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Diffstat (limited to 'delegate/src/Quantization.hpp')
| -rw-r--r-- | delegate/src/Quantization.hpp | 171 |
1 files changed, 0 insertions, 171 deletions
diff --git a/delegate/src/Quantization.hpp b/delegate/src/Quantization.hpp deleted file mode 100644 index f1192960e4..0000000000 --- a/delegate/src/Quantization.hpp +++ /dev/null @@ -1,171 +0,0 @@ -// -// Copyright © 2022-2023 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> - -namespace armnnDelegate -{ - -TfLiteStatus VisitDequantizeOperator(DelegateData& delegateData, - TfLiteContext* tfLiteContext, - TfLiteNode* tfLiteNode, - int nodeIndex, - int32_t tfLiteDequantizeOperatorCode) -{ - TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); - TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); - - const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; - 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: ", - tfLiteDequantizeOperatorCode, nodeIndex); - return kTfLiteError; - } - - 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: ", - tfLiteDequantizeOperatorCode, nodeIndex); - - return kTfLiteError; - } - const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); - armnn::TensorInfo outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); - - UpdateConstantTensorOutputs(inputTensorInfo, outputTensorInfo); - - bool isSupported = false; - armnn::BackendId setBackend; - auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) - { - FORWARD_LAYER_SUPPORT_FUNC("DEQUANTIZE", - tfLiteContext, - IsDequantizeSupported, - delegateData.m_Backends, - isSupported, - setBackend, - inputTensorInfo, - outputTensorInfo); - }; - - if (!delegateData.m_Network) - { - validateFunc(outputTensorInfo, isSupported); - return isSupported ? kTfLiteOk : kTfLiteError; - } - - armnn::IConnectableLayer* dequantizeLayer = delegateData.m_Network->AddDequantizeLayer(); - dequantizeLayer->SetBackendId(setBackend); - ARMNN_ASSERT(dequantizeLayer != nullptr); - - armnn::IOutputSlot& outputSlot = dequantizeLayer->GetOutputSlot(0); - outputSlot.SetTensorInfo(outputTensorInfo); - - auto inputsTensorsProcess = ProcessInputs(dequantizeLayer, - delegateData, - tfLiteContext, - tfLiteNode); - if (inputsTensorsProcess == kTfLiteError) - { - return inputsTensorsProcess; - } - - return Connect(dequantizeLayer, tfLiteNode, delegateData); -} - -TfLiteStatus VisitQuantizeOperator(DelegateData& delegateData, - TfLiteContext* tfLiteContext, - TfLiteNode* tfLiteNode, - int nodeIndex, - int32_t tfLiteQuantizeOperatorCode) -{ - TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); - TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex)); - - const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors; - 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: ", - tfLiteQuantizeOperatorCode, nodeIndex); - return kTfLiteError; - } - - 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: ", - tfLiteQuantizeOperatorCode, nodeIndex); - return kTfLiteError; - } - - // Only affine per-layer quantization is supported. - if (!IsAffineQuantization(tfLiteOutputTensor)) - { - TF_LITE_MAYBE_KERNEL_LOG( - tfLiteContext, - "TfLiteArmnnDelegate: Only affine per-layer quantization is supported in operator #%d node #%d: ", - tfLiteQuantizeOperatorCode, nodeIndex); - return kTfLiteError; - } - - const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor); - const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true); - - bool isSupported = false; - armnn::BackendId setBackend; - auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported) - { - FORWARD_LAYER_SUPPORT_FUNC("QUANTIZE", - tfLiteContext, - IsQuantizeSupported, - delegateData.m_Backends, - isSupported, - setBackend, - inputTensorInfo, - outputTensorInfo); - }; - - if (!delegateData.m_Network) - { - validateFunc(outputTensorInfo, isSupported); - return isSupported ? kTfLiteOk : kTfLiteError; - } - - armnn::IConnectableLayer* quantizeLayer = delegateData.m_Network->AddQuantizeLayer(); - quantizeLayer->SetBackendId(setBackend); - ARMNN_ASSERT(quantizeLayer != nullptr); - - armnn::IOutputSlot& outputSlot = quantizeLayer->GetOutputSlot(0); - outputSlot.SetTensorInfo(outputTensorInfo); - - // try to connect the Constant Inputs if there are any - if(ProcessInputs(quantizeLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk ) - { - return kTfLiteError; - } - - return Connect(quantizeLayer, tfLiteNode, delegateData); -} - -} // namespace armnnDelegate |