| // |
| // Copyright © 2020 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> |
| |
| namespace armnnDelegate |
| { |
| |
| TfLiteStatus VisitFillOperator(DelegateData& delegateData, |
| TfLiteContext* tfLiteContext, |
| TfLiteNode* tfLiteNode, |
| int nodeIndex, |
| int32_t tfLiteFillOperatorCode) |
| { |
| TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); |
| |
| switch(tfLiteFillOperatorCode) |
| { |
| case kTfLiteBuiltinFill: |
| TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| break; |
| default: |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; |
| const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteInputTensor, tfLiteFillOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteFillTensor = tfLiteTensors[tfLiteNode->inputs->data[1]]; |
| if (!IsValid(tfLiteContext, tfLiteFillTensor, tfLiteFillOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]]; |
| if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLiteFillOperatorCode, nodeIndex)) |
| { |
| return kTfLiteError; |
| } |
| |
| armnn::TensorInfo inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); |
| const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor); |
| |
| armnn::FillDescriptor descriptor; |
| switch (tfLiteFillTensor.type) |
| { |
| case kTfLiteFloat32: |
| descriptor.m_Value = tflite::GetTensorData<float>(&tfLiteFillTensor)[0]; |
| break; |
| case kTfLiteInt32: |
| descriptor.m_Value = tflite::GetTensorData<int32_t>(&tfLiteFillTensor)[0]; |
| break; |
| default: |
| TF_LITE_MAYBE_KERNEL_LOG( |
| tfLiteContext, |
| "TfLiteArmnnDelegate: FILL value data type is not supported in operator #%d node #%d: ", |
| tfLiteFillOperatorCode, nodeIndex); |
| return kTfLiteError; |
| } |
| |
| bool isSupported = false; |
| auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) |
| { |
| FORWARD_LAYER_SUPPORT_FUNC("FILL", |
| tfLiteContext, |
| IsFillSupported, |
| delegateData.m_Backends, |
| isSupported, |
| inputTensorInfo, |
| outInfo, |
| descriptor); |
| }; |
| |
| if (!delegateData.m_Network) |
| { |
| validateFunc(outputTensorInfo, isSupported); |
| return isSupported ? kTfLiteOk : kTfLiteError; |
| } |
| |
| armnn::IConnectableLayer* layer = delegateData.m_Network->AddFillLayer(descriptor); |
| ARMNN_ASSERT(layer != nullptr); |
| |
| armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0); |
| outputSlot.SetTensorInfo(outputTensorInfo); |
| |
| auto inputsTensorsProcess = ProcessInputs(layer, |
| delegateData, |
| tfLiteContext, |
| tfLiteNode); |
| if (inputsTensorsProcess == kTfLiteError) |
| { |
| return inputsTensorsProcess; |
| } |
| |
| return Connect(layer, tfLiteNode, delegateData); |
| } |
| |
| } // namespace armnnDelegate |