diff options
Diffstat (limited to 'nn/runtime/test/generated')
3 files changed, 71 insertions, 0 deletions
diff --git a/nn/runtime/test/generated/examples/fully_connected_float_3.example.cpp b/nn/runtime/test/generated/examples/fully_connected_float_3.example.cpp new file mode 100644 index 000000000..14ee46d5f --- /dev/null +++ b/nn/runtime/test/generated/examples/fully_connected_float_3.example.cpp @@ -0,0 +1,22 @@ +// Generated file (from: fully_connected_float_3.mod.py). Do not edit +// Begin of an example +{ +//Input(s) +{ // See tools/test_generator/include/TestHarness.h:MixedTyped + // int -> FLOAT32 map + {{0, {1, 2, 2, 1}}}, + // int -> INT32 map + {}, + // int -> QUANT8_ASYMM map + {} +}, +//Output(s) +{ // See tools/test_generator/include/TestHarness.h:MixedTyped + // int -> FLOAT32 map + {{0, {11, 9}}}, + // int -> INT32 map + {}, + // int -> QUANT8_ASYMM map + {} +} +}, // End of an example diff --git a/nn/runtime/test/generated/models/fully_connected_float_3.model.cpp b/nn/runtime/test/generated/models/fully_connected_float_3.model.cpp new file mode 100644 index 000000000..15275251f --- /dev/null +++ b/nn/runtime/test/generated/models/fully_connected_float_3.model.cpp @@ -0,0 +1,32 @@ +// Generated file (from: fully_connected_float_3.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type4(Type::INT32, {}); + OperandType type1(Type::TENSOR_FLOAT32, {1, 2}); + OperandType type2(Type::TENSOR_FLOAT32, {1}); + OperandType type3(Type::TENSOR_FLOAT32, {2, 1}); + OperandType type0(Type::TENSOR_FLOAT32, {2, 2}); + // Phase 1, operands + auto op1 = model->addOperand(&type0); + auto op2 = model->addOperand(&type1); + auto b0 = model->addOperand(&type2); + auto op3 = model->addOperand(&type3); + auto act = model->addOperand(&type4); + // Phase 2, operations + static float op2_init[] = {2.0f, 4.0f}; + model->setOperandValue(op2, op2_init, sizeof(float) * 2); + static float b0_init[] = {1.0f}; + model->setOperandValue(b0, b0_init, sizeof(float) * 1); + static int32_t act_init[] = {0}; + model->setOperandValue(act, act_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, 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(); +} diff --git a/nn/runtime/test/generated/tests/fully_connected_float_3.mod.py.cpp b/nn/runtime/test/generated/tests/fully_connected_float_3.mod.py.cpp new file mode 100644 index 000000000..eef737ef1 --- /dev/null +++ b/nn/runtime/test/generated/tests/fully_connected_float_3.mod.py.cpp @@ -0,0 +1,17 @@ +// DO NOT EDIT; +// Generated by ml/nn/runtime/test/specs/generate_test.sh +#include "../../TestGenerated.h" + +namespace fully_connected_float_3 { +std::vector<MixedTypedExample> examples = { +// Generated fully_connected_float_3 test +#include "generated/examples/fully_connected_float_3.example.cpp" +}; +// Generated model constructor +#include "generated/models/fully_connected_float_3.model.cpp" +} // namespace fully_connected_float_3 +TEST_F(GeneratedTests, fully_connected_float_3) { + execute(fully_connected_float_3::CreateModel, + fully_connected_float_3::is_ignored, + fully_connected_float_3::examples); +} |