{"id":20115404,"url":"https://github.com/amperecomputingai/onednn","last_synced_at":"2025-03-02T19:19:09.324Z","repository":{"id":109683988,"uuid":"608395120","full_name":"AmpereComputingAI/oneDNN","owner":"AmpereComputingAI","description":"Fork of oneDNN","archived":false,"fork":false,"pushed_at":"2023-03-01T23:52:16.000Z","size":66156,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":4,"default_branch":"ampere_altra_03012023","last_synced_at":"2025-01-13T06:26:10.230Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AmpereComputingAI.png","metadata":{"files":{"readme":"README.binary.in","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-03-01T23:33:58.000Z","updated_at":"2023-03-01T23:49:16.000Z","dependencies_parsed_at":"2023-04-01T01:48:35.929Z","dependency_job_id":null,"html_url":"https://github.com/AmpereComputingAI/oneDNN","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2FoneDNN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2FoneDNN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2FoneDNN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmpereComputingAI%2FoneDNN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AmpereComputingAI","download_url":"https://codeload.github.com/AmpereComputingAI/oneDNN/tar.gz/refs/heads/ampere_altra_03012023","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241557360,"owners_count":19981913,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-13T18:35:09.622Z","updated_at":"2025-03-02T19:19:09.304Z","avatar_url":"https://github.com/AmpereComputingAI.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"oneAPI Deep Neural Network Library (oneDNN)\n===========================================\n\noneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform\nperformance library of basic building blocks for deep learning applications.\noneDNN is part of oneAPI (https://oneapi.io).\nThe library is optimized for Intel(R) Architecture Processors and Intel Graphics.\n\noneDNN is intended for deep learning applications and framework\ndevelopers interested in improving application performance\non Intel CPUs and GPUs.\n\nThis package contains oneDNN v@PROJECT_VERSION@ (@DNNL_VERSION_HASH@).\n\nYou can find information about the latest version and release notes\nat the oneDNN Github (https://github.com/oneapi-src/oneDNN/releases).\n\nDocumentation\n-------------\n\n* Developer guide (https://oneapi-src.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@)\n  explains the programming model, supported functionality, and implementation\n  details, and includes annotated examples.\n* API reference (https://oneapi-src.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@/modules.html)\nprovides a comprehensive reference of the library API.\n\nSystem Requirements\n-------------------\n\noneDNN supports systems based on Intel 64 or AMD64 architectures.\n\nThe library is optimized for the following CPUs:\n* Intel Atom(R) processor (at least Intel SSE4.1 support is required)\n* Intel Core(TM) processor (at least Intel SSE4.1 support is required)\n* Intel Xeon(R) processor E3, E5, and E7 family (formerly Sandy Bridge,\n  Ivy Bridge, Haswell, and Broadwell)\n* Intel Xeon Scalable processor (formerly Skylake, Cascade Lake, Cooper\n  Lake, Ice Lake, and Sapphire Rapids)\n* Intel Xeon CPU Max Series (formerly Sapphire Rapids HBM)\n* future Intel Xeon Scalable processor (code name Granite Rapids)\n\noneDNN detects the instruction set architecture (ISA) at runtime and uses\njust-in-time (JIT) code generation to deploy the code optimized\nfor the latest supported ISA. Future ISAs may have initial support in the\nlibrary disabled by default and require the use of run-time controls to enable\nthem. See CPU dispatcher control (https://oneapi-src.github.io/oneDNN/dev_guide_cpu_dispatcher_control.html)\nfor more details.\n\nThe library is optimized for the following GPUs:\n* Intel Processor Graphics based on Gen9, Gen9.5 and Gen11, and Gen12 architectures\n* Intel Iris(R) Xe graphics (formerly DG1)\n* Intel Arc(TM) graphics (formerly Alchemist and DG2)\n* Intel Data Center GPU Flex Series (formerly Arctic Sound-M)\n* Intel Data Center GPU Max Series (formerly Ponte Vecchio)\n\n## Linux\n\nCommon dependencies:\n* GNU C Library (libc.so) 2.12 or later\n* GNU Standard C++ Library v3 (libstdc++.so) compatible with GCC 4.8 or later\n* Dynamic Linking Library (libdl.so)\n* C Math Library (libm.so)\n* POSIX Threads Library (libpthread.so)\n\nRuntime specific dependencies:\n\n| Runtime configuration | Dependency                                         |\n| --------------------- | -------------------------------------------------- |\n| cpu_gomp              | GNU OpenMP runtime (libgomp.so)                    |\n| cpu_iomp              | Intel OpenMP runtime (libiomp5.so)                 |\n| cpu_tbb               | Threading Building Blocks (libtbb.so)              |\n| cpu_dpcpp_gpu_dpcpp   | Intel oneAPI DPC++ Compiler runtime (libsycl.so)   |\n|                       | Threading Building Blocks (libtbb.so)              |\n|                       | oneAPI Level Zero loader (libze_loader.so)         |\n|                       | OpenCL loader (libOpenCL.so)                       |\n\n## Windows\n\nCommon dependencies:\n* Microsoft Visual C++ Redistributable 2015 or later (msvcrt.dll)\n\nRuntime specific dependencies:\n\n| Runtime configuration | Dependency                                         |\n| --------------------- | -------------------------------------------------- |\n| cpu_vcomp             | No additional dependencies                         |\n| cpu_iomp              | Intel OpenMP runtime (iomp5.dll)                   |\n| cpu_tbb               | Threading Building Blocks (tbb.dll)                |\n| cpu_dpcpp_gpu_dpcpp   | Intel oneAPI DPC++ Compiler runtime (sycl.dll)     |\n|                       | Threading Building Blocks (tbb.dll)                |\n|                       | oneAPI Level Zero loader (ze_loader.dll)           |\n|                       | OpenCL loader (OpenCL.dll)                         |\n\n## macOS\n\nCommon dependencies:\n* System C/C++ runtime (libc++.dylib, libSystem.dylib) compatible with\n  macOS 10.13 (High Sierra) or later\n\nRuntime specific dependencies:\n\n| Runtime configuration | Dependency                                |\n| --------------------- | ----------------------------------------- |\n| cpu_iomp              | Intel OpenMP runtime (libiomp5.dylib)     |\n| cpu_tbb               | Threading Building Blocks (libtbb.dylib) |\n\nSupport\n-------\n\nPlease submit your questions, feature requests, and bug reports on the\nGitHub issues page (https://github.com/oneapi-src/oneDNN/issues).\n\nYou may reach out to project maintainers privately at\ndnnl.maintainers@intel.com.\n\nLicense\n-------\n\noneDNN is licensed under Apache License Version 2.0. Refer to the \"LICENSE\"\nfile for the full license text and copyright notice.\n\nThis distribution includes third party software governed by separate license\nterms.\n\n3-clause BSD license:\n* Xbyak (https://github.com/herumi/xbyak)\n* Instrumentation and Tracing Technology API (ITT API) (https://github.com/intel/ittapi)\n* CMake (https://github.com/Kitware/CMake)\n\nBoost Software License, Version 1.0:\n* Boost C++ Libraries (https://www.boost.org/)\n\nMIT License:\n* Intel Graphics Compute Runtime for oneAPI Level Zero and OpenCL Driver (https://github.com/intel/compute-runtime)\n* Intel Graphics Compiler (https://github.com/intel/intel-graphics-compiler)\n* oneAPI Level Zero (https://github.com/oneapi-src/level-zero)\n* Intel Metrics Discovery Application Programming Interface (https://github.com/intel/metrics-discovery)\n\nThis third party software, even if included with the distribution of\nthe Intel software, may be governed by separate license terms, including\nwithout limitation, third party license terms, other Intel software license\nterms, and open source software license terms. These separate license terms\ngovern your use of the third party programs as set forth in the\n\"THIRD-PARTY-PROGRAMS\" file.\n\n# Security\n\nSee Intel's Security Center (https://www.intel.com/content/www/us/en/security-center/default.html)\nfor information on how to report a potential security issue or vulnerability.\n\n# Trademark Information\n\nIntel, the Intel logo, Arc, Intel Atom, Intel Core, Iris,\nOpenVINO, the OpenVINO logo, Pentium, VTune, and Xeon are trademarks\nof Intel Corporation or its subsidiaries.\n\n\\* Other names and brands may be claimed as the property of others.\n\nMicrosoft, Windows, and the Windows logo are trademarks, or registered\ntrademarks of Microsoft Corporation in the United States and/or other\ncountries.\n\nOpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission\nby Khronos.\n\n(C) Intel Corporation\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famperecomputingai%2Fonednn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famperecomputingai%2Fonednn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famperecomputingai%2Fonednn/lists"}