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-rw-r--r--delegate/opaque/src/GatherNd.hpp102
1 files changed, 102 insertions, 0 deletions
diff --git a/delegate/opaque/src/GatherNd.hpp b/delegate/opaque/src/GatherNd.hpp
index e16969768e..a23fa889a3 100644
--- a/delegate/opaque/src/GatherNd.hpp
+++ b/delegate/opaque/src/GatherNd.hpp
@@ -2,3 +2,105 @@
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
+
+#pragma once
+
+#include <OpaqueDelegateUtils.hpp>
+
+#include <algorithm>
+#include <iterator>
+#include <string>
+#include <vector>
+
+namespace armnnOpaqueDelegate
+{
+TfLiteStatus VisitGatherNdOperator(DelegateData& delegateData,
+ TfLiteOpaqueContext* tfLiteContext,
+ TfLiteOpaqueNode* tfLiteNode,
+ int nodeIndex,
+ int32_t operatorCode)
+{
+ TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+ TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+ int numInputs = 0;
+ 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;
+ }
+
+ 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;
+ }
+
+ const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext,
+ inputTensors[0]);
+ if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
+ {
+ return kTfLiteError;
+ }
+
+ const TfLiteOpaqueTensor* tfLiteIndicesTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext,
+ inputTensors[1]);
+ if (!IsValid(tfLiteContext, tfLiteIndicesTensor, operatorCode, nodeIndex))
+ {
+ return kTfLiteError;
+ }
+
+ const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext,
+ outputTensors[0]);
+ if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
+ {
+ return kTfLiteError;
+ }
+
+ const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor);
+ const armnn::TensorInfo& indicesTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteIndicesTensor);
+ const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
+
+ armnn::BackendId setBackend;
+ if (!delegateData.m_Network)
+ {
+ // Check if supported
+ bool isSupported = false;
+ FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("GATHER_ND",
+ tfLiteContext,
+ IsGatherNdSupported,
+ delegateData.m_Backends,
+ isSupported,
+ setBackend,
+ inputTensorInfo,
+ indicesTensorInfo,
+ outputTensorInfo);
+ return isSupported ? kTfLiteOk : kTfLiteError;
+ }
+
+ armnn::IConnectableLayer* layer = delegateData.m_Network->AddGatherNdLayer();
+ layer->SetBackendId(setBackend);
+ ARMNN_ASSERT(layer != nullptr);
+ layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+ auto inputsTensorsProcess = ProcessInputs(layer,
+ delegateData,
+ tfLiteContext,
+ tfLiteNode);
+ if (inputsTensorsProcess == kTfLiteError)
+ {
+ return inputsTensorsProcess;
+ }
+
+ return Connect(layer, tfLiteContext, tfLiteNode, delegateData);
+}
+} // namespace armnnOpaqueDelegate \ No newline at end of file