diff options
Diffstat (limited to 'delegate/opaque/src/Pack.hpp')
| -rw-r--r-- | delegate/opaque/src/Pack.hpp | 141 |
1 files changed, 141 insertions, 0 deletions
diff --git a/delegate/opaque/src/Pack.hpp b/delegate/opaque/src/Pack.hpp index e16969768e..c3ea7da7f7 100644 --- a/delegate/opaque/src/Pack.hpp +++ b/delegate/opaque/src/Pack.hpp @@ -2,3 +2,144 @@ // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // + +#pragma once + +#include <OpaqueDelegateUtils.hpp> + +namespace armnnOpaqueDelegate +{ + +TfLiteStatus VisitPackOperator(DelegateData& delegateData, + TfLiteOpaqueContext* tfLiteContext, + TfLiteOpaqueNode* tfLiteNode, + int nodeIndex, + int32_t tfLitePackOperatorCode) +{ + // Check Inputs + auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode); + if (numInputs < 1) + { + TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( + tfLiteContext, + "TfLiteArmnnOpaqueDelegate: Must have at least one input in (%d != %d) in node #%d", + 1, + numInputs, + nodeIndex); + return kTfLiteError; + } + + // Gather input indices and use to get input tensors. + 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; + } + + // Validate all inputs and get TensorInfo + std::vector<armnn::TensorInfo> inputTensorInfos; + for (int i = 0; i < numInputs; ++i) + { + const TfLiteOpaqueTensor* inputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[i]); + if (!IsValid(tfLiteContext, inputTensor, tfLitePackOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + + armnn::TensorInfo inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(inputTensor); + inputTensorInfos.emplace_back(inputTensorInfo); + } + + // Convert inputTensorInfos to const armnn::TensorInfo* type for FORWARD_LAYER_OPAQUE_SUPPORT_FUNC. + std::vector<const armnn::TensorInfo*> inputConstTensorInfos; + std::transform(inputTensorInfos.begin(), + inputTensorInfos.end(), + std::back_inserter(inputConstTensorInfos), + [](armnn::TensorInfo& t)->const armnn::TensorInfo*{ return &t; }); + + // Check outputs + TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); + + // Gather output indices and use to get output tensor. + const int* outputTensors; + int numOutputs; + 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; + } + + // Validate the output and get TensorInfo + const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]); + if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLitePackOperatorCode, nodeIndex)) + { + return kTfLiteError; + } + const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true); + + armnn::StackDescriptor desc; + desc.m_NumInputs = static_cast<uint32_t>(numInputs); + + // Get axis from TfLite parameters + auto* tfLiteNodeParameters = reinterpret_cast<TfLitePackParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode)); + auto axis = tfLiteNodeParameters->axis; + desc.m_Axis = NonNegative(axis, nodeIndex); + + // Use the tensor shape of the first input as the "correct" input shape in the descriptor + desc.m_InputShape = inputTensorInfos[0].GetShape(); + + // Check if supported + bool isSupported = false; + armnn::BackendId setBackend; + auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) + { + FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("STACK", + tfLiteContext, + IsStackSupported, + delegateData.m_Backends, + isSupported, + setBackend, + inputConstTensorInfos, + outputTensorInfo, + desc); + }; + + // 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, VisitPackOperator will be called again to add the layer to the network as seen below + if (!delegateData.m_Network) + { + validateFunc(outputTensorInfo, isSupported); + return isSupported ? kTfLiteOk : kTfLiteError; + } + + // The TfLite Pack operator is equivalent to the ArmNN Stack operator + armnn::IConnectableLayer* layer = delegateData.m_Network->AddStackLayer(desc); + layer->SetBackendId(setBackend); + ARMNN_ASSERT(layer != nullptr); + + // Connect the Constant Inputs + auto inputsTensorsProcess = ProcessInputs(layer, + delegateData, + tfLiteContext, + tfLiteNode); + if (inputsTensorsProcess == kTfLiteError) + { + return inputsTensorsProcess; + } + + armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); + outputSlot.SetTensorInfo(outputTensorInfo); + + // Connect + return Connect(layer, tfLiteContext, tfLiteNode, delegateData); +} + +} // namespace armnnOpaqueDelegate
\ No newline at end of file |