[moco/tf] Use TensorFlow (#4026)

This will fix comments using Tensorflow to TensorFlow

Signed-off-by: SaeHie Park <saehie.park@samsung.com>

5 files changed, 6 insertions, 6 deletions

diff --git a/contrib/moco-tf/src/Convert.h b/contrib/moco-tf/src/Convert.h
index 40ee78d28..b98014437 100644
--- a/contrib/moco-tf/src/Convert.h
+++ b/contrib/moco-tf/src/Convert.h
@@ -48,7 +48,7 @@ bool get_bool_attr(const tensorflow::NodeDef &node, const std::string &attr_name
 loco::DataType as_loco_datatype(const tensorflow::DataType dtype);
 
 /**
- * @brief Class to represent Tensorflow "data_format" attr.
+ * @brief Class to represent TensorFlow "data_format" attr.
  */
 enum class DataLayout
 {
diff --git a/contrib/moco-tf/src/Op/AvgPool2D.cpp b/contrib/moco-tf/src/Op/AvgPool2D.cpp
index 61749bd49..da5b8c002 100644
--- a/contrib/moco-tf/src/Op/AvgPool2D.cpp
+++ b/contrib/moco-tf/src/Op/AvgPool2D.cpp
@@ -125,7 +125,7 @@ void AvgPool2DGraphBuilder::build(const tensorflow::NodeDef &node,
   // AvgPool2D
   {
     // let's convert attrs:
-    //    Tensorflow attr : T,           data_format, ksize,   padding, strides
+    //    TensorFlow attr : T,           data_format, ksize,   padding, strides
     //    to loco attr:     not defined, TBD,         window,  annot,   stride
 
     // tf ksize -> loco window
diff --git a/contrib/moco-tf/src/Op/BiasAdd.cpp b/contrib/moco-tf/src/Op/BiasAdd.cpp
index ffc42846a..b50f5b2b8 100644
--- a/contrib/moco-tf/src/Op/BiasAdd.cpp
+++ b/contrib/moco-tf/src/Op/BiasAdd.cpp
@@ -138,7 +138,7 @@ void BiasAddGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderCon
       // Note: the following descrition of TF 1.13 at
       // https://www.tensorflow.org/api_docs/python/tf/nn/bias_add seems wrong:
       // "bias: A 1-D Tensor with size matching the last dimension of value."
-      // because providing the size of W (last dimension) to bias throws an error with Tensorflow
+      // because providing the size of W (last dimension) to bias throws an error with TensorFlow
     }
   }
 
diff --git a/contrib/moco-tf/src/Op/Conv2D.cpp b/contrib/moco-tf/src/Op/Conv2D.cpp
index 2b5c38e7d..c3f6935a3 100644
--- a/contrib/moco-tf/src/Op/Conv2D.cpp
+++ b/contrib/moco-tf/src/Op/Conv2D.cpp
@@ -145,7 +145,7 @@ void Conv2DGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderCont
   {
     auto enc = stdex::make_unique<loco::PermutingEncoder<loco::Domain::Filter>>();
 
-    // In Tensorflow, conv2d filter is a 4-D tensor of following shape:
+    // In TensorFlow, conv2d filter is a 4-D tensor of following shape:
     // [filter_height, filter_width, in_channels, out_channels] -> HWIO (HWCN)
 
     enc->perm()->axis(loco::FilterAxis::Height) = 0;
@@ -159,7 +159,7 @@ void Conv2DGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderCont
   auto conv2d = graph->nodes()->create<loco::Conv2D>();
   {
     // let's convert attrs:
-    //    Tensorflow attr : T,           data_format, dilations, padding, strides
+    //    TensorFlow attr : T,           data_format, dilations, padding, strides
     //    to loco attr:     not defined, TBD,         TBD,       TBD,     stride
 
     // tf strides  -> loco stride
diff --git a/contrib/moco-tf/src/Op/MaxPool2D.cpp b/contrib/moco-tf/src/Op/MaxPool2D.cpp
index 4c59acc9a..779a325f9 100644
--- a/contrib/moco-tf/src/Op/MaxPool2D.cpp
+++ b/contrib/moco-tf/src/Op/MaxPool2D.cpp
@@ -108,7 +108,7 @@ void MaxPool2DGraphBuilder::build(const tensorflow::NodeDef &node,
   // MaxPool2D
   {
     // let's convert attrs:
-    //    Tensorflow attr : T,           data_format, ksize,   padding, strides
+    //    TensorFlow attr : T,           data_format, ksize,   padding, strides
     //    to loco attr:     not defined, TBD,         window,  TBD,     stride
 
     // tf ksize -> loco window