1 files changed, 0 insertions, 103 deletions
diff --git a/libs/tflite/src/ext/kernels/Abs.cpp b/libs/tflite/src/ext/kernels/Abs.cpp
deleted file mode 100644
index 7e9c2338d..000000000
--- a/libs/tflite/src/ext/kernels/Abs.cpp
+++ /dev/null
@@ -1,103 +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 "tflite/ext/kernels/Abs.h"
-#include "tensorflow/contrib/lite/kernels/kernel_util.h"
-
-#include <iostream>
-#include <cmath>
-
-namespace nnfw
-{
-namespace tflite
-{
-namespace custom
-{
-namespace Abs
-{
-
-void *InitAbs(TfLiteContext *context, const char *buffer, size_t length) { return nullptr; }
-
-void FreeAbs(TfLiteContext *context, void *buffer) {}
-
-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 = std::abs(*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