| // Generated from reduce_all.mod.py |
| // DO NOT EDIT |
| // clang-format off |
| #include "TestGenerated.h" |
| |
| namespace generated_tests::reduce_all { |
| |
| void CreateModel(Model *model) { |
| OperandType type0(Type::TENSOR_BOOL8, {1}); |
| OperandType type1(Type::TENSOR_INT32, {1}); |
| OperandType type2(Type::BOOL, {}); |
| // Phase 1, operands |
| auto input0 = model->addOperand(&type0); |
| auto param = model->addOperand(&type1); |
| auto param1 = model->addOperand(&type2); |
| auto output0 = model->addOperand(&type0); |
| // Phase 2, operations |
| static int32_t param_init[] = {0}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool8 param1_init[] = {true}; |
| model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); |
| model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input0, param, param1}, {output0}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input0}, |
| {output0}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace generated_tests::reduce_all |
| namespace generated_tests::reduce_all { |
| |
| void CreateModel_dynamic_output_shape(Model *model) { |
| OperandType type0(Type::TENSOR_BOOL8, {1}); |
| OperandType type1(Type::TENSOR_INT32, {1}); |
| OperandType type2(Type::BOOL, {}); |
| OperandType type8(Type::TENSOR_BOOL8, {0}); |
| // Phase 1, operands |
| auto input0 = model->addOperand(&type0); |
| auto param = model->addOperand(&type1); |
| auto param1 = model->addOperand(&type2); |
| auto output0 = model->addOperand(&type8); |
| // Phase 2, operations |
| static int32_t param_init[] = {0}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool8 param1_init[] = {true}; |
| model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); |
| model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input0, param, param1}, {output0}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input0}, |
| {output0}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_dynamic_output_shape(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace generated_tests::reduce_all |
| namespace generated_tests::reduce_all { |
| |
| void CreateModel_2(Model *model) { |
| OperandType type2(Type::BOOL, {}); |
| OperandType type3(Type::TENSOR_BOOL8, {2, 3, 2}); |
| OperandType type4(Type::TENSOR_BOOL8, {2}); |
| OperandType type5(Type::TENSOR_INT32, {4}); |
| // Phase 1, operands |
| auto input01 = model->addOperand(&type3); |
| auto param2 = model->addOperand(&type5); |
| auto param3 = model->addOperand(&type2); |
| auto output01 = model->addOperand(&type4); |
| // Phase 2, operations |
| static int32_t param2_init[] = {1, 0, -3, -3}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 4); |
| static bool8 param3_init[] = {false}; |
| model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); |
| model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input01, param2, param3}, {output01}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input01}, |
| {output01}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace generated_tests::reduce_all |
| namespace generated_tests::reduce_all { |
| |
| void CreateModel_dynamic_output_shape_2(Model *model) { |
| OperandType type2(Type::BOOL, {}); |
| OperandType type3(Type::TENSOR_BOOL8, {2, 3, 2}); |
| OperandType type5(Type::TENSOR_INT32, {4}); |
| OperandType type8(Type::TENSOR_BOOL8, {0}); |
| // Phase 1, operands |
| auto input01 = model->addOperand(&type3); |
| auto param2 = model->addOperand(&type5); |
| auto param3 = model->addOperand(&type2); |
| auto output01 = model->addOperand(&type8); |
| // Phase 2, operations |
| static int32_t param2_init[] = {1, 0, -3, -3}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 4); |
| static bool8 param3_init[] = {false}; |
| model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); |
| model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input01, param2, param3}, {output01}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input01}, |
| {output01}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_dynamic_output_shape_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace generated_tests::reduce_all |
| namespace generated_tests::reduce_all { |
| |
| void CreateModel_3(Model *model) { |
| OperandType type2(Type::BOOL, {}); |
| OperandType type3(Type::TENSOR_BOOL8, {2, 3, 2}); |
| OperandType type6(Type::TENSOR_BOOL8, {1, 3, 1}); |
| OperandType type7(Type::TENSOR_INT32, {2}); |
| // Phase 1, operands |
| auto input02 = model->addOperand(&type3); |
| auto param4 = model->addOperand(&type7); |
| auto param5 = model->addOperand(&type2); |
| auto output02 = model->addOperand(&type6); |
| // Phase 2, operations |
| static int32_t param4_init[] = {0, 2}; |
| model->setOperandValue(param4, param4_init, sizeof(int32_t) * 2); |
| static bool8 param5_init[] = {true}; |
| model->setOperandValue(param5, param5_init, sizeof(bool8) * 1); |
| model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input02, param4, param5}, {output02}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input02}, |
| {output02}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace generated_tests::reduce_all |
| namespace generated_tests::reduce_all { |
| |
| void CreateModel_dynamic_output_shape_3(Model *model) { |
| OperandType type2(Type::BOOL, {}); |
| OperandType type3(Type::TENSOR_BOOL8, {2, 3, 2}); |
| OperandType type7(Type::TENSOR_INT32, {2}); |
| OperandType type9(Type::TENSOR_BOOL8, {0, 0, 0}); |
| // Phase 1, operands |
| auto input02 = model->addOperand(&type3); |
| auto param4 = model->addOperand(&type7); |
| auto param5 = model->addOperand(&type2); |
| auto output02 = model->addOperand(&type9); |
| // Phase 2, operations |
| static int32_t param4_init[] = {0, 2}; |
| model->setOperandValue(param4, param4_init, sizeof(int32_t) * 2); |
| static bool8 param5_init[] = {true}; |
| model->setOperandValue(param5, param5_init, sizeof(bool8) * 1); |
| model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input02, param4, param5}, {output02}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {input02}, |
| {output02}); |
| assert(model->isValid()); |
| } |
| |
| bool is_ignored_dynamic_output_shape_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| } // namespace generated_tests::reduce_all |