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Feature: Passing arguments to NVCC compiler (#26)

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* Add option to give nvcc extra arguments

* Add test for nvcc options that changes c++ dialect from c++17 to c++14

* Add make and the english language pack to devcontainer to be able to build the documentation

* Update documentation config to automatically import the current version of the package

* Document new --compiler-args argument

* Improve tests coverage by testing for bad arguments and the error output during a failed compilation

* Add IPython to docs requirements to allow the __version__ import for readthedocs env

* Change devcontainer base image to have the latest CUDA toolkit

* Mock the nsight compute tool with a bash script

* Add test to compile with opencv

* Add new page to documentation that contains a new notebook that explains compiling with external libraries

* Add autodocstring vscode extension to devcontainer

* Add function that modifies the default profiler/compiler arguments to allow reusing them in multiple magic command calls

* Update pylint exceptions

* Update contributing instructions

* Change version from 1.0.3 to 1.1.0 due to adding features in a backward-compatible manner

* Install latest CUDA toolkit on the test runner to pass the OpenCV compilation test

* Install opencv in test runner and update code coverage install

* Add CUDA bin to PATH in test and coverage runners

* Add cuda bin to path variable in .bashrc

* Update way to set environment variable PATH in github action

* Change devcontainer base image back to ubuntu:22.04 to match the environment from the test runner
This commit is contained in:
Cosmin Ștefan Ciocan
2024-02-12 17:29:26 +01:00
committed by GitHub
parent 5cd225851b
commit 781ff5b76b
19 changed files with 424 additions and 51 deletions
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README.md
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@@ -46,6 +46,7 @@ Here are just a few of the things that nvcc4jupyter does well:
- [Easily run CUDA C++ code](https://nvcc4jupyter.readthedocs.io/en/latest/usage.html#hello-world)
- [Profile your code with NVIDIA Nsight Compute](https://nvcc4jupyter.readthedocs.io/en/latest/usage.html#profiling)
- [Compile your code with external libraries (e.g. OpenCV)](https://nvcc4jupyter.readthedocs.io/en/latest/notebooks.html#compiling-with-external-libraries)
- [Share code between different programs in the same notebook / split your code into multiple files for improved readability](https://nvcc4jupyter.readthedocs.io/en/latest/usage.html#groups)
## Install
@@ -88,13 +89,14 @@ The official documentation is hosted on [readthedocs](https://nvcc4jupyter.readt
## Contributing
Install the package with the development dependencies:
The recommended setup for development is using the devcontainer in GitHub
Codespaces or locally in VSCode.
If not using the devcontainer you need to install the package with the
development dependencies and install the pre-commit hook before commiting any
changes:
```bash
pip install .[dev]
```
As a developer, make sure you install the pre-commit hook before commiting any changes:
```bash
pre-commit install
```