Module matrix
Implements a fraction of matrix operations (methods) in Lua, while others are implemented in C extension.
Info:
- Author: Ted Yin
Class nerv.Matrix
| nerv.Matrix:__tostring__ () | Convert the matrix object to a string. |
| nerv.Matrix:generate (gen) | Assign each element in a matrix using the value returned by a callback gen. |
| nerv.Matrix:create (nrow, ncol) | Create a fresh new matrix of the same matrix type (as self). |
| nerv.Matrix:__add__ (b) | Operator overloading of +. |
| nerv.Matrix:__sub__ (b) | Operator overloading of -. |
| nerv.Matrix:__mul__ (b) | Operator overloading of *. |
Class nerv.CuMatrixFloat
| nerv.CuMatrixFloat.new_from_host (mat) | Create a CUDA matrix copy of the host matrix (in memory) |
| nerv.CuMatrixFloat:new_to_host () | Create a host matrix copy of the CUDA matrix |
Class nerv.CuMatrixDouble
| nerv.CuMatrixDouble.new_from_host (mat) | Create a CUDA matrix copy of the host matrix (in memory) |
| nerv.CuMatrixDouble:new_to_host () | Create a host matrix copy of the CUDA matrix |
Class nerv.MMatrix
| nerv.MMatrix:copy_toh (b, ...) | A wrapper function for copy_fromh |
| nerv.MMatrix.print_profile () | Print profiling info of host matrices |
| nerv.MMatrix.clear_profile () | Clear profiling info of host matrices |
Class nerv.Matrix
The base class for all matrices.
- nerv.Matrix:__tostring__ ()
- Convert the matrix object to a string.
- nerv.Matrix:generate (gen)
-
Assign each element in a matrix using the value returned by a callback
gen.Parameters:
- gen
the callback used to generated the values in the matrix, to which
the indices of row and column will be passed (e.g.,
gen(i, j))
- gen
the callback used to generated the values in the matrix, to which
the indices of row and column will be passed (e.g.,
- nerv.Matrix:create (nrow, ncol)
-
Create a fresh new matrix of the same matrix type (as
self).Parameters:
- nrow
optional, the number of rows in the created matrix if specified,
otherwise
self:nrow()will be used - ncol
optional, the number of columns in the created matrix if specified,
otherwise
self:ncol()will be used
- nrow
optional, the number of rows in the created matrix if specified,
otherwise
- nerv.Matrix:__add__ (b)
-
Operator overloading of
+.Parameters:
- b
- nerv.Matrix:__sub__ (b)
-
Operator overloading of
-.Parameters:
- b
- nerv.Matrix:__mul__ (b)
-
Operator overloading of
*.Parameters:
- b
Class nerv.CuMatrixFloat
CUDA float matrices
- nerv.CuMatrixFloat.new_from_host (mat)
-
Create a CUDA matrix copy of the host matrix (in memory)
Parameters:
- mat the host matrix
- nerv.CuMatrixFloat:new_to_host ()
- Create a host matrix copy of the CUDA matrix
Class nerv.CuMatrixDouble
CUDA double matrices
- nerv.CuMatrixDouble.new_from_host (mat)
-
Create a CUDA matrix copy of the host matrix (in memory)
Parameters:
- mat the host matrix
- nerv.CuMatrixDouble:new_to_host ()
- Create a host matrix copy of the CUDA matrix
Class nerv.MMatrix
The base class for all host (in-memory) matrices