diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp new file mode 100644 index 000000000..d3a7bf338 --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp @@ -0,0 +1,29 @@ +// Generated file (from: l2_pool_float.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type1(Type::INT32, {}); + OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); + // Phase 1, operands + auto op1 = model->addOperand(&type0); + auto cons1 = model->addOperand(&type1); + auto pad0 = model->addOperand(&type1); + auto act = model->addOperand(&type1); + auto op3 = model->addOperand(&type0); + // Phase 2, operations + static int32_t cons1_init[] = {1}; + model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); + static int32_t pad0_init[] = {0}; + model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); + static int32_t act_init[] = {0}; + model->setOperandValue(act, act_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, 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(); +} |