diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/l2_pool_float_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/l2_pool_float_2.model.cpp | 30 |
1 files changed, 0 insertions, 30 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/l2_pool_float_2.model.cpp deleted file mode 100644 index e01a9a55b..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float_2.model.cpp +++ /dev/null @@ -1,30 +0,0 @@ -// Generated file (from: l2_pool_float_2.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type1(Type::INT32, {}); - OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 2, 1}); - OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 4, 1}); - // Phase 1, operands - auto op1 = model->addOperand(&type0); - auto cons2 = model->addOperand(&type1); - auto pad_same = model->addOperand(&type1); - auto act_none = model->addOperand(&type1); - auto op3 = model->addOperand(&type2); - // Phase 2, operations - static int32_t cons2_init[] = {2}; - model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); - static int32_t pad_same_init[] = {1}; - model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); - static int32_t act_none_init[] = {0}; - model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {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(); -} |