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Diffstat (limited to 'delegate/opaque/src/BroadcastTo.hpp')
| -rw-r--r-- | delegate/opaque/src/BroadcastTo.hpp | 141 |
1 files changed, 141 insertions, 0 deletions
diff --git a/delegate/opaque/src/BroadcastTo.hpp b/delegate/opaque/src/BroadcastTo.hpp new file mode 100644 index 0000000000..379587546f --- /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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