| 11 | { |
| 12 | |
| 13 | void FullyConnectedFp32Test(const std::vector<armnn::BackendId>& backends = {}, bool constantWeights = true) |
| 14 | { |
| 15 | std::vector<int32_t> inputTensorShape { 1, 4, 1, 1 }; |
| 16 | std::vector<int32_t> weightsTensorShape { 1, 4 }; |
| 17 | std::vector<int32_t> biasTensorShape { 1 }; |
| 18 | std::vector<int32_t> outputTensorShape { 1, 1 }; |
| 19 | |
| 20 | std::vector<float> inputValues = { 10, 20, 30, 40 }; |
| 21 | std::vector<float> weightsData = { 2, 3, 4, 5 }; |
| 22 | |
| 23 | std::vector<float> expectedOutputValues = { (400 + 10) }; |
| 24 | |
| 25 | // bias is set std::vector<float> biasData = { 10 } in the model |
| 26 | FullyConnectedTest<float>(::tflite::TensorType_FLOAT32, |
| 27 | tflite::ActivationFunctionType_NONE, |
| 28 | inputTensorShape, |
| 29 | weightsTensorShape, |
| 30 | biasTensorShape, |
| 31 | outputTensorShape, |
| 32 | inputValues, |
| 33 | expectedOutputValues, |
| 34 | weightsData, |
| 35 | backends, |
| 36 | constantWeights); |
| 37 | } |
| 38 | |
| 39 | void FullyConnectedActivationTest(const std::vector<armnn::BackendId>& backends = {}, bool constantWeights = true) |
| 40 | { |
no outgoing calls
no test coverage detected