1 files changed, 26 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/concat_float_4D_axis3_1_nnfw.model.cpp b/runtimes/tests/neural_networks_test/generated/models/concat_float_4D_axis3_1_nnfw.model.cpp
new file mode 100644
index 000000000..82ef41dc9
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/concat_float_4D_axis3_1_nnfw.model.cpp
@@ -0,0 +1,26 @@
+// Generated file (from: concat_float_4D_axis3_1_nnfw.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type1(Type::INT32, {});
+  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
+  OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 3, 6});
+  // Phase 1, operands
+  auto op1 = model->addOperand(&type0);
+  auto op2 = model->addOperand(&type0);
+  auto op3 = model->addOperand(&type0);
+  auto axis0 = model->addOperand(&type1);
+  auto result = model->addOperand(&type2);
+  // Phase 2, operations
+  static int32_t axis0_init[] = {3};
+  model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1);
+  model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, op3, axis0}, {result});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {op1, op2, op3},
+    {result});
+  assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}