1 files changed, 0 insertions, 41 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_quant8_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_quant8_2.model.cpp
deleted file mode 100644
index 095036ddd..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_quant8_2.model.cpp
+++ /dev/null
@@ -1,41 +0,0 @@
-// Generated file (from: depthwise_conv2d_quant8_2.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type3(Type::INT32, {});
-  OperandType type2(Type::TENSOR_INT32, {4}, 0.25f, 0);
-  OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 1, 4}, 1.f, 127);
-  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 127);
-  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 2, 2}, 0.5f, 127);
-  // Phase 1, operands
-  auto op1 = model->addOperand(&type0);
-  auto op2 = model->addOperand(&type1);
-  auto op3 = model->addOperand(&type2);
-  auto pad_valid = model->addOperand(&type3);
-  auto act_none = model->addOperand(&type3);
-  auto stride = model->addOperand(&type3);
-  auto channelMultiplier = model->addOperand(&type3);
-  auto op4 = model->addOperand(&type4);
-  // Phase 2, operations
-  static uint8_t op2_init[] = {129, 131, 133, 135, 109, 147, 105, 151, 137, 139, 141, 143, 153, 99, 157, 95};
-  model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 16);
-  static int32_t op3_init[] = {4, 8, 12, 16};
-  model->setOperandValue(op3, op3_init, sizeof(int32_t) * 4);
-  static int32_t pad_valid_init[] = {2};
-  model->setOperandValue(pad_valid, pad_valid_init, sizeof(int32_t) * 1);
-  static int32_t act_none_init[] = {0};
-  model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1);
-  static int32_t stride_init[] = {1};
-  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
-  static int32_t channelMultiplier_init[] = {2};
-  model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1);
-  model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4});
-  // Phase 3, inputs and outputs
-  model->identifyInputsAndOutputs(
-    {op1},
-    {op4});
-  assert(model->isValid());
-}
-
-bool is_ignored(int i) {
-  static std::set<int> ignore = {};
-  return ignore.find(i) != ignore.end();
-}