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Diffstat (limited to 'delegate/opaque/src/Redefine.hpp')
-rw-r--r-- | delegate/opaque/src/Redefine.hpp | 96 |
1 files changed, 96 insertions, 0 deletions
diff --git a/delegate/opaque/src/Redefine.hpp b/delegate/opaque/src/Redefine.hpp index e16969768e..7dd8561de4 100644 --- a/delegate/opaque/src/Redefine.hpp +++ b/delegate/opaque/src/Redefine.hpp @@ -2,3 +2,99 @@ // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // +#pragma once + +#include <armnn/utility/IgnoreUnused.hpp> + +#include "OpaqueDelegateUtils.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 <numeric> + +namespace armnnOpaqueDelegate +{ + +TfLiteStatus VisitCastOperator(DelegateData& delegateData, + TfLiteOpaqueContext* tfLiteContext, + TfLiteOpaqueNode* tfLiteNode, + int nodeIndex, + int32_t operatorCode) +{ + TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + int numInputs = 0; + const int* inputTensors; + if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk) + { + return kTfLiteError; + } + + // This layer only has 1 input, so we can directly assign tensor[0] to a new opaque tensor + const TfLiteOpaqueTensor* + tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[numInputs-1]); + if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + int numOutputs = 0; + const int* outputTensors; + if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk) + { + return kTfLiteError; + } + + // This layer only has 1 output, so we can directly assign tensor[0] to a new opaque tensor + const TfLiteOpaqueTensor* + tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[numOutputs-1]); + if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex)) + { + return kTfLiteError; + } + + const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); + + bool isSupported = false; + armnn::BackendId setBackend; + auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) { + FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("CAST", + tfLiteContext, + IsCastSupported, + delegateData.m_Backends, + isSupported, + setBackend, + inputTensorInfo, + outInfo); + }; + + // If the m_Network is a nullptr, this signals that a prerequisite TfLite callback is required to clarify the + // support for the operator + // If supported, VisitCastOperator will be called again to add the layer to the network as seen further below + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + // Add a Cast layer + armnn::IConnectableLayer* layer = delegateData.m_Network->AddCastLayer(); + layer->SetBackendId(setBackend); + ARMNN_ASSERT(layer != nullptr); + + armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); + + // try to connect the Constant Inputs if there are any + if (ProcessInputs(layer, delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk) + { + return kTfLiteError; + } + + // Connect + return Connect(layer, tfLiteContext, tfLiteNode, delegateData); +} +} |