| // clang-format off |
| // Generated file (from: quantize.mod.py). Do not edit |
| void CreateModel_quant8(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {300}); |
| OperandType type1(Type::TENSOR_QUANT8_ASYMM, {300}, 1.0f, 0); |
| // Phase 1, operands |
| auto input0 = model->addOperand(&type0); |
| auto output0 = model->addOperand(&type1); |
| // Phase 2, operations |
| model->addOperation(ANEURALNETWORKS_QUANTIZE, {input0}, {output0}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input0}, |
| {output0}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_quant8(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_quant8_2(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {300}); |
| OperandType type1(Type::TENSOR_QUANT8_ASYMM, {300}, 1.0f, 0); |
| OperandType type2(Type::TENSOR_QUANT8_ASYMM, {300}, 1.0f, 1); |
| // Phase 1, operands |
| auto input01 = model->addOperand(&type0); |
| auto output01 = model->addOperand(&type2); |
| // Phase 2, operations |
| model->addOperation(ANEURALNETWORKS_QUANTIZE, {input01}, {output01}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input01}, |
| {output01}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_quant8_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_quant8_3(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {300}); |
| OperandType type1(Type::TENSOR_QUANT8_ASYMM, {300}, 1.0f, 0); |
| OperandType type2(Type::TENSOR_QUANT8_ASYMM, {300}, 1.0f, 1); |
| OperandType type3(Type::TENSOR_QUANT8_ASYMM, {300}, 0.01f, 120); |
| // Phase 1, operands |
| auto input02 = model->addOperand(&type0); |
| auto output02 = model->addOperand(&type3); |
| // Phase 2, operations |
| model->addOperation(ANEURALNETWORKS_QUANTIZE, {input02}, {output02}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input02}, |
| {output02}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_quant8_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_quant8_4(Model *model) { |
| OperandType type0(Type::TENSOR_FLOAT32, {300}); |
| OperandType type1(Type::TENSOR_QUANT8_ASYMM, {300}, 1.0f, 0); |
| OperandType type2(Type::TENSOR_QUANT8_ASYMM, {300}, 1.0f, 1); |
| OperandType type3(Type::TENSOR_QUANT8_ASYMM, {300}, 0.01f, 120); |
| OperandType type4(Type::TENSOR_QUANT8_ASYMM, {300}, 10.0f, 120); |
| // Phase 1, operands |
| auto input03 = model->addOperand(&type0); |
| auto output03 = model->addOperand(&type4); |
| // Phase 2, operations |
| model->addOperation(ANEURALNETWORKS_QUANTIZE, {input03}, {output03}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input03}, |
| {output03}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_quant8_4(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |