1 files changed, 40 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_conv/stdout.txt.expect b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_conv/stdout.txt.expect
new file mode 100644
index 000000000..6b28bdd54
--- /dev/null
+++ b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_conv/stdout.txt.expect
@@ -0,0 +1,40 @@
+// Generated file (from: quantized.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type0(Type::INT32, {});
+  OperandType type3(Type::TENSOR_INT32, {1});
+  OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 1});
+  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1});
+  // Phase 1, operands
+  auto b4 = model->addOperand(&type0);
+  auto b5 = model->addOperand(&type0);
+  auto b6 = model->addOperand(&type0);
+  auto b7 = model->addOperand(&type0);
+  auto op2 = model->addOperand(&type1);
+  auto op3 = model->addOperand(&type2);
+  auto op0 = model->addOperand(&type1);
+  auto op1 = model->addOperand(&type3);
+  // Phase 2, operations
+  static int32_t b4_init[] = {2};
+  model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1);
+  static int32_t b5_init[] = {2};
+  model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
+  static int32_t b6_init[] = {2};
+  model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1);
+  static int32_t b7_init[] = {0};
+  model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1);
+  static uint8_t op0_init[] = {1, 1, 1, 1};
+  model->setOperandValue(op0, op0_init, sizeof(uint8_t) * 4);
+  static int32_t op1_init[] = {0};
+  model->setOperandValue(op1, op1_init, sizeof(int32_t) * 1);
+  model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {op2},
+    {op3});
+  assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}