Result for 402E3C64FC3196050A7F8F4347582514C5EEB0CC

Query result

Key Value
MD5EC7F7446250CC80CFEC39D31B613D820
PackageArchx86_64
PackageDescriptionIntel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an open-source performance library for deep-learning applications. The library accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibdnnl2
PackageRelease2.5
PackageVersion2.2.4
SHA-1402E3C64FC3196050A7F8F4347582514C5EEB0CC
SHA-2565F319920BE3DF3CEA15D287DCA8FC53BA86818AD3208AD02365E1A8A9507A7F5
hashlookup:children-total4
hashlookup:trust50

Network graph view

Children (Total: 4)

The searched file hash includes 4 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/libdnnl.so
FileSize12
MD5651D6228202FE03E31219D472D3FB7C2
SHA-17F74396C4E286BBECA1AC841B61689CD2767CC9C
SHA-2562EE1D399C52A252A2E5984FEA3FD9BAADEA84DF3104785DF52A6F20016DCACA3
SSDEEP3:EBBiCn:EniCn
TLSH
Key Value
FileName./usr/share/licenses/libdnnl2/LICENSE
FileSize11488
MD58E17C0F9656EBAF0C380D9B22707C846
SHA-1C176C3939BE9D8A616899982C1B92D0B7CB5731E
SHA-25604DB34A48DF07F67BBE6878186F6C84F5F7B204BCF1E5C51E9E484CCCADE42A6
SSDEEP192:fU6G5KXSD9VYUKhu1JVF9hFGvV/QiGkS594drFjuHYx5dvTrLh87HbHi:M9vlKM1zJlFvmNz5VrK7Hm
TLSHT11232426EBB48037706C202A2AB8754CBF21E903F3B552568354CC1681F5BB6593FB6DA
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib64/libdnnl.so.2.2
FileSize40368112
MD50855E9386B2D9B0824FBF1D705CE040E
SHA-1EF00D481A8054DB960BA6F929B33FD1B8B185810
SHA-2569431ACCBD68C9F6581A1D8EC6D93A029721CE1126B4843A19A76EE15BE3890D2
SSDEEP196608:Kf3ovdLOzHCLqlcvLNQoWtL4hn+ejI2daofofiDAwp2OfgrzDVoYpgLhTnAA2qfO:OAlRutcFpU2dmlvDVoYpgLhTnAA7v8b
TLSHT1C697E717E611559EE176D138CBDF7AF2BD7038F90171396EAB41C6311A62A00C7A8BE3
Key Value
FileName./usr/lib64/libmkldnn.so.2.2
FileSize14
MD592A095E7469A1073CB79F43B89468519
SHA-10CF9018A0FCD9153D4602F2D3CF18F7B136B45E3
SHA-256BFD55952154D192736A5305842E031E77FCA083E292E93DFB943DB7F2029872B
SSDEEP3:EBBiCLX:EniCLX
TLSH