torchnlp/__init__.py,sha256=0PaI2eSOCp5kkNcpKpUSbLHf66rL9xQzFpYyLGpEtyM,22
torchnlp/download.py,sha256=hgsF_a_DDMFgdnsTd6CTjwj6AKmyYg6hJJ7UjLIK2p4,6915
torchnlp/random.py,sha256=nAv6pn3g33Id8XjN0crbnHNfl0OuIShIf6nyMXjz9rE,2864
torchnlp/utils.py,sha256=4URTFHpERodRn7vSVQHz24lhDKIUgKweQM0yyymiWhM,8735
torchnlp/_third_party/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchnlp/_third_party/lazy_loader.py,sha256=77tpQuK1mdNAlVO3AaF5Cg9XJuG9Cgrt-1mOm11vRYo,2086
torchnlp/_third_party/weighted_random_sampler.py,sha256=mo6X222ShsvoYTkV4gwUbu3wTKi2Z1nCGJhipjuVhIM,1149
torchnlp/datasets/__init__.py,sha256=illC-FPC22PCbpdGAxf1jddqmRhWTshT5yxW-jHWleI,1054
torchnlp/datasets/count.py,sha256=j2pJG3_0pNgpOTYodwRGoC30e2YqUJ9DvcEhT3Pkwc8,2397
torchnlp/datasets/dataset.py,sha256=1W_F0EFb2vbLENlpff6LbLePCd7JXjFLIsTTCfwvAB0,3534
torchnlp/datasets/imdb.py,sha256=OXc6pdfs1mg4JZZO9xwDIXFFiGIAxRtfvsvIYEclakI,3309
torchnlp/datasets/iwslt.py,sha256=wf6lN95zFHaERRyPPGZ6VmtxSuB8VYRA9bYL0IEt1dk,6495
torchnlp/datasets/multi30k.py,sha256=9iZz04GIUC5Pp77M6Xj2vMafx7sdu6vLU1c7xC0m2JQ,4278
torchnlp/datasets/penn_treebank.py,sha256=CksQsWlseW0SISDhZ0yIUS3GqsRyrnuBRb2UCZEobnY,3354
torchnlp/datasets/reverse.py,sha256=2HAvKkvC_CVNDtmwkxZdlyeW-LSG7g6Mun6ZTrPm7iM,2410
torchnlp/datasets/simple_qa.py,sha256=TKID9HXSvzdz9nYzEsKNE5GGNtXCCMc9cK8asEvTvJQ,3683
torchnlp/datasets/smt.py,sha256=9qMcg5kh3DE0IfFry5IeG2vUK8wcOxEVorRt5gAcUrE,4842
torchnlp/datasets/snli.py,sha256=NU-uulWPrgiHQeFcaEMgZxzMxf1CQNBwYtvqtBycIA0,4220
torchnlp/datasets/trec.py,sha256=Xl3q7qLzRtXp0xUEkuLx5kCg-A2tR-wB-VKwJ6bHg9k,3192
torchnlp/datasets/ud_pos.py,sha256=caVWxWpnN51lL1Tq-YwAlvppIKlUVKg3q0lmny1jLkw,3962
torchnlp/datasets/wikitext_2.py,sha256=4AcFiHZwQRCexFztjkUMD5X49xijmGQ2lhEzDixhuQw,3209
torchnlp/datasets/wmt.py,sha256=MtRDqcyH81wQseEQVL_A02YxeSAYNrR9H0FXPKw03Ig,4054
torchnlp/datasets/zero.py,sha256=7yPnMfpW-bJoO8j-o_nsLEY7fG7l5v0R5wIdXuDUDk8,1613
torchnlp/encoders/__init__.py,sha256=wGPGrI_ETHghajG1GoHYePix7GhifwDA3NOc0JnGd0o,153
torchnlp/encoders/encoder.py,sha256=3X6h_NEl5RKaZ2tydBV0VabcIe4C8sPGDQcvDAJh19A,2301
torchnlp/encoders/label_encoder.py,sha256=eVrimdZwWu0sUpIHcQyLwN-vfZD8_Wz1HieKbp4CgUM,4327
torchnlp/encoders/text/__init__.py,sha256=15S__vizMa9J8zAgem8YOJSRP4cY4yu_h8v2gB2cAi4,2201
torchnlp/encoders/text/character_encoder.py,sha256=yrrTEcH5Qs6CxMpOTxAxQabPrtae6c4vxgoBxEt_c48,874
torchnlp/encoders/text/default_reserved_tokens.py,sha256=3pudvP5WfqdGOnRVlpKGdyuD1HWFGuDfcnTQtauPvUE,772
torchnlp/encoders/text/delimiter_encoder.py,sha256=Q1On3ov8TtqehjABNf_UAqkMnso93nNXk5BlYWKybSM,1440
torchnlp/encoders/text/moses_encoder.py,sha256=2H22b5BEYosiN6qNbSd-fSNTOygMgA32paRRDZzrrqk,1848
torchnlp/encoders/text/spacy_encoder.py,sha256=-_du6B2xCtKqWk9xO4tPJONUZ0pCbTmwKtItHGCWVfI,2789
torchnlp/encoders/text/static_tokenizer_encoder.py,sha256=RXs4MeB9aBAhNB6KE6WI7bSi-XGb7DZdaZ_00p-XtTY,4794
torchnlp/encoders/text/subword_encoder.py,sha256=GlDlDczfOUCYhWg1vlG385XDk3xa6_ucWkqgCUcAy6M,4859
torchnlp/encoders/text/subword_text_tokenizer.py,sha256=CEOgbYPjJH63zqQZRBSGWP7jtz3h16nsDzX6wPPe7Eg,16551
torchnlp/encoders/text/text_encoder.py,sha256=7aLKmsS9f7CZdt6KZL-UQYBYE-Br2Ho-oe3gpOoT4T8,3613
torchnlp/encoders/text/treebank_encoder.py,sha256=DprXLJpEJkB8ppXWyfDMjTRm78v1PtBbSsSsiu6QO4Q,1775
torchnlp/encoders/text/whitespace_encoder.py,sha256=3etigi8Re1d8sErC4S6j2g6KeLn6CDcgUdg9DOs4zGM,792
torchnlp/metrics/__init__.py,sha256=Dl7vGrBG2AY6VUc89L9gQm9XmeBRZH1MjN__us3hYUw,607
torchnlp/metrics/accuracy.py,sha256=wesjdYMMEqKQVcbTO1G8QWg59ojWA_KqR35jH1H6b9g,3510
torchnlp/metrics/bleu.py,sha256=QJRvA_PNlbB6c4Nm_Z0_kbd7qq1-uF1dG1GIeroMP7A,3728
torchnlp/nn/__init__.py,sha256=T7TQFLaBzn4oyCyysv5N_-ivMradVQxldNAYelhPWTQ,499
torchnlp/nn/attention.py,sha256=0rxX6pXeX68hMExv0pmbZBMd9cQJjrcaAwmRWWf8C7Q,3717
torchnlp/nn/cnn_encoder.py,sha256=G3iXMnWjcS2Stf44E28oXOwS6wo0l9NqLXii6LeOVn0,5905
torchnlp/nn/lock_dropout.py,sha256=kUSqOotiXmdRiw9tU2odqIf2N3N7HTmhtWVFxidS9mA,2730
torchnlp/nn/weight_drop.py,sha256=17XRTzn6c5fx8kCdOem6vsRVnHgEyLIPJ8ZkINl_zmM,3368
torchnlp/samplers/__init__.py,sha256=GcparSV2K-yWVhTFIq5ndfBZH4mx93zdB2LChAmyBHg,1112
torchnlp/samplers/balanced_sampler.py,sha256=XDTOgMa1LijZBIdfH4bVTTwAbFuWf3OzfV4xKfGwuhM,1462
torchnlp/samplers/bptt_batch_sampler.py,sha256=ujG1U1kjIoVJ_VpeTht8M_CIMjRP-3aryoSxMAATKaw,2966
torchnlp/samplers/bptt_sampler.py,sha256=RHsH_pPqtH-WiR_5AL1ejakvQ7XO4SuwmAaQSbP6jnw,1395
torchnlp/samplers/bucket_batch_sampler.py,sha256=S2CXWDRcqUVuI_03tq0fuwA8L5YM_AnmHXP3wq_2gmE,3046
torchnlp/samplers/deterministic_sampler.py,sha256=xjCahTtHZfRCARc6aEP-bwt9XpUwJok6et60e9WGI14,1554
torchnlp/samplers/distributed_batch_sampler.py,sha256=9CFApfQyMZD2WeBuLx_02vyFU-WClbAZWTq4aLzonkQ,1347
torchnlp/samplers/distributed_sampler.py,sha256=WcfDcX07PMNHn-uSZMfIZkqi82Gb3P4A201tIJ5Zha8,1510
torchnlp/samplers/noisy_sorted_batch_sampler.py,sha256=JSeTeYFso5UemC02pL3FFL-zOzQiL46QllICcRi73U0,3521
torchnlp/samplers/noisy_sorted_sampler.py,sha256=zT_EMjBOa6sgj-qp1hjbuPTKLTtzEdTqmZIFce4ssS4,2053
torchnlp/samplers/oom_batch_sampler.py,sha256=kStWfoubo8Lz7NCngYVfuIy12DGOJyM6_xhkwWq9eXo,1895
torchnlp/samplers/repeat_sampler.py,sha256=iPIXBpeM_9hV2OC-eFoz-SKH3WpPYq58v7ank9aq8JM,530
torchnlp/samplers/shuffle_batch_sampler.py,sha256=TjE-sOcXMlT46A0lCE6vnXKViNd7V06jKqM3pYhlX4Q,1449
torchnlp/samplers/sorted_sampler.py,sha256=qJ8xfMYCkGJYX20z3pXPJkPoplk17MLI6aQeOIpJeBE,951
torchnlp/word_to_vector/__init__.py,sha256=6uOuln2jl_DBFU4dpNzTZJ_QpAm8oWXn-y494FgZCLc,327
torchnlp/word_to_vector/aliases.py,sha256=c9m4fHIK4SQIEsizShKBuYWRLzq5IfAN9Vrz2te9NcU,1034
torchnlp/word_to_vector/bpemb.py,sha256=udR6R02eIRJX1PAc_JFv4O3fcTsNzDizdsCaA3kn74Q,5398
torchnlp/word_to_vector/char_n_gram.py,sha256=URwharaI5fgjLPurD9KnqxG3ISFWTvgLGkWqnoANHa8,4516
torchnlp/word_to_vector/fast_text.py,sha256=EsxYOahtBTy-5ihZlxuHNjRGBkFEw3BWqtnjFs4FWNI,3975
torchnlp/word_to_vector/glove.py,sha256=LkPuBAigbrClJCV5wIT6QBJPYHI1dOpDsHzkMgJhjmY,3579
torchnlp/word_to_vector/pretrained_word_vectors.py,sha256=1vL4jdWF6wb4oOg0Tah8umSwRRMednJPLbF3xDroJw4,7797
pytorch_nlp-0.5.0.dist-info/LICENSE,sha256=AmNE0qWgt9RC2nESscxLIhbf-ilKBMXwJOGD7QL7G_w,1535
pytorch_nlp-0.5.0.dist-info/METADATA,sha256=YqaMOGAzjBt0xHI2qzg9iogu4WiFMsyRmlFOWErmkso,8980
pytorch_nlp-0.5.0.dist-info/WHEEL,sha256=p46_5Uhzqz6AzeSosiOnxK-zmFja1i22CrQCjmYe8ec,92
pytorch_nlp-0.5.0.dist-info/top_level.txt,sha256=2rtt4jcb--y0UFB8W39-d_2JffwqynQmTVGdWoJ4b4w,9
pytorch_nlp-0.5.0.dist-info/zip-safe,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
pytorch_nlp-0.5.0.dist-info/RECORD,,
