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/*
* 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 "tflite/ext/kernels/Abs.h"
#include "tensorflow/lite/kernels/kernel_util.h"
#include <iostream>
#include <cmath>
namespace nnfw
{
namespace tflite
{
namespace custom
{
namespace Abs
{
void *InitAbs(TfLiteContext *, const char *, size_t) { return nullptr; }
void FreeAbs(TfLiteContext *, void *) {}
TfLiteStatus PrepareAbs(TfLiteContext *context, TfLiteNode *node)
{
TF_LITE_ENSURE_EQ(context, ::tflite::NumInputs(node), 1);
TF_LITE_ENSURE_EQ(context, ::tflite::NumOutputs(node), 1);
const TfLiteTensor *input = ::tflite::GetInput(context, node, 0);
TfLiteTensor *output = ::tflite::GetOutput(context, node, 0);
TF_LITE_ENSURE_EQ(context, input->type, output->type);
return context->ResizeTensor(context, output, TfLiteIntArrayCopy(input->dims));
}
TfLiteStatus EvalAbs(TfLiteContext *context, TfLiteNode *node)
{
const TfLiteTensor *input = ::tflite::GetInput(context, node, 0);
TfLiteTensor *output = ::tflite::GetOutput(context, node, 0);
size_t elements = ::tflite::NumElements(input);
switch (input->type)
{
case kTfLiteFloat32:
{
auto *in = input->data.f;
auto *in_end = in + elements;
auto *out = output->data.f;
for (; in < in_end; in++, out++)
*out = std::abs(*in);
return kTfLiteOk;
}
case kTfLiteInt32:
{
auto *in = input->data.i32;
auto *in_end = in + elements;
auto *out = output->data.i32;
for (; in < in_end; in++, out++)
*out = std::abs(*in);
return kTfLiteOk;
}
case kTfLiteInt64:
{
auto *in = input->data.i64;
auto *in_end = in + elements;
auto *out = output->data.i64;
for (; in < in_end; in++, out++)
*out = std::abs(*in);
return kTfLiteOk;
}
case kTfLiteUInt8:
{
auto *in = input->data.uint8;
auto *in_end = in + elements;
auto *out = output->data.uint8;
for (; in < in_end; in++, out++)
*out = *in;
return kTfLiteOk;
}
default:
{
context->ReportError(context, "Input type %d is not supported", input->type);
return kTfLiteError;
}
}
}
} // namespace Abs
} // namespace custom
} // namespace tflite
} // namespace nnfw
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