# packages

pkgId: 5feb7d378647b827d2850d4d978fe76c1a37a8a0a16eae235ab8e2805e063a82
name: acl
arch: src
version: 3.6.1
epoch: 0
release: 8
summary: Access control list utilities
url: https://github.com/acl-dev/acl
rpm_license: GPLv2+
rpm_group: Development/Libraries
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a68-2.compass-ci.net
location_href: Packages/acl-3.6.1-8.src.rpm
checksum_type: sha256
description:
  This package contains the getfacl and setfacl utilities needed for
  manipulating access control lists.


pkgId: 5f0508a24b053d7cf514ad2e39dd87b9d2c5a7a77fb3ee6a26b6a846918e29c9
name: dlrm
arch: src
version: 1.0
epoch: 0
release: 1.oe2203sp3
url: https://github.com/facebookresearch/dlrm
rpm_license: MIT license
rpm_group: Deep Learning Recommendation Model
rpm_buildhost: localhost
location_href: Packages/dlrm-1.0-1.oe2203sp3.src.rpm
checksum_type: sha256
summary:
  Deep Learning Recommendation Model for Personalization and Recommendation Systems,Copyright (c) Facebook, Inc. and its affiliates

description:
  An implementation of a deep learning recommendation model (DLRM). The model input consists of dense and sparse features. The former is a vector of floating point values. The latter is a list of sparse indices into embedding tables, which consist of vectors of floating point values. The selected vectors are passed to mlp networks denoted by triangles, in some cases the vectors are interacted through operators (Ops)


pkgId: 19230789c1c42c486ab95d7e8c8130fb97b9669cad536c0b38ba1c452b74eb48
name: libcutlass
arch: src
version: 3.5.1
epoch: 0
release: 1
summary: NVIDIA CUTLASS Library for High-Performance Matrix Multiply
url: https://github.com/NVIDIA/cutlass
rpm_license: NVIDIA End User License Agreement
rpm_group: Development/Libraries
rpm_buildhost: 142e2907eea4
location_href: Packages/libcutlass-3.5.1-1.src.rpm
checksum_type: sha256
description:
  CUTLASS is a CUDA C++ library for implementing high-performance matrix multiply and other linear algebra operations on NVIDIA GPUs.


pkgId: c1dc65d6dc62c887b8ec8d6a5364acc471756736d545d41524f65a626787c4da
name: mlperf-logging
arch: src
version: 3.0.0
epoch: 0
release: 1
summary: MLPerf™ logging library
url: https://github.com/mlperf/logging.git
rpm_license: Apache License, Version 2.0
rpm_group: Unspecified
rpm_buildhost: localhost
location_href: Packages/mlperf-logging-3.0.0-1.src.rpm
checksum_type: sha256
description:
  MLPerf Compliance Logging Utilities and Helper Functions,offical website: https://mlcommons.org/en/groups/best-practices-benchmark-infra


pkgId: f170a0f7a1e1b913f2ab9e0bf9da330b51734e7963a5913a45ac8820804c5180
name: mxnet
arch: src
version: 1.9.1
epoch: 0
release: 1.oe2203sp3
url: https://mxnet.apache.org
rpm_license: Apache-2.0
rpm_group: Unspecified
rpm_buildhost: taishan200-2280-2s64p-256g--a86.compass-ci.net
location_href: Packages/mxnet-1.9.1-1.oe2203sp3.src.rpm
checksum_type: sha256
summary:
  Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility.

description:
  Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.


pkgId: 9798ee537ecbfe3d059664bf1ca1412889cfc475112d7679009348e725331439
name: numpy
arch: src
version: 1.24.4
epoch: 1
release: 2
summary: A fast multidimensional array facility for Python
url: http://www.numpy.org/
rpm_license: BSD-3-Clause AND Apache-2.0
rpm_group: Unspecified
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a62-4.compass-ci.net
location_href: Packages/numpy-1.24.4-2.src.rpm
checksum_type: sha256
description:
  NumPy is a general-purpose array-processing package designed to
  efficiently manipulate large multi-dimensional arrays of arbitrary
  records without sacrificing too much speed for small multi-dimensional
  arrays.  NumPy is built on the Numeric code base and adds features
  introduced by numarray as well as an extended C-API and the ability to
  create arrays of arbitrary type.

  There are also basic facilities for discrete fourier transform,
  basic linear algebra and random number generation. Also included in
  this package is a version of f2py that works properly with NumPy.


pkgId: 117da452ecf5460552459ef7208908ab485fe46baef28110c043ae0332772cd9
name: oneDNN
arch: src
version: 3.4.1
epoch: 0
release: 1
summary: Deep Neural Network Library
url: https://github.com/oneapi-src/oneDNN/
rpm_license: ASL 2.0 and BSD and Boost and MIT
rpm_group: Unspecified
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a26-0.compass-ci.net
location_href: Packages/oneDNN-3.4.1-1.src.rpm
checksum_type: sha256
description:
  one-API Deep Neural Network Library (oneDNN) is an open-source 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. Deep learning practitioners should use one of the applications
  enabled with oneDNN:


pkgId: 7c5f5a12d7c4b6e875ac3a54215eecf00fb2483571cf4079899e9c41537c20eb
name: onedal
arch: src
version: 2024.1.0
epoch: 0
release: 1.oe2203sp3
summary: oneAPI Data Analytics Library
url: https://github.com/oneapi-src/oneDAL
rpm_license: MIT License
rpm_group: Unspecified
rpm_buildhost: 493721c3a3eb
location_href: Packages/onedal-2024.1.0-1.oe2203sp3.src.rpm
checksum_type: sha256
description:
  oneAPI Data Analytics Library (oneDAL) is a powerful machine learning library that helps you accelerate big data analysis at all stages: preprocessing, transformation, analysis, modeling, validation, and decision making.


pkgId: dadfa19c0c4cc3c51d9250586af3b6cf6456d135161a176f458bb3c2cebb0889
name: python-cython0.29
arch: src
version: 0.29.35
epoch: 0
release: 1
summary: Language for writing Python extension modules
url: http://www.cython.org
rpm_license: Apache-2.0
rpm_group: Unspecified
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a24-5.compass-ci.net
location_href: Packages/python-cython0.29-0.29.35-1.src.rpm
checksum_type: sha256
description:
  The Cython language makes writing C extensions for the Python language as easy
  as Python itself. Cython is a source code translator based on Pyrex,
  but supports more cutting edge functionality and optimizations.

  The Cython language is a superset of the Python language (almost all Python
  code is also valid Cython code), but Cython additionally supports optional
  static typing to natively call C functions, operate with C++ classes and
  declare fast C types on variables and class attributes.
  This allows the compiler to generate very efficient C code from Cython code.

  This makes Cython the ideal language for writing glue code for external C/C++
  libraries, and for fast C modules that speed up the execution of Python code.


pkgId: df22095a50ef03efd3643c8bf53043d57ebf197a72fc0dd3a91e50bb9acf4ee4
name: python-mpmath
arch: src
version: 1.2.1
epoch: 0
release: 3
summary: A pure Python library for multiprecision floating-point arithmetic
url: https://mpmath.org
rpm_license: BSD
rpm_group: Unspecified
rpm_buildhost: a08b45adb654
location_href: Packages/python-mpmath-1.2.1-3.src.rpm
checksum_type: sha256
description:
  Mpmath is a pure-Python library for multiprecision floating-point
  arithmetic. It provides an extensive set of transcendental functions,
  unlimited exponent sizes, complex numbers, interval arithmetic,
  numerical integration and differentiation, root-finding, linear
  algebra, and much more. Almost any calculation can be performed just
  as well at 10-digit or 1000-digit precision, and in many cases mpmath
  implements asymptotically fast algorithms that scale well for
  extremely high precision work. If available, mpmath will (optionally)
  use gmpy to speed up high precision operations.


pkgId: ac1da609d3c0d86c597d2012ca491178327e656815454d349323499dfa77fced
name: python-scikit-learn
arch: src
version: 1.4.0
epoch: 100
release: 6.38
summary: Python module for machine learning
url: https://github.com/scikit-learn/scikit-learn/tags
rpm_license: BSD-3-Clause
rpm_group: Unspecified
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a24-5.compass-ci.net
location_href: Packages/python-scikit-learn-1.4.0-6.38.src.rpm
checksum_type: sha256
description:
  Scikit-learn is an open source machine learning library that supports
  supervised and unsupervised learning. It also provides various tools for
  model fitting, data preprocessing, model selection, model evaluation,
  and many other utilities.


pkgId: 0f0d9eb748a2325a015ebaceea54dc0936d1ff0e66a9d53d3090d0c67e4ff776
name: python-setuptools
arch: src
version: 60.9.3
epoch: 0
release: 1
summary: Easily build and distribute Python packages
url: https://pypi.python.org/pypi/setuptools
rpm_license: MIT and (BSD or ASL 2.0)
rpm_group: Unspecified
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a62-4.compass-ci.net
location_href: Packages/python-setuptools-60.9.3-1.src.rpm
checksum_type: sha256
description:
  Setuptools is a collection of enhancements to the Python distutils that allow
  you to more easily build and distribute Python packages, especially ones that
  have dependencies on other packages.

  This package contains a python wheel of setuptools to use with venv.


pkgId: 306ee8914ed6d92c54c8f229dc54079e86da58fe1b2105f72003343878d25246
name: python-tensorboard
arch: src
version: 2.10.1
epoch: 0
release: 1.oe2203sp3
summary: TensorBoard lets you watch Tensors Flow
url: https://github.com/tensorflow/tensorboard
rpm_license: Apache 2.0
rpm_group: Unspecified
rpm_buildhost: taishan200-2280-2s64p-256g--a86.compass-ci.net
location_href: Packages/python-tensorboard-2.10.1-1.oe2203sp3.src.rpm
checksum_type: sha256
description:
  TensorBoard is a suite of web applications for inspecting and understanding
  your TensorFlow runs and graphs.

  Releases prior to 1.6.0 were published under the ``tensorflow-tensorboard`` name
  and may be found at https://pypi.python.org/pypi/tensorflow-tensorboard.


pkgId: ca76ce1fa0c3bb1c7c359932b09cdb22cb627e2634b9f3f32fcf670d6faf8b63
name: python3-openvino
arch: src
version: 2023.3.0
epoch: 0
release: 1.oe2203sp3
summary: OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
url: https://github.com/openvinotoolkit/openvino
rpm_license: MIT License
rpm_group: Unspecified
rpm_buildhost: 493721c3a3eb
location_href: Packages/python3-openvino-2023.3.0-1.oe2203sp3.src.rpm
checksum_type: sha256
description:
  OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference.

  1. Boost deep learning performance in computer vision, automatic speech recognition, natural language processing and other common tasks
  2. Use models trained with popular frameworks like TensorFlow, PyTorch and more
  3. Reduce resource demands and efficiently deploy on a range of Intel® platforms from edge to cloud


pkgId: 5d2cf759ea7b55f0c103283eb7e26dcf89685bc9bab3bb500e6bcb60be813697
name: python3.9-joblib
arch: src
version: 1.2.0
epoch: 0
release: 2.3
summary: Module for using Python functions as pipeline jobs
url: https://github.com/joblib/joblib
rpm_license: BSD-3-Clause
rpm_group: Unspecified
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a24-5.compass-ci.net
location_href: Packages/python3.9-joblib-1.2.0-2.3.src.rpm
checksum_type: sha256
description:
  Joblib is a set of tools to provide lightweight pipelining in
  Python. In particular, joblib offers:

    1. transparent disk-caching of the output values and lazy re-evaluation
       (memoize pattern)

    2. parallel computing

    3. logging and tracing of the execution

  Joblib can handle large data and has specific optimizations for `numpy` arrays.


pkgId: d865849568fe21e403e4849655ba7c229ab718b18f5179f3a21266485ada9b9b
name: pytorch
arch: src
version: 2.0.1
epoch: 0
release: 1
summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
url: https://pytorch.org
rpm_license: BSD-3
rpm_group: Unspecified
rpm_buildhost: vm-4p64g.taishan200-2280-2s48p-256g--a68-1.compass-ci.net
location_href: Packages/pytorch-2.0.1-1.src.rpm
checksum_type: sha256
description:
  PyTorch is a Python package that provides two high-level features:
  - Tensor computation (like NumPy) with strong GPU acceleration
  - Deep neural networks built on a tape-based autograd system
  You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.


pkgId: be0074124815d19efcafb0dde4daba42fb52b5e664098ca60c0322cb85cd51bb
name: sympy
arch: src
version: 1.12
epoch: 0
release: 1
summary: Symbolic mathematics in Python
url: https://www.sympy.org/
rpm_license: BSD
rpm_group: Unspecified
rpm_buildhost: a08b45adb654
location_href: Packages/sympy-1.12-1.src.rpm
checksum_type: sha256
description:
  SymPy is a Python library for symbolic mathematics. It aims to become a full-featured
  computer algebra system (CAS) while keeping the code as simple as possible in order to be
  understandable and easily extendable. SymPy is written entirely in Python and does not
  require any external libraries.


pkgId: 896c82e1206e6db5b15fcc4e5ed4e58997c25edd775ed675c9b3f810823cc417
name: tbb
arch: src
version: 2021.11.0
epoch: 0
release: 1
summary: Threading Building Blocks lets you easily write parallel C++ programs
url: http://threadingbuildingblocks.org/
rpm_license: ASL 2.0
rpm_group: Unspecified
rpm_buildhost: 493721c3a3eb
location_href: Packages/tbb-2021.11.0-1.src.rpm
checksum_type: sha256
description:
  Threading Building Blocks (TBB) lets you easily write parallel C++ programs that
  take full advantage of multicore performance, that are portable, composable and
  have future-proof scalability.


pkgId: b2cbc229e57566e16cbcc0629d5006d5493bc1d57d4ebcd0a1a7425f739123b9
name: xgboost
arch: src
version: 2.0.0
epoch: 0
release: 1
url: https://xgboost.ai/
rpm_license: Apache License 2.0
rpm_group: Unspecified
rpm_buildhost: vm-2p32g.taishan200-2280-2s48p-256g--a31-0.compass-ci.net
location_href: Packages/xgboost-2.0.0-1.src.rpm
checksum_type: sha256
summary:
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT, GBLINEAR, and DMLC/XGBoost) Library

description:
  XGBoost is a scalable, portable and distributed gradient boosting (GBDT, GBRT, GBLINEAR, and DMLC/XGBoost) library, designed to be highly efficient, flexible and portable.


