Add project description

.github/workflows/build-and-test.yml

@@ -158,10 +158,9 @@ jobs:
           $CHOWN -R $(whoami) ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}
           ls -lahR ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}
 
-      # TODO: enable this after NVIDIA/cuda-python#297 is resolved
-      # - name: Check cuda.bindings wheel
-      #   run: |
-      #     twine check ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}/*.whl
+      - name: Check cuda.bindings wheel
+        run: |
+          twine check ${{ env.CUDA_BINDINGS_ARTIFACTS_DIR }}/*.whl
 
       - name: Upload cuda.bindings build artifacts
         uses: actions/upload-artifact@v4

README.md

@@ -37,3 +37,9 @@ The list of available interfaces are:
 * CUDA Runtime
 * NVRTC
 * nvJitLink
+
+## Supported Python Versions
+
+All `cuda-python` subpackages follows [NEP 29](https://numpy.org/neps/nep-0029-deprecation_policy.html) for supported Python version guarantee.
+
+Before dropping support, an issue will be raised for an advanced notice.

cuda_bindings/DESCRIPTION.rst

@@ -0,0 +1,26 @@
+*******************************************************
+cuda.bindings: Low-level CUDA interfaces
+*******************************************************
+
+`cuda.bindings` is a standard set of low-level interfaces, providing full coverage of and access to the CUDA host APIs from Python. Checkout the [Overview](https://nvidia.github.io/cuda-python/cuda-bindings/latest/overview.html) for the workflow and performance results.
+
+Installation
+============
+
+`cuda.bindings` can be installed from:
+
+* PyPI
+* Conda (conda-forge/nvidia channels)
+* Source builds
+
+Differences between these options are described in [Installation](https://nvidia.github.io/cuda-python/cuda-bindings/latest/install.html) documentation. Each package guarantees minor version compatibility.
+
+Runtime Dependencies
+====================
+
+`cuda.bindings` is supported on all the same platforms as CUDA. Specific dependencies are as follows:
+
+* Driver: Linux (450.80.02 or later) Windows (456.38 or later)
+* CUDA Toolkit 12.x
+
+Only the NVRTC and nvJitLink redistributable components are required from the CUDA Toolkit, which can be obtained via PyPI, Conda, or local installers (as described in the CUDA Toolkit [Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) and [Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html) Installation Guides).

cuda_bindings/README.md

@@ -6,7 +6,7 @@
 
 ## Installing
 
-CUDA Python can be installed from:
+`cuda.bindings` can be installed from:
 
 * PyPI
 * Conda (conda-forge/nvidia channels)
@@ -16,23 +16,13 @@ Differences between these options are described in [Installation](https://nvidia
 
 ## Runtime Dependencies
 
-CUDA Python is supported on all platforms that CUDA is supported. Specific dependencies are as follows:
+`cuda.bindings` is supported on all the same platforms as CUDA. Specific dependencies are as follows:
 
 * Driver: Linux (450.80.02 or later) Windows (456.38 or later)
 * CUDA Toolkit 12.x
 
 Only the NVRTC and nvJitLink redistributable components are required from the CUDA Toolkit, which can be obtained via PyPI, Conda, or local installers (as described in the CUDA Toolkit [Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) and [Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html) Installation Guides).
 
-### Supported Python Versions
-
-CUDA Python follows [NEP 29](https://numpy.org/neps/nep-0029-deprecation_policy.html) for supported Python version guarantee.
-
-Before dropping support, an issue will be raised to look for feedback.
-
-Source builds work for multiple Python versions, however pre-build PyPI and Conda packages are only provided for a subset:
-
-* Python 3.9 to 3.12
-
 ## Developing
 
 We use `pre-commit` to manage various tools to help development and ensure consistency.

cuda_bindings/pyproject.toml

@@ -27,7 +27,10 @@ classifiers = [
     "Programming Language :: Python :: 3.12",
     "Environment :: GPU :: NVIDIA CUDA",
 ]
-dynamic = ["version"]
+dynamic = [
+    "version",
+    "readme",
+]
 dependencies = [
   "pywin32; sys_platform == 'win32'",
 ]
@@ -47,6 +50,7 @@ include = ["cuda*"]
 
 [tool.setuptools.dynamic]
 version = { attr = "cuda.bindings._version.__version__" }
+readme = { file = ["DESCRIPTION.rst"], content-type = "text/x-rst" }
 
 [tool.ruff]
 line-length = 120

cuda_core/README.md

@@ -4,7 +4,7 @@ Currently under active development; see [the documentation](https://nvidia.githu
 
 ## Installing
 
-TO build from source, just do:
+To build from source, just do:
 ```shell
 $ git clone https://github.com/NVIDIA/cuda-python
 $ cd cuda-python/cuda_core  # move to the directory where this README locates