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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-03-14 12:10:28 +0000 |
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committer | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-03-28 11:41:55 +0100 |
commit | ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9 (patch) | |
tree | a5b8e1ad68a2437f007338f0b6195ca5ed2bddc3 /delegate/src/Fill.hpp | |
parent | 9cb3466b677a1048b8abb24661e92c4c83fdda04 (diff) | |
download | armnn-ad1b3d7518429e2d16a2695d9b0bbf81b6565ac9.tar.gz |
IVGCVSW-7555 Restructure Delegate
* New folders created:
* common is for common code where TfLite API is not used
* classic is for existing delegate implementations
* opaque is for new opaque delegate implementation,
* tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use.
* Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so
* Opaque structure is introduced but no API is added yet.
* CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added
* Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE
* Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed
Diffstat (limited to 'delegate/src/Fill.hpp')
-rw-r--r-- | delegate/src/Fill.hpp | 114 |
1 files changed, 0 insertions, 114 deletions
diff --git a/delegate/src/Fill.hpp b/delegate/src/Fill.hpp deleted file mode 100644 index e79133e15c..0000000000 --- a/delegate/src/Fill.hpp +++ /dev/null @@ -1,114 +0,0 @@ -// -// Copyright © 2022 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, true); - - 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; - armnn::BackendId setBackend; - auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported) - { - FORWARD_LAYER_SUPPORT_FUNC("FILL", - tfLiteContext, - IsFillSupported, - delegateData.m_Backends, - isSupported, - setBackend, - inputTensorInfo, - outInfo, - descriptor); - }; - - if (!delegateData.m_Network) - { - validateFunc(outputTensorInfo, isSupported); - return isSupported ? kTfLiteOk : kTfLiteError; - } - - armnn::IConnectableLayer* layer = delegateData.m_Network->AddFillLayer(descriptor); - layer->SetBackendId(setBackend); - 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 |