dpcpp-cpp-rt

library2026.0.0pypypiunverified

The `dpcpp-cpp-rt` package provides the essential runtime libraries and components for applications compiled with the Intel® oneAPI DPC++/C++ Compiler. It is a critical dependency for Python libraries like `dpctl` and `numba-dppy` that leverage SYCL for heterogeneous computing. This package primarily provides shared objects and header files, not directly imported Python modules. It aligns with the Intel oneAPI release cadence, typically receiving annual major updates and more frequent minor revisions.

ai-ml data

pip install dpcpp-cpp-rt

package ↗homepage ↗

INSTALL

IMPORT

SIG · DPCPP-CPP-RT

dpcpp-cpp-rt

ai-mlpythonv2026.0.0

Install

16.9s avg

Import

—

Disk

16MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2026.0.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

build_error

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 16.9s · import 0.000s · 19MB

16MB installed

● package 16MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

No direct Python imports

✓ This package provides runtime components for C++/SYCL, not Python modules for direct import.

Users often mistake this for a Python library that can be imported directly. It's a foundational runtime for other Python packages (e.g., dpctl) that expose SYCL capabilities.

The `dpcpp-cpp-rt` package provides the underlying runtime for SYCL-enabled applications. It does not have direct Python imports. Instead, Python libraries like `dpctl` (Data Parallel Control Library) leverage its presence. This example shows how `dpctl` would interact with the SYCL runtime that `dpcpp-cpp-rt` enables. Ensure your oneAPI environment is sourced before running Python code that uses SYCL.

import os # This package is a runtime, not directly imported. # Its presence allows other Python packages (like dpctl) to function. # Example using dpctl, which relies on dpcpp-cpp-rt: try: import dpctl print("dpctl successfully imported.") # Try to find a SYCL device try: device = dpctl.select_default_device() print(f"Selected SYCL device: {device.name}") except Exception as e: print(f"Could not select SYCL device. Ensure SYCL_DEVICE_FILTER is set if needed. Error: {e}") print("Make sure oneAPI environment is sourced and DPC++ runtime is configured correctly.") except ImportError: print("dpctl is not installed. This quickstart demonstrates usage of a library that depends on dpcpp-cpp-rt.") print("Install with: pip install dpctl") # You would typically set environment variables before running Python code # For example, to filter devices: # os.environ['SYCL_DEVICE_FILTER'] = 'opencl:gpu,cpu'

Debug

Known issues

gotchaThe `dpcpp-cpp-rt` package is a runtime dependency, not a Python library with modules intended for direct `import`. Attempting to `import dpcpp-cpp-rt` will result in a `ModuleNotFoundError`.

fix

Do not attempt to import `dpcpp-cpp-rt` directly. Instead, ensure it is installed, and then use Python libraries that depend on it (e.g., `dpctl`, `numba-dppy`).

affects: All versions

breakingIncorrect or incomplete environment setup (e.g., `PATH`, `LD_LIBRARY_PATH` on Linux, `DYLD_LIBRARY_PATH` on macOS) can prevent dependent applications from finding the DPC++ runtime libraries, leading to linker errors or device discovery failures.

fix

Always source the oneAPI `setvars.sh` (Linux/macOS) or `setvars.bat` (Windows) script from your oneAPI installation (`<install_dir>/oneapi/setvars.sh`) before running DPC++ or SYCL applications, including Python scripts that use libraries like `dpctl`.

affects: All versions

gotchaVersion mismatches between `dpcpp-cpp-rt` and other oneAPI components (like the DPC++ compiler, `dpctl`, `numba-dppy`) can lead to unexpected runtime errors or instability. It's recommended to maintain a consistent oneAPI installation.

fix

Install all oneAPI components from the same major release and, ideally, the same minor update. When using `pip` or `conda`, ensure your environment matches the oneAPI installation version used for development.

affects: All versions

Upgrade

Version history

2026.0.0latest on PyPI · released Apr 24, 2026

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Resources

packagehttps://pypi.org/project/dpcpp-cpp-rt/ ↗

homepagehttps://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compiler.html ↗