| 17 | { |
| 18 | |
| 19 | TfLiteStatus VisitPooling2dOperator(DelegateData& delegateData, |
| 20 | TfLiteContext* tfLiteContext, |
| 21 | TfLiteNode* tfLiteNode, |
| 22 | int nodeIndex, |
| 23 | int32_t tfLitePoolingOperatorCode) |
| 24 | { |
| 25 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 26 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| 27 | |
| 28 | const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| 29 | const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| 30 | if (IsDynamicTensor(tfLiteInputTensor)) |
| 31 | { |
| 32 | TF_LITE_MAYBE_KERNEL_LOG( |
| 33 | tfLiteContext, |
| 34 | "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ", |
| 35 | tfLitePoolingOperatorCode, nodeIndex); |
| 36 | return kTfLiteError; |
| 37 | } |
| 38 | |
| 39 | const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| 40 | if (IsDynamicTensor(tfLiteOutputTensor)) |
| 41 | { |
| 42 | TF_LITE_MAYBE_KERNEL_LOG( |
| 43 | tfLiteContext, |
| 44 | "TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ", |
| 45 | tfLitePoolingOperatorCode, nodeIndex); |
| 46 | return kTfLiteError; |
| 47 | } |
| 48 | |
| 49 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| 50 | const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); |
| 51 | |
| 52 | auto* tfLiteNodeParameters = reinterpret_cast<TfLitePoolParams*>(tfLiteNode->builtin_data); |
| 53 | TfLiteFusedActivation activationType = kTfLiteActNone; |
| 54 | if (tfLiteNodeParameters) |
| 55 | { |
| 56 | activationType = tfLiteNodeParameters->activation; |
| 57 | TfLiteStatus activationStatus = ValidateFusedActivationOperator(delegateData, tfLiteContext, outputTensorInfo, |
| 58 | outputTensorInfo, activationType); |
| 59 | if(activationStatus != kTfLiteOk) |
| 60 | { |
| 61 | return kTfLiteError; |
| 62 | } |
| 63 | |
| 64 | } |
| 65 | |
| 66 | armnn::PoolingAlgorithm poolingAlgorithm; |
| 67 | switch(tfLitePoolingOperatorCode) |
| 68 | { |
| 69 | case kTfLiteBuiltinAveragePool2d: |
| 70 | poolingAlgorithm = armnn::PoolingAlgorithm::Average; |
| 71 | break; |
| 72 | case kTfLiteBuiltinL2Pool2d: |
| 73 | poolingAlgorithm = armnn::PoolingAlgorithm::L2; |
| 74 | break; |
| 75 | case kTfLiteBuiltinMaxPool2d: |
| 76 | poolingAlgorithm = armnn::PoolingAlgorithm::Max; |
no test coverage detected