1 files changed, 0 insertions, 32 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_2.model.cpp
deleted file mode 100644
index 06df5a545..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/fully_connected_quant8_2.model.cpp
+++ /dev/null
@@ -1,32 +0,0 @@
-// Generated file (from: fully_connected_quant8_2.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type4(Type::INT32, {});
-  OperandType type2(Type::TENSOR_INT32, {3}, 0.25f, 0);
-  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 1.f, 127);
-  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {3, 10}, 0.5f, 127);
-  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {4, 1, 5, 1}, 0.5f, 127);
-  // Phase 1, operands
-  auto op1 = model->addOperand(&type0);
-  auto op2 = model->addOperand(&type1);
-  auto b0 = model->addOperand(&type2);
-  auto op3 = model->addOperand(&type3);
-  auto act_relu = model->addOperand(&type4);
-  // Phase 2, operations
-  static uint8_t op2_init[] = {129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147, 129, 131, 133, 135, 137, 139, 141, 143, 145, 147};
-  model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 30);
-  static int32_t b0_init[] = {4, 8, 12};
-  model->setOperandValue(b0, b0_init, sizeof(int32_t) * 3);
-  static int32_t act_relu_init[] = {1};
-  model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1);
-  model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {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();
-}