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Diffstat (limited to 'contrib/TFLiteSharp/TFLiteNative/src/tflite_nativewrapper.cpp')
-rw-r--r--contrib/TFLiteSharp/TFLiteNative/src/tflite_nativewrapper.cpp142
1 files changed, 0 insertions, 142 deletions
diff --git a/contrib/TFLiteSharp/TFLiteNative/src/tflite_nativewrapper.cpp b/contrib/TFLiteSharp/TFLiteNative/src/tflite_nativewrapper.cpp
deleted file mode 100644
index 413304637..000000000
--- a/contrib/TFLiteSharp/TFLiteNative/src/tflite_nativewrapper.cpp
+++ /dev/null
@@ -1,142 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd All Rights Reserved
- *
- * Licensed under the Apache License, Version 2.0 (the License);
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#include <iostream>
-#include "tflite_nativewrapper.h"
-#include "tflite_log.h"
-#include <string.h>
-#include <unistd.h>
-#include <errno.h>
-#include <assert.h>
-
-int getNumBytes(TFLiteNativeType dataType)
-{
- switch (dataType) {
- case INT32:
- return 4;
- case FLOAT32:
- return 4;
- case UINT8:
- return 1;
- case INT64:
- return 8;
- default:
- return 1;
- }
-}
-
-/// <summary>
-/// Set the number of threads available to the interpreter.
-/// </summary>
-/// <param name="interpreterHandle">Handle of the interpreter instance.</param>
-/// <param name="numThreads">Number of threads.</param>
-void tflite_interpreter_setNumThreads(long* interpreterHandle, int numThreads)
-{
- assert(interpreterHandle != nullptr);
- tflite::Interpreter* interpreter = reinterpret_cast<tflite::Interpreter*>(*interpreterHandle);
-
- interpreter->SetNumThreads(numThreads);
-
- TFLITE_NATIVE_LOG(DEBUG, "Number of threads: %d", numThreads);
- return;
-}
-
-/// <summary>
-/// Creates a Flat Buffer Model from the given .tflite model.
-/// </summary>
-/// <param name="modelPath">Path of the model.</param>
-long long
-tflite_flatbuffermodel_BuildFromFile(char* modelPath)
-{
- if (modelPath == nullptr) {
- TFLITE_NATIVE_LOG(ERROR, "Invalid parameter");
- return 0;
- }
- TFLITE_NATIVE_LOG(ERROR, "Model Path: %s", modelPath);
-
- if (access(modelPath, F_OK) == -1) {
- TFLITE_NATIVE_LOG(ERROR, "Failed to access model [%s]",
- strerror(errno));
- return 0;
- }
-
- auto model = tflite::FlatBufferModel::BuildFromFile(modelPath);
-
- TFLITE_NATIVE_LOG(DEBUG, "Successfully loaded model");
- return reinterpret_cast<long>(model.release());
-}
-
-/// <summary>
-/// Creates an interpreter instance taking the flatbuffer model as input.
-/// </summary>
-/// <param name="modelHandle">Address of the flatbuffer model.</param>
-long long
-tflite_builder_interpreterBuilder(long* modelHandle)
-{
- assert(modelHandle != nullptr);
- tflite::FlatBufferModel* model = reinterpret_cast<tflite::FlatBufferModel*>(*modelHandle);
-
- tflite::ops::builtin::BuiltinOpResolver resolver;
- std::unique_ptr<tflite::Interpreter> interpreter;
-
- TfLiteStatus status = tflite::InterpreterBuilder (*model, resolver)(&interpreter);
-
- if (status != kTfLiteOk) {
- TFLITE_NATIVE_LOG(DEBUG, "Cannot create interpreter");
- return 0;
- }
- TFLITE_NATIVE_LOG(DEBUG, "CheckPoint interpreter");
- return reinterpret_cast<long>(interpreter.release());
-}
-
-/// <summary>
-/// Runs the inference given the inputs.
-/// </summary>
-/// <param name="interpreterHandle">Address of the interpreter instance.</param>
-/// <param name="values">Input values for the model.</param>
-/// <param name="inpLength">Length of the input.</param>
-/// <param name="dataType">Data type key of the input.</param>
-void* tflite_interpreter_run(long* interpreterHandle, void* values, int inputLength,
- int dataType)
-{
- assert(interpreterHandle != nullptr);
- tflite::Interpreter* interpreter = reinterpret_cast<tflite::Interpreter*>(*interpreterHandle);
-
- int inputTensorIndex = interpreter->inputs()[0];
-
- //TODO:: input tensor size will be passed as a parameter. It is hardcoded for now.
- interpreter->ResizeInputTensor(inputTensorIndex,
- { 1, 224, 224, 3 });
-
- if (interpreter->AllocateTensors() != kTfLiteOk) {
- TFLITE_NATIVE_LOG(ERROR, "Failed to allocate tensors!");
- return nullptr;
- }
-
- float* inputTensorPointer = interpreter->typed_tensor<float>(inputTensorIndex);
-
- int numBytes = getNumBytes((TFLiteNativeType) dataType);
-
- memcpy(inputTensorPointer, values, inputLength * numBytes);
-
- if (interpreter->Invoke() != kTfLiteOk) {
- TFLITE_NATIVE_LOG(ERROR, "Failed to invoke");
- }
-
- float* output = interpreter->typed_output_tensor<float>(0);
- return output;
-}
-