Artifact libxir2_2.5-1+b1_arm64

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deb_control_files:
- control
- md5sums
- shlibs
- triggers
deb_fields:
  Architecture: arm64
  Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgoogle-glog0v6 (>= 0.6.0), libprotobuf32
    (>= 3.21.9), libstdc++6 (>= 11), libunilog2 (>= 2.5)
  Description: |-
    Xilinx Intermediate Representation (XIR) for deep learning algorithms (runtime)
     Xilinx Intermediate Representation (XIR) is a graph based
     intermediate representation of the AI algorithms which is well
     designed for compilation and efficient deployment of the
     Domain-specific Processing Unit (DPU) on the FPGA platform. Advanced
     users can apply Whole Application Acceleration to benefit from the
     power of FPGA by extending the XIR to support customized IP in Vitis
     AI flow.
     .
     XIR includes Op, Tensor, Graph and Subgraph libraries, which
     providing a clear and flexible representation for the computational
     graph. For now, it's the foundation for the Vitis AI quantizer,
     compiler, runtime and many other tools. XIR provides in-memory
     format, and file format for different usage. The in-memory format XIR
     is a Graph object, and the file format is a xmodel. A Graph object
     can be serialized to a xmodel while the xmodel can be deserialized to
     the Graph object.
     .
     In the Op library, there's a well-defined set of operators to cover
     the wildly used deep learning frameworks, e.g. TensorFlow, Pytorch
     and Caffe, and all of the built-in operators for DPU. This enhences
     the expression ability and achieves one of the core goals of
     eliminating the difference between these frameworks and providing a
     unified representation for users and developers.
     .
     XIR also provides a Python APIs which is named PyXIR. It enables
     Python users to fully access XIR and benefits in a pure Python
     environment, e.g. co-develop and integrate users' Python project with
     the current XIR based tools without massive dirty work to fix the gap
     between two languages.
     .
     This package provides the runtime environment for XIR.
  Homepage: https://github.com/Xilinx/Vitis-AI
  Installed-Size: '10649'
  Maintainer: Debian Xilinx Package Maintainers <team+pkg-xilinx@tracker.debian.org>
  Multi-Arch: same
  Package: libxir2
  Priority: optional
  Section: libs
  Source: xir (2.5-1)
  Version: 2.5-1+b1
srcpkg_name: xir
srcpkg_version: 2.5-1

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Relation Direction Type Name
built-using Source package xir_2.5-1

binary package System - - 5 months, 3 weeks ago 4 months, 3 weeks
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