From: 이춘석/동작제어Lab(SR)/Staff Engineer/삼성전자 <chunseok.lee@samsung.com>
Date: Mon, 10 Sep 2018 02:16:49 +0000 (+0900)
Subject: Remove tensor.h deps of RSQRT, SQDiff (#2638)
X-Git-Tag: 0.2~56
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=67f5ab7efa09783f0e9e6b2d323d04b6beb8805d;p=platform%2Fcore%2Fml%2Fnnfw.git

Remove tensor.h deps of RSQRT, SQDiff (#2638)

To fix gbs build, remove tensor.h deps of RSQRT and SQDiff

Signed-off-by: Chunseok Lee <chunseok.lee@samsung.com>
---

diff --git a/libs/support/tflite/src/kernels/RSQRT.cpp b/libs/support/tflite/src/kernels/RSQRT.cpp
index dfb5b0c..13efe0e 100644
--- a/libs/support/tflite/src/kernels/RSQRT.cpp
+++ b/libs/support/tflite/src/kernels/RSQRT.cpp
@@ -16,7 +16,6 @@
 
 #include "support/tflite/kernels/RSQRT.h"
 #include "tensorflow/contrib/lite/kernels/kernel_util.h"
-#include "tensorflow/contrib/lite/kernels/internal/tensor.h"
 
 #include <cmath>
 #include <iostream>
@@ -57,7 +56,7 @@ inline TfLiteStatus Eval(TfLiteContext *context, TfLiteNode *node, float float_f
     case kTfLiteFloat32:
     {
       size_t elements = NumElements(input);
-      const float *in = GetTensorData<float>(input);
+      const float *in = input->data.f;
       const float *in_end = in + elements;
       float *out = output->data.f;
       for (; in < in_end; in++, out++)
diff --git a/libs/support/tflite/src/kernels/SquaredDifference.cpp b/libs/support/tflite/src/kernels/SquaredDifference.cpp
index a2f64c6..25e10a8 100644
--- a/libs/support/tflite/src/kernels/SquaredDifference.cpp
+++ b/libs/support/tflite/src/kernels/SquaredDifference.cpp
@@ -16,7 +16,6 @@
 
 #include "support/tflite/kernels/SquaredDifference.h"
 #include "tensorflow/contrib/lite/kernels/kernel_util.h"
-#include "tensorflow/contrib/lite/kernels/internal/tensor.h"
 
 #include <iostream>
 
@@ -67,8 +66,8 @@ TfLiteStatus EvalSquaredDifference(TfLiteContext *context, TfLiteNode *node)
   {
     case kTfLiteFloat32:
     {
-      const float *in1 = GetTensorData<float>(input1);
-      const float *in2 = GetTensorData<float>(input2);
+      const float *in1 = input1->data.f;
+      const float *in2 = input2->data.f;
       const float *in_end1 = in1 + elements;
       float *out = output->data.f;
 
@@ -79,8 +78,8 @@ TfLiteStatus EvalSquaredDifference(TfLiteContext *context, TfLiteNode *node)
     }
     case kTfLiteInt32:
     {
-      const int *in1 = GetTensorData<int>(input1);
-      const int *in2 = GetTensorData<int>(input2);
+      const int *in1 = input1->data.i32;
+      const int *in2 = input2->data.i32;
       const int *in_end1 = in1 + elements;
       int *out = output->data.i32;
 
@@ -91,8 +90,8 @@ TfLiteStatus EvalSquaredDifference(TfLiteContext *context, TfLiteNode *node)
     }
     case kTfLiteInt64:
     {
-      const int64_t *in1 = GetTensorData<int64_t>(input1);
-      const int64_t *in2 = GetTensorData<int64_t>(input2);
+      const int64_t *in1 = input1->data.i64;
+      const int64_t *in2 = input1->data.i64;
       const int64_t *in_end1 = in1 + elements;
       int64_t *out = output->data.i64;