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
diff --git a/delegate/classic/src/Fill.hpp b/delegate/classic/src/Fill.hpp
new file mode 100644
index 0000000..15dc91e
--- /dev/null
+++ b/delegate/classic/src/Fill.hpp
@@ -0,0 +1,114 @@
+//
+// 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 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