Fix the mistakes in manual and minor errors.

1. Fix the mistakes in manual.
2. Fix the minor errors in Normalize and ScaleAndShift functions.

source/tensor/core/math/Normalize.cpp

@@ -39,7 +39,7 @@ where a and b are the scalar and bias respectively, and \epsilon is the adjustme
 >> dim - dimension alone which we generate the mean and variance
 >> mean - the mean of the input
 >> var - the variance of the input
->> a - the scalar
+>> a - the scale
 >> b - the bias
 >> epsilon - a parameter
 */
@@ -107,7 +107,7 @@ where a and b are the scalar and bias respectively, and \epsilon is the adjustme
 >> dim - dimension alone which we generate the mean and variance
 >> mean - the mean of the input
 >> var - the variance of the input
->> a - the scalar
+>> a - the scale
 >> b - the bias
 >> epsilon - a parameter
 */
@@ -129,7 +129,7 @@ where a and b are the scalar and bias respectively, and \epsilon is the adjustme
 >> dim - dimension alone which we generate the mean and variance
 >> mean - the mean of the input
 >> var - the variance of the input
->> a - the scalar
+>> a - the scale
 >> b - the bias
 >> epsilon - a parameter
 */
@@ -151,7 +151,7 @@ where a and b are the scalar and bias respectively, and \epsilon is the adjustme
 >> dim - dimension alone which we generate the mean and variance
 >> mean - the mean of the input
 >> var - the variance of the input
->> a - the scalar
+>> a - the scale
 >> b - the bias
 >> epsilon - a parameter
 << return - the result of normalized the data with normal distribution
@@ -194,7 +194,7 @@ where a and b are the scalar and bias respectively, and \epsilon is the adjustme
 >> dim - dimension alone which we generate the mean and variance
 >> mean - the mean of the input
 >> var - the variance of the input
->> a - the scalar
+>> a - the scale
 >> b - the bias
 >> epsilon - a parameter
 << return - the result of normalized the data with normal distribution

source/tensor/core/math/ScaleAndShift.cpp

@@ -36,7 +36,7 @@ b = a * scale + shift
 
 >> a - the input tensor
 >> b - the output tensor
->> scale - the scaler factor
+>> scale - the scale factor
 >> shift - the shift factor
 */
 void _ScaleAndShift(const XTensor * a, XTensor * b, DTYPE scale, DTYPE shift)
@@ -113,7 +113,7 @@ keep the result in the input tensor a and return nothing
 a = a * scale + shift
 
 >> a - the input/output tensor
->> scale - the scaler factor
+>> scale - the scale factor
 >> shift - the shift factor
 */
 void _ScaleAndShiftMe(XTensor * a, DTYPE scale, DTYPE shift)
@@ -128,7 +128,7 @@ keep the result in the input tensor a and return nothing
 a = a * scale + shift
 
 >> a - the input/output tensor
->> scale - the scaler factor
+>> scale - the scale factor
 >> shift - the shift factor
 */
 void ScaleAndShiftMe(XTensor& a, DTYPE scale, DTYPE shift)
@@ -151,7 +151,7 @@ make a new tensor to keep the result and return it
 b = a * scale + shift
 
 >> a - the input tensor
->> scale - the scaler factor
+>> scale - the scale factor
 >> shift - the shift factor
 << return - the result of scaling and shifting all tensor entires
 */
@@ -188,7 +188,7 @@ b = a * scale + shift
 
 >> a - the input tensor
 >> b - the output tensor
->> scale - the scaler factor
+>> scale - the scale factor
 >> shift - the shift factor
 */
 void ScaleAndShift(const XTensor & a, XTensor & b, DTYPE scale, DTYPE shift)

source/tensor/test/TNormalize.cpp

@@ -70,7 +70,7 @@ bool TestNormalize1()
     for (int i = 0; i < varOrder; i++)
         varUnitNum *= varDimSize[i];
 
-    /* a scalar tensor of size (2, 3) */
+    /* a scale tensor of size (2, 3) */
     int aOrder = 2;
     int * aDimSize = new int[aOrder];
     aDimSize[0] = 2;