diff options
Diffstat (limited to 'tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_float/stdout.txt.expect')
-rw-r--r-- | tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_float/stdout.txt.expect | 85 |
1 files changed, 85 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_float/stdout.txt.expect b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_float/stdout.txt.expect new file mode 100644 index 000000000..cb6c58a3c --- /dev/null +++ b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_float/stdout.txt.expect @@ -0,0 +1,85 @@ +// clang-format off +// Generated file (from: conv_float.mod.py). Do not edit +// clang-format off +// Generated file (from: conv_float.mod.py). Do not edit +// clang-format off +// Generated file (from: conv_float.mod.py). Do not edit +#include "../../TestGenerated.h" + +namespace conv_float { +// Generated conv_float test +#include "-" +// Generated model constructor +#include "-" +} // namespace conv_float + +void CreateModel(Model *model) { + OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 1}); + OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); + OperandType type2(Type::TENSOR_FLOAT32, {1}); + OperandType type3(Type::INT32, {}); + // Phase 1, operands + auto op1 = model->addOperand(&type0); + auto op2 = model->addOperand(&type1); + auto op3 = model->addOperand(&type2); + auto pad0 = model->addOperand(&type3); + auto stride = model->addOperand(&type3); + auto act = model->addOperand(&type3); + auto op4 = model->addOperand(&type1); + // Phase 2, operations + static float op2_init[] = {0.25f, 0.25f, 0.25f, 0.25f}; + model->setOperandValue(op2, op2_init, sizeof(float) * 4); + static float op3_init[] = {0.0f}; + model->setOperandValue(op3, op3_init, sizeof(float) * 1); + static int32_t pad0_init[] = {0}; + model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); + static int32_t stride_init[] = {1}; + model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); + static int32_t act_init[] = {0}; + model->setOperandValue(act, act_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {op1}, + {op4}); + // Phase 4: set relaxed execution + model->relaxComputationFloat32toFloat16(true); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + 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, {1.0f, 1.0f, 1.0f, 1.0f, 0.5f, 1.0f, 1.0f, 1.0f, 1.0f}}}, + // int -> INT32 map + {}, + // int -> QUANT8_ASYMM map + {} +}, +//Output(s) +{ // See tools/test_generator/include/TestHarness.h:MixedTyped + // int -> FLOAT32 map + {{0, {0.875f, 0.875f, 0.875f, 0.875f}}}, + // int -> INT32 map + {}, + // int -> QUANT8_ASYMM map + {} +} +}, // End of an example +}; + +TEST_F(GeneratedTests, conv_float) { + execute(conv_float::CreateModel, + conv_float::is_ignored, + conv_float::examples); +} + +#include "../generated/tests/conv_float.mod.py.cpp" |