From 991cfdcbcc0f0de2fa51a792d541b3aba2370d90 Mon Sep 17 00:00:00 2001
From: Alejandro Saucedo <axsauze@gmail.com>
Date: Mon, 2 Nov 2020 21:57:10 +0000
Subject: [PATCH] Updated to use kp instead of komputepy for module name

---
 docs/conf.py                     |  2 +-
 docs/overview/python-package.rst | 10 +++++-----
 python/src/main.cpp              |  2 +-
 python/test/test_kompute.py      |  2 +-
 setup.py                         |  6 +++---
 5 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/docs/conf.py b/docs/conf.py
index 2daab88..f1255e3 100755
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -18,7 +18,7 @@
 # -- Project information -----------------------------------------------------
 import sys
 import os
-import komputepy
+import kp
 
 project = 'Vulkan Kompute'
 copyright = '2020, The Institute for Ethical AI & Machine Learning'
diff --git a/docs/overview/python-package.rst b/docs/overview/python-package.rst
index 92dc8ca..0a8eb7a 100644
--- a/docs/overview/python-package.rst
+++ b/docs/overview/python-package.rst
@@ -12,9 +12,9 @@ Below is a diagram that provides insights on the relationship between Vulkan Kom
 Manager
 -------
 
-The Kompute Manager provides a high level interface to simplify interaction with underlying :class:`komputepy.Sequence` of Operations.
+The Kompute Manager provides a high level interface to simplify interaction with underlying :class:`kp.Sequence` of Operations.
 
-.. autoclass:: komputepy.Manager
+.. autoclass:: kp.Manager
    :members:
 
 
@@ -23,7 +23,7 @@ Sequence
 
 The Kompute Sequence consists of batches of Kompute Operations, which are executed on a respective GPU queue. The execution of sequences can be synchronous or asynchronous, and it can be coordinated through its respective Vulkan Fence.
 
-.. autoclass:: komputepy.Sequence
+.. autoclass:: kp.Sequence
    :members:
 
 
@@ -32,13 +32,13 @@ Tensor
 
 The Kompute Tensor is the atomic unit in Kompute, and it is used primarily for handling Host and GPU Device data.
 
-.. autoclass:: komputepy.Tensor
+.. autoclass:: kp.Tensor
    :members:
 
 
 TensorType
 -------
 
-.. automodule:: komputepy
+.. automodule:: kp
    :members:
 
diff --git a/python/src/main.cpp b/python/src/main.cpp
index 34a0e6b..0f10ea3 100644
--- a/python/src/main.cpp
+++ b/python/src/main.cpp
@@ -5,7 +5,7 @@
 
 namespace py = pybind11;
 
-PYBIND11_MODULE(komputepy, m) {
+PYBIND11_MODULE(kp, m) {
 
     py::enum_<kp::Tensor::TensorTypes>(m, "TensorTypes", "Enum with GPU memory types for Tensor.")
         .value("device", kp::Tensor::TensorTypes::eDevice, "Tensor holding data in GPU memory.")
diff --git a/python/test/test_kompute.py b/python/test/test_kompute.py
index 7b85de4..43baf77 100644
--- a/python/test/test_kompute.py
+++ b/python/test/test_kompute.py
@@ -1,5 +1,5 @@
 
-from komputepy import Tensor, Manager, Sequence
+from kp import Tensor, Manager, Sequence
 
 def test_opmult():
     """
diff --git a/setup.py b/setup.py
index e09673a..0b5db2f 100644
--- a/setup.py
+++ b/setup.py
@@ -65,12 +65,12 @@ class CMakeBuild(build_ext):
         subprocess.check_call(['cmake', '--build', '.'] + build_args, cwd=self.build_temp)
 
 setup(
-    name='komputepy',
+    name='kp',
     version='0.0.1',
     author='Alejandro Saucedo',
-    description='Blazing fast, mobile-enabled, asynchronous, and optimized for advanced GPU processing usecases.',
+    description='Vulkan Kompute: Blazing fast, mobile-enabled, asynchronous, and optimized for advanced GPU processing usecases.',
     long_description='',
-    ext_modules=[CMakeExtension('komputepy')],
+    ext_modules=[CMakeExtension('kp')],
     cmdclass=dict(build_ext=CMakeBuild),
     zip_safe=False,
 )