Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 1 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 2 | // Copyright (c) 2020-2023, 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); |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 130 | setRequiredRank(1, 6); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 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: |
James Ward | 3407125 | 2022-12-07 15:48:47 +0000 | [diff] [blame] | 194 | case DType_BF16: |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 195 | case DType_FP32: |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 196 | pad_value = (InEigenType)attribute->pad_const_fp(); |
| 197 | break; |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 198 | default: |
| 199 | printNodeValidationError("Unsupported data type"); |
| 200 | break; |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 201 | } |
| 202 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 203 | this->out->getTensor() = this->in->getTensor().pad(this->paddings_array, pad_value); |
| 204 | |
| 205 | return GraphNode::eval(); |
| 206 | } |
| 207 | |
| 208 | template <int InRank, int OutRank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 209 | OpReshape<InRank, OutRank, Dtype>::OpReshape(SubgraphTraverser* sgt_, |
| 210 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 211 | uint64_t id_) |
| 212 | : GraphNode(sgt_, Op_RESHAPE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 213 | { |
| 214 | setRequiredOperands(1, 1); |
| 215 | setRequiredRank(0, 6); |
| 216 | |
| 217 | INIT_ATTRIBUTE(Reshape); |
| 218 | } |
| 219 | |
| 220 | template <int InRank, int OutRank, DType Dtype> |
| 221 | OpReshape<InRank, OutRank, Dtype>::~OpReshape() |
| 222 | { |
| 223 | if (attribute) |
| 224 | delete attribute; |
| 225 | } |
| 226 | |
| 227 | template <int InRank, int OutRank, DType Dtype> |
| 228 | int OpReshape<InRank, OutRank, Dtype>::checkTensorAttributes() |
| 229 | { |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 230 | if (validateRequiredOperands()) |
| 231 | return 1; |
| 232 | |
| 233 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 234 | { |
| 235 | return 1; |
| 236 | } |
| 237 | |
| 238 | // output and input must be the same types |
| 239 | if (inputs[0]->matchType(*outputs[0])) |
| 240 | { |
| 241 | printNodeValidationError("OpReshape: Input and output types must match"); |
| 242 | return 1; |
| 243 | } |
| 244 | |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 245 | ERROR_IF(inputs[0]->getElementCount() != outputs[0]->getElementCount(), |
| 246 | "Input tensor size does not match output tensor size"); |
| 247 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 248 | for (uint32_t d = 0; d < OutRank; d++) |
| 249 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 250 | ERROR_IF(attribute->new_shape()[d] != outputs[0]->getShape()[d], |
Jeremy Johnson | c23fc3b | 2022-05-30 16:51:21 +0100 | [diff] [blame] | 251 | "OpReshape: new_shape doesn't match output shape"); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 252 | } |
| 253 | |
| 254 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 255 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 256 | |
| 257 | return 0; |
| 258 | } |
| 259 | |
| 260 | template <int InRank, int OutRank, DType Dtype> |
| 261 | int OpReshape<InRank, OutRank, Dtype>::eval() |
| 262 | { |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 263 | for (int32_t d = 0; d < OutRank; d++) |
| 264 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 265 | array_shape[d] = attribute->new_shape()[OutRank - 1 - d]; |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 266 | out_reverser[d] = OutRank - 1 - d; |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 267 | } |
| 268 | |
| 269 | for (int32_t d = 0; d < InRank; d++) |
| 270 | { |
| 271 | in_reverser[d] = InRank - 1 - d; |
| 272 | } |
| 273 | |
| 274 | // Eigen Tensor is col-major, and we're referencing row-major result |
| 275 | // need to reverse it to row-major before reshape, and perform another reverse afterward |
| 276 | |
| 277 | // input tensor rank 0 can't do .shuffle(), need to be handled otherwise |
| 278 | TIn in_reversed; |
| 279 | if (InRank > 1) |
| 280 | { |
| 281 | in_reversed = in->getTensor().shuffle(in_reverser); |
| 282 | } |
| 283 | else |
| 284 | { |
| 285 | in_reversed = in->getTensor(); |
| 286 | } |
| 287 | |
| 288 | TOut in_reshaped = in_reversed.reshape(array_shape); |
| 289 | |
| 290 | // output tensor can be rank 0, .reshape() and .shuffle() don't work, need to be handled otherwise |
| 291 | if (OutRank > 1) |
| 292 | { |
| 293 | out->getTensor() = in_reshaped.shuffle(out_reverser); |
| 294 | } |
| 295 | else |
| 296 | { |
| 297 | out->getTensor() = in_reshaped; |
| 298 | } |
| 299 | |
| 300 | return GraphNode::eval(); |
| 301 | } |
| 302 | |
| 303 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 304 | OpReverse<Rank, Dtype>::OpReverse(SubgraphTraverser* sgt_, |
| 305 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 306 | uint64_t id_) |
| 307 | : GraphNode(sgt_, Op_REVERSE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 308 | { |
| 309 | setRequiredOperands(1, 1); |
| 310 | setRequiredRank(1, 6); |
| 311 | |
| 312 | INIT_ATTRIBUTE(Axis); |
| 313 | } |
| 314 | |
| 315 | template <int Rank, DType Dtype> |
| 316 | OpReverse<Rank, Dtype>::~OpReverse() |
| 317 | { |
| 318 | if (attribute) |
| 319 | delete attribute; |
| 320 | } |
| 321 | |
| 322 | template <int Rank, DType Dtype> |
| 323 | int OpReverse<Rank, Dtype>::checkTensorAttributes() |
| 324 | { |
| 325 | if (validateRequiredOperands()) |
| 326 | return 1; |
| 327 | |
| 328 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 329 | { |
| 330 | return 1; |
| 331 | } |
| 332 | |
| 333 | // output and input must be the same types |
| 334 | if (inputs[0]->matchRankTypeShape(*outputs[0])) |
| 335 | { |
| 336 | printNodeValidationError("Failure to match input and output rank/type/shape"); |
| 337 | return 1; |
| 338 | } |
| 339 | |
| 340 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 341 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 342 | |
| 343 | ASSERT_MEM(in && out); |
| 344 | |
| 345 | if (attribute->axis() < 0 || attribute->axis() >= inputs[0]->getRank()) |
| 346 | { |
| 347 | printNodeValidationError("Reverse axis must between [0, input_rank - 1]"); |
| 348 | return 1; |
| 349 | } |
| 350 | |
| 351 | // transform list of axis into true or false list |
| 352 | // e.g. rank=4, axis=[1,2], reverse array would be [false, true, true, false] |
| 353 | for (int i = 0; i < Rank; i++) |
| 354 | { |
| 355 | reverse_array[i] = false; |
| 356 | } |
| 357 | reverse_array[attribute->axis()] = true; |
| 358 | |
| 359 | return 0; |
| 360 | } |
| 361 | |
| 362 | template <int Rank, DType Dtype> |
| 363 | int OpReverse<Rank, Dtype>::eval() |
| 364 | { |
| 365 | out->getTensor() = in->getTensor().reverse(reverse_array); |
| 366 | |
| 367 | return GraphNode::eval(); |
| 368 | } |
| 369 | |
| 370 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 371 | OpSlice<Rank, Dtype>::OpSlice(SubgraphTraverser* sgt_, |
| 372 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 373 | uint64_t id_) |
| 374 | : GraphNode(sgt_, Op_SLICE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 375 | { |
| 376 | setRequiredOperands(1, 1); |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 377 | setRequiredRank(1, 6); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 378 | |
| 379 | INIT_ATTRIBUTE(Slice); |
| 380 | } |
| 381 | |
| 382 | template <int Rank, DType Dtype> |
| 383 | OpSlice<Rank, Dtype>::~OpSlice() |
| 384 | { |
| 385 | if (attribute) |
| 386 | delete attribute; |
| 387 | } |
| 388 | |
| 389 | template <int Rank, DType Dtype> |
| 390 | int OpSlice<Rank, Dtype>::checkTensorAttributes() |
| 391 | { |
| 392 | if (validateRequiredOperands()) |
| 393 | return 1; |
| 394 | |
| 395 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 396 | { |
| 397 | return 1; |
| 398 | } |
| 399 | |
| 400 | // output and input must be the same types |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 401 | if (inputs[0]->matchRankType(*outputs[0])) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 402 | { |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 403 | printNodeValidationError("Failure to match input and output rank or type"); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 404 | return 1; |
| 405 | } |
| 406 | |
| 407 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 408 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 409 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 410 | ASSERT_MEM(in && out); |
| 411 | |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 412 | ERROR_IF((int32_t)attribute->start().size() != in->getRank(), |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 413 | "OpSlice: begin array length needs to be rank(input)"); |
| 414 | 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] | 415 | |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 416 | for (int32_t i = 0; i < in->getRank(); i++) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 417 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 418 | int32_t b = attribute->start()[i]; |
Kevin Cheng | cc61be3 | 2021-10-14 17:09:57 -0700 | [diff] [blame] | 419 | int32_t s = attribute->size()[i]; |
| 420 | ERROR_IF(b < 0 || b >= in->getShape()[i], "OpSlice: start out of boundary"); |
| 421 | ERROR_IF((b + s) < 0 || (b + s) > in->getShape()[i], "OpSlice: (start+size) out of boundary"); |
| 422 | ERROR_IF(s <= 0, "OpSlice: output must be positive"); |
| 423 | ERROR_IF(s != out->getShape()[i], "OpSlice: size doesn't match output tensor dimension"); |
| 424 | begin_array[i] = b; |
| 425 | size_array[i] = s; |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 426 | } |
| 427 | |
| 428 | return 0; |
| 429 | } |
| 430 | |
| 431 | template <int Rank, DType Dtype> |
| 432 | int OpSlice<Rank, Dtype>::eval() |
| 433 | { |
| 434 | out->getTensor() = in->getTensor().slice(begin_array, size_array); |
| 435 | |
| 436 | return GraphNode::eval(); |
| 437 | } |
| 438 | |
| 439 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 440 | OpTileBase<Rank, Dtype>::OpTileBase(SubgraphTraverser* sgt_, |
| 441 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 442 | uint64_t id_) |
| 443 | : GraphNode(sgt_, Op_TILE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 444 | { |
| 445 | setRequiredOperands(1, 1); |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 446 | setRequiredRank(1, 6); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 447 | |
| 448 | INIT_ATTRIBUTE(Tile); |
| 449 | } |
| 450 | |
| 451 | template <int Rank, DType Dtype> |
| 452 | OpTileBase<Rank, Dtype>::~OpTileBase() |
| 453 | { |
| 454 | if (attribute) |
| 455 | delete attribute; |
| 456 | } |
| 457 | |
| 458 | template <int Rank, DType Dtype> |
| 459 | int OpTileBase<Rank, Dtype>::checkTensorAttributes() |
| 460 | { |
| 461 | if (validateRequiredOperands()) |
| 462 | return 1; |
| 463 | |
| 464 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 465 | { |
| 466 | return 1; |
| 467 | } |
| 468 | |
| 469 | // output and input must be the same ranks and types |
| 470 | if (inputs[0]->matchRankType(*outputs[0])) |
| 471 | { |
| 472 | printNodeValidationError("Failure to match input and output rank or type"); |
| 473 | return 1; |
| 474 | } |
| 475 | |
| 476 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 477 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 478 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 479 | ASSERT_MEM(in && out); |
| 480 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 481 | if (attribute->multiples().size() != Rank) |
| 482 | { |
| 483 | printNodeValidationError("1D list 'multiples' must have size equal to input rank"); |
| 484 | return 1; |
| 485 | } |
| 486 | |
| 487 | for (int32_t d = 0; d < Rank; d++) |
| 488 | { |
Eric Kunze | ec0327d | 2022-05-24 15:22:06 -0700 | [diff] [blame] | 489 | ERROR_IF(in->getShape()[d] * attribute->multiples()[d] != out->getShape()[d], |
| 490 | "Output shape not equal to input * multiples;") |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 491 | } |
| 492 | |
| 493 | return 0; |
| 494 | } |
| 495 | |
| 496 | template <int Rank, DType Dtype> |
| 497 | int OpTile<Rank, Dtype>::eval() |
| 498 | { |
| 499 | // primary template shouldn't be called |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 500 | 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] | 501 | } |
| 502 | |
| 503 | template <DType Dtype> |
| 504 | int OpTile<1, Dtype>::eval() |
| 505 | { |
| 506 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 507 | { |
| 508 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 509 | this->out->getTensor()(od0) = this->in->getTensor()(id0); |
| 510 | } |
| 511 | |
| 512 | return GraphNode::eval(); |
| 513 | } |
| 514 | |
| 515 | template <DType Dtype> |
| 516 | int OpTile<2, Dtype>::eval() |
| 517 | { |
| 518 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 519 | { |
| 520 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 521 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 522 | { |
| 523 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 524 | this->out->getTensor()(od0, od1) = this->in->getTensor()(id0, id1); |
| 525 | } |
| 526 | } |
| 527 | |
| 528 | return GraphNode::eval(); |
| 529 | } |
| 530 | |
| 531 | template <DType Dtype> |
| 532 | int OpTile<3, Dtype>::eval() |
| 533 | { |
| 534 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 535 | { |
| 536 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 537 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 538 | { |
| 539 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 540 | for (int32_t od2 = 0; od2 < this->out->getShape()[2]; od2++) |
| 541 | { |
| 542 | int32_t id2 = od2 % this->in->getShape()[2]; |
| 543 | this->out->getTensor()(od0, od1, od2) = this->in->getTensor()(id0, id1, id2); |
| 544 | } |
| 545 | } |
| 546 | } |
| 547 | |
| 548 | return GraphNode::eval(); |
| 549 | } |
| 550 | |
| 551 | template <DType Dtype> |
| 552 | int OpTile<4, Dtype>::eval() |
| 553 | { |
| 554 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 555 | { |
| 556 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 557 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 558 | { |
| 559 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 560 | for (int32_t od2 = 0; od2 < this->out->getShape()[2]; od2++) |
| 561 | { |
| 562 | int32_t id2 = od2 % this->in->getShape()[2]; |
| 563 | for (int32_t od3 = 0; od3 < this->out->getShape()[3]; od3++) |
| 564 | { |
| 565 | int32_t id3 = od3 % this->in->getShape()[3]; |
| 566 | this->out->getTensor()(od0, od1, od2, od3) = this->in->getTensor()(id0, id1, id2, id3); |
| 567 | } |
| 568 | } |
| 569 | } |
| 570 | } |
| 571 | |
| 572 | return GraphNode::eval(); |
| 573 | } |
| 574 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 575 | template <DType Dtype> |
| 576 | int OpTile<5, Dtype>::eval() |
| 577 | { |
| 578 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 579 | { |
| 580 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 581 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 582 | { |
| 583 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 584 | for (int32_t od2 = 0; od2 < this->out->getShape()[2]; od2++) |
| 585 | { |
| 586 | int32_t id2 = od2 % this->in->getShape()[2]; |
| 587 | for (int32_t od3 = 0; od3 < this->out->getShape()[3]; od3++) |
| 588 | { |
| 589 | int32_t id3 = od3 % this->in->getShape()[3]; |
| 590 | for (int32_t od4 = 0; od4 < this->out->getShape()[4]; od4++) |
| 591 | { |
| 592 | int32_t id4 = od4 % this->in->getShape()[4]; |
| 593 | this->out->getTensor()(od0, od1, od2, od3, od4) = |
| 594 | this->in->getTensor()(id0, id1, id2, id3, id4); |
| 595 | } |
| 596 | } |
| 597 | } |
| 598 | } |
| 599 | } |
| 600 | |
| 601 | return GraphNode::eval(); |
| 602 | } |
| 603 | |
| 604 | template <DType Dtype> |
| 605 | int OpTile<6, Dtype>::eval() |
| 606 | { |
| 607 | for (int32_t od0 = 0; od0 < this->out->getShape()[0]; od0++) |
| 608 | { |
| 609 | int32_t id0 = od0 % this->in->getShape()[0]; |
| 610 | for (int32_t od1 = 0; od1 < this->out->getShape()[1]; od1++) |
| 611 | { |
| 612 | int32_t id1 = od1 % this->in->getShape()[1]; |
| 613 | for (int32_t od2 = 0; od2 < this->out->getShape()[2]; od2++) |
| 614 | { |
| 615 | int32_t id2 = od2 % this->in->getShape()[2]; |
| 616 | for (int32_t od3 = 0; od3 < this->out->getShape()[3]; od3++) |
| 617 | { |
| 618 | int32_t id3 = od3 % this->in->getShape()[3]; |
| 619 | for (int32_t od4 = 0; od4 < this->out->getShape()[4]; od4++) |
| 620 | { |
| 621 | int32_t id4 = od4 % this->in->getShape()[4]; |
| 622 | for (int32_t od5 = 0; od5 < this->out->getShape()[5]; od5++) |
| 623 | { |
| 624 | int32_t id5 = od5 % this->in->getShape()[5]; |
| 625 | this->out->getTensor()(od0, od1, od2, od3, od4, od5) = |
| 626 | this->in->getTensor()(id0, id1, id2, id3, id4, id5); |
| 627 | } |
| 628 | } |
| 629 | } |
| 630 | } |
| 631 | } |
| 632 | } |
| 633 | |
| 634 | return GraphNode::eval(); |
| 635 | } |
| 636 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 637 | template <int Rank, DType Dtype> |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 638 | OpTranspose<Rank, Dtype>::OpTranspose(SubgraphTraverser* sgt_, |
| 639 | TosaAttributeBase* attribute_, |
Kevin Cheng | acb550f | 2021-06-29 15:32:19 -0700 | [diff] [blame] | 640 | uint64_t id_) |
| 641 | : GraphNode(sgt_, Op_TRANSPOSE, id_) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 642 | { |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 643 | setRequiredOperands(1, 1); |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 644 | setRequiredRank(1, 6); |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 645 | |
| 646 | INIT_ATTRIBUTE(Transpose); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 647 | } |
| 648 | |
| 649 | template <int Rank, DType Dtype> |
| 650 | OpTranspose<Rank, Dtype>::~OpTranspose() |
Jerry Ge | a682749 | 2022-11-16 10:41:55 -0800 | [diff] [blame] | 651 | { |
| 652 | if (attribute) delete attribute; |
| 653 | } |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 654 | |
| 655 | template <int Rank, DType Dtype> |
| 656 | int OpTranspose<Rank, Dtype>::checkTensorAttributes() |
| 657 | { |
| 658 | if (validateRequiredOperands()) |
| 659 | return 1; |
| 660 | |
| 661 | if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0])) |
| 662 | { |
| 663 | return 1; |
| 664 | } |
| 665 | |
| 666 | // output and input must be the same types |
| 667 | if (inputs[0]->matchRankType(*outputs[0])) |
| 668 | { |
| 669 | printNodeValidationError("Failure to match input and output rank and type"); |
| 670 | return 1; |
| 671 | } |
| 672 | |
| 673 | if (inputs[0]->getElementCount() != outputs[0]->getElementCount()) |
| 674 | { |
| 675 | printNodeValidationError("Failure to match input and output total element count"); |
| 676 | return 1; |
| 677 | } |
| 678 | |
Kevin Cheng | fe392ce | 2021-10-18 21:51:55 +0000 | [diff] [blame] | 679 | in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); |
| 680 | out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); |
| 681 | |
| 682 | ASSERT_MEM(in && out); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 683 | |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 684 | 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] | 685 | |
| 686 | std::array<bool, Rank> index_used; |
| 687 | index_used.fill(false); |
| 688 | for (int32_t d = 0; d < Rank; d++) |
| 689 | { |
TatWai Chong | 86c403b | 2022-06-06 20:46:01 -0700 | [diff] [blame] | 690 | int32_t index = attribute->perms()[d]; |
Kevin Cheng | f3e016f | 2021-11-02 01:15:50 +0000 | [diff] [blame] | 691 | ERROR_IF(index < 0 or index >= Rank, "OpTranspose: index out of boundary"); |
| 692 | ERROR_IF(index_used[index], "OpTranspose: index duplicated in perm attribute"); |
| 693 | index_used[index] = true; |
| 694 | ERROR_IF(in->getShape()[index] != out->getShape()[d], "OpTranspose: input output shape mismatch"); |
| 695 | perm_array[d] = index; |
| 696 | } |
| 697 | |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 698 | return 0; |
| 699 | } |
| 700 | |
| 701 | template <int Rank, DType Dtype> |
| 702 | int OpTranspose<Rank, Dtype>::eval() |
| 703 | { |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 704 | out->getTensor() = in->getTensor().shuffle(perm_array); |
| 705 | |
| 706 | return GraphNode::eval(); |
| 707 | } |
| 708 | |
| 709 | // template explicit instantiation |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 710 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, FP16) |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 711 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, BF16) |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 712 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, FP32) |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 713 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, INT8) |
| 714 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, INT16) |
| 715 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, INT32) |
| 716 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpConcat, BOOL) |
| 717 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 718 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 719 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 720 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 721 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, INT8); |
| 722 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, INT16); |
| 723 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, INT32); |
| 724 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpPad, BOOL); |
| 725 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 726 | DEF_INSTANTIATE_RESHAPE(OpReshape, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 727 | DEF_INSTANTIATE_RESHAPE(OpReshape, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 728 | DEF_INSTANTIATE_RESHAPE(OpReshape, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 729 | DEF_INSTANTIATE_RESHAPE(OpReshape, INT8); |
| 730 | DEF_INSTANTIATE_RESHAPE(OpReshape, INT16); |
| 731 | DEF_INSTANTIATE_RESHAPE(OpReshape, INT32); |
| 732 | DEF_INSTANTIATE_RESHAPE(OpReshape, BOOL); |
| 733 | |
James Ward | 8b39043 | 2022-08-12 20:48:56 +0100 | [diff] [blame] | 734 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, FP16); |
James Ward | 24dbc42 | 2022-10-19 12:20:31 +0100 | [diff] [blame] | 735 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, BF16); |
Jeremy Johnson | bc2a3db | 2022-09-27 13:50:00 +0100 | [diff] [blame] | 736 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, FP32); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 737 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, INT8); |
| 738 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, INT16); |
| 739 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, INT32); |
| 740 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpReverse, BOOL); |
| 741 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 742 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpSlice, FP16); |
| 743 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpSlice, BF16); |
| 744 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpSlice, FP32); |
| 745 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpSlice, INT8); |
| 746 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpSlice, INT16); |
| 747 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpSlice, INT32); |
| 748 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpSlice, BOOL); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 749 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 750 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTileBase, FP16); |
| 751 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTileBase, BF16); |
| 752 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTileBase, FP32); |
| 753 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTileBase, INT8); |
| 754 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTileBase, INT16); |
| 755 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTileBase, INT32); |
| 756 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTileBase, BOOL); |
Jared Smolens | 98c281f | 2022-12-20 15:09:25 -0800 | [diff] [blame] | 757 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 758 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTile, FP16); |
| 759 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTile, BF16); |
| 760 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTile, FP32); |
| 761 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTile, INT8); |
| 762 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTile, INT16); |
| 763 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTile, INT32); |
| 764 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTile, BOOL); |
Eric Kunze | e5e2676 | 2020-10-13 16:11:07 -0700 | [diff] [blame] | 765 | |
Luke Hutton | a4e48ca | 2023-02-22 11:53:48 +0000 | [diff] [blame] | 766 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTranspose, FP16); |
| 767 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTranspose, BF16); |
| 768 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTranspose, FP32); |
| 769 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTranspose, INT8); |
| 770 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTranspose, INT16); |
| 771 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTranspose, INT32); |
| 772 | DEF_INSTANTIATE_RANK1_6_ONE_RANK_ONE_TYPE(OpTranspose, BOOL); |