/frameworks/ml/nn/runtime/test/generated/models/ |
D | select_v1_2.model.cpp | 474 auto output02 = model->addOperand(&type5); in CreateModel_3() local 476 model->addOperation(ANEURALNETWORKS_SELECT, {input02, input12, input22}, {output02}); in CreateModel_3() 480 {output02}); in CreateModel_3() 496 auto output02 = model->addOperand(&type24); in CreateModel_int32_3() local 498 model->addOperation(ANEURALNETWORKS_SELECT, {input02, input12, input22}, {output02}); in CreateModel_int32_3() 502 {output02}); in CreateModel_int32_3() 518 auto output02 = model->addOperand(&type25); in CreateModel_float16_3() local 520 model->addOperation(ANEURALNETWORKS_SELECT, {input02, input12, input22}, {output02}); in CreateModel_float16_3() 524 {output02}); in CreateModel_float16_3() 540 auto output02 = model->addOperand(&type5); in CreateModel_relaxed_3() local [all …]
|
D | cast.model.cpp | 131 auto output02 = model->addOperand(&type2); in CreateModel_3() local 133 model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output02}); in CreateModel_3() 137 {output02}); in CreateModel_3() 151 auto output02 = model->addOperand(&type10); in CreateModel_dynamic_output_shape_3() local 153 model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output02}); in CreateModel_dynamic_output_shape_3() 157 {output02}); in CreateModel_dynamic_output_shape_3() 377 auto output02 = model->addOperand(&type2); in CreateModel_7() local 379 model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output02}); in CreateModel_7() 383 {output02}); in CreateModel_7() 397 auto output02 = model->addOperand(&type2); in CreateModel_relaxed_4() local [all …]
|
D | reduce_any.model.cpp | 123 auto output02 = model->addOperand(&type6); in CreateModel_3() local 129 model->addOperation(ANEURALNETWORKS_REDUCE_ANY, {input02, param4, param5}, {output02}); in CreateModel_3() 133 {output02}); in CreateModel_3() 151 auto output02 = model->addOperand(&type9); in CreateModel_dynamic_output_shape_3() local 157 model->addOperation(ANEURALNETWORKS_REDUCE_ANY, {input02, param4, param5}, {output02}); in CreateModel_dynamic_output_shape_3() 161 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | reduce_all.model.cpp | 123 auto output02 = model->addOperand(&type6); in CreateModel_3() local 129 model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input02, param4, param5}, {output02}); in CreateModel_3() 133 {output02}); in CreateModel_3() 151 auto output02 = model->addOperand(&type9); in CreateModel_dynamic_output_shape_3() local 157 model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input02, param4, param5}, {output02}); in CreateModel_dynamic_output_shape_3() 161 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | reduce_sum.model.cpp | 353 auto output02 = model->addOperand(&type6); in CreateModel_3() local 359 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input02, param4, param5}, {output02}); in CreateModel_3() 363 {output02}); in CreateModel_3() 381 auto output02 = model->addOperand(&type6); in CreateModel_relaxed_3() local 387 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input02, param4, param5}, {output02}); in CreateModel_relaxed_3() 391 {output02}); in CreateModel_relaxed_3() 411 auto output02 = model->addOperand(&type16); in CreateModel_float16_3() local 417 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input02, param4, param5}, {output02}); in CreateModel_float16_3() 421 {output02}); in CreateModel_float16_3() 439 auto output02 = model->addOperand(&type12); in CreateModel_dynamic_output_shape_3() local [all …]
|
D | reduce_prod.model.cpp | 353 auto output02 = model->addOperand(&type6); in CreateModel_3() local 359 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input02, param4, param5}, {output02}); in CreateModel_3() 363 {output02}); in CreateModel_3() 381 auto output02 = model->addOperand(&type6); in CreateModel_relaxed_3() local 387 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input02, param4, param5}, {output02}); in CreateModel_relaxed_3() 391 {output02}); in CreateModel_relaxed_3() 411 auto output02 = model->addOperand(&type16); in CreateModel_float16_3() local 417 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input02, param4, param5}, {output02}); in CreateModel_float16_3() 421 {output02}); in CreateModel_float16_3() 439 auto output02 = model->addOperand(&type12); in CreateModel_dynamic_output_shape_3() local [all …]
|
D | log_softmax.model.cpp | 349 auto output02 = model->addOperand(&type4); in CreateModel_3() local 355 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input02, param4, param5}, {output02}); in CreateModel_3() 359 {output02}); in CreateModel_3() 376 auto output02 = model->addOperand(&type4); in CreateModel_relaxed_3() local 382 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input02, param4, param5}, {output02}); in CreateModel_relaxed_3() 386 {output02}); in CreateModel_relaxed_3() 405 auto output02 = model->addOperand(&type10); in CreateModel_float16_3() local 411 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input02, param4, param5}, {output02}); in CreateModel_float16_3() 415 {output02}); in CreateModel_float16_3() 433 auto output02 = model->addOperand(&type7); in CreateModel_dynamic_output_shape_3() local [all …]
|
D | reduce_min.model.cpp | 464 auto output02 = model->addOperand(&type6); in CreateModel_3() local 470 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input02, param4, param5}, {output02}); in CreateModel_3() 474 {output02}); in CreateModel_3() 492 auto output02 = model->addOperand(&type6); in CreateModel_relaxed_3() local 498 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input02, param4, param5}, {output02}); in CreateModel_relaxed_3() 502 {output02}); in CreateModel_relaxed_3() 522 auto output02 = model->addOperand(&type20); in CreateModel_float16_3() local 528 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input02, param4, param5}, {output02}); in CreateModel_float16_3() 532 {output02}); in CreateModel_float16_3() 550 auto output02 = model->addOperand(&type22); in CreateModel_quant8_3() local [all …]
|
D | reduce_max.model.cpp | 464 auto output02 = model->addOperand(&type6); in CreateModel_3() local 470 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input02, param4, param5}, {output02}); in CreateModel_3() 474 {output02}); in CreateModel_3() 492 auto output02 = model->addOperand(&type6); in CreateModel_relaxed_3() local 498 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input02, param4, param5}, {output02}); in CreateModel_relaxed_3() 502 {output02}); in CreateModel_relaxed_3() 522 auto output02 = model->addOperand(&type20); in CreateModel_float16_3() local 528 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input02, param4, param5}, {output02}); in CreateModel_float16_3() 532 {output02}); in CreateModel_float16_3() 550 auto output02 = model->addOperand(&type22); in CreateModel_quant8_3() local [all …]
|
D | gather.model.cpp | 575 auto output02 = model->addOperand(&type6); in CreateModel_3() local 581 model->addOperation(ANEURALNETWORKS_GATHER, {input02, param4, param5}, {output02}); in CreateModel_3() 585 {output02}); in CreateModel_3() 603 auto output02 = model->addOperand(&type6); in CreateModel_relaxed_3() local 609 model->addOperation(ANEURALNETWORKS_GATHER, {input02, param4, param5}, {output02}); in CreateModel_relaxed_3() 613 {output02}); in CreateModel_relaxed_3() 633 auto output02 = model->addOperand(&type24); in CreateModel_quant8_3() local 639 model->addOperation(ANEURALNETWORKS_GATHER, {input02, param4, param5}, {output02}); in CreateModel_quant8_3() 643 {output02}); in CreateModel_quant8_3() 660 auto output02 = model->addOperand(&type4); in CreateModel_int32_3() local [all …]
|
D | dequantize_v1_2.model.cpp | 256 auto output02 = model->addOperand(&type5); in CreateModel_3() local 258 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {input02}, {output02}); in CreateModel_3() 262 {output02}); in CreateModel_3() 276 auto output02 = model->addOperand(&type5); in CreateModel_relaxed_3() local 278 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {input02}, {output02}); in CreateModel_relaxed_3() 282 {output02}); in CreateModel_relaxed_3() 298 auto output02 = model->addOperand(&type31); in CreateModel_float16_3() local 300 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {input02}, {output02}); in CreateModel_float16_3() 304 {output02}); in CreateModel_float16_3() 318 auto output02 = model->addOperand(&type32); in CreateModel_dynamic_output_shape_3() local [all …]
|
D | minimum.model.cpp | 441 auto output02 = model->addOperand(&type3); in CreateModel_3() local 443 model->addOperation(ANEURALNETWORKS_MINIMUM, {input02, input12}, {output02}); in CreateModel_3() 447 {output02}); in CreateModel_3() 462 auto output02 = model->addOperand(&type16); in CreateModel_dynamic_output_shape_3() local 464 model->addOperation(ANEURALNETWORKS_MINIMUM, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 468 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | maximum.model.cpp | 441 auto output02 = model->addOperand(&type3); in CreateModel_3() local 443 model->addOperation(ANEURALNETWORKS_MAXIMUM, {input02, input12}, {output02}); in CreateModel_3() 447 {output02}); in CreateModel_3() 462 auto output02 = model->addOperand(&type16); in CreateModel_dynamic_output_shape_3() local 464 model->addOperation(ANEURALNETWORKS_MAXIMUM, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 468 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | equal.model.cpp | 362 auto output02 = model->addOperand(&type1); in CreateModel_3() local 364 model->addOperation(ANEURALNETWORKS_EQUAL, {input02, input12}, {output02}); in CreateModel_3() 368 {output02}); in CreateModel_3() 384 auto output02 = model->addOperand(&type14); in CreateModel_dynamic_output_shape_3() local 386 model->addOperation(ANEURALNETWORKS_EQUAL, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 390 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | greater.model.cpp | 362 auto output02 = model->addOperand(&type1); in CreateModel_3() local 364 model->addOperation(ANEURALNETWORKS_GREATER, {input02, input12}, {output02}); in CreateModel_3() 368 {output02}); in CreateModel_3() 384 auto output02 = model->addOperand(&type14); in CreateModel_dynamic_output_shape_3() local 386 model->addOperation(ANEURALNETWORKS_GREATER, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 390 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | less.model.cpp | 362 auto output02 = model->addOperand(&type1); in CreateModel_3() local 364 model->addOperation(ANEURALNETWORKS_LESS, {input02, input12}, {output02}); in CreateModel_3() 368 {output02}); in CreateModel_3() 384 auto output02 = model->addOperand(&type14); in CreateModel_dynamic_output_shape_3() local 386 model->addOperation(ANEURALNETWORKS_LESS, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 390 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | not_equal.model.cpp | 362 auto output02 = model->addOperand(&type1); in CreateModel_3() local 364 model->addOperation(ANEURALNETWORKS_NOT_EQUAL, {input02, input12}, {output02}); in CreateModel_3() 368 {output02}); in CreateModel_3() 384 auto output02 = model->addOperand(&type14); in CreateModel_dynamic_output_shape_3() local 386 model->addOperation(ANEURALNETWORKS_NOT_EQUAL, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 390 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | greater_equal.model.cpp | 362 auto output02 = model->addOperand(&type1); in CreateModel_3() local 364 model->addOperation(ANEURALNETWORKS_GREATER_EQUAL, {input02, input12}, {output02}); in CreateModel_3() 368 {output02}); in CreateModel_3() 384 auto output02 = model->addOperand(&type14); in CreateModel_dynamic_output_shape_3() local 386 model->addOperation(ANEURALNETWORKS_GREATER_EQUAL, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 390 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | less_equal.model.cpp | 362 auto output02 = model->addOperand(&type1); in CreateModel_3() local 364 model->addOperation(ANEURALNETWORKS_LESS_EQUAL, {input02, input12}, {output02}); in CreateModel_3() 368 {output02}); in CreateModel_3() 384 auto output02 = model->addOperand(&type14); in CreateModel_dynamic_output_shape_3() local 386 model->addOperation(ANEURALNETWORKS_LESS_EQUAL, {input02, input12}, {output02}); in CreateModel_dynamic_output_shape_3() 390 {output02}); in CreateModel_dynamic_output_shape_3()
|
D | quantize.model.cpp | 88 auto output02 = model->addOperand(&type18); in CreateModel_quant8_3() local 90 model->addOperation(ANEURALNETWORKS_QUANTIZE, {input02}, {output02}); in CreateModel_quant8_3() 94 {output02}); in CreateModel_quant8_3() 108 auto output02 = model->addOperand(&type19); in CreateModel_dynamic_output_shape_quant8_3() local 110 model->addOperation(ANEURALNETWORKS_QUANTIZE, {input02}, {output02}); in CreateModel_dynamic_output_shape_quant8_3() 114 {output02}); in CreateModel_dynamic_output_shape_quant8_3()
|
D | sub_quantized_different_scales.model.cpp | 110 auto output02 = model->addOperand(&type3); in CreateModel_3() local 114 model->addOperation(ANEURALNETWORKS_SUB, {input02, input12, param2}, {output02}); in CreateModel_3() 118 {output02}); in CreateModel_3() 135 auto output02 = model->addOperand(&type7); in CreateModel_dynamic_output_shape_3() local 139 model->addOperation(ANEURALNETWORKS_SUB, {input02, input12, param2}, {output02}); in CreateModel_dynamic_output_shape_3() 143 {output02}); in CreateModel_dynamic_output_shape_3()
|