diff --git a/MANIFEST.in b/MANIFEST.in index afcafe01..eed0e389 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,6 +1,6 @@ include AUTHORS CHANGES INSTALL LICENSE README.rst tox.ini recursive-include skcuda *.py -recursive-include scikits *.h +recursive-include skcuda *.h recursive-include demos *.py recursive-include tests *.py recursive-include docs * diff --git a/README.rst b/README.rst index 5f65f31a..763ad8c6 100644 --- a/README.rst +++ b/README.rst @@ -1,6 +1,6 @@ .. -*- rst -*- -.. image:: https://raw.githubusercontent.com/lebedov/scikits.cuda/master/docs/source/_static/logo.png +.. image:: https://raw.githubusercontent.com/lebedov/scikit-cuda/master/docs/source/_static/logo.png :alt: CUDA SciKit Package Description @@ -39,7 +39,7 @@ Package documentation is available at Development ----------- The latest source code can be obtained from -``_. +``_. Authors & Acknowledgments ------------------------- diff --git a/docs/source/install.rst b/docs/source/install.rst index 87e7ad8e..c0e6d2f1 100644 --- a/docs/source/install.rst +++ b/docs/source/install.rst @@ -17,7 +17,7 @@ not already on your system. Obtaining the Latest Software ----------------------------- The latest stable and development versions of ``scikits.cuda`` can be downloaded -from `GitHub `_ +from `GitHub `_ Online documentation for ``scikits.cuda`` is available at ``_ @@ -95,9 +95,9 @@ directly. Getting Started --------------- The functions provided by ``scikits.cuda`` are grouped into several submodules -in the ``scikits.cuda`` namespace package. The ``skcuda`` namespace package is -also provided as a shortcut to ``scikits.cuda``. Sample code demonstrating how -to use different parts of the toolbox is +in the ``skcuda`` namespace package. The ``scikits.cuda`` namespace package is +also provided as a shortcut to ``skcuda``. Sample code demonstrating how to use +different parts of the toolbox is located in the ``demos/`` subdirectory of the source release. Many of the high-level functions also contain doctests that describe their usage. diff --git a/setup.py b/setup.py index fa7c1658..b83ffa7b 100644 --- a/setup.py +++ b/setup.py @@ -19,7 +19,7 @@ VERSION = '0.5.0b3' AUTHOR = 'Lev Givon' AUTHOR_EMAIL = 'lev@columbia.edu' -URL = 'https://github.com/lebedov/scikits.cuda/' +URL = 'https://github.com/lebedov/scikit-cuda/' DESCRIPTION = 'Python interface to GPU-powered libraries' LONG_DESCRIPTION = DESCRIPTION DOWNLOAD_URL = URL diff --git a/skcuda/integrate.py b/skcuda/integrate.py index 105a12b1..f1729943 100644 --- a/skcuda/integrate.py +++ b/skcuda/integrate.py @@ -61,7 +61,7 @@ def trapz(x_gpu, dx=1.0, handle=None): Spacing. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -210,7 +210,7 @@ def trapz2d(x_gpu, dx=1.0, dy=1.0, handle=None): Y-axis spacing handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- diff --git a/skcuda/linalg.py b/skcuda/linalg.py index b234bb73..6d5def87 100644 --- a/skcuda/linalg.py +++ b/skcuda/linalg.py @@ -412,7 +412,7 @@ def add_dot(a_gpu, b_gpu, c_gpu, transa='N', transb='N', alpha=1.0, beta=1.0, ha If 'C', compute the product of the Hermitian of `b_gpu`. handle : int (optional) CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -545,7 +545,7 @@ def dot(x_gpu, y_gpu, transa='N', transb='N', handle=None, out=None): If 'C', compute the product of the Hermitian of `y_gpu`. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. out : pycuda.gpuarray.GPUArray, optional Output argument. Will be used to store the result. @@ -646,7 +646,7 @@ def mdot(*args, **kwargs): Arrays to multiply. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -713,7 +713,7 @@ def dot_diag(d_gpu, a_gpu, trans='N', overwrite=False, handle=None): If true, save the result in `a_gpu`. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -804,7 +804,7 @@ def add_diag(d_gpu, a_gpu, overwrite=False, handle=None): If true, save the result in `a_gpu`. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -899,7 +899,7 @@ def transpose(a_gpu, handle=None): Transposed matrix of shape `(n, m)`. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Examples -------- @@ -936,7 +936,7 @@ def hermitian(a_gpu, handle=None): Input matrix of shape `(m, n)`. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -1358,7 +1358,7 @@ def tril(a_gpu, overwrite=False, handle=None): If false, return the result in a newly allocated matrix. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.cuda.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -1511,7 +1511,7 @@ def norm(x_gpu, handle=None): Input array. handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -1573,7 +1573,7 @@ def scale(alpha, x_gpu, alpha_real=False, handle=None): the corresponding complex type.) handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Examples -------- @@ -1679,7 +1679,7 @@ def trace(x_gpu, handle=None): handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. Returns ------- @@ -1732,7 +1732,7 @@ def det(a_gpu, overwrite=False, ipiv_gpu=None, handle=None): Discard data in `a` (may improve performance). handle : int CUBLAS context. If no context is specified, the default handle from - `scikits.misc._global_cublas_handle` is used. + `skcuda.misc._global_cublas_handle` is used. ipiv_gpu : pycuda.gpuarray.GPUArray (optional) Temporary array of size n, can be supplied to save allocations.