1 files changed, 26 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/concat_quant8_3.model.cpp b/runtimes/tests/neural_networks_test/generated/models/concat_quant8_3.model.cpp
new file mode 100644
index 000000000..085c0d930
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/concat_quant8_3.model.cpp
@@ -0,0 +1,26 @@
+// Generated file (from: concat_quant8_3.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type2(Type::INT32, {});
+  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {400, 30}, 0.5f, 0);
+  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {400, 60}, 0.5f, 0);
+  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {400, 90}, 0.5f, 0);
+  // Phase 1, operands
+  auto input1 = model->addOperand(&type0);
+  auto input2 = model->addOperand(&type1);
+  auto axis1 = model->addOperand(&type2);
+  auto output = model->addOperand(&type3);
+  // Phase 2, operations
+  static int32_t axis1_init[] = {1};
+  model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
+  model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {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();
+}