Current status

onednn Intel(R) Math Kernel Library for Deep Neural Networks

2.1.2 math =0 2.1.2Version of this port present on the latest quarterly branch.

Maintainer: yuri@FreeBSD.org

Port Added: 2020-04-04 07:15:00

Last Update: 2021-03-14 06:05:15

SVN Revision: 568359

License: APACHE20

Description:

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for deep learning applications. The library accelerates deep learning applications and framework on Intel(R) architecture. Intel(R) MKL-DNN contains vectorized and threaded building blocks which you can use to implement deep neural networks (DNN) with C and C++ interfaces. DNN functionality optimized for Intel architecture is also included in Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation is not compatible with Intel MKL-DNN and does not include certain new and experimental features. WWW: https://01.org/onednn

SVNWeb : Homepage

pkg-plist: as obtained via: make generate-plist

Expand this list (56 items)

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1. @ldconfig
2. /usr/local/share/licenses/onednn-2.1.2/catalog.mk
3. /usr/local/share/licenses/onednn-2.1.2/LICENSE
4. /usr/local/share/licenses/onednn-2.1.2/APACHE20
5. include/dnnl.h
6. include/dnnl.hpp
7. include/dnnl_config.h
8. include/dnnl_debug.h
9. include/dnnl_ocl.h
10. include/dnnl_ocl.hpp
11. include/dnnl_sycl.h
12. include/dnnl_sycl.hpp
13. include/dnnl_sycl_types.h
14. include/dnnl_threadpool.h
15. include/dnnl_threadpool.hpp
16. include/dnnl_threadpool_iface.hpp
17. include/dnnl_types.h
18. include/dnnl_version.h
19. include/mkldnn.h
20. include/mkldnn.hpp
21. include/mkldnn_config.h
22. include/mkldnn_debug.h
23. include/mkldnn_dnnl_mangling.h
24. include/mkldnn_types.h
25. include/mkldnn_version.h
26. include/oneapi/dnnl/dnnl.h
27. include/oneapi/dnnl/dnnl.hpp
28. include/oneapi/dnnl/dnnl_config.h
29. include/oneapi/dnnl/dnnl_debug.h
30. include/oneapi/dnnl/dnnl_ocl.h
31. include/oneapi/dnnl/dnnl_ocl.hpp
32. include/oneapi/dnnl/dnnl_sycl.h
33. include/oneapi/dnnl/dnnl_sycl.hpp
34. include/oneapi/dnnl/dnnl_sycl_types.h
35. include/oneapi/dnnl/dnnl_threadpool.h
36. include/oneapi/dnnl/dnnl_threadpool.hpp
37. include/oneapi/dnnl/dnnl_threadpool_iface.hpp
38. include/oneapi/dnnl/dnnl_types.h
39. include/oneapi/dnnl/dnnl_version.h
40. lib/cmake/dnnl/dnnl-config-version.cmake
41. lib/cmake/dnnl/dnnl-config.cmake
42. lib/cmake/dnnl/dnnl-targets-release.cmake
43. lib/cmake/dnnl/dnnl-targets.cmake
44. lib/cmake/mkldnn/mkldnn-config-version.cmake
45. lib/cmake/mkldnn/mkldnn-config.cmake
46. lib/cmake/mkldnn/mkldnn-targets-release.cmake
47. lib/cmake/mkldnn/mkldnn-targets.cmake
48. lib/libdnnl.so
49. lib/libdnnl.so.2
50. lib/libdnnl.so.2.1
51. lib/libmkldnn.so
52. lib/libmkldnn.so.2
53. lib/libmkldnn.so.2.1
54. @owner
55. @group
56. @mode

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Dependency lines:

• For RUN/BUILD depends:
  • onednn>0:math/onednn

• For LIB depends:
  • libdnnl.so:math/onednn
  • libmkldnn.so:math/onednn

To install the port: cd /usr/ports/math/onednn/ && make install clean

To add the package: pkg install onednn

PKGNAME: onednn

Flavors: there is no flavor information for this port.

distinfo:

TIMESTAMP = 1615699363 SHA256 (oneapi-src-oneDNN-v2.1.2_GH0.tar.gz) = cca53231ec99878dc7ef3cf4984525df4691b8174e703b40dd530c50531ecea0 SIZE (oneapi-src-oneDNN-v2.1.2_GH0.tar.gz) = 9277121

Packages: (move your mouse over the cells for more information)

onednn

ABI	latest	quarterly
FreeBSD:11:aarch64	-	-
FreeBSD:11:amd64	2.1.2	1.7_3
FreeBSD:11:armv6	-	-
FreeBSD:11:i386	-	-
FreeBSD:11:mips	-	-
FreeBSD:11:mips64	-	-
FreeBSD:12:aarch64	-	-
FreeBSD:12:amd64	2.1.2	1.7_3
FreeBSD:12:armv6	-	-
FreeBSD:12:armv7	-	-
FreeBSD:12:i386	-	-
FreeBSD:12:mips	-	-
FreeBSD:12:mips64	-	-
FreeBSD:12:powerpc64	-	1.7_3
FreeBSD:13:aarch64	2.0	1.7_3
FreeBSD:13:amd64	2.1.2	1.7_3
FreeBSD:13:armv6	-	-
FreeBSD:13:armv7	-	-
FreeBSD:13:i386	-	-
FreeBSD:13:mips	-	-
FreeBSD:13:mips64	-	-
FreeBSD:13:powerpc64	2.0	1.7_3
FreeBSD:14:aarch64	-	-
FreeBSD:14:amd64	2.1.2	-
FreeBSD:14:armv6	-	-
FreeBSD:14:armv7	-	-
FreeBSD:14:i386	-	-
FreeBSD:14:mips	-	-
FreeBSD:14:mips64	-	-
FreeBSD:14:powerpc64	2.1.1	-

 

Dependencies

NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:

1. cmake : devel/cmake
2. ninja : devel/ninja

This port is required by:

for Build

1. misc/mxnet
2. misc/ngraph

Configuration Options

===> The following configuration options are available for onednn-2.1.2: ====> Use CPU-specific optimizations: you have to select exactly one of them SIMD_DEFAULT=on: Default, no non-default SIMD instructions are used SIMD_NATIVE=off: Optimize for this CPU SIMD_SSE41=off: Use SSE4.1 instructions ====> Threading runtime for CPU engines: you have to select exactly one of them OPENMP=on: Parallel processing support via OpenMP TBB=off: Threading Building Blocks SEQ=off: Sequential (no parallelism) THREADPOOL_STANDALONE=off: Threadpool based on the standalone implementation THREADPOOL_EIGEN=off: Threadpool based on the Eigen implementation THREADPOOL_TBB=off: Threadpool based on the TBB implementation ===> Use 'make config' to modify these settings

USES:

cmake compiler:c++11-lang localbase:ldflags

Master Sites:

Expand this list (1 items)

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1. https://codeload.github.com/oneapi-src/oneDNN/tar.gz/v2.1.2?dummy=/

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• port moved here from math/mkl-dnn on 2020-04-04
  REASON: Project renamed
  

math/onednn: Update 2.1.1 -> 2.1.2

Reported by:	portscout

math/onednn: Mark broken on aarch64

/wrkdirs/usr/ports/math/onednn/work/oneDNN-2.1.1/src/cpu/aarch64/xbyak_aarch64/xbyak_aarch64_util.h:20:10:
fatal error: 'sys/prctl.h' file not found

Approved by:	portmgr (tier-2 blanket)

math/onednn: Update 2.0 -> 2.1.1

Reported by:	portscout

math/onednn: Update 1.7 -> 2.0

math/onednn: Add CPU_RUNTIME options; Change cmake variables to defined cmake
optons.

math/onednn: Add options for SIMD optimization level; Use standard BUILD_TESTING
cmake variable instead of BUILD_TESTS

math/onednn: Force the -O3 optimization level because -O2 exposes a clang bug

math/onednn: Update 1.6.5 -> 1.7

Reported by:	portscout

math/onednn: Update 1.6.4 -> 1.6.5

Reported by:	portscout

math/onednn: Update 1.6.3 -> 1.6.4

Reported by:	portscout

math/onednn: Update 1.6.2 -> 1.6.3

Reported by:	portscout

math/onednn: Update 1.6.1 -> 1.6.2

Reported by:	portscout

math/onednn: bump PORTREVISION after powerpc64 kernel enablement

Getting things done late at night is not a good idea.

MFH:		2020Q3 (blanket: just fix it)

math/onednn: enable native powerpc64

In version 1.6, upstream added native support for powerpc64, without using
generic code. Enable that instead of using generic code.

Also patch platform.cmake not to add -mcpu=native for aarch64.

math/onednn: Update 1.6 -> 1.6.1

Reported by:	portscout

math/onednn: Update 1.5.1 -> 1.6

Reported by:	portscout

math/onednn: Update 1.5 -> 1.5.1

Reported by:	portscout

math/onednn: fix build on non-amd64 non-aarch64

onednn seems to support only amd64 and aarch64, but there is also generic target
which also works on other architectures.

math/onednn: Update 1.4 -> 1.5

Reported by:	portscout

math/onednn: Update 1.3 -> 1.4

Reported by:	portscout

math/mkl-dnn: Rename to math/onednn; Update 1.2.2 -> 1.3

The project is renamed by the upstream.

12 vulnerabilities affecting 72 ports have been reported in the past 14 days

^* - modified, not new

All vulnerabilities

Last updated:
2021-03-28 22:40:29