| 63 | } |
| 64 | |
| 65 | void FullyConnectedInt8Test(const std::vector<armnn::BackendId>& backends = {}, bool constantWeights = true) |
| 66 | { |
| 67 | std::vector<int32_t> inputTensorShape { 1, 4, 2, 1 }; |
| 68 | std::vector<int32_t> weightsTensorShape { 1, 4 }; |
| 69 | std::vector<int32_t> biasTensorShape { 1 }; |
| 70 | std::vector<int32_t> outputTensorShape { 2, 1 }; |
| 71 | |
| 72 | std::vector<int8_t> inputValues = { 1, 2, 3, 4, 5, 10, 15, 20 }; |
| 73 | std::vector<int8_t> weightsData = { 2, 3, 4, 5 }; |
| 74 | |
| 75 | std::vector<int8_t> expectedOutputValues = { 25, 105 }; // (40 + 10) / 2, (200 + 10) / 2 |
| 76 | |
| 77 | // bias is set std::vector<int32_t> biasData = { 10 } in the model |
| 78 | // input and weights quantization scale 1.0f and offset 0 in the model |
| 79 | // output quantization scale 2.0f and offset 0 in the model |
| 80 | FullyConnectedTest<int8_t>(::tflite::TensorType_INT8, |
| 81 | tflite::ActivationFunctionType_NONE, |
| 82 | inputTensorShape, |
| 83 | weightsTensorShape, |
| 84 | biasTensorShape, |
| 85 | outputTensorShape, |
| 86 | inputValues, |
| 87 | expectedOutputValues, |
| 88 | weightsData, |
| 89 | backends, |
| 90 | constantWeights); |
| 91 | } |
| 92 | |
| 93 | TEST_SUITE("FullyConnectedTests") |
| 94 | { |
no outgoing calls
no test coverage detected