1 files changed, 0 insertions, 31 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large.model.cpp
deleted file mode 100644
index 761f25734..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_large.model.cpp
+++ /dev/null
@@ -1,31 +0,0 @@
-// Generated file (from: fully_connected_quant8_large.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type3(Type::INT32, {});
-  OperandType type1(Type::TENSOR_INT32, {1}, 0.04, 0);
-  OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 1}, 1.f, 0);
-  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 5}, 0.2, 0);
-  // Phase 1, operands
-  auto op1 = model->addOperand(&type0);
-  auto op2 = model->addOperand(&type0);
-  auto b0 = model->addOperand(&type1);
-  auto op3 = model->addOperand(&type2);
-  auto act = model->addOperand(&type3);
-  // Phase 2, operations
-  static uint8_t op2_init[] = {10, 20, 20, 20, 10};
-  model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 5);
-  static int32_t b0_init[] = {10};
-  model->setOperandValue(b0, b0_init, sizeof(int32_t) * 1);
-  static int32_t act_init[] = {0};
-  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
-  model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
-  // Phase 3, inputs and outputs
-  model->identifyInputsAndOutputs(
-    {op1},
-    {op3});
-  assert(model->isValid());
-}
-
-bool is_ignored(int i) {
-  static std::set<int> ignore = {};
-  return ignore.find(i) != ignore.end();
-}