1 files changed, 0 insertions, 34 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/conv_quant8_overflow_weights_as_inputs.model.cpp b/runtimes/tests/neural_networks_test/generated/models/conv_quant8_overflow_weights_as_inputs.model.cpp
deleted file mode 100644
index 8a3155f23..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/conv_quant8_overflow_weights_as_inputs.model.cpp
+++ /dev/null
@@ -1,34 +0,0 @@
-// Generated file (from: conv_quant8_overflow_weights_as_inputs.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type3(Type::INT32, {});
-  OperandType type2(Type::TENSOR_INT32, {3}, 0.25, 0);
-  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 0.5, 0);
-  OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 1.0, 0);
-  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {3, 1, 1, 3}, 0.5, 0);
-  // Phase 1, operands
-  auto op1 = model->addOperand(&type0);
-  auto op2 = model->addOperand(&type1);
-  auto op3 = model->addOperand(&type2);
-  auto pad0 = model->addOperand(&type3);
-  auto act = model->addOperand(&type3);
-  auto stride = model->addOperand(&type3);
-  auto op4 = model->addOperand(&type4);
-  // Phase 2, operations
-  static int32_t pad0_init[] = {0};
-  model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
-  static int32_t act_init[] = {0};
-  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
-  static int32_t stride_init[] = {1};
-  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
-  model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
-  // Phase 3, inputs and outputs
-  model->identifyInputsAndOutputs(
-    {op1, op2, op3},
-    {op4});
-  assert(model->isValid());
-}
-
-bool is_ignored(int i) {
-  static std::set<int> ignore = {};
-  return ignore.find(i) != ignore.end();
-}