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Diffstat (limited to 'tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_backward_compatibility_float/stdout.txt.expect')
-rw-r--r-- | tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_backward_compatibility_float/stdout.txt.expect | 322 |
1 files changed, 322 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_backward_compatibility_float/stdout.txt.expect b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_backward_compatibility_float/stdout.txt.expect new file mode 100644 index 000000000..4ac72618c --- /dev/null +++ b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_vts_backward_compatibility_float/stdout.txt.expect @@ -0,0 +1,322 @@ +// clang-format off +// Generated file (from: lstm_float.mod.py). Do not edit +// clang-format off +// Generated file (from: lstm_float.mod.py). Do not edit +// Generated from: lstm_float.mod.py. +namespace lstm_float { +// Generated lstm_float test +#include "-" +// Generated model constructor +#include "-" +} // namespace lstm_float + +// Create the model +Model createTestModel() { + const std::vector<Operand> operands = { + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {1, 2}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 2}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 2}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 2}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 2}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4, 4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {0}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {0}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {0}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {0, 0}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {0}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {1, 4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {1, 4}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_INPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::INT32, + .dimensions = {}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::CONSTANT_COPY, + .location = {.poolIndex = 0, .offset = 0, .length = 4}, + }, + { + .type = OperandType::FLOAT32, + .dimensions = {}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::CONSTANT_COPY, + .location = {.poolIndex = 0, .offset = 4, .length = 4}, + }, + { + .type = OperandType::FLOAT32, + .dimensions = {}, + .numberOfConsumers = 1, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::CONSTANT_COPY, + .location = {.poolIndex = 0, .offset = 8, .length = 4}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {1, 16}, + .numberOfConsumers = 0, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_OUTPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {1, 4}, + .numberOfConsumers = 0, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_OUTPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {1, 4}, + .numberOfConsumers = 0, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_OUTPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + }, + { + .type = OperandType::TENSOR_FLOAT32, + .dimensions = {1, 4}, + .numberOfConsumers = 0, + .scale = 0.0f, + .zeroPoint = 0, + .lifetime = OperandLifeTime::MODEL_OUTPUT, + .location = {.poolIndex = 0, .offset = 0, .length = 0}, + } + }; + + const std::vector<Operation> operations = { + { + .type = OperationType::LSTM, + .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22}, + .outputs = {23, 24, 25, 26}, + } + }; + + const std::vector<uint32_t> inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19}; + const std::vector<uint32_t> outputIndexes = {23, 24, 25, 26}; + std::vector<uint8_t> operandValues = { + 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 + }; + const std::vector<hidl_memory> pools = {}; + + return { + .operands = operands, + .operations = operations, + .inputIndexes = inputIndexes, + .outputIndexes = outputIndexes, + .operandValues = operandValues, + .pools = pools, + .relaxComputationFloat32toFloat16 = true, + }; +} + +bool is_ignored(int i) { + static std::set<int> ignore = {0}; + return ignore.find(i) != ignore.end(); +} + +std::vector<MixedTypedExample> examples = { +// Begin of an example +{ +//Input(s) +{ // See tools/test_generator/include/TestHarness.h:MixedTyped + // int -> FLOAT32 map + {{0, {2.0f, 3.0f}}, {1, {-0.45018822f, -0.02338299f, -0.0870589f, -0.34550029f, 0.04266912f, -0.15680569f, -0.34856534f, 0.43890524f}}, {2, {0.09701663f, 0.20334584f, -0.50592935f, -0.31343272f, -0.40032279f, 0.44781327f, 0.01387155f, -0.35593212f}}, {3, {-0.50013041f, 0.1370284f, 0.11810488f, 0.2013163f, -0.20583314f, 0.44344562f, 0.22077113f, -0.29909778f}}, {4, {-0.25065863f, -0.28290087f, 0.04613829f, 0.40525138f, 0.44272184f, 0.03897077f, -0.1556896f, 0.19487578f}}, {5, {-0.0063535f, -0.2042388f, 0.31454784f, -0.35746509f, 0.28902304f, 0.08183324f, -0.16555229f, 0.02286911f, -0.13566875f, 0.03034258f, 0.48091322f, -0.12528998f, 0.24077177f, -0.51332325f, -0.33502164f, 0.10629296f}}, {6, {-0.48684245f, -0.06655136f, 0.42224967f, 0.2112639f, 0.27654213f, 0.20864892f, -0.07646349f, 0.45877004f, 0.00141793f, -0.14609534f, 0.36447752f, 0.09196436f, 0.28053468f, 0.01560611f, -0.20127171f, -0.01140004f}}, {7, {-0.3407414f, 0.24443203f, -0.2078532f, 0.26320225f, 0.05695659f, -0.00123841f, -0.4744786f, -0.35869038f, -0.06418842f, -0.13502428f, -0.501764f, 0.22830659f, -0.46367589f, 0.26016325f, -0.03894562f, -0.16368064f}}, {8, {0.43385774f, -0.17194885f, 0.2718237f, 0.09215671f, 0.24107647f, -0.39835793f, 0.18212086f, 0.01301402f, 0.48572797f, -0.50656658f, 0.20047462f, -0.20607421f, -0.51818722f, -0.15390486f, 0.0468148f, 0.39922136f}}, {9, {}}, {10, {}}, {11, {}}, {12, {0.0f, 0.0f, 0.0f, 0.0f}}, {13, {1.0f, 1.0f, 1.0f, 1.0f}}, {14, {0.0f, 0.0f, 0.0f, 0.0f}}, {15, {0.0f, 0.0f, 0.0f, 0.0f}}, {16, {}}, {17, {}}, {18, {0.0f, 0.0f, 0.0f, 0.0f}}, {19, {0.0f, 0.0f, 0.0f, 0.0f}}}, + // int -> INT32 map + {}, + // int -> QUANT8_ASYMM map + {} +}, +//Output(s) +{ // See tools/test_generator/include/TestHarness.h:MixedTyped + // int -> FLOAT32 map + {{0, {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}}, {1, {-0.0297319f, 0.122947f, 0.208851f, -0.153588f}}, {2, {-0.145439f, 0.157475f, 0.293663f, -0.277353f}}, {3, {-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f}}}, + // int -> INT32 map + {}, + // int -> QUANT8_ASYMM map + {} +} +}, // End of an example +}; + +TEST_F(NeuralnetworksHidlTest, lstm_float) { + generated_tests::Execute(device, + lstm_float::createTestModel, + lstm_float::is_ignored, + lstm_float::examples); +} + |