diff options
Diffstat (limited to 'tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect')
-rw-r--r-- | tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect b/tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect new file mode 100644 index 000000000..47d92b6b8 --- /dev/null +++ b/tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect @@ -0,0 +1,41 @@ +// Generated file (from: conv_1_h3_w2_SAME.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type0(Type::INT32, {}); + OperandType type3(Type::TENSOR_FLOAT32, {1, 3, 2, 3}); + OperandType type2(Type::TENSOR_FLOAT32, {1, 8, 8, 1}); + OperandType type1(Type::TENSOR_FLOAT32, {1, 8, 8, 3}); + OperandType type4(Type::TENSOR_FLOAT32, {1}); + // Phase 1, operands + auto b4 = model->addOperand(&type0); + auto b5 = model->addOperand(&type0); + auto b6 = model->addOperand(&type0); + auto b7 = model->addOperand(&type0); + auto op2 = model->addOperand(&type1); + auto op3 = model->addOperand(&type2); + auto op0 = model->addOperand(&type3); + auto op1 = model->addOperand(&type4); + // Phase 2, operations + static int32_t b4_init[] = {1}; + model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1); + static int32_t b5_init[] = {1}; + model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1); + static int32_t b6_init[] = {1}; + model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1); + static int32_t b7_init[] = {0}; + model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1); + static float op0_init[] = {-0.966213f, -0.467474f, -0.82203f, -0.579455f, 0.0278809f, -0.79946f, -0.684259f, 0.563238f, 0.37289f, 0.738216f, 0.386045f, -0.917775f, 0.184325f, -0.270568f, 0.82236f, 0.0973683f, -0.941308f, -0.144706f}; + model->setOperandValue(op0, op0_init, sizeof(float) * 18); + static float op1_init[] = {0.0f}; + model->setOperandValue(op1, op1_init, sizeof(float) * 1); + model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {op2}, + {op3}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |