The Intel® oneAPI Deep Neural Network Library(oneDNN) is a performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel® Architecture Processors and Intel® Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. oneDNN provides a SYCL* extensions API for CPU and GPU.
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Release files for onednn-devel-cpu-dpcpp-gpu-dpcpp 2023.2.0
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Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| onednn_devel_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-win_amd64.whl | Python 3, Python 2 | none | Windows x86-64 | Details |
| onednn_devel_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl | Python 2, Python 3 | none | Linux glibc 2.5+ x86-64 | Details |
Total release size: 399.2 kB
Release files / onednn_devel_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-win_amd64.whl
| Download URL | onednn_devel_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-win_amd64.whl |
|---|---|
| Size | 207.6 kB |
| Tags | Python 2 Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Release files / onednn_devel_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl
| Download URL | onednn_devel_cpu_dpcpp_gpu_dpcpp-2023.2.0-py2.py3-none-manylinux1_x86_64.whl |
|---|---|
| Size | 191.7 kB |
| Tags | Linux glibc 2.5+ x86-64 Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.5 CPython/3.10.6
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