diff options
author | James Ward <james.ward@arm.com> | 2020-11-09 11:57:47 +0000 |
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committer | Jim Flynn <jim.flynn@arm.com> | 2020-11-16 11:31:54 +0000 |
commit | f89964ec2f5e66a0c87ca4cc1535f616a7c38afa (patch) | |
tree | e1bde82326fccebcb5765de706f0524c1bf4be01 /delegate/src/Transpose.hpp | |
parent | 32ca144fc8b4f0a1e2eda274da55ffd0a6016c02 (diff) | |
download | armnn-f89964ec2f5e66a0c87ca4cc1535f616a7c38afa.tar.gz |
IVGCVSW-5385 TfLiteDelegate: Implement the Transpose operator
Signed-off-by: James Ward <james.ward@arm.com>
Change-Id: Iea3d7ecccb82d85ec2d2c5cfdcdaf692236a60aa
Diffstat (limited to 'delegate/src/Transpose.hpp')
-rw-r--r-- | delegate/src/Transpose.hpp | 81 |
1 files changed, 78 insertions, 3 deletions
diff --git a/delegate/src/Transpose.hpp b/delegate/src/Transpose.hpp index 2d5823da84..c44c0d2773 100644 --- a/delegate/src/Transpose.hpp +++ b/delegate/src/Transpose.hpp @@ -9,6 +9,7 @@ #include <tensorflow/lite/c/builtin_op_data.h> #include <tensorflow/lite/c/common.h> #include <tensorflow/lite/minimal_logging.h> +#include <tensorflow/lite/kernels/internal/tensor_ctypes.h> namespace armnnDelegate { @@ -17,9 +18,83 @@ TfLiteStatus VisitTransposeOperator(DelegateData& delegateData, TfLiteContext* tfLiteContext, TfLiteNode* tfLiteNode, int nodeIndex, - int32_t operatorCode) + int32_t tfliteTransposeOperatorCode) { - return kTfLiteError; -} + TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + + const TfLiteTensor *tfLiteTensors = tfLiteContext->tensors; + const TfLiteTensor& tfLiteInputTensor0 = tfLiteTensors[tfLiteNode->inputs->data[0]]; + if (IsDynamicTensor(tfLiteInputTensor0)) + { + TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext, + "TfLiteArmnnDelegate: Dynamic input tensors are not supported in " + "operator #%d node #%d: ", + tfliteTransposeOperatorCode, nodeIndex); + return kTfLiteError; + } + + const TfLiteTensor& tfLiteInputTensor1 = tfLiteTensors[tfLiteNode->inputs->data[1]]; + if (IsDynamicTensor(tfLiteInputTensor1)) + { + TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext, + "TfLiteArmnnDelegate: Dynamic input tensors are not supported in " + "operator #%d node #%d: ", + tfliteTransposeOperatorCode, nodeIndex); + return kTfLiteError; + } + + const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; + if (IsDynamicTensor(tfLiteOutputTensor)) + { + TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext, + "TfLiteArmnnDelegate: Dynamic output tensors are not supported in " + "operator #%d node #%d: ", + tfliteTransposeOperatorCode, nodeIndex); + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor0); + const armnn::TensorInfo& inputTensorInfo1 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor1); //permutation tensor + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); + + auto* permTensorDataPtr = tflite::GetTensorData<int32_t>(&tfLiteInputTensor1); + auto numEl = tfLiteInputTensor1.dims->data[0]; + + ARMNN_ASSERT( numEl <= armnn::MaxNumOfTensorDimensions); + ARMNN_ASSERT( tfLiteInputTensor1.dims->size == 1); // ensure only single dimension to the permutation tensor + armnn::TransposeDescriptor descriptor(armnn::PermutationVector( + reinterpret_cast<const armnn::PermutationVector::ValueType *> (permTensorDataPtr), + (armnn::PermutationVector::SizeType)(numEl))); + + bool isSupported = false; + + auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) + { + FORWARD_LAYER_SUPPORT_FUNC(__func__, + tfLiteContext, + IsTransposeSupported, + delegateData.m_Backends, + isSupported, + inputTensorInfo0, + outputTensorInfo, + descriptor); + }; + + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor); + ARMNN_ASSERT(transposeLayer != nullptr); + ARMNN_ASSERT(transposeLayer->GetNumInputSlots() == 1); // permutation vector given to descriptor object + + armnn::IOutputSlot& outputSlot = transposeLayer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); + + return Connect(transposeLayer, tfLiteNode, delegateData); +} } // namespace armnnDelegate |