From 48728ab85777b60720619c696bb60d5e81a987d6 Mon Sep 17 00:00:00 2001 From: =?utf8?q?=EC=98=A4=ED=98=95=EC=84=9D/On-Device=20Lab=28SR=29/Staff?= =?utf8?q?=20Engineer/=EC=82=BC=EC=84=B1=EC=A0=84=EC=9E=90?= Date: Mon, 14 Oct 2019 15:24:14 +0900 Subject: [PATCH] [nnapi-test] Use android 10 test generation (#8040) Use android 10 test generation - Disable TestCompliance util - Disable _Float16 feature - Disable dynamic output shape test generation - Fix to use c++11 feature - Update generated code archive for tizen build Signed-off-by: Hyeongseok Oh --- packaging/nnapi_test_generated.tar.gz | Bin 448102 -> 476093 bytes tests/nnapi/CMakeLists.txt | 7 +- tests/nnapi/include/TestHarness.h | 449 ++++++++++++++++----- .../nnapi_test_generator/android-10/README.md | 11 +- .../android-10/cts_generator.py | 49 ++- .../android-10/test_generator.py | 9 +- tests/nnapi/specs/generate_test.sh | 118 ++++-- tests/nnapi/src/TestGenerated.cpp | 287 +++++++++---- tests/nnapi/src/TestGenerated.h | 101 +++++ tests/nnapi/src/TestGenerated_Ex.cpp | 2 +- tests/nnapi/src/TestGenerated_V1_0.cpp | 2 +- tests/nnapi/src/TestGenerated_V1_1.cpp | 2 +- tests/nnapi/src/TestGenerated_common.cpp | 134 ------ tests/nnapi/src/TestMain.cpp | 3 +- 14 files changed, 797 insertions(+), 377 deletions(-) create mode 100644 tests/nnapi/src/TestGenerated.h delete mode 100644 tests/nnapi/src/TestGenerated_common.cpp diff --git a/packaging/nnapi_test_generated.tar.gz b/packaging/nnapi_test_generated.tar.gz index 057fe47dcfcce9de397681e47738089fdf5cbbeb..d574e696d6feb9aa343d0538d57fc18796cd7d25 100644 GIT binary patch literal 476093 zcmeFac|6qp*FRqNK_-KcWh`SWF;OVXJ4=j+NHrB^ENMq6Lzbx-#bk^nGDSoiZM55` zF$xh$kt}0hvJA#H%*^|z>-sF$b={xq{@wTexbN@d^Z7jd;W%^VoY#52&ikC_`}O9J zH#}Z!RbfSz*DAp=OIBk0>l98Vtujnh`H))6wCTHwQqh;YCl1{{Juxvb8JsOyecjZ) zeD3|+>k)}X8oV~g|6uMWx48{nTS--i+}5Y`N^Udm4<0l*956a%lF?Nb_A=&NN=nAY z>&j^b;TJCH9ZlJ5ur~S!@Qd*MAlYIeD28Ww_w;a z1v%Uu(`@@|;{h)}nzZjWDy9MVq=;DcZ>za}m$bU70c%N;yx_T~i5AzNDubq`M6f>D 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-namespace generated_tests { +namespace test_helper { constexpr const size_t gMaximumNumberOfErrorMessages = 10; -typedef std::map> Float32Operands; -typedef std::map> Int32Operands; -typedef std::map> Quant8Operands; -typedef std::tuple - MixedTyped; -typedef std::pair MixedTypedExampleType; +// TODO: Figure out the build dependency to make including "CpuOperationUtils.h" work. +// Fix for neurun: comment out convertFloat16ToFloat32 +//inline void convertFloat16ToFloat32(const _Float16* input, std::vector* output) { +// for (size_t i = 0; i < output->size(); ++i) { +// (*output)[i] = static_cast(input[i]); +// } +//} -template -struct MixedTypedIndex {}; +// This class is a workaround for two issues our code relies on: +// 1. sizeof(bool) is implementation defined. +// 2. vector does not allow direct pointer access via the data() method. +class bool8 { + public: + bool8() : mValue() {} + /* implicit */ bool8(bool value) : mValue(value) {} + inline operator bool() const { return mValue != 0; } -template <> -struct MixedTypedIndex { - static constexpr size_t index = 0; -}; -template <> -struct MixedTypedIndex { - static constexpr size_t index = 1; + private: + uint8_t mValue; }; -template <> -struct MixedTypedIndex { - static constexpr size_t index = 2; + +static_assert(sizeof(bool8) == 1, "size of bool8 must be 8 bits"); + +typedef std::map> OperandDimensions; +typedef std::map> Float32Operands; +typedef std::map> Int32Operands; +typedef std::map> Quant8AsymmOperands; +typedef std::map> Quant16SymmOperands; +// Fix for neurun: comment out Float16Operands +//typedef std::map> Float16Operands; +typedef std::map> Bool8Operands; +typedef std::map> Quant8ChannelOperands; +typedef std::map> Quant16AsymmOperands; +typedef std::map> Quant8SymmOperands; +struct MixedTyped { + static constexpr size_t kNumTypes = 9; + OperandDimensions operandDimensions; + Float32Operands float32Operands; + Int32Operands int32Operands; + Quant8AsymmOperands quant8AsymmOperands; + Quant16SymmOperands quant16SymmOperands; + // Fix for neurun comment out Float16Operands + //Float16Operands float16Operands; + Bool8Operands bool8Operands; + Quant8ChannelOperands quant8ChannelOperands; + Quant16AsymmOperands quant16AsymmOperands; + Quant8SymmOperands quant8SymmOperands; }; +typedef std::pair MixedTypedExampleType; + +// Mixed-typed examples +typedef struct { + MixedTypedExampleType operands; + // Specifies the RANDOM_MULTINOMIAL distribution tolerance. + // If set to greater than zero, the input is compared as log-probabilities + // to the output and must be within this tolerance to pass. + // Fix for neurun: Remove default value - c++11 don't support yet + //float expectedMultinomialDistributionTolerance = 0.0; + float expectedMultinomialDistributionTolerance; +} MixedTypedExample; // Go through all index-value pairs of a given input type template -inline void for_each(const MixedTyped& idx_and_data, +inline void for_each(const std::map>& idx_and_data, std::function&)> execute) { - for (auto& i : std::get::index>(idx_and_data)) { + for (auto& i : idx_and_data) { execute(i.first, i.second); } } // non-const variant of for_each template -inline void for_each(MixedTyped& idx_and_data, +inline void for_each(std::map>& idx_and_data, std::function&)> execute) { - for (auto& i : std::get::index>(idx_and_data)) { + for (auto& i : idx_and_data) { execute(i.first, i.second); } } +// Go through all index-value pairs of a given input type +template +inline void for_each(const std::map>& golden, + std::map>& test, + std::function&, std::vector&)> execute) { + for_each(golden, [&test, &execute](int index, const std::vector& g) { + auto& t = test[index]; + execute(index, g, t); + }); +} + +// Go through all index-value pairs of a given input type +template +inline void for_each( + const std::map>& golden, const std::map>& test, + std::function&, const std::vector&)> execute) { + for_each(golden, [&test, &execute](int index, const std::vector& g) { + auto t = test.find(index); + ASSERT_NE(t, test.end()); + execute(index, g, t->second); + }); +} + // internal helper for for_all template -inline void for_all_internal( - MixedTyped& idx_and_data, - std::function execute_this) { +inline void for_all_internal(std::map>& idx_and_data, + std::function execute_this) { for_each(idx_and_data, [&execute_this](int idx, std::vector& m) { execute_this(idx, static_cast(m.data()), m.size() * sizeof(T)); }); @@ -90,16 +148,24 @@ inline void for_all_internal( // expects a functor that takes (int index, void *raw data, size_t sz) inline void for_all(MixedTyped& idx_and_data, std::function execute_this) { - for_all_internal(idx_and_data, execute_this); - for_all_internal(idx_and_data, execute_this); - for_all_internal(idx_and_data, execute_this); + for_all_internal(idx_and_data.float32Operands, execute_this); + for_all_internal(idx_and_data.int32Operands, execute_this); + for_all_internal(idx_and_data.quant8AsymmOperands, execute_this); + for_all_internal(idx_and_data.quant16SymmOperands, execute_this); + // Fix for neurun: comment out float16Operands field + //for_all_internal(idx_and_data.float16Operands, execute_this); + for_all_internal(idx_and_data.bool8Operands, execute_this); + for_all_internal(idx_and_data.quant8ChannelOperands, execute_this); + for_all_internal(idx_and_data.quant16AsymmOperands, execute_this); + for_all_internal(idx_and_data.quant8SymmOperands, execute_this); + static_assert(9 == MixedTyped::kNumTypes, + "Number of types in MixedTyped changed, but for_all function wasn't updated"); } // Const variant of internal helper for for_all template -inline void for_all_internal( - const MixedTyped& idx_and_data, - std::function execute_this) { +inline void for_all_internal(const std::map>& idx_and_data, + std::function execute_this) { for_each(idx_and_data, [&execute_this](int idx, const std::vector& m) { execute_this(idx, static_cast(m.data()), m.size() * sizeof(T)); }); @@ -107,103 +173,266 @@ inline void for_all_internal( // Go through all index-value pairs (const variant) // expects a functor that takes (int index, const void *raw data, size_t sz) -inline void for_all( - const MixedTyped& idx_and_data, - std::function execute_this) { - for_all_internal(idx_and_data, execute_this); - for_all_internal(idx_and_data, execute_this); - for_all_internal(idx_and_data, execute_this); +inline void for_all(const MixedTyped& idx_and_data, + std::function execute_this) { + for_all_internal(idx_and_data.float32Operands, execute_this); + for_all_internal(idx_and_data.int32Operands, execute_this); + for_all_internal(idx_and_data.quant8AsymmOperands, execute_this); + for_all_internal(idx_and_data.quant16SymmOperands, execute_this); + // Fix for neurun: comment out float16Operands field + //for_all_internal(idx_and_data.float16Operands, execute_this); + for_all_internal(idx_and_data.bool8Operands, execute_this); + for_all_internal(idx_and_data.quant8ChannelOperands, execute_this); + for_all_internal(idx_and_data.quant16AsymmOperands, execute_this); + for_all_internal(idx_and_data.quant8SymmOperands, execute_this); + static_assert( + 9 == MixedTyped::kNumTypes, + "Number of types in MixedTyped changed, but const for_all function wasn't updated"); } // Helper template - resize test output per golden -template -void resize_accordingly_(const MixedTyped& golden, MixedTyped& test) { - std::function&)> execute = - [&test](int index, const std::vector& m) { - auto& t = std::get(test); - t[index].resize(m.size()); - }; - for_each(golden, execute); +template +inline void resize_accordingly_(const std::map>& golden, + std::map>& test) { + for_each(golden, test, + [](int, const std::vector& g, std::vector& t) { t.resize(g.size()); }); +} + +template <> +inline void resize_accordingly_(const OperandDimensions& golden, + OperandDimensions& test) { + for_each( + golden, test, + [](int, const std::vector& g, std::vector& t) { t = g; }); } inline void resize_accordingly(const MixedTyped& golden, MixedTyped& test) { - resize_accordingly_(golden, test); - resize_accordingly_(golden, test); - resize_accordingly_(golden, test); + resize_accordingly_(golden.operandDimensions, test.operandDimensions); + resize_accordingly_(golden.float32Operands, test.float32Operands); + resize_accordingly_(golden.int32Operands, test.int32Operands); + resize_accordingly_(golden.quant8AsymmOperands, test.quant8AsymmOperands); + resize_accordingly_(golden.quant16SymmOperands, test.quant16SymmOperands); + //Fix for neurun: comment out float16Operands field + //resize_accordingly_(golden.float16Operands, test.float16Operands); + resize_accordingly_(golden.bool8Operands, test.bool8Operands); + resize_accordingly_(golden.quant8ChannelOperands, test.quant8ChannelOperands); + resize_accordingly_(golden.quant16AsymmOperands, test.quant16AsymmOperands); + resize_accordingly_(golden.quant8SymmOperands, test.quant8SymmOperands); + static_assert(9 == MixedTyped::kNumTypes, + "Number of types in MixedTyped changed, but resize_accordingly function wasn't " + "updated"); } -template -void filter_internal(const MixedTyped& golden, MixedTyped* filtered, - std::function is_ignored) { - for_each(golden, - [filtered, &is_ignored](int index, const std::vector& m) { - auto& g = std::get(*filtered); - if (!is_ignored(index)) g[index] = m; - }); +template +void filter_internal(const std::map>& golden, + std::map>* filtered, std::function is_ignored) { + for_each(golden, [filtered, &is_ignored](int index, const std::vector& m) { + auto& g = *filtered; + if (!is_ignored(index)) g[index] = m; + }); } inline MixedTyped filter(const MixedTyped& golden, std::function is_ignored) { MixedTyped filtered; - filter_internal(golden, &filtered, is_ignored); - filter_internal(golden, &filtered, is_ignored); - filter_internal(golden, &filtered, is_ignored); + filter_internal(golden.operandDimensions, &filtered.operandDimensions, is_ignored); + filter_internal(golden.float32Operands, &filtered.float32Operands, is_ignored); + filter_internal(golden.int32Operands, &filtered.int32Operands, is_ignored); + filter_internal(golden.quant8AsymmOperands, &filtered.quant8AsymmOperands, is_ignored); + filter_internal(golden.quant16SymmOperands, &filtered.quant16SymmOperands, is_ignored); + // Fix for neurun: comment out float16Operands field + //filter_internal(golden.float16Operands, &filtered.float16Operands, is_ignored); + filter_internal(golden.bool8Operands, &filtered.bool8Operands, is_ignored); + filter_internal(golden.quant8ChannelOperands, &filtered.quant8ChannelOperands, is_ignored); + filter_internal(golden.quant16AsymmOperands, &filtered.quant16AsymmOperands, is_ignored); + filter_internal(golden.quant8SymmOperands, &filtered.quant8SymmOperands, is_ignored); + static_assert(9 == MixedTyped::kNumTypes, + "Number of types in MixedTyped changed, but compare function wasn't updated"); return filtered; } // Compare results -#define VECTOR_TYPE(x) \ - typename std::tuple_element::type::mapped_type -#define VALUE_TYPE(x) VECTOR_TYPE(x)::value_type -template -void compare_( - const MixedTyped& golden, const MixedTyped& test, - std::function - cmp) { - for_each( - golden, - [&test, &cmp](int index, const VECTOR_TYPE(tuple_index) & m) { - const auto& test_operands = std::get(test); - const auto& test_ty = test_operands.find(index); - ASSERT_NE(test_ty, test_operands.end()); - for (unsigned int i = 0; i < m.size(); i++) { - SCOPED_TRACE(testing::Message() - << "When comparing element " << i); - cmp(m[i], test_ty->second[i]); - } - }); -} -#undef VALUE_TYPE -#undef VECTOR_TYPE -inline void compare(const MixedTyped& golden, const MixedTyped& test, float fpRange = 1e-5f) { - size_t totalNumberOfErrors = 0; - compare_<0>(golden, test, [&totalNumberOfErrors, fpRange](float g, float t) { - if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { - EXPECT_NEAR(g, t, fpRange); - } - if (std::abs(g - t) > fpRange) { - totalNumberOfErrors++; - } - }); - compare_<1>(golden, test, [&totalNumberOfErrors](int32_t g, int32_t t) { - if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { - EXPECT_EQ(g, t); - } - if (g != t) { - totalNumberOfErrors++; +template +void compare_(const std::map>& golden, + const std::map>& test, std::function cmp) { + for_each(golden, test, [&cmp](int index, const std::vector& g, const std::vector& t) { + for (unsigned int i = 0; i < g.size(); i++) { + SCOPED_TRACE(testing::Message() + << "When comparing output " << index << " element " << i); + cmp(g[i], t[i]); } }); - compare_<2>(golden, test, [&totalNumberOfErrors](uint8_t g, uint8_t t) { - if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { - EXPECT_NEAR(g, t, 1); +} + +// TODO: Allow passing accuracy criteria from spec. +// Currently we only need relaxed accuracy criteria on mobilenet tests, so we return the quant8 +// tolerance simply based on the current test name. +inline int getQuant8AllowedError() { + const ::testing::TestInfo* const testInfo = + ::testing::UnitTest::GetInstance()->current_test_info(); + const std::string testCaseName = testInfo->test_case_name(); + const std::string testName = testInfo->name(); + // We relax the quant8 precision for all tests with mobilenet: + // - CTS/VTS GeneratedTest and DynamicOutputShapeTest with mobilenet + // - VTS CompilationCachingTest and CompilationCachingSecurityTest except for TOCTOU tests + if (testName.find("mobilenet") != std::string::npos || + (testCaseName.find("CompilationCaching") != std::string::npos && + testName.find("TOCTOU") == std::string::npos)) { + return 2; + } else { + return 1; + } +} + +inline void compare(const MixedTyped& golden, const MixedTyped& test, + float fpAtol = 1e-5f, float fpRtol = 1e-5f) { + int quant8AllowedError = getQuant8AllowedError(); + for_each( + golden.operandDimensions, test.operandDimensions, + [](int index, const std::vector& g, const std::vector& t) { + SCOPED_TRACE(testing::Message() + << "When comparing dimensions for output " << index); + EXPECT_EQ(g, t); + }); + size_t totalNumberOfErrors = 0; + compare_(golden.float32Operands, test.float32Operands, + [&totalNumberOfErrors, fpAtol, fpRtol](float expected, float actual) { + // Compute the range based on both absolute tolerance and relative tolerance + float fpRange = fpAtol + fpRtol * std::abs(expected); + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_NEAR(expected, actual, fpRange); + } + if (std::abs(expected - actual) > fpRange) { + totalNumberOfErrors++; + } + }); + compare_(golden.int32Operands, test.int32Operands, + [&totalNumberOfErrors](int32_t expected, int32_t actual) { + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_EQ(expected, actual); + } + if (expected != actual) { + totalNumberOfErrors++; + } + }); + compare_(golden.quant8AsymmOperands, test.quant8AsymmOperands, + [&totalNumberOfErrors, quant8AllowedError](uint8_t expected, uint8_t actual) { + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_NEAR(expected, actual, quant8AllowedError); + } + if (std::abs(expected - actual) > quant8AllowedError) { + totalNumberOfErrors++; + } + }); + compare_(golden.quant16SymmOperands, test.quant16SymmOperands, + [&totalNumberOfErrors](int16_t expected, int16_t actual) { + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_NEAR(expected, actual, 1); + } + if (std::abs(expected - actual) > 1) { + totalNumberOfErrors++; + } + }); + // Fix for neurun: comment out _Float16 compare + //compare_<_Float16>(golden.float16Operands, test.float16Operands, + // [&totalNumberOfErrors, fpAtol, fpRtol](_Float16 expected, _Float16 actual) { + // // Compute the range based on both absolute tolerance and relative + // // tolerance + // float fpRange = fpAtol + fpRtol * std::abs(static_cast(expected)); + // if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + // EXPECT_NEAR(expected, actual, fpRange); + // } + // if (std::abs(static_cast(expected - actual)) > fpRange) { + // totalNumberOfErrors++; + // } + // }); + compare_(golden.bool8Operands, test.bool8Operands, + [&totalNumberOfErrors](bool expected, bool actual) { + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_EQ(expected, actual); + } + if (expected != actual) { + totalNumberOfErrors++; + } + }); + compare_(golden.quant8ChannelOperands, test.quant8ChannelOperands, + [&totalNumberOfErrors, &quant8AllowedError](int8_t expected, int8_t actual) { + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_NEAR(expected, actual, quant8AllowedError); + } + if (std::abs(static_cast(expected) - static_cast(actual)) > + quant8AllowedError) { + totalNumberOfErrors++; + } + }); + compare_(golden.quant16AsymmOperands, test.quant16AsymmOperands, + [&totalNumberOfErrors](int16_t expected, int16_t actual) { + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_NEAR(expected, actual, 1); + } + if (std::abs(expected - actual) > 1) { + totalNumberOfErrors++; + } + }); + compare_(golden.quant8SymmOperands, test.quant8SymmOperands, + [&totalNumberOfErrors, quant8AllowedError](int8_t expected, int8_t actual) { + if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { + EXPECT_NEAR(expected, actual, quant8AllowedError); + } + if (std::abs(static_cast(expected) - static_cast(actual)) > + quant8AllowedError) { + totalNumberOfErrors++; + } + }); + + static_assert(9 == MixedTyped::kNumTypes, + "Number of types in MixedTyped changed, but compare function wasn't updated"); + EXPECT_EQ(size_t{0}, totalNumberOfErrors); +} + +// Calculates the expected probability from the unnormalized log-probability of +// each class in the input and compares it to the actual ocurrence of that class +// in the output. +inline void expectMultinomialDistributionWithinTolerance(const MixedTyped& test, + const MixedTypedExample& example) { + // TODO: These should be parameters but aren't currently preserved in the example. + const int kBatchSize = 1; + const int kNumClasses = 1024; + const int kNumSamples = 128; + + std::vector output = test.int32Operands.at(0); + std::vector class_counts; + class_counts.resize(kNumClasses); + for (int index : output) { + class_counts[index]++; + } + std::vector input; + Float32Operands float32Operands = example.operands.first.float32Operands; + if (!float32Operands.empty()) { + input = example.operands.first.float32Operands.at(0); + } /*else { + // Fix for neurun: comment out convertFloat16ToFloat32 + std::vector<_Float16> inputFloat16 = example.operands.first.float16Operands.at(0); + input.resize(inputFloat16.size()); + convertFloat16ToFloat32(inputFloat16.data(), &input); + }*/ + for (int b = 0; b < kBatchSize; ++b) { + float probability_sum = 0; + const int batch_index = kBatchSize * b; + for (int i = 0; i < kNumClasses; ++i) { + probability_sum += expf(input[batch_index + i]); } - if (std::abs(g - t) > 1) { - totalNumberOfErrors++; + for (int i = 0; i < kNumClasses; ++i) { + float probability = + static_cast(class_counts[i]) / static_cast(kNumSamples); + float probability_expected = expf(input[batch_index + i]) / probability_sum; + EXPECT_THAT(probability, + ::testing::FloatNear(probability_expected, + example.expectedMultinomialDistributionTolerance)); } - }); - EXPECT_EQ(size_t{0}, totalNumberOfErrors); + } } -}; // namespace generated_tests +}; // namespace test_helper #endif // ANDROID_ML_NN_TOOLS_TEST_GENERATOR_TEST_HARNESS_H diff --git a/tests/nnapi/nnapi_test_generator/android-10/README.md b/tests/nnapi/nnapi_test_generator/android-10/README.md index a0233cf..421c5f5 100644 --- a/tests/nnapi/nnapi_test_generator/android-10/README.md +++ b/tests/nnapi/nnapi_test_generator/android-10/README.md @@ -4,7 +4,7 @@ Original code is at https://android.googlesource.com/platform/frameworks/ml/+/re ### Fix for neurun -- Update path in this README.md file for neurun NNAPI frontend test +- Update path in this `README.md` file for neurun NNAPI frontend test - `nn/runtime/test/specs/` => `tests/nnapi/specs/` - $ANDROID_BUILD_TOP/frameworks/ml/nn/runtime/test/specs => $NNAS_PROJECT_PATH/tests/nnapi/specs - Rebuild with mm afterwards => Rebuild afterwards (mm is not supported) @@ -12,6 +12,15 @@ Original code is at https://android.googlesource.com/platform/frameworks/ml/+/re - `slicing.py` - `tests/` - `include/` (`TestHarness.h` is in `tests/nnapi/include`) +- Update `cts_generator.py` + - path for regular expression: + `((frameworks/ml/nn/(runtime/test/)?)|(vendor/google/[a-z]*/test/))` => `(tests/nnapi/src/)` + - Support EX operation + - Fix c++14 feature: change to c++11 constructor + - Comment out `TEST_AVAILABLE_SINCE()` macro generation + - Comment out unsupported `FLOAT16` on armv7 32bit architecture +- Update `test_generator.py` + - Comment out dynamic shape output test generation --- diff --git a/tests/nnapi/nnapi_test_generator/android-10/cts_generator.py b/tests/nnapi/nnapi_test_generator/android-10/cts_generator.py index 95c3399..eb18c56 100755 --- a/tests/nnapi/nnapi_test_generator/android-10/cts_generator.py +++ b/tests/nnapi/nnapi_test_generator/android-10/cts_generator.py @@ -106,7 +106,8 @@ namespace {spec_name} {{ #include "{model_file}" }} // namespace {spec_name}\n""" # This regex is to remove prefix and get relative path for #include - pathRegex = r".*((frameworks/ml/nn/(runtime/test/)?)|(vendor/google/[a-z]*/test/))" + # Fix for neurun: update path + pathRegex = r".*(tests/nnapi/src/)" specFileBase = os.path.basename(tg.FileNames.specFile) print(fileHeader.format(spec_file=specFileBase), file=model_fd) print(fileHeader.format(spec_file=specFileBase), file=example_fd) @@ -161,8 +162,13 @@ def DumpCtsModel(model, model_fd): p.initializer, p.type.GetCppTypeString(), p.type.GetNumberOfElements()) IndentedPrint(paramDef, file=model_fd) for op in model.operations: - IndentedPrint("model->addOperation(ANEURALNETWORKS_%s, {%s}, {%s});"%( - op.optype, tg.GetJointStr(op.ins), tg.GetJointStr(op.outs)), file=model_fd) + # Fix for neurun: EX operation + if re.search('_EX$', op.optype): + IndentedPrint("model->addOperationEx(ANEURALNETWORKS_%s, {%s}, {%s});"%( + op.optype, tg.GetJointStr(op.ins), tg.GetJointStr(op.outs)), file=model_fd) + else: + IndentedPrint("model->addOperation(ANEURALNETWORKS_%s, {%s}, {%s});"%( + op.optype, tg.GetJointStr(op.ins), tg.GetJointStr(op.outs)), file=model_fd) # Phase 3: add inputs and outputs print (" // Phase 3, inputs and outputs", file=model_fd) @@ -204,28 +210,30 @@ def DumpMixedType(operands, feedDict): except KeyError as e: traceback.print_exc() sys.exit("Cannot dump tensor of type {}".format(operand.type.type)) + # NFix for neurun: fix designated initializer (not supported on c++11) + # comment out FLOAT16 type mixedTypeTemplate = """\ {{ // See tools/test_generator/include/TestHarness.h:MixedTyped // int -> Dimensions map - .operandDimensions = {{{dimensions_map}}}, + {{{dimensions_map}}}, // int -> FLOAT32 map - .float32Operands = {{{float32_map}}}, + {{{float32_map}}}, // int -> INT32 map - .int32Operands = {{{int32_map}}}, + {{{int32_map}}}, // int -> QUANT8_ASYMM map - .quant8AsymmOperands = {{{uint8_map}}}, + {{{uint8_map}}}, // int -> QUANT16_SYMM map - .quant16SymmOperands = {{{int16_map}}}, + {{{int16_map}}}, // int -> FLOAT16 map - .float16Operands = {{{float16_map}}}, + //{{{float16_map}}}, // int -> BOOL8 map - .bool8Operands = {{{bool8_map}}}, + {{{bool8_map}}}, // int -> QUANT8_SYMM_PER_CHANNEL map - .quant8ChannelOperands = {{{int8_map}}}, + {{{int8_map}}}, // int -> QUANT16_ASYMM map - .quant16AsymmOperands = {{{uint16_map}}}, + {{{uint16_map}}}, // int -> QUANT8_SYMM map - .quant8SymmOperands = {{{quant8_symm_map}}}, + {{{quant8_symm_map}}}, }}""" return mixedTypeTemplate.format( dimensions_map=tg.GetJointStr(typedMap.get("DIMENSIONS", [])), @@ -246,16 +254,20 @@ def DumpCtsExample(example, example_fd): print("std::vector& get_%s() {" % (example.examplesName), file=example_fd) print("static std::vector %s = {" % (example.examplesName), file=example_fd) for inputFeedDict, outputFeedDict in example.feedDicts: + # Fix designated initializer (c++11 don't support yet) print ('// Begin of an example', file = example_fd) - print ('{\n.operands = {', file = example_fd) + print ('{\n {', file = example_fd) inputs = DumpMixedType(example.model.GetInputs(), inputFeedDict) outputs = DumpMixedType(example.model.GetOutputs(), outputFeedDict) print ('//Input(s)\n%s,' % inputs , file = example_fd) print ('//Output(s)\n%s' % outputs, file = example_fd) print ('},', file = example_fd) + # Fix designated initializer (c++11 don't support yet) if example.expectedMultinomialDistributionTolerance is not None: - print ('.expectedMultinomialDistributionTolerance = %f' % + print ('%f' % example.expectedMultinomialDistributionTolerance, file = example_fd) + else: + print ('0.0', file = example_fd) print ('}, // End of an example', file = example_fd) print("};", file=example_fd) print("return %s;" % (example.examplesName), file=example_fd) @@ -268,9 +280,10 @@ TEST_F({test_case_name}, {test_name}) {{ execute({namespace}::{create_model_name}, {namespace}::{is_ignored_name}, {namespace}::get_{examples_name}(){log_file});\n}}\n""" - if example.model.version is not None: - testTemplate += """\ -TEST_AVAILABLE_SINCE({version}, {test_name}, {namespace}::{create_model_name})\n""" + # Fix for neurun: Remove version check + #if example.model.version is not None: + #testTemplate += """\ +#TEST_AVAILABLE_SINCE({version}, {test_name}, {namespace}::{create_model_name})\n""" print(testTemplate.format( test_case_name="DynamicOutputShapeTest" if example.model.hasDynamicOutputShape \ else "GeneratedTests", diff --git a/tests/nnapi/nnapi_test_generator/android-10/test_generator.py b/tests/nnapi/nnapi_test_generator/android-10/test_generator.py index ce30bd5..44bfd80 100755 --- a/tests/nnapi/nnapi_test_generator/android-10/test_generator.py +++ b/tests/nnapi/nnapi_test_generator/android-10/test_generator.py @@ -989,10 +989,11 @@ class Example: )) else: assert False - if Configuration.test_dynamic_output_shape: - self.variations = [[DefaultVariation(), DynamicOutputShapeConverter()]] - else: - self.variations = [] + # Fix for neurun: disable dynamic shape test generation + #if Configuration.test_dynamic_output_shape: + #self.variations = [[DefaultVariation(), DynamicOutputShapeConverter()]] + #else: + self.variations = [] Example.examples.append(self) @staticmethod diff --git a/tests/nnapi/specs/generate_test.sh b/tests/nnapi/specs/generate_test.sh index 2f1afbc..7f70f43 100755 --- a/tests/nnapi/specs/generate_test.sh +++ b/tests/nnapi/specs/generate_test.sh @@ -16,6 +16,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +set -Eeuo pipefail + NNAPI_VERSION=" V1_0 V1_1 @@ -35,36 +37,27 @@ Ex spec_dir=$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd ) export NNAPI_BASE=$(readlink -f "$spec_dir/../../..") -[ -z "$TEST_DIR" ] && TEST_DIR="tests/nnapi" +: ${TEST_DIR:=tests/nnapi} +: ${FORCE:=""} + +echo "NNAPI_BASE: ${NNAPI_BASE}" +echo "TEST_DIR: ${TEST_DIR}" +echo "FORCE: ${FORCE}" function generate_one_testcase { # Generate one testcase local LOGFILE=$2 if [ -n "$2" ]; then - local LOGFILE=", \"$2\"" + local LOGFILE="-l $2" fi - local BASENAME=`basename $1` - BASENAME=${BASENAME%".mod.py"}; + local BASENAME=`basename -s .mod.py $1` + local MODEL="-m $NNAPI_BASE/$TEST_DIR/src/generated/models/$BASENAME.model.cpp" local EXAMPLE="-e $NNAPI_BASE/$TEST_DIR/src/generated/examples/$BASENAME.example.cpp" + local TEST="-t $NNAPI_BASE/$TEST_DIR/src/generated/tests/$(basename $1).cpp" - $NNAPI_BASE/$TEST_DIR/nnapi_test_generator/android-p/test_generator.py ./`basename $1`\ - -m $NNAPI_BASE/$TEST_DIR/src/generated/models/$BASENAME.model.cpp $EXAMPLE + $NNAPI_BASE/$TEST_DIR/nnapi_test_generator/android-10/cts_generator.py $FORCE ./`basename $1` \ + $MODEL $EXAMPLE $TEST $LOGFILE ret=$? - # Paste these lines into TestGenerated.cpp - echo - echo namespace $BASENAME { - echo std::vector\ examples \= { - echo // Generated $BASENAME test - echo \#include \"generated/examples/$BASENAME.example.cpp\" - echo }\; - echo // Generated model constructor - echo \#include \"generated/models/$BASENAME.model.cpp\" - echo } // namespace $BASENAME - echo TEST_F\(GeneratedTests\, $BASENAME\) { - echo ' execute'\($BASENAME\:\:CreateModel\, - echo ' '$BASENAME\:\:is_ignored\, - echo ' '$BASENAME\:\:examples${LOGFILE}\)\; - echo } return $ret } @@ -82,44 +75,99 @@ function generate_wrapper { shift shift fi + cd $NNAPI_BASE/$TEST_DIR/specs + FOUND=0 + + CTSONEFILE=$NNAPI_BASE/$TEST_DIR/for-cts/TestGeneratedOneFile.cpp + echo "// clang-format off" > $CTSONEFILE + echo "// DO NOT EDIT;" >> $CTSONEFILE + echo "// Generated by ml/nn/runtime/test/specs/generate_test.sh" >> $CTSONEFILE + echo "#include \"../GeneratedUtils.cpp\"" >> $CTSONEFILE + + for ver in $NNAPI_VERSION; + do + VER_DIR=$NNAPI_BASE/$TEST_DIR/specs/$ver + [ ! -d $VER_DIR ] && continue + pushd $VER_DIR > /dev/null + for f in $@; + do + if [ -f $(basename $f) ]; then + generate_one_testcase $f "$LOGFILE" >> $CTSONEFILE + if [ $? -ne 0 ]; then + echo "Failed processing $f" + return $? + fi + FOUND=1 + fi + done + popd > /dev/null + done + if [[ $FOUND -eq 0 ]]; then + echo did not find any files for $@ + exit 1 + fi + return $? +} +# Process all test spec directory specified by NNAPI_VERSION. +function generate_spec_dirs { mkdir -vp $NNAPI_BASE/$TEST_DIR/src/generated/models mkdir -vp $NNAPI_BASE/$TEST_DIR/src/generated/examples + mkdir -vp $NNAPI_BASE/$TEST_DIR/src/generated/tests cd $NNAPI_BASE/$TEST_DIR/specs for ver in $NNAPI_VERSION; do - OUTFILE=$NNAPI_BASE/$TEST_DIR/src/generated/all_generated_${ver}_cts_tests.cpp - echo "// DO NOT EDIT;" > $OUTFILE - echo "// Generated by ${TEST_DIR}/specs/generate_test.sh" >> $OUTFILE - + echo "start to generate ver: ${ver}" VER_DIR=$NNAPI_BASE/$TEST_DIR/specs/$ver [ ! -d $VER_DIR ] && continue - cd $VER_DIR - for f in $@; - do - generate_one_testcase $f $LOGFILE >> $OUTFILE - if [ $? -ne 0 ]; then - echo "Failed processing $f" + pushd $VER_DIR > /dev/null + + TARGET_MODEL_DIR="-m $NNAPI_BASE/$TEST_DIR/src/generated/models" + TARGET_EXAMPLE_DIR="-e $NNAPI_BASE/$TEST_DIR/src/generated/examples" + TARGET_TEST_DIR="-t $NNAPI_BASE/$TEST_DIR/src/generated/tests" + + $NNAPI_BASE/$TEST_DIR/nnapi_test_generator/android-10/cts_generator.py $FORCE $VER_DIR \ + $TARGET_MODEL_DIR $TARGET_EXAMPLE_DIR $TARGET_TEST_DIR + if [ $? -ne 0 ]; then + echo "Failed processing $VER_DIR" return $? - fi + fi + + # Workaround for cmake + OUTFILE="$NNAPI_BASE/$TEST_DIR/src/generated/all_generated_${ver}_cts_tests.cpp" + echo "Generating $OUTFILE" + echo "// Generated by tests/nnapi/specs/generate_test.sh" > "$OUTFILE" + echo "// DO NOT EDIT" >>"$OUTFILE" + echo "// clang-format off" >>"$OUTFILE" + for spec in "$NNAPI_BASE/$TEST_DIR/specs/${ver}/"*.mod.py; do + BASENAME="$(basename "$spec")" + echo "#include "\""generated/tests/${BASENAME}.cpp"\" >>"$OUTFILE" done + + popd > /dev/null done return $? } # Only run the following when not sourced by another script if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then + set -eu + if [ $# -gt 0 ]; then + if [ $1 = "-f" ] || [ $1 = "--force" ]; then + FORCE="-f" + shift + fi + fi if [ $# -eq 0 ]; then - FILES=*.mod.py + generate_spec_dirs $FORCE else FILES="$@" + generate_wrapper $FILES fi - generate_wrapper $FILES if [ $? -ne 0 ]; then exit $? fi - echo "Generated file in ${TEST_DIR}/src/generated/"`basename $OUTFILE` fi # [[ "${BASH_SOURCE[0]}" == "${0}" ]] diff --git a/tests/nnapi/src/TestGenerated.cpp b/tests/nnapi/src/TestGenerated.cpp index ef35dcf..a4148cf 100644 --- a/tests/nnapi/src/TestGenerated.cpp +++ b/tests/nnapi/src/TestGenerated.cpp @@ -1,9 +1,5 @@ /* * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved - * - * generated/all_generated_tests.cpp that is included in the bottom line - * in file is also modified. - * * Copyright (C) 2017 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); @@ -19,27 +15,39 @@ * limitations under the License. */ -// Top level driver for models and examples generated by test_generator.py - -#include "NeuralNetworksWrapper.h" +#include "TestGenerated.h" #include "TestHarness.h" #include + +#include +#include #include #include #include #include #include +#include -// Uncomment the following line to generate DOT graphs. -// -// #define GRAPH GRAPH +// Systrace is not available from CTS tests due to platform layering +// constraints. We reuse the NNTEST_ONLY_PUBLIC_API flag, as that should also be +// the case for CTS (public APIs only). +// NNFW Fix: Always use NNTEST_ONLY_PUBLIC_API +//#ifndef NNTEST_ONLY_PUBLIC_API +//#include "Tracing.h" +//#else +#define NNTRACE_FULL_RAW(...) +#define NNTRACE_APP(...) +#define NNTRACE_APP_SWITCH(...) +//#endif namespace generated_tests { -using namespace nnfw::rt::wrapper; +using namespace nnfw::rt::test_wrapper; +using namespace test_helper; +namespace { template -static void print(std::ostream& os, const MixedTyped& test) { +void print(std::ostream& os, const std::map>& test) { // dump T-typed inputs for_each(test, [&os](int idx, const std::vector& f) { os << " aliased_output" << idx << ": ["; @@ -50,22 +58,59 @@ static void print(std::ostream& os, const MixedTyped& test) { }); } -static void printAll(std::ostream& os, const MixedTyped& test) { - print(os, test); - print(os, test); - print(os, test); +// Specialized for _Float16 because it requires explicit conversion. +// Fix for neurun: comment out +//template <> +//void print<_Float16>(std::ostream& os, const std::map>& test) { +// for_each<_Float16>(test, [&os](int idx, const std::vector<_Float16>& f) { +// os << " aliased_output" << idx << ": ["; +// for (size_t i = 0; i < f.size(); ++i) { +// os << (i == 0 ? "" : ", ") << +static_cast(f[i]); +// } +// os << "],\n"; +// }); +//} + +void printAll(std::ostream& os, const MixedTyped& test) { + print(os, test.float32Operands); + print(os, test.int32Operands); + print(os, test.quant8AsymmOperands); + print(os, test.quant16SymmOperands); + // Fix for neurun: comment out + //print(os, test.float16Operands); + print(os, test.bool8Operands); + print(os, test.quant8ChannelOperands); + print(os, test.quant16AsymmOperands); + print(os, test.quant8SymmOperands); + static_assert(9 == MixedTyped::kNumTypes, + "Number of types in MixedTyped changed, but printAll function wasn't updated"); } +} // namespace -// Test driver for those generated from ml/nn/runtime/test/spec -static void execute(std::function createModel, - std::function isIgnored, - std::vector& examples, - std::string dumpFile = "") { - Model model; - createModel(&model); - model.finish(); - bool dumpToFile = !dumpFile.empty(); +Compilation GeneratedTests::compileModel(const Model* model) { + NNTRACE_APP(NNTRACE_PHASE_COMPILATION, "compileModel"); + if (mTestCompilationCaching) { + // Compile the model twice with the same token, so that compilation caching will be + // exercised if supported by the driver. + Compilation compilation1(model); + compilation1.setCaching(mCacheDir, mToken); + compilation1.finish(); + Compilation compilation2(model); + compilation2.setCaching(mCacheDir, mToken); + compilation2.finish(); + return compilation2; + } else { + Compilation compilation(model); + compilation.finish(); + return compilation; + } +} +void GeneratedTests::executeWithCompilation(const Model* model, Compilation* compilation, + std::function isIgnored, + std::vector& examples, + std::string dumpFile) { + bool dumpToFile = !dumpFile.empty(); std::ofstream s; if (dumpToFile) { s.open(dumpFile, std::ofstream::trunc); @@ -73,67 +118,173 @@ static void execute(std::function createModel, } int exampleNo = 0; - Compilation compilation(&model); - compilation.finish(); - - const float fpRange = 1e-5f; + float fpAtol = 1e-5f; + float fpRtol = 5.0f * 1.1920928955078125e-7f; for (auto& example : examples) { + NNTRACE_APP(NNTRACE_PHASE_EXECUTION, "executeWithCompilation example"); SCOPED_TRACE(exampleNo); // TODO: We leave it as a copy here. // Should verify if the input gets modified by the test later. - MixedTyped inputs = example.first; - const MixedTyped& golden = example.second; - - Execution execution(&compilation); + MixedTyped inputs = example.operands.first; + const MixedTyped& golden = example.operands.second; - // Set all inputs - for_all(inputs, [&execution](int idx, const void* p, size_t s) { - const void* buffer = s == 0 ? nullptr : p; - ASSERT_EQ(Result::NO_ERROR, execution.setInput(idx, buffer, s)); - }); + // NNFW Fix: comment out using hasFloat16Inputs + //const bool hasFloat16Inputs = !inputs.float16Operands.empty(); + if (model->isRelaxed()/* || hasFloat16Inputs*/) { + // TODO: Adjust the error limit based on testing. + // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16. + fpAtol = 5.0f * 0.0009765625f; + // Set the relative tolerance to be 5ULP of the corresponding FP precision. + fpRtol = 5.0f * 0.0009765625f; + } + Execution execution(compilation); MixedTyped test; - // Go through all typed outputs - resize_accordingly(golden, test); - for_all(test, [&execution](int idx, void* p, size_t s) { - void* buffer = s == 0 ? nullptr : p; - ASSERT_EQ(Result::NO_ERROR, execution.setOutput(idx, buffer, s)); - }); + { + NNTRACE_APP(NNTRACE_PHASE_INPUTS_AND_OUTPUTS, "executeWithCompilation example"); + // Set all inputs + for_all(inputs, [&execution](int idx, const void* p, size_t s) { + const void* buffer = s == 0 ? nullptr : p; + ASSERT_EQ(Result::NO_ERROR, execution.setInput(idx, buffer, s)); + }); + + // Go through all typed outputs + resize_accordingly(golden, test); + for_all(test, [&execution](int idx, void* p, size_t s) { + void* buffer = s == 0 ? nullptr : p; + ASSERT_EQ(Result::NO_ERROR, execution.setOutput(idx, buffer, s)); + }); + } Result r = execution.compute(); ASSERT_EQ(Result::NO_ERROR, r); + { + NNTRACE_APP(NNTRACE_PHASE_RESULTS, "executeWithCompilation example"); - // Dump all outputs for the slicing tool - if (dumpToFile) { - s << "output" << exampleNo << " = {\n"; - printAll(s, test); - // all outputs are done - s << "}\n"; - } + // Get output dimensions + for_each( + test.operandDimensions, [&execution](int idx, std::vector& t) { + ASSERT_EQ(Result::NO_ERROR, execution.getOutputOperandDimensions(idx, &t)); + }); + + // Dump all outputs for the slicing tool + if (dumpToFile) { + s << "output" << exampleNo << " = {\n"; + printAll(s, test); + // all outputs are done + s << "}\n"; + } - // Filter out don't cares - MixedTyped filteredGolden = filter(golden, isIgnored); - MixedTyped filteredTest = filter(test, isIgnored); - // We want "close-enough" results for float + // Filter out don't cares + MixedTyped filteredGolden = filter(golden, isIgnored); + MixedTyped filteredTest = filter(test, isIgnored); + // We want "close-enough" results for float - compare(filteredGolden, filteredTest, fpRange); + compare(filteredGolden, filteredTest, fpAtol, fpRtol); + } exampleNo++; + + if (example.expectedMultinomialDistributionTolerance > 0) { + expectMultinomialDistributionWithinTolerance(test, example); + } + } +} + +void GeneratedTests::executeOnce(const Model* model, std::function isIgnored, + std::vector& examples, std::string dumpFile) { + NNTRACE_APP(NNTRACE_PHASE_OVERALL, "executeOnce"); + Compilation compilation = compileModel(model); + executeWithCompilation(model, &compilation, isIgnored, examples, dumpFile); +} + +void GeneratedTests::executeMultithreadedOwnCompilation(const Model* model, + std::function isIgnored, + std::vector& examples) { + NNTRACE_APP(NNTRACE_PHASE_OVERALL, "executeMultithreadedOwnCompilation"); + SCOPED_TRACE("MultithreadedOwnCompilation"); + std::vector threads; + for (int i = 0; i < 10; i++) { + threads.push_back(std::thread([&]() { executeOnce(model, isIgnored, examples, ""); })); + } + std::for_each(threads.begin(), threads.end(), [](std::thread& t) { t.join(); }); +} + +void GeneratedTests::executeMultithreadedSharedCompilation( + const Model* model, std::function isIgnored, + std::vector& examples) { + NNTRACE_APP(NNTRACE_PHASE_OVERALL, "executeMultithreadedSharedCompilation"); + SCOPED_TRACE("MultithreadedSharedCompilation"); + Compilation compilation = compileModel(model); + std::vector threads; + for (int i = 0; i < 10; i++) { + threads.push_back(std::thread( + [&]() { executeWithCompilation(model, &compilation, isIgnored, examples, ""); })); } + std::for_each(threads.begin(), threads.end(), [](std::thread& t) { t.join(); }); } -}; // namespace generated_tests +// Test driver for those generated from ml/nn/runtime/test/spec +void GeneratedTests::execute(std::function createModel, + std::function isIgnored, + std::vector& examples, + [[maybe_unused]] std::string dumpFile) { + NNTRACE_APP(NNTRACE_PHASE_OVERALL, "execute"); + Model model; + createModel(&model); + model.finish(); + auto executeInternal = [&model, &isIgnored, &examples, + this]([[maybe_unused]] std::string dumpFile) { + SCOPED_TRACE("TestCompilationCaching = " + std::to_string(mTestCompilationCaching)); +#ifndef NNTEST_MULTITHREADED + executeOnce(&model, isIgnored, examples, dumpFile); +#else // defined(NNTEST_MULTITHREADED) + executeMultithreadedOwnCompilation(&model, isIgnored, examples); + executeMultithreadedSharedCompilation(&model, isIgnored, examples); +#endif // !defined(NNTEST_MULTITHREADED) + }; + + mTestCompilationCaching = false; +// Fix for neurun: Not supported feature - copmilation caching +// TODO Enable this +#if 0 + executeInternal(dumpFile); + mTestCompilationCaching = true; +#endif + executeInternal(""); +} -using namespace nnfw::rt::wrapper; +void GeneratedTests::SetUp() { +#ifdef NNTEST_COMPUTE_MODE + mOldComputeMode = Execution::setComputeMode(GetParam()); +#endif + // Fix for neurun: Fix file path for linux + char cacheDirTemp[] = "/tmp/TestCompilationCachingXXXXXX"; + //char cacheDirTemp[] = "/data/local/tmp/TestCompilationCachingXXXXXX"; + char* cacheDir = mkdtemp(cacheDirTemp); + ASSERT_NE(cacheDir, nullptr); + mCacheDir = cacheDir; + mToken = std::vector(ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN, 0); +} -// Mixed-typed examples -typedef generated_tests::MixedTypedExampleType MixedTypedExample; +void GeneratedTests::TearDown() { +#ifdef NNTEST_COMPUTE_MODE + Execution::setComputeMode(mOldComputeMode); +#endif + if (!::testing::Test::HasFailure()) { + // TODO: Switch to std::filesystem::remove_all once libc++fs is made available in CTS. + // Remove the cache directory specified by path recursively. + auto callback = [](const char* child, const struct stat*, int, struct FTW*) { + return remove(child); + }; + nftw(mCacheDir.c_str(), callback, 128, FTW_DEPTH | FTW_MOUNT | FTW_PHYS); + } +} -class GeneratedTests : public ::testing::Test { - protected: - virtual void SetUp() {} -}; +#ifdef NNTEST_COMPUTE_MODE +INSTANTIATE_TEST_SUITE_P(ComputeMode, GeneratedTests, + testing::Values(Execution::ComputeMode::SYNC, + Execution::ComputeMode::ASYNC, + Execution::ComputeMode::BURST)); +#endif -// Testcases generated from runtime/test/specs/*.mod.py -using namespace generated_tests; -#include "generated/all_generated_tests.cpp" -// End of testcases generated from runtime/test/specs/*.mod.py +} // namespace generated_tests diff --git a/tests/nnapi/src/TestGenerated.h b/tests/nnapi/src/TestGenerated.h new file mode 100644 index 0000000..ea78695 --- /dev/null +++ b/tests/nnapi/src/TestGenerated.h @@ -0,0 +1,101 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright (C) 2017 The Android Open Source Project + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#ifndef ANDROID_FRAMEWORK_ML_NN_RUNTIME_TEST_TESTGENERATED_H +#define ANDROID_FRAMEWORK_ML_NN_RUNTIME_TEST_TESTGENERATED_H + +#include + +// Fix for NNFW: comment out include TestCompliance.h +//#include "TestCompliance.h" +#include "TestHarness.h" +#include "TestNeuralNetworksWrapper.h" + +#ifdef NNTEST_CTS +#define NNTEST_COMPUTE_MODE +#endif + +#ifdef NNTEST_COMPUTE_MODE +#define GENERATED_TESTS_BASE testing::TestWithParam +#undef TEST_F +#define TEST_F TEST_P +// Only generated tests include the TestGenerated.h header file, so only those +// tests will be affected by changing their TEST_F to TEST_P. If we +// accidentally change TEST_F to TEST_P in some other context, we will get a +// compile-time failure, because TEST_F requires a non-value-parameterized +// fixture class whereas TEST_P requires a value-parameterized fixture class. +// +// Example failure: +// +// clang-format off +// gtest-param-util.h:488:41: error: no type named 'ParamType' in '(anonymous namespace)::MemoryTest' +// using ParamType = typename TestSuite::ParamType; +// ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ +// TestMemory.cpp:43:1: note: in instantiation of template class 'testing::internal::ParameterizedTestSuiteInfo<(anonymous namespace)::MemoryTest>' requested here +// TEST_P(MemoryTest, TestFd) { +// ^ +// gtest-param-test.h:428:11: note: expanded from macro 'TEST_P' +// clang-format on +#else +#define GENERATED_TESTS_BASE ::testing::Test +#endif + +using namespace nnfw::rt::test_wrapper; +using namespace test_helper; + +namespace generated_tests { + +class GeneratedTests : public GENERATED_TESTS_BASE { + protected: + virtual void SetUp() override; + virtual void TearDown() override; + + Compilation compileModel(const Model* model); + void executeWithCompilation(const Model* model, Compilation* compilation, + std::function isIgnored, + std::vector& examples, std::string dumpFile); + void executeOnce(const Model* model, std::function isIgnored, + std::vector& examples, std::string dumpFile); + void executeMultithreadedOwnCompilation(const Model* model, std::function isIgnored, + std::vector& examples); + void executeMultithreadedSharedCompilation(const Model* model, + std::function isIgnored, + std::vector& examples); + // Test driver for those generated from ml/nn/runtime/test/spec + void execute(std::function createModel, std::function isIgnored, + std::vector& examples, std::string dumpFile = ""); + + std::string mCacheDir; + std::vector mToken; + bool mTestCompilationCaching; +#ifdef NNTEST_COMPUTE_MODE + // SetUp() uses Execution::setComputeMode() to establish a new ComputeMode, + // and saves off the previous ComputeMode here; TearDown() restores that + // previous ComputeMode, so that subsequent tests will not be affected by + // the SetUp() ComputeMode change. + Execution::ComputeMode mOldComputeMode; +#endif +}; + +// Tag for the dynamic output shape tests +class DynamicOutputShapeTest : public GeneratedTests {}; + +} // namespace generated_tests + +using namespace generated_tests; + +#endif // ANDROID_FRAMEWORK_ML_NN_RUNTIME_TEST_TESTGENERATED_H diff --git a/tests/nnapi/src/TestGenerated_Ex.cpp b/tests/nnapi/src/TestGenerated_Ex.cpp index 2953c34..5272c3a 100644 --- a/tests/nnapi/src/TestGenerated_Ex.cpp +++ b/tests/nnapi/src/TestGenerated_Ex.cpp @@ -19,6 +19,6 @@ * limitations under the License. */ -#include "TestGenerated_common.cpp" +#include "TestGenerated.h" using namespace generated_tests; #include "generated/all_generated_Ex_cts_tests.cpp" diff --git a/tests/nnapi/src/TestGenerated_V1_0.cpp b/tests/nnapi/src/TestGenerated_V1_0.cpp index 7266e77..9eedefd 100644 --- a/tests/nnapi/src/TestGenerated_V1_0.cpp +++ b/tests/nnapi/src/TestGenerated_V1_0.cpp @@ -19,6 +19,6 @@ * limitations under the License. */ -#include "TestGenerated_common.cpp" +#include "TestGenerated.h" using namespace generated_tests; #include "generated/all_generated_V1_0_cts_tests.cpp" diff --git a/tests/nnapi/src/TestGenerated_V1_1.cpp b/tests/nnapi/src/TestGenerated_V1_1.cpp index e3251a0..9aa7507 100644 --- a/tests/nnapi/src/TestGenerated_V1_1.cpp +++ b/tests/nnapi/src/TestGenerated_V1_1.cpp @@ -19,6 +19,6 @@ * limitations under the License. */ -#include "TestGenerated_common.cpp" +#include "TestGenerated.h" using namespace generated_tests; #include "generated/all_generated_V1_1_cts_tests.cpp" diff --git a/tests/nnapi/src/TestGenerated_common.cpp b/tests/nnapi/src/TestGenerated_common.cpp deleted file mode 100644 index 2d17efe..0000000 --- a/tests/nnapi/src/TestGenerated_common.cpp +++ /dev/null @@ -1,134 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved - * - * generated/all_generated_tests.cpp that is included in the bottom line - * in file is also modified. - * - * Copyright (C) 2017 The Android Open Source Project - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -// Top level driver for models and examples generated by test_generator.py - -#include "NeuralNetworksWrapper.h" -#include "TestHarness.h" - -#include -#include -#include -#include -#include -#include - -// Uncomment the following line to generate DOT graphs. -// -// #define GRAPH GRAPH - -namespace generated_tests { -using namespace nnfw::rt::wrapper; - -template -static void print(std::ostream& os, const MixedTyped& test) { - // dump T-typed inputs - for_each(test, [&os](int idx, const std::vector& f) { - os << " aliased_output" << idx << ": ["; - for (size_t i = 0; i < f.size(); ++i) { - os << (i == 0 ? "" : ", ") << +f[i]; - } - os << "],\n"; - }); -} - -static void printAll(std::ostream& os, const MixedTyped& test) { - print(os, test); - print(os, test); - print(os, test); -} - -// Test driver for those generated from ml/nn/runtime/test/spec -static void execute(std::function createModel, - std::function isIgnored, - std::vector& examples, - std::string dumpFile = "") { - Model model; - createModel(&model); - model.finish(); - bool dumpToFile = !dumpFile.empty(); - - std::ofstream s; - if (dumpToFile) { - s.open(dumpFile, std::ofstream::trunc); - ASSERT_TRUE(s.is_open()); - } - - int exampleNo = 0; - Compilation compilation(&model); - compilation.finish(); - - const float fpRange = 1e-5f; - for (auto& example : examples) { - SCOPED_TRACE(exampleNo); - // TODO: We leave it as a copy here. - // Should verify if the input gets modified by the test later. - MixedTyped inputs = example.first; - const MixedTyped& golden = example.second; - - Execution execution(&compilation); - - // Set all inputs - for_all(inputs, [&execution](int idx, const void* p, size_t s) { - const void* buffer = s == 0 ? nullptr : p; - ASSERT_EQ(Result::NO_ERROR, execution.setInput(idx, buffer, s)); - }); - - MixedTyped test; - // Go through all typed outputs - resize_accordingly(golden, test); - for_all(test, [&execution](int idx, void* p, size_t s) { - void* buffer = s == 0 ? nullptr : p; - ASSERT_EQ(Result::NO_ERROR, execution.setOutput(idx, buffer, s)); - }); - - Result r = execution.compute(); - ASSERT_EQ(Result::NO_ERROR, r); - - // Dump all outputs for the slicing tool - if (dumpToFile) { - s << "output" << exampleNo << " = {\n"; - printAll(s, test); - // all outputs are done - s << "}\n"; - } - - // Filter out don't cares - MixedTyped filteredGolden = filter(golden, isIgnored); - MixedTyped filteredTest = filter(test, isIgnored); - // We want "close-enough" results for float - - compare(filteredGolden, filteredTest, fpRange); - exampleNo++; - } -} - -}; // namespace generated_tests - -using namespace nnfw::rt::wrapper; - -// Mixed-typed examples -typedef generated_tests::MixedTypedExampleType MixedTypedExample; - -class GeneratedTests : public ::testing::Test { - protected: - virtual void SetUp() {} -}; diff --git a/tests/nnapi/src/TestMain.cpp b/tests/nnapi/src/TestMain.cpp index d6af376..317f2f3 100644 --- a/tests/nnapi/src/TestMain.cpp +++ b/tests/nnapi/src/TestMain.cpp @@ -134,7 +134,8 @@ int main(int argc, char** argv) { // The burst path is off by default in these tests. This is the first case // where it is turned on. Both "useCpuOnly" and "allowSyncExecHal" are // irrelevant here because the burst path is separate from both. - n |= test(/*useCpuOnly=*/false, Execution::ComputeMode::BURST); + // Fix for neurun: disable burst mode + //n |= test(/*useCpuOnly=*/false, Execution::ComputeMode::BURST); return n; } -- 2.7.4