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(skip-ci) #337

name: inclusive-tests-models-toys-main
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test-toy-configs:
runs-on: ubuntu-latest
if: ${{ ! (contains(github.event.head_commit.message, 'skip-models') || contains(github.event.head_commit.message, 'skip-ci')) }}
strategy:
matrix:
include:
- config: '+id=000 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter ~data.embedding'
- config: '+id=005 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter train.save_per_epoch=3 test.on_train=True test.topK=5'
- config: '+id=006 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=uniform'
- config: '+id=007 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram'
- config: '+id=008 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=009 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.d2v.D2v_d2v +models.batch_size=2 +models.nsd=unigram_b fair.fgender=../data/dblp/toy.dblp.v12.json.females.csv'
- config: '+id=010 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_n2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=011 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_m2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=012 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gcn +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=013 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gs +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=014 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gat +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=015 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gin +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=016 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.publication.Publication data.source=../data/dblp/toy.dblp.v12.json data.output=../output/dblp/toy.dblp.v12.json ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gatv2 +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=016 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter ~data.embedding'
- config: '+id=017 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter train.save_per_epoch=3 test.on_train=True test.topK=5'
- config: '+id=018 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=uniform'
- config: '+id=019 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram'
- config: '+id=020 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=021 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.d2v.D2v_d2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=022 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_n2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=023 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_m2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=024 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gcn +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=025 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gs +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=026 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gat +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=027 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gin +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=028 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.movie.Movie data.source=../data/imdb/toy.title.basics.tsv data.output=../output/dblp/toy.title.basics.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gatv2 +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=025 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter ~data.embedding'
- config: '+id=026 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter train.save_per_epoch=3 test.on_train=True test.topK=5'
- config: '+id=027 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=uniform'
- config: '+id=028 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram'
- config: '+id=029 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=030 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.d2v.D2v_d2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=031 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_n2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=032 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_m2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=033 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gcn +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=034 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gs +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=035 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gat +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=036 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gin +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=037 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.repository.Repository data.source=../data/gith/toy.repos.csv data.output=../output/gith/toy.repos.csv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gatv2 +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=036 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter ~data.embedding'
- config: '+id=037 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter train.save_per_epoch=3 test.on_train=True test.topK=5'
- config: '+id=038 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=uniform'
- config: '+id=039 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram'
- config: '+id=040 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter ~data.embedding +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=041 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.d2v.D2v_d2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=042 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_n2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=043 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_m2v +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=044 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gcn +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=045 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gs +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=046 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gat +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=047 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gin +models.batch_size=2 +models.nsd=unigram_b'
- config: '+id=048 "cmd=[train,test,eval]" "models.instances=[mdl.rnd.Rnd, mdl.fnn.Fnn, mdl.bnn.Bnn, mdl.nmt.Nmt, mdl.emb.gnn.Gnn]" data.domain=cmn.patent.Patent data.source=../data/uspt/toy.patent.tsv data.output=../output/uspt/toy.patent.tsv ~data.filter data.embedding.class_method=mdl.emb.gnn.Gnn_gatv2 +models.batch_size=2 +models.nsd=unigram_b'
fail-fast: false
steps:
- name: Free disk space
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /usr/local/lib/android
sudo rm -rf /opt/ghc
sudo apt-get clean
- name: Checkout
uses: actions/checkout@v3
with:
submodules: recursive
fetch-depth: 0
- name: Update submodules to latest main
run: |
git submodule update --remote --checkout
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.8'
- name: Install dependencies
run: |
pip install -r requirements.txt
- name: Clean up previous outputs
run: rm -rf output/
- name: Echo config index
run: |
echo 'Config index: ${{ matrix.index }}'
- name: Run config ${{ matrix.config }}
run: |
python main.py ${{ matrix.config }}
working-directory: ./src
continue-on-error: ${{ matrix.label == 'fail.teamsvecs.validate' || matrix.label == 'fail.teamsvecs.validate.nogpu' }}