1 files changed, 0 insertions, 33 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/local_response_norm_float_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/local_response_norm_float_2.model.cpp
deleted file mode 100644
index 5aae9a67b..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/local_response_norm_float_2.model.cpp
+++ /dev/null
@@ -1,33 +0,0 @@
-// Generated file (from: local_response_norm_float_2.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type2(Type::FLOAT32, {});
-  OperandType type1(Type::INT32, {});
-  OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 1, 6});
-  // Phase 1, operands
-  auto input = model->addOperand(&type0);
-  auto radius = model->addOperand(&type1);
-  auto bias = model->addOperand(&type2);
-  auto alpha = model->addOperand(&type2);
-  auto beta = model->addOperand(&type2);
-  auto output = model->addOperand(&type0);
-  // Phase 2, operations
-  static int32_t radius_init[] = {20};
-  model->setOperandValue(radius, radius_init, sizeof(int32_t) * 1);
-  static float bias_init[] = {0.0f};
-  model->setOperandValue(bias, bias_init, sizeof(float) * 1);
-  static float alpha_init[] = {1.0f};
-  model->setOperandValue(alpha, alpha_init, sizeof(float) * 1);
-  static float beta_init[] = {0.5f};
-  model->setOperandValue(beta, beta_init, sizeof(float) * 1);
-  model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
-  // Phase 3, inputs and outputs
-  model->identifyInputsAndOutputs(
-    {input},
-    {output});
-  assert(model->isValid());
-}
-
-bool is_ignored(int i) {
-  static std::set<int> ignore = {};
-  return ignore.find(i) != ignore.end();
-}