diff options
Diffstat (limited to 'delegate/src/BatchSpace.hpp')
-rw-r--r-- | delegate/src/BatchSpace.hpp | 180 |
1 files changed, 166 insertions, 14 deletions
diff --git a/delegate/src/BatchSpace.hpp b/delegate/src/BatchSpace.hpp index 5a8a5dcd5b..318806feef 100644 --- a/delegate/src/BatchSpace.hpp +++ b/delegate/src/BatchSpace.hpp @@ -5,8 +5,6 @@ #pragma once -#include <armnn/utility/IgnoreUnused.hpp> - #include <tensorflow/lite/builtin_ops.h> #include <tensorflow/lite/c/builtin_op_data.h> #include <tensorflow/lite/c/common.h> @@ -21,12 +19,89 @@ TfLiteStatus VisitBatchToSpaceNdOperator(DelegateData& delegateData, int nodeIndex, int32_t operatorCode) { - armnn::IgnoreUnused(delegateData, - tfLiteContext, - tfLiteNode, - nodeIndex, - operatorCode); - return kTfLiteError; + TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 3, nodeIndex)); + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + + const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; + const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLiteBlockShapeTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; + if (!IsValid(tfLiteContext, tfLiteBlockShapeTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLiteCropsTensor = tfLiteTensors[tfLiteNode->inputs->data[2]]; + if (!IsValid(tfLiteContext, tfLiteCropsTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); + const armnn::TensorInfo& blockShapeTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteBlockShapeTensor); + const armnn::TensorInfo& cropsTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteCropsTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); + + std::vector<unsigned int> blockShape(blockShapeTensorInfo.GetNumElements()); + ::memcpy(blockShape.data(), tfLiteBlockShapeTensor.data.data, blockShapeTensorInfo.GetNumBytes()); + + std::vector<unsigned int> cropsVector(cropsTensorInfo.GetNumElements()); + std::memcpy(cropsVector.data(), tfLiteCropsTensor.data.data, cropsTensorInfo.GetNumBytes()); + + size_t step = 2; + std::vector<std::pair<unsigned int, unsigned int>> crops; + for (unsigned int i = 0; i < cropsTensorInfo.GetNumElements() / step; ++i) + { + crops.emplace_back(cropsVector[i * step], cropsVector[i * step + 1]); + } + + armnn::BatchToSpaceNdDescriptor descriptor; + descriptor.m_BlockShape = blockShape; + descriptor.m_Crops = crops; + descriptor.m_DataLayout = armnn::DataLayout::NHWC; + + // Check if supported + bool isSupported = false; + auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) + { + FORWARD_LAYER_SUPPORT_FUNC(__func__, + tfLiteContext, + IsBatchToSpaceNdSupported, + delegateData.m_Backends, + isSupported, + inputTensorInfo, + outputTensorInfo, + descriptor); + }; + + // If the m_Network is a nullptr, this signals that a prerequisite TfLite callback is required to clarify the + // support for the operator + // If supported, VisitBatchToSpaceNdOperator will be called again to add the layer to the network as seen below + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + // Add a BatchToSpace layer + armnn::IConnectableLayer* layer = delegateData.m_Network->AddBatchToSpaceNdLayer(descriptor); + ARMNN_ASSERT(layer != nullptr); + + armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); + + // Connect + return Connect(layer, tfLiteNode, delegateData); } TfLiteStatus VisitSpaceToBatchNdOperator(DelegateData& delegateData, @@ -35,12 +110,89 @@ TfLiteStatus VisitSpaceToBatchNdOperator(DelegateData& delegateData, int nodeIndex, int32_t operatorCode) { - armnn::IgnoreUnused(delegateData, - tfLiteContext, - tfLiteNode, - nodeIndex, - operatorCode); - return kTfLiteError; + TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 3, nodeIndex)); + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + + const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; + const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLiteBlockShapeTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; + if (!IsValid(tfLiteContext, tfLiteBlockShapeTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLitePadListTensor = tfLiteTensors[tfLiteNode->inputs->data[2]]; + if (!IsValid(tfLiteContext, tfLitePadListTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; + if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); + const armnn::TensorInfo& blockShapeTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteBlockShapeTensor); + const armnn::TensorInfo& padListTensorInfo = GetTensorInfoForTfLiteTensor(tfLitePadListTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); + + std::vector<unsigned int> blockShape(blockShapeTensorInfo.GetNumElements()); + std::memcpy(blockShape.data(), tfLiteBlockShapeTensor.data.data, blockShapeTensorInfo.GetNumBytes()); + + std::vector<unsigned int> padListVector(padListTensorInfo.GetNumElements()); + std::memcpy(padListVector.data(), tfLitePadListTensor.data.data, padListTensorInfo.GetNumBytes()); + + size_t step = 2; + std::vector<std::pair<unsigned int, unsigned int>> padList; + for (unsigned int i = 0; i < padListTensorInfo.GetNumElements() / step; ++i) + { + padList.emplace_back(padListVector[i * step], padListVector[i * step + 1]); + } + + armnn::SpaceToBatchNdDescriptor descriptor; + descriptor.m_BlockShape = blockShape; + descriptor.m_PadList = padList; + descriptor.m_DataLayout = armnn::DataLayout::NHWC; + + // Check if supported + bool isSupported = false; + auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) + { + FORWARD_LAYER_SUPPORT_FUNC(__func__, + tfLiteContext, + IsSpaceToBatchNdSupported, + delegateData.m_Backends, + isSupported, + inputTensorInfo, + outputTensorInfo, + descriptor); + }; + + // If the m_Network is a nullptr, this signals that a prerequisite TfLite callback is required to clarify the + // support for the operator + // If supported, VisitSpaceToBatchNdOperator will be called again to add the layer to the network as seen below + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + // Add a SpaceToBatch layer + armnn::IConnectableLayer* layer = delegateData.m_Network->AddSpaceToBatchNdLayer(descriptor); + ARMNN_ASSERT(layer != nullptr); + + armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); + + // Connect + return Connect(layer, tfLiteNode, delegateData); } } // namespace armnnDelegate |