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Diffstat (limited to 'doc/nerv_matrix.md')
| -rw-r--r-- | doc/nerv_matrix.md | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/doc/nerv_matrix.md b/doc/nerv_matrix.md index f1986a5..00356c3 100644 --- a/doc/nerv_matrix.md +++ b/doc/nerv_matrix.md @@ -17,17 +17,17 @@ typedef struct Matrix { long *data_ref; } Matrix; ``` -It is worth mentioning that that `data_ref` is a counter which counts the number of references to its memory space, mind that it will also be increased when a row of the matrix is referenced(`col = m[2]`). A __Nerv__ matrix will deallocate its space when this counter is decreased to zero. +It is worth mentioning that that `data_ref` is a counter which counts the number of references to its memory space, mind that it will also be increased when a row of the matrix is referenced(`col = m[2]`). A __Nerv__ matrix will deallocate its space when this counter is decreased to zero. Also note that all assigning operation in __Nerv__ is reference copy, you can use `copy_tod` or `copy_toh` method to copy value. Also, row assigning operations like `m1[2]=m2[3]` is forbidden in __Nerv__. ###Class hierarchy### -The class hierarchy of the matrix classes can be clearly observed in `matrix/init.c`. +The class hierarchy of the matrix classes can be clearly observed in `matrix/init.c`. First there is a abstract base class __Nerv.Matrix__, which is inherited by __Nerv.CuMatrix__ and __Nerv.MMatrix__(also abstract). Finally, there is __Nerv.CuMatrixFloat__, __Nerv.CuMatrixDouble__, inheriting __Nerv.CuMatrix__, and __Nerv.MMatrixFloat__, __Nerv.MMatrixDouble__, inheriting __Nerv.MMatrix__. ##Methods## Mind that usually a matrix object can only do calculation with matrix of its own type(a __Nerv.CuMatrixFloat__ matrix can only do add operation with a __Nerv.CuMatrixFloat__). -In the methods description below, __Matrix__ could be __Nerv.CuMatrixFloat__, __Nerv.CuMatrixDouble__, __Nerv.MMatrixFloat__ or __Nerv.MMatrixDouble__. __Element_type__ could be `float` or `double`, respectively. +In the methods description below, __Matrix__ could be __Nerv.CuMatrixFloat__, __Nerv.CuMatrixDouble__, __Nerv.MMatrixFloat__ or __Nerv.MMatrixDouble__. __Element_type__ could be `float` or `double`, respectively. * __Matrix = Matrix(int nrow, int ncol)__ Returns a __Matrix__ object of `nrow` rows and `ncol` columns. * __Element_type = Matrix.get_elem(Matrix self, int index)__ @@ -75,4 +75,5 @@ Fill the content of __Matrix__ `self` to be `value`. Set the element of __Matrix__ `self` to be elementwise-sigmoid of `ma`. * __void Matrix.sigmoid_grad(Matrix self, Matrix err, Matrix output)__ Set the element of __Matrix__ `self`, to be `self[i][j]=err[i][j]*output[i][j]*(1-output[i][j])`. This function is used to propagate sigmoid layer error. - +* __void Matrix.softmax(Matrix self, Matrix a)__ +Calculate a row-by-row softmax of __Matrix__ `a` and save the result in `self`. |