1 files changed, 48 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/stdout.txt.expect b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/stdout.txt.expect
new file mode 100644
index 000000000..b4632d34d
--- /dev/null
+++ b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/stdout.txt.expect
@@ -0,0 +1,48 @@
+// Generated file (from: averpoolfloat.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type1(Type::INT32, {});
+  OperandType type0(Type::TENSOR_QUANT8_ASYMM, 0.0f, 127.5f, {1, 2, 2, 1});
+  // Phase 1, operands
+  auto op1 = model->addOperand(&type0);
+  auto cons1 = model->addOperand(&type1);
+  auto act = model->addOperand(&type1);
+  auto op3 = model->addOperand(&type0);
+  // Phase 2, operations
+  static int32_t cons1_init[] = {1};
+  model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
+  static int32_t act_init[] = {0};
+  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
+  model->addOperation(ANEURALNETWORKS_AVERAGE_POOL, {op1, cons1, cons1, cons1, cons1, cons1, 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();
+}
+// Generated file (from: averpoolfloat.mod.py). Do not edit
+// Begin of an example
+{
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {{0, {1, 2, 3, 4}}}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {{0, {1, 2, 3, 4}}}
+}
+}, // End of an example