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Commit f65ad471 authored by Xusong Wang's avatar Xusong Wang Committed by android-build-merger
Browse files

Test dynamic output shape in GeneratedTests. am: d22c5232 

am: 6693e762

Change-Id: I45161df366d760d96831c2f4f5cff428ac8f742c
parents 0aec977a 6693e762

neuralnetworks/1.2/vts/functional/Android.bp

+12 −1
Original line number Diff line number Diff line
@@ -20,7 +20,11 @@ cc_test { 
    defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],

    srcs: [

        "GeneratedTestsV1_0.cpp",

    ]

    ],

    cflags: [

        "-DNN_TEST_DYNAMIC_OUTPUT_SHAPE"

    ],

    test_suites: ["general-tests"],

}



// Tests for V1_1 models using the V1_2 HAL.
@@ -30,6 +34,10 @@ cc_test { 
    srcs: [

        "GeneratedTestsV1_1.cpp",

    ],

    cflags: [

        "-DNN_TEST_DYNAMIC_OUTPUT_SHAPE"

    ],

    test_suites: ["general-tests"],

}



// Tests for V1_2 models.
@@ -40,5 +48,8 @@ cc_test { 
        "BasicTests.cpp",

        "GeneratedTests.cpp",

    ],

    cflags: [

        "-DNN_TEST_DYNAMIC_OUTPUT_SHAPE"

    ],

    test_suites: ["general-tests"],

}

neuralnetworks/1.2/vts/functional/GeneratedTests.cpp

+2 −1
Original line number Diff line number Diff line
@@ -33,7 +33,8 @@ namespace neuralnetworks { 
namespace generated_tests {

using ::test_helper::MixedTypedExample;

extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,

                    std::function<bool(int)>, const std::vector<MixedTypedExample>&);

                    std::function<bool(int)>, const std::vector<MixedTypedExample>&,

                    bool testDynamicOutputShape = false);

}  // namespace generated_tests



namespace V1_2 {

neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp

+2 −1
Original line number Diff line number Diff line
@@ -33,7 +33,8 @@ namespace neuralnetworks { 
namespace generated_tests {

using ::test_helper::MixedTypedExample;

extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,

                    std::function<bool(int)>, const std::vector<MixedTypedExample>&);

                    std::function<bool(int)>, const std::vector<MixedTypedExample>&,

                    bool testDynamicOutputShape = false);

}  // namespace generated_tests



namespace V1_2 {

neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp

+2 −1
Original line number Diff line number Diff line
@@ -33,7 +33,8 @@ namespace neuralnetworks { 
namespace generated_tests {

using ::test_helper::MixedTypedExample;

extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,

                    std::function<bool(int)>, const std::vector<MixedTypedExample>&);

                    std::function<bool(int)>, const std::vector<MixedTypedExample>&,

                    bool testDynamicOutputShape = false);

}  // namespace generated_tests



namespace V1_2 {

neuralnetworks/1.2/vts/functional/ValidateModel.cpp

+3 −0
Original line number Diff line number Diff line
@@ -172,6 +172,9 @@ static uint32_t getInvalidRank(OperandType type) { 
static void mutateOperandRankTest(const sp<IDevice>& device, const Model& model) {

    for (size_t operand = 0; operand < model.operands.size(); ++operand) {

        const uint32_t invalidRank = getInvalidRank(model.operands[operand].type);

        if (invalidRank == 0) {

            continue;

        }

        const std::string message = "mutateOperandRankTest: operand " + std::to_string(operand) +

                                    " has rank of " + std::to_string(invalidRank);

        validate(device, message, model, [operand, invalidRank](Model* model) {