# Copyright (C) 2023 Xilinx, Inc # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. [project] name = "logicnets" description = "Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications" authors = [ { name = "Nicholas J. Fraser", email = "nicholas.fraser@amd.com" }, ] classifiers = [ "Development Status :: 3 - Alpha", "Programming Language :: Python :: 3", "License :: OSI Approved :: Apache Software License", ] dependencies = [ "torch", "brevitas", ] dynamic = ["version"] [project.optional-dependencies] simulate = [ # Install dependencies required for functional simulation of generated verilog "pyverilator", ] example-jsc = [ # Install dependencies for jet_substructure example "logicnets[simulate]", "h5py", "pyyaml<6.0", "numpy", "pandas", "scikit-learn", "tensorboard", ] example-nid = [ # Install dependencies for cybersecurity example "logicnets[simulate]", "numpy", "tensorboard", ] example-all = [ # Install dependencies for all examples, if possible "logicnets[example-jsc, example-nid]", ] [build-system] requires = [ "setuptools >= 61.0.0", "wheel", "setuptools_scm[toml]>=6.2" ] build.backend = "setuptools.build_meta" [tool.setuptools_scm]