https://github.com/facebookresearch/pythia
Revision 7fb6bdca5ac8a08eb27585f446e98aa6cea92486 authored by Amanpreet Singh on 18 March 2021, 21:24:54 UTC, committed by Facebook GitHub Bot on 18 March 2021, 21:31:54 UTC
Summary: - For some cases such as MLM we need full sequences. It would be great if we can reuse existing transformer encoder and support that. This PR adds support for the same along with tests Pull Request resolved: https://github.com/facebookresearch/mmf/pull/814 Test Plan: Tests have been added. Tested also with MVLT Reviewed By: ytsheng, vedanuj Differential Revision: D27075345 Pulled By: apsdehal fbshipit-source-id: c8d475405d4950494831846f2eef795975e5ff6c
1 parent bbc8035
Tip revision: 7fb6bdca5ac8a08eb27585f446e98aa6cea92486 authored by Amanpreet Singh on 18 March 2021, 21:24:54 UTC
[feat] Allow returning sequences in transformer encoder (#814)
[feat] Allow returning sequences in transformer encoder (#814)
Tip revision: 7fb6bdc
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docs | ||
mmf | ||
mmf_cli | ||
projects | ||
tests | ||
tools | ||
website | ||
.editorconfig | -rw-r--r-- | 191 bytes |
.flake8 | -rw-r--r-- | 187 bytes |
.gitignore | -rw-r--r-- | 267 bytes |
.pre-commit-config.yaml | -rw-r--r-- | 1.1 KB |
LICENSE | -rw-r--r-- | 1.5 KB |
MANIFEST.in | -rw-r--r-- | 130 bytes |
NOTICES | -rw-r--r-- | 2.7 KB |
README.md | -rw-r--r-- | 2.2 KB |
pyproject.toml | -rw-r--r-- | 915 bytes |
requirements.txt | -rw-r--r-- | 351 bytes |
setup.py | -rw-r--r-- | 5.0 KB |
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