Update headers

CMakeLists.txt

@@ -8,7 +8,7 @@ set(CMAKE_C_COMPILER "/usr/bin/clang-18")
 set(CMAKE_CUDA_FLAGS -allow-unsupported-compiler)
 
 project(cupybara 
-	VERSION 1.0.0
+	VERSION 1.0.1
 	LANGUAGES CXX C CUDA
 )
 
@@ -36,4 +36,4 @@ target_link_libraries(cupybara PRIVATE cublas)
 
 target_compile_options(cupybara PUBLIC -O3)
 
-include(cmake/installation.cmake)
+include(cmake/installation.cmake)

README.md

@@ -6,7 +6,7 @@
 ## Installation
 - Download the latest release of Cupybara using the release tab on the right
 - Cd to the directory the wheel was downloaded
-- Run `sudo pip install --force-reinstall cupybara-1.0.0-py3-none-any.whl`
+- Run `sudo pip install --force-reinstall cupybara-1.0.1-py3-none-any.whl`
 
 ## Performance
 **Performance Measured On 1000x1000 Matrices**

build.sh

@@ -5,4 +5,4 @@ cmake --install build
 cd package/
 python3 -m build
 cd dist
-sudo pip install --force-reinstall cupybara-1.0.0-py3-none-any.whl
+sudo pip install --force-reinstall cupybara-1.0.1-py3-none-any.whl

package/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "cupybara"
-version = "1.0.0"
+version = "1.0.1"
 authors = [
   { name="jbrhm", email="[email protected]" },
 ]
@@ -22,4 +22,4 @@ requires = [
     "hatchling",
     "numpy"
 ]
-build-backend = "hatchling.build"
+build-backend = "hatchling.build"

src/cupybara.py

@@ -2,7 +2,7 @@
 
 import numpy as np
 
-from cupybara_jbrhm.cupybara_paths import CupybaraPaths
+from cupybara.cupybara_paths import CupybaraPaths
 
 lib = CDLL(CupybaraPaths.cupybara_libs) 
 
@@ -65,4 +65,4 @@ def sync(self):
     # Overloaded Matrix Multiplication
     @staticmethod
     def multiply(A, B, C):
-        lib.multiply(A.matrix, B.matrix, C.matrix)
+        lib.multiply(A.matrix, B.matrix, C.matrix)

testing/pytorch.py

@@ -1,7 +1,7 @@
 # Tell Python interpreter where cupybara is for testing
 import sys
 #sys.path.insert(0, '/home/john/Desktop/PersonalProjects/CudaLibrary/package/cupybara_jbrhm')
-from cupybara_jbrhm.cupybara import Matrix
+from cupybara.cupybara import Matrix
 
 # Regular imports
 import torch
@@ -46,4 +46,4 @@ class Backends(Enum):
 
 GFLOPS = ((2 * SIZE * SIZE * SIZE) / (end - begin)) * 1e-9; 
 
-print(f"Pytorch had {GFLOPS} GFLOPS")
+print(f"Pytorch had {GFLOPS} GFLOPS")