[PATCH 1/2] Misc. typos

From 68d431b4c14ad60a778ee93c1f59ecc4b931950e Mon Sep 17 00:00:00 2001
Found via `codespell -q 3 -I ../eigen-word-whitelist.txt` where the whitelists consists of:
```
als
ans
cas
dum
lastr
lowd
nd
overfl
pres
preverse
substraction
te
uint
whch
```
---
 CMakeLists.txt                                | 26 +++++++++----------
 Eigen/src/Core/GenericPacketMath.h            |  2 +-
 Eigen/src/SparseLU/SparseLU.h                 |  2 +-
 bench/bench_norm.cpp                          |  2 +-
 doc/HiPerformance.dox                         |  2 +-
 doc/QuickStartGuide.dox                       |  2 +-
 .../Eigen/CXX11/src/Tensor/TensorChipping.h   |  6 ++---
 .../Eigen/CXX11/src/Tensor/TensorDeviceGpu.h  |  2 +-
 .../src/Tensor/TensorForwardDeclarations.h    |  4 +--
 .../src/Tensor/TensorGpuHipCudaDefines.h      |  2 +-
 .../Eigen/CXX11/src/Tensor/TensorReduction.h  |  2 +-
 .../CXX11/src/Tensor/TensorReductionGpu.h     |  2 +-
 .../test/cxx11_tensor_concatenation.cpp       |  2 +-
 unsupported/test/cxx11_tensor_executor.cpp    |  2 +-
 14 files changed, 29 insertions(+), 29 deletions(-)

16 files changed, 56 insertions, 56 deletions

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 1d0f56367..45cbc75ee 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -159,7 +159,7 @@ if(NOT MSVC)
   ei_add_cxx_compiler_flag("-Wall")
   ei_add_cxx_compiler_flag("-Wextra")
   #ei_add_cxx_compiler_flag("-Weverything")              # clang
-  
+
   ei_add_cxx_compiler_flag("-Wundef")
   ei_add_cxx_compiler_flag("-Wcast-align")
   ei_add_cxx_compiler_flag("-Wchar-subscripts")
@@ -174,25 +174,25 @@ if(NOT MSVC)
   ei_add_cxx_compiler_flag("-Wc++11-extensions")
   ei_add_cxx_compiler_flag("-Wdouble-promotion")
 #  ei_add_cxx_compiler_flag("-Wconversion")
-  
+
   ei_add_cxx_compiler_flag("-Wshadow")
-  
+
   ei_add_cxx_compiler_flag("-Wno-psabi")
   ei_add_cxx_compiler_flag("-Wno-variadic-macros")
   ei_add_cxx_compiler_flag("-Wno-long-long")
-  
+
   ei_add_cxx_compiler_flag("-fno-check-new")
   ei_add_cxx_compiler_flag("-fno-common")
   ei_add_cxx_compiler_flag("-fstrict-aliasing")
   ei_add_cxx_compiler_flag("-wd981")                    # disable ICC's "operands are evaluated in unspecified order" remark
   ei_add_cxx_compiler_flag("-wd2304")                   # disable ICC's "warning #2304: non-explicit constructor with single argument may cause implicit type conversion" produced by -Wnon-virtual-dtor
-  
-  
+
+
   # The -ansi flag must be added last, otherwise it is also used as a linker flag by check_cxx_compiler_flag making it fails
   # Moreover we should not set both -strict-ansi and -ansi
   check_cxx_compiler_flag("-strict-ansi" COMPILER_SUPPORT_STRICTANSI)
   ei_add_cxx_compiler_flag("-Qunused-arguments")        # disable clang warning: argument unused during compilation: '-ansi'
-  
+
   if(COMPILER_SUPPORT_STRICTANSI)
     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -strict-ansi")
   else()
@@ -203,7 +203,7 @@ if(NOT MSVC)
     ei_add_cxx_compiler_flag("-pie")
     ei_add_cxx_compiler_flag("-fPIE")
   endif()
-  
+
   set(CMAKE_REQUIRED_FLAGS "")
 
   option(EIGEN_TEST_SSE2 "Enable/Disable SSE2 in tests/examples" OFF)
@@ -327,7 +327,7 @@ else(NOT MSVC)
   #         because we are oftentimes returning objects that have a destructor or may
   #         throw exceptions - in particular in the unit tests we are throwing extra many
   #         exceptions to cover indexing errors.
-  # C4505 - unreferenced local function has been removed (impossible to deactive selectively)
+  # C4505 - unreferenced local function has been removed (impossible to deactivate selectively)
   set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /EHsc /wd4127 /wd4505 /wd4714")
 
   # replace all /Wx by /W4
@@ -596,11 +596,11 @@ if (NOT CMAKE_VERSION VERSION_LESS 3.0)
 
 else (NOT CMAKE_VERSION VERSION_LESS 3.0)
   # Fallback to legacy Eigen3Config.cmake without the imported target
-  
+
   # If CMakePackageConfigHelpers module is available (CMake >= 2.8.8)
-  # create a relocatable Config file, otherwise leave the hardcoded paths       
+  # create a relocatable Config file, otherwise leave the hardcoded paths
   include(CMakePackageConfigHelpers OPTIONAL RESULT_VARIABLE CPCH_PATH)
-  
+
   if(CPCH_PATH)
     configure_package_config_file (
       ${CMAKE_CURRENT_SOURCE_DIR}/cmake/Eigen3ConfigLegacy.cmake.in
@@ -609,7 +609,7 @@ else (NOT CMAKE_VERSION VERSION_LESS 3.0)
       INSTALL_DESTINATION ${CMAKEPACKAGE_INSTALL_DIR}
       NO_CHECK_REQUIRED_COMPONENTS_MACRO # Eigen does not provide components
     )
-  else() 
+  else()
     # The PACKAGE_* variables are defined by the configure_package_config_file
     # but without it we define them manually to the hardcoded paths
     set(PACKAGE_INIT "")
diff --git a/Eigen/src/Core/GenericPacketMath.h b/Eigen/src/Core/GenericPacketMath.h
index b67c41d8a..da1350f1b 100644
--- a/Eigen/src/Core/GenericPacketMath.h
+++ b/Eigen/src/Core/GenericPacketMath.h
@@ -450,7 +450,7 @@ Packet pceil(const Packet& a) { using numext::ceil; return ceil(a); }
 * The following functions might not have to be overwritten for vectorized types
 ***************************************************************************/
 
-/** \internal copy a packet with constant coeficient \a a (e.g., [a,a,a,a]) to \a *to. \a to must be 16 bytes aligned */
+/** \internal copy a packet with constant coefficient \a a (e.g., [a,a,a,a]) to \a *to. \a to must be 16 bytes aligned */
 // NOTE: this function must really be templated on the packet type (think about different packet types for the same scalar type)
 template<typename Packet>
 inline void pstore1(typename unpacket_traits<Packet>::type* to, const typename unpacket_traits<Packet>::type& a)
diff --git a/Eigen/src/Core/PlainObjectBase.h b/Eigen/src/Core/PlainObjectBase.h
index da329fd4f..f551dabb0 100644
--- a/Eigen/src/Core/PlainObjectBase.h
+++ b/Eigen/src/Core/PlainObjectBase.h
@@ -104,7 +104,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
 
     typedef typename internal::traits<Derived>::StorageKind StorageKind;
     typedef typename internal::traits<Derived>::Scalar Scalar;
-    
+
     typedef typename internal::packet_traits<Scalar>::type PacketScalar;
     typedef typename NumTraits<Scalar>::Real RealScalar;
     typedef Derived DenseType;
@@ -358,7 +358,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       * remain row-vectors and vectors remain vectors.
       */
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
+    EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE void resizeLike(const EigenBase<OtherDerived>& _other)
     {
       const OtherDerived& other = _other.derived();
@@ -383,7 +383,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       * of rows and/or of columns, you can use conservativeResize(NoChange_t, Index) or
       * conservativeResize(Index, NoChange_t).
       *
-      * Matrices are resized relative to the top-left element. In case values need to be 
+      * Matrices are resized relative to the top-left element. In case values need to be
       * appended to the matrix they will be uninitialized.
       */
     EIGEN_DEVICE_FUNC
@@ -440,7 +440,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       * of rows and/or of columns, you can use conservativeResize(NoChange_t, Index) or
       * conservativeResize(Index, NoChange_t).
       *
-      * Matrices are resized relative to the top-left element. In case values need to be 
+      * Matrices are resized relative to the top-left element. In case values need to be
       * appended to the matrix they will copied from \c other.
       */
     template<typename OtherDerived>
@@ -564,7 +564,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       * \copydetails DenseBase::operator=(const EigenBase<OtherDerived> &other)
       */
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
+    EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Derived& operator=(const EigenBase<OtherDerived> &other)
     {
       _resize_to_match(other);
@@ -678,7 +678,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       * remain row-vectors and vectors remain vectors.
       */
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
+    EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE void _resize_to_match(const EigenBase<OtherDerived>& other)
     {
       #ifdef EIGEN_NO_AUTOMATIC_RESIZING
@@ -705,10 +705,10 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       *
       * \internal
       */
-    // aliasing is dealt once in internall::call_assignment
+    // aliasing is dealt once in internal::call_assignment
     // so at this stage we have to assume aliasing... and resising has to be done later.
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
+    EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Derived& _set(const DenseBase<OtherDerived>& other)
     {
       internal::call_assignment(this->derived(), other.derived());
@@ -721,7 +721,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       * \sa operator=(const MatrixBase<OtherDerived>&), _set()
       */
     template<typename OtherDerived>
-    EIGEN_DEVICE_FUNC 
+    EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Derived& _set_noalias(const DenseBase<OtherDerived>& other)
     {
       // I don't think we need this resize call since the lazyAssign will anyways resize
@@ -742,18 +742,18 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
                           FLOATING_POINT_ARGUMENT_PASSED__INTEGER_WAS_EXPECTED)
       resize(rows,cols);
     }
-    
+
     template<typename T0, typename T1>
-    EIGEN_DEVICE_FUNC 
+    EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE void _init2(const T0& val0, const T1& val1, typename internal::enable_if<Base::SizeAtCompileTime==2,T0>::type* = 0)
     {
       EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(PlainObjectBase, 2)
       m_storage.data()[0] = Scalar(val0);
       m_storage.data()[1] = Scalar(val1);
     }
-    
+
     template<typename T0, typename T1>
-    EIGEN_DEVICE_FUNC 
+    EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE void _init2(const Index& val0, const Index& val1,
                                     typename internal::enable_if<    (!internal::is_same<Index,Scalar>::value)
                                                                   && (internal::is_same<T0,Index>::value)
@@ -779,7 +779,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
                           FLOATING_POINT_ARGUMENT_PASSED__INTEGER_WAS_EXPECTED)
       resize(size);
     }
-    
+
     // We have a 1x1 matrix/array => the argument is interpreted as the value of the unique coefficient (case where scalar type can be implicitly converted)
     template<typename T>
     EIGEN_DEVICE_FUNC
@@ -788,7 +788,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(PlainObjectBase, 1)
       m_storage.data()[0] = val0;
     }
-    
+
     // We have a 1x1 matrix/array => the argument is interpreted as the value of the unique coefficient (case where scalar type match the index type)
     template<typename T>
     EIGEN_DEVICE_FUNC
@@ -844,7 +844,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
     {
       this->derived() = r;
     }
-    
+
     // For fixed-size Array<Scalar,...>
     template<typename T>
     EIGEN_DEVICE_FUNC
@@ -856,7 +856,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
     {
       Base::setConstant(val0);
     }
-    
+
     // For fixed-size Array<Index,...>
     template<typename T>
     EIGEN_DEVICE_FUNC
@@ -870,12 +870,12 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
     {
       Base::setConstant(val0);
     }
-    
+
     template<typename MatrixTypeA, typename MatrixTypeB, bool SwapPointers>
     friend struct internal::matrix_swap_impl;
 
   public:
-    
+
 #ifndef EIGEN_PARSED_BY_DOXYGEN
     /** \internal
       * \brief Override DenseBase::swap() since for dynamic-sized matrices
@@ -888,7 +888,7 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
       enum { SwapPointers = internal::is_same<Derived, OtherDerived>::value && Base::SizeAtCompileTime==Dynamic };
       internal::matrix_swap_impl<Derived, OtherDerived, bool(SwapPointers)>::run(this->derived(), other.derived());
     }
-    
+
     /** \internal
       * \brief const version forwarded to DenseBase::swap
       */
@@ -896,8 +896,8 @@ class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
     EIGEN_DEVICE_FUNC
     void swap(DenseBase<OtherDerived> const & other)
     { Base::swap(other.derived()); }
-    
-    EIGEN_DEVICE_FUNC 
+
+    EIGEN_DEVICE_FUNC
     static EIGEN_STRONG_INLINE void _check_template_params()
     {
       EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor)
@@ -994,7 +994,7 @@ struct conservative_resize_like_impl<Derived,OtherDerived,true>
   typedef conservative_resize_like_impl<Derived,OtherDerived,false> Base;
   using Base::run;
   using Base::IsRelocatable;
-  
+
   static void run(DenseBase<Derived>& _this, Index size)
   {
     const Index new_rows = Derived::RowsAtCompileTime==1 ? 1 : size;
diff --git a/Eigen/src/Jacobi/Jacobi.h b/Eigen/src/Jacobi/Jacobi.h
index 4ccd49a04..bfb9dcb08 100644
--- a/Eigen/src/Jacobi/Jacobi.h
+++ b/Eigen/src/Jacobi/Jacobi.h
@@ -11,7 +11,7 @@
 #ifndef EIGEN_JACOBI_H
 #define EIGEN_JACOBI_H
 
-namespace Eigen { 
+namespace Eigen {
 
 /** \ingroup Jacobi_Module
   * \jacobi_module
@@ -173,7 +173,7 @@ void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar
   using std::sqrt;
   using std::abs;
   using numext::conj;
-  
+
   if(q==Scalar(0))
   {
     m_c = numext::real(p)<0 ? Scalar(-1) : Scalar(1);
@@ -273,7 +273,7 @@ void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar
 
 namespace internal {
 /** \jacobi_module
-  * Applies the clock wise 2D rotation \a j to the set of 2D vectors of cordinates \a x and \a y:
+  * Applies the clock wise 2D rotation \a j to the set of 2D vectors of coordinates \a x and \a y:
   * \f$ \left ( \begin{array}{cc} x \\ y \end{array} \right )  =  J \left ( \begin{array}{cc} x \\ y \end{array} \right ) \f$
   *
   * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
@@ -463,7 +463,7 @@ void /*EIGEN_DONT_INLINE*/ apply_rotation_in_the_plane(DenseBase<VectorX>& xpr_x
 
   Scalar* EIGEN_RESTRICT x = &xpr_x.derived().coeffRef(0);
   Scalar* EIGEN_RESTRICT y = &xpr_y.derived().coeffRef(0);
-  
+
   OtherScalar c = j.c();
   OtherScalar s = j.s();
   if (c==OtherScalar(1) && s==OtherScalar(0))
diff --git a/Eigen/src/SparseLU/SparseLU.h b/Eigen/src/SparseLU/SparseLU.h
index 91b6369ac..b23125e49 100644
--- a/Eigen/src/SparseLU/SparseLU.h
+++ b/Eigen/src/SparseLU/SparseLU.h
@@ -26,7 +26,7 @@ template <typename MatrixLType, typename MatrixUType> struct SparseLUMatrixURetu
   * This class implements the supernodal LU factorization for general matrices.
   * It uses the main techniques from the sequential SuperLU package 
   * (http://crd-legacy.lbl.gov/~xiaoye/SuperLU/). It handles transparently real 
-  * and complex arithmetics with single and double precision, depending on the 
+  * and complex arithmetic with single and double precision, depending on the 
   * scalar type of your input matrix. 
   * The code has been optimized to provide BLAS-3 operations during supernode-panel updates. 
   * It benefits directly from the built-in high-performant Eigen BLAS routines. 
diff --git a/bench/bench_norm.cpp b/bench/bench_norm.cpp
index 129afcfb2..a86153945 100644
--- a/bench/bench_norm.cpp
+++ b/bench/bench_norm.cpp
@@ -134,7 +134,7 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v)
     iexp  = - ((iemax+it)/2);
     s2m   = std::pow(ibeta,iexp);   // scaling factor for upper range
 
-    overfl  = rbig*s2m;          // overfow boundary for abig
+    overfl  = rbig*s2m;          // overflow boundary for abig
     eps     = std::pow(ibeta, 1-it);
     relerr  = std::sqrt(eps);      // tolerance for neglecting asml
     abig    = 1.0/eps - 1.0;
diff --git a/doc/HiPerformance.dox b/doc/HiPerformance.dox
index ab6cdfd44..9cee3351c 100644
--- a/doc/HiPerformance.dox
+++ b/doc/HiPerformance.dox
@@ -105,7 +105,7 @@ m1.noalias() += m2 * m3; \endcode</td>
 <td>First of all, here the .noalias() in the first expression is useless because
     m2*m3 will be evaluated anyway. However, note how this expression can be rewritten
     so that no temporary is required. (tip: for very small fixed size matrix
-    it is slighlty better to rewrite it like this: m1.noalias() = m2 * m3; m1 += m4;</td>
+    it is slightly better to rewrite it like this: m1.noalias() = m2 * m3; m1 += m4;</td>
 </tr>
 <tr class="alt">
 <td>\code
diff --git a/doc/QuickStartGuide.dox b/doc/QuickStartGuide.dox
index 23bb2981b..4192b28b7 100644
--- a/doc/QuickStartGuide.dox
+++ b/doc/QuickStartGuide.dox
@@ -66,7 +66,7 @@ The output is as follows:
 
 \section GettingStartedExplanation2 Explanation of the second example
 
-The second example starts by declaring a 3-by-3 matrix \c m which is initialized using the \link DenseBase::Random(Index,Index) Random() \endlink method with random values between -1 and 1. The next line applies a linear mapping such that the values are between 10 and 110. The function call \link DenseBase::Constant(Index,Index,const Scalar&) MatrixXd::Constant\endlink(3,3,1.2) returns a 3-by-3 matrix expression having all coefficients equal to 1.2. The rest is standard arithmetics.
+The second example starts by declaring a 3-by-3 matrix \c m which is initialized using the \link DenseBase::Random(Index,Index) Random() \endlink method with random values between -1 and 1. The next line applies a linear mapping such that the values are between 10 and 110. The function call \link DenseBase::Constant(Index,Index,const Scalar&) MatrixXd::Constant\endlink(3,3,1.2) returns a 3-by-3 matrix expression having all coefficients equal to 1.2. The rest is standard arithmetic.
 
 The next line of the \c main function introduces a new type: \c VectorXd. This represents a (column) vector of arbitrary size. Here, the vector \c v is created to contain \c 3 coefficients which are left uninitialized. The one but last line uses the so-called comma-initializer, explained in \ref TutorialAdvancedInitialization, to set all coefficients of the vector \c v to be as follows:
 
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h b/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
index b47fa9e8e..8c0644925 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorChipping.h
@@ -244,7 +244,7 @@ struct TensorEvaluator<const TensorChippingOp<DimId, ArgType>, Device>
       return rslt;
     } else if ((static_cast<int>(Layout) == static_cast<int>(ColMajor) && m_dim.actualDim() == NumInputDims - 1) ||
          (static_cast<int>(Layout) == static_cast<int>(RowMajor) && m_dim.actualDim() == 0)) {
-      // m_stride is aways greater than index, so let's avoid the integer division.
+      // m_stride is always greater than index, so let's avoid the integer division.
       eigen_assert(m_stride > index);
       return m_impl.template packet<LoadMode>(index + m_inputOffset);
     } else {
@@ -377,7 +377,7 @@ struct TensorEvaluator<const TensorChippingOp<DimId, ArgType>, Device>
       inputIndex = index * m_inputStride + m_inputOffset;
     } else if ((static_cast<int>(Layout) == static_cast<int>(ColMajor) && m_dim.actualDim() == NumInputDims - 1) ||
                (static_cast<int>(Layout) == static_cast<int>(RowMajor) && m_dim.actualDim() == 0)) {
-      // m_stride is aways greater than index, so let's avoid the integer
+      // m_stride is always greater than index, so let's avoid the integer
       // division.
       eigen_assert(m_stride > index);
       inputIndex = index + m_inputOffset;
@@ -462,7 +462,7 @@ struct TensorEvaluator<TensorChippingOp<DimId, ArgType>, Device>
       }
     } else if ((static_cast<int>(this->Layout) == static_cast<int>(ColMajor) && this->m_dim.actualDim() == NumInputDims-1) ||
          (static_cast<int>(this->Layout) == static_cast<int>(RowMajor) && this->m_dim.actualDim() == 0)) {
-      // m_stride is aways greater than index, so let's avoid the integer division.
+      // m_stride is always greater than index, so let's avoid the integer division.
       eigen_assert(this->m_stride > index);
       this->m_impl.template writePacket<StoreMode>(index + this->m_inputOffset, x);
     } else {
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceGpu.h b/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceGpu.h
index b490433db..83cde6afb 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceGpu.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceGpu.h
@@ -12,7 +12,7 @@
 
 // This header file container defines fo gpu* macros which will resolve to
 // their equivalent hip* or cuda* versions depending on the compiler in use
-// A separte header (included at the end of this file) will undefine all 
+// A separate header (included at the end of this file) will undefine all 
 #include "TensorGpuHipCudaDefines.h"
 
 namespace Eigen {
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h b/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
index 04a8b953d..09b7c994b 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorForwardDeclarations.h
@@ -25,9 +25,9 @@ template<typename T> struct MakePointer {
 };
 
 // The PointerType class is a container of the device specefic pointer
-// used for refering to a Pointer on TensorEvaluator class. While the TensorExpression
+// used for referring to a Pointer on TensorEvaluator class. While the TensorExpression
 // is a device-agnostic type and need MakePointer class for type conversion,
-// the TensorEvaluator calss can be specialized for a device, hence it is possible
+// the TensorEvaluator calls can be specialized for a device, hence it is possible
 // to construct different types of temproray storage memory in TensorEvaluator
 // for different devices by specializing the following PointerType class.
 template<typename T, typename Device> struct PointerType : MakePointer<T>{};
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorGpuHipCudaDefines.h b/unsupported/Eigen/CXX11/src/Tensor/TensorGpuHipCudaDefines.h
index 5438ebe71..40f58f628 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorGpuHipCudaDefines.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorGpuHipCudaDefines.h
@@ -16,7 +16,7 @@
 // for some reason gets sent to the gcc/host compiler instead of the gpu/nvcc/hipcc compiler
 // When compiling such files, gcc will end up trying to pick up the CUDA headers by 
 // default (see the code within "unsupported/Eigen/CXX11/Tensor" that is guarded by EIGEN_USE_GPU)
-// This will obsviously not work when trying to compile tensorflow on a sytem with no CUDA
+// This will obsviously not work when trying to compile tensorflow on a system with no CUDA
 // To work around this issue for HIP systems (and leave the default behaviour intact), the
 // HIP tensorflow build defines EIGEN_USE_HIP when compiling all source files, and 
 // "unsupported/Eigen/CXX11/Tensor" has been updated to use HIP header when EIGEN_USE_HIP is
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
index 2c69e4fd4..bda114751 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
@@ -965,7 +965,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType, MakePointer_>,
           }
         }
 
-        // Intialize output coefficient reducers.
+        // Initialize output coefficient reducers.
         for (int i = 0; i < num_reducers; ++i) {
           new (&reducers[i]) BlockReducer(m_reducer);
         }
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
index 375c570b3..0718ba2a1 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
@@ -771,7 +771,7 @@ struct OuterReducer<Self, Op, GpuDevice> {
     // terminate called after throwing an instance of 'std::runtime_error'
     //   what():  No device code available for function: _ZN5Eigen8internal20OuterReductionKernelIL...
     //
-    // dont know why this happens (and why is it a runtime error instead of a compile time errror)
+    // don't know why this happens (and why is it a runtime error instead of a compile time error)
     //
     // this will be fixed by HIP PR#457
     EIGEN_DEVICE_FUNC
diff --git a/unsupported/test/cxx11_tensor_concatenation.cpp b/unsupported/test/cxx11_tensor_concatenation.cpp
index e223d9ffd..bb9418d33 100644
--- a/unsupported/test/cxx11_tensor_concatenation.cpp
+++ b/unsupported/test/cxx11_tensor_concatenation.cpp
@@ -50,7 +50,7 @@ static void test_static_dimension_failure()
       .reshape(Tensor<int, 3>::Dimensions(2, 3, 1))
       .concatenate(right, 0);
   Tensor<int, 2, DataLayout> alternative = left
-   // Clang compiler break with {{{}}} with an ambigous error on copy constructor
+   // Clang compiler break with {{{}}} with an ambiguous error on copy constructor
   // the variadic DSize constructor added for #ifndef EIGEN_EMULATE_CXX11_META_H.
   // Solution:
   // either the code should change to 
diff --git a/unsupported/test/cxx11_tensor_executor.cpp b/unsupported/test/cxx11_tensor_executor.cpp
index aa789c2e4..18c87b35e 100644
--- a/unsupported/test/cxx11_tensor_executor.cpp
+++ b/unsupported/test/cxx11_tensor_executor.cpp
@@ -433,7 +433,7 @@ static void test_execute_slice_lvalue(Device d)
   Tensor<T, NumDims, Options, Index> slice(slice_size);
   slice.setRandom();
 
-  // Asign a slice using default executor.
+  // Assign a slice using default executor.
   Tensor<T, NumDims, Options, Index> golden = src;
   golden.slice(slice_start, slice_size) = slice;