opennmt/__init__.py,sha256=d3Ew_CnFToD468LrtZJDhkjtsaVC7GJywMLulWnew_E,542
opennmt/config.py,sha256=vLsIXkIgPB4doo7f8jjOapjHpXlG3k67AUwNIRRvx2U,9125
opennmt/constants.py,sha256=BPDJnVZu1Biv5TExLYGvL2i-HMpka9rru4xs-CqOC1U,235
opennmt/evaluation.py,sha256=gugIDUrPIbctPopiIsOtK0sFrgVtfOxrmX2kj4BQJ48,11034
opennmt/runner.py,sha256=o4RocszzVBTkc7eQh_1SsbC4k5lPFTJzjjti_9aotQA,17792
opennmt/training.py,sha256=twbfhOpt-GSFjPmeLh8CghYIbHwBpEaWbCPf7R4bURM,10296
opennmt/bin/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
opennmt/bin/ark_to_records.py,sha256=C48kEEMml37F-UrWu6l6R9HC4wGawIdl7gcn1vHYLq4,4632
opennmt/bin/build_vocab.py,sha256=IDiJH4VIqlAkmwLzHy5RgAFiwFcCbyIL996I2EuTPOY,3374
opennmt/bin/detokenize_text.py,sha256=2FkaOx9hgnYrfAo0VX6MQRML5IQCQbr0cWKuEnfVTb4,649
opennmt/bin/main.py,sha256=u1gVl30cLtvfcxmvTMY1HjhC9Fd91bAatIXZRT4eSuk,8541
opennmt/bin/merge_config.py,sha256=KPMfjiehcJMRtRpR9LOyK-AlylPSPHpW_Y7dTC8cjow,510
opennmt/bin/tokenize_text.py,sha256=Z0iLWHTtUzj1KH_Itdl9hY76pI6PpNRGiaGj9VjeEzM,641
opennmt/data/__init__.py,sha256=pT2cz2z8IO_9G5gEo5fsIbDtvWMycEk9F9s4xSZojWs,953
opennmt/data/dataset.py,sha256=aHA1IrjqH-bF3AfLraJRVG2Ky9b5-WYZ_5bpC_8WGTM,16362
opennmt/data/noise.py,sha256=Svj9gYWNiExFdXog0gx0R1nVcSBgUXe6YTlzkbOVz5U,7829
opennmt/data/text.py,sha256=a430xUAvkHCGOkIPM6iQC3ThRpsmYgUyhKeLaBDDGZg,3426
opennmt/data/vocab.py,sha256=E9VoO6H09dmOzUGIGOBJZvYnLqE93gQMc5B87kGgQ-U,9680
opennmt/decoders/__init__.py,sha256=iLzXHd_OtmOobdq_OfcziYAxVMeWO-onXdP8Qax2D6c,387
opennmt/decoders/decoder.py,sha256=_16ngvbWbeZQBO53g2r9OriZMLCB-qqUnrvO7ZxYKbM,16031
opennmt/decoders/rnn_decoder.py,sha256=7Zj_ep5QQavnryYMCBIkmKJjugUVvcwIEnsVi9BxXcc,9668
opennmt/decoders/self_attention_decoder.py,sha256=zpsdFCsPFX1WpmGMaPCH3oW6XfBR8IpnOyCQHLc-rHI,6562
opennmt/encoders/__init__.py,sha256=_5v6ktU48KlSABqny3ZFvlbl6eRCUeOiEA0WGP3Rse8,647
opennmt/encoders/conv_encoder.py,sha256=62q4xnAUf8WTcluHT4o5RE4hLzK1Fvzg856V9iflI0I,2194
opennmt/encoders/encoder.py,sha256=05nMpwdJtcDMZeMmR5w8KRg3aQmnpRKlfCSGJHTutnU,7316
opennmt/encoders/mean_encoder.py,sha256=PU6jopNb6JL1XZ5IOKxnD724VjY81p11eeD15B9LkKU,491
opennmt/encoders/rnn_encoder.py,sha256=Z6Sp4rkq421p0Vk5wk9t8ZszCsynJI77g0V_sOdn0Sg,8526
opennmt/encoders/self_attention_encoder.py,sha256=a4Iauqsqq-EAMcMf1oXU4DOB6hoV47wl39yj6jPRhZ8,2965
opennmt/inputters/__init__.py,sha256=rcI9mUZ7SOjbPrmXCPa8DRtRq7IOuKtazjehoru5XIo,1071
opennmt/inputters/inputter.py,sha256=4ygxnTo734xB9LgpVELQv7mp_0rjtWYsWSbrNU547IA,20008
opennmt/inputters/record_inputter.py,sha256=cr8yZ_oGUxggmX1-O83FWaxVRSTULlO4fvjcB8qFHL0,3369
opennmt/inputters/text_inputter.py,sha256=6wGQoTj8pQB_L4v1KeYXT_P42qqsrmNoCbQ88EP0eO0,20571
opennmt/layers/__init__.py,sha256=U4nulwM1I_zxj6c31fZUWALZTZ_Zq-eJo_8DQ5K6VrM,1482
opennmt/layers/bridge.py,sha256=x0SkLlzAtYXIW3zkxDW1rieIX3m4Q3GjhZPU374LdTY,3195
opennmt/layers/common.py,sha256=21BJcYKQAHfujoediKMrr3lKGYtXiUV3DnAvSIvfWqQ,6493
opennmt/layers/position.py,sha256=e6CJeeQzWg45CerDah0uXipib6tLtf6GJv8hpMWlGOA,3582
opennmt/layers/reducer.py,sha256=okJ975yZAB6bufeC9vDngZ0PpXdcaPSPWnT3soi7ctA,6695
opennmt/layers/rnn.py,sha256=J-WMuR7WhZTIEvWDkxFFKk3HN75hJLDQw8ZHVvfDd1A,9684
opennmt/layers/transformer.py,sha256=4s2xMYjv3zUTOV1fFeUdFEeE2q2L4-2wsPH610w__zE,14714
opennmt/models/__init__.py,sha256=4dciOrXrfkswCvvRwhMxCbHzkkI53pX5jPZJuabl41Q,1068
opennmt/models/catalog.py,sha256=sz-pi3wzmfIKuO6S_USSHnTzWZBz30d_kdiJkemBxYA,9758
opennmt/models/language_model.py,sha256=Q3hGC_5xvm9x_diuqIGJVf6Db75HbCdb2Ggfnl-eVWs,9838
opennmt/models/model.py,sha256=3DJFjfq0KvtxJKAnLbCcIXPP07TlVllzWDkv-7lZxIA,14365
opennmt/models/sequence_classifier.py,sha256=kbwlUCDmsLGItp93f2UyNxG_6CQF3k2RLxhtvabWxDU,3084
opennmt/models/sequence_tagger.py,sha256=VtuH3DZ_YJcnMexMDGh0JRifsFqYu0g_eqfiyFtHwf8,8043
opennmt/models/sequence_to_sequence.py,sha256=sAFXJD83v6glBs-Gmlty58dkjpCKXXr-EPG_SfnX5gg,20655
opennmt/models/transformer.py,sha256=Zj-_le4Mwz7L2DB-D3Re8H6RE0VoiRbZU_EoiPcK4oM,4927
opennmt/optimizers/__init__.py,sha256=77w3bIM-wexKC4R0o52bC1fOjflRKc3cVMn4W6bcMZ4,94
opennmt/optimizers/utils.py,sha256=tZ2nxX79j2IwJe94WFqoS2HeZvNXhhpHOYR1Kvi72C8,3321
opennmt/schedules/__init__.py,sha256=-TAcEVK9VpUYFoKuLb0vByye5QDeCHgf4YLV1Fey0pY,401
opennmt/schedules/lr_schedules.py,sha256=iMJ1g9U1-n-GVz7SrZSCiAmJdWQ9LZIn57jUCDiHArg,6696
opennmt/tokenizers/__init__.py,sha256=bD8JBQaohT2AWnHgTg1rKNdEENR3UV8c0s6kTy97Iy8,1763
opennmt/tokenizers/opennmt_tokenizer.py,sha256=dftglAeRHZ5_8UJ9JBIChQuqjpxdU4vYbnP7KPKsSMM,1727
opennmt/tokenizers/tokenizer.py,sha256=6q_gRQuc9NWHLw9COviQhsSca53Bwb-wr8BFQugLpM0,10075
opennmt/utils/__init__.py,sha256=Wgek9rKCcoLcxF1A9rY9OoOc6LzIvz0G5qE_lUde5hI,1052
opennmt/utils/checkpoint.py,sha256=f5V33aum3SKt38PNp6id4DSVeXEHXAvFdaKYjIScG8o,9595
opennmt/utils/compat.py,sha256=XMWal70zo-fGyINs38vdEfL5DRfhx7_OUvhGLkpaY8I,648
opennmt/utils/decoding.py,sha256=bl45oBQnyLS1m7XiTuR8fd9oD2vPd5lL41XoWJ9tiw0,19622
opennmt/utils/losses.py,sha256=S3a_nGc7lJFxiRsj691MGOP1G54scraCLFhHSrVS8qU,7121
opennmt/utils/misc.py,sha256=XHQoZR7cWokagiwaADdBY7cUEEZpiISRTyK5B-5P6SI,9960
opennmt/utils/scorers.py,sha256=UyhI4E-Qdcru4z2vWqtcGkoazsP6YPfh2jdcTqSzm5o,2695
opennmt/utils/tensor.py,sha256=U03vAayHMDDKYn54F3UtV-7xnov6nls7hnOzyzSg-Og,664
OpenNMT_tf-2.3.0.dist-info/LICENSE,sha256=WM2_EuoKpszGoyn580NijsTdlPvE_7rhp-QUGveMcKQ,1085
OpenNMT_tf-2.3.0.dist-info/METADATA,sha256=GsGzslCsGotCryT1dagUex5U6tggIk_gtPn3WcjkgqE,1368
OpenNMT_tf-2.3.0.dist-info/WHEEL,sha256=HX-v9-noUkyUoxyZ1PMSuS7auUxDAR4VBdoYLqD0xws,110
OpenNMT_tf-2.3.0.dist-info/entry_points.txt,sha256=ESmw4KxMpxJdqn80b46hg2D22ADoClCJxoCTviYIprA,313
OpenNMT_tf-2.3.0.dist-info/top_level.txt,sha256=On9Ow4QkWlEN0Fo91wvRviqgKPeo2ZUXYic6epAKUv8,8
OpenNMT_tf-2.3.0.dist-info/RECORD,,
