| 14 | #if defined(ARMNN_POST_TFLITE_2_5) |
| 15 | |
| 16 | void MaxPool3dFP32PaddingValidTest(const std::vector<armnn::BackendId>& backends = {}) |
| 17 | { |
| 18 | // Set input and expected output data |
| 19 | std::vector<int32_t> inputShape = { 1, 2, 3, 4, 1 }; |
| 20 | std::vector<int32_t> outputShape = { 1, 1, 2, 3, 1 }; |
| 21 | |
| 22 | std::vector<float> inputValues = { 1, 2, 3, 4, 5, 6, |
| 23 | 1, 2, 3, 4, 5, 6, |
| 24 | 1, 2, 3, 4, 5, 6, |
| 25 | 1, 2, 3, 4, 5, 6 }; |
| 26 | std::vector<float> expectedOutputValues = { 6, 6, 4 }; |
| 27 | |
| 28 | // poolType string required to create the correct pooling operator |
| 29 | // Padding type required to create the padding in custom options |
| 30 | std::string poolType = "kMax"; |
| 31 | TfLitePadding padding = kTfLitePaddingValid; |
| 32 | |
| 33 | Pooling3dTest<float>(poolType, |
| 34 | ::tflite::TensorType_FLOAT32, |
| 35 | inputShape, |
| 36 | outputShape, |
| 37 | inputValues, |
| 38 | expectedOutputValues, |
| 39 | backends, |
| 40 | padding, |
| 41 | 1, |
| 42 | 1, |
| 43 | 1, |
| 44 | 2, |
| 45 | 2, |
| 46 | 2); |
| 47 | } |
| 48 | |
| 49 | void MaxPool3dFP32PaddingSameTest(const std::vector<armnn::BackendId>& backends = {}) |
| 50 | { |