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

Signed-off-by: Idriss Chaouch <idriss.chaouch@arm.com>
Change-Id: Ibc145d0ea1ac9414b6a68b5b547bf2ea2852fd36
diff --git a/delegate/opaque/src/BroadcastTo.hpp b/delegate/opaque/src/BroadcastTo.hpp
new file mode 100644
index 0000000..3795875
--- /dev/null
+++ b/delegate/opaque/src/BroadcastTo.hpp
@@ -0,0 +1,141 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <OpaqueDelegateUtils.hpp>
+
+namespace armnnOpaqueDelegate
+{
+    TfLiteStatus ValidateBroadcastToOperator(DelegateData& delegateData,
+                                             TfLiteOpaqueContext *tfLiteContext,
+                                             const armnn::TensorInfo& inputInfo,
+                                             const armnn::TensorInfo& outputInfo,
+                                             const armnn::BroadcastToDescriptor& descriptor)
+    {
+        bool isSupported = false;
+        FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("BROADCAST_TO",
+                                          tfLiteContext,
+                                          IsBroadcastToSupported,
+                                          delegateData.m_Backends,
+                                          isSupported,
+                                          armnn::BackendId(),
+                                          inputInfo,
+                                          outputInfo,
+                                          descriptor);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    TfLiteStatus VisitBroadcastToOperator(DelegateData& delegateData,
+                                          TfLiteOpaqueContext* tfLiteContext,
+                                          TfLiteOpaqueNode* tfLiteNode,
+                                          int nodeIndex,
+                                          int32_t broadcastToOperatorCode)
+    {
+        TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+        TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+        // Gather input tensors
+        auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode);
+        const int* inputTensors;
+        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;
+        }
+
+        // Gather output tensors
+        int numOutputs = 0;
+        const int* outputTensors;
+        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;
+        }
+
+        // The input contains the data
+        const TfLiteOpaqueTensor* tfLiteInputTensor =
+                TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]);
+        if (IsDynamicTensor(tfLiteInputTensor))
+        {
+            TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
+                broadcastToOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+
+        // The shape tensor
+        const TfLiteOpaqueTensor* tfLiteShapeTensor =
+                TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);;
+        if (IsDynamicTensor(tfLiteShapeTensor))
+        {
+            TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
+                broadcastToOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+
+        // The output tensor
+        const TfLiteOpaqueTensor* tfLiteOutputTensor =
+                TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]);
+        if (IsDynamicTensor(tfLiteOutputTensor))
+        {
+            TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ",
+                broadcastToOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+
+        const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor);
+        const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor,
+                                                                                       true);
+
+        auto* shapeData = static_cast<int32_t*>(TfLiteOpaqueTensorData(tfLiteShapeTensor));
+        int32_t shapeTensorNum = TfLiteOpaqueTensorDim(tfLiteShapeTensor, 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);
+        }
+
+        std::string layerName("BroadcastTo");
+        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, tfLiteContext, tfLiteNode, delegateData);
+    }
+
+} // namespace armnnOpaqueDelegate
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