| 601 | { |
| 602 | printNodeValidationError("Failure to match input and output rank and type"); |
| 603 | return 1; |
| 604 | } |
| 605 | |
| 606 | if (inputs[0]->getElementCount() != outputs[0]->getElementCount()) |
| 607 | { |
| 608 | printNodeValidationError("Failure to match input and output total element count"); |
| 609 | return 1; |
| 610 | } |
| 611 | |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 612 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 613 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 614 | |
| 615 | ASSERT_MEM(in && out); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 616 | |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 617 | ERROR_IF(attribute->perms().size() != Rank, "OpTranspose: perms array size needs to match rank(input)"); |
Kevin Cheng | f3e016f | 2021-11-02 01:15:50 +0000 | [diff] [blame] | 618 | |
| 619 | std::array<bool, Rank> index_used; |
| 620 | index_used.fill(false); |
| 621 | for (int32_t d = 0; d < Rank; d++) |
| 622 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 623 | int32_t index = attribute->perms()[d]; |
Kevin Cheng | f3e016f | 2021-11-02 01:15:50 +0000 | [diff] [blame] | 624 | ERROR_IF(index < 0 or index >= Rank, "OpTranspose: index out of boundary"); |
| 625 | ERROR_IF(index_used[index], "OpTranspose: index duplicated in perm attribute"); |
| 626 | index_used[index] = true; |
| 627 | ERROR_IF(in->getShape()[index] != out->getShape()[d], "OpTranspose: input output shape mismatch"); |
| 628 | perm_array[d] = index; |
| 629 | } |
| 630 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 631 | return 0; |
| 632 | } |
| 633 | |
| 634 | template <int Rank, DType Dtype> |
| 635 | int OpTranspose<Rank, Dtype>::eval() |
| 636 | { |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 637 | out->getTensor() = in->getTensor().shuffle(perm_array); |
| 638 | |
| 639 | return GraphNode::eval(); |
| 640 | } |
| 641 | |
| 642 | // template explicit instantiation |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 643 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, FP16) |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 644 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, BF16) |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 645 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, FP32) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 646 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, INT8) |
| 647 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, INT16) |
| 648 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, INT32) |
| 649 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, BOOL) |
| 650 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 651 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 652 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 653 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 654 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, INT8); |
| 655 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, INT16); |
| 656 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, INT32); |
| 657 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, BOOL); |
| 658 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 659 | DEF_INSTANTIATE_RESHAPE(OpReshape, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 660 | DEF_INSTANTIATE_RESHAPE(OpReshape, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 661 | DEF_INSTANTIATE_RESHAPE(OpReshape, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 662 | DEF_INSTANTIATE_RESHAPE(OpReshape, INT8); |
| 663 | DEF_INSTANTIATE_RESHAPE(OpReshape, INT16); |
| 664 | DEF_INSTANTIATE_RESHAPE(OpReshape, INT32); |
| 665 | DEF_INSTANTIATE_RESHAPE(OpReshape, BOOL); |
| 666 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 667 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 668 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 669 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 670 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, INT8); |
| 671 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, INT16); |
| 672 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, INT32); |
| 673 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, BOOL); |
| 674 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 675 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSlice, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 676 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSlice, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 677 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSlice, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 678 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSlice, INT8); |
| 679 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSlice, INT16); |
| 680 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSlice, INT32); |
| 681 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpSlice, BOOL); |
| 682 | |
Jared Smolens | 98c281f | 2022-12-20 15:09:25 -0800 | [diff] [blame^] | 683 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTileBase, FP16); |
| 684 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTileBase, BF16); |
| 685 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTileBase, FP32); |
| 686 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTileBase, INT8); |
| 687 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTileBase, INT16); |
| 688 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTileBase, INT32); |
| 689 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTileBase, BOOL); |
| 690 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 691 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTile, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 692 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTile, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 693 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTile, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 694 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTile, INT8); |
| 695 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTile, INT16); |
| 696 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTile, INT32); |
| 697 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTile, BOOL); |
| 698 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 699 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTranspose, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 700 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTranspose, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 701 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTranspose, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 702 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTranspose, INT8); |
| 703 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTranspose, INT16); |
| 704 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTranspose, INT32); |
| 705 | DEF_INSTANTIATE_RANK0_6_ONE_RANK_ONE_TYPE(OpTranspose, BOOL); |