[Project] Release 1.2.0

Author: EgorOrachyov

.github/workflows/ubuntu.yml

@@ -23,6 +23,7 @@ jobs:
     env:
       build_dir: "build"
       config: "Release"
+      artifact: "cubool-ubuntu-build.tar.xz"
 
     steps:
       - uses: actions/checkout@v2
@@ -69,3 +70,13 @@ jobs:
         working-directory: ${{ env.build_dir }}/python
         run: bash run_tests.sh
         shell: bash
+
+      - name: Prepare upload binary
+        shell: bash
+        run: tar cfz ${{ env.artifact }} ${{ env.build_dir }}
+
+      - name: Upload binary
+        uses: actions/upload-artifact@v2
+        with:
+          name: ${{ env.artifact }}
+          path: ${{ env.artifact }}

CHANGELOG.md

@@ -3,7 +3,19 @@
 All notable changes to this project are documented in this file.
 Changes format: version name and date, minor notes, new features, fixes, what removed.
 
-Release are available at [link](https://github.com/JetBrains-Research/cuBool/releases). 
+Releases are available at [link](https://github.com/JetBrains-Research/cuBool/releases). 
+
+## v1.2.0 - June 11, 2021
+
+### Summary 
+
+Python-package update: support backend type and memory type selection within
+package by environment variables. Update docs, add performance comparison section.
+
+#### New features
+
+- Backend type config in pycubool
+- GPU memory type config in pycubool
 
 ## v1.1.0 - May 8, 2021
 

README.md

@@ -5,7 +5,7 @@
 [![JB Research](https://jb.gg/badges/research-flat-square.svg)](https://research.jetbrains.org/)
 [![Ubuntu](https://github.com/JetBrains-Research/cuBool/workflows/Ubuntu/badge.svg?branch=master)](https://github.com/JetBrains-Research/cuBool/actions)
 [![License](https://img.shields.io/badge/license-MIT-orange)](https://github.com/JetBrains-Research/cuBool/blob/master/LICENSE)
-[![Package](https://img.shields.io/badge/pypi%20package-1.1.0-%233776ab)](https://pypi.org/project/pycubool/)
+[![Package](https://img.shields.io/badge/pypi%20package-1.2.0-%233776ab)](https://pypi.org/project/pycubool/)
 
 **cuBool** is a linear Boolean algebra library primitives and operations for 
 work with sparse matrices written on the NVIDIA CUDA platform. The primary 
@@ -50,7 +50,7 @@ prototyping algorithms on a local computer for later running on a powerful serve
 
 ### Platforms
 
-- Linux based OS (tested on Ubuntu 20.04)
+- Linux-based OS (tested on Ubuntu 20.04)
 - Windows (coming soon)
 - macOS (coming soon)
 

cubool/sources/cuda/kernels/spgemv.cuh

@@ -147,9 +147,8 @@ namespace cubool {
                 static constexpr size_t max = std::numeric_limits<size_t>::max();
 
                 auto M = m.m_rows;
-                auto N = m.m_cols;
 
-                assert(N == v.m_rows);
+                assert(m.m_cols == v.m_rows);
 
                 // Empty result case
                 if (v.m_vals == 0 || m.m_vals == 0)

python/setup.py

@@ -20,7 +20,7 @@
 
 setuptools.setup(
     name="pycubool",
-    version="1.1.0",
+    version="1.2.0",
     author="Egor Orachyov",
     author_email="[email protected]",
     license="MIT",