diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp | 26 |
1 files changed, 0 insertions, 26 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp deleted file mode 100644 index 2938a1aec..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/concat_float_2.model.cpp +++ /dev/null @@ -1,26 +0,0 @@ -// Generated file (from: concat_float_2.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type2(Type::INT32, {}); - OperandType type1(Type::TENSOR_FLOAT32, {40, 230}); - OperandType type0(Type::TENSOR_FLOAT32, {52, 230}); - OperandType type3(Type::TENSOR_FLOAT32, {92, 230}); - // Phase 1, operands - auto input1 = model->addOperand(&type0); - auto input2 = model->addOperand(&type1); - auto axis0 = model->addOperand(&type2); - auto output = model->addOperand(&type3); - // Phase 2, operations - static int32_t axis0_init[] = {0}; - model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output}); - // Phase 3, inputs and outputs - model->identifyInputsAndOutputs( - {input1, input2}, - {output}); - assert(model->isValid()); -} - -bool is_ignored(int i) { - static std::set<int> ignore = {}; - return ignore.find(i) != ignore.end(); -} |