1 files changed, 13 insertions, 13 deletions
diff --git a/nerv/matrix/init.lua b/nerv/matrix/init.lua
index 5d0544a..b84d735 100644
--- a/nerv/matrix/init.lua
+++ b/nerv/matrix/init.lua
@@ -102,21 +102,21 @@ function nerv.Matrix:__mul__(b)
     return c
 end
 
---- A wrapper function for `copy_from`
+--- A wrapper function for `copy_from`.
 function nerv.Matrix:copy_to(b, ...)
     b:copy_from(self, ...)
 end
 
---- The base class for all device (in-GPU) matrices
+--- The base class for all device (in-GPU) matrices.
 -- @type nerv.CuMatrix
 
---- A wrapper function for `copy_fromd`
+--- A wrapper function for `copy_fromd`.
 nerv.CuMatrix.copy_tod = nerv.Matrix.copy_to
 
---- CUDA float matrices
+--- CUDA float matrices.
 -- @type nerv.CuMatrixFloat
 
---- Create a CUDA matrix copy of the host matrix (in memory)
+--- Create a CUDA matrix copy of the host matrix (in memory).
 -- @param mat the host matrix
 function nerv.CuMatrixFloat.new_from_host(mat)
     local res = nerv.CuMatrixFloat(mat:nrow(), mat:ncol())
@@ -124,17 +124,17 @@ function nerv.CuMatrixFloat.new_from_host(mat)
     return res
 end
 
---- Create a host matrix copy of the CUDA matrix
+--- Create a host matrix copy of the CUDA matrix.
 function nerv.CuMatrixFloat:new_to_host()
     local res = nerv.MMatrixFloat(self:nrow(), self:ncol())
     self:copy_toh(res)
     return res
 end
 
---- CUDA double matrices
+--- CUDA double matrices.
 -- @type nerv.CuMatrixDouble
 
---- Create a CUDA matrix copy of the host matrix (in memory)
+--- Create a CUDA matrix copy of the host matrix (in memory).
 -- @param mat the host matrix
 function nerv.CuMatrixDouble.new_from_host(mat)
     local res = nerv.CuMatrixDouble(mat:nrow(), mat:ncol())
@@ -142,25 +142,25 @@ function nerv.CuMatrixDouble.new_from_host(mat)
     return res
 end
 
---- Create a host matrix copy of the CUDA matrix
+--- Create a host matrix copy of the CUDA matrix.
 function nerv.CuMatrixDouble:new_to_host()
     local res = nerv.MMatrixDouble(self:nrow(), self:ncol())
     self:copy_toh(res)
     return res
 end
 
---- The base class for all host (in-memory) matrices
+--- The base class for all host (in-memory) matrices.
 -- @type nerv.MMatrix
 
---- A wrapper function for `copy_fromh`
+--- A wrapper function for `copy_fromh`.
 nerv.MMatrix.copy_toh = nerv.Matrix.copy_to
 
---- A wrapper function for `nerv.CuMatrix` copy
+--- A wrapper function for `nerv.CuMatrix` copy.
 function nerv.MMatrix:copy_fromd(b, ...)
     b:copy_toh(self, ...)
 end
 
---- A wrapper function for `nerv.CuMatrix` copy
+--- A wrapper function for `nerv.CuMatrix` copy.
 function nerv.MMatrix:copy_tod(b, ...)
     b:copy_fromh(self, ...)
 end