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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. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MXNet is also more than a deep learning project. It is also a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.

Uploaded Sun Mar 30 23:36:16 2025
md5 checksum 9adefacd5aec61996109e42a0da278e6
arch x86_64
build gpu_mkl_he87abd8_1
build_number 1
depends _mutex_mxnet 0.0.20 gpu_mkl, cudatoolkit 9.0.*, cudnn >=7.1.2,<=8.0a0, intel-openmp >=2018.0.3,<2019.0a0, libgcc-ng >=5.4.0, libmklml >=2018.0.3, libopencv >=3.4.1,<3.4.2.0a0, libstdcxx-ng >=5.4.0, mkl-dnn >=0.14,<1.0a0
license Apache-2
license_family Apache
md5 9adefacd5aec61996109e42a0da278e6
name libmxnet
platform linux
sha1 1e4aef34d0e10be6b27a6f8884aa79b1d358cd70
sha256 bc0ebb165446bd1411e13ec57c4319dcecf4b64ce158f4d02aad5ee1e3463702
size 174105522
subdir linux-64
timestamp 1533382716051
version 1.2.1