IVGCVSW-7611 IVGCVSW-7614 IVGCVSW-7615 IVGCVSW-7617 Softmax, SpaceToDepth, DepthToSpace and Tranpose for opaque delegate
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ie0c608f94a76956e9be75f555824cef865cab395
diff --git a/delegate/opaque/src/Transpose.hpp b/delegate/opaque/src/Transpose.hpp
index e169697..2627c42 100644
--- a/delegate/opaque/src/Transpose.hpp
+++ b/delegate/opaque/src/Transpose.hpp
@@ -2,3 +2,113 @@
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
+
+#pragma once
+
+#include <OpaqueDelegateUtils.hpp>
+
+namespace armnnOpaqueDelegate
+{
+
+TfLiteStatus VisitTransposeOperator(DelegateData& delegateData,
+ TfLiteOpaqueContext* tfLiteContext,
+ TfLiteOpaqueNode* tfLiteNode,
+ int nodeIndex,
+ int32_t tfliteTransposeOperatorCode)
+{
+ TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+ TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+ // Gather input indices and use to get input tensor.
+ const int* inputTensors;
+ int numInputs;
+ if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk)
+ {
+ TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+ tfLiteContext,
+ "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ",
+ nodeIndex);
+ return kTfLiteError;
+ }
+ const TfLiteOpaqueTensor* tfLiteInputTensor0 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]);
+ if (!IsValid(tfLiteContext, tfLiteInputTensor0, tfliteTransposeOperatorCode, nodeIndex))
+ {
+ return kTfLiteError;
+ }
+ const TfLiteOpaqueTensor* tfLiteInputTensor1 = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);
+ if (!IsValid(tfLiteContext, tfLiteInputTensor1, tfliteTransposeOperatorCode, nodeIndex))
+ {
+ return kTfLiteError;
+ }
+
+ // Gather output indices and use to get output tensors.
+ const int* outputTensors;
+ int numOutputs;
+ if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk)
+ {
+ TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+ tfLiteContext,
+ "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ",
+ nodeIndex);
+ return kTfLiteError;
+ }
+
+ const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]);
+ if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfliteTransposeOperatorCode, nodeIndex))
+ {
+ return kTfLiteError;
+ }
+
+ const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor0);
+ const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
+
+ auto* permTensorDataPtr = static_cast<int32_t*>(TfLiteOpaqueTensorData(tfLiteInputTensor1));
+ unsigned int numEl = TfLiteOpaqueTensorDim(tfLiteInputTensor1, 0);
+
+ ARMNN_ASSERT( numEl <= static_cast<int>(armnn::MaxNumOfTensorDimensions) );
+ // Ensure only single dimension to the permutation tensor
+ ARMNN_ASSERT( TfLiteOpaqueTensorNumDims(tfLiteInputTensor1) == 1 );
+
+ armnn::TransposeDescriptor descriptor(armnn::PermutationVector(
+ reinterpret_cast<const armnn::PermutationVector::ValueType *> (permTensorDataPtr),
+ static_cast<armnn::PermutationVector::SizeType>(numEl)));
+
+ bool isSupported = false;
+ armnn::BackendId setBackend;
+ auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
+ {
+ FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("TRANSPOSE",
+ tfLiteContext,
+ IsTransposeSupported,
+ delegateData.m_Backends,
+ isSupported,
+ setBackend,
+ inputTensorInfo0,
+ outputTensorInfo,
+ descriptor);
+ };
+
+ if (!delegateData.m_Network)
+ {
+ validateFunc(outputTensorInfo, isSupported);
+ return isSupported ? kTfLiteOk : kTfLiteError;
+ }
+
+ armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor);
+ transposeLayer->SetBackendId(setBackend);
+ ARMNN_ASSERT(transposeLayer != nullptr);
+ // Permutation vector given to descriptor object
+ ARMNN_ASSERT(transposeLayer->GetNumInputSlots() == 1);
+
+ armnn::IOutputSlot& outputSlot = transposeLayer->GetOutputSlot(0);
+ outputSlot.SetTensorInfo(outputTensorInfo);
+
+ // try to connect the Constant Inputs if there are any
+ if(ProcessInputs(transposeLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
+ {
+ return kTfLiteError;
+ }
+
+ return Connect(transposeLayer, tfLiteContext, tfLiteNode, delegateData);
+}
+} // namespace armnnOpaqueDelegate