1 files changed, 0 insertions, 28 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/lsh_projection_weights_as_inputs.model.cpp b/runtimes/tests/neural_networks_test/generated/models/lsh_projection_weights_as_inputs.model.cpp
deleted file mode 100644
index 4abfc18e2..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/lsh_projection_weights_as_inputs.model.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// Generated file (from: lsh_projection_weights_as_inputs.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type3(Type::INT32, {});
-  OperandType type2(Type::TENSOR_FLOAT32, {3});
-  OperandType type0(Type::TENSOR_FLOAT32, {4, 2});
-  OperandType type1(Type::TENSOR_INT32, {3, 2});
-  OperandType type4(Type::TENSOR_INT32, {8});
-  // Phase 1, operands
-  auto hash = model->addOperand(&type0);
-  auto lookup = model->addOperand(&type1);
-  auto weight = model->addOperand(&type2);
-  auto type_param = model->addOperand(&type3);
-  auto output = model->addOperand(&type4);
-  // Phase 2, operations
-  static int32_t type_param_init[] = {2};
-  model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1);
-  model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output});
-  // Phase 3, inputs and outputs
-  model->identifyInputsAndOutputs(
-    {hash, lookup, weight},
-    {output});
-  assert(model->isValid());
-}
-
-bool is_ignored(int i) {
-  static std::set<int> ignore = {};
-  return ignore.find(i) != ignore.end();
-}