commit | 3ec5f21a3c962c559d38f84a02a2ad15908664b4 | [log] [tgz] |
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author | Kevin Laeufer <electron.kiwi@gmail.com> | Thu Aug 19 18:35:44 2021 -0700 |
committer | GitHub <noreply@github.com> | Thu Aug 19 18:35:44 2021 -0700 |
tree | abf8ba5a9b2a8e7d19cb6c79b4dce0836ae07c78 | |
parent | 4f7d2497c1655354f23c108d120c4ba030244d80 [diff] |
Port to the latest stable Chisel release (#33) * modernize build.sbt * fix some imports * ignore target directory generated by sbt * TensorGemm: explicitly define adder interface * use ChiselStage instead of Driver * setResource is now addResource * add toInt in order to fix warning
VTA (versatile tensor accelerator) is an open-source deep learning accelerator complemented with an end-to-end TVM-based compiler stack.
The key features of VTA include: