diff options
Diffstat (limited to 'tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool')
3 files changed, 70 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/averpoolfloat.mod.py b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/averpoolfloat.mod.py new file mode 100644 index 000000000..17d6e0a4f --- /dev/null +++ b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/averpoolfloat.mod.py @@ -0,0 +1,20 @@ +# model +model = Model() +i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "0.0f, 127.5f, {1, 2, 2, 1}") +cons1 = Int32Scalar("cons1", 1) +act = Int32Scalar("act", 0) +o = Output("op3", "TENSOR_QUANT8_ASYMM", "0.0f, 127.5f, {1, 2, 2, 1}") +model = model.Operation("AVERAGE_POOL", i1, cons1, cons1, cons1, cons1, cons1, act).To(o) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [1, 2, 3, 4]} + +output0 = {o: # output 0 + [1, 2, 3, 4]} + +# Instantiate an example +Example((input0, output0)) + + + diff --git a/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/stderr.txt.expect b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/stderr.txt.expect new file mode 100644 index 000000000..c5a6e36b9 --- /dev/null +++ b/tests/nnapi/nnapi_test_generator/android-p/tests/P_quantized_avgpool/stderr.txt.expect @@ -0,0 +1,2 @@ +Output CTS model: - +Output example:- 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 |