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Diffstat (limited to 'delegate/classic/src/BroadcastTo.hpp')
| -rw-r--r-- | delegate/classic/src/BroadcastTo.hpp | 122 |
1 files changed, 122 insertions, 0 deletions
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
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