diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/add_broadcast_quant8.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/add_broadcast_quant8.model.cpp | 25 |
1 files changed, 0 insertions, 25 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/add_broadcast_quant8.model.cpp b/runtimes/tests/neural_networks_test/generated/models/add_broadcast_quant8.model.cpp deleted file mode 100644 index 3dd6f3fe6..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/add_broadcast_quant8.model.cpp +++ /dev/null @@ -1,25 +0,0 @@ -// Generated file (from: add_broadcast_quant8.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type2(Type::INT32, {}); - OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 2.0, 0); - OperandType type1(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0, 0); - // Phase 1, operands - auto op1 = model->addOperand(&type0); - auto op2 = model->addOperand(&type1); - auto act = model->addOperand(&type2); - auto op3 = model->addOperand(&type1); - // Phase 2, operations - static int32_t act_init[] = {0}; - model->setOperandValue(act, act_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); - // Phase 3, inputs and outputs - model->identifyInputsAndOutputs( - {op1, op2}, - {op3}); - assert(model->isValid()); -} - -bool is_ignored(int i) { - static std::set<int> ignore = {}; - return ignore.find(i) != ignore.end(); -} |