examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/__init__.py,sha256=ZIxLt4eYDa_uDKWBweHJFPkl2U7UiVt5THB36x9W6Kg,874
nemo/constants.py,sha256=i6-qlEJrHBmbxWgYmob3uAx_BsjApKKi2zA4dkUVaho,1247
nemo/package_info.py,sha256=H4Uw1MYwVyBGg44JgIIX7CmVIEQwWju2ZvoT6cj2Fcs,1400
nemo/automodel/__init__.py,sha256=ib5ed74o-XEnPYTTzGnhOqOdJto3REtB0bhna7AAJHI,904
nemo/automodel/dist_utils.py,sha256=WWCxnglrmYjAAZbnPNI-t-9TwtykxyX55pMfkZ7lHWU,3375
nemo/automodel/misc_utils.py,sha256=XaIFUX_4eVIzhBLv9OWwNDbhohffvl8OOc0Y5Zpk8BI,2585
nemo/automodel/loss/__init__.py,sha256=f66Pjp4AmAhlhbiP7Y2U30Z55I5nofuyundUuqlB65o,811
nemo/automodel/loss/chunked_ce.py,sha256=TsG7YcjKW0mPhhhX17B_uCH99q3bkRfnf835Cgyl5_c,3474
nemo/automodel/loss/linear_ce.py,sha256=Lkinq--Yv7H_VVWMvMFKSc6b3Nl4zmvVb877oLFFl2A,6843
nemo/automodel/loss/masked_ce.py,sha256=a29Wl8Ae5nhKbtKfbVv7kj30PC-C9cqPvI_CznFzLDY,2110
nemo/collections/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
nemo/collections/asr/__init__.py,sha256=2-r4tyPis-QjeUj9q8U-YZNeDbR3rMXAr1kxRBB4wr0,922
nemo/collections/asr/data/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
nemo/collections/asr/data/audio_to_ctm_dataset.py,sha256=ZcTTY8DnPrv9YKSUL8D1-d7zvjRdUgciuuS1Td-IioI,3578
nemo/collections/asr/data/audio_to_diar_label.py,sha256=tcnPwR969AhQI-jlyFy71OUxqqgcXYg_4F7dP511Njg,63651
nemo/collections/asr/data/audio_to_diar_label_lhotse.py,sha256=JkLE95FW7DySsKc_cxAR1J0WI3aXesB4U6hn2pu681M,3660
nemo/collections/asr/data/audio_to_label.py,sha256=jYgO9dqhQZDD9VR7ZHcIQWnDBqUNiMsen_jvbQZ7wPA,65134
nemo/collections/asr/data/audio_to_label_dataset.py,sha256=Ovk5dWPmJgATJ2DgkTalz-Z3wynRJmgAhRe8OcLkXUk,12939
nemo/collections/asr/data/audio_to_text.py,sha256=wZ7hyB6hp5Jsbx78HsNk-K729lt_1rvBlwRaa_zrLkE,62975
nemo/collections/asr/data/audio_to_text_dali.py,sha256=pwFVdivDgh32BbH5djFCCmgT4P01SDZCxxcyNCkEYqQ,34610
nemo/collections/asr/data/audio_to_text_dataset.py,sha256=xzFCuPiCSuISBspxyTJw3IwfR3PWes1qO4MLYMKIsSw,41856
nemo/collections/asr/data/audio_to_text_lhotse.py,sha256=5gAIH2e0wcWEtPAgmrDMpFbTlEI7hdf4Lh9JNG9YU7Q,2962
nemo/collections/asr/data/audio_to_text_lhotse_prompted.py,sha256=dV_Gb75XUqsgn7H4pbpaI63qSx_bxfBGDHdjKFWXBt4,10905
nemo/collections/asr/data/data_simulation.py,sha256=4TKyK2akCpiZ_Hx5_dxfVpOnU5xHA7GMKNEXAGnJGL0,82166
nemo/collections/asr/data/feature_to_label.py,sha256=21Ug2YntHPRUNL4ojlAzc71ujjXxCsd-HXLasGSK5QU,20403
nemo/collections/asr/data/feature_to_label_dataset.py,sha256=bbh8W8drbv1hAhcWFEjQ43fX-Uc2TNRaIaQ3RWBuOFY,2754
nemo/collections/asr/data/feature_to_text.py,sha256=n4NMSBuuP0ys5pTQh6fT_e0yKOFX0uGW8l4BVA_dbRA,22255
nemo/collections/asr/data/feature_to_text_dataset.py,sha256=7_wFssrrL-zeNWFpzonGEwHZfcvlBf0_hpBh7CvdZCQ,3928
nemo/collections/asr/data/ssl_dataset.py,sha256=6-NE2UYbrp9ICuhBrjIDEAWiU4op_EmZc9RmSgF_DKU,27356
nemo/collections/asr/data/text_to_text.py,sha256=k2Xwy5rkzVYFYKHhejvvv2dAfAw0BH0T7LinjB84fYg,19516
nemo/collections/asr/data/huggingface/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/asr/data/huggingface/hf_audio_to_text.py,sha256=-q37dbLXcKcoWEeYFU1VsGiP8PhE1vMXHMlcB2t5Yko,27693
nemo/collections/asr/data/huggingface/hf_audio_to_text_dataset.py,sha256=c7rgpql3i1mAdf3J1izOAuhZeLMWwShhfYeZOGGNi3s,5972
nemo/collections/asr/losses/__init__.py,sha256=nODrgKVWA04qqbpLleGkEopWsyxcudDlb7XM2TD_mBk,1154
nemo/collections/asr/losses/angularloss.py,sha256=uWql4UDfehiopOGuXwgnLagWpAfNByw6XabIpaRdMkQ,2362
nemo/collections/asr/losses/bce_loss.py,sha256=6SdRPXwrvXAKkKERBt1gWjkc-aVC8D3lpy2jt-I__cM,5844
nemo/collections/asr/losses/ctc.py,sha256=n9-Xgnri8bzim8OxOZS152xpAkuGC-2DFq-58vlBlEE,3301
nemo/collections/asr/losses/lattice_losses.py,sha256=DvcWo1h9AM8m2oKS3AWaa_9LuyrdLWwsIyn40TbXPbE,7727
nemo/collections/asr/losses/rnnt.py,sha256=Ci4JiNVrym-Mcp5XR0hUm3U4pu33pT-MS3c2KwSGD5Q,20243
nemo/collections/asr/losses/rnnt_pytorch.py,sha256=fmQU0nh0E9RwrRJWY53EUSMZWF_auxKFnMASkvGzf0o,16065
nemo/collections/asr/losses/ssl_losses/__init__.py,sha256=vMMg3bGf45lbS5-iie5QLu-MlshMrJJwy0LiTrSjwaY,690
nemo/collections/asr/losses/ssl_losses/contrastive.py,sha256=ZahrKscg1Uv4eF2ABhVgNI3xh_SQhzWSmQBNPOj1efQ,13416
nemo/collections/asr/losses/ssl_losses/ctc.py,sha256=uVpNsmhrbI64ZNHkjO1qHGVh-JHsWZf6iygnD8MewBs,2155
nemo/collections/asr/losses/ssl_losses/mlm.py,sha256=ecvuZ3Am4dA7ip4kTXeHgpNJkjIyaWr0vhzIAi73MSo,5015
nemo/collections/asr/losses/ssl_losses/rnnt.py,sha256=su-X2qcvwjiZ7BMsOMI1WzB2TscSQ_bD96wqtqcKLyQ,2084
nemo/collections/asr/metrics/__init__.py,sha256=7jhYU2SYhOrmIlKpycOYnfiRFz5ONr5hvvoq1fVCPBk,839
nemo/collections/asr/metrics/bleu.py,sha256=5L1nHnxk_DifvoYt0YgyIY98tvMerjXV95Jf4mIQGXA,13323
nemo/collections/asr/metrics/der.py,sha256=qcTWi9P974YW3IJRDjld8iNijiZS3ne0eJNfDgX-MVU,20823
nemo/collections/asr/metrics/multi_binary_acc.py,sha256=nhOvohujq2B0xevVY-FYqFnb9gLODiOGCgpxm_AfsGk,7035
nemo/collections/asr/metrics/multitask.py,sha256=2zgGo19hds9jJJgYljUUyc1JIKu33JHcneRO9BXZ1Ug,16678
nemo/collections/asr/metrics/wer.py,sha256=rKJM880LBRoGMNgOEaF7pZypl5DmHzhJbGGoDgua0pI,14325
nemo/collections/asr/models/__init__.py,sha256=E-1vY0xDH_z2ZQgC8lwRhKKwDY1E3ABIvMLoRrZBcaw,2198
nemo/collections/asr/models/aed_multitask_models.py,sha256=yVz5I4fSAq9VeT5vLvBU-yNQwTD6k6aN7RGe1TnYWHw,63411
nemo/collections/asr/models/asr_model.py,sha256=JfgJFYnPw3gb1FbRcVLXXqR_8_jf1kWUD_pk48S0K8Y,15523
nemo/collections/asr/models/classification_models.py,sha256=gXXzDqcB4WTwEETevwi10V81W5dD4y07fAFvp8yuEFk,64959
nemo/collections/asr/models/clustering_diarizer.py,sha256=EqVFMg8FKgowH6UzRkoqb3kjdqbx2SSOUPjNX5Oq494,23844
nemo/collections/asr/models/confidence_ensemble.py,sha256=kzC0BrQhWbryWqBHyKSKp0Ppo8MCVCzf5O9WOog_6tQ,9113
nemo/collections/asr/models/ctc_bpe_models.py,sha256=OuMHDyuf2DeOzO3bMbJqxFDN_V9KcAlehvMz69IbEi8,34919
nemo/collections/asr/models/ctc_models.py,sha256=uuyFLLNLsqhkeCQU5-R0FltZgrOniur20X8CfxhPjA0,44414
nemo/collections/asr/models/hybrid_asr_tts_models.py,sha256=CDOwb4x-bclqxByh-ZIHiCFD6MqfQiLxfpSE1zmRqrg,27183
nemo/collections/asr/models/hybrid_rnnt_ctc_bpe_models.py,sha256=S5pHv_fJbcntaXdB0CZhWv7BBsvrJFLoMusahCMHdTg,31027
nemo/collections/asr/models/hybrid_rnnt_ctc_models.py,sha256=0IwuNN0ue8luQTjk45ZJqXUi_0NGCSICYAlvhGeapBE,32485
nemo/collections/asr/models/k2_aligner_model.py,sha256=S9StiZcfXKlRLbDYNIE6O7eAwqeUDeNZ26YZk2CcmZA,29225
nemo/collections/asr/models/k2_sequence_models.py,sha256=4EGa5alPLZXdfLwdlStdACsYFF8FYuNO0-Iio_4E-lE,13490
nemo/collections/asr/models/label_models.py,sha256=Vi-7Dq6ksVZ105S938BigEJIuu4aFaAw_SEpeGkp0Q0,37209
nemo/collections/asr/models/msdd_models.py,sha256=WAoXF-wtq1J1FTotohAdQWAdq23xWPsTYjNoEROEA7U,78420
nemo/collections/asr/models/online_diarizer.py,sha256=CNc-YeHXX-tvc4c3QcNBEFa4ahVDHNn-vutJc3YFMXk,26055
nemo/collections/asr/models/rnnt_bpe_models.py,sha256=frAhIymdcEnouxkiJ7xvqKec24CL0KL1dD52K5WBFy8,31237
nemo/collections/asr/models/rnnt_models.py,sha256=jzyZERrDgElO-Lj_ubbjplUS4AjTpW1XxIjd1jU-6Lo,48795
nemo/collections/asr/models/slu_models.py,sha256=-ITfa2XNJdLkMVRUhVaEL8f4_vjpwxCDFMPmnsU0uPI,28023
nemo/collections/asr/models/sortformer_diar_models.py,sha256=gTkOkTEwwEeoD2Eg39Tjqjxvvu22_YMlNrMABIsGe9o,53429
nemo/collections/asr/models/ssl_models.py,sha256=JiKYtHt2hweRvv6aefkH2T0NH09celIDC19ag0Tpm6I,49170
nemo/collections/asr/models/transformer_bpe_models.py,sha256=spfaX4LzvN2yWOnJBZ8Z-oi1PEPYBQReGODNTer_agM,29380
nemo/collections/asr/models/configs/__init__.py,sha256=CDahFktLfcr4DgamokLszUW_usF1qyQOEfdW6U-oW1w,1784
nemo/collections/asr/models/configs/aligner_config.py,sha256=3Kp9CWl4mZBfGajSE8RDTUGqQP1uZp6_QOEZFpXAykg,1444
nemo/collections/asr/models/configs/asr_models_config.py,sha256=-LDS6Yq0_vxloB2YIiyX5hp72sY-lp6DCkMl63fFlGQ,5446
nemo/collections/asr/models/configs/classification_models_config.py,sha256=0GzAuwJNpWGco0raKekoE5DPf-6bnxno8p0POHeiDYU,4221
nemo/collections/asr/models/configs/diarizer_config.py,sha256=XLh6QhKANGChPUQRWYqskQV_832Xu1Y1G8UG4AoBKyE,9506
nemo/collections/asr/models/configs/k2_sequence_models_config.py,sha256=EyOr_P8KnbBYqBrT93b3DXgKZ8f9Njd8G2fyuMym6Yw,1423
nemo/collections/asr/models/configs/matchboxnet_config.py,sha256=cXSs3cRZD--C7IXi0hKrLIFLMIXSTGsYwuNmDyRwpcc,13179
nemo/collections/asr/models/configs/quartznet_config.py,sha256=5mKjwmeb8fJUpnCgSwNyLtFg_rZaivQDxLJPCVEdFMI,20014
nemo/collections/asr/modules/__init__.py,sha256=QIydFjbmS4DuMUCBVlgvRW36i8SVzhqEP0wk03YyqCI,2173
nemo/collections/asr/modules/audio_preprocessing.py,sha256=bExKp64osB4ZL18g7ce383lyyr3QrDXl2NUkKowrrdE,30107
nemo/collections/asr/modules/beam_search_decoder.py,sha256=vnMMo9hMLUrpnQxi4sn86zsKVAlXOZLsmWNo0LBkbh4,4440
nemo/collections/asr/modules/conformer_encoder.py,sha256=x9YV4TmEhJOdtb-EckI_Wf73Puzp7nHgiQial7U0T3A,62943
nemo/collections/asr/modules/conv_asr.py,sha256=8ETILc_Z_jMwHdnhHRotPVi297O7gCtmOkOHFGwVbCo,36176
nemo/collections/asr/modules/flashlight_decoder.py,sha256=Rni-sV_5cGR54344moobFK4bCpIvLlFDcq8q36ULai4,11124
nemo/collections/asr/modules/graph_decoder.py,sha256=lb1kt2ggRONrgOdwmHiG6c7KIaeqy80oj4BByXWJf3k,9690
nemo/collections/asr/modules/hybrid_autoregressive_transducer.py,sha256=nNiGrxBKQ8ak-bpEzPZi82-2dc9x7x4Yl_5mk8iHdI4,10935
nemo/collections/asr/modules/lstm_decoder.py,sha256=R414qRcjhSJmcUd42iC_Ne58V5nJXLhWzXCSBAhA1Pk,3503
nemo/collections/asr/modules/msdd_diarizer.py,sha256=p7XTYIpw7i9iaTZjKWSkuv0hNhLZzssndqIECbB67h0,20036
nemo/collections/asr/modules/rnn_encoder.py,sha256=G1VK4P6y_HLjvRKSm98BIxSUbyVrJHuA8NXcEDhGgqM,6718
nemo/collections/asr/modules/rnnt.py,sha256=utmbCjJbonBjllIUBwXQL2wO1XwnwnuTBXwltTfZjRw,98553
nemo/collections/asr/modules/rnnt_abstract.py,sha256=qf6coC3UdzFFQaWp017GnEHNc-2DIVQJbLb5Xl6rSs4,16900
nemo/collections/asr/modules/sortformer_modules.py,sha256=vDobT3NJkATZgrAc-j8dJ8rFnwmc-m2zoNvmB_IFiag,45046
nemo/collections/asr/modules/squeezeformer_encoder.py,sha256=tmZ8bPBVqghBPxMZxUzYvQLcNM7nKsDNq1HDOJySdA0,20022
nemo/collections/asr/modules/wav2vec_modules.py,sha256=jbq0elsOB6ZiZZmnjAABIZJY8Xqw5Tp-w6G3Pb_xEQ4,13905
nemo/collections/asr/modules/ssl_modules/__init__.py,sha256=j6nQ19KYQkWQQ1N_2GV_E0XuJWA7M2LNU2zA-qLN5r0,1203
nemo/collections/asr/modules/ssl_modules/augmentation.py,sha256=sipbCVce904SDjlpdp22OtzfcEOCicnmQ_RDsiB99dA,11959
nemo/collections/asr/modules/ssl_modules/masking.py,sha256=WapH8NMaW23JK-7OJIv4YP8oW4Q2t3S9yDmT3wl6dlQ,9471
nemo/collections/asr/modules/ssl_modules/multi_layer_feat.py,sha256=eYwzm5xDEbG1EtJ2XYEaQ78f8V551rfhqa0NPq1rpqc,9342
nemo/collections/asr/modules/ssl_modules/multi_softmax_decoder.py,sha256=0fWgXJ91HkxBnIHNVpHQDUIfcXiQMBKShvS7EaW9Sno,3281
nemo/collections/asr/modules/ssl_modules/quantizers.py,sha256=_g5eya-0iCz3K76eHEbBl6vaYMQnwf2Bzh8uAynPI1k,6711
nemo/collections/asr/modules/transformer/__init__.py,sha256=SPn-kHRNPWfdfzXewO86m5TD2a_e4zI8ymeJSPJqiDk,2323
nemo/collections/asr/modules/transformer/bridge_encoders.py,sha256=y8mAUaB8ZtQr9zCzLTGgDYYZkVRZmWno6b3bnVEgRkw,5288
nemo/collections/asr/modules/transformer/decoder_module.py,sha256=ObtL85CF0IVUpB2m-T_-4VoHSXNrpqJzE0NBfvxO7sU,2099
nemo/collections/asr/modules/transformer/encoder_module.py,sha256=kjuZ4cCW3kOE5_fNg-xzrPfFS2-0flcjnIG-qSQ3GHs,1409
nemo/collections/asr/modules/transformer/perceiver_encoders.py,sha256=3m69W1eJsIRL6l_-8srZCo55bCgly22TDwd-luXEobI,6691
nemo/collections/asr/modules/transformer/reduction_encoders.py,sha256=stmAKXdCWTyQ_4FU2hv67PNbpSM-vfGSOfcbG4sM7F0,5041
nemo/collections/asr/modules/transformer/text_generation.py,sha256=e5ycWbajEAhQlhm5A4qxiAk6VIt4ERE3ll5LY47Ej_8,5956
nemo/collections/asr/modules/transformer/transformer.py,sha256=LXFQaZlyxBKC893mJda-SV7hfQvRFxTS3jkBMriNUxs,11009
nemo/collections/asr/modules/transformer/transformer_bottleneck.py,sha256=-Isaa09tNw9FmB0o9D3u7GZaWXpzBfGU9-XxKo4sSTY,12570
nemo/collections/asr/modules/transformer/transformer_decoders.py,sha256=n0Eg-kg_TuN32zfFvZUUbgz5KuglnsxZLcWxyf1ZcDg,13028
nemo/collections/asr/modules/transformer/transformer_encoders.py,sha256=roAp6f9M75vGrX8KX56j-sBcP2mWI8K8NASLiWrHDgg,10507
nemo/collections/asr/modules/transformer/transformer_generators.py,sha256=jmEBELEyKHRaJJOVLaLCaFpUgInrJHlKW-WyjRlLNNs,55367
nemo/collections/asr/modules/transformer/transformer_modules.py,sha256=I-2_3aDGPOls4W7yQaJYS1qIvaPiWnZqJgiqUQ62juY,11294
nemo/collections/asr/modules/transformer/transformer_utils.py,sha256=CvjXOyJbw-vVhUGh4c7ORo55qsQlkINoA6jLx2XadpE,6433
nemo/collections/asr/parts/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
nemo/collections/asr/parts/features.py,sha256=h7oYJzcFFvjKJTvVoYnBT99N4A0Q1Vwg__E30Lj6gm4,1897
nemo/collections/asr/parts/context_biasing/__init__.py,sha256=5CtmeAYl2oblk0QVTu7Bfqp6M4kn0IJbwWyjFHxLqTc,1246
nemo/collections/asr/parts/context_biasing/boosting_graph_batched.py,sha256=i6JumS8wy39FrgbtnYsizxL8XobVdqe_Y4LN3vhzJQQ,23090
nemo/collections/asr/parts/context_biasing/context_biasing_utils.py,sha256=Lss059WE_a1ErZhKqypDM5x6y6rd6WVyED1LMERIOaE,12187
nemo/collections/asr/parts/context_biasing/context_graph_ctc.py,sha256=vwLaiF15d0rlJURHSZN18ETJ7fVgYA3H_x_SmVS5l04,10137
nemo/collections/asr/parts/context_biasing/context_graph_universal.py,sha256=WsQVSO87HvniD4knb3I-lhn3o2_ov8IFQF_PGiqWlr8,15793
nemo/collections/asr/parts/context_biasing/ctc_based_word_spotter.py,sha256=C_kPqk0-Ykn_FUSYtrnj1FexOPXv2P0zaZ_qHMN_I8s,14040
nemo/collections/asr/parts/k2/__init__.py,sha256=Vgd9K3Anjug55M43V_v8tfW_cPxXYnaOYBJ66gyaQiQ,610
nemo/collections/asr/parts/k2/classes.py,sha256=A2WEvwvAgqgN9HagCpDsKAtyRiHcS3y-szC4CyIhkzo,7136
nemo/collections/asr/parts/k2/grad_utils.py,sha256=439i3q8GhQYYAkJ9LS63ihQ2Cv4lMiu84RtGr80AAEo,3283
nemo/collections/asr/parts/k2/graph_compilers.py,sha256=5v92uL5zxYCkjMSmcRR4mjYhBHFTiFUEOL-f5zshh8k,8026
nemo/collections/asr/parts/k2/graph_decoders.py,sha256=ImGTNz0VDXvgDtCbXG67K618jYf4y2LmVdaQ8Yeqek4,27802
nemo/collections/asr/parts/k2/graph_transducer.py,sha256=qqMiHT6Ygh1-cnsgtgTNldJaKDCEoFlyLkXmCa27ZhU,24293
nemo/collections/asr/parts/k2/loss_mixins.py,sha256=vmIQVoELqjylhJnBkp-QlgDuMFuZfzT9idAiE-aFW8w,11709
nemo/collections/asr/parts/k2/map_loss.py,sha256=KiL_wkCeFY7MUPCLp18NhRETYNp1QmgQx7yAnrd84zM,13369
nemo/collections/asr/parts/k2/ml_loss.py,sha256=77GJheXwTWwOx4hEg0AGZLcgrFVO27J4s1haJiejjMk,8837
nemo/collections/asr/parts/k2/rnnt_logprobs.py,sha256=w16tiD8JPOLIEBNVqxVEQ-8xSJghqqcUmT9V_MS3SWc,1807
nemo/collections/asr/parts/k2/rnnt_logprobs_triton.py,sha256=7X7uTT0f5OPJOBXowzHfyrDk700xl0AA9S2_Kzqz_GM,10028
nemo/collections/asr/parts/k2/topologies.py,sha256=qRIR-7Aclo_QsxUFtO6xtJOkG5Re2nu7dAvzb_eyYhg,8524
nemo/collections/asr/parts/k2/utils.py,sha256=WyXlyRLOANPOtCjv09V_zDROje9JjuID0vp7TdbLgXU,16239
nemo/collections/asr/parts/k2/w_transducer.py,sha256=A0K3-qgbUYCnH3h28QbhYHJb_AD9-jDtmWBAaeSarS0,16345
nemo/collections/asr/parts/mixins/__init__.py,sha256=giuxibVEOHDHpZTbm21ojeDhNeXov5ExdF0iE7haCgM,1080
nemo/collections/asr/parts/mixins/asr_adapter_mixins.py,sha256=ppjpUo5IXscdF1XcfGDrwoPCHttU0Xi6hMmgKhG2wW8,12258
nemo/collections/asr/parts/mixins/diarization.py,sha256=t96dW3Zeth04jhup3pPRxfY_Z953TRrSLhUEyq3JbCk,20075
nemo/collections/asr/parts/mixins/interctc_mixin.py,sha256=W8knG6i73GGRm8Gou7FhJ4cZi6mpaJ27zl7hG1rJj00,14365
nemo/collections/asr/parts/mixins/mixins.py,sha256=yOwbRrCqaY4Xt2oHGzFfyEDa0wyL1sOXLRLl2ZE1XwU,41738
nemo/collections/asr/parts/mixins/streaming.py,sha256=TYDIJk3miEKx9dUit8PHtI4mrHDfhTkm8hkHEkvVNsA,2764
nemo/collections/asr/parts/mixins/transcription.py,sha256=9rc7pVAPrxRnNp6By-wezv9QR2X7Xo38F3Bcfr-eccA,33300
nemo/collections/asr/parts/numba/__init__.py,sha256=9XJoAwT_Ks-K4KSZlF5mAGdND7QbozFt4zkZhmPR15Y,693
nemo/collections/asr/parts/numba/rnnt_loss/__init__.py,sha256=i7etmdZx3aq5jQXWYQO_cFK9tGdKHbo-OA2sGoQEjMg,838
nemo/collections/asr/parts/numba/rnnt_loss/rnnt.py,sha256=5vZzjEYtX-LVfjo9pLjNqqO0Gy1nj4bFdP07BL0t2uI,18237
nemo/collections/asr/parts/numba/rnnt_loss/rnnt_numpy.py,sha256=4W0r5ZqpElNWBM_K60zSja__blADfN1GT_dUTQJTRZM,12993
nemo/collections/asr/parts/numba/rnnt_loss/rnnt_pytorch.py,sha256=e1_3_nicI6NgaNIOLj_OPSkxvm5VvOv_fvxNhsOZkY4,26211
nemo/collections/asr/parts/numba/rnnt_loss/utils/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo/collections/asr/parts/numba/rnnt_loss/utils/global_constants.py,sha256=ThJfACd74IVzVd8_p7mIhP_D02BzXBs-tPqwuyLOwJI,1727
nemo/collections/asr/parts/numba/rnnt_loss/utils/rnnt_helper.py,sha256=wx7RPUwNyjhubl4k03KTucAQeZXlw1LUrxAoX6Y_m7c,3828
nemo/collections/asr/parts/numba/rnnt_loss/utils/cpu_utils/__init__.py,sha256=EZHoTVkS-ZtPYz-GWWZ_DFULPAK7MKYKP0IOg5yqHg8,1194
nemo/collections/asr/parts/numba/rnnt_loss/utils/cpu_utils/cpu_rnnt.py,sha256=Tax5da7SMZG4GuJLoTFpKaTN_lEy0CAOq7ao_JvBBcc,15915
nemo/collections/asr/parts/numba/rnnt_loss/utils/cuda_utils/__init__.py,sha256=EZHoTVkS-ZtPYz-GWWZ_DFULPAK7MKYKP0IOg5yqHg8,1194
nemo/collections/asr/parts/numba/rnnt_loss/utils/cuda_utils/gpu_rnnt.py,sha256=30Cmeburrrm8Bfkrs_vENrgO8vTDEVZKADkZNAh8mFw,31708
nemo/collections/asr/parts/numba/rnnt_loss/utils/cuda_utils/gpu_rnnt_kernel.py,sha256=OF3nB1O2wbKi5bQCponYFuzoL6qEY2iz1SzKfke7kEU,71174
nemo/collections/asr/parts/numba/rnnt_loss/utils/cuda_utils/reduce.py,sha256=bYHvciiOEBvD3CmRFB_ZkWRZrtSpxWYchU4XsEmjQrs,12486
nemo/collections/asr/parts/numba/spec_augment/__init__.py,sha256=9Dak77weGvwEV8Tg7eEsrKGs_IvdOv6ILwAB7nMjNSQ,746
nemo/collections/asr/parts/numba/spec_augment/spec_aug_numba.py,sha256=741rbQETxUp8APW7xNWnJ7NO9uOmvQrnL0zB-akqlDc,11704
nemo/collections/asr/parts/preprocessing/__init__.py,sha256=yqEAlDG9bf-Ztfl6aLXywE_vNVBaGiqZHAN5sz8Fp20,1395
nemo/collections/asr/parts/preprocessing/feature_loader.py,sha256=3_FfvPjX5ze-Vg6XeRerKFkIeXstuW2svU9Gb9SGV08,3076
nemo/collections/asr/parts/preprocessing/features.py,sha256=H4eepSckMLfsVZv9aFZ9HPR1o8rAdGg279liSPbI0jY,29080
nemo/collections/asr/parts/preprocessing/perturb.py,sha256=58DQ6oByqmeYRVxAGoapa5GeBG6kCt971z9HiGMZMR4,57907
nemo/collections/asr/parts/preprocessing/segment.py,sha256=yIoEpTCRnfXPft9FK2172WOVU_8hH8KdS6JnU15D3JI,27523
nemo/collections/asr/parts/submodules/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo/collections/asr/parts/submodules/batchnorm.py,sha256=hefDuJGbEW11Ga1mtRQvAHFZvS1x2pSfWmH_A-jgJFM,3717
nemo/collections/asr/parts/submodules/causal_convs.py,sha256=EnHp1OQsVwJRAdUsB8bsXlkSxawBlyhLWs5AR4EF9Gw,5094
nemo/collections/asr/parts/submodules/classifier.py,sha256=W-Q61Z3BdvOgc3l4Ap_uZu63GnbPeJQ8jfTBpySgoLk,2894
nemo/collections/asr/parts/submodules/conformer_modules.py,sha256=62-iH_UDgXV3wLjJDchfnm7V3x06jf07H9MryFFCc40,15809
nemo/collections/asr/parts/submodules/ctc_batched_beam_decoding.py,sha256=-ykdynhHA-Zb7ZhZs4HbY8ty0-aEPNb4rYr6nazwmnM,34499
nemo/collections/asr/parts/submodules/ctc_beam_decoding.py,sha256=kTkzGJcp2Ztm8tvYZz7cUpZZpLAyAuJM1tQprR1SYDs,45185
nemo/collections/asr/parts/submodules/ctc_decoding.py,sha256=OOSvDe7lyoyhlT4pPH8QJrKJ23udn05SEt_Bt7gtJDs,66112
nemo/collections/asr/parts/submodules/ctc_greedy_decoding.py,sha256=pLbqoDGuGA04QPzWrmJjyPjxlphkefFtmbfWH1vGufA,46399
nemo/collections/asr/parts/submodules/cuda_graph_rnnt_greedy_decoding.py,sha256=93esBdaWAw_KR2-KvLqlqB4qBLv3ARQw6Bj_0LK9dkc,16625
nemo/collections/asr/parts/submodules/jasper.py,sha256=2y6hKSDfn_atmJ8ugVpbB0QuFI1TN9v40CORf9-GQfs,48850
nemo/collections/asr/parts/submodules/multi_head_attention.py,sha256=WJHmjzX_Ic6GnHls6IO83O5UYOoinIG4oXVWZcfxSSk,50958
nemo/collections/asr/parts/submodules/multitask_beam_decoding.py,sha256=hVcc9X_B6Mo8c9-L-sK9OTJs5bF9RdaCIGMbVVRYGsQ,12521
nemo/collections/asr/parts/submodules/multitask_decoding.py,sha256=Z0H0wj3LiqqkUEw5i9X3s0gU843iJJTBuY_xinHeYxM,29774
nemo/collections/asr/parts/submodules/multitask_greedy_decoding.py,sha256=DNaGyXewbgFogfe8S8rTBjop9WL3IPemzIWxjnY4WWY,11011
nemo/collections/asr/parts/submodules/rnnt_beam_decoding.py,sha256=AURBX8a9Gxo26_1YUgpLn2gdMkC5tFLPtXqf_eulUnY,76977
nemo/collections/asr/parts/submodules/rnnt_decoding.py,sha256=94Aek-63C2lbSR9LT6m-IOf3HWpGO0q07WQGudVSvYE,99562
nemo/collections/asr/parts/submodules/rnnt_greedy_decoding.py,sha256=NbrznavDaROeOXXsVG712HTQIVlZZa3eO-vjln82UOU,143886
nemo/collections/asr/parts/submodules/rnnt_maes_batched_computer.py,sha256=Wq8fipqYMzcxaSokEJNHlYJy9C5V9zoTzfdiJg7Pi_0,22066
nemo/collections/asr/parts/submodules/rnnt_malsd_batched_computer.py,sha256=urdgGtR-bh_JwmOvXNm1hkCX9umAmMfIfkx7Cn13qwE,55869
nemo/collections/asr/parts/submodules/spectr_augment.py,sha256=inZwaenGehyLQPCCstvstM_EaFAMtIuZPGSsfWvhnzc,10096
nemo/collections/asr/parts/submodules/squeezeformer_modules.py,sha256=1rMtcW4XZgcr3E9HVevOjB5lPCLLYcc7fB3v7VcPPnY,7986
nemo/collections/asr/parts/submodules/ssl_quantizers.py,sha256=AmDuWINCiuMVj6wUcbWd-fWdYVGRSUACmY1CR03TV58,7703
nemo/collections/asr/parts/submodules/stateless_net.py,sha256=nMA9XE0K8h5TSU-8htEbU8shzkTXYrkJpakHrXEbJ1Y,5686
nemo/collections/asr/parts/submodules/subsampling.py,sha256=p6jRvpgSoXhzuYAFjn0uQHIcnQxk9wdh93sBFF-O3gU,29897
nemo/collections/asr/parts/submodules/tdnn_attention.py,sha256=2b54zmNRIgAgF9Y17NpPNkxYovVB23RdorPNMgdOJDE,12012
nemo/collections/asr/parts/submodules/tdt_beam_decoding.py,sha256=yedyRfUr49tnKcgFXuzddOXB9MzXCGy3Ywml3EnJHDQ,46761
nemo/collections/asr/parts/submodules/tdt_malsd_batched_computer.py,sha256=77lecM1b1DF7UXVe1P5C0-AzoO3rbvATJq4Id9nYm_M,61038
nemo/collections/asr/parts/submodules/token_classifier.py,sha256=kYVSYa7oPZ-N4y7J67j3hUxYdFWnysN24Bp7gAhtB2M,7141
nemo/collections/asr/parts/submodules/wfst_decoder.py,sha256=-GipFRo_BTmhfozHwvdb4fGTfWeb1m3o7eqvtFrGip0,27719
nemo/collections/asr/parts/submodules/adapters/__init__.py,sha256=u7b8_J1W0mPPDd5komzZXS8jN6ZMqfib_VCKN50zWzw,1420
nemo/collections/asr/parts/submodules/adapters/attention_adapter_mixin.py,sha256=rlPN7LHx1Byyx41oZAJgK1p9dNpO4cG0cg5ngLazBVo,5858
nemo/collections/asr/parts/submodules/adapters/multi_head_attention_adapter_module.py,sha256=pqMHDrMNRpxyhIE7ZrXoR6RjtbY7A-oczDUaUss-jLs,17278
nemo/collections/asr/parts/submodules/adapters/transformer_multi_head_attention_adapter_module.py,sha256=QVHXmgIMM-GvcSsKsVEaqLvhlfss_hiHCWNJDJ-eSws,5330
nemo/collections/asr/parts/submodules/ngram_lm/__init__.py,sha256=oiwB112QKSIKwRi6TH336sCu2gG67q0t-EMdPwhw3s4,918
nemo/collections/asr/parts/submodules/ngram_lm/constants.py,sha256=A7lK7XBrnZBSYebCJpUIsY35zNqY01viO_47voaH6Xc,696
nemo/collections/asr/parts/submodules/ngram_lm/kenlm_utils.py,sha256=4yGhr4lOguWCJkNR30B-VaNu3Cu0al2lsd4-U3lt0GI,9033
nemo/collections/asr/parts/submodules/ngram_lm/ngram_lm_batched.py,sha256=3CtTkps9lDGIr85brY_cZx-1QVG0rJIUF1xY6XrVKe0,43568
nemo/collections/asr/parts/submodules/ngram_lm/ngram_lm_triton.py,sha256=yfnQysCabn9Ud9XfM-Eg-VyKq6WLtssF_gwFplD6e1k,3957
nemo/collections/asr/parts/submodules/transducer_decoding/__init__.py,sha256=FEZERGJF2JwxzVzhmjQmfNi2Az7mvesqynTyzT6u7Do,1228
nemo/collections/asr/parts/submodules/transducer_decoding/label_looping_base.py,sha256=zC-PaY1LAuS01EnW_UIKxuuwg92byPNMfOpwh6WWvII,9092
nemo/collections/asr/parts/submodules/transducer_decoding/rnnt_label_looping.py,sha256=7Zu7dE3pN73rImqmoW_b0zo8146lB6lAWkOkHM-B9LA,60994
nemo/collections/asr/parts/submodules/transducer_decoding/tdt_label_looping.py,sha256=t4Hg8U9ldllTeAXlY_9UAE1o9dI7Om23b1NdF3SQ4eU,67891
nemo/collections/asr/parts/utils/__init__.py,sha256=62JQHsjfGpo6PtOXHE_RFpPp2h7Xl9_xRTn1_Ndt_cA,727
nemo/collections/asr/parts/utils/activations.py,sha256=707ynmNBEo8iDbMkAzfLFIOvMfgcDKDFjYCWbjSa7Mg,1585
nemo/collections/asr/parts/utils/adapter_utils.py,sha256=c5Nxj93lx6OMZw-xFw8Bg5rO81CNb3p-u9PJEguVcwQ,3194
nemo/collections/asr/parts/utils/aligner_utils.py,sha256=bnHZbMXspHg5VWRmbctV1zsyuI1NIsPj9QEvJJjdKDA,50102
nemo/collections/asr/parts/utils/asr_batching.py,sha256=yfVkIRalauMlcQj2KkWDSfhsRr5humIyGqNty2C4quw,10077
nemo/collections/asr/parts/utils/asr_confidence_benchmarking_utils.py,sha256=kb0GmW4x6nEv2MOHA8dm-JkOTwxa0mjWbTUqRoia_sQ,6711
nemo/collections/asr/parts/utils/asr_confidence_utils.py,sha256=dZfW_fQQNAzHXHmsoEgq3zLwWsiD2HTdvnHqZZc60UE,22539
nemo/collections/asr/parts/utils/asr_module_utils.py,sha256=msUCMI0KHUM5l4DSaFhMYOiVUan-oi0tpcwusqk7lp8,3292
nemo/collections/asr/parts/utils/asr_multispeaker_utils.py,sha256=O0Ia7_QQlrIF389pComKltzE2809TD2dzCJLMCnJhOc,18666
nemo/collections/asr/parts/utils/batched_beam_decoding_utils.py,sha256=o6vG0ToW8WN5p9wNfUDGW207p4VLkyzM4matzLYE5vY,28430
nemo/collections/asr/parts/utils/chunking_utils.py,sha256=Ph5ihY9QFsbEsApfEomjrJIxlGfpzpYKzh7ZKvwMGsM,16645
nemo/collections/asr/parts/utils/confidence_metrics.py,sha256=1Ae544uk8DkFJ-_WPymq8ozLiNUtEqgdu3EbxkYjllg,9669
nemo/collections/asr/parts/utils/data_simulation_utils.py,sha256=VoBwCyEjTiLU7zc4xpKy7vmGWFvvYquF0YM4ItPj2lE,49415
nemo/collections/asr/parts/utils/decoder_timestamps_utils.py,sha256=CzEJZrxTI_VH48qlqBYyUeHFloaMaP88CHxzZ8MsfyY,35922
nemo/collections/asr/parts/utils/diarization_utils.py,sha256=0itst_DbNZy4IEx4PyXgriTAOU6FCbJorkthn_8yyZw,54181
nemo/collections/asr/parts/utils/eval_utils.py,sha256=BJ75qAGU7-y9a5F4LzlFfjN7bxADg04wwiIW5iEm-mk,11727
nemo/collections/asr/parts/utils/longform_clustering.py,sha256=ZdhvmC1CWXJLD-zJgFU2BV9p-6vZue3_zAd_yMLbbdo,21493
nemo/collections/asr/parts/utils/manifest_utils.py,sha256=Ym-RRiYZgbYIa464tSSEQRV_4DQawaKKsB10pvyBWMw,20976
nemo/collections/asr/parts/utils/numba_utils.py,sha256=UK8DF0EjykyDyN24rXJaMXTpQIXQNmjAnNQvZ6HIemc,3388
nemo/collections/asr/parts/utils/offline_clustering.py,sha256=bFSsVQjLpD85jPoMtdaAdD3kdS_lWV_mlnlPcd_eB2I,60735
nemo/collections/asr/parts/utils/online_clustering.py,sha256=2olDxSMICd56BilSpBKpHB_CU_r8KdvMJXIw8kUhmbE,54985
nemo/collections/asr/parts/utils/optimization_utils.py,sha256=b7ZEPDgDUsVamV-1K_FT3seB8XZQjAaF1BpHyLd3n58,13849
nemo/collections/asr/parts/utils/regularization_utils.py,sha256=SpiXoprg1FmkxyLemiWvQxWygR--MghC5SWp61Sz1wk,3090
nemo/collections/asr/parts/utils/rnnt_utils.py,sha256=WLSH_XFH_sHPyzBGz-I7GM22TDCgjTlJgN70gRpV33Y,34742
nemo/collections/asr/parts/utils/slu_utils.py,sha256=RT6K_GCTz7cT5wayy7tcSw_43AyNY2wCTfyfn-mYjBk,7380
nemo/collections/asr/parts/utils/speaker_utils.py,sha256=gp8y8e36Rk_lpWV7NaOyfuSymw14NfXpbZXinezh8vw,79181
nemo/collections/asr/parts/utils/streaming_utils.py,sha256=s6G_Ma708RxBkdclxSklTVy4XzZG7xS_bC-vx-5jhfQ,94092
nemo/collections/asr/parts/utils/timestamp_utils.py,sha256=Ylo7Uxpnr1XwQXPv-dkBogQ0cEDYfggVuC86oQPqI08,30429
nemo/collections/asr/parts/utils/tokenizer_utils.py,sha256=nvzy3k16iRHnGXYleQaddsKZW3c7bXn0Pls6OQrODLg,2053
nemo/collections/asr/parts/utils/transcribe_utils.py,sha256=P5nGfMGsD_Ct2kFssvIGoWQZ-Vqr5YqvYTs715uLQVg,27423
nemo/collections/asr/parts/utils/vad_utils.py,sha256=W5azY3669ZetM-rW_CBBkFNplUnijED3t02ZtXBvSNw,74064
nemo/collections/asr/parts/utils/wfst_utils.py,sha256=Wqx3pZ-ntEmBNZY5IKmidFwk_PBeNTGkEFl18WVvHF0,51559
nemo/collections/audio/__init__.py,sha256=vkJWCI8QOUVf88wiAcTY5Dp_3gwK4jrGWTRETe0utio,921
nemo/collections/audio/data/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/audio/data/audio_to_audio.py,sha256=ibSzgEtrkmyVUebnQhp-Bc4ON_hFLlgbTjZJyBuqdH4,48512
nemo/collections/audio/data/audio_to_audio_dataset.py,sha256=f_9jBiBg0v0q_x4x339sbTWN1Dz7whTN25rZYFzaNkg,4149
nemo/collections/audio/data/audio_to_audio_lhotse.py,sha256=Q9LDig6KH0l_lJ1e1LHeUM3olJVOXbarvfX6RgextQA,10368
nemo/collections/audio/data/data_simulation.py,sha256=ri3FJghdlP7zUBWxdGFAkhd7hpF9M79b2jpxMmKMLWU,90366
nemo/collections/audio/losses/__init__.py,sha256=gq09bVOSvB7LZw75hzkXAW3DB2ohgCRcLztCQf7OoQo,685
nemo/collections/audio/losses/audio.py,sha256=Wg0XloG6rGXhtsBz-n_-a4QajAIeBldXWmvL-eJsrvk,25788
nemo/collections/audio/losses/maxine/__init__.py,sha256=G60-Qwwr8KMxtpf8S4hTBHfMV-jX_6kBomzbSDs_uXw,724
nemo/collections/audio/losses/maxine/losses_combined.py,sha256=KSgSbLTPoyQ3ujRRfjoxJvfGdy2vgLZW614AR3W5xkE,8287
nemo/collections/audio/losses/maxine/sisnr_loss.py,sha256=6p7a0-Gnnj-FZecsl09v3-rei5M-3ZLCphBuJwIiY8o,5987
nemo/collections/audio/metrics/__init__.py,sha256=1pQGj1zNHCw-TUywTaUHxtfWH9R0XHFu3ef6tr3qt7M,765
nemo/collections/audio/metrics/audio.py,sha256=TJ7C9sZ6WO2KY6EuYiu6nDRcm0V8Po_FRjNoBb0r05w,8525
nemo/collections/audio/metrics/squim.py,sha256=9o-Di69kizOtP32RHjuGeXhXAU_CS-Jn-KVYxiQ73_M,7423
nemo/collections/audio/models/__init__.py,sha256=ZSCHAB4WVBuysES8V38vP1yViydDz4mx9EAVOPkLj50,929
nemo/collections/audio/models/audio_to_audio.py,sha256=m74LQ8Wjcp3GsE7JCN1Qmk4b4ugwlyPilBvDghzJl0k,22840
nemo/collections/audio/models/enhancement.py,sha256=MwGKuZIiJ2yfJHYYhovjpquzH7qDU8_MLuzQyt5rAg8,56067
nemo/collections/audio/models/maxine/__init__.py,sha256=lH_OjBUUji0_gNIVjAlOhsOglhfc8gBVnamSQdPRcM4,696
nemo/collections/audio/models/maxine/bnr.py,sha256=zQRHfHzEZrhuUeCSVfnfw4f4ZAV5pt9GqZAZm_Uo1eM,10839
nemo/collections/audio/modules/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/audio/modules/features.py,sha256=I7XdlRFFhBJiPcYhcMuU5qrmd789WkfpPQ-mpAiQ2Jw,11541
nemo/collections/audio/modules/masking.py,sha256=fznKqQoN-r79xVeawno6xeXoULaX_EwFfWyn2nTWnV4,44486
nemo/collections/audio/modules/projections.py,sha256=zBiEZVW8cCS_sN8LWKm8hoJVal8tbdfPmApxEbH5JLk,3425
nemo/collections/audio/modules/ssl_pretrain_masking.py,sha256=m3Wvqc3eKaa8_VSMk5R3P_yd_yy21XA9eAGNEl_vhjI,4632
nemo/collections/audio/modules/transforms.py,sha256=ZxTpG65JwndmIdz5TP59Bv2ToXqnNzOq9CdTNgkANes,12040
nemo/collections/audio/parts/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/audio/parts/submodules/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/audio/parts/submodules/conformer.py,sha256=t9DMoFAaNzxTXKzXzile_tgi-a1sQHbcR5hopKa05XA,7330
nemo/collections/audio/parts/submodules/diffusion.py,sha256=6BO-QX0nBdNOJW5_OP8VULxNGg1FIekexJ_hs00kZZ4,29808
nemo/collections/audio/parts/submodules/flow.py,sha256=gXQ5dSWeBCO8jtLglTQ4P462cNpPhRbNQr1Tukkkiuo,9092
nemo/collections/audio/parts/submodules/multichannel.py,sha256=BqR6kQporNt48XLQPboevBnr4s3p4lTcLuFUSR5fIEk,39748
nemo/collections/audio/parts/submodules/ncsnpp.py,sha256=ud3vB5wYNyVHlpLVkeFZiXtxbvsi37Wh5paiyOwAbxg,21206
nemo/collections/audio/parts/submodules/schroedinger_bridge.py,sha256=hn3ImHWUI8G5yCH02YfcEpQJvYwWZmgFTFIlS4CmM84,21696
nemo/collections/audio/parts/submodules/transformerunet.py,sha256=wC0AwtRqXjaVJtI8RH-k4l_5HFZs_O1Pgi0DS4TN9mI,19210
nemo/collections/audio/parts/utils/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/audio/parts/utils/audio.py,sha256=xpL-CXruFoKgANtwj3-0Rtc46i5axySr3zl-7fTUdbs,19837
nemo/collections/audio/parts/utils/callbacks.py,sha256=0xtw9OpqjLQ3Gu6YMPgC3TaiWWgXPzVrHEShJnHNolE,7176
nemo/collections/audio/parts/utils/maxine.py,sha256=lek6QSdLC5p62EyD8JZA9LbXyCNcQXZBzuvWIrJvJuc,1439
nemo/collections/audio/parts/utils/resampling.py,sha256=hXfsnyyCYVHYhcj44iLFA1lgVmvSSDcQp-rRx3aHkjk,13773
nemo/collections/avlm/__init__.py,sha256=1MQOpD35-RIvYRc5CKoo7Ex2Lcq1KmzL8F6Z8uFWlmU,950
nemo/collections/avlm/data/__init__.py,sha256=rgrv-bXdjv9Cjo_4xqEdhF97x1cBAARUgeX7UmZeanI,732
nemo/collections/avlm/data/mock.py,sha256=FLb1IpOGXQ9ctIjbDLlJl1aHZYZnJd7Ga1roImao1NY,14661
nemo/collections/avlm/data/energon/__init__.py,sha256=9YLEo0d5KJPFJY4-xxleLwR53YhCL0CXIJvu41DpVjg,1255
nemo/collections/avlm/data/energon/avlm_data_module.py,sha256=9x_rBrKLVSXNK2w4B67k6kHJCifOewTiL_Iqg8v2Lgs,3134
nemo/collections/avlm/data/energon/avlm_sample_config.py,sha256=P8oR9_Yj18kbD6wrVFXYscOPS0RGHEgz1MtZk2KXqVQ,6332
nemo/collections/avlm/data/energon/avlm_task_encoder.py,sha256=9G3d4LEfq0rQ3O4V_ctzPqeKJCYeYuwIbeR7ZIFlHzU,34838
nemo/collections/avlm/data/energon/calculate_media_seq_length.py,sha256=3Tr0dpA5iy1GCZda1mDpdiEhrquP-RUckaWpuORw6E8,6362
nemo/collections/avlm/model/__init__.py,sha256=ndm3FROYI_RBV1xDprG0IE0VfFrJFHhrKJKsSHOZlcg,701
nemo/collections/avlm/model/avlm.py,sha256=z8-U9uJpjqsXm8ArTVNC0V0Ak6pNG-s2z7PmnWQGQIo,2485
nemo/collections/avlm/model/base.py,sha256=UNTYWOAB9nyTrvFIlDF7ZVkxJ5NnIjicVNpEAqKprs8,46764
nemo/collections/avlm/recipes/__init__.py,sha256=LeSk-aL_z3hYYp-_wx18txcDW0In3bDrNgRBRCPAcoU,692
nemo/collections/avlm/recipes/avlm_8b.py,sha256=pSF--FXMPky088xK4XoHzFIBMS_Z2DUQclYZ4W8wQ7E,9311
nemo/collections/common/__init__.py,sha256=b4Dkx7Xt4P-cwLC6koaGp1qKxpXvaeNqkHa6RVsBOT4,946
nemo/collections/common/callbacks/__init__.py,sha256=TBJpj3imMaM49b3v3QbWcW09Wr_amXSK0GbTy2gCG18,742
nemo/collections/common/callbacks/callbacks.py,sha256=hCUzRFK-neBGnhUkYcQuzblllnXWI8AixKQ0Bq3ozVQ,3968
nemo/collections/common/callbacks/ema.py,sha256=AkUxMV3OsV-58zOxcAU5RZQ7NqVTuR8K3ZzXoIo0TAE,13061
nemo/collections/common/callbacks/ipl_epoch_stopper.py,sha256=QFukf8ZiK9_stSeYgfynsUadKQBnRRa8_MQtI5vCCBM,2310
nemo/collections/common/data/Makefile,sha256=aem56tKZyyELhdvfF8CWLEjZ1hG1FTrd9IW0FAyyrEo,890
nemo/collections/common/data/__init__.py,sha256=4vhUrX-_tCzOxkLXwUecVAtzO8XHmdQyFAZhIQP7L2g,809
nemo/collections/common/data/blendable_dataset.py,sha256=3DdCNx4HFJslAE-qbww-FTkwGdWwVug01OoHRK1PbBs,6972
nemo/collections/common/data/data_samplers.py,sha256=2SHtvSM444AYSLKfs7alUf4z7SGHHavdXoEVkDFhTC0,21086
nemo/collections/common/data/dataset.py,sha256=SP03-r9JxzaY-u6UQpvxtvXvs1LoSTWubZa0J8zGvsk,30503
nemo/collections/common/data/fallback.py,sha256=vVmcsCMLlPk47VnUM6tOl1hHy8YN-Hdz7Di-KOY6vYY,1875
nemo/collections/common/data/helpers.cpp,sha256=O_qJ-PYl382orbkRh8bIdgNy1UhLxYHCc52k26KMMp0,27587
nemo/collections/common/data/prompt_fn.py,sha256=AgsaefMzQ4e2RLtexyQovwuvuqkxUkJMX3DQJcG6HtM,3751
nemo/collections/common/data/utils.py,sha256=WYYJ3PBVXBvl4Rqv5Q9qKDVvNZR0N8G8lBofjW8jGhw,1558
nemo/collections/common/data/lhotse/__init__.py,sha256=XBBD3Tch_baxf16vX41UM7utrDww3B-y5GHw1a3niWY,1124
nemo/collections/common/data/lhotse/cutset.py,sha256=r75nb61EbN_obSh3VCRGt1V-28pdI2gol6Wmo3FWGXw,37711
nemo/collections/common/data/lhotse/dataloader.py,sha256=gC8TWpXx5S0V8gRieXMCN9v4wZy46gXwhkjkjeLDX-k,41033
nemo/collections/common/data/lhotse/nemo_adapters.py,sha256=vDuxB8ycGQNQe9hWtvlIzVUCVj8odOM3_dU87hMej4M,26829
nemo/collections/common/data/lhotse/sampling.py,sha256=tIZ8jQ87E4bjyRnk21VmWAPpoTRy1J_uEzGZeXc88gQ,17793
nemo/collections/common/data/lhotse/text_adapters.py,sha256=rb8ST1-FLp2VO8OLfxG50axil3r0dlkiQzK2r8bjdWw,33677
nemo/collections/common/losses/__init__.py,sha256=cr7f1mEHmiU3jCL6l6n89uZwqgXDLoa8ab-IxsrdHEE,1163
nemo/collections/common/losses/aggregator.py,sha256=DMzaWSbkRjX-N85YQqC8qidASKwVNra7fXkBD-gjBxE,2181
nemo/collections/common/losses/bce_logits_loss.py,sha256=sJpdzJHKa5LEGWlkCmIwXWU4juE7Qf9Cvp5_RTmgh7o,2719
nemo/collections/common/losses/cross_entropy.py,sha256=fd6RmoHusOPH8BxQN01bOotw_8n1YmpsEBDDRk_d8yY,5478
nemo/collections/common/losses/mse_loss.py,sha256=1ahUFlK31HScfS7DAwXhQVsOilcKH7M_tjZEYOo3vGU,1777
nemo/collections/common/losses/multi_similarity_loss.py,sha256=WIXg9WE7bBWFgQaiUOjkxvwiZVZ-tipWu1DjcmTQdKk,3487
nemo/collections/common/losses/smoothed_cross_entropy.py,sha256=XSmJ-Tp8Yax0A1YI1iOOFMuhgn_s-2JYHKcF2Rh7usg,7470
nemo/collections/common/losses/spanning_loss.py,sha256=c7iyrEVodZx8QfmymVr8XBoQ4xWI2QKDgbz4lZjutks,3108
nemo/collections/common/metrics/__init__.py,sha256=cGyu10SXBE34gK-jG6Xx2itlBzr4RC--miPpDJktzJk,1107
nemo/collections/common/metrics/classification_accuracy.py,sha256=W3Y7qCA5CzHbXQy97UrQBxxK6KypEVa447ALMopCdkw,9956
nemo/collections/common/metrics/global_average_loss_metric.py,sha256=XTwcpJETY9O57PMKSf6pOXK_FLpmSdJssHEwfv6g-GI,3317
nemo/collections/common/metrics/metric_string_to_torchmetric.py,sha256=Rd1CSyjVHHfHOh25HZPecmSnfXI6VYgzP-kT3tL-3fo,1696
nemo/collections/common/metrics/perf_metrics.py,sha256=lWnUfF2aNrBejnaitF-mur5if5Tr2Hp8aLo2GXl87i0,7020
nemo/collections/common/metrics/perplexity.py,sha256=xICJICLlpxD7SITjTYkC7A25nvC45LW5J-Gt-mksrmg,3437
nemo/collections/common/metrics/punct_er.py,sha256=MjBhi1TA2wNtQrgYxV376dWP2gY8ZN-Qv2ULpbzZRt0,20107
nemo/collections/common/parts/__init__.py,sha256=YCUgyvD5_gQYPlTol7gIbZqOOX07khOG-d9jkHPkATA,965
nemo/collections/common/parts/adapter_modules.py,sha256=_pj8NQEK2wR5Mel6qSCGC2O8fpojswbGT-BMFa9rimg,6343
nemo/collections/common/parts/mlm_scorer.py,sha256=iezBMhpZO4epSzx9vyJvOgWhxD03mCApVHFaFbWLSsk,3263
nemo/collections/common/parts/multi_layer_perceptron.py,sha256=THoWXzkQNupdx0LcOlMWx4j2k130nBtdfQEQd5CfnOQ,3195
nemo/collections/common/parts/nemo_run_utils.py,sha256=f1lskByCYktOROe6lalgbvWbJIX1MmeGUcGrXxoynus,14187
nemo/collections/common/parts/optional_cuda_graphs.py,sha256=ilYfVjua_0mE8MQU6HxpXKcT8-0g74bLyEUv3Ww2BWg,3732
nemo/collections/common/parts/patch_utils.py,sha256=OFi0muMhkcemuzeTDR2q50eIL5TWejMbZVp8qIFS6Xs,732
nemo/collections/common/parts/perf_metrics_utils.py,sha256=DzrK2PGY6ZEzRrJW2OWIzBI5xDikACNSb5c4VZbXHTE,1970
nemo/collections/common/parts/ptl_overrides.py,sha256=Ak9H2CGWkJv9780F-7VgJlr2wawNlAXbJYStFUQAhEo,981
nemo/collections/common/parts/rnn.py,sha256=so70nLOERdrQVSPU-gytagoqMM3diHZXXgl7_YbUl24,20512
nemo/collections/common/parts/skills_utils.py,sha256=59mzA28kAvj_dNxhYk6B75Jp_f_ksPSjVCuDykoD430,51187
nemo/collections/common/parts/transformer_utils.py,sha256=R_XjNyMOe04XaHfwHCroX3XAJJQtxWfyfYQpw-YOZ8A,3026
nemo/collections/common/parts/utils.py,sha256=UCuH4cFfQw8xWElgwk99Am67JvkIsgX_cNjaP41FX9I,6661
nemo/collections/common/parts/preprocessing/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
nemo/collections/common/parts/preprocessing/cleaners.py,sha256=avLzIFyB2PWInWzxut50aypTBMZgL3VaTyis9zWVGTE,8251
nemo/collections/common/parts/preprocessing/collections.py,sha256=GKrWMa4fvIvAEDnKcyWXYiwPu5FitKAnuKISYYKoObg,76055
nemo/collections/common/parts/preprocessing/manifest.py,sha256=o-UZkjffmR-tnQEnnZwaGrVFLD-SFTiD-ws_Myx2kH0,12240
nemo/collections/common/parts/preprocessing/parsers.py,sha256=vxKaHxTIyzV-6PpvHMTwLej2f7VQsJBlou7vfBbNMbk,7798
nemo/collections/common/prompts/__init__.py,sha256=l7enOqtHcTFqY2u-Y6zflqNoUFjH-ZWOXIQKaVWF-I0,1513
nemo/collections/common/prompts/canary.py,sha256=xDqpBaS3u-jpGzWszNj9lkn4Cjjv19cJE5XPpzdZ2pk,7811
nemo/collections/common/prompts/canary2.py,sha256=FgPZvE2oePvwBR58tGpc9DguBAzF5TbDoWbHc5gTtxc,8296
nemo/collections/common/prompts/example.py,sha256=fWgxJLEDA1Nf_EeKyCjHZVsZb4zJhjybl4ZWCOIalG8,1490
nemo/collections/common/prompts/formatter.py,sha256=pTxpv4TDBBP7L6OI5Ejn9sogKB6eX9ZkRF7Ddq-OxjI,18804
nemo/collections/common/prompts/gemma.py,sha256=fDtXMq_Hd7uFC1VaRMM9wPlfSgsRWJE1V-3yN2bV_tQ,2194
nemo/collections/common/prompts/llama.py,sha256=mw65H7Unq8JhbOlwFzyWp_uWYmYhw3v1ZLranTx56XQ,6164
nemo/collections/common/prompts/mistral.py,sha256=ancwKMKaxvK79gweu4dtXqkfYv4wDVhCT1Y9pA4qB40,1512
nemo/collections/common/prompts/nemotron_h.py,sha256=_pGg6JP0EhbaROEc8dQCTg6XvFnGRbzVZp1tCHB72O0,2273
nemo/collections/common/prompts/phi2.py,sha256=zebAklcGgZWCL3A8NPVbesRjxkP6LX505CuTVpcOZIE,2096
nemo/collections/common/prompts/plain.py,sha256=-vElInaKDZXmgka7FVNU_u91TyH0qkrk5fYwnqBXGN0,1833
nemo/collections/common/prompts/qwen.py,sha256=OEyRpX3WG4hBVU-5py6_Id77OYB1XSTdKjyBAnQhf60,1287
nemo/collections/common/prompts/t5nmt.py,sha256=VMjL7zbqXyz_atrHdFVISnpZoJWRbU4GPw2CVXpW_Io,4175
nemo/collections/common/tokenizers/__init__.py,sha256=kJd2SMV2qWASH2KOaLsCJS4wdfexGBl9gZ9yP5__fmM,1663
nemo/collections/common/tokenizers/aggregate_tokenizer.py,sha256=zB5MCoQQlMlUjdCgs9_Y2mYRaOlpbw3D2HgI2kIzwSw,10015
nemo/collections/common/tokenizers/bytelevel_tokenizers.py,sha256=yQtsoOKdDDnWMqFqz-mtFB2btoRAWUVr4mdUPGkM_jU,5867
nemo/collections/common/tokenizers/canary_tokenizer.py,sha256=i22MdWojjXP0Beqvgf2mUzN52DjpgUWGhCWTw0C_oLQ,9029
nemo/collections/common/tokenizers/char_tokenizer.py,sha256=xU7sHIKZUK6vz7aytcIhzbNXFHd2DnsGXnOmOeUmlOY,25824
nemo/collections/common/tokenizers/chat_template_mixin.py,sha256=Gag0AcKdTjjSrdcfp83lB7X4oRh9rAHZdOWo5C-TsAc,7202
nemo/collections/common/tokenizers/chinese_tokenizers.py,sha256=PzJSpdEu7aciRsg8hBKQk74lAm_fEio4FtZm7DUxTN0,2724
nemo/collections/common/tokenizers/column_coder.py,sha256=qXiea7MJViZC0sy4w36FinMpbvu92TXbZovBDo5SxY4,11259
nemo/collections/common/tokenizers/en_ja_tokenizers.py,sha256=g2ikBM62_Nfv0DabYbJdYNN7CGcQ_ip_CR6QU2xdkqY,3286
nemo/collections/common/tokenizers/fairseq_tokenizer.py,sha256=1PedNK_gnrc8_2BZ_Nwf7lpmF623_KxoEDpmK-KSPFc,4159
nemo/collections/common/tokenizers/indic_tokenizers.py,sha256=WuUOaAh6xmWJhkp2E6fOc5mVWOUd9SkELQEUEUwpuKc,1545
nemo/collections/common/tokenizers/moses_tokenizers.py,sha256=D-0u6f7T89_v1CyD9g6q1tXsFYGP9n5UVQDGHR4Zz3k,1605
nemo/collections/common/tokenizers/null_tokenizer.py,sha256=jy0IdRFrxiDzCX7Wsvf9s5WxM73F5xhaSmJ-FCrR0TA,2005
nemo/collections/common/tokenizers/regex_tokenizer.py,sha256=d5x4GxjhAS3aDZL2q3O0H_g8_X2TMh0tyMJggw57rCw,10002
nemo/collections/common/tokenizers/sentencepiece_tokenizer.py,sha256=vxe0M_iPMD7UPDkYAJ4Zm9QAeVRuSDDVnwrucQprRZI,24496
nemo/collections/common/tokenizers/tabular_tokenizer.py,sha256=YW-xwcT-3HHMCmDI5L9DVIKM3grYFiRGKc34YRyStZ4,6935
nemo/collections/common/tokenizers/tiktoken_tokenizer.py,sha256=_xPwvpenHSO-iyo1fsN_C3XTgaTk4GDMkqD9ZP45SC8,8458
nemo/collections/common/tokenizers/tokenizer_spec.py,sha256=dGKhx784eSYsAI8c0623AJhHxBSuAMw9-imCSeqHhvA,4345
nemo/collections/common/tokenizers/word_tokenizer.py,sha256=dGmg5UL1Vt19HjtG7xOCjA0SZsmHXLzzbRVaJ7Cc4y8,2475
nemo/collections/common/tokenizers/youtokentome_tokenizer.py,sha256=1r7lubMH6XbK3B-CjT6TOMtpRyP40N569BDod4zPfGQ,2605
nemo/collections/common/tokenizers/huggingface/__init__.py,sha256=EUt9PYg0DanpafUtz3X3KK3jI2f5C0zH3wKtpl9sBtc,699
nemo/collections/common/tokenizers/huggingface/auto_tokenizer.py,sha256=EMJnKzEHqhtMENKslXMBs9XypiFFjGCDQsT9nJFFDL4,18592
nemo/collections/common/tokenizers/text_to_speech/__init__.py,sha256=Vgd9K3Anjug55M43V_v8tfW_cPxXYnaOYBJ66gyaQiQ,610
nemo/collections/common/tokenizers/text_to_speech/ipa_lexicon.py,sha256=V4dZ8xckUV73xMr04KP2c7hoyUOIx5FmF4lSXeOpwRE,11638
nemo/collections/common/tokenizers/text_to_speech/tokenizer_utils.py,sha256=TpJLL8jHvJ_MSflKUVYJsdQaG5qP5SdBGa-XCzoc_dw,7565
nemo/collections/common/tokenizers/text_to_speech/tokenizer_wrapper.py,sha256=9ZCtHj_amUxZxMv8sPFBzFMT59wpcH2h0dzjx0YxtGQ,1812
nemo/collections/common/tokenizers/text_to_speech/tts_tokenizers.py,sha256=eNTJ2NYa9awzu0H7ePA-jxQG67Z24dp-kwiv8VygTU4,45157
nemo/collections/common/video_tokenizers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/common/video_tokenizers/cosmos_tokenizer.py,sha256=pSi3e2uOzGEjmqjgAneTJ85vo7J6K-oLJ-TNaRG3AwU,8521
nemo/collections/common/video_tokenizers/cosmos_trt_run.py,sha256=_eQfgzGqQkG5bjrKNWtpnY4EOEgLAxgyCIxDtaXcLK0,2895
nemo/collections/common/video_tokenizers/utils.py,sha256=EhngHX2FY9TLC8QGNX2yKIpZhcdhAU5hWhYwkJQbNno,11845
nemo/collections/common/video_tokenizers/modules/__init__.py,sha256=y5wKVBgw50JQXkiR15QFhyDFkwNv5d8sbHQgE3bFNv8,1796
nemo/collections/common/video_tokenizers/modules/distributions.py,sha256=24EFi57Je56C-gJBW5MTTwdf5ddNWH4rO7NTu5Gymsg,1612
nemo/collections/common/video_tokenizers/modules/layers2d.py,sha256=Hg7wsLKjhcvCcowupDOHIbI2Plwdqy1lgp0YQ-vpc4Y,11589
nemo/collections/common/video_tokenizers/modules/layers3d.py,sha256=5DX6aVHkSwbAHEqmCHtLUo48JHHiXMQlyh1FtkuiMPA,33005
nemo/collections/common/video_tokenizers/modules/patching.py,sha256=vD68CE_5FYqZsVDi0EMO_go6JoyvpFBj3sM2QtlBWoY,12987
nemo/collections/common/video_tokenizers/modules/quantizers.py,sha256=DxmAM_MK0yctnFXr6Coe4hFXmTVmnxriOSlX86XsU2Y,19776
nemo/collections/common/video_tokenizers/modules/utils.py,sha256=gyZBnZp7ZHmUBZuLUM7y17MAZMiXCGajF2mIxg_O3MQ,3299
nemo/collections/common/video_tokenizers/networks/__init__.py,sha256=avZIdbbgFl-JEwIzAmEIvRUGKi19CnNEkjM58zauNg8,1976
nemo/collections/common/video_tokenizers/networks/configs.py,sha256=vStg0DVse_Q0VQN0Ed5b7_OU6cn0L0_MwlGtmHiAMf0,4741
nemo/collections/common/video_tokenizers/networks/continuous_image.py,sha256=lAuLUUzZ_KQDBJFWwTkTgZjl7uFxgfTSioIaO5RVQjE,3354
nemo/collections/common/video_tokenizers/networks/continuous_video.py,sha256=Lqzy--xItCWF9CFutSx0qrY1F3nBsf_EGp-ShThRvz0,3559
nemo/collections/common/video_tokenizers/networks/discrete_image.py,sha256=9_7Q9lBCWw9VMoMdeqXkTqyS0YkMgww0oYTLg0npad4,4755
nemo/collections/common/video_tokenizers/networks/discrete_video.py,sha256=fRBLcGlKIhXTHA0zBckt7fTTkcNZDS2ZXgmgXlqMu1Q,4945
nemo/collections/diffusion/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/data/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/data/diffusion_energon_datamodule.py,sha256=v0CgucBzbbT6RUvDlq9Mq76YklnXRhWlNe5Rb5TLuas,8186
nemo/collections/diffusion/data/diffusion_fake_datamodule.py,sha256=o26tgBdyw44KAvvxYn2LnlAJYnzU26ugs67ndrFvOQ8,7412
nemo/collections/diffusion/data/diffusion_mock_datamodule.py,sha256=9dqdWEL7rdr906vtYF2wqgDV6Ar06m7UGXF3zn5jwlU,11040
nemo/collections/diffusion/data/diffusion_taskencoder.py,sha256=Yp4rWTsqAHGI0Kthv3d8W_q6xYcpj6xyDSVhbAAEhII,17933
nemo/collections/diffusion/data/prepare_energon_dataset.py,sha256=IUBOoFHZ6R8r1sQu7EiwuoSjWWGbgW9D2FO062zwLMY,9507
nemo/collections/diffusion/encoders/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/encoders/conditioner.py,sha256=YFeIfmRYLkPASVvZwH_oXlINResRuCoyWWhsT0vIWQk,6427
nemo/collections/diffusion/models/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/models/model.py,sha256=_AuebFrG51_p2uokNUw5Ib2tr55J05oTyM04atmbg3I,16326
nemo/collections/diffusion/models/dit/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/models/dit/dit_attention.py,sha256=mVMnRqX6xdagp3OwRiyCPLu7W9fhYtonCTYEXfcJrEk,17232
nemo/collections/diffusion/models/dit/dit_embeddings.py,sha256=LJD44k2xSH6BXllcttkKn60e4J3kAEm_qrHAyIcIaZg,6980
nemo/collections/diffusion/models/dit/dit_layer_spec.py,sha256=ixolgxqrGFkbyrSi4PM-b0sRjl6Yc_2R56izjqNEtYc,35048
nemo/collections/diffusion/models/dit/dit_model.py,sha256=JX_LIY9-rDWz9_8GzFabvYuDgDLXUcDuWzcHPrEcyEk,16292
nemo/collections/diffusion/models/dit_llama/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/models/dit_llama/dit_llama_layer_spec.py,sha256=Ar-y7rHs_iU-TX-UQ_8ZWOCa7vVWRNFiuhHP7I6YsaU,8931
nemo/collections/diffusion/models/dit_llama/dit_llama_model.py,sha256=qq1XnupNLgDD3gbEKuLJfLjXmEjzRaU_SXii0gaEx7s,2517
nemo/collections/diffusion/models/flux/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/models/flux/layers.py,sha256=FiXXD2FrL_ndM-Y92nX8B0JsfP1JFAIGUF7kaiyw7kg,7199
nemo/collections/diffusion/models/flux/model.py,sha256=o7i-XMacfU3S81I399nS3ECEg9xf5D1MbBGF7KcrWMo,41974
nemo/collections/diffusion/models/flux/pipeline.py,sha256=7DKMma9cblSaLLWEMa6QwEhmcVbKIx1d-3vtIy45MBw,47598
nemo/collections/diffusion/models/flux_controlnet/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/models/flux_controlnet/layers.py,sha256=P-qRpJ1uT1fuOzTkC6nARIvatNoIMWUoK0OK2bhLVhM,3798
nemo/collections/diffusion/models/flux_controlnet/model.py,sha256=VZpN-B_eudq0ftRHRuE6LmHIVATIhHtx_IvrKUAiemg,27003
nemo/collections/diffusion/recipes/__init__.py,sha256=13yosXsWScSl-CdXLAjl2rP_PMOw6J1U2sJse2U3XzI,1008
nemo/collections/diffusion/recipes/flux_12b.py,sha256=2y6upPy4UWU0__I8ds2aeNNr5jaSrW-7CZNEHB-86kc,7145
nemo/collections/diffusion/recipes/flux_535m.py,sha256=1oh7AZxSC1iOY228drgleot8cYDXBMY8At5gR82mWoU,3802
nemo/collections/diffusion/sampler/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/sampler/batch_ops.py,sha256=LfGqVzRoxpc_mJNkq6GWy-mzrV7UKq-TPSREzvlFWjc,3113
nemo/collections/diffusion/sampler/context_parallel.py,sha256=Z9BqDQ-8pCEkeM__RxKIXRbpf5THCShAUM9XgDsMOlA,1981
nemo/collections/diffusion/sampler/edm/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/sampler/edm/edm.py,sha256=OPqc2GF58bbTijOkvsyvj-x-OVTZCz-dkMeEE2xItDg,5725
nemo/collections/diffusion/sampler/edm/edm_pipeline.py,sha256=yYOae5zzygLr42PwofahrkGe6oTK7BpHOND0Q5RO5F4,17525
nemo/collections/diffusion/sampler/flow_matching/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/sampler/flow_matching/flow_match_euler_discrete.py,sha256=Cq5iotBIW1EJTgCVil2RnJGQOhB8G7zwVEfLlBlK4B0,10845
nemo/collections/diffusion/utils/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/utils/flux_ckpt_converter.py,sha256=6iQeXfXPBzNNU9KvE_OkA4nHXdiabq8CO7wk4FHE-ug,11387
nemo/collections/diffusion/utils/flux_pipeline_utils.py,sha256=ruYzcfoHQ-gK2OHoGm1SYNON-ruWkQgCvt0FaMv304k,2023
nemo/collections/diffusion/utils/mcore_parallel_utils.py,sha256=Y5d2M2zEsUTozQ7xEFPooKcjNWKjl4N_1-6Yr-pgZLc,2808
nemo/collections/diffusion/vae/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/diffusion/vae/autoencoder.py,sha256=UB6ZPcAcbkp4dS_wVm8J4y5KYc01TKr1td3l3JowOgc,11076
nemo/collections/diffusion/vae/autovae.py,sha256=V0OxPvgthyvXOXIevAykK45G_VMfrhe16ma8gedBG80,12286
nemo/collections/diffusion/vae/blocks.py,sha256=Pa-9z9JRyIWwv0Q6O4VuUuGqnLNQ13Mjdpf4VEpGqw8,11296
nemo/collections/diffusion/vae/contperceptual_loss.py,sha256=Mw8Rpb40jyNiZv-_KZGIYSpr1GMmYKPQZFZbVapQfdU,9232
nemo/collections/diffusion/vae/diffusers_vae.py,sha256=lF2Iqcp58hBluAHcx41tAI4n9iTxzAXzJg5p2XkJ9dc,2318
nemo/collections/diffusion/vae/test_autovae.py,sha256=XoP7zwEa6XZTIm6Hj-avyLaOaij6oY2jvmmqV1u7tE8,7119
nemo/collections/diffusion/vae/train_vae.py,sha256=allxZD8k1ygyJiF8lB4j3z3aSWgH6SoLNUIq7-BvpB4,12397
nemo/collections/diffusion/vae/validate_vae.py,sha256=RdKna0GeHf8Zu4u6IuqLJopl9T8H3-xEvGSek1KdCEw,1765
nemo/collections/llm/__init__.py,sha256=3QYqnqwEsKBUEOcDh8gOpbISypflWS0NsQtAj-J0V20,10879
nemo/collections/llm/api.py,sha256=jH7xw8yuj_Y2Qz-vjx7daz9Y-iIwWACwIqYj1N0fD00,64200
nemo/collections/llm/utils.py,sha256=gIYi8J1qqrNUhhXzLgIceNv2WGjtdxkDwj3xJmC_nNk,2798
nemo/collections/llm/bert/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/llm/bert/loss.py,sha256=wo7OlmowiZp0EsYzETF2_VxCCepy9ZrxXl2AdHvpkHw,15546
nemo/collections/llm/bert/data/__init__.py,sha256=-iPORUQas33eSJImEamO1lEkjcFMejDL0C4sigF4D4c,302
nemo/collections/llm/bert/data/core.py,sha256=h_xAuqrzMef2Z4e8joQUxoGfGFLY5AlWjXvm3syIOFg,16076
nemo/collections/llm/bert/data/fine_tuning.py,sha256=6p12c3qm3gdz5ehKKwzH3rvvxjWNIfID5fueQ4PsaN8,9349
nemo/collections/llm/bert/data/mock.py,sha256=36weHDvbk0M02OnJe3XF2Bwntdmyr34icOwtxZr_JiY,8703
nemo/collections/llm/bert/data/pre_training.py,sha256=2255U9qxOJhwgyeBcLbMcMVWXe96fGbcwMVsJqGDgic,15930
nemo/collections/llm/bert/data/specter.py,sha256=NFTuPtXuI467pwhFhWAQUg5OMfK24DgwaSdfbq_IJ80,5877
nemo/collections/llm/bert/model/__init__.py,sha256=qjRjElTyqiChW6OFSLcqFECwF-o3Dg_Sa2WFxTRXN-c,812
nemo/collections/llm/bert/model/base.py,sha256=55a9thVo_LoGKKpvAA108iwZc4ckuj7xgFf4GCeEDps,29950
nemo/collections/llm/bert/model/bert.py,sha256=v43JBKDzR_I0xdNqSPOWrVSPiEosChCsrAS0Njg1Ysk,24355
nemo/collections/llm/bert/model/bert_spec.py,sha256=wJc5rAU-NhshAR5xcazh5MK5-ak2xgSTqcr9wLNFYAs,9453
nemo/collections/llm/bert/model/embedding.py,sha256=GYLwUP5WgDajdLB1Zxgm9SfE43r5fzmLvJ7CPMtq1Ls,8437
nemo/collections/llm/deploy/__init__.py,sha256=_8KFbghw8IpHsofVWKyalw7knRGXikpO-tJk4x7R0PI,164
nemo/collections/llm/deploy/base.py,sha256=w1P310w3X4pMVXEYq3IPxykuVbLbRJonPlbNsbI-l-E,4395
nemo/collections/llm/evaluation/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/evaluation/api.py,sha256=1OG8VBZLSCla8PFLJXx5_MWd-7YRSM2VFFuk6wGQlxg,7453
nemo/collections/llm/evaluation/base.py,sha256=DlxJ2sg5xYceLZKKNRzgimiX29UhjInqa0HCATDOgFQ,21423
nemo/collections/llm/evaluation/adapters/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/evaluation/adapters/server.py,sha256=gyOWU4vqz1JJmR4bALWRs40cCaUtbonZFevyXF-Bdug,11761
nemo/collections/llm/evaluation/adapters/utils.py,sha256=dNwrbUHyEJPW9bwbu6dh6kyBGIVRipQmy14phSzacaw,1471
nemo/collections/llm/evaluation/adapters/interceptors/__init__.py,sha256=9mfuJlK9B-POknQuM5xW6Og6HgULwLG8-ABIBJp0HUE,1086
nemo/collections/llm/evaluation/adapters/interceptors/endpoint_interceptor.py,sha256=YxucfdnV3GaHQzyQ2rRM1xlozMUN-azOy6CJriWqznQ,1501
nemo/collections/llm/evaluation/adapters/interceptors/logging_interceptor.py,sha256=7ZlxbrnBQX0FiRUtsZyr1DdxiN3FDwWR177ACKs_yio,5458
nemo/collections/llm/evaluation/adapters/interceptors/reasoning_interceptor.py,sha256=_H1eFUBZmBm6obmPn8iZ2pJOaCLz17oPNLa9H6mPmOE,3813
nemo/collections/llm/evaluation/adapters/interceptors/system_message_interceptor.py,sha256=hXyDWpZZcgnLgw1CvohggNu3VWwXIiVEQqga3COJq2c,1852
nemo/collections/llm/evaluation/adapters/interceptors/types.py,sha256=3jfXjbZTZCzNY1A5n7XtJ65beipNZJIiOry_uLt12h0,2111
nemo/collections/llm/fn/__init__.py,sha256=3lMaSmELuLX4qNUxeLHSsb_-zNd5HBEr-6V85HdOv6E,750
nemo/collections/llm/fn/activation.py,sha256=BUXz8wfGVbuHNUZmaZBmZP9Ck2GjWq_iGLSpcgZmMKw,1158
nemo/collections/llm/fn/base.py,sha256=bQPZssZzh8Q0Hq6CsMFIGAB4PYXYs0EWHh4C8NJed84,11084
nemo/collections/llm/fn/mixin.py,sha256=oeqJ9b4XyivHuOsIQpqJ-4L6CX_MUDYeIY2lsJ9aVuQ,6208
nemo/collections/llm/gpt/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/gpt/data/__init__.py,sha256=LIwEN1wPVy-jWfPRgnXIDMnyR35YP6RtpOYyoJZaGGA,1932
nemo/collections/llm/gpt/data/alpaca.py,sha256=TipfMIZEJNRBItmBdYBE6zJHBQbbL9mrFhVPOfRznPE,5323
nemo/collections/llm/gpt/data/api.py,sha256=41KTVbq_xDxiKh70HTOIq3guRQ2NEP-mG0xvpKI20Ho,1636
nemo/collections/llm/gpt/data/chat.py,sha256=YkbZkc45NOKU4GaJAS2gCUNj9wBThnVDIbIvkfa3zWk,3531
nemo/collections/llm/gpt/data/core.py,sha256=64pNs1_YbhQ2_cxmuC5V3-GrABaSiKgkP9DnPza--WY,50557
nemo/collections/llm/gpt/data/dolly.py,sha256=oxVNG8-ViuGjF1OD3MFrpShKZqGLRjgbu2nPuxSFIzc,6084
nemo/collections/llm/gpt/data/fine_tuning.py,sha256=sAwL9ZN6mb3VDao-_Ah-t7sk-0I5VlOuUMY7ZFQfJjQ,16453
nemo/collections/llm/gpt/data/hf_dataset.py,sha256=9ePqQhMFj689vyGISnEoig9VTN454wLrCwQi5jLPD2w,28341
nemo/collections/llm/gpt/data/hf_dataset_packed_sequence.py,sha256=unn9QOQdzfFCJxamuNFLroUkpq1g6RMNFMici0Bbqi8,12834
nemo/collections/llm/gpt/data/mlperf_govreport.py,sha256=qzwslil-qQ0O9BFxkj5im1r9gKK42Mw-EGA0drHFThE,7573
nemo/collections/llm/gpt/data/mock.py,sha256=Wmi0pER3JnhJ0qyiSBo_3ql8ZJTJpWZPxqnXz62vtKw,9697
nemo/collections/llm/gpt/data/packed_sequence.py,sha256=pEDy1AwzuwspaksTB0iCJGnTKLq2gce-csyaVhOqPHw,7483
nemo/collections/llm/gpt/data/pre_training.py,sha256=7B9cEUfpI-0w0OaQpafSKKfOqtOkAqc71XuSzlkqx5Y,22711
nemo/collections/llm/gpt/data/reranker.py,sha256=G1GB43M3Q13YNFHOXp-dj5Tbdk1k8ZkNEUMWtmDl7tA,32219
nemo/collections/llm/gpt/data/retrieval.py,sha256=_MP-UoruZYCMrOucE0DBtXcsL1NAB9wO2FBSSZ3oX0w,9642
nemo/collections/llm/gpt/data/squad.py,sha256=TkOVbdK3stN_S00NzRGXkGstp9mGSSCWXsmLukc54gQ,6701
nemo/collections/llm/gpt/data/utils.py,sha256=fIKK4BLTBrY8rPqC17Woo_GttLkrIYZxtgqZTukPHoQ,52258
nemo/collections/llm/gpt/data/megatron/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/llm/gpt/data/megatron/hyena/__init__.py,sha256=gv74P1CzpHmqZ3Ftw1yYFM36gC49oej5__vqUUEq-FQ,107
nemo/collections/llm/gpt/data/megatron/hyena/config.py,sha256=PNDKWwoG4Vk8mXXhME31mD-y_gb7SbBzy01ZfVAgCwM,7974
nemo/collections/llm/gpt/data/megatron/hyena/evo2_dataset.py,sha256=QrO1IqsEW_9bTh01NdE6xZHf-vj6nZEen-OwTqoDbiU,12707
nemo/collections/llm/gpt/model/__init__.py,sha256=1ZV4gu2d0ONBJPytflHhb0hdXRRBHPD0JCf16zU2EDk,8782
nemo/collections/llm/gpt/model/baichuan.py,sha256=qNSyR_EiXs02-VTQ_5tOSfoNdJoONRj1nOQrfYUC3bU,14336
nemo/collections/llm/gpt/model/base.py,sha256=QpwnnkGE_cw3Kgso4gyKpOGa7I_vmMMOZs8Ty2NM7cA,30794
nemo/collections/llm/gpt/model/chatglm.py,sha256=kU_dbtSJdcZ2u0NC4SjlN867qy0wp6D1jOhvXmHfD9Y,16854
nemo/collections/llm/gpt/model/deepseek.py,sha256=nQPU-HJjbb7k2NytYcfPFmBWuGb_KbMAuMoNrRW6_No,31789
nemo/collections/llm/gpt/model/gemma.py,sha256=z6sDCgYezgWdO-t4rHgbfHpGSplLm7pQrkVnrDjmQE8,11612
nemo/collections/llm/gpt/model/gemma2.py,sha256=yGp8lXuby16Ypl2ES8fdaH3X6p2Rvb1KdP4UmkU-JxQ,25107
nemo/collections/llm/gpt/model/gemma3.py,sha256=Uys0WuHRI4ySWb0zkAdeetbZf7mECdwncM4xdSZy5Z0,23679
nemo/collections/llm/gpt/model/hf_auto_model_for_causal_lm.py,sha256=2iARF3ifuI3Y9eOfkAzIK47xulQHoFF0HhLSM4CwmYo,29176
nemo/collections/llm/gpt/model/hf_llama_embedding.py,sha256=58bTKM7BjQ4uWWngGtJOEUWHEyY08cfqvd5_I2ws728,12532
nemo/collections/llm/gpt/model/hyena.py,sha256=UzWlLYT1zZYGwF_56zRZE4CwU9DrkxRIqdMZ3I4_AxI,34273
nemo/collections/llm/gpt/model/llama.py,sha256=XDDtX2nuJMzYUZG5CKtmuLQ_r8nIzbmNu4MNtLkXN8A,54437
nemo/collections/llm/gpt/model/llama4_utils.py,sha256=CcUHTKAz7gpMArw7zfd1dClzGJqKSAkG5gu0XweS_gw,20057
nemo/collections/llm/gpt/model/llama_embedding.py,sha256=jJ4CjRfo4XsH6qqyoXOSK3zFLhwBsv7UUI1mYsnWsxQ,17900
nemo/collections/llm/gpt/model/llama_nemotron.py,sha256=qkrgnPnJgRGUdTIDy3KbKHR39bki9GBNlQaLW-l8e8s,31957
nemo/collections/llm/gpt/model/llama_nemotron_config.py,sha256=FTYVV5g05f_VzaWCms6Z0077Nj5YvwltCCfHyhPk9FY,112110
nemo/collections/llm/gpt/model/mistral.py,sha256=CR36W0aH_CMQDcH6R_U9MdoKAyidA6vgwoi_M-dbc8M,12009
nemo/collections/llm/gpt/model/mixtral.py,sha256=tJW88ieu3JjCUl2fNmQ5GjkG3Sl_-8OT3CbEF8CG5MM,14491
nemo/collections/llm/gpt/model/nemotron.py,sha256=6I5RYE4-TgiFDJR85rgTPyFPUT7x-LGh_MwgMj4mnQM,16068
nemo/collections/llm/gpt/model/phi3mini.py,sha256=IuxUGR1cULGSL11jKx7M_zX6Qdz1B8mvrzmixKw_MnE,11749
nemo/collections/llm/gpt/model/qwen2.py,sha256=PpM6LvU7F0H3TbyTmr31gbAkYcKjv5ZAHOKkHIpt2Y0,14293
nemo/collections/llm/gpt/model/qwen3.py,sha256=vdJl9J7gzO595Byrrt394-MytGsiWpZQc0uqbtMviac,15634
nemo/collections/llm/gpt/model/reranker.py,sha256=egpepH4AY5X0bSL2rkHzutXifMZPpMXDsz6imdTGT3U,25548
nemo/collections/llm/gpt/model/ssm.py,sha256=fh-3JztbMqUrAn0jC3apbXY6uxjgb79RxAXCgr0E0c4,42255
nemo/collections/llm/gpt/model/starcoder.py,sha256=oVS0InyZDoCrXiV3YKm4mreaLUJ3VVwkbEst3GQOYjI,13766
nemo/collections/llm/gpt/model/starcoder2.py,sha256=cRBWVvKY7qR75gwZgmN_GnJFtJ6f1Oc2yTNDhvBa4M8,16152
nemo/collections/llm/gpt/model/megatron/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/llm/gpt/model/megatron/hyena/__init__.py,sha256=3pgEecJ4gVNe7o1eoBPDpXlbfren7CwZFLW4GO5t-58,796
nemo/collections/llm/gpt/model/megatron/hyena/engine.py,sha256=6NtmQrEh-MoyD-bp-a6IpL8MVG9B3EB7IwCg_Iv3qrI,6610
nemo/collections/llm/gpt/model/megatron/hyena/hyena_block.py,sha256=TqFPRwpOqKlm9Xi1AyssBCQg9exTPX8TnbodmZoHRpI,17312
nemo/collections/llm/gpt/model/megatron/hyena/hyena_config.py,sha256=eXq99M4FFVhHUX2quJmTKVGp2qYOLnXNXWGPcuQB0yg,3936
nemo/collections/llm/gpt/model/megatron/hyena/hyena_hybrid_layer_allocation.py,sha256=89AE2mq3-h04MdURdJ5geQaA-lhEVp8HVKCXLTwX9zU,3876
nemo/collections/llm/gpt/model/megatron/hyena/hyena_layer.py,sha256=L6a-YeqMqtRc3IsTH_ueQfELHOrs1g09uDEjVUcIAPY,5934
nemo/collections/llm/gpt/model/megatron/hyena/hyena_layer_specs.py,sha256=WEO8BA7VpXc6ci0qBwfC5F2V0lzANRp96XCNPIUjxUc,6250
nemo/collections/llm/gpt/model/megatron/hyena/hyena_mixer.py,sha256=5L8iPLZBpFkFkEtSmxR85STF0sLaLLlWv8D4xRaKKaY,14186
nemo/collections/llm/gpt/model/megatron/hyena/hyena_model.py,sha256=KMZZZZzpgqidAFU4e7LEx-xWXZXrqLgSvUUV09i1tR0,19294
nemo/collections/llm/gpt/model/megatron/hyena/hyena_utils.py,sha256=0c5yhTmkh32_mwdev25eLKCcEQkxx7gX_Oj-ORnzdpo,63471
nemo/collections/llm/inference/__init__.py,sha256=BBbrP71sfEsUK-uyGAPbhXQKyMlN8ftbZRU4vtzgW8Q,250
nemo/collections/llm/inference/base.py,sha256=vaeHlYH5uf-wfV3M3fe-plau_N6ftWgDSnOuRSnmoaw,14265
nemo/collections/llm/modelopt/__init__.py,sha256=Cthtc_CbumQkjxrb5gWBIv1wHholgxKepdZUEyQSrUI,878
nemo/collections/llm/modelopt/model_utils.py,sha256=7LGFeoTLHz-vp2wP_DMZIKSIiYdokiEcLDOfDI5onYk,11816
nemo/collections/llm/modelopt/distill/__init__.py,sha256=mr3HB8ONwzWaZoXyOgA2w5V1B-0ZzvihHq4kl0ITgJQ,802
nemo/collections/llm/modelopt/distill/loss.py,sha256=m2ejLuTzy3XNixn6IIev9jw_nSC8ucEOs8tOvhL0gFI,14091
nemo/collections/llm/modelopt/distill/model.py,sha256=u0RKYNwRj3-TZ4Gzo_2Oefk-GxsfsXLigAxuwhFiwL8,9636
nemo/collections/llm/modelopt/distill/utils.py,sha256=FXulUyQniS42Idt2UxdG7gTWCuhhgll48R3DsTuXjZE,12731
nemo/collections/llm/modelopt/prune/__init__.py,sha256=wgmt-7lz8QDs3v9dMStNA2ioxehkYJeID7ipYbFPVo8,819
nemo/collections/llm/modelopt/prune/pruner.py,sha256=Vi0aCNm3kRRraPUTNgjb4YyG0L-vN9JnFoVFAXWlwtc,6036
nemo/collections/llm/modelopt/quantization/__init__.py,sha256=MB8C44Uia-6N2gb7VE20oznpMgAcQFnvSXNHKTpEs8s,845
nemo/collections/llm/modelopt/quantization/quant_cfg_choices.py,sha256=4_E7zIWbGmkK7MEc78_83sbIJk131w1lg0NeJO2Ci-Y,1957
nemo/collections/llm/modelopt/quantization/quantizer.py,sha256=gJCkwVQnAgveHW1f28mSwGhkpP8xfEomaZY6TaTY6X4,24744
nemo/collections/llm/modelopt/quantization/utils.py,sha256=cBvbpp8Bj5czmuVvxI75gMZJnnWeA_zv1NzMUoPDIe8,2106
nemo/collections/llm/modelopt/recipes/__init__.py,sha256=dK9JDbiePqkA0On24QUFZ-ZVLxU7GA2STzyJ2pAq_OU,788
nemo/collections/llm/modelopt/recipes/distillation_recipe.py,sha256=PZedO--hY_DrVDSpbol_Ms0EmHrGjwtX0_tvciD3Mrw,6789
nemo/collections/llm/modelopt/recipes/prune_recipe.py,sha256=A2XgqEIMFxvHKE1r8Izadd77drAXD7IBZIBVVo9KrNg,2588
nemo/collections/llm/modelopt/speculative/__init__.py,sha256=KiIID2mW6q3z9FiCIrsiCwoFjvyHW8TuPwgp8xXuEBg,709
nemo/collections/llm/modelopt/speculative/model_transform.py,sha256=o_V6uJv_gkZwdttJ5_ws-9XkOJ30QpZJPaS3bVXrXnQ,4099
nemo/collections/llm/peft/__init__.py,sha256=vfdOrE5TjzVbKoulQqe8DJT7ANZnGg01apbxkjP5ITU,1117
nemo/collections/llm/peft/api.py,sha256=DJ485oaAhPSAacywYrNl1HB6vMfHsNPaRRoLtRNTVuo,7226
nemo/collections/llm/peft/canonical_lora.py,sha256=3X5Pl62ZECK89NvH0v02oceWdQPC46vjsLTbrzOOGqg,14017
nemo/collections/llm/peft/dora.py,sha256=w2PIiBs8zn7aAEae_76bfiCpIcVQ9vKvTmLC8iQMvIQ,8821
nemo/collections/llm/peft/lora.py,sha256=UUa0PGUnLks2SO1KqnpfnJCqbGk2d2DEMAcCL-LrmpA,22780
nemo/collections/llm/peft/module_matcher.py,sha256=sMiDkgTrYksppnTcyhzRJbcvWJT9uB-FHkJZ9egcW-U,6168
nemo/collections/llm/peft/utils.py,sha256=2-Vsc5VPvlnGaPZkWwhXzuKw2rDSgXBYd3tPkSyXe3A,16634
nemo/collections/llm/recipes/__init__.py,sha256=_N4pgdgVn_FQSLxJCzdA4noQMhvQF6rPFBJIc6r136c,4855
nemo/collections/llm/recipes/baichuan2_7b.py,sha256=7Y1hx0NuQ6Y66ajPGdfLq1zimDDGLoJuEIuna0SkaO0,10620
nemo/collections/llm/recipes/bert.py,sha256=aFHAd1kw44IKJjH4eXEHrjPQPZ1p8Cm5__f94BMY_Mc,5815
nemo/collections/llm/recipes/bert_110m.py,sha256=ZgFhvenJCfRE1pqdd5seQ5RzVCxAzFt_hTlGcnLADYk,6663
nemo/collections/llm/recipes/bert_340m.py,sha256=Ip038486uoYDiXP7nANr3WemxYwVbtwVlNtyiXR6v-s,6666
nemo/collections/llm/recipes/bert_embedding.py,sha256=3O_rsoA-4A0zweRID7VXEWQU4mw7t4hTzFlFSHUB694,5419
nemo/collections/llm/recipes/chatglm3_6b.py,sha256=taSpUu1ugsTxdzQIZCPGNw65R-rRkMoHfw726ITOKLc,10585
nemo/collections/llm/recipes/deepseek.py,sha256=wF0xkCJanvtCKlVcKEgb9VrhOK3N9PQjINKXx8CD-uM,3788
nemo/collections/llm/recipes/deepseek_v2.py,sha256=wSATUqmOKLsKrYQ2HkyTo3nAINI_L3DgIUsoT0dkKeU,8000
nemo/collections/llm/recipes/deepseek_v2_lite.py,sha256=y0R41AG4xNE09mh-rh8C4hU55CQlJDBUGUODC3J_1-0,7487
nemo/collections/llm/recipes/deepseek_v3.py,sha256=jHnjddW8SAGRhuixYrB2QtfSUSDQZHksS897JONg-oU,12874
nemo/collections/llm/recipes/e5_340m.py,sha256=Vxh3C7EpGUSu_2iw7zcOCdZJGono89yorM_U549RhUE,3507
nemo/collections/llm/recipes/finetune_default.py,sha256=qYCAEV0t8jsEZAbyo3JsaUG8uJdTM9VdMb_Jk7OSHYQ,8209
nemo/collections/llm/recipes/gemma2.py,sha256=gdlRgqLc_vET5RO2ov3998SuCii_r_9uaW7pSWFOqu8,5428
nemo/collections/llm/recipes/gemma2_27b.py,sha256=AgbQfQEwxpB1ZtQxY8SRySHLjGHlxsvA7JwTsbRqKw0,8880
nemo/collections/llm/recipes/gemma2_2b.py,sha256=du3Xwj5mHIHbmpyDqo7oXoLOAJYrxU8ed6KPoVJ-5Sw,8669
nemo/collections/llm/recipes/gemma2_9b.py,sha256=_FQ6dJnYtXRJb2opUD8hmFtPJa1Dh6DUUok-LSgl0us,8742
nemo/collections/llm/recipes/gemma3_1b.py,sha256=jrODSNLpIdsdByvWAMC0gPrUTYbPjgGVgynkwu_M2YE,9874
nemo/collections/llm/recipes/gemma_2b.py,sha256=EUtyvLtS5snViE9gm-JPegGtVqztuvONG8gITzwsZro,10595
nemo/collections/llm/recipes/gemma_7b.py,sha256=R1EzHmPT2Pr8z-qN7kTCZa_97MZHgmgMPn5oMs7Leyk,10601
nemo/collections/llm/recipes/gpt3_175b.py,sha256=ufvK_52lVFDurBg7dKfJFza5QeyN9ntv5IHy12X-ack,9050
nemo/collections/llm/recipes/hf_auto_model_for_causal_lm.py,sha256=lSAl9b2JSU7XLP1VgPmsnNAzfv50UcIacLTWl0Jzt3k,9655
nemo/collections/llm/recipes/hyena_1b.py,sha256=7GfBLib0CmgcMLC_64Hgg4siRNK2tNUNM4zmzw8nOnk,3979
nemo/collections/llm/recipes/hyena_40b.py,sha256=2ylJS7n9H3yGcGFRXkKWzWYQ-FDS37mAuoxVMheSCwE,3987
nemo/collections/llm/recipes/hyena_7b.py,sha256=tXehAy23gFJE5mpbVXcJVgO6jwrVU2wuNT4U1CMnIIM,3980
nemo/collections/llm/recipes/hyena_base.py,sha256=uYr1ymTppS42VmWswUv3S7FVPZ2W-mV_5U86RzrLx14,21939
nemo/collections/llm/recipes/llama2_7b.py,sha256=U0q2dT-oUJPo0TYId_4rayo-VVJl352rFvnoffb3bQg,13609
nemo/collections/llm/recipes/llama31_405b.py,sha256=X0NCyP3dytERrFenbGcvBmcIFDN76S36qvrGEcfmfu8,16420
nemo/collections/llm/recipes/llama31_70b.py,sha256=Dj0UMPl9g-LDJVBtYIFgYxyUu5uc5ylm_SWQA_uSroU,15665
nemo/collections/llm/recipes/llama31_8b.py,sha256=0Et2liZzMjB-pBL805evs5jIExrYUJ1iqHhxCVuzkUc,14635
nemo/collections/llm/recipes/llama31_nemotron_70b.py,sha256=VpM5MJ5ynSg4iU5jijCz6O9QktR3o7v0S8HnLdph4pU,16502
nemo/collections/llm/recipes/llama31_nemotron_nano_8b.py,sha256=XZwhdZ5tiW_08tyzJRsIDl8ElCu-7UAF8DITtH2KHGU,14998
nemo/collections/llm/recipes/llama31_nemotron_ultra_253b.py,sha256=Pa3l3P_C1GwAkbmceTKWvs_BgXhiQTdMExIqdUmxNhE,7173
nemo/collections/llm/recipes/llama32_1b.py,sha256=HCd97-rZHxCWY1M_MDWIHW3mupJFvoPZYgJa5jOtXg0,9956
nemo/collections/llm/recipes/llama32_3b.py,sha256=CDypGkwk7mr8AyN3b_b67L0k5V_XVleTpv1gqOwH4MM,9956
nemo/collections/llm/recipes/llama33_nemotron_super_49b.py,sha256=dRQuTJwks_nV9R3guqzILOP5tDw_hC-UxpNxRVwwFUs,7089
nemo/collections/llm/recipes/llama3_70b.py,sha256=GZx74Thz_QrYeIaWsr9zvwYUJXG9H1T7NwNlMnabYfE,15930
nemo/collections/llm/recipes/llama3_70b_16k.py,sha256=0TGzs9IJXKgBvh5k1ZwO4oXPfrBblvonaYVURG14e_k,4503
nemo/collections/llm/recipes/llama3_70b_64k.py,sha256=dMtyq7C6APYfkWOeyWM8kc7k4GA3v9LTvNs5Iv69pHg,4656
nemo/collections/llm/recipes/llama3_8b.py,sha256=LK_fSfuVZzsSQ3YNY4mPcHYPaEwSD_2kEi1-G1j971I,14401
nemo/collections/llm/recipes/llama3_8b_128k.py,sha256=cCodj5sU72-MZ9ySsSHFCBXmypNs9WIrO4D4yOvR6To,4437
nemo/collections/llm/recipes/llama3_8b_16k.py,sha256=F4WPnavJiNgrc_sc_KOmkBmhM6-QzOG1Zvj4TrbUzy0,4328
nemo/collections/llm/recipes/llama3_8b_64k.py,sha256=pvelolF3bPaBmPsA4c3eiA_sgWmk6u1UuWmLcpWWjLU,4429
nemo/collections/llm/recipes/llama4_e128.py,sha256=aNxXBFSjGvsdA6UCRhWHwINT1JJEKm2NvMkvusMUtBw,15611
nemo/collections/llm/recipes/llama4_e16.py,sha256=dZZPkvzdv6H5Mz_q14qWO7GmnMbH0WB8TweHqKW8aHM,15557
nemo/collections/llm/recipes/llama_embedding_1b.py,sha256=bPbGlBX_lzbALgwGX3xlXa33p0nst6riW4AANbaurNc,10618
nemo/collections/llm/recipes/llama_embedding_3b.py,sha256=H829yDNfS3cjx91ESDQkZpu_YJMFLNIDKvMVHhrV_AE,10755
nemo/collections/llm/recipes/llama_reranker_1b.py,sha256=ypXlnngsYtWEHbCYiwBgSLWZxmPVXT9G88hQeh_2kas,8637
nemo/collections/llm/recipes/mamba2_130m.py,sha256=rkEgyeC1cCWhOV772N2YBppkIdude4OtV8tuVu9hV_4,12430
nemo/collections/llm/recipes/mamba2_1_3b.py,sha256=-mfuWvwtgLNL_gphC4L5douX64w-8JAhtCfbVPh4OX4,12492
nemo/collections/llm/recipes/mamba2_2_7b.py,sha256=wQBMMdQcABKc-PJ6tP71olOBTjZrSjWrePP9MKLVgj4,12430
nemo/collections/llm/recipes/mamba2_370m.py,sha256=NUiBuu3ZdsVNf60d4bLuRrIEm1xz5pnEdGL3QCE4pdM,12430
nemo/collections/llm/recipes/mamba2_780m.py,sha256=zXzrSZ7EIsKzXmskNrSNdr_j2xaUyybzVCEtK01t7kE,12430
nemo/collections/llm/recipes/mamba2_8b.py,sha256=WBzkVrwP1Xv9j3nYZZ1mNt8OLBo9TGgB1wASW7onwPg,12476
nemo/collections/llm/recipes/mamba2_hybrid_8b.py,sha256=c7oby5svnMd3XQuqbTnMWT6xg0BRFTk-bWCqpQy-wHM,12593
nemo/collections/llm/recipes/mistral_7b.py,sha256=zqZeV60r41ansTTyixj6br24mfzUcUwU7KsbIRCW2PA,9112
nemo/collections/llm/recipes/mistral_nemo_12b.py,sha256=nyDo-QmbAT02DKWY1Hm1Hnpj-Qec__eT4cNtbNe9uxI,10837
nemo/collections/llm/recipes/mixtral_8x22b.py,sha256=QZ8phMtSJ-1fKfNRIz7sZsXWK11afLerDivU0HVSh7g,11650
nemo/collections/llm/recipes/mixtral_8x22b_64k.py,sha256=tUBbYWBp486jAvcLS7U3Cr6Ar2CAtKEiSA4_9M8j3ek,9090
nemo/collections/llm/recipes/mixtral_8x7b.py,sha256=PUhkSASzUAXamxsp2PtS25wJM4NsEdRF1AEAT_lpHg8,11450
nemo/collections/llm/recipes/mixtral_8x7b_16k.py,sha256=LHzleycPMZJuXSBoNsuWWL7g9zn8cvSBUTEAPgAZg0g,4511
nemo/collections/llm/recipes/mixtral_8x7b_64k.py,sha256=oFe3DvuLpV_sMcOEzrl_IuXisXKRfo1vNDTcFgoj_bM,4699
nemo/collections/llm/recipes/nemotron.py,sha256=SO34YYMrtLxvMRrCtgamN8bbXhQeBJauVkhMValyUQs,6300
nemo/collections/llm/recipes/nemotron3_22b.py,sha256=Xc1SEJI2Y3zgfuTHNuNKIQkXz_nLYJw_kBtqGV5AjJ4,10985
nemo/collections/llm/recipes/nemotron3_22b_16k.py,sha256=zkN5DabSPLLUGCAZY7zESAEmZM9-hfg0zqRVDJnzJAM,6660
nemo/collections/llm/recipes/nemotron3_22b_64k.py,sha256=44vjMoxI2vpAj8XN81fg1EonZUSxvX5vm4xe4RBmw9M,6670
nemo/collections/llm/recipes/nemotron3_4b.py,sha256=GEV6PjOJ1ZEI_wNlSJZN1Hz3CnD-th08p853vlz-KHk,8774
nemo/collections/llm/recipes/nemotron3_8b.py,sha256=enXK8-q-H19ZnDV4wvuTi8NbNFxTjQPqVCnZm3KceME,11840
nemo/collections/llm/recipes/nemotron4_15b.py,sha256=A71IRMx_Kaq2Li42tig0_XenwCoOWYGg7tWz3gFzwRM,10750
nemo/collections/llm/recipes/nemotron4_15b_16k.py,sha256=x6wAYWRBruReoV4VjEPcrwNbrMR0B6lcjz-eARiWOcI,6674
nemo/collections/llm/recipes/nemotron4_15b_64k.py,sha256=C9N9SUTqbTvXyWVFI9-ZJ-7x6K_HVW5H8c3LFKklP2w,6674
nemo/collections/llm/recipes/nemotron4_340b.py,sha256=n-fHc5fPjG0l7Uf4fdLcc_SsVb8j0HZKrTGpRr9UNk4,11295
nemo/collections/llm/recipes/nemotron_nano_12b_v2.py,sha256=PC6HIbH0JVLJWGviPPI_OTINQWJhihbl9MTAoF7TlZk,12987
nemo/collections/llm/recipes/nemotron_nano_9b_v2.py,sha256=_36CRAOHrouVcH7MdNsoIiNa0uL46Za7NcQVdeJ0Re4,13151
nemo/collections/llm/recipes/nemotronh_47b.py,sha256=9IXJL_nYgR53HxE66EnXE1t3rH--l45Z9OeEATXUEWE,14404
nemo/collections/llm/recipes/nemotronh_4b.py,sha256=ekRT3SNn3n9ebgmQTkZhKriWHI1065Yf5Kz7grJ8_qc,13340
nemo/collections/llm/recipes/nemotronh_56b.py,sha256=1W3Mjcgp_ovVNSUrvEa_BPjZXbeyUyTgQ94yoVlC2No,14403
nemo/collections/llm/recipes/nemotronh_8b.py,sha256=smkLbeV6S4U3AIFS3Ttt7WzCR7wBXvx33Pluv6uFP9w,13337
nemo/collections/llm/recipes/phi3_mini_4k_instruct.py,sha256=CLXU6g5tccI4rEVQXgoFcX8NPnu0XnNAdHeG06J3XV4,10703
nemo/collections/llm/recipes/qwen2.py,sha256=l6rYRp3hSTlQj6Uij4T5rhdpWKf5T4vMY2uiyzqeZhw,5913
nemo/collections/llm/recipes/qwen25_14b.py,sha256=2pYueRA9rXXTURE9Lh9SVDDaFFZwhtzKL82P53jYiFA,8780
nemo/collections/llm/recipes/qwen25_1p5b.py,sha256=dEf8tiJd05IxnMlHR0W7JWPkAj4INq1mj1jfdtqJoJY,8728
nemo/collections/llm/recipes/qwen25_32b.py,sha256=BRWfvqsCG_Drp008pO_G_PnEuawh1R-IellA0lNNXsQ,8915
nemo/collections/llm/recipes/qwen25_500m.py,sha256=5bI10TPD0j8z5OMHYUR6WnkcLdUvsK6aoAdOikhNb4I,8727
nemo/collections/llm/recipes/qwen25_72b.py,sha256=vpnQr7L3jA4JQ3uVf94W3Im3IBqoYvI2vcvzmAqQ_lU,8944
nemo/collections/llm/recipes/qwen25_7b.py,sha256=pHqHnSFj3ZOfX2qt8J5xdpfy2zXhosoLwxE-lSwooBg,8767
nemo/collections/llm/recipes/qwen2_1p5b.py,sha256=KOYfirzixg-Fs_Zp3_NAfGcGAtRSCIXd240xnf1S8FM,8710
nemo/collections/llm/recipes/qwen2_500m.py,sha256=1FVV8OW0jj9ruPsRs3rb2O7r9us_5KdJ5-UbG4UtfLE,8710
nemo/collections/llm/recipes/qwen2_72b.py,sha256=RFe5vWM7CDziJn50reTKYFuKIHF5k62WjCNtbB1jopk,8930
nemo/collections/llm/recipes/qwen2_7b.py,sha256=oSkt9j8RmCQLaZnLgGfvsyDTZoVH343OFr3h6isetZU,8751
nemo/collections/llm/recipes/qwen3.py,sha256=ctqjkkcfUNBBZ8zXh9-dNBuZky4DGrc35LEJUMQK_bE,7140
nemo/collections/llm/recipes/qwen3_14b.py,sha256=nU7v_hffKDWfdL1_ZRqAul1iAQEAQdQLCKLL0sEXNwo,8941
nemo/collections/llm/recipes/qwen3_1p7b.py,sha256=3RaKTopZamjA9ixjcIoLP7Z5KP85R95nnCJ2fSn_qUs,8865
nemo/collections/llm/recipes/qwen3_235b_a22b.py,sha256=fTcCjp-0AQ-N0391N3oFIojezcA0v72_nE-qL0gQQHM,10289
nemo/collections/llm/recipes/qwen3_30b_a3b.py,sha256=Xc3zi4O0sYipuz4kxU5bgHmkWsmfICTn4fH8pCRoGfs,10041
nemo/collections/llm/recipes/qwen3_32b.py,sha256=DZ3dWARtAXoGslc36-Tej5G_1nxNr097m4Jho-41Dbo,9256
nemo/collections/llm/recipes/qwen3_4b.py,sha256=KPTXPmMKARCocuRQ9Xr4abnq2tAW0qyPERqx_LNWUH0,8938
nemo/collections/llm/recipes/qwen3_600m.py,sha256=lvlFvu4OCtL2bb49QBG5pJANZCizWR0MTsBVGtAr_wA,8710
nemo/collections/llm/recipes/qwen3_8b.py,sha256=4mq0RqTAFoper95QqxklqVwgnxZPfvCZfkhav9Y7ubk,8938
nemo/collections/llm/recipes/starcoder2.py,sha256=k0EH9ztrqaD3Qn57jbOm9CfGco9E2ow62efn-_W_TDQ,5196
nemo/collections/llm/recipes/starcoder2_15b.py,sha256=dHQvWb4MorDact26ZaEgGwDLoSaOXGjzkAv7Kyya6NU,8866
nemo/collections/llm/recipes/starcoder2_3b.py,sha256=MKsKxwT4kvAD2XN5TuNBTFACyVR7cW3s5QfyNRNbjoQ,8845
nemo/collections/llm/recipes/starcoder2_7b.py,sha256=ZHcvhTyNnWj0Oo1QKKxdfu47eqcLCwgGuIgGgymKsq8,8845
nemo/collections/llm/recipes/starcoder_15b.py,sha256=zC1VBYSlkjv-EGq2g1k8yzk8pCDAXXB7wwh9EhAI9RU,12216
nemo/collections/llm/recipes/t5_11b.py,sha256=TjVerxRuPagkAwoZaQtp31e9JoYNUGV4x8jt-jyKVIQ,10076
nemo/collections/llm/recipes/t5_220m.py,sha256=_ZkR286JZnNuq5SwVkZQQGXWe9JP9s9FBSsRnnesy3c,10065
nemo/collections/llm/recipes/t5_3b.py,sha256=H8l2zrEe61Y_1tvySqqw_XckFehrMWcz7AuRQ4ISRS4,10062
nemo/collections/llm/recipes/callbacks/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/recipes/callbacks/common.py,sha256=mSR9NuYzIqn7T-aJGw35pYJKbKPOB6oWM4wN5P98KQI,2876
nemo/collections/llm/recipes/log/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/recipes/log/default.py,sha256=gPvMxAjfbL-Iss4U7iEWFKFaJSQLyGpks4m6wBfS10M,4801
nemo/collections/llm/recipes/optim/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/recipes/optim/adam.py,sha256=eUP-n5NRPxboBuW_S1rPK3K64ZjU02tNgp2U89NuIq8,4925
nemo/collections/llm/recipes/optim/sgd.py,sha256=rm0SAjrncv_5hF7xnHm1QpN4GQ9AjOjn3DN08fMtKC8,1751
nemo/collections/llm/recipes/precision/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/recipes/precision/mixed_precision.py,sha256=bNsA1wPmTLnmOaySqKep-RpD-FEU622DbLXUkaa97k4,8421
nemo/collections/llm/recipes/run/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/llm/recipes/run/executor.py,sha256=aaDbfyFzFZ6-il_LENzqQclp_Dpyip6yKQYq8dFYg2w,1578
nemo/collections/llm/recipes/tp_overlap_configs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/llm/recipes/tp_overlap_configs/userbuffers.py,sha256=OeGkPX9V8Dfv5rJYU6tqDvx4jxDtt56mSt2xmXPjAxY,16524
nemo/collections/llm/t5/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/llm/t5/data/__init__.py,sha256=PhshOIvf2hwk_OHnIHr8VkW27TTrsi-4dB0KDbI9CX0,372
nemo/collections/llm/t5/data/core.py,sha256=53t0nPQ2y0QyGC5xd8MwHc4knj03e393mf8jmFVWIv4,6981
nemo/collections/llm/t5/data/fine_tuning.py,sha256=rCwlS55dvhP4EtIb3H5vdBiwctUOU3Ep8exxzgY8MUE,6708
nemo/collections/llm/t5/data/mock.py,sha256=DPOB5a4SNUdCgsOpUDkvNcY6obJnIopl4_VVMKN5u4o,8503
nemo/collections/llm/t5/data/pre_training.py,sha256=aFy6ydrRpqvxmu6FwDLBGL4JUZXF3cQ3GKJYomBfsYk,16532
nemo/collections/llm/t5/data/squad.py,sha256=z6dU9aHyYJOzfdxmw-guvpuFqTLuTSh7zWRtE2V7qiE,6433
nemo/collections/llm/t5/model/__init__.py,sha256=VmokVxG1K9166EJZwwdXowjDnBU_QYBhOwHqIiUlRvw,492
nemo/collections/llm/t5/model/t5.py,sha256=Hy7CmhftFcDoOWYKcEBcJxMumDXWGJykelX2L7IJZs0,34671
nemo/collections/llm/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/llm/tools/auto_configurator/__init__.py,sha256=ltgXxlTrMJFMPsRhKwT_dwuZGcm5vjJaOh-cmAZER08,195
nemo/collections/llm/tools/auto_configurator/runner.py,sha256=FV9bvyM-MhCXkSXZyd_JS3L3K2p5FqZu0u3lzPI8Cq8,12180
nemo/collections/llm/tools/auto_configurator/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/llm/tools/auto_configurator/core/base_config.py,sha256=PYABbDdTx57joTcdEYht5KOYGqbrbqJmuJi1GOAZOPY,4665
nemo/collections/llm/tools/auto_configurator/core/calculate_performance.py,sha256=D3FQ1B9gaxsB8pJ8jGf7w8iTfEfuYXV9q9bkm7S31QU,11077
nemo/collections/llm/tools/auto_configurator/core/training_config.py,sha256=gQFv3S7-HjY3Mm6RRmb-NOQi5sCqmY2N-kGzFrhMtkU,34999
nemo/collections/llm/tools/auto_configurator/core/utils.py,sha256=yUVtVw3buhu4xckrWeJV4H_Xi87VcBZ0hLk1DSkagFQ,18781
nemo/collections/multimodal/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/multimodal/data/__init__.py,sha256=4o5TrzhHXBeSUDOT1iR0tmiCnYfWIPLW8J2GBnB0STA,838
nemo/collections/multimodal/data/clip/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/multimodal/data/clip/clip_dataset.py,sha256=3QQXfs09LypX-o5Faf3wHymNKyUwJjvisav0qEvGXdc,9748
nemo/collections/multimodal/data/clip/imagenet_zeroshot_data.py,sha256=XDZSOQAnjDOt2eksrpNft58lCxgB9d0kke_GHm9S2OY,22752
nemo/collections/multimodal/data/clip/augmentations/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/multimodal/data/clip/augmentations/augmentations.py,sha256=dxfRYyBByHJFJjUTsKpihw_Q1MmK5yTJnQLQ4UPCOYs,6226
nemo/collections/multimodal/data/common/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/multimodal/data/common/data_samplers.py,sha256=pFJHo_FgzE8PxXDa9yrzOwwBdecJZhEFj1aSY5bwi9k,5804
nemo/collections/multimodal/data/common/utils.py,sha256=npekLMcq85NcVtNZkY_VvMXQ9nnV4hvKfWvs022nLlk,1248
nemo/collections/multimodal/data/common/webdataset.py,sha256=h1tRxe0nsYTvbUFkU1Gd3Zl6jpwouymaO5Ab0TEfPEA,12664
nemo/collections/multimodal/data/common/webdataset_s3.py,sha256=P1cj5iIgvsgp6J381VfIj9gboLEryixv6KmpyXTqsUI,10823
nemo/collections/multimodal/data/energon/__init__.py,sha256=oZfZBYJe3Z9CJfC1ykqx5DAz4rW6MLzwr8BpAMjuHLU,1477
nemo/collections/multimodal/data/energon/base.py,sha256=agnd9JGR9m9TcjJAqZU-jvppk06-9JiQzhAB_nK3a-A,20594
nemo/collections/multimodal/data/energon/config.py,sha256=TmyIQNVMDPp92XTH2rQ6LkvKLZUv5tyXXX53tSMaYfI,3485
nemo/collections/multimodal/data/energon/conversation.py,sha256=yIz4Gf97Y5vuxNQ3TOaNS-Yx9xXqEvkYHGpBW-6973w,2268
nemo/collections/multimodal/data/energon/sample_encoder.py,sha256=ZlQkyFqWpYHiugkdxxLBndOPCmepPwr2hs_K67-j3eg,26200
nemo/collections/multimodal/data/energon/task_encoder.py,sha256=fYolch9AcIkwpn1VpMGnk22sWfzw49dk2l9pFrMWhFQ,14357
nemo/collections/multimodal/speech_cv/__init__.py,sha256=luOpeaFQFoaTuhShm5a-9fnGhGMNIRpjRhPv8JJtPA8,925
nemo/collections/multimodal/speech_cv/data/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
nemo/collections/multimodal/speech_cv/data/video_to_text.py,sha256=H7hK0-HHeJkG8QjMw-HHNm4Gsspkg4XlHWUk0ge4--Q,38249
nemo/collections/multimodal/speech_cv/data/video_to_text_dataset.py,sha256=TEJpL5hstonXUpAWrmheWPsfOzvD4DuWRqTBi2Xqvrg,11767
nemo/collections/multimodal/speech_cv/models/__init__.py,sha256=zOWtA-6sEE49x0b3FAXlksS2v9jyKu0I9u8CsPYPdGU,1300
nemo/collections/multimodal/speech_cv/models/visual_ctc_bpe_models.py,sha256=MgHGJx_66fLUTAfHFhu_bJkrBmbfrlEWrC-X-wDuzio,12796
nemo/collections/multimodal/speech_cv/models/visual_ctc_models.py,sha256=vPCEcOT2QK4SeAbNOcMMtThlOrlMpg_aq8RW-1-CmG8,30684
nemo/collections/multimodal/speech_cv/models/visual_hybrid_rnnt_ctc_bpe_models.py,sha256=4sWssJJ_zIawvZbsDglL97LcXxaYezrevzRyZ0k5G9s,19962
nemo/collections/multimodal/speech_cv/models/visual_hybrid_rnnt_ctc_models.py,sha256=q9skzg20LVqawq6sLKtQFs7GlED39Tk8UGqEzSZIVOk,29181
nemo/collections/multimodal/speech_cv/models/visual_rnnt_bpe_models.py,sha256=CAEPuu-Is4jrTxxlm-EY39V-fpskDqmt2wCvpMm7XDA,13142
nemo/collections/multimodal/speech_cv/models/visual_rnnt_models.py,sha256=4Uf52Ys9yHcTzxthTqSj7HOzIRy6dsGPJXjfWhpUgfU,39805
nemo/collections/multimodal/speech_cv/modules/__init__.py,sha256=s5Q6arl_qRFDxLfDGa_c6QQzDwxmWAe25ySkI2OsBRQ,1029
nemo/collections/multimodal/speech_cv/modules/linear_projection_video_front_end.py,sha256=JdLjpK2-Jh0WYsN-GaPIvCtjoKWS1OPjGwlvMwPJPN8,5239
nemo/collections/multimodal/speech_cv/modules/resnet_video_front_end.py,sha256=TC_3yaUI1bUh-o2lfsExclI_URFlGYJ9uRFJ5KQH5Mk,3245
nemo/collections/multimodal/speech_cv/modules/video_augment.py,sha256=xqLRdl4Kvudt4kSuFwxwMXc16K-RFl5x9VjuLIa4A4w,7151
nemo/collections/multimodal/speech_cv/modules/video_preprocessing.py,sha256=cMRdJtPog0DmBqsTr9ItSoVWVruQ8l4uJX5vL0GeKBs,4189
nemo/collections/multimodal/speech_cv/parts/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/multimodal/speech_cv/parts/preprocessing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/multimodal/speech_cv/parts/preprocessing/features.py,sha256=h2iPEldijLHJRQ2YWt0utz4j2bLn1Taz6oRTh0MDYU4,2013
nemo/collections/multimodal/speech_cv/parts/submodules/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/multimodal/speech_cv/parts/submodules/conv2d.py,sha256=4OxQ8PlafvQ5rz36md7L5JMsgUMeilmVwIrnGI5Br7k,2101
nemo/collections/multimodal/speech_cv/parts/submodules/global_avg_pool2d.py,sha256=MvJlpGhe3dyOWzlFGa5-0E_NuChbcxCkwnXgKJNUtJo,995
nemo/collections/multimodal/speech_cv/parts/submodules/permute.py,sha256=_CQAMNrq7a4480Ufsqg0LVwuTEJFIjXi4jOOCPhRAGM,966
nemo/collections/multimodal/speech_cv/parts/submodules/resnet.py,sha256=hvSo-CFZRuTQvX08EdpF7PdlL6G9kdjq4YylNyp1C-M,5997
nemo/collections/multimodal/speech_cv/parts/submodules/resnet_block.py,sha256=kpzCdhFVQkW9frhq3qIdQXnaqpD0Ap1U18l5aluA96s,2898
nemo/collections/multimodal/speech_cv/parts/submodules/resnet_bottleneck_block.py,sha256=lw5Pu1EA2q6Xcqfe4BdrRXL7vd-MKcJ7SL8h4s03Bck,3451
nemo/collections/multimodal/speech_llm/__init__.py,sha256=zMedCl3HDbtjK5R9Qu1Ar_ntOYNSK1WnHVIZ_7_x034,678
nemo/collections/multimodal/speech_llm/data/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/multimodal/speech_llm/data/audio_text_dataset.py,sha256=sb7SCds2VNn0ULre26qTCA-B0VMCRgNJsyo99ysXAlQ,51770
nemo/collections/multimodal/speech_llm/data/build_dataset.py,sha256=6-FBe-31MqoqEOTXAj8MxGnHmIAEQi6ERbH_UwM-cXw,10543
nemo/collections/multimodal/speech_llm/data/lhotse_dataset.py,sha256=bufV49vSxdkI-BKzsJzhq5lARPMXNSsiBrnkhG8_OXs,8397
nemo/collections/multimodal/speech_llm/models/__init__.py,sha256=Fx0jiBLXC2U_wANEApJH3srMy8nbRv8MP7CSuJineI4,751
nemo/collections/multimodal/speech_llm/models/modular_models.py,sha256=Ms5hs0QxNopSEeVH64p7QXAg538XiRM8PH74WTcXabU,93515
nemo/collections/multimodal/speech_llm/models/modular_t5_models.py,sha256=1Nphe_2iC7bUS1sduTtZDoXMerHoe21UmXwnxof1eyc,74212
nemo/collections/multimodal/speech_llm/modules/__init__.py,sha256=zd2asrbKURS7PANrOkAr8VrzEY-M1yJ1YnoH5DFzOTU,909
nemo/collections/multimodal/speech_llm/modules/modality_adapters.py,sha256=2bvqn0VzCDICIZ4gXFoP5p53ddrsKomZ2EcjiUjEd7Y,5084
nemo/collections/multimodal/speech_llm/modules/perception_modules.py,sha256=gyVwbJpnc1tPi6NI6PG56-oX9Q8Na6qXMdi26i6DvM4,23019
nemo/collections/multimodal/speech_llm/modules/common/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
nemo/collections/multimodal/speech_llm/modules/common/audio_text_generation_strategy.py,sha256=Jk--JykOQcn7WIP0vwDnfBq2Qjl1btepRo54o9U5hh8,12873
nemo/collections/multimodal/speech_llm/modules/common/audio_text_generation_utils.py,sha256=VLAlUuFm-SCKMJuPkB6moXFKvdrc657u_GBlZ0NnOXg,30225
nemo/collections/multimodal/speech_llm/parts/__init__.py,sha256=N66NVurLMaKqGTPr66XEVVf3gQsHKjgrhPchwxnOfAg,801
nemo/collections/multimodal/speech_llm/parts/mixins/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/multimodal/speech_llm/parts/mixins/adapter_mixin.py,sha256=E1PYpFKUFOsFu4yoqBKaLgP716Jj5DnGLEr4fsj7jNo,4384
nemo/collections/multimodal/speech_llm/parts/utils/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/multimodal/speech_llm/parts/utils/data_utils.py,sha256=AMkDYQRs6k2t__rtMj9y7hxI_kgbmsf3yz61JiRzBzM,22835
nemo/collections/multimodal_autoregressive/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/multimodal_autoregressive/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/multimodal_autoregressive/data/preprocess_coyo_emu3_tokenizer.py,sha256=lQdXQ6uCsUzI6mcp0sacjDDXqLbME_tvvXXTuJk6NGE,9086
nemo/collections/multimodal_autoregressive/data/preprocess_pokemon_blip_cosmos_tokenizer.py,sha256=utEfE0CRoFG0vjXtF2ETPPJ4vrrqmefUK5M4q4vnQ6k,5264
nemo/collections/multimodal_autoregressive/tokenizer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/multimodal_autoregressive/tokenizer/cosmos_multimodal_tokenizer.py,sha256=3dMpsX9T1EMlAk9W8S45EiqQ4MpoPzAj2uJZF7tePug,10369
nemo/collections/multimodal_autoregressive/tokenizer/cosmos_vision_tokens.txt,sha256=367Bj1PzLAAaDOdzZate8DlhCc0gc-iSWHE_cG1ek0k,1560049
nemo/collections/nlp/__init__.py,sha256=JgCp3BCr4jrrnOmrX4axoR9QsnKEaOVKcJlsDh5Izxo,915
nemo/collections/nlp/modules/__init__.py,sha256=dB48X7INAM0pwwF3WyAoccK9Ja_pD8DrgNH9Ha3wdus,1719
nemo/collections/nlp/modules/common/__init__.py,sha256=Brd8lBZF1rXB0R8B2uGi-aDc5Dr8zhAOuKBeDxM_0iM,1762
nemo/collections/nlp/modules/common/bert_module.py,sha256=M89xEWltiwEC-BOPYDDekEhMBTypXsElxQ7hcA35QZA,3648
nemo/collections/nlp/modules/common/chat_css.py,sha256=gwckgaw18VX8U0FYtvVFsQ1EzRW7RXYJWqAD5oITT2k,3271
nemo/collections/nlp/modules/common/chatbot_component.py,sha256=gKAAudU0HuVrwj52cGh4E8v-2gFjdZVQQVHiF8YWxcM,8268
nemo/collections/nlp/modules/common/classifier.py,sha256=W-Q61Z3BdvOgc3l4Ap_uZu63GnbPeJQ8jfTBpySgoLk,2894
nemo/collections/nlp/modules/common/decoder_module.py,sha256=ObtL85CF0IVUpB2m-T_-4VoHSXNrpqJzE0NBfvxO7sU,2099
nemo/collections/nlp/modules/common/encoder_module.py,sha256=kjuZ4cCW3kOE5_fNg-xzrPfFS2-0flcjnIG-qSQ3GHs,1409
nemo/collections/nlp/modules/common/gpt_module.py,sha256=Y618drTcutCRUIFxCu0FbC9fC2ynzciNjJEpjmtVNxc,4151
nemo/collections/nlp/modules/common/lm_utils.py,sha256=uIB_Qm9e4dKvP1W5Jdzc12R-LpKo56UEtoIsC7i7Z00,10316
nemo/collections/nlp/modules/common/megatron_web_server.py,sha256=nwW_l_HB2qbL-6f1Tc6uWrxgIwuOFJfS738csenQVEY,21636
nemo/collections/nlp/modules/common/prompt_encoder.py,sha256=XNANs7SJHvIPP1avgKy3bxhXKDVROM2ARGErs9ihYy0,14063
nemo/collections/nlp/modules/common/prompt_table.py,sha256=U9nLJP71Jn-HBzQHSFSQNeM2D2sI16ICBtEbOUGtdJs,1000
nemo/collections/nlp/modules/common/retro_inference_strategies.py,sha256=sHDMEeWNRLCfT5pT6MugMMe6yraw2gbeZyXamOLbFcU,21925
nemo/collections/nlp/modules/common/sequence_classifier.py,sha256=Mrz2IHWzjc9SQOdjFLTLnKEU0Y4G0_wrLORxMCIbn8A,2950
nemo/collections/nlp/modules/common/sequence_regression.py,sha256=zAb4XVqm3TBOmwUY_7w04xc54lTaW7NAVBObd3KfSm4,2746
nemo/collections/nlp/modules/common/sequence_token_classifier.py,sha256=zQCBB7Idm750nGIt_ieStA2zm-CekoTXgZekEXntXMo,3227
nemo/collections/nlp/modules/common/text_generation_server.py,sha256=D9hal9CcXQgK0OWzZB7_FHRgYaTFYOeSbQc2SuDnblk,18071
nemo/collections/nlp/modules/common/text_generation_strategy.py,sha256=A5HkhV508x8QdYF0ar4q7lj5i5QN7RbocfYbkJJveKA,44465
nemo/collections/nlp/modules/common/text_generation_utils.py,sha256=Q2de3PpQMG7jTSS5wY4HTeoW6PPSGmaJ8zG54xvGe68,53217
nemo/collections/nlp/modules/common/token_classifier.py,sha256=RHhHJfd4-BnTh_PG5nNB4KyJ9dsmOjeRbZMd8TZBrIo,6136
nemo/collections/nlp/modules/common/tokenizer_utils.py,sha256=sx7BI_wWdoi3o6EtE_Qyo5eU3BjCrub17LpuI8acBB0,11531
nemo/collections/nlp/modules/common/huggingface/__init__.py,sha256=sbKzXw7nraIApikb9KmKlh1_m_fWIYs1vUBisL83v7s,1187
nemo/collections/nlp/modules/common/huggingface/albert.py,sha256=W7UqzZ5MNpIcchyQKtPpdU1wSiwnjWwdiXFk6KMx_ic,1256
nemo/collections/nlp/modules/common/huggingface/bert.py,sha256=FTxx0PVfkaIATPdt0iIRZhHR97zgvB3gOBPWWHbEhzA,1258
nemo/collections/nlp/modules/common/huggingface/camembert.py,sha256=HNruAYhtlnjGe95-LcXvBxw59JiXs60YAKZ1ViU2XYY,1237
nemo/collections/nlp/modules/common/huggingface/distilbert.py,sha256=KJKGEv7AJR7EGb6ibFaoIKNEnuCycWFRCVHZip6B8fU,1332
nemo/collections/nlp/modules/common/huggingface/gpt2.py,sha256=tb4N6WIetUcVp71AGYT6o6lG60qTwyIjPW3s0TxPMGo,1887
nemo/collections/nlp/modules/common/huggingface/huggingface_decoder.py,sha256=KislQUMr3r2WRwqO23J4iJpduOccl5yzHXiXwPVuQoY,3387
nemo/collections/nlp/modules/common/huggingface/huggingface_encoder.py,sha256=GCHP-_6ySea_R_VezTAL2Y1TwNwKLEjLv4dk5pBcgKY,4368
nemo/collections/nlp/modules/common/huggingface/huggingface_utils.py,sha256=PierFE7gv3REfUY_4krAuE_nBo7tLdG0qZsOxPtbHqQ,7923
nemo/collections/nlp/modules/common/huggingface/roberta.py,sha256=MEuJ1E_7_6tciac1wYtwf2cd5wa0-jjedzYKJAHk5Ac,1230
nemo/collections/nlp/modules/common/hyena/__init__.py,sha256=F4dbbkjDNIfFjLXmEqD86BwuflJMycx7IbLTzUwl2do,74
nemo/collections/nlp/modules/common/hyena/fftconv_wrapper.py,sha256=hCJs3wCI83cg208PpLSESjqcMyUFSSKEhyqpIbLEl_A,3971
nemo/collections/nlp/modules/common/hyena/hyena.py,sha256=4F2dCmX-p4T1hOq4LDaxNyqfD8au8hz8NxPKCpwV5lg,14383
nemo/collections/nlp/modules/common/hyena/hyena_filter.py,sha256=NLdJyeywb2dEYsiDjsm19rDQryFCD0ayY-2syXjHukM,6490
nemo/collections/nlp/modules/common/hyena/hyena_spec.py,sha256=Wn17il3xkDzdRp2E1Qu5aBVeHs4QkWv3iGpkCzGyq5g,2621
nemo/collections/nlp/modules/common/megatron/__init__.py,sha256=OXuTnHXX8EqigDUNdS19BcDFxBC6WgcITGMzrjvvpDI,692
nemo/collections/nlp/modules/common/megatron/attention.py,sha256=pGDvs4zIYj6Y3B94tcRvKxIM36R3yplXYtPR7QybT_g,49579
nemo/collections/nlp/modules/common/megatron/build_model.py,sha256=CcdgKjBik3BqWB63KmoBwcynFY2TX6-gczfwd_p5_G0,5473
nemo/collections/nlp/modules/common/megatron/clip_grads.py,sha256=JZ4m8r51DZaHaDLPh4hAb5yplZWUx1FNYV1BSyGid34,9895
nemo/collections/nlp/modules/common/megatron/fused_bias_dropout_add.py,sha256=NyLfAY-jb6qCdFHUAn0CKnyYJCCFlpjjHczzdQ74ZUg,2458
nemo/collections/nlp/modules/common/megatron/fused_bias_geglu.py,sha256=a1Iq6RUqYSEVMDlSUYyzZp2rIRLq0IcIixBuiFr8IyU,1887
nemo/collections/nlp/modules/common/megatron/fused_bias_gelu.py,sha256=oupNmj2mET16NQt6Rz5LjuY1CRCvTiyKeDgSJhlJPkk,3165
nemo/collections/nlp/modules/common/megatron/fused_layer_norm.py,sha256=QhWsQndwcRghwaxxbcrQ0nLr7j1_g46rUmI1F9aBVuU,1766
nemo/collections/nlp/modules/common/megatron/fused_softmax.py,sha256=9pkNlw1g96HRpxEk2hnlwOP9hhFNoAAllZ8iCYtRY2s,2895
nemo/collections/nlp/modules/common/megatron/kerple_relative_position_embedding.py,sha256=PtvPFC9hJUWeLu6cu1fnsOo0Za0lGVjZ7HGR51pqRg0,4225
nemo/collections/nlp/modules/common/megatron/language_model.py,sha256=fAppN3jsMxyfAK5bzEezKvE6TTfcQ1xdcytkVz2oIRM,40170
nemo/collections/nlp/modules/common/megatron/layer_norm_1p.py,sha256=Zp4HMtfPbJj1xklxCefCEQbCCJ2W0ZJilygWL9gp9QM,2741
nemo/collections/nlp/modules/common/megatron/layer_type.py,sha256=0NQJJ7Txo6BLQx9xFa3BKStXDPfQ5TPtvMAV4c6mDzo,1171
nemo/collections/nlp/modules/common/megatron/megatron_decoder_module.py,sha256=jDZ_Ms_xBmGvyUs3l8l0pRVELTAiCF51e9gB4B_CJRE,1693
nemo/collections/nlp/modules/common/megatron/megatron_decoders.py,sha256=YMPOz5w0zLWfTqDiYFFj2vPcRYKkQZ3y81yw2HYpvbE,7749
nemo/collections/nlp/modules/common/megatron/megatron_encoder_decoder.py,sha256=XZTrRMUeRrMdsK8mWZaMKMkAl3NTi6rlhEyC2fAhANI,11803
nemo/collections/nlp/modules/common/megatron/megatron_encoder_module.py,sha256=UNecJM7beQ2YXxlyPhHWuapOaWR37jKukRPgPQLQcu4,1542
nemo/collections/nlp/modules/common/megatron/megatron_encoders.py,sha256=fNRG7EN0CyWWLWDV3BT529EQ4qgsVN7p90ZJ2k0s_z8,12024
nemo/collections/nlp/modules/common/megatron/megatron_export.py,sha256=CVJNo1_zdQFNE05ZU4HpBpEddY2Hs6hXktQwyROyG9w,8418
nemo/collections/nlp/modules/common/megatron/megatron_init.py,sha256=l19gS5OZEJkG7zADK2ZYdL_z8J1M4uUWISnar0PLGh8,23947
nemo/collections/nlp/modules/common/megatron/megatron_perceiver_encoders.py,sha256=Ga19HV59fHsmm_8N0__tIHxEoh0s07w23pkwV1E5Ecc,12526
nemo/collections/nlp/modules/common/megatron/megatron_tokens_head_module.py,sha256=mNAlrfgL0v3nyUePJZDAT0QekUuuC61-CeTSfNjQGUc,1533
nemo/collections/nlp/modules/common/megatron/megatron_transformer_decoder.py,sha256=eUbes1h6-dKUnEvpSdK7acykZKW7RS6VUWWyMYQBxGc,10147
nemo/collections/nlp/modules/common/megatron/megatron_transformer_encoder.py,sha256=0RPy-X7SHUFuLkdInDRooIac12HtuWtlQKYFL_-ia_c,17137
nemo/collections/nlp/modules/common/megatron/megatron_utils.py,sha256=k0JKf_QhmP0yEuVlzwGaDFAZRix_swPV6DXg2H6vlfQ,11358
nemo/collections/nlp/modules/common/megatron/mlp.py,sha256=3-wm8ZFsBcFPTIkNbbKlqQ5W5i8kTHn8VBzQ4JK0CM0,16084
nemo/collections/nlp/modules/common/megatron/module.py,sha256=XDYb4R2Qqh2vFy9h4J62ln0Idcr6NHoWtFU4-uCXooI,17768
nemo/collections/nlp/modules/common/megatron/retrieval_token_level_encoder_decoder.py,sha256=YHW0IWH4GndWxqMt4ikqEZoSeJl99NLpNYTLjCyBv4M,20780
nemo/collections/nlp/modules/common/megatron/retrieval_transformer.py,sha256=zvtJzPGE6t_1_erIaBUsmRCtlqHoHYhWrYQ5NTJKy9s,25295
nemo/collections/nlp/modules/common/megatron/token_level_encoder_decoder.py,sha256=IFZZdLI2dtModX8bWDf3pZFq_T3ZSFKLSGezEfuQtj4,62993
nemo/collections/nlp/modules/common/megatron/transformer.py,sha256=rMOQiC82IZOWajLts5Yc0NN44zy7gUYRzPRNGFvmQKQ,87422
nemo/collections/nlp/modules/common/megatron/utils.py,sha256=_GvnoGT8h59yY1mUDzDyWsA_4BzfownxjRiKISWYWT8,19122
nemo/collections/nlp/modules/common/megatron/vocab_parallel_cross_entropy.py,sha256=xkpUYK10JM0KtRFRDdPl1smMHLwUjQ_R-oY11p2O5Cg,6607
nemo/collections/nlp/modules/common/megatron/adapters/__init__.py,sha256=k0ihft_zYgzSoGxuEuLU8gPGbsOTXv08k3Gw6TpDi3k,625
nemo/collections/nlp/modules/common/megatron/adapters/mcore_mixins.py,sha256=MvyLmKOYK_XYatQazB6RSEwp3L5beZaiqfMjufGM9M8,26674
nemo/collections/nlp/modules/common/megatron/adapters/parallel_adapters.py,sha256=TqIJOU7Pfuh8MsLcePv_5aQRKYL6Gwv6cR5FLT-KrUE,42127
nemo/collections/nlp/modules/common/megatron/adapters/qlora.py,sha256=3uffMHnTUZT3CCmGzy75WiGTNdpHKw7cC_qwDeJWAqM,9971
nemo/collections/nlp/modules/common/megatron/hiddens/__init__.py,sha256=gFiEvTcyfe9FwXAmJN5ToatlkwiiNLZZI8Cucbcng_w,876
nemo/collections/nlp/modules/common/megatron/hiddens/megatron_hidden_loss.py,sha256=G150xJZPj_Iq7SPFKRQPHog_AHTUn6G3O-Z-Ah8E55c,7237
nemo/collections/nlp/modules/common/megatron/hiddens/megatron_hidden_transform.py,sha256=sx7FXLLfyOf2yJM5iyGDQND4KhYUHj7A703zQVReg-U,6208
nemo/collections/nlp/modules/common/megatron/hiddens/megatron_hiddens.py,sha256=gtMWF-iBfBPM1i4F-jTyKYt6BTUyLnOou43Ax6PBo0Q,14043
nemo/collections/nlp/modules/common/megatron/mup/__init__.py,sha256=36-_VCWjCaJ-L1Qi8wEeb6-JfMB3y_Ehskrz2qLC1rk,1819
nemo/collections/nlp/modules/common/megatron/mup/infshape.py,sha256=aW4FR0v4yRmnTXP-7VRcEeKN9O_omsxPjxf3rvOhvME,6006
nemo/collections/nlp/modules/common/megatron/mup/init.py,sha256=et-8Arv5JmAWmguUxc0HZBBWfQYPJ5UXXhbi4_EVSMc,10243
nemo/collections/nlp/modules/common/megatron/mup/layer.py,sha256=IevyRO0ekezsvgXJvOzLo0wb4CBAJUipgtKa525PST8,4905
nemo/collections/nlp/modules/common/megatron/mup/optim.py,sha256=2dUf-2aDNzUZt92quKyrOgWz4vAJ_2uhlQptXLTBjh0,8166
nemo/collections/nlp/modules/common/megatron/mup/shape.py,sha256=B5gI8VKhYJhI352sxSBRS91apiqQX1sRRk5X4WK4o84,9576
nemo/collections/nlp/modules/common/megatron/position_embedding/__init__.py,sha256=RapRqdKOKfSQ7lH0nyUhijKF2bKDqAyPueltb7yrzyc,1477
nemo/collections/nlp/modules/common/megatron/position_embedding/alibi_relative_position_embedding.py,sha256=S287iHgmMhuajnfCCrvAC_yrjdncAHCU2HKspMhhc9Y,5546
nemo/collections/nlp/modules/common/megatron/position_embedding/kerple_relative_position_embedding.py,sha256=jX3QojoCkOIE9yVeY5b-_inz8Opu_jPMg848dYY6kPw,4490
nemo/collections/nlp/modules/common/megatron/position_embedding/rotary_position_embedding.py,sha256=ZuILkELuQNekLbW_JInXJ1jpY5Elpt36yqtUkEl_Dj0,3766
nemo/collections/nlp/modules/common/megatron/position_embedding/sandwich_relative_position_embedding.py,sha256=lmz1Jqt-IZdkBn30oO7jODouYkeOARBTBdLe-OrupRs,2979
nemo/collections/nlp/modules/common/megatron/position_embedding/t5_relative_position_embedding.py,sha256=qsTvOYGdJr0y1VkTUAGd8FmxqAhWDjjQxYC-6Cn466c,6289
nemo/collections/nlp/modules/common/megatron/position_embedding/xpos_position_embedding.py,sha256=ZDsXYLmRaAgmNT2vaaz-Or_9z7PGwrZQkA_VXptKcaU,2876
nemo/collections/nlp/modules/common/megatron/retrieval_services/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/collections/nlp/modules/common/megatron/retrieval_services/bert_service.py,sha256=znJPmyKV79yDAbNBD9GCL1cm4i93bQXlSza68G165Hw,4127
nemo/collections/nlp/modules/common/megatron/retrieval_services/combo_retrieval_server.py,sha256=uOAyvRozo1lyGnIZ-DQXFLCPI_3zxHBfccN9RPNTRcc,6994
nemo/collections/nlp/modules/common/megatron/retrieval_services/dynamic_retrieval_server.py,sha256=7s63ZaCnmEXjj0deH7PvaVY7ji_bPpwy_To11wFPc38,8148
nemo/collections/nlp/modules/common/megatron/retrieval_services/retrieval_service.py,sha256=0mcw_R3TD2_f2a-IwDMNndwXHcu6qi7Mp6GDMqYTtGQ,5621
nemo/collections/nlp/modules/common/megatron/retrieval_services/static_retrieval_server.py,sha256=xMN0b-LTSTdO6mZRqgvMfjRGt-Ko5NIe5tyHdts-h2Y,5473
nemo/collections/nlp/modules/common/megatron/retrieval_services/util.py,sha256=fWYQNBkJ1iVESgRNdgaaWUJjr1HPg1vWh8FZjGUk7J0,1607
nemo/collections/nlp/modules/common/transformer/__init__.py,sha256=D8CRYurJ0qsu9jqzJ2XiI7BBKYEZRa0A5Qk9WfcJBgs,1188
nemo/collections/nlp/modules/common/transformer/bridge_encoders.py,sha256=KzaXUbX8TS7CsH6Sxi3Ygwl1AJkaOrVgxSQfm6_wIFc,5302
nemo/collections/nlp/modules/common/transformer/perceiver_encoders.py,sha256=jst2t5oQml9DnjB27smrSJXm_VZEp85bVlgG_l8YYzY,6712
nemo/collections/nlp/modules/common/transformer/reduction_encoders.py,sha256=8O9CpPJ1wIiKx4ZQNKewJZpJ3JFo68BEdZ05TbFH9JU,5048
nemo/collections/nlp/modules/common/transformer/text_generation.py,sha256=BJbNc-aBzPG_mGrbmXlEbZtHmxAjaQPI4pB9ZRUpBJY,6104
nemo/collections/nlp/modules/common/transformer/transformer.py,sha256=VctFX-fGxQZ2hb00KtLbWqyMkwvHavjzI5nPGB43AAo,9618
nemo/collections/nlp/modules/common/transformer/transformer_bottleneck.py,sha256=WAulwGIzqnRPlM9TjVDgRuoupMpvqGI9b3ffOwo9k_g,12665
nemo/collections/nlp/modules/common/transformer/transformer_decoders.py,sha256=_sQhMnaTdm-AbkgDUA3ABWxpkAABm95eM4DeS4StBxU,9236
nemo/collections/nlp/modules/common/transformer/transformer_encoders.py,sha256=aoPt92RDqsEg9jFtK0qvQ-FTkPqWuEY5VecWP8vnxNw,6836
nemo/collections/nlp/modules/common/transformer/transformer_generators.py,sha256=w8oQOx-oo1W8bmd8HdxnvOrVqO0ZtMHzGPBZp0ksW-Q,42624
nemo/collections/nlp/modules/common/transformer/transformer_modules.py,sha256=HIia4eurNo2L7_7IJBwfhAig4brUNisNpZBhNo-kMn4,12242
nemo/collections/nlp/modules/common/transformer/transformer_utils.py,sha256=O53QOZNzAiQ5mkN6yCDEOqWb8eUxX9anOH9rTiErOXQ,8040
nemo/collections/nlp/parts/__init__.py,sha256=zS2a-TZQgNw7bAsLvo0-YQR_bveSC__KFyhq8FPidnU,720
nemo/collections/nlp/parts/megatron_trainer_builder.py,sha256=dBqpRr78RI-FbhCWS3UQfLnC_tV6wz_9Z1icGbblXD0,11734
nemo/collections/nlp/parts/nlp_overrides.py,sha256=026UArNDRszFLnhe0x2tzkGmYLuf_xdf62fIRKJ3OQk,85323
nemo/collections/nlp/parts/peft_config.py,sha256=ojZzqxv_3TdFUSYyP4Nf7A9lkOzq9BAyuQwPmx2cJxw,18077
nemo/collections/nlp/parts/utils_funcs.py,sha256=y6MreaEb_hM4Xs-sbMnzp51wG4RTcz0p_uF4hL71YV4,8391
nemo/collections/speechlm/__init__.py,sha256=0eSe-bRSzO0aAfJXzrQxS7z2QV9ws0LgBVJ0yFh3NvU,1412
nemo/collections/speechlm/api.py,sha256=dkjjlZAL1OZqx2tpx0UV5jznBh-aNfjbT7iLmyGPR1k,17820
nemo/collections/speechlm/data/__init__.py,sha256=zFpkD6r3lHHOzGoFI1e0s-kGcQmN6ARmQfNl340-pAI,697
nemo/collections/speechlm/data/audio_to_text_module.py,sha256=KCnqestc9lLA1Im8B66f3l90-57Z9avBl1QBXl8asKs,19519
nemo/collections/speechlm/data/data_sampler.py,sha256=FMpxZ5I5KFev6w6v7v1zDeNmxwm1D9tL9cqgaQxweT8,2004
nemo/collections/speechlm/data/text_processing.py,sha256=IE1WzizK8JfX-ytSrDCntLhrxIqUgpatx7G0WGZztfs,6483
nemo/collections/speechlm/data/dataset/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/speechlm/data/dataset/audio_text_dataset.py,sha256=S54JfqLoEveLldVOfkQLtLrcTH4aGbsd8FX1RPD_7fI,45134
nemo/collections/speechlm/data/dataset/audio_text_lhotse_dataset.py,sha256=IcES2lz1hPC7AgSkiFLXEI5AaMINyPFdWEw22u1Jfpw,12364
nemo/collections/speechlm/data/dataset/data_utils.py,sha256=Z_usoQr4hkIqaDOWKODLZakOkVcnSYcDqdPIR6zlWZs,3538
nemo/collections/speechlm/models/__init__.py,sha256=mU1gWUk3B2cF7GsvtIKu8rtI5b3SKGWzmY2MVgXTuSw,803
nemo/collections/speechlm/models/base.py,sha256=TWCRclqN0fi7Weaknuon1KE5WUQtoJpOrIN1WnVVW0k,22019
nemo/collections/speechlm/models/hf_auto_model_for_speech_seq2seq.py,sha256=zm5wmgg3TMbQlE7tOiJ--_AEGuikvfTsc5s3uKkU-Cg,6282
nemo/collections/speechlm/models/speech_to_text_llm_model.py,sha256=NFn7ofXNrcpwWyybrq9TcFFuUBJ3iKR9Nl5nfsX4s-4,62083
nemo/collections/speechlm/modules/__init__.py,sha256=_QRZM0Yze8j7ryF0mYfehxLRxsYEr8hC0VxgcpyzXB0,769
nemo/collections/speechlm/modules/asr_module.py,sha256=1fOsFJzo0SBwGk1Y1g7jJ_GwAaPrnL7uJZpihTuM89M,10360
nemo/collections/speechlm/modules/modality_adapter.py,sha256=sYwdYZbxT7eU8vfTmsYsWGX-s_EJqFV4i69QkQaz5h8,2838
nemo/collections/speechlm/recipes/__init__.py,sha256=OTLvlkbahDJGXaT8nYlsjT1K4jzk_4aUCd0i773Q0Ms,766
nemo/collections/speechlm/recipes/pipeline.py,sha256=JefNDni3lzUcqWK9GYMGjfTbGKtEY71VyhKiVHl21Ko,7874
nemo/collections/speechlm/recipes/optim/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/speechlm/recipes/optim/adam.py,sha256=4XVhPXTGCHEvtj86cSqsHk_4hdM4d3-U8wbh9vfowSg,1073
nemo/collections/speechlm/strategies/__init__.py,sha256=u9awYamLlzypOhlP0EpOI8vnBklD7mK0ePx_AgKp1Uw,703
nemo/collections/speechlm/strategies/megatron_strategy.py,sha256=XCPDGGmE_j6cCPfTasT91a7cjwRh_Mtfi_D4unYoPuI,1540
nemo/collections/speechlm/utils/__init__.py,sha256=ptRIoVtb47Dxp4-7vtym2DML1I20XacO76MwJh4CpyE,891
nemo/collections/speechlm/utils/hydra_utils.py,sha256=tHAeeEn2IXSIGvD4Z8EKMQysFOTddk6pZ1ZTnZLnQMU,1601
nemo/collections/speechlm/utils/io.py,sha256=mqLzG6mbfWAV4kTMLNGbJOEQkcTMclxYgA95BXal938,6661
nemo/collections/speechlm/utils/model_transform.py,sha256=ilDgHSBwriDLpgNA8sdc78mN3unbE1vAWub1SRvF_cY,7704
nemo/collections/speechlm/utils/resume.py,sha256=prfOWzKASfTaTpCD_qKcoGgZ0c_rY6OBAmaXHxcZ6uw,2970
nemo/collections/speechlm/utils/text_generation/__init__.py,sha256=_MJ66WhZwvbyyNmy5fc78ISH1X9_KPKO77MQX-0vzmo,908
nemo/collections/speechlm/utils/text_generation/audio_text_generation_strategy.py,sha256=jXSCnYr-sM9eLaBFsIi3ygtW0T9A5nDEE8gVtDiF6zs,19835
nemo/collections/speechlm/utils/text_generation/audio_text_generation_utils.py,sha256=z8c70Z7UkMAmnpbQaOyzEISe8aPV5O03Fhdy0ZJI0-g,31072
nemo/collections/speechlm2/__init__.py,sha256=-pC08uDCLBQ48FOxMVTznQ460yozrjqMjEX9dEGRA3Y,885
nemo/collections/speechlm2/data/__init__.py,sha256=a3CFgMUShchQeUiMYgCFaFKN8hZbmzvhK5ovpThOS1M,801
nemo/collections/speechlm2/data/datamodule.py,sha256=MoXOfacqvlkZuelQvoWGKSqmlNTvFsGShdfs8XONjQ8,6410
nemo/collections/speechlm2/data/s2s_dataset.py,sha256=laknTu6pk9f11BdmlWF2k-tEd5H3VFPjkxVCG55rBxo,9255
nemo/collections/speechlm2/data/salm_dataset.py,sha256=A3JjWAgeugohKfVUMQmInbcWgK8tSdW7IWPCjhLP0Kw,5999
nemo/collections/speechlm2/data/utils.py,sha256=Gu7284Un4aXbvLeL1Ic64Ks0A-BwQWk-uzaJW9-XNZ0,979
nemo/collections/speechlm2/models/__init__.py,sha256=PQZVGaX6idS1xscOri1MTju2N3NKi2RqBIl__0r07CM,835
nemo/collections/speechlm2/models/duplex_s2s_model.py,sha256=u8wos4Ub4l0F5rAJ1eGWwB0R_P2rFL7TMzFC_djAjDI,27771
nemo/collections/speechlm2/models/duplex_s2s_speech_decoder_model.py,sha256=MSKVkyHvk9WLhSehvIqTMdLaH5clMjWB4KE1d7s_hkg,24724
nemo/collections/speechlm2/models/salm.py,sha256=uiS9xnaHymG9F3YYQ-7Z2UdY8w-cczKQZSHbhgFn4Rg,31919
nemo/collections/speechlm2/modules/__init__.py,sha256=KWI49DU35_ut8IGEB_ytzmbw6XUBrd03zeNxOqGyhRI,792
nemo/collections/speechlm2/modules/perception.py,sha256=B1GavinRX9qwd7VbNVAvuJawmir0FHEgfyXI2t3cQOU,5930
nemo/collections/speechlm2/modules/speech_generation.py,sha256=0zOvTSfp3-1IFJdKoc2Pk7hv69CfwzJdQDIxPSclqac,10417
nemo/collections/speechlm2/parts/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/speechlm2/parts/hf_hub.py,sha256=JImPtXTqcTUVVFvFl9w8c1AuXHsRPeOiZPabk29sVsI,5340
nemo/collections/speechlm2/parts/lora.py,sha256=Vrw9s8AtOvSMZ2n3TyHFA0NAyMUwfntFjpPMQWQXKYQ,1436
nemo/collections/speechlm2/parts/nsight.py,sha256=a1veHbkm2uzQJaTfU89WOPfpNOxh_kDvF5xVG-Q7UsA,2453
nemo/collections/speechlm2/parts/optim_setup.py,sha256=C4ZGZzxbK87FgrbKfdFO38g-s7R6WnIl4SINo5WN9qE,5827
nemo/collections/speechlm2/parts/precision.py,sha256=6b9EoAL_2eXswGK5MQTHQq3NBQoBXm5vO-ILLmWPGJ8,1341
nemo/collections/speechlm2/parts/pretrained.py,sha256=9KJ5k6Cm7AGiosNO8BfHM6ZfZPFkfaRHt4feGdzAmJo,4269
nemo/collections/speechlm2/parts/metrics/__init__.py,sha256=D0OBMXLsYXedE8aJFRxrZXFOi0Fj13AdvsVMEErhBUw,737
nemo/collections/speechlm2/parts/metrics/asr_bleu.py,sha256=odyccPpeo7THAtU5CRSI2yf509YBu2ylRA5-RmAontI,3965
nemo/collections/speechlm2/parts/metrics/bleu.py,sha256=N1jiR66XnJOlYHRNo_8TKmdNK9mkAsT6TsIYw_hqfuo,2296
nemo/collections/speechlm2/parts/metrics/wer.py,sha256=NnAuWabdePb_5WKTeusz8uFZTcxuNxe2j8UQyPeEfMM,2247
nemo/collections/tts/__init__.py,sha256=6rgGfUcJxfa71h3ZJLxsC4sGoudzAluz5UGmTVIocKE,921
nemo/collections/tts/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo/collections/tts/data/dataset.py,sha256=Aef8Ya3kH0fSWvdOk_amKyTrEXYmLviJlf3STzgJ1C8,75240
nemo/collections/tts/data/text_to_speech_dataset.py,sha256=rVDbILy1qvVYZHcvcH42jiEbWH_5ivRq-B2fm390gB8,36211
nemo/collections/tts/data/vocoder_dataset.py,sha256=jMUPS-Otj_E9ac5KA_nqZGE7jgvLgOFw2LFKYvgQzeg,17758
nemo/collections/tts/g2p/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo/collections/tts/g2p/modules.py,sha256=_565sS_7rBtp_Frm5RAPISojaM8SxNroIW_Aahy1H1o,1156
nemo/collections/tts/g2p/utils.py,sha256=I3q_NrJCCGzBDDnRiVH7fm2MHTUAdVaZFcJP_m8CiKo,5705
nemo/collections/tts/g2p/data/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo/collections/tts/g2p/data/ctc.py,sha256=cOf24JVkcvyNc_1tiyJ-ahJHhq0DEjitmEulV8YltcU,7162
nemo/collections/tts/g2p/data/heteronym_classification.py,sha256=i66cbuQzpG5Xrz9GaJ1w6s77n-bhbziGWSQi686tRmg,10884
nemo/collections/tts/g2p/data/t5.py,sha256=ZUc0iJ4hLGTxoWWPRK7aMd3rccgWSx-Up4tum03rgFE,5668
nemo/collections/tts/g2p/models/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo/collections/tts/g2p/models/base.py,sha256=-0hTo3XkE2NR7caQYQ8Olbp_hLQ9uwRLsC2ymqaCr4M,2975
nemo/collections/tts/g2p/models/ctc.py,sha256=INH_25esKOoYHGHwchWPFdgfgQuWdY2zTZoMrWqWGhQ,20371
nemo/collections/tts/g2p/models/en_us_arpabet.py,sha256=JFvX7Ul1CecUvlIejE445PGfXzMADyPjZM8Kv5W78EE,9997
nemo/collections/tts/g2p/models/heteronym_classification.py,sha256=T0Mpt0LOd_wDXzLe2M_k1oxNiO6MQtO2yYFJ7B8n7mU,17862
nemo/collections/tts/g2p/models/i18n_ipa.py,sha256=RthPyERg0MVDg79NFE9Cb2tedF5AV41QFlr8FG8nV_c,25212
nemo/collections/tts/g2p/models/ja_jp_ipa.py,sha256=7xK-7INtrCmMF75a7sOvh5H_g8HP2hsZSFhjc_zkk8g,6989
nemo/collections/tts/g2p/models/t5.py,sha256=YwOVOhUOizMjBPNe6DjfovvmOm3sdhNXCCgHYR153Qg,12852
nemo/collections/tts/g2p/models/zh_cn_pinyin.py,sha256=w8kZms9CA2crs2_fvI1qT-LxsE7fjkQfoaUxAb1ioRg,11260
nemo/collections/tts/losses/__init__.py,sha256=IB3mqociLAay1_gy73aEJLfrcdjEyANXCZD23V2ilaQ,708
nemo/collections/tts/losses/aligner_loss.py,sha256=wx8xMpr5sIsxttbbp_SO47eK29pD_0Grd8KtEuuduCg,3497
nemo/collections/tts/losses/audio_codec_loss.py,sha256=tKNTnuTpZ-lihBN5bQcGBncSRo3kWsSoodOtGzQKSC8,16942
nemo/collections/tts/losses/fastpitchloss.py,sha256=C26z_1SHsh9AfOluyCY9pfThjPfdZsWpWy2cG5jiJxY,6518
nemo/collections/tts/losses/hifigan_losses.py,sha256=xRKKpPNRSiF3XSGGG9HsVa57laQFOcRi6TcJjp0oRNE,4379
nemo/collections/tts/losses/radttsloss.py,sha256=RlrTIiKu28vpW0LvyTlokBvrB3J-OjWNxeEFO5f_Jjw,6946
nemo/collections/tts/losses/spectrogram_enhancer_losses.py,sha256=UCwNXGoor8xqqkUsPROXhwhcpOGz1ePDc3Sv-X4wpWE,3984
nemo/collections/tts/losses/stftlosses.py,sha256=LHLJK4WsTJYPBOGz5Uglxq8gbGkJFQWSnn8RqWb2UdU,9888
nemo/collections/tts/losses/tacotron2loss.py,sha256=6lF8KSaye1E7n1LN5ubzbMvRmFri3kZEnKOqxRWq_zg,3784
nemo/collections/tts/losses/vits_losses.py,sha256=dr-ezxp5YCp19WtX3ijHhA_7bNHBwlZBRUZ6D-w0E20,5709
nemo/collections/tts/losses/waveglowloss.py,sha256=OeEmVa7hr31Ootr5LIjjHOarURTDYveU_45N44z1vBI,1991
nemo/collections/tts/metrics/__init__.py,sha256=8_4WTpu-11n_5ngT-XJBVXcC_btokpVCUqkICw4hqKM,669
nemo/collections/tts/metrics/classification_report.py,sha256=AO0iXKoTa7-5V9GwRYt5jXfoC9zfSQD2BAW7V5ZQ1d8,7806
nemo/collections/tts/metrics/score_metrics.py,sha256=ueJL08ejnvd0lBwRGYJfi-IoOl-Nu2vMWIIfJ751Xbs,2579
nemo/collections/tts/models/__init__.py,sha256=Nky7hySTT4av0hEB7FG8gnNYP1P0iIOYkOwpsYUO7dY,2143
nemo/collections/tts/models/aligner.py,sha256=Qk3o8P4vKBwcAQebYEIQI6wf7eZmmi94IcKfqOxrfH0,10454
nemo/collections/tts/models/audio_codec.py,sha256=fP27dZ2K_t6C416yeezI_FHBkj-Easxz_1jyrhe5cbY,36317
nemo/collections/tts/models/base.py,sha256=nZVPbwDbHxWgUtLyIGbXaFKM6lejRUIqJLXEBuAWXIM,15241
nemo/collections/tts/models/fastpitch.py,sha256=izhBJFdxnxaTPzNXB2sPoll9CnPg3hGNp70X9YW5jYI,40218
nemo/collections/tts/models/fastpitch_ssl.py,sha256=n25gnR7plqqiyCH8KukJp2GgI9N4wuXtYRPZ6Yrz-t0,16718
nemo/collections/tts/models/hifigan.py,sha256=BRUR84b10dmZUzhgrgQ0nx6ReJB3nPfjWatkc1Ct3HE,25933
nemo/collections/tts/models/magpietts.py,sha256=DQTswatKuVuTTswH3t6sfMz__G7Qc0InaYQW6mdBWb4,78389
nemo/collections/tts/models/mixer_tts.py,sha256=rakSYWOFaz7UouvctgrnyZGd3fgZ3pTg__GetbUQY5E,30955
nemo/collections/tts/models/radtts.py,sha256=FXqjefv_brdyK437btGkpVYF2iH2WDZIfkEgQXy25U8,19712
nemo/collections/tts/models/spectrogram_enhancer.py,sha256=4nXudpCpHdZAPnhCtGgvCqCvf_P09hXqQlGd_RYv7N0,15280
nemo/collections/tts/models/ssl_tts.py,sha256=rocajhd5r_Li11Pm60XNlFFVh2vbuH_HVHPeJGHEGyA,23295
nemo/collections/tts/models/tacotron2.py,sha256=FCP1kWpJu8srMeM3FSS2hmGbr-WyKmx3moOR01BdlDc,16865
nemo/collections/tts/models/two_stages.py,sha256=3x5JG071Xz0q7BZut1F9hQ0ajyCtFwuWH0z_SZqJfu0,6502
nemo/collections/tts/models/univnet.py,sha256=R4T4uyGKJvcnm65W5Pz3vIQY3BJVJJy7Vvsq4lW9C38,17538
nemo/collections/tts/models/vits.py,sha256=b_UqKa3o7vT1qNeVrY3lY186IGFzfnAsZHdzExI4GKQ,16363
nemo/collections/tts/models/waveglow.py,sha256=wDK_h3XaCwhAd-TnrwCcLsz--ssEESJydK6lCUO8GeI,10327
nemo/collections/tts/models/language_modeling/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/tts/models/language_modeling/nlp_model.py,sha256=XnVUCuBJv7tPlYR93tHuXH6wdaKtEHDMfYAw7cdsKTE,24085
nemo/collections/tts/modules/__init__.py,sha256=Ja9rBaDZ4rkTXhuZWkNM4swQhKcFjScE2msIf8Jz0r8,946
nemo/collections/tts/modules/adapters.py,sha256=p4IWPBujW8TLEnqMCOfe57-FNwSM41e8YwpBgITRuz0,6402
nemo/collections/tts/modules/aligner.py,sha256=MhwEGTbiUSDOgLh_Gj8ixaIrcEXknKJ3rwFCeyO4or4,9625
nemo/collections/tts/modules/attribute_prediction_model.py,sha256=xJg-AdQ9ji68iUHLDZMvp1909MX26CoIqvZdmF8qCT8,4008
nemo/collections/tts/modules/audio_codec_modules.py,sha256=gFuU-QxjZgDzm2HkhNowx93G_dxncYstQwONECOxErM,86789
nemo/collections/tts/modules/common.py,sha256=Bv1V1nlEQMAHKt7MIMBkn98eFQRMlIhd1YwiyIgz_-E,29847
nemo/collections/tts/modules/encodec_modules.py,sha256=zHmNH45cfVsWwJwTLbD6OCJaQgIPyumMXiK8WwceuBI,35952
nemo/collections/tts/modules/fastpitch.py,sha256=OBZ3zAIImUmQLrzJjmC8eLhiiRnQvz85I6h2wQFLcDQ,22557
nemo/collections/tts/modules/hifigan_modules.py,sha256=mLC1eH0i_Zhk3-DuSB8R63-D2NaLGrV4cQpoevOntKU,15909
nemo/collections/tts/modules/mixer_tts.py,sha256=09UceKTH8ZIlmsyajhWswywBhPj6sIZXsntXggodeYo,8382
nemo/collections/tts/modules/radtts.py,sha256=_fsioAsaeeXJElf4YCSRWGKieRUt27Gxig6v399oGbM,32609
nemo/collections/tts/modules/spectrogram_enhancer.py,sha256=6BgUdl_ukyiERKKsX3mCnCqKlox3RJENbeKZ_Zg74mk,13219
nemo/collections/tts/modules/ssl_tts.py,sha256=dE3PwagyvVKovvd1LgkPzGIFcedXpf6wqJVMe2wmudI,1341
nemo/collections/tts/modules/submodules.py,sha256=ZoLdxTSrqn1EAyg5B8Jdz3pxZc5d3SKET6XuhiTFuGI,28391
nemo/collections/tts/modules/tacotron2.py,sha256=xQ5baF4MljEUq80I3nR50A3v9xWQDuDnKK-Kql7b-nk,18313
nemo/collections/tts/modules/transformer.py,sha256=QIOwhbJGqoykSpPL_Njt3dFRqSMfX_KCRrVma-lV4h8,11917
nemo/collections/tts/modules/transformer_2501.py,sha256=ItxeTD2J5kkK27r8Laii1JAvNgL6ZO1a-srpbyLHz7A,28861
nemo/collections/tts/modules/univnet_modules.py,sha256=RLAu4VvRpS-rpXAiE3bMI7VQb9EPz0dQLQt2_9dx9Lc,23415
nemo/collections/tts/modules/vits_modules.py,sha256=gg2zJ49ki5Ljpzor9yJg9L79BhwdF8TcL_jrrvGLVj4,46093
nemo/collections/tts/modules/waveglow.py,sha256=d-XAdkQCcjae2DPO06OU-qRlcStuhlLcmrjgNCu5qB4,10991
nemo/collections/tts/modules/monotonic_align/__init__.py,sha256=i_SVdyHp44PK7__fX_iMQLIvPFG0kHeGPhotmZjnQSg,1680
nemo/collections/tts/modules/monotonic_align/numba_core.py,sha256=2vkHzUCpgvuQLXxUY_5zOE7Ugd-sbNPDTM9dL7vWqew,2543
nemo/collections/tts/parts/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo/collections/tts/parts/mixins/__init__.py,sha256=CRse59lvTHdl_lrjjRm0peWV0q5M5bWxOhTuu45wfqg,722
nemo/collections/tts/parts/mixins/fastpitch_adapter_mixins.py,sha256=6gaT4wyJy9LhoNsgYQnj9nQKw9K4tdfu4kV2tnaBS4A,18242
nemo/collections/tts/parts/preprocessing/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo/collections/tts/parts/preprocessing/audio_trimming.py,sha256=WpY1bBPPcJ0ejqWV_KBhuYITn8pMFzLXKL6zrtlStpg,13980
nemo/collections/tts/parts/preprocessing/feature_processors.py,sha256=nJd-u4OJ8NKatzFXdlOvkKB4AwNfquP315GrQKbVIDw,7614
nemo/collections/tts/parts/preprocessing/features.py,sha256=thL05KSybwk1OEYLw1fQHCZa78sScl85kHsp9TFrOuk,21423
nemo/collections/tts/parts/utils/__init__.py,sha256=uHghgNj6pLS-C0ZpmLUC1OrqB8pZ4iEEHHYaRDvuri4,623
nemo/collections/tts/parts/utils/callbacks.py,sha256=2i0y0YWr0W-i1qvRiFqEzGLQHCGuCrSYPuhxW7KdLXk,27671
nemo/collections/tts/parts/utils/distributed.py,sha256=Tt9mBl0o27S8Higam0Y3-JSP-Mzko2HRaMCzN9LQePs,2582
nemo/collections/tts/parts/utils/helpers.py,sha256=2F_hn3a6qeSg7Y_23aEiL0R0PH6hyygPD1dpwL5oNT0,32470
nemo/collections/tts/parts/utils/splines.py,sha256=0hUmm_qIDfwUwlRQdTvWAt3-_HmSK4WReV7sxk2tkx0,19732
nemo/collections/tts/parts/utils/tts_dataset_utils.py,sha256=8bJMANjkgWQQBerxtFQdoyCSNFKEht2azUDlotOveXU,12116
nemo/collections/tts/torch/__init__.py,sha256=EqFAHHjK7kJqR_FV8vBLddBJWhbVD8pREEfm8C5nSEE,623
nemo/collections/tts/torch/g2ps.py,sha256=79vRMveitFUxy5DT2aiUZs4qO3szciW4sX-4Y7fPFwk,1155
nemo/collections/tts/torch/tts_data_types.py,sha256=aPTMOftPoK7WjLyFD99LVZuFR1WMNmf5AAq1aAnnLx8,1810
nemo/collections/tts/torch/tts_tokenizers.py,sha256=-ZmmBj7aT1m62uix-uvCgB3NCA_uiFbsyDjpXluPClc,1090
nemo/collections/vision/__init__.py,sha256=0uqxBYMWqOVD3tbZsz1iL7ok9yethrGQLsfNNTALwM8,901
nemo/collections/vision/data/__init__.py,sha256=Vgd9K3Anjug55M43V_v8tfW_cPxXYnaOYBJ66gyaQiQ,610
nemo/collections/vision/data/imagenet_classnames.py,sha256=nPZUSEhIG2OpQniToyr5yO_rrPxT6reMjW7D4iql_KY,19451
nemo/collections/vision/data/megatron/__init__.py,sha256=Vgd9K3Anjug55M43V_v8tfW_cPxXYnaOYBJ66gyaQiQ,610
nemo/collections/vision/data/megatron/autoaugment.py,sha256=eZZ868Yqc7OBdWj-JCb81fvIJCAuo1HZ8nlbDuv8xqY,12067
nemo/collections/vision/data/megatron/data_samplers.py,sha256=xVu_s_eiQZiQkRvnOc7XHHNYFpE5pK29QpAtU2jTs5A,3898
nemo/collections/vision/data/megatron/image_folder.py,sha256=nlgEF0M4xHFuj9piE-D1wnqJ2ADSEWfEbRuPJi2WoeY,11996
nemo/collections/vision/data/megatron/vit_dataset.py,sha256=tdcc9PonaGO9DQMQtSFNNZkNiOlYkSI42qsFbslwkj0,10531
nemo/collections/vlm/__init__.py,sha256=jMv3Fe1gzVGJi__yTHzHhPeH_Gy3dsOnHmxuDksXHC8,5840
nemo/collections/vlm/api.py,sha256=UuE_VHkNmCFMV4Uns4vX36EYgMTi0Nac-UFbZwn1BVA,5120
nemo/collections/vlm/layer_specs.py,sha256=dh5FWy0Ci_dJf-YtfokZDrgW36LtsR1DY6DjoB_rI0I,4736
nemo/collections/vlm/clip/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/clip/data/__init__.py,sha256=mUNdixPQ7L1oEcy9vklFJY28ijpS64ZdX4T9O1o4tM4,729
nemo/collections/vlm/clip/data/clip_data_module.py,sha256=UHBPZurTPH1kFypeZ6kct-NBIghXVhuKwg0gmKDD0UQ,4259
nemo/collections/vlm/clip/data/mock.py,sha256=mfalPrdGdGL-VcZpwbQQiKRAk_3YcZS_lmajX_Gz9Ds,8916
nemo/collections/vlm/clip/loss/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/clip/loss/clip_loss.py,sha256=Ms-YKzwEnjejRyCs7ZY1RPYkBozIEjirfVyAJ_Gs9yo,7931
nemo/collections/vlm/clip/model/__init__.py,sha256=M7gbkEwtgjQEM3j74FFZTPCLCDDT2lQQzzT6GB-VhBE,1077
nemo/collections/vlm/clip/model/base.py,sha256=jJ9ry0YeCtTtq_eILLeGW4Ws8HE0qQl_BsAu3PAb2TY,19088
nemo/collections/vlm/clip/model/clip.py,sha256=xZvkzl0ajj6xLgAjo9LHpRDeTp1B1ocGSQwh2nsdCt4,18502
nemo/collections/vlm/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/data/data_module.py,sha256=xV-HjpH8SP5hTqGzvkvLgzY52lcPx3A-6Qwh2VdT9wA,15291
nemo/collections/vlm/data/task_encoder.py,sha256=4_bp0xL9_51Oh9E6bs828DHPOp4TOomlbtv1ML8D3wY,20204
nemo/collections/vlm/data/utils.py,sha256=QwvxG4fwdSRjWhYL0XMA1UpxF6qQMlR1VTygCiGaue8,6365
nemo/collections/vlm/gemma3vl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/gemma3vl/data/__init__.py,sha256=DicNZ7BO-fJH5rfXqP0mZs1YGD8-4WN_b8xFw7nqBGs,731
nemo/collections/vlm/gemma3vl/data/mock.py,sha256=us3Ne1-lkNP8neBLCTSdd8Bb-rPAV-NpJz4KGLl9NtM,8100
nemo/collections/vlm/gemma3vl/data/task_encoder.py,sha256=wrr3Yv1SaTluu_Rp27KNLn8QbP0sRON_5X6rwn_89hI,9175
nemo/collections/vlm/gemma3vl/model/__init__.py,sha256=sXeCiYkr_fA5KB7i8MXkQkSxiIiE_qvzEMTKiucUWqM,1118
nemo/collections/vlm/gemma3vl/model/base.py,sha256=kQTSX-fAUOnXOfEFx7Xdd0MtWNnnaujw-52_JyfUm3Q,26431
nemo/collections/vlm/gemma3vl/model/gemma3vl.py,sha256=OrzWhgQqjaCBrVCkZmiNlv0BdR1-4bQIITD577m-2t8,21850
nemo/collections/vlm/gemma3vl/model/vision.py,sha256=nPRmGDx__rsFvg6-9NZxL_PESc0xGNi99QHGNdCiEPg,3511
nemo/collections/vlm/hf/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/hf/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/hf/data/automodel_datasets.py,sha256=PMhjVTvKLji3AZ_r7_cu8149H8yo8sWsdkexCzqqg64,7107
nemo/collections/vlm/hf/data/hf_dataset.py,sha256=0X6WeYcUKkiVLG_vJLqrAF9hfWi4zXAEGSgNSqjlarg,12580
nemo/collections/vlm/hf/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/hf/model/hf_auto_model_for_image_text_to_text.py,sha256=fPH4wJW5AYrF49nh38N-SxqvBDCdeiK_o61oKo1ATnA,11917
nemo/collections/vlm/inference/__init__.py,sha256=sUxzKf93QonSI41hoR1Wmm9ziTCWa6sxWKlQA5yIpog,720
nemo/collections/vlm/inference/base.py,sha256=PNQFxa27YRjrRH947wMMARjC9pd5I0qShcmfZaYRR-U,5535
nemo/collections/vlm/inference/llava_inference_wrapper.py,sha256=5hrfXUfGeyZv_A3J5N31ldC_lZfyGfmh5FhVn0LIOTc,3973
nemo/collections/vlm/inference/mllama_inference_wrapper.py,sha256=9lqCrMiyfq1oHWk6t1MTn9I-KHkE3C12TLUsIDguzVI,5726
nemo/collections/vlm/inference/vlm_engine.py,sha256=sVHRVBqHbaSCmGmj9qpbRDkJlsOzlhKagIsh0CIyA_k,2112
nemo/collections/vlm/inference/vlm_inference_controller.py,sha256=-fIAeaUR5IX5GT3kiO5CeDt_XKiUV_N9U-dm7GHXMxg,3451
nemo/collections/vlm/llama4/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/vlm/llama4/data/__init__.py,sha256=UV-A8bxY7fxLfCjU5iTYN5rcO17K63FPbXNCkeV8fkw,743
nemo/collections/vlm/llama4/data/mock.py,sha256=7wsjqhqctu_GJY9gy4jpTfGKwtUNGKPf265tBRyfERc,19130
nemo/collections/vlm/llama4/data/task_encoder.py,sha256=HUh83PVJFh5_hUXYOIB0SJLr2DKOVM-rznhRXgFoOKA,10261
nemo/collections/vlm/llama4/model/__init__.py,sha256=NVzEmeQhr33NGGaBYs_GTg-TgkVqEAgU8wYE_BWXMLQ,610
nemo/collections/vlm/llama4/model/base.py,sha256=OljUAwGM46ZNYZyB-NJmw5rrhS3TnVj0J0dmzUPXr1o,16317
nemo/collections/vlm/llama4/model/llama4_omni.py,sha256=29ldrTNsKxfDmANdHOuMCIqNt8HqnfdWnXo5oLPvLkk,38314
nemo/collections/vlm/llama4/model/vision.py,sha256=Y8qdBFz4sfVF6Aqg9pqYDO1efMvYe9mUvjzlkmjiwIs,20730
nemo/collections/vlm/llava_next/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/vlm/llava_next/data/__init__.py,sha256=GutwLQmAThNFlqwjKnNIo3f-tSEWByMiZqESHDUaHmM,863
nemo/collections/vlm/llava_next/data/interleaved_sample_encoder.py,sha256=wqaVxhL-typm5X1Rw7r7dYEggeTXBANnL5MAsG553WA,10757
nemo/collections/vlm/llava_next/data/mock.py,sha256=gGq3aExLLWaCSzJMvaM4qpwzePZyw7DemB5eokp6ZZY,12123
nemo/collections/vlm/llava_next/data/sample.py,sha256=MFS7-Cg3sVMyJ2n-iC_W0MYRliP5sEei43HagYdLCKo,3248
nemo/collections/vlm/llava_next/data/task_encoder.py,sha256=Xq7N-Mi4ufN6djK8HUcaYEq2zrtYxqZKtH5K8hyXoYU,12672
nemo/collections/vlm/llava_next/data/utils.py,sha256=aDu6CufmCQhF7-qH_eV8bT-Re-ksFTRXm0r39fEBGZE,3812
nemo/collections/vlm/llava_next/data/vqa_sample_encoder.py,sha256=MzIiOT3oJcn3INHr00cl4L3WYauNhO1WpGi29zjG0hU,5778
nemo/collections/vlm/llava_next/model/__init__.py,sha256=wEKoLsKiB6AvW_udArNp8_xtEEYTCmt8r3h9y97Hzxg,909
nemo/collections/vlm/llava_next/model/base.py,sha256=U_AfbzpDSAXgUm6KhikaHKVKc8jSAvRBGCo0ef1G8HQ,17612
nemo/collections/vlm/llava_next/model/llava_next.py,sha256=G0HElioNf9m0P7Sl0LGXn1zQ9Nyl0FDHgooSYqlDJfs,27277
nemo/collections/vlm/llava_next/model/utils.py,sha256=hlcYlZOI84NE5poDjWK-r0h9XqMP69vvZHqa7cSkjZE,11860
nemo/collections/vlm/mllama/__init__.py,sha256=2zlJd4hZgFM1PdXL8B9Z-dcvTxac9z8VH4p698V0z0s,733
nemo/collections/vlm/mllama/data/__init__.py,sha256=7J0cLyjVmq2aClYWw6Agf5CIKfqB7KLSxoOzhskyoo0,857
nemo/collections/vlm/mllama/data/mock.py,sha256=N6N7x64UMVfd-Bt9bTivdkyn2gYY6WEiXMwfa_k_PxI,8888
nemo/collections/vlm/mllama/data/preloaded.py,sha256=N7yJ0OwmEOC2R9hPJVsLw3gJmrvvbeKsmypVhPwOM1w,13119
nemo/collections/vlm/mllama/data/sample_encoder.py,sha256=N0W9mbsvaBAttFhZb9OCtTvq4hBnnJdL6SxNdZtlqIM,7364
nemo/collections/vlm/mllama/data/task_encoder.py,sha256=qOHhBRPpgRpQHL_BZ2vUjKkonIp8Q4zPJqgXAqmqOKo,5101
nemo/collections/vlm/mllama/model/__init__.py,sha256=PE_5a7kUncqFeTYQBTNn8hkWrCmydldvfIxPnS_mSUo,768
nemo/collections/vlm/mllama/model/base.py,sha256=bj6QSzbuOUpPWhAG74gjTRzEFhNdvdIXtkdc9tzpNpw,25170
nemo/collections/vlm/mllama/model/language.py,sha256=M6xNSHw7_r3Qk4dubmyeUXT1NVICTkbHOmkL0wSz7iE,29820
nemo/collections/vlm/mllama/model/mllama.py,sha256=5HdbfQqxnp7PxpJe6sxI9iHg2DRdSZ4BcbDN4U6A7fg,44250
nemo/collections/vlm/mllama/model/utils.py,sha256=kZdhyIrbo4wXZzxBXJbVH7WSpUYquaSBoBikUlFUdxc,7238
nemo/collections/vlm/mllama/model/vision.py,sha256=rgDKP8d-Y96OK9wJ9WUgZJNzabSuX4SqPdb59g8T9pU,26340
nemo/collections/vlm/modelopt/__init__.py,sha256=Ob3KnUHF97J3BV-DozjUXOdoBKRZJcc7gOTtcJBRzaA,734
nemo/collections/vlm/modelopt/model_utils.py,sha256=78lz0lsHVYYIHwF_l5yDD6Ty8dEAW1G-Y2BWvIXqAUg,8143
nemo/collections/vlm/neva/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/collections/vlm/neva/data/__init__.py,sha256=YH93kBaT7ken3OdyYemrSP_Ib8pwHktH9oERF4MJfZU,1164
nemo/collections/vlm/neva/data/config.py,sha256=6wGZY6vZqz-cjC_46BaP85yJrYK4JeQAuz62Q5916z0,2006
nemo/collections/vlm/neva/data/conversation.py,sha256=c9-oqxHFzM9KBy8L1My-i0rEgsO9AombuwptK73T2_8,25025
nemo/collections/vlm/neva/data/mock.py,sha256=PEvShyRy_DEHvtjbomd4eBu8pwTNT8ZFcdqp7fbKX4Y,9360
nemo/collections/vlm/neva/data/multimodal_tokens.py,sha256=CTMmeXsV0iUZCbHJYQr39JDZfmpjC6PynoGzxa9yNt8,1572
nemo/collections/vlm/neva/data/preloaded.py,sha256=PslGBWuVz6NiHjaLGQxeU5vIp6HVFqIDq-9put52TN8,27441
nemo/collections/vlm/neva/data/sequence_packing.py,sha256=q5jSfoSPDezoPZU-9dmW55JNGtYVMl6Cl5q5H6J3EOw,6696
nemo/collections/vlm/neva/model/__init__.py,sha256=_ZC7fsZNZbPzHf9wmQLljmjTMJ6jRQVkqb1VKErp5gM,925
nemo/collections/vlm/neva/model/base.py,sha256=HG2Rqb4OMKjopWO0HufWXlXWy6qBX4d5neKQA1XR_iQ,44224
nemo/collections/vlm/neva/model/llava.py,sha256=0V5T-yYsEUOAFHRntCzWgBc9m5LWucAqfXrlxg2AjI4,17682
nemo/collections/vlm/peft/__init__.py,sha256=iECiDLx0MQVHTnxCelaUk_naYcD69fYRe6q71pYwbnY,679
nemo/collections/vlm/peft/lora.py,sha256=0f9Vxitl788DeAWblJ_Z8pCpF7Sl5Vwa14hJ4Imco3Q,2308
nemo/collections/vlm/qwen2vl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/collections/vlm/qwen2vl/data/__init__.py,sha256=Ce8VmIr-7pIJae26HIVckG8HVGLFk2y9bihneRvYNjE,1107
nemo/collections/vlm/qwen2vl/data/config.py,sha256=NTvOtF79uNPLBFROg_I6pWKOWUM__h18U5GHSnWoFjI,1222
nemo/collections/vlm/qwen2vl/data/conversation.py,sha256=NR5CWH6Wir_lr6FJ6mEHoT9r-KRMZ66jZktQHAfBrVc,5382
nemo/collections/vlm/qwen2vl/data/mock.py,sha256=Xl8ipJRVhkopRUHQf1qbPtBEl-PkxvdCWH828aVa9BU,8031
nemo/collections/vlm/qwen2vl/data/multimodal_tokens.py,sha256=ZGh2_AGi0crBWUaMxvgixzc-RihCGHvzvRrtpjW0s5o,2436
nemo/collections/vlm/qwen2vl/data/preloaded.py,sha256=WV_syASscqyHYMvNIJUFzt8ODfdBP4HS-Hk1UCJuvUE,34580
nemo/collections/vlm/qwen2vl/data/task_encoder.py,sha256=zVadeQq4n6TPHvyHMPaYSuBEajAADpaocK5sABuD94E,18865
nemo/collections/vlm/qwen2vl/model/__init__.py,sha256=-Cc6ymbX1tWwlM-hri0BATogN5YVnpO4W122ttihjs0,1247
nemo/collections/vlm/qwen2vl/model/api.py,sha256=1kVcZFQLI7AcbW61B4kOMOUC8wqC37XZQlGyCmHHCx4,2017
nemo/collections/vlm/qwen2vl/model/base.py,sha256=Yn9LiSr3Opx4FSFJGioEtbHmLOPZdVkvOcZ8Kthes-w,51635
nemo/collections/vlm/qwen2vl/model/qwen2vl.py,sha256=ThDFWs6mTr1v4jMS3c3WNKQtwvGJR-xOH9DvIRwTUQ8,43521
nemo/collections/vlm/qwen2vl/model/vision.py,sha256=CjyDNEu6Rp_XW7IohBFMR4aKmhmVa3V7IBUxnqKcE24,32890
nemo/collections/vlm/recipes/__init__.py,sha256=suNj93ijIvmRMMMksVot3-wD8P75mGhWm87-8vKwlHY,992
nemo/collections/vlm/recipes/clip_b32.py,sha256=lSnoIwXdpp8Yo0ne0tAn2EsbSFibzP4IN7YVjavotPc,4212
nemo/collections/vlm/recipes/gemma3vl_12b.py,sha256=UTSk0hfuDwH2YCepzv1BHXbRtq6fPUyYv4cXxxpcYXE,13125
nemo/collections/vlm/recipes/gemma3vl_27b.py,sha256=ldLHini7pbYj-B-8MdgVMbxGPmTiED3sgEc2HCfukjY,13188
nemo/collections/vlm/recipes/gemma3vl_4b.py,sha256=86UihSWPvMosH8RF1khbIyPMeANM4IDtCrMEHTkfb50,13107
nemo/collections/vlm/recipes/llama4_omni_e128.py,sha256=qWxI_NSc0jGXqYOp__Se520QDlZsISbTFQZvYqOQN3w,14415
nemo/collections/vlm/recipes/llama4_omni_e16.py,sha256=EVPHeB6isuDaa6OQy7Clon2LA4Qp4Al5zgnmIsLqJDY,14385
nemo/collections/vlm/recipes/llava15_13b.py,sha256=wByzVA013xD4j9Zf-_L0Vk9pbKJjKR_b2vr8NxDWxNg,5694
nemo/collections/vlm/recipes/llava15_7b.py,sha256=hD-lxKzKnDb03zj_dX8s0Ri_SoMwLZk-vXFfyttQlrE,5685
nemo/collections/vlm/recipes/llava_next_7b.py,sha256=sRxD5FzuQ3KMe1jBKTZ1MbT-3IbisxDe2w7-uXfwP_0,8007
nemo/collections/vlm/recipes/mllama_11b.py,sha256=s-FQx5D-LFptdIei40vnjPpVilbsiJU7wtZTUaJ3zeI,5302
nemo/collections/vlm/recipes/mllama_90b.py,sha256=pzf_qxCO4RTT49eMmygQCz6ZlkVX0_wu1tem_E5elkE,5300
nemo/collections/vlm/recipes/neva_llama3_8b.py,sha256=Rk-IZmUwNyLeVLColt7a3_yVn1OIrABSRDwyDYyb8f4,9781
nemo/collections/vlm/recipes/qwen25vl_32b.py,sha256=wSavYISWUVSFheMKHAg1dcwvf48NI0woZ-LG_9o-vHI,7528
nemo/collections/vlm/recipes/qwen25vl_7b.py,sha256=D1rTN77QryxqMN-ESw3AsDJ9lt1uCaG7ZcIDq607rSQ,7518
nemo/collections/vlm/recipes/qwen2vl_2b.py,sha256=ZW8UMdJ224h7178jurECsEVfbLAZnsAsa4HCoucYleo,7604
nemo/collections/vlm/vision/__init__.py,sha256=tDEiliUNGBAJorpDSDqoGD9LpFsuVAKwjg8DnFU_cV4,1392
nemo/collections/vlm/vision/base.py,sha256=MXkPV4EqosmSmphikL_G_L9Ww-Xwt6kCgXlB5wEmeHg,11473
nemo/collections/vlm/vision/clip_vit.py,sha256=lJzrD_obkl2I_XehWQyuLyxgqBRif5NHFxLLlrmtwkI,8944
nemo/collections/vlm/vision/intern_vit.py,sha256=EGjnMjo4dd_7-Z3rEOsrxhFxYJmF93SkSjEPJt0DNyw,20487
nemo/collections/vlm/vision/siglip_vit.py,sha256=ak-j7pYt-gjKLAKlhyOucpTbQE-6c0QMCOrI4NQQ1Ps,8856
nemo/core/__init__.py,sha256=QsQwlCIYLamCr8pqUyZsamVtzi0WCoBRa9DI6sGmm7U,673
nemo/core/classes/__init__.py,sha256=QMQeO9mF2rcjgHx3rsL-FTIOdSf6AhKdO43lf5M6h9k,1208
nemo/core/classes/common.py,sha256=ioO0Etro7AqPZdx-cE2wyz_gAmUYEcLe01TgEHDX3EM,54562
nemo/core/classes/dataset.py,sha256=Fmsua1QtJ_iQbtJjAauRNImMwyYpl2-B60UPZ3yC37A,3394
nemo/core/classes/exportable.py,sha256=P8SOzlisCYLeqK_wYAVhTV67y8Re8JJNXUmzLb-OGXs,16164
nemo/core/classes/loss.py,sha256=4M1RT5SNyhRM8cZRKThW_zBXQ2ahMTzRnDhqlyOpTM4,905
nemo/core/classes/modelPT.py,sha256=9FvlcTAZEevOjUDhGsklUEogwqfRh8SoIqLGsXS1PVc,94631
nemo/core/classes/module.py,sha256=4c7QymfaXocQvn3riZKwLR3e5Of1intAByGNtpJV4Gk,6208
nemo/core/classes/mixins/__init__.py,sha256=Thl43kt3zC8wqdpG61g7cTkVpF3K3ossfhgawSTLfHY,1120
nemo/core/classes/mixins/access_mixins.py,sha256=kTTIgCOwwEPJqV2nVn45B8yI-yBiiFeXXICrFsLY6-Y,5275
nemo/core/classes/mixins/adapter_mixin_strategies.py,sha256=qIryuGizQO2M_KlhwsNLTT7DkRkm-Mwytgvp3QLzKh0,11799
nemo/core/classes/mixins/adapter_mixins.py,sha256=2TecZlSJsJPgY8xj8IHNKT3UJdm1CDN6b2fxxEj0aow,49338
nemo/core/classes/mixins/hf_io_mixin.py,sha256=-YJh-tB1u-gaNYA3D76ZcxY9P37ZSjbvJm1qdjR-WAw,11506
nemo/core/config/__init__.py,sha256=rXE1YE5nctCxOhtX0kcO2kA9tTtcAEp2qPRw7Jy2KMU,1582
nemo/core/config/base_config.py,sha256=cxD8S_JrxLtdBe-T_t4DBEhenS_LZOAPw7-TSUrY73k,918
nemo/core/config/hydra_runner.py,sha256=MYI_9FdZq1_n7cKQ8tqoogqEWl2Ys-fwOVLS8oOBaDM,5977
nemo/core/config/modelPT.py,sha256=hbL1iIeXilbEAZ_xie74vXAAfHNY2VxTXsZXGNQ_25E,7042
nemo/core/config/optimizers.py,sha256=xb3KC04Yl-cQ1gpyweiPbtRHPy2E1XiHh1yOd5lN1qU,9394
nemo/core/config/pytorch.py,sha256=qz_h8_zqp56lZTrp7OfycyF_YCoP6DP4AP8sfqrwMww,1478
nemo/core/config/pytorch_lightning.py,sha256=6CIiw6UCCQoe-pTLpkqnOkAYb3yuKJDbVmCks_Q57WU,2767
nemo/core/config/schedulers.py,sha256=cqGSei7ygNX5CqZguc2mgHKCH_09I7LoXXOA9tLdTsI,8535
nemo/core/config/templates/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/core/config/templates/model_card.py,sha256=UuClgEjW9owKtDEr3C-jNSI4K8iO9QDrLryoS__oeNY,7474
nemo/core/connectors/__init__.py,sha256=eT_TjRPER47MGd1F-FawTqrRWLkCRsvup46smps-UzA,652
nemo/core/connectors/save_restore_connector.py,sha256=toaSk9OamyQpDS-fMHY3VQDex7P2Id5_FBjVVLSGGik,37168
nemo/core/neural_types/__init__.py,sha256=IGAjAvVj3l8oT5FYj3msOo5jRT3NMlqbeZA4EbQC8Yo,797
nemo/core/neural_types/axes.py,sha256=pOsYOYRQeKXpR0LLVBXovwMLiKQh_-hz9SzdEQJedXs,3980
nemo/core/neural_types/comparison.py,sha256=ojReLuwws8OSZy0E1PCil4kQESZSwEDtEiHN9MsnDmE,1343
nemo/core/neural_types/elements.py,sha256=cozR8v9HqSe0qXvC64rKOUMAqv6tPPsxSAJPEvlC2C0,19129
nemo/core/neural_types/neural_type.py,sha256=R-s0v4fXpeiMSDNMIvV49ZqXJuOhY6fcHNf81xO2dx8,10733
nemo/core/optim/__init__.py,sha256=w59sitC832KFNZw3kVrV6NAa-BrJY3EJ4DDGmxoqZnI,1418
nemo/core/optim/adafactor.py,sha256=Zga4mlXAKaTUI0iu4_71arYf5QmAB9CL7xPnooKu7fI,8725
nemo/core/optim/adan.py,sha256=lawcWO6smaBS8_hAxMpjB8z3ZxfJF4fxvFnTS_W2ZLs,15411
nemo/core/optim/distributed_adam.py,sha256=SYfJJg21XztwsMA_2V9L8a4CsxdmjUYbY3qeJPmNyO0,33628
nemo/core/optim/lr_scheduler.py,sha256=-KsS-yUsfIYWjsXjWUe3bY1b2Tekn8WtaXyTHOvmvUE,41886
nemo/core/optim/mcore_optim.py,sha256=LZEHuFXx1CK61siDAVbwsOWJ_S7IN70NoLFPRpCe-68,7983
nemo/core/optim/megatron_fused_adam.py,sha256=32btN9W1cz8JEa-piCu2l9dtUutxVC98Kj20TVT3TPg,8702
nemo/core/optim/novograd.py,sha256=qXvtFDPawVQlFnGMijVS-BrDW_oD-W1vxxnPC8-gJfM,5714
nemo/core/optim/optimizer_with_main_params.py,sha256=ru2kEHfY3LHyYV-wjXHEjmVUntbTZWtR7J3rXXCtxDw,24199
nemo/core/optim/optimizers.py,sha256=O2Rslv0pGRmv724Sl1QimWFh4_WQNojFu_rjOXUYUjw,8857
nemo/core/optim/radam.py,sha256=d-CMdqZxJiwxsXHtg4LIbiMbMU5y-_H0TVEqpL_sBMY,4915
nemo/core/utils/__init__.py,sha256=R4Qm8rPegPP7njzdQjxeOq2yZZJLY_49XpesRe1b5HM,669
nemo/core/utils/cuda_python_utils.py,sha256=t_h-btVZuOY-nz_oZ5AuJMoiaXcuGJ4mKC-X8_wD4SU,8806
nemo/core/utils/k2_guard.py,sha256=6l_Lxwp7enWwf4kSmAuIxw_1Zi1Nd8Ts8oLCeNPEbrg,1778
nemo/core/utils/k2_utils.py,sha256=oD8EGxlYpQ7zYISQVuXhMPRCzxSAcg9-_1_snB_mmZM,1090
nemo/core/utils/neural_type_utils.py,sha256=yBG8wE034ba2IKSkYH7BnOloiyB128PExlaQD5f_ahg,2942
nemo/core/utils/numba_utils.py,sha256=uhePesIBQ02OVyPxd_3S5JAnE_FxAgoTRzq1Q44QCmA,7043
nemo/core/utils/optional_libs.py,sha256=H1rKVMZ1SByBbIyAO6KggwdNwnvODURPZeQr6MacVF8,3216
nemo/core/utils/process_launcher/__init__.py,sha256=QosqqMafq2LMaZvNf7zRQcdT5q-nkQstQhd1tPKvwhg,704
nemo/core/utils/process_launcher/launcher.py,sha256=ZEBroEj-1IDFkpUxOD6OWydRb_kAd9uT3N4fzGhAQzE,14482
nemo/deploy/__init__.py,sha256=2pRJE9eUGGF2Q5iZXKLPDzaMaA0VbDSW2q2DKC9M7YA,1106
nemo/deploy/deploy_base.py,sha256=V-0ykFCLqzH3brT-bBO7KsxQaEeaOrMYIJ8t9DzXM14,3618
nemo/deploy/deploy_pytriton.py,sha256=PE3gXuAeD9uiI0Nle4y9oUGHc0q5jhMV5p0NDxPN4zQ,6336
nemo/deploy/triton_deployable.py,sha256=cx1GFIT5pv6Kf21M_7FAg5vZAE7AhUSOwyBw4JWfOLA,918
nemo/deploy/utils.py,sha256=HGmfVMUcRx-DW_9nXTh4GJWl2asBWRu1ZRuKJ0LbmtU,7060
nemo/deploy/multimodal/__init__.py,sha256=BA-bOE85eRotdQX7FmPfPONfexCV7X0LtZhiuSL0tYo,684
nemo/deploy/multimodal/query_multimodal.py,sha256=tp1YcI9er8TL2kqfosJPpfY-aG4LBbjracKLE3NjeVI,5867
nemo/deploy/nlp/__init__.py,sha256=2gdtSxxTHTuWqL-Pbk90hWlFfpYDRxk66bSTiqByrn4,784
nemo/deploy/nlp/hf_deployable.py,sha256=KlhLv5MMJByqECObZwwndtRpBcnL7skc7t9mCqjGIe0,13573
nemo/deploy/nlp/megatronllm_deployable.py,sha256=vevA0MdCDr_H06KtIIItR5MZHGFnGwlOoL_6uObDfHk,16481
nemo/deploy/nlp/query_llm.py,sha256=AduAMc7fPtMnGD5aiATomd8uXUsh6kMKcDpSxSJB8WQ,23367
nemo/deploy/service/__init__.py,sha256=cUVgg68B26BoVxtIuYOEnlShXOrH9XDbBclks8ihQNM,642
nemo/deploy/service/fastapi_interface_to_pytriton.py,sha256=S9022eO1h0_aeRRnAY7807I6rFEcjwNc3JOJJv6n0pQ,10469
nemo/deploy/service/rest_model_api.py,sha256=RrbENTIufwbZkksobHoqs5MJrXIT1M9819_o9FyET-Y,4740
nemo/export/__init__.py,sha256=8Bu18qgiX5HgJ4jkNc3msXJxbHGzHE2N1pHFQwHoaog,1054
nemo/export/onnx_llm_exporter.py,sha256=NfG2uC6ahmTNcKcmSZAXYiqOHH71wh8ZFlkZ14OvJHI,18937
nemo/export/sentencepiece_tokenizer.py,sha256=lmw7jOh0w0tfs7HPNWoAB4q0lP0kn2vXpdgooZCDnrI,9913
nemo/export/tarutils.py,sha256=rdmNwp1WKYHF6nIxPT9oyo-Fg_EH3q6HX8uX5q8TW_g,7976
nemo/export/tensorrt_lazy_compiler.py,sha256=99OPskjpZwX5QQJYEBCzBPAwVzg40inllV_0tfUe3u0,28723
nemo/export/tensorrt_llm.py,sha256=Qxis4l08dBguyvKMZd0AvwVG2SCU8yD10RTiaJP3ZDY,84490
nemo/export/tensorrt_mm_exporter.py,sha256=FRnW8KEqIO053bnupa8BHDt7A1hmhpIq5dJ0o7V4Zgc,14221
nemo/export/tiktoken_tokenizer.py,sha256=WpeDBa7AuHDS2CQT2OkvSj9nv4b2mQyqsVeDoVKjoc0,4000
nemo/export/vllm_exporter.py,sha256=FvLWqEwGvYIyNS0whL3F3BO0PVlU0CY-aIHqZbnsZro,20824
nemo/export/vllm_hf_exporter.py,sha256=SdV66xStgQj0zRbWdT3pAlI4iwrE5ha-zhITyueWjA8,4645
nemo/export/multimodal/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/export/multimodal/build.py,sha256=DYho9bB1gLY6w-GumdUuKwCVIkY-CpSqJjgNLzPMCko,28036
nemo/export/multimodal/converter.py,sha256=RU2y7hGHuaJrYxjsXCY8_E4tPspga_s0Z6MMrOeJbE0,19170
nemo/export/multimodal/run.py,sha256=1U-bIUC3BH8oPit109eVQ3e44OJIfvsXIWJLWZWsgwQ,50165
nemo/export/quantize/__init__.py,sha256=mJfjZYpO0MryC6-4ejiCjXQHQNTKjmcrWN9zuevCnlk,644
nemo/export/quantize/quantizer.py,sha256=59pR0GATTSBYBvVyy4YtKrt0YTFUGURGTsyKpIr4iEk,11434
nemo/export/trt_llm/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/export/trt_llm/tensorrt_llm_build.py,sha256=W6IZd4NbV-E_q0og9s04Qbmvsmk1IPh2l8MGDGzEGLM,4898
nemo/export/trt_llm/tensorrt_llm_run.py,sha256=X_v3M3a_hmfDkgmNkfuR9JfXdlxWeDAbAek3q5-eqJc,34719
nemo/export/trt_llm/utils.py,sha256=rUJcYouXQNexJosCUaLbmGRmt1vjJF0YSTNcA0azqyk,1176
nemo/export/trt_llm/converter/__init__.py,sha256=fAL6CiF1_taAoRVsurzSXhlfywLzVsXZOkEEtyBOfBQ,610
nemo/export/trt_llm/converter/model_converter.py,sha256=RiaYjqZqENIrzKjVNDVYr2eJpEBo6d147CnV0TmYZPY,12784
nemo/export/trt_llm/converter/model_to_trt_llm_ckpt.py,sha256=S7ZgnL4sqxFnz63aB2WhiEu-1gm_9KLawf1xQplFQqE,20484
nemo/export/trt_llm/converter/utils.py,sha256=GNx4cfiqHCbI1XUM1syReOAFg89BQM2ApcJrHzTzV6g,25215
nemo/export/trt_llm/nemo_ckpt_loader/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/export/trt_llm/nemo_ckpt_loader/nemo_file.py,sha256=UFOxMVqFwHnUuUC9GzNqCZeU7XK0jO5AQYCx0iQLs-c,28512
nemo/export/trt_llm/qnemo/__init__.py,sha256=zH-_ogmR2u_mH-2CD1kR_rJ2PAtxES30lP7N95yO6Lc,668
nemo/export/trt_llm/qnemo/qnemo_to_tensorrt_llm.py,sha256=zI047x3SP8pAQVikBeoz_A6ZDFy_-RfVAN0MKdcJjzs,5002
nemo/export/trt_llm/qnemo/tokenizer_utils.py,sha256=_m1DHUF_ReY_ep1I5US9p_r2mLuMAIUyD_KL3oy5kgk,2452
nemo/export/trt_llm/qnemo/utils.py,sha256=bpaNF8yAxkC-6vsDXILzM98RWPrXT-qFVWreIYt5IHA,1151
nemo/export/utils/__init__.py,sha256=nYBp5ZlRz5nCxQosi-Qf0oykHrw68U4iRO_nR9B1Mc8,1451
nemo/export/utils/_mock_import.py,sha256=S1yladjuEqZHnRBhcBCt3x_CENgtpFuYPpiF83ZDd64,2402
nemo/export/utils/constants.py,sha256=wnxOl1Eb68EHhmhM1xLR5SLWxvxD8XhrQYSUfZ-CHB0,656
nemo/export/utils/lora_converter.py,sha256=WWbJmIY6IGCWxNcCL0rtNasX0vEvRMy657a1n1NcPjs,9736
nemo/export/utils/model_loader.py,sha256=6oCpgsJp5Yt4IEl9SeO4MmoqJNioUYBKX-SEV5e2E-o,7321
nemo/export/utils/utils.py,sha256=7YUD-jYfKpSdQouZJig9dwxKhL_lB4pSVnMripYLJRM,5496
nemo/export/vllm/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/export/vllm/model_config.py,sha256=6Ci1x84oIR5yUS-YwxucN08_2-GN3VnVH8G7CzcOCX4,11343
nemo/export/vllm/model_converters.py,sha256=ECXv6SiBin5GoK7T39D-QFepkGCuoHv_k75tI-sRIjs,19076
nemo/export/vllm/model_loader.py,sha256=0-qwzsmAWDM2MEGvr02USKpL_R2rEuf96YQYu81FPhw,3932
nemo/lightning/__init__.py,sha256=Tm5PvadNOvad_uQtdfxet2PIgPuNNrZz5k1zGc2sYd4,2886
nemo/lightning/_strategy_lib.py,sha256=fTjZRMDqJ5A_G2AJJE5zmXB4WB8nT67V_LbjuLc5MsI,32216
nemo/lightning/base.py,sha256=W_n5VeTA8SZDUpsXQ4n_n3Ng5yrymeRGWA9hw0h8vts,2588
nemo/lightning/base_callback.py,sha256=Wp-LX4YAfE0jh0v1I0XM9yNWQdAdTX-ykcyRGNDbpzA,2935
nemo/lightning/callback_group.py,sha256=n1R3L545COh9wIuCZ6Vv0_N2dcgzMp7aZ-KuhxIQtM0,7223
nemo/lightning/ckpt_utils.py,sha256=qgiQYkNdB5IBWBX-nTV3b31x4p4VilY-IgG8boLLnp0,3835
nemo/lightning/data.py,sha256=QxGifpZzkM8lPSxQ0Zt_RAntw1hSVFsdHjvv1AX0Ltg,20229
nemo/lightning/megatron_init.py,sha256=WvCQHn33y74MEvRW4_UTGFzoZ5wwwkp53IfQnLDaP5M,25323
nemo/lightning/megatron_parallel.py,sha256=QWye3W38NZVzdwF2QAhTwkn5di6sVkIsFDY1mahG1lU,75778
nemo/lightning/nemo_logger.py,sha256=a0EsaI8kyNNFLl2L2rqW5EYyitBrT2daB12Ky8VaXyE,14200
nemo/lightning/one_logger_callback.py,sha256=m0ZZXXFD-BjTWUdBNWtHkvBIQX8HgO_oHKyMgFSvQVs,12471
nemo/lightning/resume.py,sha256=8RfJgk042tjucRD_j-RgauwmLIjMjwwQvD4h2dmzKz8,16626
nemo/lightning/fabric/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/lightning/fabric/conversion.py,sha256=iRa5zy4CpOvkYC-cJREFXBfLgbmm37huGWPr88j5WBc,4955
nemo/lightning/fabric/fabric.py,sha256=CoLNRNF9xTvxuj9NefF-lBVRt9IEW7aVH6kOxPNy2Co,5979
nemo/lightning/fabric/plugins.py,sha256=gxQ9Z9OJBeOGG46p1sfWun_nCEOQVfQ4Zym8JpO47ts,8173
nemo/lightning/fabric/strategies.py,sha256=FJl4voFKQ78rI7QXs2CcR4qV9bMdnxp--RuudqZWRQ0,26211
nemo/lightning/io/__init__.py,sha256=-tBBT6_QjP_5px6mCrcXtDDOYHKjiYhR3_FxvstDmfY,973
nemo/lightning/io/api.py,sha256=-fJeEUXpiVaSfZ4WwqUtmvj7NdYFbmP458pA3V67KCM,12696
nemo/lightning/io/capture.py,sha256=ZLRTyR-cSbO2gyKlG6E8ZCofLaePaIBe0h9X5x195Hw,3556
nemo/lightning/io/connector.py,sha256=52sMmnHkqRJOfMdnLQOmEuwdgZ1tlVfpY4OcnxG0uKs,13457
nemo/lightning/io/fdl_torch.py,sha256=bwzPuRpJMF4arjNQe-ORPCw0uAddtlM-B3H2dagIxXY,5196
nemo/lightning/io/hf.py,sha256=hYuWhqPjHSKhsOygfP0jZzEZNNs2GXtiuVJzBgUSZQU,11842
nemo/lightning/io/mixin.py,sha256=bWPCmRFLfAYkASPveY6lkQcR82xelCbBHh1tFVsLE7w,30878
nemo/lightning/io/pl.py,sha256=fkRv9eyhcNeIpmfHL-mkXplZsSHVJD9qLKLjGFYl4bA,20970
nemo/lightning/io/registry.py,sha256=lXpSHxO30V8iixdHlQLUhrDPJDvnLFolr58MuvyoDi0,2161
nemo/lightning/io/state.py,sha256=-RKwY62_XbbYnHr7JQTSDfMozfVyYylwpLROt12gZLM,28404
nemo/lightning/io/to_config.py,sha256=bTF_vGPaeH42e9K07wvLHlPYCe-SIJHFWfIPiGtsEQs,4085
nemo/lightning/io/artifact/__init__.py,sha256=-UEwLqOAA4Tt532YN44i0ULZt_lND2my9cTx8cZSjJg,332
nemo/lightning/io/artifact/base.py,sha256=h-yK3OlF_RpEyD5KyfUJ3lFu86qMSHv8Xcjcl-tf_dM,1272
nemo/lightning/io/artifact/file.py,sha256=HtR6CifiYuTB1iSrtFg6Du4WDsUupyJUYXVzsrmuu3A,2946
nemo/lightning/io/artifact/hf_auto.py,sha256=vpbWyXvcvMNcmjE_CFv4NYdZUalb94y3bT5HwCVUE7M,5268
nemo/lightning/io/artifact/pickle.py,sha256=QuKBM19M5lUzR-pirJmocnlFfgD2Eu3ewT7PuU5rxy0,1248
nemo/lightning/pytorch/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/lightning/pytorch/local_ckpt.py,sha256=qutb096RXG1mIyEbBbIDFRNilRr9EkeGU28ZK35UtmQ,7788
nemo/lightning/pytorch/trainer.py,sha256=LsTxu9RuEjXO9f6aQGH9S6Tmiu6SWc_sBdp9hWF9ONA,4187
nemo/lightning/pytorch/utils.py,sha256=RUK48jQAABDeMPbe0wG2t6aiuczJtHWLWgIEhA4gIEc,3409
nemo/lightning/pytorch/accelerate/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/lightning/pytorch/accelerate/transformer_engine.py,sha256=vm4myoAV8snYyPucBPK_H4IqGWtAYRctFPLaJ5IHy9E,4595
nemo/lightning/pytorch/callbacks/__init__.py,sha256=-CMZq95pMIUvNKTAjXomFpEOndzyuvinmb1xhwYBd-g,2510
nemo/lightning/pytorch/callbacks/ddp_parity_checker.py,sha256=_WLm6KUphWwCtKJ_rT5h5mHngDHzWY94TInVPwHeNtY,3320
nemo/lightning/pytorch/callbacks/debugging.py,sha256=nNBOpU0eZr2fJgZpuyU_kVV5Na7HTxP2kuFp_O6WaMk,10620
nemo/lightning/pytorch/callbacks/deepep.py,sha256=Wz_2pBQdniJFEF9nM41WSddOhGF6udbqb40D4hRcPZU,2180
nemo/lightning/pytorch/callbacks/flops_callback.py,sha256=ry3_TpO3fFnmAl7eLCIhsTeHgRRKIsUgOCne3uyYd3A,12905
nemo/lightning/pytorch/callbacks/garbage_collection.py,sha256=dcHMwtxDfWe2TFejegJhqKMR6-YxuZ77k-g7LP9I8Vk,3588
nemo/lightning/pytorch/callbacks/jit_transform.py,sha256=nppNb5bUsNoUv4WEVZ8Sczy6xuVt5dfF9d5fMz8ZlR0,6971
nemo/lightning/pytorch/callbacks/layer_freezer.py,sha256=g3tJQ1d-XCeWArrsfXm5GnW9j7kVrehkWb3Qh-uIz5Y,5598
nemo/lightning/pytorch/callbacks/megatron_comm_overlap.py,sha256=eH6vrcPu5otY15onWNt5xfDv2QheD9bpRe2TbR6mgAE,16122
nemo/lightning/pytorch/callbacks/megatron_enable_experimental_callback.py,sha256=Fg_QBUMOiW70IIKrkmQrkOm5--eMFdznAec1s4VBMb8,1246
nemo/lightning/pytorch/callbacks/memory_callback.py,sha256=QdfR3AKn8IQvg8SOmwqsCMXnyIv0NZzmxZy6y54to-o,8978
nemo/lightning/pytorch/callbacks/memory_profiler.py,sha256=ykIY70N0zElMY-tbVjG_JmrbRcmXDmJqTczSdIsZMKM,3859
nemo/lightning/pytorch/callbacks/model_callback.py,sha256=NUyAPUe8hK9Sro-JQ5fYWhdGbw1Zpvcs0FyO7D_s350,6161
nemo/lightning/pytorch/callbacks/model_checkpoint.py,sha256=19HMpi5Axugk-40OcWrdWAeR3t4Yjmw4ixcozB9PxQI,41088
nemo/lightning/pytorch/callbacks/model_transform.py,sha256=JPAJQKo4F-kwDqgb_Cw0114c8qX7QVCN3ZNMRHmaZxk,5105
nemo/lightning/pytorch/callbacks/moe_token_drop.py,sha256=CSHbP0EI_OdkirKBwp73J5_OTp9If8SgIYcSc54IGD8,3345
nemo/lightning/pytorch/callbacks/nsys.py,sha256=crbadx4u5Gf-DNrcPpsXUV_xXtFDBblBYIBl-umd3x0,5523
nemo/lightning/pytorch/callbacks/optimizer_monitor.py,sha256=q0Bs9vs4rMhQVs8fubWIWj2Rhu3RYsBdGpPYyvyQjZ4,3618
nemo/lightning/pytorch/callbacks/peft.py,sha256=f9jnlaH-LpNOyDNO-dAgr5JjjUkC7GgZVhCaVksDy3Y,30095
nemo/lightning/pytorch/callbacks/preemption.py,sha256=Ch-yPTPGFQzrUS4o8EPem5yL4DrmDtr2z0No8vjwQQg,4752
nemo/lightning/pytorch/callbacks/progress_bar.py,sha256=esakDCW2R76dNB2GOXGd5mVCFt0N9WGlFCt5NW_KpvI,2779
nemo/lightning/pytorch/callbacks/progress_printer.py,sha256=ZZgxzEaM_R3Uke_TM7Gxbumqp6cDDF90t8LObWxjxIQ,7770
nemo/lightning/pytorch/callbacks/pytorch_profiler.py,sha256=68rINmTCn_E7elPLExKDr_5BZueF4zqoEz9TRXxbe5c,6531
nemo/lightning/pytorch/callbacks/runtime_estimator.py,sha256=9AipQAKSpvoIvTeFRBXvEgO5gkeQqiBiigk5cGXWbKY,7907
nemo/lightning/pytorch/callbacks/speed_monitor.py,sha256=UbHrseqsFlVvmbuOfj1-YEgPIsng6CiixFt7ZDdKWJ0,7412
nemo/lightning/pytorch/optim/__init__.py,sha256=MmC0mBMXfUrz_8ZXM1iFXAgm_EvZbz6L5oLCh87J29g,1924
nemo/lightning/pytorch/optim/base.py,sha256=is7yggCNfoOZyw4VleJ31Ofmv61MJkqEN4cz67ryz3s,7684
nemo/lightning/pytorch/optim/lr_scheduler.py,sha256=syDbXqGWOfN9DSi5xPEEBObHOm-y6stpX4ftLIU7vdI,16854
nemo/lightning/pytorch/optim/megatron.py,sha256=sgd26FlWKO5HrYGb41CaWeaVaY7OreshV4SOBOZEPBY,4165
nemo/lightning/pytorch/optim/pytorch.py,sha256=H7l9xeVLQghyB01lADWPReVe6TPelLAyxfvEZdFiA1s,5001
nemo/lightning/pytorch/plugins/__init__.py,sha256=DuWs2NIvx9CLpS5J9t9IJ7hhkT_BdmY06MFRim7mZRk,230
nemo/lightning/pytorch/plugins/data_sampler.py,sha256=HNB407hv9Y8av9ZTZQRyLX8tign3IdxBQMqV21qY8Wo,7702
nemo/lightning/pytorch/plugins/mixed_precision.py,sha256=TdSAkGY9MfuXpsN_JO-3C6H6zZ1Q2sorD5gE02e4P0s,11378
nemo/lightning/pytorch/strategies/__init__.py,sha256=KJefwARRhwA-T9UTGpt6fVOatDqg59TXd9NISPCseSg,920
nemo/lightning/pytorch/strategies/fsdp2_strategy.py,sha256=PDC9F9N5bcFSybWY0ZktKTvAixp-SzLIzeY3CkprSys,26803
nemo/lightning/pytorch/strategies/fsdp_strategy.py,sha256=4m6O-6rkm2qmgnyReiexdvDua1Dp1PYTYxZ_hPxXEVs,14125
nemo/lightning/pytorch/strategies/megatron_strategy.py,sha256=zbOMIKH0SWY04r8n5nP4BY7vRV1RPX_TNOjNTwgpyQ8,64051
nemo/lightning/pytorch/strategies/utils.py,sha256=tBiXra3bjsaS5At38y57w07DcjdWwxwRR9o4OQA0qZ0,26797
nemo/lightning/run/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
nemo/lightning/run/plugins.py,sha256=BK6RD4yMKPAtehxoyWaud5BvdsUhE5oRDBW6pVeXAfg,21722
nemo/utils/__init__.py,sha256=alftWzK54IXviDEaZIn33R6hoGXo4XiDficRQBok83k,1369
nemo/utils/app_state.py,sha256=vOAMC0LKS0NTAsVkA84hdZiSdfFn-HOnT19mhhITk64,28909
nemo/utils/arguments.py,sha256=5-zj3lbWQqHwFw1u9rhL1FxBGbkC2i-6Sttyhega-2w,5605
nemo/utils/cast_utils.py,sha256=W2sY6Q_U3GkPZw0MptbahU2bL6eiRvsl4VI56LxzAqI,3956
nemo/utils/cloud.py,sha256=esUr1LC98rEaI45A-2YhBqtKupb-Xvkx4x24-TzE8kw,5205
nemo/utils/config_utils.py,sha256=wFdUx2Fu0q5fqzZObHMTf4mIGR3y5BwJ9sCNz-wtlSA,12528
nemo/utils/data_utils.py,sha256=JkvQsqH8Uazo5cykh4kFbAvciwnJ_TfEmfFxjwommuA,12158
nemo/utils/debug_hook.py,sha256=s9Lh1Jr20ZhzH01I5B8dPLJ3l3rqMSUwmXjzhBQhJNw,7961
nemo/utils/distributed.py,sha256=Z4fptr5mhY9QiuDglEO10OiwzJImVckR6hrVV636p3o,4827
nemo/utils/dtype.py,sha256=C9I4ltlR1fpAN_xaCrUWNAUwW245aCw2kJGqcTxvu1g,1671
nemo/utils/enum.py,sha256=QlK8YasvKlfj-CrdWbxSMfzOfeNgyPHHZUYHO8Y8jt0,1578
nemo/utils/env_var_parsing.py,sha256=BLJ3_HS6fy_cynkHmJGpNnAaP_8xfz2sLfrqANzmOFk,6654
nemo/utils/exceptions.py,sha256=eRsckG3wt2z_XOdDJ_C5w-l7cwkZFJaWns3SsEu000w,1385
nemo/utils/exp_manager.py,sha256=o6T5uIiWtGrsTbwPwvyy7Pazzat4ki2iYg-ceHAzpss,68289
nemo/utils/export_utils.py,sha256=SLA_kbLbnCgDmU9ldRSUNhBmubkZi225zTyvIOphtvw,18206
nemo/utils/flops_formulas.py,sha256=I8jxk4EWoF5wg-2tTP9JqW3XeLjjd7Bnk3A6X1b0yl8,17972
nemo/utils/get_rank.py,sha256=KEUe53EVq1kmQ4jPN0nuxIBAv5KJrGaTxLBJwXOTWnI,2089
nemo/utils/hyena_flops_formulas.py,sha256=HnfSwc3fVFc8NxboGLpCrqhuLVnrYE0x7BNWBnrVN00,4014
nemo/utils/import_utils.py,sha256=GO0TvyGvEWsoRgbaTtGufVo1-DI1Zx-_9F-rM0Ra7cA,12910
nemo/utils/lightning_logger_patch.py,sha256=ltsDKkS_rmAzU0S5UsLOp0Bk_4Og58ccoEZrIm25LQA,2504
nemo/utils/mcore_logger.py,sha256=J_2l5CKuN7cKKj6-xtvYsHO6ZYphr-owGy_R7WB3iWg,1243
nemo/utils/metaclasses.py,sha256=c4z1KyuixUbvukyQZkHmG1j84zffnyzwmxfbCkpBZls,1452
nemo/utils/model_utils.py,sha256=HDzdp4q1nt5LqLDkZwro6qnmvugw50n6gkdIWL1OS80,29123
nemo/utils/msc_utils.py,sha256=D2YOHx_gmL5nKw9MduirINbHsimbGH3pFWA73uPkZVE,1814
nemo/utils/nemo_logging.py,sha256=ufHus3XL9LsmDVQXJcjuwNBsWz3zI_dfhPkKOy-_3_M,17146
nemo/utils/notebook_utils.py,sha256=0fZz8PAnrJXXvrJQbYcuVFVaks0QrVyDoxTAY7kJ9hw,4420
nemo/utils/nvtx.py,sha256=CI3BPqUvJNDCRzE_V48Sw_iqg9ZBJJ7cwfahIZ5UGhs,1877
nemo/utils/s3_dirpath_utils.py,sha256=CpbG6YBKBLRKEhGBlIDNspzyNA9FWutfC-FEshKhjkU,1293
nemo/utils/s3_utils.py,sha256=Q6YwmRVPsO9KFg5NsfMlxsaEOwR65lxkMNtegjCKrpY,13990
nemo/utils/sequence_packing_utils.py,sha256=d7ZOKBy_0jPtEAxMl2KgGei8vV1Ssq64MEHq7vCXznA,11586
nemo/utils/te_utils.py,sha256=Fu0qEXxit6I7cF_Jh-C0Ea8ymWwME97Vged4S3ppZvs,1617
nemo/utils/timers.py,sha256=vfznwzmDF-Ubx5qSdFxdYAHUPqlZxW9VlUtAblIDNsM,6457
nemo/utils/trainer_utils.py,sha256=BR9GyDFbDqGZHaVnxeY5TJ-elEnU1291v7NyQlhJ2FA,3951
nemo/utils/trt_utils.py,sha256=MOa--q0wKqF4saFl_Gab5BGaMz35Mi0tLALvwcuj20c,2016
nemo/utils/callbacks/__init__.py,sha256=ONfEZhUwnzAzhxvO5FrR6B2K5NpoPmIGMH1rqBj_2y0,811
nemo/utils/callbacks/checkpointing_context.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nemo/utils/callbacks/cuda_graph.py,sha256=V46sucJI7Wr2x4CnpjAWUOXzLR6jFyIWTuprgNqRl2k,19151
nemo/utils/callbacks/dist_ckpt_io.py,sha256=Nzi9kP0ZqgR-tTRJHxwq9P1uS8maUUTE5ggbA9cXz30,21937
nemo/utils/callbacks/nemo_model_checkpoint.py,sha256=tinbQYTbO-GNwCAYfzCuTjQtp9y9j5CGJFc7mVQr7YI,35588
nemo/utils/callbacks/preemption.py,sha256=nvzbNqJ68JiU1UMCsE6LirSQCUh_4aYdKY90CBaWxpY,4469
nemo/utils/callbacks/s3_checkpoint_io.py,sha256=sOheMEDHYErtCko350texiY2ynaSOB7ayFCHKcu9jZA,12816
nemo/utils/decorators/__init__.py,sha256=zo7bDC2aRVFRghmQYJceqQADrUpgE2xkyUmHusd_vKI,806
nemo/utils/decorators/deprecated.py,sha256=nQf8GTJuE-wBUE7w50R3TK7Oj3glPO7OEtzjJZvdFkI,3648
nemo/utils/decorators/experimental.py,sha256=_7-HX4QQQiOSe5qBn1qihEtNPVKOv_Hgbu8zHgeUo1A,900
nemo/utils/decorators/port_docs.py,sha256=Z4bF1DHKxQOYFI24ZPO5O8srkNnvJFBlmmA7RtYNRiE,2947
nemo/utils/formatters/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
nemo/utils/formatters/base.py,sha256=3LdgbAdEI3Sfa6760-JFvvSDGqIT1wmVMexaEEZmR9Y,5339
nemo/utils/formatters/colors.py,sha256=hScGWT5KJgJP_6dE0r8OGZidSven6qaJIIMAc7hUFo8,2834
nemo/utils/formatters/utils.py,sha256=HpirLOstajYWtIjTJDQVLoJi2nRM7OEL2mFkMPZQCu0,1537
nemo/utils/loggers/__init__.py,sha256=XdfyzD3G4weJOHmFLZmdQu82-V-mT9cK1AeL_KKmrcA,809
nemo/utils/loggers/clearml_logger.py,sha256=lZ--C_whoNHsndXHIl6ZqaguZmy1AdNkSfydfUWACfM,7195
nemo/utils/loggers/dllogger.py,sha256=HLASAXW35TTidJEXrqFGwgZ1IkMuoehtmZX2NQQe3rE,3592
nemo/utils/loggers/mlflow_logger.py,sha256=E_63RLm-9TquiVdLh2RErsuW0pBWdaJksstcwv9fmNY,1435
nemo_toolkit-2.5.1.dist-info/licenses/LICENSE,sha256=QwcOLU5TJoTeUhuIXzhdCEEDDvorGiC6-3YTOl4TecE,11356
scripts/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
scripts/construct_random_negatives.py,sha256=6T0gEKcpMD1YNmFTzPJOFMBGMTwydiSOwPRi8aFY4iA,1973
scripts/export.py,sha256=5DCKcPnG3PH8r91EZCLZ_8NXF9suprsd59nRze4upTM,7397
scripts/performance/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
scripts/performance/argument_parser.py,sha256=_TsNwoFqDcWh04_ndylEfrqKvdT9DHXpBM6Pc0WK_W0,11673
scripts/performance/executors.py,sha256=NmBFhr08Q1d62K-GgrdSr8ZWeMhM3FMGCsyZdYJLjlw,5203
scripts/performance/helpers.py,sha256=QEKieFMXqUb4S6O0jBOwrRyZxvVFq3OZ1nf5WUhwOeE,24757
scripts/performance/utils.py,sha256=lxp9Y2BVO6Jb327Z-TJKO3LlXX24dQR1S-eJe1NmL9o,8318
scripts/performance/llm/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
scripts/performance/llm/finetune_deepseek_v3.py,sha256=Tm6wCciGa7NVBjbEFx9kLqtnCzKobxvVWTs_cI31tRM,7480
scripts/performance/llm/finetune_llama31_405b.py,sha256=AbA6DcwYS5hMCHr5fkeTIFYcdNmSI-R33twLERuMBGU,7486
scripts/performance/llm/finetune_llama3_70b.py,sha256=GtZ4Is-hmUlKDweE2uZ3S44m-vnr-8bsxpz2W55j3J8,7911
scripts/performance/llm/finetune_llama3_8b.py,sha256=Ab8ZOoaBz3-iBzkBGPyLTB_m9ooz9JNK3n6tkvjr5aQ,5647
scripts/performance/llm/finetune_llama4_e128.py,sha256=qz8R24PBUf2Svk5QdMyDrNm63ug_nvyKhIt7NDNq4B0,6422
scripts/performance/llm/mlperf_lora_llama2_70b.py,sha256=YlM227Qvy3heWynTy4XHIoxEbLUuJimLrcDi573B0l0,12948
scripts/performance/llm/pretrain_automodel_llama3_8b.py,sha256=vErR7kypf_gM7mSnqnnnEyAYobLhCGC4cI67tHzWIwk,4029
scripts/performance/llm/pretrain_deepseek_v3.py,sha256=GwvRx7gUVmKI0nf8uigBhQ4rQOEVrF5P1lq0pMD3oyA,9714
scripts/performance/llm/pretrain_gpt3_175b.py,sha256=3Vv06IsvlfvJtEH4EeahFwfRU6zZoK1jtCKn8IHHcL4,7301
scripts/performance/llm/pretrain_llama31_405b.py,sha256=HpYOX4K9X0MiC5qDaqd6WovXP4qd-1Ds8YJUJHBx5CY,8324
scripts/performance/llm/pretrain_llama3_70b.py,sha256=afvdWWOslzwm5oBnuzVgO_kQdI4DOAz7nk42UC6iuVA,7736
scripts/performance/llm/pretrain_llama3_8b.py,sha256=Ct_NSWhslLjJMpJI3HKDIKm4PEIW9HIbBp8aT8bUl3c,6150
scripts/performance/llm/pretrain_llama4_e128.py,sha256=VxxymOCS6wJRM2XyKvJ1gz8fZGuQYFTZZ50vhIb1Idg,5552
scripts/performance/llm/pretrain_llama4_e16.py,sha256=eoaj750nbqRz_H6R20n3RWrY-sukfHhxYhivW4YxLyk,5770
scripts/performance/llm/pretrain_mixtral_8x22b.py,sha256=5Lg0ivgYnCVmGLqx8VYHnNz-Ew-AUYl734mHphqMyVQ,5155
scripts/performance/llm/pretrain_mixtral_8x7b.py,sha256=14lubmMfgYK6_9g6uTFHz9rNi-75cCE9G41dThBEfZM,4634
scripts/performance/llm/pretrain_nemotron3_22b.py,sha256=fu3fszogC2ICejwaVABuJbghJSMgMfsc_32pzaF7_0k,5026
scripts/performance/llm/pretrain_nemotron3_8b.py,sha256=ay5Xy_S2O8THkL-UpqZpVM9v06iHRPnhtPHCZirgdGI,4502
scripts/performance/llm/pretrain_nemotron4_15b.py,sha256=LV5HcKQhzV2jWhh30hLcFuwTyoUFrUyPVWcAygCQDd0,5416
scripts/performance/llm/pretrain_nemotron4_340b.py,sha256=YvMUJ66mIIJj-CSbiOSayanh9aSbMcKZGydCDhugi7s,6315
scripts/performance/llm/pretrain_nemotronh_47b.py,sha256=MiC5oUVmYOgxBtwhJikIDjsXPxHGTONeTU2D6aA7ysg,5477
scripts/performance/llm/pretrain_nemotronh_56b.py,sha256=TXP1yK8T_7PdlJOYsqVs2DkgUSGCpKtm1JX-Fsx0oqk,5478
scripts/performance/llm/pretrain_nemotronh_8b.py,sha256=Pbvuz_xXowrl47FtUR0JxX0WIoExMaI5cYFGCYjgxO4,5128
scripts/performance/llm/pretrain_qwen3_235b_a22b.py,sha256=uY4XrzXOGOy2gyBABC5PQ8LWViUnz18RDZf5AFBvLtY,5610
scripts/performance/llm/pretrain_qwen3_30b_a3b.py,sha256=U5O7lp34ryl7S7Ho-tIlOxlYmK3v9_7eyYuvWvWmPug,5568
tests/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/check_copyright_header.py,sha256=LPrh5kUarHzAv3SQPz6dizeci46PZn87c72iBr85RSw,4386
tests/conftest.py,sha256=BnMN7XvWsyWRA8TbGrIrAStJqsLXPmrTe9qe8sAn-GY,10247
tests/manualtest_model_downloads.py,sha256=Tw1Zkl-rOffPshp1r-zb4frbDh4akv9403XAb3KZmoo,3583
tests/py_cprheader.txt,sha256=ZIykMDpKtjK3m_aVrydVQMUh7Fu6nRr5b3mJfvw_WIE,619
tests/test_data_dir.py,sha256=ItPWc9ofTSh9XCeP2RRBeXDivPsHA5rgvc45axV_P3E,1005
tests/automodel/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/automodel/_dist_utils.py,sha256=YhjaC0lKo-JFkfVGV94g6IDlXMTCyhbJwpH9Gs2qTYY,5550
tests/automodel/_test_utils.py,sha256=2HHlmWGlQHRH1BOrlbYjMwpKOcnyy464SdvWhZdNwfI,2301
tests/automodel/loss/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/automodel/loss/test_chunked_ce.py,sha256=kk02ySYEZDdRzuu8sjZfHMWyWwYNStuNJG0nmuUJ9ns,4437
tests/automodel/loss/test_linear_ce.py,sha256=41SG3L-fKJShFvjZkxrygh1_9pY8fMbvz60sWV1K748,3579
tests/automodel/loss/test_masked_ce.py,sha256=26bvzYiTNoyXam3bDa1A7pOcVSXjCUNwMJ3yXv05jbE,2775
tests/collections/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/conftest.py,sha256=d5xW2M-9_fxsfGL2Lwve1H_t4l8RVgnn6X7fO1wUGNk,15570
tests/collections/asr/test_asr_classification_model.py,sha256=SJavFpoJkJldGiM9xnLdeefQmfpYvpV4oDnSTxCbVMg,13624
tests/collections/asr/test_asr_context_biasing.py,sha256=2GlHS0cK18sKQsVe9jWVbDZfyXk6pJ6Kw1byUFnkXyY,6027
tests/collections/asr/test_asr_ctc_encoder_model_bpe.py,sha256=7XWniaatKnID2zTT8NAkQa_x5s7cAoC3_0aThq_Sc-I,16865
tests/collections/asr/test_asr_ctcencdec_model.py,sha256=DdXNuG6xkZouPfKFh4Sbe27XYQ5q8uiXPkCwq47ChI8,12991
tests/collections/asr/test_asr_datasets.py,sha256=Vfe2VNx9EWbKfYwBIn23DchWZGcO_LcsGel7bgkBA8M,35064
tests/collections/asr/test_asr_exportables.py,sha256=TifLpwPh-9-79Tvkpj9MNu9lnqRyv1PuAqEheRFaEWY,24992
tests/collections/asr/test_asr_filterbankfeatures_seq_len.py,sha256=5c_3dgKKT0q6MfaQtaemS0xMiWirWtXeKR00rZVQ-ZI,4328
tests/collections/asr/test_asr_hybrid_rnnt_ctc_model_bpe.py,sha256=3ka5OcRraICxUcdzU4eqOKsYBpl3QI2xNNNqgcNJs7M,15423
tests/collections/asr/test_asr_hybrid_rnnt_ctc_model_char.py,sha256=kjdwwrszlXNK_u4sLxAxFHjsnlQZxm9TS4aki6NuwqI,30265
tests/collections/asr/test_asr_interctc_models.py,sha256=wMp4iAgDpL8OeDBI8US2nAA3Kq4gqapeoQL_jizasD8,11453
tests/collections/asr/test_asr_lhotse_dataset.py,sha256=RIObNRbtFz-tptyZyhe75PXN4t0HAvNu16XWqoKGBlY,3904
tests/collections/asr/test_asr_local_attn.py,sha256=MbITPJiyWE5eaBPRl5kjMO_16paueQbfhN0LK7VgSkU,7315
tests/collections/asr/test_asr_metrics.py,sha256=KVRJg9XdGBFui00eubtPF8qFiE_IesaFlAGJV-EYiuU,83575
tests/collections/asr/test_asr_modules.py,sha256=CJkuDHYQP8BfYhlQa7oJ3rkt7KW5gwIa3dWX97I5OJc,15415
tests/collections/asr/test_asr_multitask_model_bpe.py,sha256=g1C0svfZYZYR8_2crgO2fzMlBaFBVUxNZ2I4MeJznTQ,39469
tests/collections/asr/test_asr_parts_submodules_batchnorm.py,sha256=5Ed4oayWXXjOwxxEzByDf0SRTawbTpWULvF1U1XKo2c,3787
tests/collections/asr/test_asr_regression_model.py,sha256=mbY1g01wxqi_SXeTckuira9IY1g_PBJOKbTH_Poa-2Q,3242
tests/collections/asr/test_asr_rnnt_encdec_model.py,sha256=I-444eO4ncKLr_-Tz12cjbXoelA4QH2hXag-5HfjftU,51054
tests/collections/asr/test_asr_rnnt_encoder_model_bpe.py,sha256=tS-7iQEQpUAe6FdIekovfnB-aAlCCJtgaDf89Cq9Guk,15267
tests/collections/asr/test_asr_samplers.py,sha256=DzMa84unGds9bSvK8UFpSW_llswN60eA4AhPr5JBqSI,5717
tests/collections/asr/test_asr_subsampling.py,sha256=smmQVUR2S-a1v7Chh8SbcsKLh9Cr-CGCHiufCS1ZdxU,2591
tests/collections/asr/test_boosting_tree.py,sha256=wj4HuJ_3qLp_2W64zEI6AwiEDa-Wxiy6GVW3E1Stw4I,10349
tests/collections/asr/test_conformer_encoder.py,sha256=M4ez2L2Mo6OkkXrVg4QHuSAxt_zOAusfQ-cUyJgjDRk,9045
tests/collections/asr/test_custom_tokenizer.py,sha256=hRsek1XBz7XcU981v3d74iHAMga9r8H5oSlL_YOXkJg,3628
tests/collections/asr/test_hybrid_asr_tts_models.py,sha256=SAtcbSF3pyPJDNgF0JKV8-MO8IkZu_PBEgAfkVvpngA,7724
tests/collections/asr/test_jasper_block.py,sha256=_XLiexGShvQkkroRA3e9-qg1qPTispNZOs70Wf_jxls,14668
tests/collections/asr/test_label_datasets.py,sha256=MP0xE-Cm22lY0VQQ5lujb_IJE0OIiT-8Po_Q3HfC1bU,7054
tests/collections/asr/test_ngram_lm.py,sha256=cXU_CCBqByfVvPAetuKDgkQcP04IN4JpnwAE0YDDIrU,9536
tests/collections/asr/test_padding_and_batch_size_invariance.py,sha256=W97AHIXrGNkfPJpNwPac7JUbhbr9dxpjbYqH_52rlIY,5185
tests/collections/asr/test_preprocessing_segment.py,sha256=PID9pwBMyaOmZ7YFwuQWNRo215IL5THF3V5lOwLbXYU,22515
tests/collections/asr/test_ssl_models.py,sha256=hy3UsNHOUqWSkCKI26x6k8bOo81X5vhN4BMO_05R3_E,15702
tests/collections/asr/test_text_to_text_dataset.py,sha256=G0jr3h7jQ2DkMSzysAT1LTFyc3ehZoP_n8A3MqhgCec,7350
tests/collections/asr/confidence/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/confidence/test_asr_confidence.py,sha256=Iv-VLKswdtYDx_pZfnsWhqUkg3esL6olIryGxpjdKdg,5934
tests/collections/asr/confidence/test_asr_confidence_metrics.py,sha256=0B8UbRqI_u9ih020JpniBNyt1lR68DhTf9jQYhQR6yM,4129
tests/collections/asr/confidence/test_asr_confidence_primitives.py,sha256=X6oprf_aL7MjBobUSF_35lMPuChSPCg3p-eeza5EzOw,5731
tests/collections/asr/decoding/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/decoding/conftest.py,sha256=d6lO9PV-oQaXmQAbWP3AeOBoOcNyV7G57oPwdBMhir8,4956
tests/collections/asr/decoding/test_batched_beam_decoding.py,sha256=_v6xZJrl5L7xNTowQu_4DzuvgXSz0otlUdJhNySrYdU,33773
tests/collections/asr/decoding/test_batched_beam_hyps.py,sha256=W6VcZ8rY7M_qZRyM-TRkCkdvr0E9cTDmiLhgxBaLwQ4,55779
tests/collections/asr/decoding/test_batched_hyps_and_alignments.py,sha256=bPczKNO14CoHV-0K0hZEy8CLtqp6_u7X0WRIOVcU-n4,21928
tests/collections/asr/decoding/test_ctc_decoding.py,sha256=GXtQWtRS9gapjLPNYdgcpaBxJf9ecYK22d2xsRvdsE0,19203
tests/collections/asr/decoding/test_cuda_graph_rnnt_greedy_decoding.py,sha256=SBWZE9r7gyl1a4Hd3ixP8ncL9hljIiEMa8fCn4FA5z8,11028
tests/collections/asr/decoding/test_multi_task_decoding.py,sha256=gcOEZ6BKLvBT-I-w9XnpZQzZoTd5Y-hsSLJ8_ypTqZE,8606
tests/collections/asr/decoding/test_rnnt_alignments.py,sha256=PqSaFOh-1El4AKayW_Iy3rAjXfd1a9b0xDsnqtfum6c,5228
tests/collections/asr/decoding/test_rnnt_decoding.py,sha256=g9s4bsxeOAE8F1G3LllBITHbZqIURky6_EmekXIlC_I,24009
tests/collections/asr/decoding/test_streaming_buffer.py,sha256=To56QpB5y8z-8mWLpuAYC7W7knsorWenXgY7xCw2XJU,8569
tests/collections/asr/decoding/test_streaming_decoding.py,sha256=9TLXesuR7sgKAW-Iry_I80Yu-BifWlxPJuSUmT2TjG0,22211
tests/collections/asr/decoding/test_timestamps.py,sha256=0LsAP9tVytxXOoNmNTnpA8QeSD3V5ljIlW24F2sKaB8,12510
tests/collections/asr/decoding/utils.py,sha256=DxbDNF_hQyvBWi8t5U-L7_248HgmZOaP3gi571Of15Q,1963
tests/collections/asr/k2/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/k2/test_ctc.py,sha256=ZSAerplxjgGbuy3BAU6lwpo4g9R00YkUrEvLxwAonC4,13091
tests/collections/asr/k2/test_graph_transducer.py,sha256=qAbAOlQfFTIMdEE87qQnPHOUXEul8uUr_ylszH0QTyE,16634
tests/collections/asr/k2/test_rnnt.py,sha256=a3hLAEvX37dY4mo7RrlZRbHhFceNe9fjynR6Osm0ojk,14686
tests/collections/asr/k2/test_w_transducer.py,sha256=mUjYQb3irs2PnzE0nU2-5tQK5I6_XDgnJ4guvPv5muM,12768
tests/collections/asr/mixins/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/mixins/test_transcription.py,sha256=ogchItBOddR0XzbRdVjScEZLyLQtoduzqOeN_Oe648M,17696
tests/collections/asr/mixins/adapters/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/mixins/adapters/test_asr_adapter_mixin.py,sha256=EtyEXTGLRyO8Ej5DtRm3W-_-ab4sP1fYOEvDXZxJkO0,31589
tests/collections/asr/mixins/adapters/test_asr_adapter_modules.py,sha256=HeMtvbGDIP-JalExHfF3vGi3gZTa1VUh61QM0nqLHJQ,13696
tests/collections/asr/numba/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/numba/rnnt_loss/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/numba/rnnt_loss/test_rnnt_pytorch.py,sha256=QqgqvgaTELbSNzV0mwulmht92iv62N1SOFSxlgzFIVI,26622
tests/collections/asr/numba/rnnt_loss/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/numba/rnnt_loss/utils/test_gpu_rnnt_kernel.py,sha256=6gHW4RRldpO2BT7tBMyLrNnv9JCHqHOZ7hsfVgoLZ-I,27225
tests/collections/asr/numba/rnnt_loss/utils/test_reduce.py,sha256=0_Ns36Pu88FI45xNCxQOon18G0OI76HQwvizszY1Emw,3396
tests/collections/asr/numba/rnnt_loss/utils/test_rnnt_helper.py,sha256=NUnJLyYEicSbK452pTUwEPcyVSg6CjMbmBknCvortFU,13620
tests/collections/asr/numba/spec_augment/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/numba/spec_augment/test_spec_aug_numba.py,sha256=Iva-MOcAAuoPKDNNnD5_chnZdFEhvsoXXMc0S5Cgf1k,10243
tests/collections/asr/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/asr/utils/test_chunking_utils.py,sha256=rame4wQB7c5tBb0XwkBunWGq433G0b1eCApr9AsMTHs,7040
tests/collections/asr/utils/test_data_simul_utils_asr.py,sha256=0EjdFdXGVje2BrFfEVgSONmIQS9NYvEkMjet0_4yhx4,22067
tests/collections/asr/utils/test_vad_utils_asr.py,sha256=44hKgfdeHi6CM3JVDNjU3P6oIvA2MN3TxPaJ9vL9uJ0,5768
tests/collections/audio/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/audio/test_audio_data_simulation.py,sha256=oD526aYJonZzxm2K-L8L_dyfB25u7Olrzxhbb8Dno28,14873
tests/collections/audio/test_audio_datasets.py,sha256=JRCGP8Ma6Cbo3VLkf8V71x2dJeAigOca7QGVwVHOOPE,49925
tests/collections/audio/test_audio_losses.py,sha256=ZQQNBlxin54gKFYWLbf2F5LSGG8gkUtq7sps9eltSXE,42430
tests/collections/audio/test_audio_maxine_models.py,sha256=KO6EXU2BxaGg0zvwDVROflJatfiDiKSdPNBzycAyFj4,3893
tests/collections/audio/test_audio_metrics.py,sha256=so4DoLg-gUnrQVPlDXsIGYW8tgj2A1i4Jzihde3aWbE,10150
tests/collections/audio/test_audio_models_flow_matching.py,sha256=bB5fo6RlciCDE1XOawgP3bXz7obn585EgxutJ6-wC2E,10003
tests/collections/audio/test_audio_models_mask.py,sha256=Iqyku8BxEH-Ks7scGc7QQi22AQn5f9H99MExaZMkHM4,17223
tests/collections/audio/test_audio_models_predictive.py,sha256=W1-puZuaYQK7ahRN5y4Q6w86Jz2tGS8Ov1KxBS-HH1Y,25910
tests/collections/audio/test_audio_models_schroedinger_bridge.py,sha256=1f-txh6QIx25LvjmQKYWTlnkwIAS2ghNL_r77HOgR6w,10987
tests/collections/audio/test_audio_models_score_based.py,sha256=HDfyc7Q7EdjXVGvdxH_Y1YB3F2F8-O4GOVgk152kGd0,9205
tests/collections/audio/test_audio_modules.py,sha256=NfBCRcULMZYAmbjS6NKR_Yqiem2RBjEgjW1NNPVqHEE,24765
tests/collections/audio/test_audio_modules_projections.py,sha256=rj_lW1MJXb_x_OFNe2lSFJveGd4I_S5C5s53EHfqARo,3843
tests/collections/audio/test_audio_modules_transforms.py,sha256=JHbwI-D0_NA0os0BzfXLFdKV9vn0YuRiZKyS70EI2KQ,15467
tests/collections/audio/test_audio_part_submodules_multichannel.py,sha256=P339BPYPQ0OpBLrzdWhmCjw36C27F_K4ZrYkE7BQXqA,5504
tests/collections/audio/test_audio_parts_submodules_backbones.py,sha256=GNjUEOS2NtIJVoOkgx3jiIcvAq1SnHtCqqt81HKvVYM,6420
tests/collections/audio/test_audio_parts_submodules_flow.py,sha256=I7vsaZctoCj5OtjOv9ILFuHm48C9SZgOfEfE_ePPVpY,3398
tests/collections/audio/test_audio_parts_submodules_schroedinger_bridge.py,sha256=jNazSY08SRdtqt_q6911dLlp5dcHw_f75aP92lzc1VE,2439
tests/collections/audio/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/audio/utils/test_audio_utils.py,sha256=gOYe9paQd8QfeJkhjaslGgHz7eZu6LNNVsgsyG35PrA,19616
tests/collections/common/__init__.py,sha256=mvOz2EmnBZOTPbl8OLde7ABBHooi9Y7NTONT7d-QVoA,610
tests/collections/common/loss_inputs.py,sha256=DU6R9YlcratvtZmnHNlhNpE499VPNNUkOFouCPbuJN0,2626
tests/collections/common/perplexity_inputs.py,sha256=3o3QIk4c9zLGUor13NKi24RO6touA8G_20_cfFia2Hg,1855
tests/collections/common/pl_utils.py,sha256=cBvKcIR3MAvDSv3-yr5d2KWtp0FlLtowGNR4Own-Inc,22424
tests/collections/common/test_2d_bucketing_constraint.py,sha256=4A8jaEvkDOH14ePjNh8uxIKaJ8YSrD4ev2CFDhRU4zk,10803
tests/collections/common/test_apply_chat_template.py,sha256=n7BrSUP3jngaykViwVy5y6UGUXi49IIhGVTMtuf7RmE,1845
tests/collections/common/test_data_utils.py,sha256=vJM6_mLZoqgOzZvDz2mKWuvD19lyl3NMWPOcCXAfLNo,1604
tests/collections/common/test_ema.py,sha256=kSYHsvuWmuEacP0dCG325lj0S9S1K-nMgD8CAzKozm8,18310
tests/collections/common/test_fallback_dataset.py,sha256=SrgWNXGf3MCYSyqJd2u2SOK-9xAz0Pd73sSh5stwrRI,1316
tests/collections/common/test_lhotse_dataloading.py,sha256=bYT3N_B5oHdWmp26BBWbceH5zbwECBuxhyCiEdGCXrM,92756
tests/collections/common/test_lhotse_multimodal_dataloading.py,sha256=6S--ZMl8kdH7IusvvOlRTcAHRjmzuO_pcmlrYz3QeSI,29861
tests/collections/common/test_lhotse_multirank_rng.py,sha256=XimWpKuaRKqkMntuDcG-FpsE6V_Rs_vUCd6SYcgr85Y,7135
tests/collections/common/test_lhotse_nemo_adapters.py,sha256=OBMHRRRnCYx7tQSdGb-UREIVu204GBzcAGaz_Ngx6mI,9275
tests/collections/common/test_lhotse_prompt_format_data_types.py,sha256=4jACNWZJFu8-VUFb3NU3Rz2MQehouVYtoG3GN9gHL0M,9256
tests/collections/common/test_lhotse_seqlen_filters.py,sha256=CsVwa8l5n5RZc-jh1AS3Q-cO1eVq-eWdDZO2IAQsiig,5699
tests/collections/common/test_metrics.py,sha256=SYChJVFeJMl8F6MbvZIO_3TV4e6fOhY0dkYz09uEmOo,9570
tests/collections/common/test_optional_cuda_graphs.py,sha256=nNyqUHqH2wWagWC4Q47D10QSv-MAnz8zZnzI4mBCUmM,2901
tests/collections/common/test_perf_metrics.py,sha256=6_nC9bfjm33CT_7Ijzp_rAXtwmVsT_aGQn1I8eY1NlQ,4793
tests/collections/common/test_spc_tokenizer.py,sha256=aQSSzbsabQfcUttStMBR_Fr8b5kZ85PL1ltXScyxnXo,7319
tests/collections/common/test_utils.py,sha256=omXxLv9J--i0ahbE2KPz4kNMRVSYs-Kb1X76DFIWCZE,16157
tests/collections/common/mixins/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/common/mixins/test_adapter_common_model_mixin.py,sha256=3iMJJkD1akc6UCzD3oW9tSOrtgHo0RNh61YTuR43o4c,5602
tests/collections/common/mixins/test_adapter_modules.py,sha256=pzHsD3qOwXqJd79Bf55t2j4bvQjDTvFsDARgQbhQuB0,3331
tests/collections/common/prompt_formatters/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/common/prompt_formatters/conftest.py,sha256=N1NDBqo6wSJQnMOUOO95iLoBTAHQEmcIKq-RKo4s1_I,2507
tests/collections/common/prompt_formatters/test_canary_prompt_formatter.py,sha256=YCW6F97hBmKV3wG22AQtz7fTrbKfqJ34x70CsrpuIjQ,2606
tests/collections/common/prompt_formatters/test_gemma_prompt_formatter.py,sha256=COcaUC8XUbhBgWQTVdar5fA2GKX2BfHOdwco3KD5C0o,3339
tests/collections/common/prompt_formatters/test_llama2_prompt_formatter.py,sha256=8jxOW9kVjWnxr0OqVfiqq3EEMRAEUa_qWu-v2c5vcBA,3276
tests/collections/common/prompt_formatters/test_mistral_prompt_formatter.py,sha256=0YKUcsrMzuiiAYu14LyH7CKWKYGjlZCa1zcx0_PBiCc,1906
tests/collections/common/prompt_formatters/test_nemotronh_prompt_formatter.py,sha256=KlGQF44KXJEb-m9pnixKsE69SYnsleTkM8YC3WURk-s,3709
tests/collections/common/prompt_formatters/test_prompt_formatter_api.py,sha256=1DU91bUqZ5IGva1HwQeFTLBuim7s9KLazkzwvMw3SJc,6947
tests/collections/common/prompt_formatters/test_qwen_prompt_formatter.py,sha256=r-Xhx-HfCJA0F_y2R-4DUE8f3QoQ8bMvH8-Y-jPs4iY,2231
tests/collections/common/tokenizers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/common/tokenizers/text_to_speech/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/common/tokenizers/text_to_speech/test_tokenizer_utils.py,sha256=2dxKAL35Eay3Mypci-YLbIWZfX3oBsj5RRlN5J8OhPc,6090
tests/collections/common/tokenizers/text_to_speech/test_tts_tokenizers.py,sha256=uDqKty4D3XP-A8wxcihrWOYj8vX1irTuGgEuik2rqd8,9673
tests/collections/llm/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/bert_pretraining.py,sha256=gv1V3zvhDdEM2cSmBgOSbxXBHm8cS7HOaeLwUVz3ODA,3922
tests/collections/llm/common.py,sha256=EllYiZMOp4aM_6z9BSLTlN3NJzCbwnD1EZaYbjtV4oQ,8956
tests/collections/llm/gpt_finetuning.py,sha256=f1NlXp4MNKmHPAZ-A5P4gDSijy7MNK3Lc5oKMr7CqEY,5606
tests/collections/llm/llama3_pretraining.py,sha256=FYfcRpnn6rccwNb_zul66KOoo-B5pDF80-FNm71WFvY,7801
tests/collections/llm/lora_mistralai.py,sha256=5hEMq3WG1a-VuYBRW9eDLLpHuEXPvSt1yGWLAKayDiU,41904
tests/collections/llm/megatron_gpt_pretraining.py,sha256=xg82e8xZOp7KbmwA50zGNxSqWdTvCBie9S0Tdp4QXWg,5251
tests/collections/llm/megatron_mixtral_pretraining.py,sha256=nNSzvI3L2GoFExXrQ7jEDmSEpq1tq4t6bZvWqQ4x6og,14179
tests/collections/llm/megatron_t5_finetuning.py,sha256=JzR5Pmhi6NQYJuvPl6x_2tkP9SoGmJ5qRT6ylwNCrg4,5108
tests/collections/llm/megatron_t5_pretraining.py,sha256=VU1cgwVH8-j52JocoBeR9zEd8KS41bh0pBQEC2-Szhs,5801
tests/collections/llm/test_api.py,sha256=POjSYgblODQ5BRyGzRwJ1QPmuEoEHNpYD4AD8UQixAg,8051
tests/collections/llm/test_fault_nvrx.py,sha256=ylWJDbYStkzaaRNYXrnE75ZKUdG8moz4toRnknmei-U,5347
tests/collections/llm/test_hf_import.py,sha256=_iXySqmG0omG9-iF6AxAmBaHID2hdrBzFuSoGssmFH8,2621
tests/collections/llm/test_local_ckpt.py,sha256=3ftlTQ9FJ7KMNb57JrV9HdLz0kEjJ4233SAfGlc2SXI,18970
tests/collections/llm/test_mnist_model_nemo2.py,sha256=FB62SaM6lIM7Vu_XQkKfYaeuru4NhBQWrsHplNiUF6E,25685
tests/collections/llm/test_mnist_model_nemo2_fsdp.py,sha256=OKJ_pt32qyQS_9Tua-liKhdhLtV57HRYhVhC7_PUw9M,25781
tests/collections/llm/test_nemo_jit_cb.py,sha256=GeMGMjmrGUb8hLoHDprb1dCJedfKhmyLw1e0RFInTwA,6122
tests/collections/llm/auto_conf/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/auto_conf/test_autoconf_utils.py,sha256=esK2k6BQVWPSQFCvE5b9MaiYEJQWIHm-Vrzq3alEGN0,15987
tests/collections/llm/auto_conf/test_generate_configs.py,sha256=vNrDg2lcMBuBE8B14INRTq9mc07tnry2LSnryDJlpDM,13299
tests/collections/llm/bert/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/bert/test_loss.py,sha256=ELwA_LCEso8QzVlqp2As22dhs-ekT_ashOG0fNFHp4c,6295
tests/collections/llm/bert/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/bert/model/test_bert.py,sha256=H0kGoS3WN9ZaJL6XSvJnWM4ITQ2KCkV7qsep-Yjjp0I,7575
tests/collections/llm/bert/model/test_bert_base.py,sha256=wwBYr_008F0YeTpIN7LnC1YglLgJ43fdtdb3VDkQZXA,5956
tests/collections/llm/bert/model/test_bert_spec.py,sha256=OYjcDE3GF9PKjYX9fJRicIq61XRL6NSblvAaKJYRaAc,2421
tests/collections/llm/bert/model/test_embedding.py,sha256=nyyesh4ZYmoHsG-OS67bIAiG-HkJIc2enAskBfwd3eo,8916
tests/collections/llm/bitexact/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/bitexact/mixtral/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/bitexact/mixtral/compare_ckpts.py,sha256=eWeKhUBe-ROpeYpMzJVyvg0qN1D_1h3P_WiMmE29VR8,2678
tests/collections/llm/bitexact/mixtral/pretrain_mini_mixtral.py,sha256=SWBfOzljOWMp-gdPnFY1Xe4MAXmbbIUaQwZWKiUFETk,5923
tests/collections/llm/conversion/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/conversion/test_export_to_hf.py,sha256=BouuEdyDNDKPzAwOTXAy-Cgtk6MWYcxMHxnAbzPKvVk,2562
tests/collections/llm/conversion/test_hyena_import_from_hf.py,sha256=cP4vu_ibYdMCJPpPbn01wOueJLl0ReB-9BGSFhsDG8c,1489
tests/collections/llm/conversion/test_import_from_hf.py,sha256=1J_c7a96dSyu0poY7X3vrTSKM_1bX9WebvDHwuLQodI,3539
tests/collections/llm/conversion/test_nmh_conversion.py,sha256=EBT1imO8MlcttszdwuzhaBdtnRpwQT2o5dBrpaMHN4M,1521
tests/collections/llm/fn/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/collections/llm/fn/test_activation.py,sha256=RNHlBAR4woqKqq8qFp7jPBSF64N8Q1ylfa8gV64OSSk,5517
tests/collections/llm/fn/test_base.py,sha256=4u5SPVjmhoUcf-gh10_btklUmV7vI1kY2AjcfFAvOwI,7974
tests/collections/llm/fn/test_mixin.py,sha256=NchqxMFQNfSlLCq1WaBDqwoMsChositD0w-iX3d6DKM,3020
tests/collections/llm/gpt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/gpt/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/gpt/model/test_baichuan.py,sha256=RL1xDyc6zPfVgEtuhbK30vJjMRcsZIpurbyHiGpO6t4,1561
tests/collections/llm/gpt/model/test_base.py,sha256=aynU2fOnRYrnhGlqb8yiTJKvq3htpkzjt3znky5YExA,2294
tests/collections/llm/gpt/model/test_chatglm.py,sha256=MRJ3Zox6wF9gbe_fieRB8-KJIWyrR9jHuYs1m_bn_oU,1804
tests/collections/llm/gpt/model/test_evo2.py,sha256=9cuJynjWXMZO2hAJTSNO72m9Y-825dGzwT6fK7GAbSI,5552
tests/collections/llm/gpt/model/test_gemma.py,sha256=rEZzR1pjdhhF7_Puw7jgBcbbzkK109GgUc0xeGtXpu8,2453
tests/collections/llm/gpt/model/test_gemma3.py,sha256=-DYJQUGkVxUKUt-Is5G8Z2cdQkE61JbGpO90Ev4hM1M,4640
tests/collections/llm/gpt/model/test_hf_llama_embedding.py,sha256=Wll0DUOtrav-aVlZ9WmF3kYvN8Ku8UE8-kWKSjzQyr4,10252
tests/collections/llm/gpt/model/test_hyena.py,sha256=f12TAOK8BHy_dUlVYzML6kDhrjXYmX_8CPAWWXU5zTQ,27680
tests/collections/llm/gpt/model/test_hyena_accuracy.py,sha256=B-rq_VBsLsFIQGSUdX0Zwpmz9tYwvGkvlNpu5PxO7Ss,13525
tests/collections/llm/gpt/model/test_hyena_mixer.py,sha256=DARtArALgOLE-LTl-srsobTfBLOchX3wbYZJmSDYZtE,8952
tests/collections/llm/gpt/model/test_hyena_mixer_cp.py,sha256=lOgjbnU-WcaujOAgiDuYQQ3mtU5x5LuOgDK_UTR2SBo,16755
tests/collections/llm/gpt/model/test_hyena_mixer_kernel.py,sha256=UTFV-VazB-7NKZjsxgcghQykNn0u9RmBFPX9rzc9tGo,10458
tests/collections/llm/gpt/model/test_hyena_operators.py,sha256=rGSPWcGXhZK84YsdxsLXxWfVPiZsFJ0fkCGU5XOfU4Y,19552
tests/collections/llm/gpt/model/test_hyena_utils.py,sha256=QDs9JDenfzrw70lK1f83suRCZ1c0K7e6iN2r3LKynHo,20600
tests/collections/llm/gpt/model/test_llama.py,sha256=nwBAxuuDhIa8gDT1sfO7330AF_4Aj7CRhMpBj7QE3A4,6218
tests/collections/llm/gpt/model/test_llama_nemotron.py,sha256=I8U8O_gwjInyGcLeAb6pYiRkwzfNd_X5FNVY80KCx_w,4179
tests/collections/llm/gpt/model/test_mistral.py,sha256=VwsKpciNRpVtk3pj0zAD48rA_5OK5AHCX039tqKrd7c,3420
tests/collections/llm/gpt/model/test_mixtral.py,sha256=WgF3uG3h0b3tvvawg_lvpMeUtOC-qJTReQUWNE8fOW4,2962
tests/collections/llm/gpt/model/test_model_import.py,sha256=CAKWkwzrGM-Z-VWitLOUKc5Ysh0FxXpGTnMTTtVSs38,3868
tests/collections/llm/gpt/model/test_nemotron.py,sha256=0JpOC-T6-JAV_tXKi5WNv317cO1Pe45kXo2xtam2bwg,3784
tests/collections/llm/gpt/model/test_nemotronh.py,sha256=Gp76AT6a5QgNzKVfA-v78znbj9FHqKV-SdCZTttxuA0,22126
tests/collections/llm/gpt/model/test_nmh_nemo2_mlm_accuracy_match.py,sha256=AW8VGQLDmyiLj7W3DzaGh2pdNirrTf3fsNx5-NpH0Tg,6540
tests/collections/llm/gpt/model/test_phi3.py,sha256=_7pdt7Z6QCydFDVg2pmUlVTOzRU_IeM_EHNdDyNMgHA,1677
tests/collections/llm/gpt/model/test_qwen2.py,sha256=CrLtwWk42T7-yaNCMt7IZfy8CY0WPFUL-MlWlEFEr9s,3006
tests/collections/llm/gpt/model/test_reranker.py,sha256=8hO3HwD4NPm9fEzF3qC9AlDmfX6ZA23DuQwnZYIvoYw,5759
tests/collections/llm/gpt/model/test_ssm.py,sha256=93yuR8j7m6G4nWUYYAY9gnqHYMZrULBjPE4nWqFhWjI,12688
tests/collections/llm/gpt/model/test_starcoder.py,sha256=wWA4VQgpJFZxYmG8zzP_2eiKJS-7PNBQ628qhiuo7AQ,1818
tests/collections/llm/gpt/model/test_starcoder2.py,sha256=rpQ5RAAqg5hBSJrxjHYfCHs1EQdbXQSvyxhcRIAjoYM,2762
tests/collections/llm/hf/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/hf/_masked_cross_entropy.py,sha256=yJzR5FsSTPIDF_QrhFGAC79rKtaLjJYB-5ZlENjbIo4,3046
tests/collections/llm/hf/peft_hf.py,sha256=XT0qE8q2vymNtOlkHSGe-6CukaCrnQWhdZX6k38xma4,13348
tests/collections/llm/hf/peft_nemorun.py,sha256=RJ3rwBXvnJwa9QYaPczz_37mNkEOpoRenCqjMeRvjeE,2753
tests/collections/llm/hf/pretrain.py,sha256=FOcKtYIdpyfVL_hw0UQTqmAodNBXtO0x_O3TjN1gWAA,4826
tests/collections/llm/hf/pretrain_nemorun.py,sha256=CVJTcu9nmqYiVmBL3njTfYpFcV9XNnYWoJ1XSpMb3Fw,2643
tests/collections/llm/hf/sft.py,sha256=0quUbIaIjku1w-RLJDA7LeiQ3KpiCEdZJ4LjENkfUrY,15908
tests/collections/llm/hf/sft_fsdp2.py,sha256=zj-NHZNJtG0_7LiwtXb8DibjHg1U8fFRpg3tWM8l-Dc,5709
tests/collections/llm/hf/sft_nemorun.py,sha256=hp0tCgyy6H3hkgZOZ5ndR-gYQ3q-cQPunSLurSc_hP8,2607
tests/collections/llm/hf/sft_nemorun_fsdp2.py,sha256=zJqrVW8f0MHWxpdsW9d_g73dXKAy2LCEHO-hx_6JdF4,2978
tests/collections/llm/hf/utils.py,sha256=w73vzpVeNc5mjy1B54x6vaDbcMOun195FtowAfVDTMI,869
tests/collections/llm/io/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/io/test_drop_unexpected_params.py,sha256=QLwv15cJ60PLqo4TipMBrtTJatvcnjdCtwDsyWrCopk,2860
tests/collections/llm/peft/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/peft/lora_export.py,sha256=SMXfLMC-FwNqKp1r9fI2uibPfD7sfGs-ltX6-QKenmI,1193
tests/collections/llm/peft/lora_merge.py,sha256=ypjziPjd8B2rg6cFs25rDtxb6mMIHD4XyDEYishUjjU,1301
tests/collections/llm/recipes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/llm/recipes/test_baichuan2_7b.py,sha256=3hVBStPfErp7TD6sq3Z46isc3aKjZXrI9mc9ZIaxqqE,7302
tests/collections/llm/recipes/test_bert_110m.py,sha256=n470YM-S-T9WZMFvu4e4CNEsjpR8k_3tThkEDOoTVgM,4609
tests/collections/llm/recipes/test_bert_340m.py,sha256=7p5zCNgg8jqFCc90zkuBqzIkJDYOpjqAqRylC2U3v9U,4609
tests/collections/llm/recipes/test_bert_embedding.py,sha256=SM9nI34CPoLz8Pra0sYb9Mvz7cpo4VMoXlXC7uGezZ0,4955
tests/collections/llm/recipes/test_chatglm3_6b.py,sha256=Gy1kbFVV5ThR8wfAyQ9NpTkb_Jk513H04do32HtKbQA,7270
tests/collections/llm/recipes/test_deepseek_v2.py,sha256=LOKTA_F8keOaXJMN_YoQWNKAvyIsd5r5733lqxGW6cY,3949
tests/collections/llm/recipes/test_deepseek_v2_lite.py,sha256=GOOg7YXqL6L2gdozpYoDV4xwK7Ix0wSRLSGmVdb9_Oo,3922
tests/collections/llm/recipes/test_deepseek_v3.py,sha256=nNXGuLCIUrgkvpEw0Xs_0WeYmoVsEE4zj2oF1tRFmrA,4800
tests/collections/llm/recipes/test_e5_340m.py,sha256=mYhZOvA4DzfY_nuHOy5pQSq1LpVt1Hyn8tPAyQxhrho,2967
tests/collections/llm/recipes/test_executor.py,sha256=Z-rZAjm4JYL40CRsOA3ylPcqemjz4S8vIgKwOFEe6h4,1661
tests/collections/llm/recipes/test_gemma2_27b.py,sha256=f1Y73U8oz52WH06SvbpqjfZ1hSf7zeGnHev85zH_gpU,3938
tests/collections/llm/recipes/test_gemma2_2b.py,sha256=ay-fq513xr_oG3OM4YVUjhgDPC0txA5NGrbh1oTSLnM,3642
tests/collections/llm/recipes/test_gemma2_9b.py,sha256=QnJ79I4RmomP-fv7miU8dUMjay0vRCzkC6oVNE9ijCk,3713
tests/collections/llm/recipes/test_gemma3_1b.py,sha256=UZEL4xLwfIkoMpe1YVnmySJ5h9LDTKdnIQMTexG0wDs,8572
tests/collections/llm/recipes/test_gemma_2b.py,sha256=lI9yV4wUh4sDP4QhZht09brZ8ZEKnvo90l46BcuWkTA,7140
tests/collections/llm/recipes/test_gemma_7b.py,sha256=ZtUKBXsIDtufaL6xNDIUY_SbJcl2EORP0-Qk3yxBXHg,7232
tests/collections/llm/recipes/test_gpt3_175b.py,sha256=eACjviYoVsh9GDYw5iSOd9TMN5mEZJUNamxGMo37XkU,6759
tests/collections/llm/recipes/test_hyena_1b.py,sha256=zJ7ohxwwo8dsBAwAE4SmRGfdfa3pb73c9t_CmAFt8Ng,4020
tests/collections/llm/recipes/test_hyena_40b.py,sha256=xN6riP7Y8Lc7tar9S5jdmay-m7mEAM_3NdAWuPUuLxg,4023
tests/collections/llm/recipes/test_hyena_7b.py,sha256=thvULahh8F5763iCnKNMlY2uhMMKtGBfrUZdVNCIEkQ,4021
tests/collections/llm/recipes/test_hyena_base.py,sha256=QVSIGYl-MLJ1NTzOq6LXt7_06yX_9W_lB5TZ8sedu0k,6849
tests/collections/llm/recipes/test_llama2_7b.py,sha256=762jx_LUqr-IQs7oCM6OHYI6SBGxSsdxzDNXJXC5Yb4,6927
tests/collections/llm/recipes/test_llama31_405b.py,sha256=zHUhvJ2ubHeJEscYVfXfwUMAuej9qsT1QbSw9EPyC_E,7214
tests/collections/llm/recipes/test_llama31_70b.py,sha256=B-NvjrhJzyGN9TSUqR3uti4SaWseozKkqe5ZUAltz8A,7408
tests/collections/llm/recipes/test_llama31_8b.py,sha256=qJpRZHQyNUdUSvtBZqcu0wjxR_wbl-cZON8ijDwsczA,6575
tests/collections/llm/recipes/test_llama31_nemotron_70b.py,sha256=c3Lgi5NofkQTicl4iJewZOB5mqUeOyKQeVEf0HQTg14,5682
tests/collections/llm/recipes/test_llama31_nemotron_nano_8b.py,sha256=1AtAIpcMXJWdkVQqMdMCWg1WmC2ZaTu4Vv2TBHajVPU,7447
tests/collections/llm/recipes/test_llama31_nemotron_ultra_253b.py,sha256=EhkPe26jLwFB4q4DJMs0MRrTpU5pS5bnZrm98BKTpEU,4987
tests/collections/llm/recipes/test_llama32_1b.py,sha256=C3v5JeWUdQjQCan7m5F2HGQ_6IBHHEAEnD_cIaocfOQ,4973
tests/collections/llm/recipes/test_llama32_3b.py,sha256=CRqjkw9o1xSge_-j8p25DlJyFwsQnbNthn7XCLEHpac,4973
tests/collections/llm/recipes/test_llama33_nemotron_super_49b.py,sha256=8YlSp0L67xX9XTJyfhuYySREJofEzBSZ70hHODABKa8,4980
tests/collections/llm/recipes/test_llama3_70b.py,sha256=MuhKuxpY7bk0m68nuRBmj_GpAoUKP_Wz4Cwl32YZbz8,5618
tests/collections/llm/recipes/test_llama3_70b_16k.py,sha256=BQ55owvl7qsosp-9gCHMNk_idr5XY_nMnbVhvQMYYTs,5158
tests/collections/llm/recipes/test_llama3_70b_64k.py,sha256=HhknTyR5vobPW1ioTgxk3-dWGw2i1G_JmMD0xq-49BU,5382
tests/collections/llm/recipes/test_llama3_8b.py,sha256=zg_QecJ4niqKSBElaDsDzrFA__BLMwRIJYsDeQj-ww4,6051
tests/collections/llm/recipes/test_llama3_8b_128k.py,sha256=Uk3vqRWO1GuBJzUR5wxT7mU5N77Wn7til1YTpjxKJF4,5149
tests/collections/llm/recipes/test_llama3_8b_16k.py,sha256=0NGPx35TOW2seiaEprmXdTS-PC-eXrb0mcv9cKoP_18,5143
tests/collections/llm/recipes/test_llama3_8b_64k.py,sha256=JRAxGv8Wu5QfhJISz_AE-uM4t-YYyXoNZ0Z-jppJIag,5143
tests/collections/llm/recipes/test_llama4_e128.py,sha256=8vFkdMDfknt_40-KLhUTxDL6XERsHzIxI3E69_8WDns,8417
tests/collections/llm/recipes/test_llama4_e16.py,sha256=JliZYbzB4DaSzg8oTbzGuUOxofgJekr17nP5J09saMk,8128
tests/collections/llm/recipes/test_llama_embedding_1b.py,sha256=ivbP2_GLHpynqkVKtiaVAhzIrG6Sb3hZn6ZHEed0quY,6500
tests/collections/llm/recipes/test_mamba2_130m.py,sha256=hC12Z9bB4RrmRmv6o8r1Rh62Qt8ZIFiadWDNmEK29rE,4110
tests/collections/llm/recipes/test_mamba2_1_3b.py,sha256=juBkv5714ualYPp6I0u7iPjd4CWrMLXL1L_SdsKr6Qc,4051
tests/collections/llm/recipes/test_mamba2_2_7b.py,sha256=sa0h97VFFv1eso1Bvr23wKj9Ozev0301RIKXLDODoWo,4051
tests/collections/llm/recipes/test_mamba2_370m.py,sha256=8DcJuly-CY5EzWFguE6N_kZ0ErqREqL5N_7U2FShoio,4110
tests/collections/llm/recipes/test_mamba2_780m.py,sha256=4fuXMownJ-qz7BgdaesT9ZS4rq2II7ju6I8XkxCdmtk,4110
tests/collections/llm/recipes/test_mamba2_8b.py,sha256=yZSGVOS2psUccbI-fHTLYAQoFDydHKwgETetm7UCbBM,4104
tests/collections/llm/recipes/test_mamba2_hybrid_8b.py,sha256=6dSBkkCmW8Ar-3AKos40vDYEjtVReErGmo8u6NOebfc,4129
tests/collections/llm/recipes/test_mistral.py,sha256=YcjlVOoG3cVCZYSLNCKeJzQBscaHxgj7VtiBeW9Nnx0,5157
tests/collections/llm/recipes/test_mixed_precision.py,sha256=JNPzgzFHEznEwaMKWNAMyJhFNr2hEUxSOxEj9ff2SQk,5422
tests/collections/llm/recipes/test_mixtral_8x22b.py,sha256=Fp5uDW10msRx1auM4BG8tlNUqCa1-j6_T0uSBg0BAn8,6083
tests/collections/llm/recipes/test_mixtral_8x22b_64k.py,sha256=XYbrZZ33v5m6twNsnu340g8PT5tjkX-0YuSlraMvV5g,5877
tests/collections/llm/recipes/test_mixtral_8x7b.py,sha256=z4cQMfqJco6Ak47cb4_vQQELgHD6HhC3M94LA8RwvF0,5547
tests/collections/llm/recipes/test_mixtral_8x7b_16k.py,sha256=VMxIgLhMcNMFAJRErOY2YPBm1tNDEZMoyktbBtah2Lo,5585
tests/collections/llm/recipes/test_mixtral_8x7b_64k.py,sha256=KcFmi5raEOjAg0tZJyLjK9-DhIpshyIe_SV4mbPpqnA,5358
tests/collections/llm/recipes/test_nemotron.py,sha256=5nD5qnlg54j8JwMkWKVsuUMlNAEo8Cu4s96pq5WKjr8,4254
tests/collections/llm/recipes/test_nemotron3_22b.py,sha256=sLHQT4_9550Jcx7J66N_9JqHD6rg357aDQyNyAOQ32I,2782
tests/collections/llm/recipes/test_nemotron3_22b_16k.py,sha256=4T7a3ofzXylvjeb8IJYRXX2tX_lvGjvNYokT-4h6qRI,4135
tests/collections/llm/recipes/test_nemotron3_22b_64k.py,sha256=WsqkE8VEMCKUhooS5OF4MG3BLqpE387OIl997Lyjssc,4135
tests/collections/llm/recipes/test_nemotron3_4b.py,sha256=6eUka_EK2kzhZ-qCWL3izCOr4wxLk1fcVlZpHaMXrlA,2777
tests/collections/llm/recipes/test_nemotron3_8b.py,sha256=a43EkwGBbuLZXPPYpSiF-bY_mTmbll_35km013JlDbk,3514
tests/collections/llm/recipes/test_nemotron4_15b.py,sha256=HwLAYzVum_M98tAz68hiusTjWVQaNtG5ISFrM8Ih8p0,2782
tests/collections/llm/recipes/test_nemotron4_15b_16k.py,sha256=nOi9Z0nHMw-FTH16J2oumc2CIjtnA7yzHQXH47uafzU,4135
tests/collections/llm/recipes/test_nemotron4_15b_64k.py,sha256=1JipgrzPTd8dQDus3jztvpyLgBf7M7-FrWlwvd2XPfk,4135
tests/collections/llm/recipes/test_nemotron4_340b.py,sha256=CXU3iGhRHu0y4W7uv6whcF6gLdC5J7obTEf_zsApgcY,3561
tests/collections/llm/recipes/test_nemotron_nano_12b_v2.py,sha256=8TGCvBfOMnemiz8tNUxP5vmBhsu3bS60XJvNfxMwLs8,4082
tests/collections/llm/recipes/test_nemotron_nano_9b_v2.py,sha256=4gErRBEOowLjH72nwhqxfK_oVu7HmrcL4ovKLCT1mco,4077
tests/collections/llm/recipes/test_nemotronh_47b.py,sha256=KAmaUYaeN-bCRcrXwwrQjmiDBmfu3iWJ3ZnbHjYVvQo,4124
tests/collections/llm/recipes/test_nemotronh_4b.py,sha256=bzZs0w1vKZyuDBj0wPZfvtoy-37dfag2Z0hyKY-twr0,4120
tests/collections/llm/recipes/test_nemotronh_56b.py,sha256=yKB7GNiLIHIHQ5q9Vp5ilmHWiKRJy5HPEtxCLHYA3yg,4124
tests/collections/llm/recipes/test_nemotronh_8b.py,sha256=7rEkCtK_4-yebxMmP4rbaSjL0YdTse6-9eGY1LQ9O1E,4119
tests/collections/llm/recipes/test_phi3_mini_4k_instruct.py,sha256=fGnfx2w6D09GVrfMaDglKgiOBSKjHnEZ74dtZQOWIzo,5738
tests/collections/llm/recipes/test_qwen25_14b.py,sha256=KJ4ahp56qutErfY2liDYCybVgLhs6xsYqghGQwhSm1E,4016
tests/collections/llm/recipes/test_qwen25_1p5b.py,sha256=EmRSXCBiMSWcahuGKbf7Q1GlZqXqpMI_kbJzxgtnLYI,3788
tests/collections/llm/recipes/test_qwen25_32b.py,sha256=Zqs6RegoJQhhMITWO7bvl9shbGn-JceFzB3L2d22YHs,4387
tests/collections/llm/recipes/test_qwen25_500m.py,sha256=Dt5mEEl-FNy-a-vZgvtRa1E7PYv4V9yQ4AkGjyEsdBs,3987
tests/collections/llm/recipes/test_qwen25_72b.py,sha256=AbWn3K5Qj66-CqTlCBMi0_WjaBhr5EKOgXpghFJ16M0,4580
tests/collections/llm/recipes/test_qwen25_7b.py,sha256=xSBtiL14brftspImwB4q5_dbLpy_eO5oEBpLUQz03gw,3988
tests/collections/llm/recipes/test_qwen2_1p5b.py,sha256=FwRN09p0nD0EgTc87FouEbjSO7RSDQUXC8p4R9HgarA,3785
tests/collections/llm/recipes/test_qwen2_500m.py,sha256=wb7v4LWlZqQw0eJfBD1kDHN6TzwqHYnL92sbizpmfrc,3423
tests/collections/llm/recipes/test_qwen2_72b.py,sha256=xq1DeNFTPH6CNGGmHA1xrTbcmNES8fjHrZwMDai4Ty8,4238
tests/collections/llm/recipes/test_qwen2_7b.py,sha256=aG5aiwERqYx0CwVKJVA4e4tzOxgpe3EQY6idIFdG6pQ,3915
tests/collections/llm/recipes/test_qwen3_14b.py,sha256=UFR4A3oVWZJhi85rLqJ3JiQmHrKF0TzbXExhIRWHNJM,4084
tests/collections/llm/recipes/test_qwen3_1p7b.py,sha256=v2FINgqxeWvU6alKgK33T1uFsJLeuSflWCgXTJLUeys,3985
tests/collections/llm/recipes/test_qwen3_235b_a22b.py,sha256=jj1kVce3HZMB6iU6jGewzQMG2wBXGFH4NIGEocedRL0,5525
tests/collections/llm/recipes/test_qwen3_30b_a3b.py,sha256=gAG_wvGUFsVeqjoYzH_zHYaD_cvMoCRE9Omv3-_8haA,5279
tests/collections/llm/recipes/test_qwen3_32b.py,sha256=wIeP6C1wG9jMlyazzvxb6cdMlXrWPeVKhX6IsGeOIvc,4436
tests/collections/llm/recipes/test_qwen3_4b.py,sha256=jSBf3DWwmnuv0vh-GJeONzXU2loYyXhjnqHVPvza4ls,4080
tests/collections/llm/recipes/test_qwen3_600m.py,sha256=S-DEM5moDiwYIVDIQT4URPn1lxWdfuBW9YbEihbkU58,3785
tests/collections/llm/recipes/test_qwen3_8b.py,sha256=Q-suMcXOSAADgRObI5bK-kA-LaxSeBSf5BF0c3-Uysw,4080
tests/collections/llm/recipes/test_starcoder2_15b.py,sha256=cFL8ln23SrIzfJ17vzBRa0hT3W2P_viDndifGjOb7_o,4202
tests/collections/llm/recipes/test_starcoder2_3b.py,sha256=9SUfiHFVtYXctXZhaR_ubn8mrgEXyPMsesVq-4e1I6U,4156
tests/collections/llm/recipes/test_starcoder2_7b.py,sha256=cWZ875qGOwa7PhaUFFvEf9NP3ZYOQ2Yd_JyvBxXQPKI,4156
tests/collections/llm/recipes/test_starcoder_15b.py,sha256=X3oo63ILgu02xU9DWtZfolLo6MIHnJbr1z43dhUF6cM,5236
tests/collections/llm/recipes/test_t5_11b.py,sha256=plFL7E6B5weZTipWi_BGNM8aV1GqoK2oAsksBErjvIc,5799
tests/collections/llm/recipes/test_t5_220m.py,sha256=e7F7cfz3VSTeZrgvjdn4ltzfsMWAKyvWt0xc4bF1lK0,5747
tests/collections/llm/recipes/test_t5_3b.py,sha256=gGwqsJH1Awn7rNhnfUlnHuoMpDtZG4wuFneEgnJSWMI,5793
tests/collections/multimodal/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/multimodal/test_emmett.py,sha256=oHgt06nH-19lbs1Cxb8AE8-dA_IemlKX047PjHJLneY,8335
tests/collections/multimodal/test_speechllm_dataset.py,sha256=vaYDi2VZfJ4rZ83dhlNfPe61Eoh0KD6WvxQOG0ZUIwc,17371
tests/collections/multimodal/test_speechllm_models.py,sha256=al-CogQjJHp4LTFYqW46-CIInx-68bK2fGsnUgh20Lg,11852
tests/collections/speaker_tasks/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/speaker_tasks/test_diar_datasets.py,sha256=I_XZA1GVbPsulYWqDLlkFicIBU35MbT5yAmSJPdkztI,5191
tests/collections/speaker_tasks/test_diar_label_models.py,sha256=USg0bkksOAnhwxi2WbmcUELfAy2VPPMEQlvHcGaqwy4,7594
tests/collections/speaker_tasks/test_diar_lhotse_datasets.py,sha256=4bOh9VbSJJZLPuuZ8L5JdimEXnmmfioZUjwFItOAnX4,6742
tests/collections/speaker_tasks/test_diar_metrics.py,sha256=caKBbslkU-twCa-k6mx_asNGhShlKhFAaaroIVnvMZM,8259
tests/collections/speaker_tasks/test_diar_neural_inference.py,sha256=tjaDGN8W2UUBauNHzhyPO1r3FWfbNvsFHIUj-oKjuoM,2978
tests/collections/speaker_tasks/test_diar_sortformer_models.py,sha256=MTJhaVttA-fc-a0HkbGVmlUiSMH3dYVjpTfuLJk_SvI,7648
tests/collections/speaker_tasks/test_diar_sortformer_modules.py,sha256=adABLmqzLDN_1EzNgJF8Y1q6pJbR77201B40nMuaeic,84752
tests/collections/speaker_tasks/test_speaker_label_models.py,sha256=IBeXEXri2sV3tslvVL8obDyvFiDf3wXY4BRLhl0m6sA,7869
tests/collections/speaker_tasks/mixins/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/speaker_tasks/mixins/test_diarization.py,sha256=YmbT2ES1iQTuAUGAg2RPx_7p_OsBs10yEVEV9nLSnlU,8774
tests/collections/speaker_tasks/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/speaker_tasks/utils/test_data_simul_utils_speaker.py,sha256=0EjdFdXGVje2BrFfEVgSONmIQS9NYvEkMjet0_4yhx4,22067
tests/collections/speaker_tasks/utils/test_diar_utils.py,sha256=ZjyoKDiONeOlHkNCmeQhVN9GAYxCQ1IxgUw66ihW324,44535
tests/collections/speaker_tasks/utils/test_multispeaker_utils.py,sha256=DQ2IvpuY6fzi-cRq8dYUxWxIAqxZYI1BpALzdddB_bY,16899
tests/collections/speaker_tasks/utils/test_vad_utils_speaker.py,sha256=44hKgfdeHi6CM3JVDNjU3P6oIvA2MN3TxPaJ9vL9uJ0,5768
tests/collections/speechlm/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/speechlm/speech_to_text_llm_train.py,sha256=a19_8_NsLvZ96HEjnv2tkRlgi_L2vk21Kx843jfV7eM,3027
tests/collections/speechlm/hf/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/speechlm/hf/sft.py,sha256=9GUk82kmXbpfU5u9bxFl0x4_fy2jVmWOCkldv2MSwV0,4582
tests/collections/speechlm2/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/speechlm2/test_audio_placeholders.py,sha256=NZFloDYrti_z-ukb-Hta3R5ypCRkKgeb8fNmUDOcIJE,4714
tests/collections/speechlm2/test_datamodule.py,sha256=I6u_4ozzlSIpTTdY2sLMQ-HiyFeBStGCdMMb_xHcmnE,3582
tests/collections/speechlm2/test_duplex_s2s.py,sha256=HNRftd41bvY3t1Fz1NL9FHagZ57YzF-GzD9rIFVWenI,7985
tests/collections/speechlm2/test_duplex_s2s_speech_decoder.py,sha256=S8D7ih1l68sFQMkoHNzhmy6lnXef_w6pMM-CShv0GQc,7562
tests/collections/speechlm2/test_freezing_params.py,sha256=cm1oHD-oRs96rWSAqJ74ydhySQprbwTqcOt_m3VVFT0,3427
tests/collections/speechlm2/test_metrics.py,sha256=I3ZdEfSuPnJ9CG5oR5dInZVcG3ZXwu5NGe82v2JJkx0,1686
tests/collections/speechlm2/test_salm.py,sha256=Z-v4nFKNVPzN_-zdScEWQpVGUuk2NAoEShTInKdjx_g,8423
tests/collections/tts/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/conftest.py,sha256=lSfNeK3BnZKudV6zed53eSsqvno8Fl-a1gCieQQHXtU,2916
tests/collections/tts/test_helpers.py,sha256=N5nzEyhcfO3mUDE5F6lFA1-MNC3PBBlFcE-3T0mv6A0,2031
tests/collections/tts/test_spectrogram_enhancer.py,sha256=D-lpbqAJFCdyL-r441lRSc484LKA1qjsChtyAU8A8sA,5952
tests/collections/tts/test_torch_tts.py,sha256=7m02J_B883OqVt7bsE3OxqZNYZWuLTc9KV2V70SRgxk,7565
tests/collections/tts/test_tts_exportables.py,sha256=vBrzBMTRcEFhqj9HoWhVnnsczNSoA3V0sePKMD9J1Ag,4494
tests/collections/tts/test_waveglow.py,sha256=HZgYoyj773z-29oZ4wG0q5Q0vU84RFwuVuTDAdfcbtM,2974
tests/collections/tts/g2p/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/g2p/test_modules.py,sha256=llsCAB4OqGeaNKkfK06jA1dkE97Ml9TKIH-5jevGg_Y,15877
tests/collections/tts/losses/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/losses/test_audio_codec_loss.py,sha256=-eOFiQdBQM4yX1TC6xMoU7uk6rYsfYSrNpB7s6y3pmo,3483
tests/collections/tts/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/models/test_aligner.py,sha256=7maiYLxl_LuSxY5-7DTYvmJXU6BlD_iABbppNrOp0Ds,2182
tests/collections/tts/models/test_fastpitch.py,sha256=3Pw6Pub3ySkRX4CcSrUTT5yWL-WT1jrEmAB3RUXkM2c,2814
tests/collections/tts/models/test_hifigan.py,sha256=rL1sFJuWtGMcVlQVfpDnbbp1IkGP9wVNJn5MqymofXA,1590
tests/collections/tts/models/test_mixerTTS.py,sha256=tZgrfm7wLJ6dnWYxCDbxyvBrbR3ZQyZLYun6cLUIYOw,1748
tests/collections/tts/models/test_tacotron2.py,sha256=E1J4fvdaI_bEihJC_JZnFI7sfl5LzGNYVUWbLIn52BY,1734
tests/collections/tts/models/test_univNet.py,sha256=bYCD4K_vtDyOPAffBTmZuNcYKacAkciUEtvbhCiYxzs,1588
tests/collections/tts/models/test_vits.py,sha256=-6bTeTf32n-YlvTiIUTjzNpRgc1cFnlrhIxxwdBTr6I,1718
tests/collections/tts/models/test_waveGlow.py,sha256=X70QwcGhh1UVc5CXEPyHFGEHSzz3dHl5wTMP9QOmRf0,1592
tests/collections/tts/modules/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/modules/test_audio_codec_modules.py,sha256=qmyLVdABJJvhaMj7-08AImvO0bUkw4kDJNYsCodmK-o,20511
tests/collections/tts/modules/test_submodules.py,sha256=FZVFN1zgAtfK32bbSZWkIeMnwdZJWrWf0PeY4WxEOE0,1817
tests/collections/tts/modules/test_transformer_2501.py,sha256=t4BktZD7lC8NteWgXiXbcqMesmMM3BTDTQX2OM-thEw,35652
tests/collections/tts/parts/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/parts/preprocessing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/parts/preprocessing/test_audio_trimming.py,sha256=KgHswfnEaQ_KElt4v90a3ytEa5RAG2PVZROoleKaed0,2514
tests/collections/tts/parts/preprocessing/test_feature_processors.py,sha256=Hs0B9A-9cqyctbJaPO5ve242wyGbBOXlR17yUKP2uv8,7556
tests/collections/tts/parts/preprocessing/test_features.py,sha256=urQv0kl4p2Xi8TZeCh3SAiarw3Gcsq-pOWNVHoi_pwA,13129
tests/collections/tts/parts/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/tts/parts/utils/test_tts_dataset_utils.py,sha256=7WJ7IQkxse26rpmheFqtjFEp_366J6w3skWkMCoAUak,7702
tests/collections/vlm/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/vlm/clip/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/vlm/hf/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/vlm/hf/peft_hf.py,sha256=g8jkuIuOB-SXGG7JKcEV6uHnmZJ73dma8ORzzWxslqw,5702
tests/collections/vlm/hf/sft_fsdp2.py,sha256=Fn3dHK6vmuXqmbk3ux4b0TIUqeQfLx_khhUeXvm6DPk,4857
tests/collections/vlm/hf/test_hf_auto_model_for_image_text_to_text.py,sha256=v12M2_Uzw37FTMwU5QgksxWajAhmFtjDyf0uRo4yCQ0,7744
tests/collections/vlm/hf/test_hf_datamodule_hf_vlm.py,sha256=rMAdT2iH9XiA-Gh2FQh5hQEB_fXU7CN9PouTJsMzlpI,8207
tests/collections/vlm/llava_next/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/vlm/llava_next/test_hf_conversion.py,sha256=0CSUq36OWTwsaPSMVA49GN-pseIkh9_pXbdBNzbfayg,9336
tests/collections/vlm/llava_next/test_interleaved_sample_encoder.py,sha256=7TxH64wBFL6E38DMmbiPtSAjByH7NtCV1DgH0dx-Aac,4857
tests/collections/vlm/llava_next/test_llava_next_train.py,sha256=WyD79k7mgc86n5EDtwQn_BDgl4sI_aXJxJIjR1WdaK0,8242
tests/collections/vlm/llava_next/test_task_encoder_llava_vlm.py,sha256=qdJ7hX1uGPw1pR38nQdTZ8vjt9cNWMxUa_eyWgtodGQ,13467
tests/collections/vlm/llava_next/test_vqa_sample_encoder.py,sha256=4M4CXcVYJ-k8UU43Q3XqrtmBVGL3JrMF5_UZtaW6GlY,3088
tests/collections/vlm/neva/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/collections/vlm/neva/data/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/collections/vlm/neva/data/test_conversation.py,sha256=SKyclvEaRS6ewzwQDgZDwZYIdVebtbYgjxiptQ4FdJ0,11370
tests/collections/vlm/recipes/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/collections/vlm/recipes/test_clip_b32.py,sha256=qwW2I_XxuLrWS77OkzaWYA48VkiEc04tSKVju7GYMdU,3359
tests/collections/vlm/recipes/test_gemma3vl_12b.py,sha256=8yC0-0InSS0QV74FpJyp6CTLJCkwkTatWwT4HB-0Mzg,6990
tests/collections/vlm/recipes/test_gemma3vl_27b.py,sha256=t55RsD_dTUulblQcye2SvrMcSfHsCvOLksDoxysv6d4,7138
tests/collections/vlm/recipes/test_gemma3vl_4b.py,sha256=WKJZ7RQG-5mOgluF7bp30qQwdXODG9xIzXWOtVAUtb4,6984
tests/collections/vlm/recipes/test_llama4_omni_e128.py,sha256=Hl5Dux9dsRlzd3Mivfz40_pyG5GJyks7qbn9V0T7svU,7625
tests/collections/vlm/recipes/test_llama4_omni_e16.py,sha256=qvqxv6b_XFQRKfnMiOAJfQAEzeIXL6zjF6KxXJOOXiA,6868
tests/collections/vlm/recipes/test_llava15_13b.py,sha256=9s1Q9xgBaRphZjDcFzv8AYZLJqawABZ2TtD3AzIwwIM,5078
tests/collections/vlm/recipes/test_llava15_7b.py,sha256=RJIJdnfNcFJ944ce-RGDWZPN9ytEHTXNyf3ZVQ2tGzw,4500
tests/collections/vlm/recipes/test_llava_next_7b.py,sha256=Go84_WQQm-izB4WgqQsVH44EIllLRRWKRIKh23NjfIU,4925
tests/collections/vlm/recipes/test_mllama_11b.py,sha256=aX6LK_pq7GVkhpKbvRUwtssQH_MAYk2yIULZSt0mfDA,4760
tests/collections/vlm/recipes/test_mllama_90b.py,sha256=zQR82eHSXs35N4Ol4NaPNLivOMhOE5oz7G4PcKWo3W4,5072
tests/collections/vlm/recipes/test_neva_llama3_8b.py,sha256=GuGyxr5VBbWxNAaMTrjHgayLtkf8APVb-NLb5l9XhQQ,4454
tests/collections/vlm/vision/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/collections/vlm/vision/test_base.py,sha256=t_O4-WAR4-RvqZK6M5cszwNVf3mh0-UjFXbqObxgpBk,1449
tests/collections/vlm/vision/test_llava_next_InternVIT.py,sha256=b8lWQd8vMZuZhvjopehvpcGdZeSFh6ngzY-4VwIs7gQ,5170
tests/core/__init__.py,sha256=TS5NMVLZXlTIgbt7grYmlxBfRKrWELPnT9DedX9kYBk,610
tests/core/test_config_utils.py,sha256=-z9uwZQbT-l_IOXihly1wrhXyVPdh0HShI0_eQPPIe0,4306
tests/core/test_dist_ckpt.py,sha256=mk4iMySpqyWdT_4f4dX4kn7wi44aM6v3duY3Z4GHxQQ,7198
tests/core/test_exp_manager.py,sha256=pKBnKzcITnrYiRwUMbzkyKjFhh34a1DGpdoI9TcNuUA,50492
tests/core/test_fault_tolerance.py,sha256=KeEqU9PnFYcszLSQ2GvauCrGG27RA-mP3x4y7buabuM,2329
tests/core/test_fileio.py,sha256=XHGpgzJGDE0wNe_lC9-bhnwLZDf2-XFzELCmbLIqKnQ,11315
tests/core/test_neural_module.py,sha256=OsZoyAZjK5nitPOx2755ngXlD-AFHTmNqC2LJ9iIVGs,2489
tests/core/test_neural_types.py,sha256=sxRYUyU9j36XramsNOYnODKAi09bjw0fx3LdS_zMbbU,9537
tests/core/test_optimizers_schedulers.py,sha256=QT7l_fyER2x4kcFMoTMQuX34IT74wnj6dWz1On-O2bo,41877
tests/core/test_save_restore.py,sha256=kCahSdrZNt6YviBwG3v-giczAXPF2ZkGwxp6FS64ki0,63517
tests/core/test_serialization.py,sha256=UpfSTgT7OObhYBIwM9fTtDdVxEp1k8eQ8Rp2BrlkGtE,6123
tests/core/test_straggler_det.py,sha256=2Jk9tGa78pw0WI6X5rYwdBdidDY45qeob488qfFXK7Y,4573
tests/core/test_torch_jit_script.py,sha256=905eN9SPUV8wLMcrTGUsorRpS635B-EVFLwo1gG1nlk,6204
tests/core/test_typecheck.py,sha256=OEdAFXCBPRziVUPiDjwFa7abXqGAQ5qE_WVcwAbv8pM,40922
tests/core/mixins/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/core/mixins/adapters/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/core/mixins/adapters/test_adapter_mixin.py,sha256=9Urw3B6alZfx8qJQ-s1TRLS4YOuapbWqLxdY5SMu9mo,8246
tests/core/mixins/adapters/test_adapter_model_mixin.py,sha256=2x8GKEsbLoK4MjiAPUhGi7GKb_IImxwiedtuNjrIEq8,49514
tests/core/mixins/adapters/test_adapter_strategy.py,sha256=rNwN2Ka25gcgBOxDYn_51gQcu6_kwn3O6KWLJIgRXKs,6604
tests/core_ptl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/core_ptl/check_for_ranks.py,sha256=d5Mk0NUH-TjiU67UB6wXNclSQgF-rgk5asr2Ah3_2l0,4693
tests/core_ptl/check_imports.py,sha256=xqsK7gKDGWSXv7Y7A_VsISZifA5W3DrIPEqAGrE6Y50,6626
tests/core_ptl/check_manual_upload_to_hf_hub.py,sha256=jHaZIjf55_UWCPJ6sRerNu0sMa9OHF-x3PMu2tClxCk,4439
tests/core_ptl/test_ptl_stateless_timer.py,sha256=djXBchS_xviffuoXjBmePiYzh7fL0cO11ucqUY93Owk,4626
tests/deploy/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/deploy/nemo_deploy.py,sha256=f20yK8woMzkSYiWiUgrMYcukGoUVOg7B0QiSHxJEapE,17600
tests/deploy/test_deploy_base.py,sha256=gLeECswIBtrAq3aRlRIRkRuTqpfITNt_6wZ0FsBqt-I,3081
tests/deploy/test_deploy_pytriton.py,sha256=1EgVktFwxREP31VEIJl3Rv4K1umpMKPQtKOGVmMJCfM,3223
tests/deploy/test_deploy_query.py,sha256=g4VO6HdHRIxNT9on_EG236TMOjV3ifuIE_SDRShtpzc,2618
tests/deploy/test_deploy_utils.py,sha256=qbkyqwBlOxG-iXKi41YbJ_UQob31DxqKd5q3BL3Bry0,7850
tests/deploy/test_deployment_service.py,sha256=xPUpjNuOisscHz9jKti8W7pOyF7k16k67gXejO9FGLM,12077
tests/deploy/test_hf_deployable.py,sha256=YC2bjYZ2-EfiY_MwPnTPAk9YgLq3dGtrkp1At5Xy1Uo,7947
tests/deploy/test_hf_import.py,sha256=w539hX9B4d9Fd6ZM-pn2Q52zK3UQPHguPWiuBa8gfLE,4743
tests/deploy/test_megatronllm_deployable.py,sha256=JAmd4-Ovn_WeNGH8YE-sTwuj3xI4QiFT4b61tk6uS0c,5025
tests/deploy/test_query_llm.py,sha256=LJQIhAUIht5piosTYsRuZ1QDyf4M5RMUwuSpUZZYzog,8223
tests/deploy/test_query_multimodal.py,sha256=LxCIO7R4XWG5eWwRdrqlZeUs97sBI1y_c5017h835Nc,5538
tests/deploy/test_triton_deployable.py,sha256=Pl2AFL-XI9v-4yBw5d-_sAeFDWQ9-a9RNV4Qn842RiU,2585
tests/evaluation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/evaluation/deploy_in_fw_script.py,sha256=LIeh0N87Ue2rk515AOAR5lAXDdRKeoKZEIHAL72xux4,1569
tests/evaluation/deploy_script.py,sha256=fdu7hP6wWC9BUZLgnyVbTpWsbTeGZBrkI3NvOi3mADQ,1660
tests/evaluation/eval_unittest.py,sha256=qs3e6nRwMLpDLuFF79jOKKPMfuDi80IkLWGpnyOLIzU,3259
tests/evaluation/eval_unittest_legacy.py,sha256=PXUeYhrMObPoXOj2SL2jEwaOnn0lbz9yQYmrkr-AXdU,5149
tests/evaluation/test_evaluation.py,sha256=N-uMUg4rwb_HyoOwGqAG2o5sn4SXVEraWCkxjORcmd4,3268
tests/evaluation/test_evaluation_legacy.py,sha256=Wvlkgn3vT4ebinjBhKqfLWr76IY-_Vqlr1I4DgxG_xg,2904
tests/evaluation/adapters/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/evaluation/adapters/conftest.py,sha256=OdWinE3BMxOFzlFXRQEBSMZ0yMmodfFi0fu9qp3DqQ8,1136
tests/evaluation/adapters/test_adapter_server.py,sha256=7Bj1bssLko5I9Ze2ySPFNZsZoShOibkD2usSp-AHMtg,2077
tests/evaluation/adapters/test_reasoning.py,sha256=FXOt-AU_TdW535XBVJRuoGhoSJgs5gFfH3ziPLZ8cZs,4756
tests/evaluation/adapters/test_system_message.py,sha256=JbWEphUyClZ8qbNbjtvUWjE006bQ9URlKsLBbUhG54c,1820
tests/evaluation/adapters/test_utils.py,sha256=4ZBjOeV0LbxZbNtbWy6DrabPeKxKezbNJOvvVY3BO3c,1992
tests/export/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/export/nemo_export.py,sha256=LnVggATxBgmzIAHoNb9SnO2Pn9RCqkWm9ZtUkNRczWM,31506
tests/export/test_export_onnx.py,sha256=Mbk6kjskEnIzlEIhQ1By10grk3BYSjMVZva635apolk,4712
tests/export/test_mock_import.py,sha256=pSw6Wtjzk03FT04TcRKrW54bDjHj0PM_N2z0hF1Mok8,1134
tests/export/test_model_loading.py,sha256=iOAJ3q6EsacqXlsipax4KWMgm44IeJc8pmkspOoceJw,2005
tests/export/test_onnx_llm_exporter.py,sha256=4UT-sLUHuaXcIBQWrEKnXV3yKOMUyuCDYidsFODLi78,2037
tests/export/test_quantizer.py,sha256=G4KXREyiIC4gjHyB9XzfaddFaCauvrLBAshNXBRrLso,4540
tests/export/test_sentencepiece_tokenizer.py,sha256=4YtRg9Yq0d9sWW1_8DCCR4yShANcuNgHXpbXzDqTi-A,6807
tests/export/test_tarutils.py,sha256=gkCBbXtTnXbqruCE74vAMa9bRxRIv4kgt6pQhm1hSoU,3964
tests/export/test_tensorrt_lazy_compiler.py,sha256=qWS1QyCkHpdBgzpne4BRpaz10ZZGrDCkTKGd8H7dP14,5985
tests/export/test_tensorrt_llm.py,sha256=0uRXQFDz7H7xI7ksKH5xWFy8Wm4rBUITRk39TJctdDE,8252
tests/export/test_tensorrt_mm_exporter.py,sha256=kVROjgMYtx0KVHoNItdzqD2pzoICja9hBp3MIRkpeuE,8200
tests/export/test_tiktoken_tokenizer.py,sha256=g62ohxYm4kD2UkM1Eus6HkYrsjoTb1DrAtV7ZcNaOQo,3798
tests/export/test_trt_compile.py,sha256=1w9DxKUjOOnH9iFQPSAhEiRxI8RFhzPG1F-0J6R2RZA,4869
tests/export/test_vllm_hf_exporter.py,sha256=w9fRM321jKnfS9jshQS1nooiWoQwXMsIpHGEbsS7VSU,6153
tests/export/trt_llm/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/export/trt_llm/test_tensorrt_llm_export.py,sha256=ULmP21uAhOvuGGEAVGQRZnXzfW6P0pNnu1DOFkcmo10,4528
tests/export/trt_llm/converter/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/export/trt_llm/converter/test_converter_utils.py,sha256=rnp-gMCjhgkK2nAbzI4l5dlmOsIKqLxt-rvsTNZKksw,4202
tests/export/trt_llm/converter/test_model_converter.py,sha256=mauQbUSuLVdFql4PiuKGaEEGp_I0gcNxhK4T22iC-6M,2556
tests/export/trt_llm/converter/test_model_to_trt_llm_ckpt.py,sha256=UWz7MFADx45E9s4SKGF1Y7aA6Vo8Y7GnfFwCkxCE9b8,4496
tests/hydra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/hydra/my_app.py,sha256=6Xfvb4EkXixAwo54uN2ie51nmLrz7zKRdDTUP4EzB7s,1277
tests/hydra/test_hydra_runner.py,sha256=TkFlx0cb4R8jkqS_Il069gRH2ZbgmC_i2KpPBk__dP0,3653
tests/lightning/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/lightning/mcore_microbatch_utils.py,sha256=10sV4xO8s6ETNvEU_jZppN9gGy82QvY52uR82_FbTiY,1590
tests/lightning/test_callbacks_group.py,sha256=BaBl39aY6oQkH520Z45oORwtqLireeLoUEIbvXwcmaE,6591
tests/lightning/test_ckpt_utils.py,sha256=U9btIUaT5nax9D-FzyN-TYF515dFt-VztVzPw0myKSY,1930
tests/lightning/test_data.py,sha256=rLt0SSS_DJjY1_FDIDtshzmPSfySKzUggpScAHt-ChA,3213
tests/lightning/test_ddp_parity_checker.py,sha256=T0lj4Txsm_m2BcAFZnYXsKAU_9ZbGcfSU205UWOMfFY,4548
tests/lightning/test_dist_ckpt.py,sha256=kzCDMTu3dqmDc1FR9VnnpAveswm-Ui25qxG4TGp3hZk,7132
tests/lightning/test_megatron_parallel.py,sha256=7Pb9Toixtm4zaLZsVwMX3qmpDovYQM9Z0FmA0OeWi9o,8113
tests/lightning/test_nemo_logger.py,sha256=PMlTNpUHFyxYrVWz7_MKvb4_Iw6bv2d3SOroyrww7to,9974
tests/lightning/test_nemo_resume_from_ckpt.py,sha256=yfEAbzwv6gq_xhZZDy1mp2zTI2gqMUWo_kRk3F92X-8,10074
tests/lightning/test_nemo_run.py,sha256=52gNP9_tcPJD7sE_Xac3lC61hUkKeA4kGZ-rfFTG30M,6927
tests/lightning/test_one_logger_callback.py,sha256=QjPMa5FzyB8pCtpXU9ZjnxqlC6NY9b9xuHiRe8fQS30,31312
tests/lightning/test_precision_plugin.py,sha256=wUrZda3zGM1dtu3Q-8nol8dzoIYzKT4At5tFUiToBt0,3847
tests/lightning/test_resume.py,sha256=oy2i-ie3ErOrRyIdPrFUWW3GhMV0FEAQXKHZqHCmXDg,3694
tests/lightning/test_state_restoration.py,sha256=HwtPBaCYlxAWhez3WEeSkvvKKSjpDvzC9g6leP2FTI8,9394
tests/lightning/test_strategy_lib.py,sha256=pi7_xNmaF2dteibszzAgLMmxTlxnUDitr-p7azLIaSo,14467
tests/lightning/_fabric/__init__.py,sha256=o60gV495N8fOgeSQrCkzz_HDaMDFK_YoSkWbuoPzbW8,762
tests/lightning/_fabric/test_conversion.py,sha256=PCpI4BPiEARBV_6YmkezvbfeEKUkTqXB3omLJJxHw0o,3618
tests/lightning/_io/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/lightning/_io/test_api.py,sha256=33AyHcTwqaI2S2p1UbWQjoNWJFs99AkdN8aAwzJnbZQ,3022
tests/lightning/_io/test_hf.py,sha256=3nov31UNvy_wGBrvmHal0dRzD4Lr38xkR9f-CXNciSg,2695
tests/lightning/_io/test_mixin.py,sha256=8Ji3xmMZ-Exg3GvMlxNPgDMnO6ZFbDQ4Dp5jr6lJ6pQ,1130
tests/lightning/_io/test_state.py,sha256=FlEaCIUjNPPSLnjuwYDScgS0uk3AP1nhqozv0EWZpVM,15274
tests/lightning/pytorch/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/lightning/pytorch/pth_optim.py,sha256=Y-kdBPS2Uy8kHKhIzOe41nzYMws3_aynYPbOUJnQQWg,2100
tests/lightning/pytorch/test_trainer.py,sha256=H-UJnIMiQg3msIKlHTNto-TMQeLhZHF2PrLusgawZXI,1254
tests/lightning/pytorch/callbacks/__init__.py,sha256=Bben3ZQIQ0830I3fvPnc4lNNK4MZoLDfRNhfKoh-aLg,610
tests/lightning/pytorch/callbacks/test_flops_callback.py,sha256=nixxgZpW2-hC_8O9FApwIVvehOC3J0vkkFWp35JaNsA,2279
tests/lightning/pytorch/callbacks/test_jit_transform.py,sha256=fn18vI6d2E4MRegFDq2w0O7iu88IDtEbCXux21RgwcE,5854
tests/lightning/pytorch/callbacks/test_model_checkpoint.py,sha256=Xp9ChM19Yz3LHfhDdSgOzjPY0XJL0SAJCTySITUzT-U,10428
tests/lightning/pytorch/callbacks/test_model_transform.py,sha256=NuF7eYH9JhyFfnSYKl19s_CIrPwNbJWJVhki4aIShQ0,2083
tests/lightning/pytorch/callbacks/test_nsys.py,sha256=bZnAlVeAACmbr3TpfXsGWDCZpvCuLTb3xW_531iotFk,8296
tests/lightning/pytorch/callbacks/test_peft.py,sha256=SHY4e6cbOTcI6PUPX261uThTKlarBknFPa3lF4MZ50o,8492
tests/lightning/pytorch/callbacks/test_preemption.py,sha256=Vv1nmT9a4xLWCETU6uT_r1IIefFcC7Un3xoKNVw4NzA,4832
tests/lightning/pytorch/callbacks/test_runtime_estimator.py,sha256=SPXXSxDHf-AshHKiO1uBHsK1s72IeIGBTa0hpCWpcRU,1057
tests/lightning/pytorch/callbacks/test_speed_monitor.py,sha256=PZcmFfn5zSjGEmsk6aje8YVRakNCT7kxBYP9LeVT67A,1101
tests/lightning/pytorch/strategies/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/lightning/pytorch/strategies/test_fsdp2_strategy.py,sha256=HzHWxj9UT_AxG8s7zSRq7xSe5hy44uQU3m0ZeF6M6cA,8489
tests/lightning/pytorch/strategies/test_fsdp_strategy.py,sha256=wEiUoIQhbmEVhxHILLGZHqSpVLKuoZ_UYEulQcBE9Eo,9256
tests/lightning/pytorch/strategies/test_megatron_strategy.py,sha256=u9O0e-n4EsGQ-goD74ix7YodCqFtawZa0bzR-nItBBY,2819
tests/setup/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/setup/__main__.py,sha256=qrVWPfPN_FZ8Nkdv5bZFf3Iiez0zvL_tMlZZf24H7GE,1630
tests/setup/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/setup/models/create_hf_model.py,sha256=cISRqW2Yk1kIwfWIbe6HuA3_siuIXQA5n4iUTWS0lhw,3659
tests/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/utils/test_enum.py,sha256=2ToaLG4iV9dbikVgSfrnQSUxNDUC8VF9f3XNoMZ8RoU,1390
tests/utils/test_env_var_parsing.py,sha256=PPX16zPYEtvqvsORipPbqnMrm_o5BGTvTeqxTwnGOyc,15534
tests/utils/test_flops_formulas.py,sha256=y0e510q7Wgi0IXtZnUEUxPz1dyegrKgBCEeDpIsqYow,2227
tests/utils/test_get_rank.py,sha256=f6xtSiCFbKGXhBmlJ_0k7fbSvH9C74yGM2dFvHui630,6765
tests/utils/test_import_utils.py,sha256=2B2CdMVY-uRIYfBsxQu8QfJ6EqZGceKSqHXTrRw5h3E,9610
tests/utils/test_msc_utils.py,sha256=cI9HfSzoF9BTPxr66VOQdZbAgF87A_BbQhe2xPGUtkY,1384
tests/utils/test_trainer_utils.py,sha256=td_Zt-Plr5kiATnKJ9gCFsJnCMfEMMHSn4rubJjAR1Y,1358
tests/utils/test_utils.py,sha256=4vCWekDVPVzcJsyTs63NZymMmTj4B5SOxv62e-yNBqE,3548
nemo_toolkit-2.5.1.dist-info/METADATA,sha256=wj-IcxycUd0cx0BFXRzyT65uVCMK1QFMDmnFYb-MBSk,95320
nemo_toolkit-2.5.1.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
nemo_toolkit-2.5.1.dist-info/entry_points.txt,sha256=X6Oqt09bNGhmneNtfPuiF_np6IPC7WkQ7LmDeX9cvXE,42
nemo_toolkit-2.5.1.dist-info/top_level.txt,sha256=VxqGcP8i9BQHOUCXevZo5hdYCR1_mKlwB8WAzrWcLio,28
nemo_toolkit-2.5.1.dist-info/RECORD,,
