1 files changed, 0 insertions, 26 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
deleted file mode 100644
index 085c0d930..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/concat_quant8_3.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// 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();
-}