diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp | 32 |
1 files changed, 0 insertions, 32 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp deleted file mode 100644 index 15275251f..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/fully_connected_float_3.model.cpp +++ /dev/null @@ -1,32 +0,0 @@ -// Generated file (from: fully_connected_float_3.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type4(Type::INT32, {}); - OperandType type1(Type::TENSOR_FLOAT32, {1, 2}); - OperandType type2(Type::TENSOR_FLOAT32, {1}); - OperandType type3(Type::TENSOR_FLOAT32, {2, 1}); - OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); - // Phase 1, operands - auto op1 = model->addOperand(&type0); - auto op2 = model->addOperand(&type1); - auto b0 = model->addOperand(&type2); - auto op3 = model->addOperand(&type3); - auto act = model->addOperand(&type4); - // Phase 2, operations - static float op2_init[] = {2.0f, 4.0f}; - model->setOperandValue(op2, op2_init, sizeof(float) * 2); - static float b0_init[] = {1.0f}; - model->setOperandValue(b0, b0_init, sizeof(float) * 1); - static int32_t act_init[] = {0}; - model->setOperandValue(act, act_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); - // Phase 3, inputs and outputs - model->identifyInputsAndOutputs( - {op1}, - {op3}); - assert(model->isValid()); -} - -bool is_ignored(int i) { - static std::set<int> ignore = {}; - return ignore.find(i) != ignore.end(); -} |