IVGCVSW-8037 Add BROADCAST_TO to tflite classic and opaque delegate.

Signed-off-by: Idriss Chaouch <idriss.chaouch@arm.com>
Change-Id: Ibc145d0ea1ac9414b6a68b5b547bf2ea2852fd36

3 files changed, 130 insertions, 0 deletions

diff --git a/delegate/classic/CMakeLists.txt b/delegate/classic/CMakeLists.txt
index 7807153359..dfd0cf985d 100644
--- a/delegate/classic/CMakeLists.txt
+++ b/delegate/classic/CMakeLists.txt
@@ -13,6 +13,7 @@ list(APPEND armnnClassicDelegateObject_sources
         src/ArgMinMax.hpp
         src/BatchMatMul.hpp
         src/BatchSpace.hpp
+        src/BroadcastTo.hpp
         src/ClassicDelegateUtils.hpp
         src/Comparison.hpp
         src/Convolution.hpp
diff --git a/delegate/classic/src/BroadcastTo.hpp b/delegate/classic/src/BroadcastTo.hpp
new file mode 100644
index 0000000000..92aed79982
--- /dev/null
+++ b/delegate/classic/src/BroadcastTo.hpp
@@ -0,0 +1,122 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#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>
+#include <tensorflow/lite/minimal_logging.h>
+#include <tensorflow/lite/kernels/internal/tensor_ctypes.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+#include <armnn_delegate.hpp>
+
+namespace armnnDelegate
+{
+    TfLiteStatus ValidateBroadcastToOperator(DelegateData& delegateData,
+                                             TfLiteContext* tfLiteContext,
+                                             const armnn::TensorInfo& inputInfo,
+                                             const armnn::TensorInfo& outputInfo,
+                                             const armnn::BroadcastToDescriptor& descriptor)
+    {
+        bool isSupported = false;
+        FORWARD_LAYER_SUPPORT_FUNC("BROADCAST_TO",
+                                   tfLiteContext,
+                                   IsBroadcastToSupported,
+                                   delegateData.m_Backends,
+                                   isSupported,
+                                   armnn::BackendId(),
+                                   inputInfo,
+                                   outputInfo,
+                                   descriptor);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    TfLiteStatus VisitBroadcastToOperator(DelegateData& delegateData,
+                                          TfLiteContext* tfLiteContext,
+                                          TfLiteNode* tfLiteNode,
+                                          int nodeIndex,
+                                          int32_t broadcastToOperatorCode)
+    {
+        TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+        TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+        const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
+
+        // The input contains the data that should be broadcasted
+        const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
+        if (IsDynamicTensor(tfLiteInputTensor))
+        {
+            TF_LITE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
+                broadcastToOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+
+        // The shape tensor contains the new shape to be applied on the input
+        const TfLiteTensor& tfLiteShapeTensor = tfLiteTensors[tfLiteNode->inputs->data[1]];
+        if (IsDynamicTensor(tfLiteShapeTensor))
+        {
+            TF_LITE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
+                broadcastToOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+
+        // The output tensor
+        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: ",
+                broadcastToOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+
+        const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
+        const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
+
+        auto* shapeData = tflite::GetTensorData<int32_t>(&tfLiteShapeTensor);
+        auto shapeTensorNum = tfLiteShapeTensor.dims->data[0];
+
+        armnn::BroadcastToDescriptor broadcastToDescriptor;
+        broadcastToDescriptor.m_BroadcastToShape = armnn::TensorShape(shapeTensorNum,
+                                                                      shapeData);
+
+        // No network pointer indicates that only support for this operator should be checked
+        if (!delegateData.m_Network)
+        {
+            return ValidateBroadcastToOperator(delegateData,
+                                               tfLiteContext,
+                                               inputTensorInfo,
+                                               outputTensorInfo,
+                                               broadcastToDescriptor);
+        }
+
+        auto layerName = GetLayerName(armnn::LayerType::BroadcastTo, nodeIndex);
+        armnn::IConnectableLayer* layer = delegateData.m_Network->AddBroadcastToLayer(broadcastToDescriptor,
+                                                                                      layerName.c_str());
+
+        if (layer == nullptr)
+        {
+            return kTfLiteError;
+        }
+
+        layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+        if (ProcessInputs(layer, delegateData, tfLiteContext, tfLiteNode, nodeIndex) != kTfLiteOk)
+        {
+            return kTfLiteError;
+        }
+
+        return Connect(layer, tfLiteNode, delegateData);
+    }
+
+} // namespace armnnDelegate
\ No newline at end of file
diff --git a/delegate/classic/src/armnn_delegate.cpp b/delegate/classic/src/armnn_delegate.cpp
index de2aa0c632..c428d46d87 100644
--- a/delegate/classic/src/armnn_delegate.cpp
+++ b/delegate/classic/src/armnn_delegate.cpp
@@ -11,6 +11,7 @@
 #include "ArgMinMax.hpp"
 #include "BatchMatMul.hpp"
 #include "BatchSpace.hpp"
+#include "BroadcastTo.hpp"
 #include "Comparison.hpp"
 #include "Convolution.hpp"
 #include "Control.hpp"
@@ -603,6 +604,12 @@ TfLiteStatus ArmnnSubgraph::VisitNode(DelegateData& delegateData,
                                                tfLiteNode,
                                                nodeIndex,
                                                kTfLiteBuiltinBatchToSpaceNd);
+        case kTfLiteBuiltinBroadcastTo:
+            return VisitBroadcastToOperator(delegateData,
+                                            tfLiteContext,
+                                            tfLiteNode,
+                                            nodeIndex,
+                                            kTfLiteBuiltinBroadcastTo);
         case kTfLiteBuiltinCast:
             return VisitCastOperator(delegateData,
                                      tfLiteContext,