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  /frameworks/ml/nn/runtime/test/generated/models/
relu1_quant8_1.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu1_quant8_2.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu6_float_1.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu6_float_2.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu6_quant8_1.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu6_quant8_2.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu_float_1.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu_float_2.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu_quant8_1.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
relu_quant8_2.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
tanh.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
  /external/adhd/alsa-module-config/
alsa-auron.conf 1 options snd_hda_intel model=auron patch=,auron_alsa.fw
alsa-auron_paine.conf 1 options snd_hda_intel model=auron_paine patch=,auron_paine_alsa.fw
alsa-auron_yuna.conf 1 options snd_hda_intel model=auron_yuna patch=,auron_yuna_alsa.fw
alsa-cid.conf 1 options snd_hda_intel model=cid patch=,cid_alsa.fw
alsa-falco.conf 1 options snd_hda_intel model=falco patch=,falco_alsa.fw
alsa-gandof.conf 1 options snd_hda_intel model=gandof patch=,gandof_alsa.fw
alsa-guado.conf 1 options snd_hda_intel model=guado patch=,guado_alsa.fw
alsa-jecht.conf 1 options snd_hda_intel model=jecht patch=,jecht_alsa.fw
alsa-leon.conf 1 options snd_hda_intel model=leon patch=,leon_alsa.fw
alsa-lulu.conf 1 options snd_hda_intel model=lulu patch=,lulu_alsa.fw
alsa-mccloud.conf 1 options snd_hda_intel model=mccloud patch=,mccloud_alsa.fw
alsa-monroe.conf 1 options snd_hda_intel model=monroe patch=,monroe_alsa.fw
alsa-peppy.conf 1 options snd_hda_intel model=peppy patch=,peppy_alsa.fw
alsa-rikku.conf 1 options snd_hda_intel model=rikku patch=,rikku_alsa.fw

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