diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp new file mode 100644 index 000000000..bae45e35a --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp @@ -0,0 +1,41 @@ +// Generated file (from: conv_quant8_2.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type3(Type::INT32, {}); + OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0); + OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 127); + OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 127); + OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 6, 1}, 0.5f, 127); + // Phase 1, operands + auto op1 = model->addOperand(&type0); + auto op2 = model->addOperand(&type1); + auto op3 = model->addOperand(&type2); + auto pad_valid = model->addOperand(&type3); + auto act_none = model->addOperand(&type3); + auto stride1 = model->addOperand(&type3); + auto stride3 = model->addOperand(&type3); + auto op4 = model->addOperand(&type4); + // Phase 2, operations + static uint8_t op2_init[] = {129, 131, 133, 135}; + model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 4); + static int32_t op3_init[] = {-4}; + model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1); + static int32_t pad_valid_init[] = {2}; + model->setOperandValue(pad_valid, pad_valid_init, sizeof(int32_t) * 1); + static int32_t act_none_init[] = {0}; + model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); + static int32_t stride1_init[] = {1}; + model->setOperandValue(stride1, stride1_init, sizeof(int32_t) * 1); + static int32_t stride3_init[] = {3}; + model->setOperandValue(stride3, stride3_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_valid, stride3, stride1, act_none}, {op4}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {op1}, + {op4}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |