nemo/README.md,sha256=emnQAgtj1BKeHcZlwmVKhOSc0vosGdeMiA8aMZMKtzE,1660
nemo/__init__.py,sha256=j5buYI7tIqriDlj0fvS8FqLXj568iJm08LyEIS2lAjs,1249
nemo/constants.py,sha256=VGWQlRS4NjBDGwtrWE-_YY1BphfDEsZPWRqjUsNm7Vs,1441
nemo/package_info.py,sha256=VWDdFLjZ8FZvNvdMEYlPhBVS3gTuKb3zAFCb8Ml8MLY,1418
nemo/backends/__init__.py,sha256=wRCmqrBF6NRf38EM4pA6kheXCRq8jlttDNB0yxJFwpk,967
nemo/backends/load_backend.py,sha256=HgvVXAUtndqc13I-WC9OgrDdpUOnFC5dIxtHHaYHur0,933
nemo/backends/torch_backend.py,sha256=b2YDHayqI9r-qVjpDS7KdxrcOfkZALHSyAHj2S8mjsw,2224
nemo/backends/pytorch/__init__.py,sha256=Dqrqe6KOaj_MeE65T5K-vg91wjAfRs8biFQ1FmfLs30,291
nemo/backends/pytorch/actions.py,sha256=0ZmU3l9v1zwMO7UsRMdDFtmXuMKrXI0gSnr-9c82k58,74223
nemo/backends/pytorch/module_wrapper.py,sha256=HKsrJPL836Rc97JY19S7YBjfcFVhJGl8VQ3-JNzUl3k,3019
nemo/backends/pytorch/nm.py,sha256=tCLn6YCGhuSE-h-oNCZyo02u8LNRyfieNun7u6euNd8,14265
nemo/backends/pytorch/optimizers.py,sha256=tXJtTe1T2vDT_0eMeSOua-iNDNvtTsgkvsQBaOaE4yc,9459
nemo/backends/pytorch/common/__init__.py,sha256=K6A--Circ-3iEU9Ne4MqSn-98IcZU95b6yn5F3d4uik,352
nemo/backends/pytorch/common/losses.py,sha256=qoUxZVIjEv7BFlogkYv0nOj_Tym4WoeS3E_TLxTSLXY,10239
nemo/backends/pytorch/common/metrics.py,sha256=CHUoD0W1KEyFFlyRtiKdRniBXL_LXe8DKlyDZ9UQw0M,1097
nemo/backends/pytorch/common/multi_data.py,sha256=vbxzT3UrzC2etFjWUaOjmjnVmApvDvQWebUqAjcSFP0,4732
nemo/backends/pytorch/common/other.py,sha256=-9DCa_Os3E-U4GTyfj3beP6YLsfnjAYA-2AnnE3GeHA,2235
nemo/backends/pytorch/common/parts.py,sha256=_2ydRVT6-uhC5RaGZ6_2_zEWCpx0E5Vebr_zqPHVh4w,3417
nemo/backends/pytorch/common/rnn.py,sha256=XxJqZZ1wExkMu1NT4ucGZ7o7R5WQ6aTO6IoGZWMews8,10208
nemo/backends/pytorch/common/search.py,sha256=_vv23noriLdlfa5mxT1tQq7CVIgELq-JQTLc4swKnkM,8426
nemo/backends/pytorch/common/zero_data.py,sha256=49sqGnjIeapYGpzvimUeGBw6auksFC76EIHOQSxl_m8,2892
nemo/backends/pytorch/torchvision/__init__.py,sha256=ugzTRo0Gs7mRbppWv_FGJum1smTTe1oKuvnrrg1oRqQ,60
nemo/backends/pytorch/torchvision/helpers.py,sha256=XbxW-meiJro9kdTaKtop5S6_jZ5-8w_ks6oKdzAoBAE,2325
nemo/backends/pytorch/torchvision/data/__init__.py,sha256=re5oD3DmXiFqKOtZOiz9Ok5iIQbgs7syg1c7ct3jv5E,87
nemo/backends/pytorch/torchvision/data/image_folder.py,sha256=HWMFn1NbQleuXWFLWQVUDbJKbH4yIqkRvMAxSjQKJ2I,2883
nemo/backends/pytorch/tutorials/__init__.py,sha256=p29yF6NbvQ3XuwyA1S_vjqcxkcQyMku6_xCGMo1rtKE,83
nemo/backends/pytorch/tutorials/toys.py,sha256=-6jOdUm1mzOsbaEGz78HrVpCI8waE3WFExViPTrbQ6s,6319
nemo/backends/pytorch/tutorials/chatbot/__init__.py,sha256=9VdDjzZrWqqViAcDJmy1oLnhar44hTWDq1KzJl3DbJI,83
nemo/backends/pytorch/tutorials/chatbot/data.py,sha256=HxVWd9W1RK2O-_qWyN15SU1k6Ncrn5KghfpQOo0okes,6682
nemo/backends/pytorch/tutorials/chatbot/modules.py,sha256=s8G8mkCx5WOeq1DacA-IbtSY-f_hUro0Gi9YvBA2nHM,17448
nemo/collections/__init__.py,sha256=iCV_xH8JrYmlKu15I3jCnMwo3OL_ukqsNGlC5a-hQNU,717
nemo/collections/asr/__init__.py,sha256=GBpRnpA5Q4-VJMpil4jKyrqo4I7cWc8cGpQ3LoVbRWY,2316
nemo/collections/asr/audio_preprocessing.py,sha256=KX4HvUJZvIQTisrlr_NNPzMvO_oITufitywb1Z82sDw,34548
nemo/collections/asr/beam_search_decoder.py,sha256=-kX2BsA1eq0jfZiI3vlRwhtVbRo94Va-v0NZoWDw-BA,4614
nemo/collections/asr/contextnet.py,sha256=CILM-7VmwCcD_O9biQLrdZkKcokUREvKFONY0sRO0fI,9189
nemo/collections/asr/data_layer.py,sha256=Xz-tQGY1TX8DVqJR0OxxknknPckK_EhKStLg0FF6fls,37212
nemo/collections/asr/greedy_ctc_decoder.py,sha256=m66KclfX_dsX5_UDEtj7h2Jff4UkakVpaJFifP4WS5k,1687
nemo/collections/asr/helpers.py,sha256=ldNzTzpHWDT8zaoPU-oh5hngUvwved5C0ilQdHE45fQ,10082
nemo/collections/asr/jasper.py,sha256=rZZbV4yKTaZOo1uDzXCYXhexNx-sojLPSv4B7cJ3MmY,21101
nemo/collections/asr/losses.py,sha256=PYYN3Aajp56WNzIX66rPS1rLJRc7EI1CkxKbZ1wLgZk,2479
nemo/collections/asr/metrics.py,sha256=k-7GZuvh3Z2TaV-9nebKLiivM_XJWCfWVjEoZ4JxeM8,3565
nemo/collections/asr/las/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/asr/las/helpers.py,sha256=wutbrfY0Sb0fCR-Wd-0riIpq-G8uUjZu47-54w7rHFw,3411
nemo/collections/asr/las/misc.py,sha256=LCPu66kkPX0MRmFMuL_uROK1NmmN5OA2PJDsnNnObG0,1804
nemo/collections/asr/models/__init__.py,sha256=w8yoQkSyBQ8I8D6TAKMS0r9Tm-JXyTvLgGMCEAp6RaI,124
nemo/collections/asr/models/asrconvctcmodel.py,sha256=qjh1PDRfpNr8B-F5Pcmiex4xoybZdrUQGFdchLPwViw,13856
nemo/collections/asr/parts/__init__.py,sha256=BpAl2YABK_l98y432aH_KfefT07AHNs3UAFxFlRQ7-c,165
nemo/collections/asr/parts/cleaners.py,sha256=g6Eitcn4hsRkOD3KV4wtiZhTkUeOpgPg1zrxhxmI3LI,6010
nemo/collections/asr/parts/collections.py,sha256=117M5ZJColNnnIryhbYBWZsJE82PWw2yP4gqRQc0KC4,11136
nemo/collections/asr/parts/dataset.py,sha256=xCDMqbEuS1ii9HevnzlilYxiBvaq5Vh8W9xzQAFjU_8,16955
nemo/collections/asr/parts/features.py,sha256=ihKrPvoAgJSSiJEM2TzloAH7p9FZJS0ve6AwS8Hf3x8,10886
nemo/collections/asr/parts/jasper.py,sha256=8zs8VSQoklCgTkM1x0orwBfaD4tjUfNs5nKKLjpDUNI,16875
nemo/collections/asr/parts/manifest.py,sha256=F0_fbXYDrUu9cmVv8N1jdFBycUrwVuwY2uL6zVB8skE,3445
nemo/collections/asr/parts/numba_utils.py,sha256=eUlFciDJNBkgEr2gwm57gqVXG1a6vhb5g9KaI32-GQo,3373
nemo/collections/asr/parts/parsers.py,sha256=s9EEgvzX1NYUlffYQv4Qbd1Y9S8W4cZ2erHnH2HYoyQ,4993
nemo/collections/asr/parts/perturb.py,sha256=yCRMl7Oa-YwhO_hHk4zTv8el1rJW2lqXw1YEzjjoWts,14404
nemo/collections/asr/parts/segment.py,sha256=fMenwRqKZpFEqlK03xKqmYTNBKGblwFrSs83LiWhoRY,7111
nemo/collections/asr/parts/spectr_augment.py,sha256=2cO5eKhlIuuBCF0JbYXC55xfRuQL0mH2qMJ8fHwPsxo,3646
nemo/collections/cv/__init__.py,sha256=WLU1_QUUQ4REGy8Rc3FN3ZafNG71ASzy2uEf6tLyB6U,857
nemo/collections/cv/examples/cifar100_vgg16_ffn_image_classification.py,sha256=78HjZJBX10ldWwy2BES-KFp-I5KkZYQuaKWQ1MOXa0M,3179
nemo/collections/cv/examples/cifar10_convnet_ffn_image_classification.py,sha256=-Hww4epwwybhwZiP6uBqApNzV-aUzGDT5rltcmMkixc,2966
nemo/collections/cv/examples/cifar10_resnet50_image_classification.py,sha256=oR-Rs3Bb5l1E8CHQT_s7OoV70Lq4oN2HPOHV2MLwr-k,2799
nemo/collections/cv/examples/mnist_convnet_ffn_image_classification.py,sha256=5zbi8Riuj16y3SVPpD7z_QnnN3McQvQfAhQSwKgOkGQ,2989
nemo/collections/cv/examples/mnist_ffn_image_classification.py,sha256=UmyIFvaRMuRIZFTwZvdFKBiKLhjkdY0avtItms9URgw,2893
nemo/collections/cv/examples/mnist_lenet5_image_classification.py,sha256=v_S40h6bJd740DhzymGejPQPOm_o3H7zrO0cmjaQWeA,3757
nemo/collections/cv/modules/__init__.py,sha256=BZ-tTnnNPkAm_DyFkztAIyKexFYmLWEX_ojdRr4zMm8,942
nemo/collections/cv/modules/data_layers/__init__.py,sha256=bWAi-NftJ0qfgoHxKvBISE8EQMMCynwsNwgpytmA-Sg,972
nemo/collections/cv/modules/data_layers/cifar100_datalayer.py,sha256=N0rLo5EFzFxAnx3pXelTw-ZqjKg36nVM0yv_t_8m24M,9058
nemo/collections/cv/modules/data_layers/cifar10_datalayer.py,sha256=4gGgqCkIiHO45gIJMePmmBkbjvqQnpmWaM4ZJndsleA,4401
nemo/collections/cv/modules/data_layers/mnist_datalayer.py,sha256=dmus2UjgvP5SV47rMtLW9Vd6-o4TMqRWl5lNdCQW1t4,5047
nemo/collections/cv/modules/losses/__init__.py,sha256=4OZ2zaCO6AI9dKdjzqecb1OwivflPiZt6J-0zfl1J4k,815
nemo/collections/cv/modules/losses/nll_loss.py,sha256=Xj2p1mJihmauyPTMfWpafdEwaqxuVAD08RJuL8NjF2U,2044
nemo/collections/cv/modules/non_trainables/__init__.py,sha256=1dPYpKh5lRuFphqC_H4WMYHJrv7EZYDwkcnE1bq6t_Q,900
nemo/collections/cv/modules/non_trainables/non_linearity.py,sha256=-hOIBSRRYyJpNT9rchb_zinQEhW4l7i3_vWBJz5k-VI,3674
nemo/collections/cv/modules/non_trainables/reshape_tensor.py,sha256=a2rqWlIPVHQK83a6LWp1o7YHxnFAn19E-SIu8WLXlyY,4724
nemo/collections/cv/modules/trainables/__init__.py,sha256=yFD05SXCS8qSvgGxYQ2EqewV7gO07lj8piB-op67xV0,1027
nemo/collections/cv/modules/trainables/convnet_encoder.py,sha256=1dQU0758dnxkhfunoXex4J2uaqyuqErBnCj6A-8LXVA,13772
nemo/collections/cv/modules/trainables/feed_forward_network.py,sha256=QQnXauUiJipITzuUUik4I623bbsp53RIlyeLG_S66ig,8239
nemo/collections/cv/modules/trainables/image_encoder.py,sha256=7YT1TEuk7tXukS3pLRe0qzr2_AoUfuP5wB0ykrK41fU,8434
nemo/collections/cv/modules/trainables/lenet5.py,sha256=gYDj64JpudYQO8JfrCcKAOoaHfmORECOv9-ThlbNO_I,3257
nemo/collections/nlp/__init__.py,sha256=gdKJGymYof3EOFfyIvgcuUa9UELjLQaKS6QHtVC2FhM,862
nemo/collections/nlp/callbacks/__init__.py,sha256=h9aO9Qgci-e7chWoXTJfGZZTbcYjlx35mU4dOW0UWag,1392
nemo/collections/nlp/callbacks/glue_benchmark_callback.py,sha256=gY3AFbaRx6auBAAeiSlotYrAM17alb_dSKxJAJnSyH0,4282
nemo/collections/nlp/callbacks/joint_intent_slot_callback.py,sha256=FK8ueoTwNe1i_jU89PFr0G5p6j13ejiVPP-3WrBsIW8,5599
nemo/collections/nlp/callbacks/lm_bert_callback.py,sha256=rEvd8_lRobMK9IGHEnBYjmHZTyS_39FZKxmyKPK3u6U,2636
nemo/collections/nlp/callbacks/lm_transformer_callback.py,sha256=IZSJRh7_95NdYwzZMvvLe9w1T3eCfbQfQDVtC5ae9Eo,1739
nemo/collections/nlp/callbacks/machine_translation_callback.py,sha256=0_4uPLKf351-BLcvBMazV8XVeiTA4KVcJaf0SkiBJ60,4676
nemo/collections/nlp/callbacks/punctuation_capitalization_callback.py,sha256=uS_tqOmUk56bVtSa3u8cSu-KauRojd3TPqz86J1_oyk,4980
nemo/collections/nlp/callbacks/qa_squad_callback.py,sha256=8zULNIKbjx40GH-Wi1rOahnqthdAyZ1b73c9RiyiccQ,2796
nemo/collections/nlp/callbacks/sgd_callback.py,sha256=Lyw42OrDPCQsI9ahl2Hoz9NoebyCNAswGGh-vzz4Tdo,9162
nemo/collections/nlp/callbacks/state_tracking_trade_callback.py,sha256=vd3t8hWzmUxHqjXatHOqteQ_YOL9oESOclhf5wLW6BM,4428
nemo/collections/nlp/callbacks/text_classification_callback.py,sha256=2jsubCh8cdBUPDVYIcUCWEWH8YnnB_4QCWrc00ozELk,2613
nemo/collections/nlp/callbacks/token_classification_callback.py,sha256=8PeJDg3uWKg7kcpNPyN1WLvIJCUOaR0dccWoosXwy_M,3540
nemo/collections/nlp/data/__init__.py,sha256=xN1zamHK1bdIefVaAuTIW2MgsW2hhdzah8Yu-8dv0w8,853
nemo/collections/nlp/data/datasets/__init__.py,sha256=aqtZMtrqkQTTKe9Afap-NQ3wn-__FzVPqmg1xnFAhyE,2172
nemo/collections/nlp/data/datasets/lm_bert_dataset.py,sha256=j0qHo3Q4O7mto0Kz0f-Wxw6asafPzznLRwmJFITe-NA,18291
nemo/collections/nlp/data/datasets/lm_transformer_dataset.py,sha256=mLU1b2D5Z1PafDUBxZWfhYjjogD3HsKMW3U9cuRje1E,3718
nemo/collections/nlp/data/datasets/machine_translation_dataset.py,sha256=aIVxbUUvjAlZamK38kdKB2mAIiFFEnzHvd7lL643pMA,7577
nemo/collections/nlp/data/datasets/multiwoz_dataset.py,sha256=I6n2-ExvJKUrVOTuGntYDUQfrw35HC1xmgHQ2FC3P4s,15781
nemo/collections/nlp/data/datasets/punctuation_capitalization_dataset.py,sha256=CxTlBJGCsEHpKXdiWBOedR1RQ20VyL5Mo3H2k-Uu0Os,16264
nemo/collections/nlp/data/datasets/token_classification_dataset.py,sha256=xLWrbVLqomNzt2Z0MkWfIUMGqA7sDGTVkBlejIDV1Yg,14214
nemo/collections/nlp/data/datasets/datasets_utils/__init__.py,sha256=L5RdBAKqSSL-WGyc-D_PFf5rr96tasIXod2ICcXznXA,920
nemo/collections/nlp/data/datasets/datasets_utils/data_preprocessing.py,sha256=yBrQFGrDva9uM_XYb2k2z7Tj0-QxzXIksfJoxRiVDUU,11244
nemo/collections/nlp/data/datasets/datasets_utils/datasets_processing.py,sha256=7rnXbOidrhRLEsrwcuW67Sd03DIihcIsFcYUsfkHa1I,1812
nemo/collections/nlp/data/datasets/glue_benchmark_dataset/__init__.py,sha256=z_NWZvvaKEy0U3Uwh2xoHe8Nvf1ObtD0sh9tcZ6it0w,936
nemo/collections/nlp/data/datasets/glue_benchmark_dataset/data_processors.py,sha256=dlBY8c8CM2KGglDQpEoyCm4Q6f4_AICcaiaplrUnnyw,11495
nemo/collections/nlp/data/datasets/glue_benchmark_dataset/glue_benchmark_dataset.py,sha256=q14mAplYb-vH3YjRu5LbLr4x6hTzvzD4h-RXUekU3ZM,12743
nemo/collections/nlp/data/datasets/joint_intent_slot_dataset/__init__.py,sha256=n23_h99rf_gfijusbPqznE5JGmi4Arlkf08OvhoNzso,1049
nemo/collections/nlp/data/datasets/joint_intent_slot_dataset/inference_utils.py,sha256=eMWBtuL4sNTE7F9k1ZLc0WLah6LcFllFzWjueOHO2AY,1974
nemo/collections/nlp/data/datasets/joint_intent_slot_dataset/joint_intent_slot_dataset.py,sha256=yegaJ5gGEWv-NQ4Ub4VkvBTahQSgMuXtMf1yNr1hKMs,9705
nemo/collections/nlp/data/datasets/joint_intent_slot_dataset/joint_intent_slot_descriptor.py,sha256=ad63NsSY_OtYe9BdyQLPJy_p8yUhXnMW9AiKtpysW5c,6341
nemo/collections/nlp/data/datasets/qa_squad_dataset/qa_squad_dataset.py,sha256=g50vll-7orWcSnUs86oUwnSWSkTxoOeOiZnJxBoTiwU,22168
nemo/collections/nlp/data/datasets/qa_squad_dataset/qa_squad_processing.py,sha256=CJd_jXf6FEblUMwGbcyHvdoY9sb4rudxKsQgcggLK98,11657
nemo/collections/nlp/data/datasets/sgd_dataset/data_processor.py,sha256=y0zn3hggQg5vrUWq-v1M9netBaj_p_UhmnSeqO-hMKw,22923
nemo/collections/nlp/data/datasets/sgd_dataset/evaluate.py,sha256=t1CfKOpP49EoGbslWLULJJJ5Vuje8c68x7mf1fKCfaE,10040
nemo/collections/nlp/data/datasets/sgd_dataset/input_example.py,sha256=-kBeeDeyLouCIzp99lhrbS826W8p_6P9d0HJj4yquJU,19179
nemo/collections/nlp/data/datasets/sgd_dataset/metrics.py,sha256=9Nknk5dUS70otq52rhKwM8d7xBhUBzB92M6SfUgASyg,11535
nemo/collections/nlp/data/datasets/sgd_dataset/prediction_utils.py,sha256=cMaEwUtD1huLnCw4nTN8Twthx07YxYwXSc12M3vwDzo,32922
nemo/collections/nlp/data/datasets/sgd_dataset/schema.py,sha256=6VqjMmNvGryIJcPO3H-KISv7gtxcsFBoyKIuAWX6AXk,6728
nemo/collections/nlp/data/datasets/sgd_dataset/schema_embedding_dataset.py,sha256=ltghg_EFhR47BGDyxhqCsA6PpXd3p6CzQs_MIoW2KhU,15498
nemo/collections/nlp/data/datasets/sgd_dataset/schema_processor.py,sha256=NRSebb5vI77yVZlca0eUNcgJabUXQtD2kA11Xm21zS8,7325
nemo/collections/nlp/data/datasets/sgd_dataset/sgd_dataset.py,sha256=m0gdya7CzAD-SU7T6mt-buwkES02uHzTNuMXSCg0qBE,2652
nemo/collections/nlp/data/datasets/text_classification/__init__.py,sha256=GBVi-S2KZ634HGs6EpJ5SZIghpz1YFnQJx3ixDnqcek,950
nemo/collections/nlp/data/datasets/text_classification/text_classification_dataset.py,sha256=8ghW5STmUF4rZD04NWc1GrRxOi6lXxzSmAqAeRvxcoA,9397
nemo/collections/nlp/data/datasets/text_classification/text_classification_descriptor.py,sha256=5StiI-WmWrW2dHvfSLV4xresL59QeB-xqCojGubmihU,2030
nemo/collections/nlp/data/tokenizers/__init__.py,sha256=fprXG__pMKWsu1B8oUCe9lfvHhSVBJ5tyrfq1-GBl_I,1330
nemo/collections/nlp/data/tokenizers/bert_tokenizer.py,sha256=hxwXKCionFHPDnfgVA4vegESgBxaIDtcTdlW512BO7s,5236
nemo/collections/nlp/data/tokenizers/char_tokenizer.py,sha256=CTpgLMMBMXNkXeHUPKCt4GR0HEzqeYP1-APaTrR2bHk,2484
nemo/collections/nlp/data/tokenizers/fairseq_tokenizer.py,sha256=J1CpxLTnP-XhwMfStpZBmIa2LoSwe_oo0qy4Rwp77N4,4015
nemo/collections/nlp/data/tokenizers/gpt2_tokenizer.py,sha256=Bf1eHivaBEHEJI9xkGn3vLzDLuGUHJ8jyJMb5HbPzC4,2914
nemo/collections/nlp/data/tokenizers/sentencepiece_tokenizer.py,sha256=A8CrJ5PBHlF7TxdkAEM9ak3PSzXPFkwhpes2b1lXeyY,5531
nemo/collections/nlp/data/tokenizers/tokenizer_spec.py,sha256=t7Bvt1bJe6jtgZTHEKqwUL5dCqiHrt0u9MvOULbLMjE,1400
nemo/collections/nlp/data/tokenizers/tokenizer_utils.py,sha256=Bx9iuzqMQzNvD4SQz_s6zVdU7lk1LaSJksz5CROh5Yw,4400
nemo/collections/nlp/data/tokenizers/word_tokenizer.py,sha256=Rztdqo7JtFJZGp3Tm-liOnAIzDCDAfgvH9r86XL9gbM,2487
nemo/collections/nlp/data/tokenizers/youtokentome_tokenizer.py,sha256=jYxdw4SqCA6ggzr4WQyfZ-NoGWc5vupnncpGAK_UXa4,2201
nemo/collections/nlp/metrics/__init__.py,sha256=il23j5RFoelJE9JdcTV5HphCUBDzOtZWDp2ZgZYY-TQ,801
nemo/collections/nlp/metrics/bleu.py,sha256=nbZY9K6aeutZEk8Z6cV8OtdhRfQlMiv3qimMhVaHdkA,5167
nemo/collections/nlp/metrics/sacrebleu.py,sha256=XwrB4WaMVC7noCiaV4DNK4L6Kw4ZBADtY8fcXIhXRw4,96411
nemo/collections/nlp/metrics/squad_metrics.py,sha256=uUJCitdJT44AdlOS7S1dhdDEusY-ixXVQ7g5lUnlpI0,8509
nemo/collections/nlp/nm/__init__.py,sha256=jTaRdhhjLPsJWn-QcU2h6pL6X2r7Tbt2I8ZXaYUs8DI,876
nemo/collections/nlp/nm/data_layers/__init__.py,sha256=fxJ0dYQNCxMF4SfvhLnb8XTHixAW_C26xJBUMmdqkBg,1746
nemo/collections/nlp/nm/data_layers/bert_inference_datalayer.py,sha256=y1k8pUDT2VT0sTkY6iM-3yyZBJ9aTu3V-jsmCFkXCto,2540
nemo/collections/nlp/nm/data_layers/glue_benchmark_datalayer.py,sha256=44QK-9-MuwzdKFXktMJp3e9HvjgPNT81DGeRZOfYoPk,5488
nemo/collections/nlp/nm/data_layers/joint_intent_slot_datalayer.py,sha256=aQLL0ITCIl2Rm8thXSJ9kF6AqiqGwE5H94uGcNNmpPU,6516
nemo/collections/nlp/nm/data_layers/lm_bert_datalayer.py,sha256=0y6J2SFfqLI-ngqo0UjbqAWsfprrJjdEB9bMCTsSAOE,7558
nemo/collections/nlp/nm/data_layers/lm_transformer_datalayer.py,sha256=1JTAwHny5ubQ1Q56834WwoS0lVD9iHWLpWX0h3Ox0Cc,2887
nemo/collections/nlp/nm/data_layers/machine_translation_datalayer.py,sha256=EI_VyIxcK6kYUnUvxx3GZonnx8NY1S8dDV1yaiXUh1c,4890
nemo/collections/nlp/nm/data_layers/punctuation_capitalization_datalayer.py,sha256=lpyE3E3cawTDMS0MsQHWJDR1J6wEccVrWadp4ZUanF4,5208
nemo/collections/nlp/nm/data_layers/qa_squad_datalayer.py,sha256=3ynWINx6LRJmm4WlrBgjMURj48LItNG_dh7TAAoQV7s,4073
nemo/collections/nlp/nm/data_layers/state_tracking_sgd_datalayer.py,sha256=H6z1qEjW64VNtGOGWsNpJBvBDEuO3FShVZU3E4nYfSA,6059
nemo/collections/nlp/nm/data_layers/state_tracking_trade_datalayer.py,sha256=cM2SGO63ZeCfwyJ8JO-ROjaeL_OdXOTlD2kIm59CvIQ,8034
nemo/collections/nlp/nm/data_layers/text_classification_datalayer.py,sha256=HBML89uBESvAMnm9YlT2QpobE_QW7WzaoVDKERLxhHI,3195
nemo/collections/nlp/nm/data_layers/text_datalayer.py,sha256=v14Ym7otqrcUhLorxuGTb9car2xp0gjtmS7Fu4AOz2E,1797
nemo/collections/nlp/nm/data_layers/token_classification_datalayer.py,sha256=2VVkxiwQbXtQ09vvupmHciKaTgFUTO3sI7xByaLpnGM,6267
nemo/collections/nlp/nm/losses/__init__.py,sha256=NGn3rx9bGHpvjx-JBf7SwxWwCHGS28IjZapj1_fgws4,1005
nemo/collections/nlp/nm/losses/masked_xentropy_loss.py,sha256=8DIcqNyvfeUwieSdI4WoiVfopSwuwN-EjU7_3d52iqA,4170
nemo/collections/nlp/nm/losses/sgd_loss.py,sha256=pa4f3xhtIHHjCoX4FyDlYXndPD5s29aOspmKHi78teI,10785
nemo/collections/nlp/nm/losses/smoothed_cross_entropy_loss.py,sha256=nNJxv8weMv0uYLzBg1VsIey_NGwarci59mXPTDal35w,4933
nemo/collections/nlp/nm/losses/spanning_loss.py,sha256=M2BqtdpD4R74YUEfJYHL_2cgjkHp9Yqoo9foaqnbJnQ,3576
nemo/collections/nlp/nm/trainables/__init__.py,sha256=-lc4gyo5Of0iyq7_QwcOTKJ0Yr4zU_Y7U7EcPpUbIdg,949
nemo/collections/nlp/nm/trainables/common/__init__.py,sha256=9XoNjh8bV_GS-O1-vHhFfZaMGBNkMDrPJ4nt9LeFn-U,1433
nemo/collections/nlp/nm/trainables/common/common_utils.py,sha256=aKgDPeGz8Hv5r0KFBscVEKbDbW3qIk1j7HS6L9nsAts,3670
nemo/collections/nlp/nm/trainables/common/sequence_classification_nm.py,sha256=Znq-NReGoYDUJZFEE2YKSo8G9IUEb38waRE7AcjsKOA,3030
nemo/collections/nlp/nm/trainables/common/sequence_regression_nm.py,sha256=v9uasmLh62iwLupMlcMSAt6EyZsVH690HKDboR6FV0g,3025
nemo/collections/nlp/nm/trainables/common/token_classification_nm.py,sha256=D298tOfJFdNO06So3EnYNokmy4yDKW5KpUQfk5C9oyg,5403
nemo/collections/nlp/nm/trainables/common/huggingface/__init__.py,sha256=82C6Tyzf7_pVXEvh-zqlSE91kRmhrj-muKyxGN8xPf4,1072
nemo/collections/nlp/nm/trainables/common/huggingface/albert_nm.py,sha256=c6uM_Nz3zlc0jTIJXZNwQhuRgSGvIWEPsx9IKCXgHaI,5972
nemo/collections/nlp/nm/trainables/common/huggingface/bert_nm.py,sha256=KQLVoDf1bTc7RHst45n-RG3oa6uUgNz9LwOvU4aWbD4,6081
nemo/collections/nlp/nm/trainables/common/huggingface/huggingface_utils.py,sha256=WTSGleNOO1k1LDdx4ZInmiG92-eudGqtbrEcAfeSA0I,2340
nemo/collections/nlp/nm/trainables/common/huggingface/roberta_nm.py,sha256=W8CJrIk68KvO8E7wr80OIIUpkVw-iWwn4XHumzYa9Dw,5963
nemo/collections/nlp/nm/trainables/common/megatron/__init__.py,sha256=iF1I_Ud9J_wuPKCqRoZruaD11FfYo-9Kk4SMRzko6xs,996
nemo/collections/nlp/nm/trainables/common/megatron/megatron_bert_nm.py,sha256=CdwaFlmGqTAH8qHJjpTB2vpbVGVyVtRQW8JUQv6fj64,4885
nemo/collections/nlp/nm/trainables/common/megatron/megatron_utils.py,sha256=vACgMmtRzIiVjxmTUTxq1VpCwaFn5LsZeGgQ9i_4bLo,4139
nemo/collections/nlp/nm/trainables/common/transformer/__init__.py,sha256=M2h2NASaezwlVgUPm7mNquRSCH6fhL7EQxjCEi00Dlg,836
nemo/collections/nlp/nm/trainables/common/transformer/transformer_decoders.py,sha256=-TY6lrTYrty831YAMFjX64SiiuoDHzY_Gl9-spWAX1M,4963
nemo/collections/nlp/nm/trainables/common/transformer/transformer_encoders.py,sha256=OcUml-nmrFc4TsAxLsPUIlid3MWf2VKFFkJddGstcjg,6084
nemo/collections/nlp/nm/trainables/common/transformer/transformer_generators.py,sha256=FzuVo0RPPs21GY3OdNGQTHv1nJFnsw2xuQ9-St9CR9s,14316
nemo/collections/nlp/nm/trainables/common/transformer/transformer_modules.py,sha256=1fo7QIeUzloBjGL0gGojrckbjqMvbSiwu6Sgbf6iX6w,12862
nemo/collections/nlp/nm/trainables/common/transformer/transformer_nm.py,sha256=n0SGHq6RqvpXjcDjBqCyg43H3AxmcMtc_6lnnbUbxXw,12667
nemo/collections/nlp/nm/trainables/dialogue_state_tracking/__init__.py,sha256=OqAvbA7_VjozaVqWhHzJwDxF6mmfWzDDYPk6xVZzlas,921
nemo/collections/nlp/nm/trainables/dialogue_state_tracking/trade_generator_nm.py,sha256=-jXF4bsKr2UYarYsWG1SEXa6YLPdxxvIml7KALIKwMw,8901
nemo/collections/nlp/nm/trainables/dialogue_state_tracking/sgd/__init__.py,sha256=dTbJyDxfixOkej8g0LPESp4j4uqbGMnWdXuMH1zAHiI,937
nemo/collections/nlp/nm/trainables/dialogue_state_tracking/sgd/sgd_decoder_nm.py,sha256=SClTjsp9-5n9fL5Bx8z2aaYwh3fFPRopDl6FJ1s8VUA,20292
nemo/collections/nlp/nm/trainables/dialogue_state_tracking/sgd/sgd_encoder_nm.py,sha256=0ygvPbBIs4-UfzyhkGx15_WM2oDdg6IhKCGrHGLIMnI,3422
nemo/collections/nlp/nm/trainables/joint_intent_slot/__init__.py,sha256=3xL9z3DiDKLCakLHDX_utXMelIVYkJQq50_83rtP_xU,852
nemo/collections/nlp/nm/trainables/joint_intent_slot/joint_intent_slot_classifier_nm.py,sha256=QYk_2peX9J2gRNzY59hEJerQ3N5mapH9xFiOxCl88CY,3247
nemo/collections/nlp/utils/__init__.py,sha256=-o1R5KVhAhk5C8foymhpDSzdA-nuq07kIeQcu9kgVaM,978
nemo/collections/nlp/utils/callback_utils.py,sha256=T8DXli_bEhOtV5sWv2fI3-N3taJFUn0y_FJcmSJZzM0,4544
nemo/collections/nlp/utils/data_utils.py,sha256=OuvCtA2opkb-LECZ9dFMN4leiKs1VLKaZ8c5Oqb3GfU,1903
nemo/collections/nlp/utils/evaluation_utils.py,sha256=z2IOOWXCPnK0LSmT-Nkpkn2fAWctp6U4XqKnf2iwcCA,5654
nemo/collections/nlp/utils/functional_utils.py,sha256=jQ9OuuOuLSBSVN5aM20-7NDRlIc2GDEl9ukRPm237PI,1405
nemo/collections/nlp/utils/transformer_utils.py,sha256=ScZdccNol-tFh9lT3YD2-kXtJqQCgKG6jqxsq0HsgdE,3026
nemo/collections/simple_gan/__init__.py,sha256=6n20ET2NxLugHjcvNjAgVSiCEzYDxX5_4xv9sssWMlY,748
nemo/collections/simple_gan/gan.py,sha256=8J0G2lrCrEZGlFPVUo0imXuTfdgoLo920QxKV1gm4Yc,13054
nemo/collections/tts/__init__.py,sha256=HI4x3WUT4zK62VoME2BM3selNEbkP7ET7gdfkDkGUvw,1573
nemo/collections/tts/data_layers.py,sha256=OwIcCmH3cgjkLDRKFGGxYZWAvMRlueCTNZnXTmZ3ock,3677
nemo/collections/tts/fastspeech_modules.py,sha256=GnfzoSTpX5fctiufZ3uHhuc12GR-OhozYKP8F2JPCcE,13696
nemo/collections/tts/tacotron2_modules.py,sha256=C7s1vpyqhs4M6QC5pCYpVzJ4796ZU-N3GzwK3SfoPZw,22187
nemo/collections/tts/talknet_modules.py,sha256=1-gSPpE7LDTkCKmAVWya6HSAcEYvG3lUgi92qebf598,35003
nemo/collections/tts/waveglow_modules.py,sha256=jbTVc7XuftwcYlSZmBixfajnMmOHPCrZJ0aCKnCkW_8,10629
nemo/collections/tts/parts/__init__.py,sha256=ooDCOvYYikALob2J1og8Y60w9qk-iKRlHAu6NlxpUB4,1709
nemo/collections/tts/parts/datasets.py,sha256=0vriArsF7AsTuHW6gJzgBx4Olrr8KgA7mY1ruCB0DeA,2036
nemo/collections/tts/parts/fastspeech.py,sha256=xe-c9mtlEaKuLU4PAb-8LJzSQnJ7f_hkfZOsXkx-WXk,5604
nemo/collections/tts/parts/fastspeech_transformer.py,sha256=TnXMlN5tX2RUrkQ0Dc3lEuw7r2V0NL_UPAIKZQwrDXw,6118
nemo/collections/tts/parts/helpers.py,sha256=Qglt8qoqTJzig8Obd_aYdgO1b_xceZLQ-ruwyc3uAmY,7278
nemo/collections/tts/parts/layers.py,sha256=4ncVwMLo6c1AS57uI7wkwczfkLq5cemsPbAx1anXCsM,1573
nemo/collections/tts/parts/manifest.py,sha256=VvXyXjVSPu2T6-zFxRGW0DbCwqSgf5ge0i6_HnawvLo,1889
nemo/collections/tts/parts/tacotron2.py,sha256=suqawE7MSyJi39HSq3U-WwbD-2PGDb4v0vLLB3SopRA,18687
nemo/collections/tts/parts/talknet.py,sha256=WgdOAfpmLu0QEoETqyAGXYSDr-WiAnAhcvT1WXQ7S2o,5219
nemo/collections/tts/parts/waveglow.py,sha256=LGQh7T6FOipODnnRBR96-EKK97TmB0iMuh5vowvI-20,10009
nemo/core/__init__.py,sha256=ef4QZjHDwVvSXRYxkQsIORrVbxewB-Ax-nFXO5L4kFU,884
nemo/core/actions.py,sha256=psdy6qgkPwacTB29OtOuwTbKVe59TlV0pQiUAdUxOoQ,11475
nemo/core/callbacks.py,sha256=46LuPVbPdDGTz9u1oUoDwzP_h-BWGTg12I2y74Y3Gmg,20574
nemo/core/deprecated_callbacks.py,sha256=L3SdrJJhrqHoqjAMmdsL1GlPPToJJZju_uUnAAcD8n4,17702
nemo/core/nemo_model.py,sha256=Yu3fAZ64pXpkaip1Lw08eGnsH-Ile5cTTiWL4nx6fF4,9622
nemo/core/neural_factory.py,sha256=BJCZC7bxx8cchkkouTi7vyA0pWpPzwsrQ03MNtJm29E,19249
nemo/core/neural_graph.py,sha256=Mus_084SiuDJZzrUBGdx19sOXJc176MCMJNmIpa8HTA,42506
nemo/core/neural_interface.py,sha256=rX5jG7np8L4JUhszPtyND-A8U4lp86gv-s3iwssX9ug,2549
nemo/core/neural_modules.py,sha256=TJ3o85mXBeeQIqheiexVdjgIrzjz1CY0njsWrKjLayo,31426
nemo/core/neural_types/__init__.py,sha256=LwlpyH5qHAyL7ki0SAKzgYr0oLr2L58M3jhqqL9utzI,840
nemo/core/neural_types/axes.py,sha256=GofDal3N-DTXWj9XYQkAe25hc_6CEr7TKFh0piKb9rg,3445
nemo/core/neural_types/comparison.py,sha256=496ypo_2X8p-P-WQq3P8XpLZw5TsrokCKL8HaXbXqKI,1338
nemo/core/neural_types/elements.py,sha256=vgjXA3pH16oA-eWOgecALCcPQtBd4s7qxK3dx7pcvxY,7641
nemo/core/neural_types/neural_type.py,sha256=mynmcFWvLFlxmYAbhZM4Pm9ttjoNvndrPc5pf0fm3vM,13741
nemo/utils/__init__.py,sha256=98K8zArTOeFQT0wzDf_EtX30EzFLiTWQAzZf3ip4bzU,1024
nemo/utils/app_state.py,sha256=bZJLd5jicfTJvEDZyhAA3xSlf4KgaKOLnv18Xn5XeBo,4556
nemo/utils/argparse.py,sha256=yef5uMRtUcTZ2Kga5QsKSJ46sSzQo95ckoM2ocLs2tM,5017
nemo/utils/configuration_error.py,sha256=IUgaIjPZzJecwH4wta-PosVnznLzf1RKOvMlss9fRSY,2636
nemo/utils/configuration_parsing.py,sha256=2cbxSIE-lMf5NMPMsiDXxlapzZuMMfMnntsKL2V1Wv0,3792
nemo/utils/env_var_parsing.py,sha256=dKm1lzSHtJsmquxAY8vTeCNCwuYMRwKDaFIi0W0QZKE,6760
nemo/utils/exp_logging.py,sha256=1Iqa9Zq5Ridvz3nRHo_4CMqVZ1dZwCCmZvdZmzS4EBI,8231
nemo/utils/helpers.py,sha256=8H8t1TsMmrBFWrbFQ61j07F36i0nlHRIA5FBwys3ZfY,5783
nemo/utils/lr_policies.py,sha256=0ddOsO7gErP5dqwrGjYytKvzILIwzGsD9O-pX5MuwAo,9097
nemo/utils/metaclasses.py,sha256=GVdGWWUHZbG3vWPCkDCNTlclcxXyW-25U9MOlkRk0qs,1449
nemo/utils/misc.py,sha256=frinHg1v5o3FQleP0SxFVgbDJYZ5Vxi1Nq3k6HaVM5A,545
nemo/utils/nemo_logging.py,sha256=LzzlTkb4R-UI2GHQCQeH2382j5oo77Fu23MJHTTy8jk,13075
nemo/utils/nmtensor_registry.py,sha256=gJuhabLRq9Zrc6HckeQrDjoxyIJKew8vkURzle19Ytc,3508
nemo/utils/decorators/__init__.py,sha256=EnUvvy64kju1QiwYED07ucn2SZrWCPrg4VgW-6o_qnc,665
nemo/utils/decorators/deprecated.py,sha256=P3Vzb1GynfUp3P7MYdcPf5Q05nYbJ2uLw8UG4M8rxdg,2486
nemo/utils/decorators/port_docs.py,sha256=rnr3tUBVNQ7u51A1CvvhwcvWetNThY4X19TJF45Zjbc,2928
nemo/utils/formatters/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/utils/formatters/base.py,sha256=d-Th6JklNKryQOSlfMsNUKHE3w2R45PUQBHAYwQp4FI,5336
nemo/utils/formatters/colors.py,sha256=1d38MqKoNwcNnJvVbTdsFVsZco3p11GDe67mTQ9zwUM,2832
nemo/utils/formatters/utils.py,sha256=XmzGJ9sABzp26MR6AVdENsLgOccxyiOskJBRaYO4px8,1534
nemo/utils/neural_graph/connection.py,sha256=M7A9SsxvZUZSlvU6Wo-3YII2KNDbq5Php3hRTIHqGf8,1338
nemo/utils/neural_graph/graph_inputs.py,sha256=CdRKkuhF-njontU0RZWYVMaz5gsRKeRRR6jTbO-cSM8,8601
nemo/utils/neural_graph/graph_outputs.py,sha256=Tk89WzVHeZihuJDLaxgpwTq1NLGaA3aO-UeADZTproY,12432
nemo/utils/neural_graph/neural_graph_manager.py,sha256=CASnG1nBFdSE8YZB_q5xzVPA2Hyke0iPCNhVe49FcDY,3264
nemo/utils/neural_graph/object_registry.py,sha256=7EYNqqBqXyFYhWugMgLmzSfgOPfr1UVnGCLJIvzLOOw,4569
tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/conftest.py,sha256=xMG2SM4WPo2Q2-yeeDD_eCJKdDbwBoI6_qOsY7ymId8,2260
tests/unit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/unit/test_huggingface.py,sha256=iUHxp_A8GYwVYwpGQFmITCK9OpuuQRcxhTK6KYU99oU,1049
tests/unit/test_spc_tokenizer.py,sha256=4prt8jKdfpssQQC6XgM3MsKzI_4Ux4N8lG0UeEDn10U,4570
tests/unit/test_torch_backend.py,sha256=Pstbpv40kBX7hSbnZGf0bzi0Yxml5EoaNwSl3RIiQnM,2329
tests/unit/test_tutorials_cornell_data.py,sha256=qDlkM5-rc8hgMTsPi1a1mkOZXsbKLmW08-x7UwnyBU0,1143
tests/unit/test_unit_asr.py,sha256=0QBcrFSKkhpjt4NhF_J0-qwNlBsk0tcktC9TwnX27DE,13887
tests/unit/test_unit_multidataset.py,sha256=3etIcDZYIFnPVYYTVUdoa1ccZLnVMd2InStSdW_MyeU,6325
tests/unit/test_unit_speech_commands.py,sha256=9DlZg2Qa4usfB_JUXsvrIOGwRLdBGHs5gfjYnouT5SQ,10487
tests/unit/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/unit/core/tensorrt_format.py,sha256=a8w4rpW1EFx4KCdtoLZrNrKeGSSre_ZUaPeNeaPTBJQ,4375
tests/unit/core/tensorrt_loaders.py,sha256=jEnGZDsALTLAjdvWAPk2UskOB7fox229ByrcAwgJCvo,18223
tests/unit/core/tensorrt_runner.py,sha256=pze4DhbY6zXfrXd6YkSf6v4scWnhxLHMc8JRCLz3n5M,28484
tests/unit/core/test_actions_api.py,sha256=UUaFfqWvWQY6cWzyEttNPtDyfjtmS0loHwVovT6rQis,2728
tests/unit/core/test_deploy_export.py,sha256=DBC1qU4_zSm7Xa18mOi54PTzLt5k6WGZ5ysLazYEiBQ,15792
tests/unit/core/test_model.py,sha256=ORFXUA6PvMoKlWxBPZZ-Kw1_QNxMUo-dy8QKdv_qnCU,2393
tests/unit/core/test_nemo_callbacks.py,sha256=2YcsS9Ap-fm66ixeGUnCdrINmKOTmJYLEUoi9B8WPlc,8099
tests/unit/core/test_neural_types.py,sha256=rx8sDaGXXHVB2dgVLAua2FwawPuolPRqIaZ7wowFWJo,10816
tests/unit/core/test_nm_tensor.py,sha256=0c8LP39nQanTzni5vdaCZHE6xbS99r_3RPp3G_lTfBY,5217
tests/unit/core/test_policies.py,sha256=JJMQHW_RZKZRRDTYns-YJ9YDSDdiDVgqR3xLQ6lAsVc,2318
tests/unit/core/test_weight_share.py,sha256=XVi0lT49LX89TTO7vmFNQCGEvvd0P4e1X1kNurBpwmc,13528
nemo_toolkit-0.11.0b3.dist-info/LICENSE,sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ,11357
nemo_toolkit-0.11.0b3.dist-info/METADATA,sha256=fT0AuclTFDaSgXFy8FbxaN4fNQmJS69g6fRxv5tyD4o,9813
nemo_toolkit-0.11.0b3.dist-info/WHEEL,sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY,92
nemo_toolkit-0.11.0b3.dist-info/top_level.txt,sha256=K6cg0uilSa0oze4yTF6xDkqzTDWQiAMc7VdFKv28aAs,11
nemo_toolkit-0.11.0b3.dist-info/RECORD,,
