paddleformers/__init__.py,sha256=vT9oMuEutysRk6cCLJpYNf_qpmRNCccGMFbj3bqL7T8,4054
paddleformers/cli/__init__.py,sha256=OhuJMmBrAc5IzwelKW9OwrTgh8U2GacQLUhWvjmDoKE,1680
paddleformers/cli/cli.py,sha256=3eyfHI2AMFtPs2eTHih9QF1ZT2DDzCVLDAHAxfVgm20,6963
paddleformers/cli/launcher.py,sha256=sbFr8zE6Kqk3P2d92oDVJM_bjmjaiWturHm2dJR7WyE,1124
paddleformers/cli/export/__init__.py,sha256=2SloPqfqTyDrN_q7XjYfX8y0IsYtRf0qV7H5WfDJFtA,978
paddleformers/cli/export/export.py,sha256=h8v2-YRNYODS2R0Zxp5Xr_BnWfsXbdZQB6GqbLwXMK4,7101
paddleformers/cli/hparams/__init__.py,sha256=9aIxHr2Ti4egCZrrq2-5J3SruMnZ9KYU8z4fSRgviDw,1538
paddleformers/cli/hparams/data_args.py,sha256=e1-U29fES1N8AKIzdogDMolVoQdXsAFPF62XSRXXWZk,5271
paddleformers/cli/hparams/export_args.py,sha256=yktDLaMWikSG_O_AYn_2txUK4tv2kyR9gqrTsDFyv34,827
paddleformers/cli/hparams/finetuning_args.py,sha256=NTFibtRbWypF7o9Sbu_g2WWC0ugLpLHw-oO_DfXuHZQ,14852
paddleformers/cli/hparams/generating_args.py,sha256=_q_XAcEZafw3qrVdhcwmHUw38g86fitAs6usFdchra0,3024
paddleformers/cli/hparams/model_args.py,sha256=jfJ0Tv1vmeN4uLM3WkTRmQWp5b53RM_F-ZZaN36j-cw,10984
paddleformers/cli/hparams/parser.py,sha256=4Z4kAWAO-ZvYL3EHODIe6PuFYkAgKY1DH9LBksFr7ZY,9297
paddleformers/cli/hparams/preprocess_args.py,sha256=OK6XL6Mz-mb73ZiXwTiut9i1wMlcqlXiqKBeDgDQxXU,5295
paddleformers/cli/hparams/server_args.py,sha256=o8tIFkmEAQ1HbQZtoc2JfaP3c9Ady0qSuxYwu66cBHg,3406
paddleformers/cli/train/__init__.py,sha256=43Nr66dFGJxMGZFP3zK-WpYHV3C6DoWn6H9QJGBVYmw,1052
paddleformers/cli/train/tuner.py,sha256=U0B-_A03YMFsaSQoyDn4Pcdhl7PX8yZQBm4yw1kvMHE,2742
paddleformers/cli/train/auto_parallel/__init__.py,sha256=a21BRDQFpMoFbespjY8wgxn6zyec3u5oaderxb8WAsg,684
paddleformers/cli/train/auto_parallel/workflow.py,sha256=s8UyHLXnQEuw2Ylyl5sbfBnFG7ECDM4ITmMQbp87o3c,15501
paddleformers/cli/train/deepseek_v3_pretrain/__init__.py,sha256=YmKFV5iikOs4KgJtGS72DlpK31zucW6ZN9ajNLSO3YE,684
paddleformers/cli/train/deepseek_v3_pretrain/configuration.py,sha256=C3YWIsmJJLIgAup9ymaf6yB92RJ9Q7jeXwME4jZE9LE,13503
paddleformers/cli/train/deepseek_v3_pretrain/fp8_linear.py,sha256=ZAK3K7YKOvT2c8dpJOe_3xTkcjKNKDJDwbOSGr5IGI4,4932
paddleformers/cli/train/deepseek_v3_pretrain/kernel.py,sha256=aSr0FD40thgnZZNa-svZJqJ387ZspLuBAg02OA8wGeE,8876
paddleformers/cli/train/deepseek_v3_pretrain/modeling.py,sha256=ljU8OhtiUXvc2qzm82czl0Vl9CIuPtY95swhUKidsS4,127379
paddleformers/cli/train/deepseek_v3_pretrain/modeling_pp.py,sha256=52AuqyTDAgt5_kh_AYm_dyYT50rMe27HAgn_tUJ34Sw,98153
paddleformers/cli/train/deepseek_v3_pretrain/moe_gate.py,sha256=ot8vOsDldwtAz1M6VuViCD-8VV-FxtEgABTyY9FaBpQ,22078
paddleformers/cli/train/deepseek_v3_pretrain/moe_layer.py,sha256=jnnfOmMzMGLPEb8YupgxHDnkkAxi9-UdvnrUWAc8I5U,51469
paddleformers/cli/train/deepseek_v3_pretrain/moe_utils.py,sha256=R6hZtRU_J-57UzABPrZgLkelTUVFivvS7RTDorXRuek,16205
paddleformers/cli/train/deepseek_v3_pretrain/token_dispatcher.py,sha256=nVsdWaJbhqQ77-fG2RN-eW3uGU-5hUWHNOPsWXfE77E,16283
paddleformers/cli/train/deepseek_v3_pretrain/workflow.py,sha256=qhEloaS0jXmzj4MrVBNnA-T3dkbT_c4STi3XAhMLc04,23788
paddleformers/cli/train/deepseek_v3_pretrain/utils/__init__.py,sha256=eJ8_tdj6O6PpPTJYwFcoIEVyHyjHcUfZjmTBAtyNuCc,647
paddleformers/cli/train/deepseek_v3_pretrain/utils/convert_ckpt_to_sft.py,sha256=rkKNYuSDRR8TEfZ_6nEER4nTUoRJWTlIxriZZK9DfsI,9643
paddleformers/cli/train/deepseek_v3_pretrain/utils/load_hf_ckpt.py,sha256=I1w8awHMs7gKLXjrGFYwuT_BocnjRYoFYFhck3R7PMM,14542
paddleformers/cli/train/dpo/__init__.py,sha256=7QhRYK1J2-4SQS-lRKxlbwyCnQrY46hgew_vpXO2ioM,664
paddleformers/cli/train/dpo/data_config.py,sha256=MURmD6mYu5Tc4XOvDROtSBgubK-SzqDxm41ETDalU6g,5065
paddleformers/cli/train/dpo/dpo_argument.py,sha256=Fpvgp-kBcBYTsXeAIJrgHkaHjXdZ9mHxw8LbdQ-VwiQ,6876
paddleformers/cli/train/dpo/dpo_estimate_training.py,sha256=7YItEeRF0p-KQEN6J7mdBj9_wdXpGsHNaoA8rNmJQ-g,7095
paddleformers/cli/train/dpo/dpo_trainer.py,sha256=0pnbYUGMqV0I98gS-80Ses5g3ay6fzTckNsJiz6SNuk,34453
paddleformers/cli/train/dpo/workflow.py,sha256=HB6mbeFPuYEFLU6spyd4Ms9OYu3mGt-69tX1cbHqyRI,17596
paddleformers/cli/train/ernie_pretrain/__init__.py,sha256=cRC_1v6qrGSOQoQMA8tKFAziVzIRzSxnq8H883gYNSs,686
paddleformers/cli/train/ernie_pretrain/model_config.py,sha256=xTsDKa0a673cyDU8A6lDajB3yH0k3z7vC64LxQ9cELY,7694
paddleformers/cli/train/ernie_pretrain/workflow.py,sha256=oS9QSIoLbZq9Th8EkLceKD4G5HwUXvhLIYGxkLPYD54,29069
paddleformers/cli/train/ernie_pretrain/models/__init__.py,sha256=S-ul_PhgjbCiNWhpfhMx6cDbu9pHqA9ycx3I1v8wbHs,610
paddleformers/cli/train/ernie_pretrain/models/comm_utils.py,sha256=XZtT88uY6x7BFtDWviL0BXnon1IRL2tktFxeGq7623g,11529
paddleformers/cli/train/ernie_pretrain/models/fp8_linear.py,sha256=8WaRlgxPvr_yvPyuv8PeMZWHekAva6IFcFQVOZops5w,20431
paddleformers/cli/train/ernie_pretrain/models/sequence_parallel_utils.py,sha256=1zgm3-m6BEzTCqqpUwZ8155Pj4WbbLEEj_bFBPRRjM0,20162
paddleformers/cli/train/ernie_pretrain/models/utils.py,sha256=ZK3GXLZMvHK0ZDCeEWVjVWOf6ND6JLHC0X6ApNBF4qI,6586
paddleformers/cli/train/ernie_pretrain/models/ernie/__init__.py,sha256=wsP_D1PAF8miyop38wbwz2h8At2_xwbvglIaaFsJzOE,681
paddleformers/cli/train/ernie_pretrain/models/ernie/configuration.py,sha256=_3-nD38HlIkJO508CcxHt35O3wspk2L9aNdTMI9COAI,18033
paddleformers/cli/train/ernie_pretrain/models/ernie/modeling.py,sha256=QQ47ArcLZVKVBuThSVjAeKagV17h-rD3lDP-fjnD2LE,96696
paddleformers/cli/train/ernie_pretrain/models/ernie/modeling_moe.py,sha256=s6N-Y6DdGKuODsDabLpczs7smr256iTwaD-AwQCMLtk,94090
paddleformers/cli/train/ernie_pretrain/models/ernie/modeling_pp.py,sha256=1ln5kDOeX59oOUJeRK3bRHWzVlQywkOyShQfG7L_lDs,43603
paddleformers/cli/train/ernie_pretrain/models/moe/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/cli/train/ernie_pretrain/models/moe/moe_layer.py,sha256=-0FWlMSzQJGkJAuiB9n-wwYXs5T3FQ01dADbMA9qefE,47407
paddleformers/cli/train/ernie_pretrain/models/moe/top2_gate.py,sha256=31DTdVqOF1GK34mgQdqRdcEWUHbgSxdJ92v35YX9kko,17711
paddleformers/cli/train/ernie_pretrain/models/moe/token_dispatcher/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/cli/train/ernie_pretrain/models/moe/token_dispatcher/fp8_utils.py,sha256=ed8H3gbhw3IY14OU5tBUC8gngKQ7mmm3WKwQIjItnDo,59892
paddleformers/cli/train/ernie_pretrain/models/moe/token_dispatcher/moe_utils.py,sha256=5ZeflVOsMTWqE7FZKnuklv-upKpaT0xmggyzqsXTr60,13426
paddleformers/cli/train/ernie_pretrain/src/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/cli/train/ernie_pretrain/src/callbacks/__init__.py,sha256=2nEzEKTK3CClO_Ar_lIzeHk3yqjoOReqczibwLFA80c,1323
paddleformers/cli/train/ernie_pretrain/src/callbacks/fp8_quant_weight_callback.py,sha256=BCRSNPlUY2Fyv6KyZXmMS8u6OS62LAGimD0sN_LVByo,1820
paddleformers/cli/train/ernie_pretrain/src/callbacks/gc_callback.py,sha256=bB4aTrtdmnkHQ5flO2SR6a9xxt1zKQCV9r_db0FUx8s,1012
paddleformers/cli/train/ernie_pretrain/src/callbacks/logging_callback.py,sha256=gP7UZdjQGTOtSA528tniISPcvgMmK9l6W_6qAyZUhjQ,2153
paddleformers/cli/train/ernie_pretrain/src/callbacks/moe_correction_bias_adjust_callback.py,sha256=7TOayhgafBETd_OxuJd_bd2GD6frozCTI3ULxfhyL1M,2659
paddleformers/cli/train/ernie_pretrain/src/callbacks/moe_logging_callback.py,sha256=3WOvE2yl23cFGO56lb5XFyWdjx_h92AAcMnM4s-hmLU,5776
paddleformers/cli/train/ernie_pretrain/src/callbacks/ortho_loss_callback.py,sha256=dNa3A4ChhLgulpm_HOklREg7qlG-TN9XsI9iP3T9acs,2247
paddleformers/cli/train/ernie_pretrain/src/callbacks/sp_grad_sync_callback.py,sha256=SZ3C9huR210NJxl4KzLMZkihIusecEDnq23R475jlnA,1800
paddleformers/cli/train/ernie_pretrain/src/callbacks/tensorboard_callback.py,sha256=HDAC7cCV6IkdXkTQbZpvddh5uIjHhUqLCcb7Lt5ZnWM,7057
paddleformers/cli/train/ernie_pretrain/src/clip/__init__.py,sha256=jVKitWiHi2RX5Kmn96C7a_PPjLHRwsyHlxy3iI1tWJQ,702
paddleformers/cli/train/ernie_pretrain/src/clip/moe_clip.py,sha256=QlVjR7_NtbbsrioVflNTxQyc0THoLFQbfErATsg_ntg,6523
paddleformers/cli/train/ernie_pretrain/src/lr_schedulers/__init__.py,sha256=eThZhWx6Fbfyh9PtzzX5bzukwe23VJY3b0dejzX7GYw,793
paddleformers/cli/train/ernie_pretrain/src/lr_schedulers/cosine_lr.py,sha256=OfADYnl0PqGUPmU9Ro1SyWGfQy3_bKpWeqaCDze9du0,2401
paddleformers/cli/train/ernie_pretrain/src/lr_schedulers/wsd_lr.py,sha256=z69vMzOHR-akt5nIf_aeS4jcuhQEF3bf2RnW1l9mF2U,1961
paddleformers/cli/train/ernie_pretrain/src/tokenizers/__init__.py,sha256=S-ul_PhgjbCiNWhpfhMx6cDbu9pHqA9ycx3I1v8wbHs,610
paddleformers/cli/train/ernie_pretrain/src/tokenizers/tokenization_eb_v2.py,sha256=8-xM5wjpQK55SVt_SNqHfe7hGfEv8j_9wKbX9Wj3a4E,10234
paddleformers/cli/train/ernie_pretrain/src/trainers/__init__.py,sha256=8QH9TFe9F5z6r8d5KjWFqpCL0ftwqTACOiqqAO-OhVI,833
paddleformers/cli/train/ernie_pretrain/src/trainers/data_parallel.py,sha256=mGmCQofbCiMTzk-5dI3M661rIPI8Jwf-ZOjekMGHPm0,3589
paddleformers/cli/train/ernie_pretrain/src/trainers/pretraining_trainer.py,sha256=mA9jerKfbtOEHayl06Lk2DUd83jzG34ehxSbeQn2b24,62510
paddleformers/cli/train/ernie_pretrain/src/trainers/dygraph_optimizer/__init__.py,sha256=S-ul_PhgjbCiNWhpfhMx6cDbu9pHqA9ycx3I1v8wbHs,610
paddleformers/cli/train/ernie_pretrain/src/trainers/dygraph_optimizer/hybrid_parallel_optimizer.py,sha256=JXeqLeTq9wdoM8vcyKC0uQEeGbl4QLsYytXU6cSt92Y,15611
paddleformers/cli/train/ernie_pretrain/src/utils/__init__.py,sha256=ags56uRozjbqTJG2bCmj9x3iM91Rc8BRH2fHhi-6c6U,715
paddleformers/cli/train/ernie_pretrain/src/utils/logging.py,sha256=Dr8HXkv5zGbKDO-Avcuu5mkMqcpjVL4c-ebs3aSSwYM,1799
paddleformers/cli/train/ernie_pretrain/src/utils/misc.py,sha256=HgRdzOaGDwzNaacYDyddOkzRJJKvKCAkPGMGiKE2B78,6515
paddleformers/cli/train/ernie_pretrain/src/utils/seed_utils.py,sha256=QHmFgx94ASKLtmNxR6GI1UTuyUXOmjK03x6ekRdO2k0,2500
paddleformers/cli/train/ernie_pretrain/src/utils/training_utils.py,sha256=WSth5nfYvShnzEvNlKnmvsGkjroIXSusnRwFiHJ1MDk,2021
paddleformers/cli/train/sft/__init__.py,sha256=6EDya6OKwl-LIh-gvSNm8SheQ4l4sjG0qoaxomDMfLQ,664
paddleformers/cli/train/sft/dataset_formatting.py,sha256=A2xicsDapqDKk0K3yzqPNlep6WsmcBQFCqaWiEAnuRs,5612
paddleformers/cli/train/sft/sft_config.py,sha256=b47euoa_OOEp3-N3y_FrK2vTfV3YlbNRLVgtvwRcN7U,4255
paddleformers/cli/train/sft/sft_trainer.py,sha256=N6Fq8qEDY18pkCK5LuV2RP7kpUEbd44iTYLjqUOFqZQ,18633
paddleformers/cli/train/sft/workflow.py,sha256=x47F3wqMq5cmJKiq8Vpy5yUuSmB4lESY-ww01X4OI7k,24918
paddleformers/cli/utils/__init__.py,sha256=_Cf6edgCvSnGTT9vCS57VfNmEXZEjYJ9qbuUu8j5Cj8,1891
paddleformers/cli/utils/llm_utils.py,sha256=If8dzTK0etim5VhPauqiZbfOm8cYfvWrU4UNCffHC7c,37106
paddleformers/cli/utils/mllm_utils.py,sha256=dSPbyY6CYVIoPzHFuXMlnEh_LB1iVHTS_aH4OHE6b-c,7513
paddleformers/cli/utils/process.py,sha256=Xl8i0TJnqThkiwzYn0YyleMbJmH4FjT2BE0IWrknABc,6646
paddleformers/data/__init__.py,sha256=S85Opvy4ouujUu0ALkpUHWI8d8-KUis5XAWw1fiSxmw,2859
paddleformers/data/blendable_dataset.py,sha256=4syz_LN0ZikyipQIJDI9qt6c9hfn7eW-2M_vj0fY-RA,7936
paddleformers/data/causal_dataset.py,sha256=jL0f4ElLUg-Es3hPbTiD-P10OhU2KKrMKv6BJblahGU,30703
paddleformers/data/collate.py,sha256=zMJz-y7c_EZUu12rh6ZaZicw5o5KNcgma6Qg4es-I6E,12090
paddleformers/data/data_collator.py,sha256=Z3_wcNwyqMNsClYqNchNL50IHeynIl0_chVLZQYa6vQ,35822
paddleformers/data/dist_dataloader.py,sha256=KRiS5V5HST53wGk1VntCBNfLM0U-QAPRviafaKbdEO4,8017
paddleformers/data/indexed_dataset.py,sha256=8ZIKVetl4pJFm9qywglgO2fTxd0SuZ0bx9qIWjkU88E,33375
paddleformers/data/iterator.py,sha256=l5jZC5xUrXRorT9k_I-NgIEoFImsTxNayppuXXfvi5Y,638
paddleformers/data/sampler.py,sha256=5BrFSZvEPnDwH4y0tCiph-HUVEjaKi_tJY3OVItbZIY,15867
paddleformers/data/tokenizer.py,sha256=U1jzUeky7sZxvSIoIOV2-Dzecc8W8SIipUjGwQLZJ60,996
paddleformers/data/vocab.py,sha256=Tn4j5EYolSgcfUIgTaNqeEaM3WVR3pVHsYomqPw9b1E,24248
paddleformers/datasets/DPODataset.py,sha256=N9qhkeuToRrCcoFELIhdNpRYMZII5O4gXlB-3x-R56M,17920
paddleformers/datasets/SFTDataset.py,sha256=0tldSMJ-8GyID2rfPUp8Lwd8glF4X7fI2BwpEO25-Nw,28261
paddleformers/datasets/__init__.py,sha256=fgnygY28P3MjwEaqC6gDn5doSmgt4hMh0yKvIU3tzZE,4175
paddleformers/datasets/collate.py,sha256=NG72ZsF1RXylf7L0M054WL1VXZEQmWNCquhvcMvaY24,22466
paddleformers/datasets/data_utils.py,sha256=yVoMkzztnnIfpgoCyIxV5FyARv3afyuJdsDSSVzTXfY,12247
paddleformers/datasets/dataset.py,sha256=r8-fYJclsS7JjRXKtR52zEFB1G0fC_D8IIFQRNRe5-Y,31158
paddleformers/datasets/loader.py,sha256=N598FcsvDi9vxBT4QXeHYU4qlqM8OZZMD2MIp-CWL4Q,1825
paddleformers/datasets/reader/__init__.py,sha256=tG1lWzOWSqBcdUTrn6Rnw6LNPCZkHec10kr17rpXli0,1802
paddleformers/datasets/reader/convertor.py,sha256=ooqVc7PifgEiOO5yWFJSFRw2MtV_Wf27X3fpwasxY8M,10610
paddleformers/datasets/reader/data_info.json,sha256=VuAs2p0nLRX8HVSIfuwSyG0MualYac_a_pMG687LcZo,10804
paddleformers/datasets/reader/download_manager.py,sha256=QQt6cHZ1N-ArtbIQM5s5uVgDfyu9rIJpgtgomonoVU8,1261
paddleformers/datasets/reader/file_reader.py,sha256=PQwAcIQQBBOoG5K6gjYHZt_PifY-Wj4QWeGQjdWc-Y8,9960
paddleformers/datasets/reader/io.py,sha256=OaloKrPQGoXreVMKvljlZm8yXSAjoMikn-vza402dvQ,1974
paddleformers/datasets/reader/mix_datasets.py,sha256=TQebQ04yOsevhKCJ3bYXiKK_Cw-QyU8aQvFgTUCzEhU,9341
paddleformers/datasets/reader/multi_source_datasets.py,sha256=ZfKPAYa1bI5F14RjXuabbAdZxbMLb-IKxic-VxwykrA,5949
paddleformers/datasets/rlhf_datasets/__init__.py,sha256=b9IlwjKIZW9ggk9qAWcoiXL5UHQvGNq2C6b_kpjgREo,661
paddleformers/datasets/rlhf_datasets/protocol.py,sha256=i8L4PDDz8lutQYcj6V8GtBM2BegcJiPje-pcCQQFvIY,22087
paddleformers/datasets/rlhf_datasets/rl_dataset.py,sha256=cXYHHmb4tJjlTovAffWDJ7LuMVQ1Emk-CgKf1LybAhw,6001
paddleformers/datasets/sampler/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/datasets/template/__init__.py,sha256=Zgp7wqkyZjXF0tu8kSCSeuX7v_8kjJVWACBFH1dk7zI,2400
paddleformers/datasets/template/augment_utils.py,sha256=OMfS5PeLQ2Doxxxt6_N04oiVeFgIdHggKrIwpKHZ56I,3346
paddleformers/datasets/template/formatter.py,sha256=zDQetrvfgjtSKsLkVmLIC8YTyn6B5OO4y3mfNtu3B-A,6323
paddleformers/datasets/template/grounding_plugin.py,sha256=hvIyrqf633udD4zEWBHhkTKPg8pIwZK3tBq9Lfv1Lco,2462
paddleformers/datasets/template/mm_plugin.py,sha256=ec2nu8HbajFSxaWd9OJWHlHZ0mW-t1QkvbsnpZiXync,44981
paddleformers/datasets/template/template.py,sha256=myuzXaqceXdRRViZuCVZq48-9KCYlyTXiYrx4oNMgPg,36484
paddleformers/datasets/template/tool_utils.py,sha256=XA02i5BCLBPoOWJ386Z-bJtMPgB8PWqn3FUx3yZcEFU,11676
paddleformers/generation/__init__.py,sha256=dED93SClf2UeQCZij6q2MPYJGsFTBlvwG2-pocU3DPY,3102
paddleformers/generation/configuration_utils.py,sha256=YzXpS5_rTo2QGnOs-cmIumq-aKC7mMjrliwpi6_lIwk,28032
paddleformers/generation/logits_process.py,sha256=gch2e6o4N-XHUAQSuI36wmhDo3sgREkCn1Qeo14rbmc,28525
paddleformers/generation/stopping_criteria.py,sha256=ReHB9cXyv0fN5NMf2YCGhs0FZue-Xv5YvxMILF55TVc,3593
paddleformers/generation/streamers.py,sha256=hK8-rfZyiCHq7kIvzijS_-5m5MP-JDdAMMEo1l5lP7U,9002
paddleformers/generation/utils.py,sha256=nn-O89E8CAJ0rSC-Rl_DNiQd9nqZHeXz6vqT31NPk9g,90633
paddleformers/mergekit/__init__.py,sha256=aXBQvcI6kyuMScSvKosVbFTC06OW-5SSrThAkglscgs,1383
paddleformers/mergekit/merge_config.py,sha256=pRL2dEaHjnskRbinGiKYr9SP6WyI-XoBPOKSJAYpR58,8537
paddleformers/mergekit/merge_method.py,sha256=-5VU_NziXp2mccQ684XC92ubCklMq1EqXoNtyWY3coY,8859
paddleformers/mergekit/merge_model.py,sha256=jt3RAQyazmXGoXRlZr5nLoAyhACkhIyhj171KSmMOp8,43300
paddleformers/mergekit/merge_utils.py,sha256=1kFQiaRjyONXsFSpa2ye3QKVmD_cbw2in9iOWvMZ6B4,2514
paddleformers/mergekit/sparsify_method.py,sha256=otdhx7tFN06S63ul2TDMgqzy0e6IKlmQb-CL1JQ-t0g,5333
paddleformers/nn/__init__.py,sha256=txSFeU_xTinoBXh-SFqaakjNr1a_JMzvPyPdCEJAY_c,3378
paddleformers/nn/activation.py,sha256=PrOylOGwfHGVCFxJmTlIX849vwlitbYP89Mr4WojXwc,1214
paddleformers/nn/embedding.py,sha256=E_1DCOA6yOIu2L1rTtBf0xvyOY2TrPgEoPAckP4m5l4,2639
paddleformers/nn/general.py,sha256=mgN5c1XjzQ9pWqRzaxKxT22FHm8tixkxK9q5KyR-hq0,2158
paddleformers/nn/linear.py,sha256=vGYQtEtb6XuKLVEOhDZphMXsVWNjsCOwqycMruv6_nk,3173
paddleformers/nn/lm_head.py,sha256=xY9z84QQohtF-rmdPRZJaTJLuLnFcRxALApxFLplOHY,4924
paddleformers/nn/mlp.py,sha256=4jNyJa4jsSQgro-Bfe1SUWBW5OC0jzJMXOH4iTTmeks,4117
paddleformers/nn/norm.py,sha256=mlXCXE2XLnhyyemU753DL42QrLvXxO1IsFdCozPYzTs,3917
paddleformers/nn/pp_model.py,sha256=YNGF_Z44G2mfz7z_0_8j4osMvj6vO2Kzw2ENNcwSWWE,30160
paddleformers/nn/attention/__init__.py,sha256=iWpXfAkxWQXjCpF1Zi6aLdpJa4oVbxm1n-6aOFegtLc,1428
paddleformers/nn/attention/eager_attention.py,sha256=Lah3mIiEuUM1oux3d2fh9OCeMqCngXynQtEC0rr0xwg,3406
paddleformers/nn/attention/flashmask_attention.py,sha256=Vl-dJkqpXlz7wfE_qyiQD6wYvn4uBcrZH1bqXYu2Y-Y,2819
paddleformers/nn/attention/interface.py,sha256=HMcPaMUeQIuBYl2UFWfCmohM35EDvJpFty2M5SJARoQ,1105
paddleformers/nn/attention/sdpa_attention.py,sha256=NnQuNaC3V7UWfMAXQ56-N6gV8VN6AOwcDufxR3qs_qA,2835
paddleformers/nn/attention/sink_impl.py,sha256=olJJS5ifgTXix5MXhYaXRJzCL0M9fAw_o6gnraErjdg,23456
paddleformers/nn/attention/utils.py,sha256=MYtVfVfbZLBxtmtbs1VvB6dE0v1SyMgBMDmSbLiG5Gk,1209
paddleformers/nn/criterion/__init__.py,sha256=_MPW_9qfW4BB-uTYfGP8JSghWtd2Kd4anA9LvRm8QsQ,1525
paddleformers/nn/criterion/dpo_loss.py,sha256=Ybgle22OYnvz8FUe5WgQYwtm0w_s3PJZANX9nqSqwqo,16145
paddleformers/nn/criterion/interface.py,sha256=CdVtrg-UqhKC00ydgaqJcXiTsyReUmXnBVzOvW-g4h8,3763
paddleformers/nn/criterion/kto_loss.py,sha256=TzpD-cmgjhbyUnVtG4En_mgVyFipD7yfT-FHC7Ckrfw,11089
paddleformers/nn/criterion/loss_utils.py,sha256=S5FZmz1weoV6eNwJPsxVc-8x1wbhB_XI8ZHAcFgd04k,5126
paddleformers/nn/criterion/sft_loss.py,sha256=BRQ-O2xJh29o_yzHFJANXCCl2CPB_z86Vt37k8KDQYU,9083
paddleformers/nn/moe/__init__.py,sha256=gnsjs2VlLVMJmD1Zol1chmi7AemWfYbcWqmNiTnA5r8,2054
paddleformers/nn/moe/abstract.py,sha256=cWZxGSQlsShijEHcVJfuOUJpObgu8Gh2GGoYPmX-bC0,675
paddleformers/nn/moe/all_gather.py,sha256=I7N5YrlaF3s2e75Ou9inpjP6yxAxEwbRS5TfY7xZgM4,29013
paddleformers/nn/moe/all_to_all.py,sha256=J-XtVrkpo6-7cy-b6dXwjRF2Qw9OVlMx0nA9oG0Q3bA,3922
paddleformers/nn/moe/moe_allgather_layer.py,sha256=WLceRx13SDHuGscSvmkWAmBCkkZkxi71OF49Kk86nQk,35845
paddleformers/nn/moe/moe_alltoall_layer.py,sha256=_BRKLyDPhuUvTc6YZ6ndengGfXDWprBJ1e8fEw_7imk,26260
paddleformers/nn/moe/moe_block.py,sha256=OJDcxRluxgo7vV1-K4E9Ybh11Oi4gE8_GrwrTkD--GM,3993
paddleformers/nn/moe/topk_gate.py,sha256=eTCOWPomQK5PEfEM6mGArqOgBYMc2o9Ywi6IMy982N0,22363
paddleformers/nn/moe/utils.py,sha256=Dngggdf99AQmAEsacqbSMwYR01it1auxIkqm67FKABQ,13772
paddleformers/nn/moe_deepep/__init__.py,sha256=1Ku9l75eOUq64vKWbwUYsZvB1z2ou_7vHC3yVYDUW1c,1596
paddleformers/nn/moe_deepep/modular_moe_layer.py,sha256=wuWf-rg8er5y7fIZA3lawUkY4UR1FhEgxLQlGN3S9qc,18980
paddleformers/nn/moe_deepep/moe_communication.py,sha256=xFpxoaU1-ITJlw_rr8euoSdBYrqrm9rJBy9KawsFF5E,11296
paddleformers/nn/moe_deepep/moe_expert.py,sha256=jMaF3x_lWFMx3Y0KUVzN4s4KkeTpQi05mGSwJqqTw2U,1256
paddleformers/nn/moe_deepep/moe_factory.py,sha256=XsHxLs9s223uEhPjWK--WLT0RSNMnKuN5fZLxnNwpMg,2670
paddleformers/nn/moe_deepep/moe_gate.py,sha256=3I3Otu6BXW1JM1TXTBRXKN_vOcdFU37DcW7SsHFteWk,24710
paddleformers/nn/moe_deepep/moe_loss.py,sha256=JtDFN2-ZyPa9zf4k-NTyKTiNHX_NjSDKr0OZcSXFML8,8603
paddleformers/nn/moe_deepep/moe_loss_instance.py,sha256=34kwCmgLEZ_zmbXau4vKWnf4aC9VtLx_hlCp6-FSEj0,2321
paddleformers/peft/__init__.py,sha256=rS_uydxgmO3FfGYNZAJWbTSxOUV3jOt6viH6UiXyr4M,1053
paddleformers/peft/lora/__init__.py,sha256=Ki6-9TNn750oppafx12Hhn6dYVrfp_fhvMYv5pjMA3w,1482
paddleformers/peft/lora/auto_lora_model.py,sha256=IlVbbpyeJYWimBs9XrWU4CeDwBKwP5YRLw8wENbY8LE,38217
paddleformers/peft/lora/lora_config.py,sha256=Ju8-0mCOemb84iqKfjmj3oyObVX8GPmqqli6_RWAl9Y,7969
paddleformers/peft/lora/lora_layers.py,sha256=A5A9jPBN_pT6_Pf3R4jkLdrJzed7GjBDA4x4tPT_xz8,39540
paddleformers/peft/lora/lora_model.py,sha256=inKsA33eFcEhgGHRAPr6IhKeYYPmRV39XIhFTf3bifw,55651
paddleformers/peft/lora/lora_quant_layers.py,sha256=SLcEPG3VI3a1dKl3bWZ-vc0seGKUpQAxitwmRFQrBcY,9814
paddleformers/peft/lora/lora_quantization_layers.py,sha256=k3TlRX9VaqsGFPV7X1mRDdVEYVQEXtW_e4k2NaWwjp4,11996
paddleformers/peft/lora/lora_quick_layers.py,sha256=b_v8yi8wV9pcf0n6hN_X71vDyJbT8rOhyjleajb1ymM,8403
paddleformers/peft/lora/loraga_utils.py,sha256=FM1XWu1dp4_UH2yz06r47tD0EYUt3tMLVSQTTm-9Ybs,15350
paddleformers/peft/lora/utils.py,sha256=Rc5DIdUA7YfLH8EQSlTg8WZvXvsRV1PYziewjprnifM,868
paddleformers/quantization/__init__.py,sha256=8pcVHQ5UI8BqW-ESZKln7nuBTx84qF5W9_Uov26Efdk,2532
paddleformers/quantization/checkpoint_quantization_utils.py,sha256=-EaEHy0PsRPOl-WX8PgOnLYrsuYfqGga1LIwiA0tcFI,13314
paddleformers/quantization/hadamard_utils.py,sha256=NARIU7cC7U9yGVbOAkjEv4vi1kJiIsL6q6TQR7Ws3v8,2414
paddleformers/quantization/qat_utils.py,sha256=2g5EMyvCMnQl2pFC_xgSPu9-KzpjuHrSM0jQVbZNyoQ,17059
paddleformers/quantization/qlora.py,sha256=JN8FhOe4eISBCBUiNrls94DusENd6LDkuSPYLGEnjlc,4234
paddleformers/quantization/quantization_config.py,sha256=oc47blJrVQ5j0G9VZ337sxzyJ8SSfAcI5NqkkM6VuhI,9472
paddleformers/quantization/quantization_linear.py,sha256=xGePHkJScQdT9kBIncLh0_9NkZ55sMxSXrbuhPD5K9U,36122
paddleformers/quantization/quantization_utils.py,sha256=NW_zwBAMy-FcnCdz9V01s5hQZAchTV00yF5swxI9f4M,11941
paddleformers/quantization/unified_checkpoint_quantization.py,sha256=rTWsOaQUOBhtyE4Y0QHx6ALT02lIyzsRQg8Jy4XWXyQ,8796
paddleformers/trainer/__init__.py,sha256=A9-aNMr3yFR2S2WCxKkuNJyOewU0JuI4bMcSIdcNrWc,3605
paddleformers/trainer/argparser.py,sha256=CUJ1GwOfYcQMUxQXlaaf5JSeGJSJseeTprjWyi9ruIM,21309
paddleformers/trainer/integrations.py,sha256=CRrWE4xCGH0_NNj9EpmQxf41yPZHEaSptm8C0gPPm04,24401
paddleformers/trainer/trainer.py,sha256=dy45tdpbKxyml0r2IGFNA0MSQ8FSpmj9zJi86pZCnlM,244330
paddleformers/trainer/trainer_callback.py,sha256=uDFYtCFh2Bt4AeYGt21LZPEqBaPjcSNs7f91g7ce6N0,36362
paddleformers/trainer/trainer_utils.py,sha256=FNFTF-YQhwK_IqF0zf_HWlC8qcZ9RpEZRcuK1dGtt08,85022
paddleformers/trainer/training_args.py,sha256=PD7AUwuMSrvx__RL53D2CQqoTOg6EFI8RNurbKLCxzI,168673
paddleformers/trainer/plugins/__init__.py,sha256=mcvMJL19EfvZtQcjG3ASmr709newIUo3yRtnhfTxoqA,611
paddleformers/trainer/plugins/npu_plugin.py,sha256=MPrUJTyTx_NzE8VkZCULztLBFfL8-znrcK6cWkhkvj4,4485
paddleformers/trainer/plugins/timer.py,sha256=jbbzFTmz83tbhL02_WSbvwr-bdCv8w5twNzdntTCbw4,5338
paddleformers/trainer/unified_checkpoint/__init__.py,sha256=x2eRViZ7pS2HP0h9uPEo0ozm0_i0jh2qf7_LJ_LKGxI,2633
paddleformers/trainer/unified_checkpoint/async_handler.py,sha256=sCS0a50DPReEhDh99jFcwbGb000scPFF4D8BZr7Pd2I,13223
paddleformers/trainer/unified_checkpoint/check_completion.py,sha256=Kphnfefs_RjtvGZNOkffx7q97uybQhTNlCPddx27Yqk,11487
paddleformers/trainer/unified_checkpoint/load_dynamic.py,sha256=CVPhnnYSQvrW-fBD9UjAF7ayQXaCBZvPf3XreGUDvw4,20330
paddleformers/trainer/unified_checkpoint/load_local.py,sha256=bIVTYyySNSFlPOZO97rncFPmLaUvBJcRJjcNSC52mWY,13210
paddleformers/trainer/unified_checkpoint/load_save_single_card.py,sha256=MgnjO2xf5-G8VpqOoJ5hHxVVigLi6-X4rhjit8rI6Dg,10082
paddleformers/trainer/unified_checkpoint/sharding_split_param_utils.py,sha256=UGM0kWcov2msbSrcuYVATfyg2Bjk5n90LWlVSAlhXvI,21433
paddleformers/trainer/unified_checkpoint/shared_memory_utils.py,sha256=dEdWhAyxelwnikLHpUhYoMv_C_w4-WFzRhM9aw9iq3A,4544
paddleformers/trainer/unified_checkpoint/unified_checkpoint.py,sha256=lhGgg4RpkjB19apj5UUcMtd0QAff_gyNwDBQZKvVvBg,34165
paddleformers/trainer/unified_checkpoint/utils.py,sha256=J_kst1koNUFWC-ShG-uOEsCd8zN9-Svkbw6IbrJjTvM,32338
paddleformers/trainer/utils/__init__.py,sha256=-bpKyjogogjymf90p7p6kYr2V4m5OL91IMkvev98JFc,1309
paddleformers/trainer/utils/async_save.py,sha256=diSUi614MUrhkRsDjjYpSRyzPpAeVo9lrIYHNfWChxU,4651
paddleformers/trainer/utils/ckpt_converter.py,sha256=pPk2KhOHXrH4tJIgTE4nQ8z_SkZpB7S7wmlyMh3fKaA,67110
paddleformers/trainer/utils/doc.py,sha256=FUsqEvpahhHdO4MeWYSZlQa1xvP62Izlbpu3pmJDZeM,1817
paddleformers/trainer/utils/helper.py,sha256=ntrMUz669zxgptm8w0WBzzEYB3GV7Xb6MEi0Mmm4VA8,12985
paddleformers/trainer/utils/offload_optimizer.py,sha256=ubK_8gBc4Mlqgzbv-3BEkZM8S4cUA3psetL-k-8mg2Q,4828
paddleformers/trainer/utils/sharding_io.py,sha256=BNAX4cJpGttdKDJj8nFZb9Qo3pR4i2vKpd6YqUnHzZY,41599
paddleformers/trainer/utils/zero_cost_checkpoint.py,sha256=9-Zu5J29gK6hrLl6tbsre2w-0R7568CwQAOs3m0rfSE,88803
paddleformers/trainer/utils/reshard/__init__.py,sha256=gChNQ56S2EWC4mhUUi2topcQd_e4vvAZTF66U6F4Pwo,1044
paddleformers/trainer/utils/reshard/common.py,sha256=6zkHisICu2pgkEMfazcCl5IigiI0gCwiPeLPuIJHd68,24279
paddleformers/trainer/utils/reshard/pp_reshard.py,sha256=KN5RDVSjaWNUmV4yJIvlrYsSqPo5u0LvNZ4QTK_b3HI,12985
paddleformers/trainer/utils/reshard/sharding_v1.py,sha256=gILOjkjW3Gn1PqbrnYz7l94lKh5xTeKb49CA76KTESw,1685
paddleformers/trainer/utils/reshard/sharding_v2.py,sha256=jhzELR91RiKDBx4auy5AKc5SdG_ZCYN3Ch33ECOpddc,8536
paddleformers/transformers/__init__.py,sha256=aKEvJLojNZaNJ6-bMWXybpwI8WxnFtc9moHRUbkahgE,12861
paddleformers/transformers/activations.py,sha256=4DfQvc1ZE5ZZ_b7fgZ87IgUa2IejzC4JxawwbpWC2QI,6740
paddleformers/transformers/aistudio_utils.py,sha256=3sqQj9VOXpA-u2_tcEiSc5uBt9TA2Ba3Md5Ovowd6Uw,2430
paddleformers/transformers/attention_utils.py,sha256=nPgsb5ABEcaZwoVfNB4oku_B5czddMkSTBHeMmir6lQ,25670
paddleformers/transformers/audio_utils.py,sha256=7Z5VDhcTYaED1XbYQFerQ1Y2Bf_CwQxuOohHJioZ43o,30812
paddleformers/transformers/auto_utils.py,sha256=WOBFY6uuM14u_Wa3lpYXiwkFU0UaAELaFNV62hq9DyQ,2095
paddleformers/transformers/cache_utils.py,sha256=VprYdd9C8sC4xqbkzbWV5N9xOUkQ6aswZNmPPK46Z1U,28072
paddleformers/transformers/configuration_utils.py,sha256=JV2Iuxf1aH0OoGFChtA3VuQK-oZCGT1vydzOm6c-XTI,78594
paddleformers/transformers/context_parallel_utils.py,sha256=Tn6baYhC0buZvzAwT5WnNtVxU0ivLIPbyB4SiLLbwHQ,3450
paddleformers/transformers/contrastive_loss.py,sha256=Sc_2ym3vbecz4Ql5cPxshaWFjmGviO7IJZLpzeiGOmY,6092
paddleformers/transformers/conversion_utils.py,sha256=dlV24m19bCsKDIi6FQsyRuM5Wr_s_4fKlUp4Wm09smY,61346
paddleformers/transformers/download_utils.py,sha256=pbfs_3qWWXBKfVL23qrYhiMn3QcY73gC4sj8AgU9gQc,48407
paddleformers/transformers/dpo_criterion.py,sha256=OBYfrHQIV4d9yjtPOCUQsSPL6-KJQG1h4lmkhQsOij8,17786
paddleformers/transformers/embedding_utils.py,sha256=CRrbeF0uosA-AarE-IGJInj5oVc80RK6Oc6vON0xwL0,1755
paddleformers/transformers/feature_extraction_utils.py,sha256=gEohpf0aGA83AuMITpRPB0gIvyoLYK4Sq5yP3O91a3k,18500
paddleformers/transformers/fp8_utils.py,sha256=WqjM3Be26qnPu0K_KnQbm45qf-_XRgdxU2-eFjAoMpg,49947
paddleformers/transformers/fused_a2a.py,sha256=ZBRSuFmfHROsSIBWy1_PQ7uU7EnSe5MCwV0GIdEIahw,11755
paddleformers/transformers/gpt_provider.py,sha256=6hez5HAmPvH_nC7anh9Yhk5FukyJnVu7YeZ3aNCOPLU,8855
paddleformers/transformers/image_processing_utils.py,sha256=ByjuU_3eosf6lMiRZN-B0RckAuGUGfbpKjWaEZ46sbc,12300
paddleformers/transformers/image_transforms.py,sha256=l_8Cg_kbcphFYV1JCV8MHZqRY81u1BEC6Rg8fSWbGo0,36396
paddleformers/transformers/image_utils.py,sha256=cHXfMFpGPDNb9cGUgU8KcoSkzUc0MCIf49fQ3V3jnMY,26795
paddleformers/transformers/kto_criterion.py,sha256=QoSrm14Lo9xFoZphfAv7l7t9_VY53GFp5DT5KNn9FLc,11408
paddleformers/transformers/linear_utils.py,sha256=zwP8wvYeVglq74fWdexmegsIPJ_7lJbSsmgVe47ieP0,3180
paddleformers/transformers/masking_utils.py,sha256=RCoUwQwNQAKnMFvu9BvEOSy4ZrpcKGKsitI4MVamj9k,15431
paddleformers/transformers/mc2_parallel_linear.py,sha256=jzNJlAzqW3YVa340Gxjzu0QehuQX1cGzKcE_9ggxH7c,8201
paddleformers/transformers/model_outputs.py,sha256=aST6q8tyiX7lROGMI-UP4fSRozLyTR56xOHkVYovBHk,84008
paddleformers/transformers/model_provider.py,sha256=Y_virqjMSfz29o2XQ3cjqrHnH-A8jJN4LskOhgCxJ3c,22992
paddleformers/transformers/model_utils.py,sha256=CTStdeVLkUrVkcNc0L7LxK69e1u742SDszalHOztep0,182981
paddleformers/transformers/modeling_rope_utils.py,sha256=YjNDiV8m6xwiDIqQKqypQ9QLu0fUZdV5nvFQsnsoMh4,50691
paddleformers/transformers/modelscope_utils.py,sha256=WCbyVKaJJVfpf4b84bnnqi0tEboyhocHQBeGZg6pQN8,2434
paddleformers/transformers/moe_gate.py,sha256=C0aFi-Q4W_S-tC-lyicoVReEOZUNgql5pN9ILXd4gt8,27231
paddleformers/transformers/moe_gate_auto.py,sha256=m2rWI9RSiCX5KhT7rQ_ZRXyccu--1BVQBhLwA4fczq8,28952
paddleformers/transformers/moe_layer.py,sha256=BzO1HK5R7UK8JxXCIaQ2Aw8ykX4EtuW71grIfHQi4zw,17286
paddleformers/transformers/moe_layer_auto.py,sha256=fJLX2FVXvnUgLmorWtQ4R9G-nflM50WR5YSMQpkj0e0,13298
paddleformers/transformers/moe_utils.py,sha256=k7LtQ-h4fMq44seYaK7w8JrST3Gti-cA_IXRv4i8R6k,5447
paddleformers/transformers/ofa_utils.py,sha256=k5Oe4Qp9GS7PgU2MHjsG-VT0Fqt2d5wYFuNgj2j5Y1I,12275
paddleformers/transformers/optimization.py,sha256=4WO1g9P_hPUddVnpQEMGWI--GQLejQkJDzt9RZLI6ug,2639
paddleformers/transformers/paddle_vision_utils.py,sha256=j5TaWueHNIsaXQYTbbe0fECQfzrMucImxrd8oBXoTZ8,12867
paddleformers/transformers/processing_utils.py,sha256=2EvOYmKA8UI6vbqjt_uSN0F0JUypQa52iChrSniOxdg,45561
paddleformers/transformers/refined_recompute.py,sha256=_j4xMBuuqzLE79PI4-INH20-hDwuWkYfaVQI4BZqBi8,29656
paddleformers/transformers/ring_flash_attention.py,sha256=8i6IxA6cck911bydG4JYZEWia4ITeEuaf_Ae32L9uQM,13254
paddleformers/transformers/segment_parallel_utils.py,sha256=orK0N1FzfEDUPqh9OPcBR0v2b6FdAY_YJlv9Otwuhow,6696
paddleformers/transformers/sequence_parallel_utils.py,sha256=LpEhFFz6XP9v17_XY71Ib2mdUth53G6QLJnNn8ZhVdU,4934
paddleformers/transformers/tensor_parallel_utils.py,sha256=21sKdXomf2w8V-YezNwSU-uLD_bbYibakdDMhC7Arpk,23250
paddleformers/transformers/token_dispatcher.py,sha256=kgrKgGtaQLAUzUIjCJdZAPUz4f_b_ckdT9qO8OiYAdw,11194
paddleformers/transformers/tokenizer_utils.py,sha256=L7XYFLusaPluFb047sMBWVOLyjhyRCVFK6xbdoHZ4H0,26242
paddleformers/transformers/tokenizer_utils_base.py,sha256=fxeCij8BTo6H0I8_hOB2ub38SZYNGnmz7g038ETT9DU,887
paddleformers/transformers/utils.py,sha256=KG9H0nBJX1MOli7vxwQt-O_Fw6pUtbAlGc_Pt9oKum0,36579
paddleformers/transformers/video_processing_utils.py,sha256=JqW_RUImdwyS8Z7c8hr4HW8UcseuAFyyMrxTj6FGQYA,40005
paddleformers/transformers/video_utils.py,sha256=nxtp99c54TGDmCXVJ-MJGBfPFld4_sqIJIscby6nOyg,26871
paddleformers/transformers/vocab_utils.py,sha256=dEHPq8KeSXEBsiV5BScVPkHd9ar_Pk2CpDGexZziLAU,2855
paddleformers/transformers/auto/__init__.py,sha256=4AF58aeSAqcfhiO0qykzfHo41c6cnYCLzH7WGf9ZeJk,2222
paddleformers/transformers/auto/configuration.py,sha256=pOtQs91m_p7HzGCVaitBJOqlThmQv1a1dwYl1BXMX8w,15352
paddleformers/transformers/auto/factory.py,sha256=094V3M_WR30N_tho3igGeHrzNAKJVzCHxdOBATmBdnA,5884
paddleformers/transformers/auto/image_processing.py,sha256=G8InJIpAGxoT-ODN-WCuWrJFmO7qIFVf1Fe_TzQmVdE,20732
paddleformers/transformers/auto/modeling.py,sha256=VgW29hS2raNpANF1CytwQB4Xqp5e4zq8_qf0UWGbPsE,42856
paddleformers/transformers/auto/processing.py,sha256=_0BFNjuzYE-uN1hypil8aJkmvRkNjTvOYU1K2rnOIhM,10457
paddleformers/transformers/auto/tokenizer.py,sha256=QteC5Kd3IHoo97QiuzxpCOtbIo3GfytWrxHUhV4G-ag,20044
paddleformers/transformers/auto/video_processing.py,sha256=lkZhtA67clA5FWDknM6F9g1t7zF1TrJR3ZERqa8yc0U,13804
paddleformers/transformers/deepseek_v3/__init__.py,sha256=Ewtgm4T02QQstQV6Z18WBLBORTZH82stxInk6T9ze8M,2225
paddleformers/transformers/deepseek_v3/configuration.py,sha256=LAbjSfDA95O8Le7-DxWVvzkCsCpdTDbVBFcseXTH2rk,11754
paddleformers/transformers/deepseek_v3/mfu_utils.py,sha256=In8vlWc8-qpSijqyKDaN5uSIsqW6yiUCBvIqmz3OAWU,9365
paddleformers/transformers/deepseek_v3/modeling.py,sha256=W2wfQ3KdJqipqHXNMatDeC2Rn7EZjtmFNSc0xCmdFqE,100614
paddleformers/transformers/ernie4_5/__init__.py,sha256=GVD8TFOLQjszf6vHGhAyc0R2quOLhANX3IW0VKqO4Zk,1166
paddleformers/transformers/ernie4_5/configuration.py,sha256=sVnbE5rLSD4TOFJvrAudxz3-lxg_ASz7zWpWt17XhxU,7636
paddleformers/transformers/ernie4_5/modeling.py,sha256=XOW9iO5gBbq1Da0rcVPTb2CE53xUq_DpvZiMJ4rx7WQ,41969
paddleformers/transformers/ernie4_5/tokenizer.py,sha256=Qrx7zQLUu5-8BBWJA07fuLtiSsm4962LTp3hdBVx6uI,772
paddleformers/transformers/ernie4_5_moe/__init__.py,sha256=neuVYQFw3TpHOK-_iYitBtqBw8NdutFGdb7TU9ZD3X4,1172
paddleformers/transformers/ernie4_5_moe/configuration.py,sha256=WzRjwCRwgpWk8qZVb1KNFbZZScwMAGw4roEq8NpfWHk,14330
paddleformers/transformers/ernie4_5_moe/modeling.py,sha256=BV7_RP4j0uYi8C8PJg58-3ldLrhUs-YpY6bdmGIzBhA,61387
paddleformers/transformers/ernie4_5_moe_vl/__init__.py,sha256=rVKIKmmu5AdnaC9NHP2SZPUTtDksY5vC2GFwBIP5gGY,1924
paddleformers/transformers/ernie4_5_moe_vl/configuration.py,sha256=FbFP3EhhAk7j3411Oq3BydqcPqOzV7FQERo20pL9nZk,765
paddleformers/transformers/ernie4_5_moe_vl/image_processor.py,sha256=gQFt6xVoaLV14DBlFRMxYcIF76Jtcm17MSwrJULqIHg,25273
paddleformers/transformers/ernie4_5_moe_vl/modeling.py,sha256=zho7jUZNo08eVdmIr9vmP4HEQ1wK8iAQGEId1zUpILM,1090
paddleformers/transformers/ernie4_5_moe_vl/processor.py,sha256=sFoUjEBNRdILVLvT-yOiGpqKAHm0uf_S1Ke_rKSty5k,17334
paddleformers/transformers/ernie4_5_moe_vl/tokenizer.py,sha256=2y_J4f5xYVJ3nSGUNywRxkqv1smDmyDayxRSpZH9yys,11121
paddleformers/transformers/ernie4_5_moe_vl/vision_process.py,sha256=jDmHfPnBmvw7CYCAzWXRWf5SnzNpQqprlMX787Z1kmQ,12500
paddleformers/transformers/ernie4_5_moe_vl/model/__init__.py,sha256=HWpsWxlxkHUD6QvHahkACMoysx43d_rNacqPL-Zl7fs,1193
paddleformers/transformers/ernie4_5_moe_vl/model/comm_utils.py,sha256=Uxda5wdQluwZEH8PMKA3KJZyaI6eq5YzryYpEUtwbwQ,1678
paddleformers/transformers/ernie4_5_moe_vl/model/configuration.py,sha256=bn7xuUkfIfm6CjojAmZbqzp0icwIW0FPn52-qdsnJe8,24617
paddleformers/transformers/ernie4_5_moe_vl/model/longcontext_ops.py,sha256=9GbIWyESYuIEYodtIdAY8HPs5IBeumOUad-oOLiJRcQ,16867
paddleformers/transformers/ernie4_5_moe_vl/model/modeling.py,sha256=nsrueBWfYu7q9I6esz_h-0BuXaKvEY6My6txYSBJBZ0,69212
paddleformers/transformers/ernie4_5_moe_vl/model/modeling_moe.py,sha256=qo9FN5MD37Fmj9wJ4JHbCzZ7lRLRdb6SA8wv37naT0g,73465
paddleformers/transformers/ernie4_5_moe_vl/model/modeling_moe_pp.py,sha256=FSJkoIfrT1vJV0TWnruip2Dss4mvSwuz7rh1-aWh1PM,13639
paddleformers/transformers/ernie4_5_moe_vl/model/modeling_moe_vl.py,sha256=dCoyi79Je_KMo-Y8o_zrNfTEivT_QLwH7PI17CxSGSU,76268
paddleformers/transformers/ernie4_5_moe_vl/model/modeling_moe_vl_pp.py,sha256=5bIDpdkO7A1si0yh_zWw90FdL61xKfdtLagffGbPPCE,57837
paddleformers/transformers/ernie4_5_moe_vl/model/sequence_parallel_utils.py,sha256=kpOnfIkWrPTA8GqmbZpc02FCJo7t-eD0UjsOeFGm-CI,5234
paddleformers/transformers/ernie4_5_moe_vl/model/dfnrope/__init__.py,sha256=RYZpTjonoGJXY9mUcEakPBggdqudfQ0sRapzRsyo_vg,907
paddleformers/transformers/ernie4_5_moe_vl/model/dfnrope/activation.py,sha256=McgqDqs0jgCP1URyPTSM-TNDZumyvgZpAkQj28oT_vU,7963
paddleformers/transformers/ernie4_5_moe_vl/model/dfnrope/configuration.py,sha256=YkhD1aHtxijHAYc6KA3HVcm2PL1E5fOYTNvwAaJ60ys,3424
paddleformers/transformers/ernie4_5_moe_vl/model/dfnrope/modeling.py,sha256=VmQeiteLQrxMy5u-00KiexB9IwId6HItJ_38nzSvPss,19338
paddleformers/transformers/ernie4_5_moe_vl/model/dfnrope/modeling_pp.py,sha256=PhTySe-iZVQ_EgWvLl8xCSjmfEDgieloCVA5PTk0GWY,4743
paddleformers/transformers/ernie4_5_moe_vl/model/distributed/__init__.py,sha256=f1FizQ7pQwTLZp-4Xsm8BGr-TWLu2_4lT4N8eW0n2ww,3953
paddleformers/transformers/ernie4_5_moe_vl/model/distributed/common_dist_utils.py,sha256=-oEyiWvY_bpEGnOmGE93c7bHjN7Flpa6nW_mKOnrBy4,25469
paddleformers/transformers/ernie4_5_moe_vl/model/distributed/xpu_dist_utils.py,sha256=RZJw8wWE_YNX9DYG0k0DdnlDRa4rXLZMSP3AWuClkWg,1475
paddleformers/transformers/ernie4_5_moe_vl/model/fusion_ops/__init__.py,sha256=vye5wZOy1EOm_PiwUDXzKqp0kwaNWQyWsIOAJqEbs_4,2846
paddleformers/transformers/ernie4_5_moe_vl/model/fusion_ops/common_fusion_ops.py,sha256=jDqG8pZ09Ik_8Mp5p495_v9SZuf6ORJih-N7Zm3dMSY,5672
paddleformers/transformers/ernie4_5_moe_vl/model/fusion_ops/npu_fusion_ops.py,sha256=Q1y8Z8LE1qJvZ-S56bHjJbbgFGVm2YaiTFlGr0MkO7k,2766
paddleformers/transformers/ernie4_5_moe_vl/model/loss/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/transformers/ernie4_5_moe_vl/model/loss/dpo.py,sha256=wE6Zm7SiVwsNxVWNmxOE9nYN5sZNQqMuxzVucu3JH3w,14124
paddleformers/transformers/ernie4_5_moe_vl/model/moe/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/transformers/ernie4_5_moe_vl/model/moe/moe_all_gather_layer.py,sha256=zeyRkMtDv8H9vTYPb4LMrB3A42rHGJyjD66t-XE9rsI,64902
paddleformers/transformers/ernie4_5_moe_vl/model/moe/moe_layer.py,sha256=0O1nSiVZpGqre58sday-DwHZjkhvAC2VTwdNf2X5duQ,34484
paddleformers/transformers/ernie4_5_moe_vl/model/moe/topk_gate.py,sha256=S3jv6RF4ETvc1jVyRBD6y8FAn4HEtPzkNcHzDbQ5hoE,22345
paddleformers/transformers/ernie4_5_moe_vl/model/refined_recompute/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/transformers/ernie4_5_moe_vl/model/refined_recompute/utils.py,sha256=xal1M8hVv1X_5Zd2XXC1VAtm44t4XkYz8_Q6CKSf2Ck,12618
paddleformers/transformers/ernie4_5_moe_vl/model/utils/__init__.py,sha256=DQ05rhaxsJ_AF9fK_VGfp2nPBwf5O-oHEHge-8lOB7c,610
paddleformers/transformers/ernie4_5_moe_vl/model/utils/misc.py,sha256=xirRNJJFnQHo-xiiR1zWGiJHMh1Alpje_MpWQoISiaE,7763
paddleformers/transformers/gemma3_text/__init__.py,sha256=DHOXE0RPjHD9XoIN3iwd_gbpXq47Mf8mb821_cX7f7Q,1129
paddleformers/transformers/gemma3_text/configuration.py,sha256=M_K_1S4SpKTPvmyk2FTYSlAKAYvXg9FDzvnMGdPNl2k,16303
paddleformers/transformers/gemma3_text/modeling.py,sha256=VNGkzKfY_srjwa5yIF4R-opAraOospTb8TyCwumWNmc,38482
paddleformers/transformers/glm4_moe/__init__.py,sha256=TcUjeBtusEahhJ70lNQkhb6wHsecywmXhmNHL2BAc1Y,1259
paddleformers/transformers/glm4_moe/configuration.py,sha256=rZwuroVaS4Gvg1MqrGp8C48vTzfCw55-gU1iV7yuzKk,11472
paddleformers/transformers/glm4_moe/modeling.py,sha256=cdHTUIPJlr8NAii53J_w974P7e1sJxMFWuVRzbeETyA,70537
paddleformers/transformers/gpt_oss/__init__.py,sha256=rFaPx_Y5QSdHFN3o2lJEh1-ZU2vlkszQlI-fa9lgRPE,1143
paddleformers/transformers/gpt_oss/configuration.py,sha256=5p-kbhzzN57bUs-GZE7inqc2865MRM5rFoKYcyHQrBs,4155
paddleformers/transformers/gpt_oss/modeling.py,sha256=LdM_i2oM4h49M0gumbFtrUwVzsnrlN1wFiiM9-xPTro,54399
paddleformers/transformers/legacy/__init__.py,sha256=4PLlfEmIKM1O_h3_U0U-gjnI2RbW3mEs9Q0KtC49e74,1643
paddleformers/transformers/legacy/tokenizer_utils.py,sha256=O7FdZy3HqLknDi4MdWwPu1mYrIwI7OK7baVyIG7oqWc,92472
paddleformers/transformers/legacy/tokenizer_utils_base.py,sha256=haKV048HHpe5OnJyvSv7yAFZwO-ex0nK8KA1DrRgjX4,172969
paddleformers/transformers/llama/__init__.py,sha256=VM4DNw-AgD2ZY9pn2IdLuUVLxI6jdFGE7U29W7Bm4zo,1253
paddleformers/transformers/llama/auto_dist_config.py,sha256=CwErf2hYT7IBSvEMJiltCLMtleDV4mBI88FgXVNCNO8,1835
paddleformers/transformers/llama/configuration.py,sha256=I9NZCRlvywvPZqpE6XpFwza-aMMu2Gb0gJCipQ1bu3w,2817
paddleformers/transformers/llama/modeling.py,sha256=6GF4mtsdi4OB59UWJ5n8RhiZQuNtNBS_wKlwZS4tKxQ,26133
paddleformers/transformers/llama/tokenizer.py,sha256=tG6ee-JLIfdc_5Jj8e340wlEqRcyb4OA2Q7uu0zX67E,924
paddleformers/transformers/llama/tokenizer_fast.py,sha256=nbWgTJPbhTJ7td73hROlRuZAyU5oXFh9p5qE0AowXlc,786
paddleformers/transformers/paddleocr_vl/__init__.py,sha256=z1YckbnXg7fmsPD_gfgxevQ6XQw3XHWlhOdzdaDzdzo,1209
paddleformers/transformers/paddleocr_vl/configuration.py,sha256=6ivzJlBF-_BsygWKYaWtSBlRyAar8Hxtd1HZD61rC7I,8143
paddleformers/transformers/paddleocr_vl/image_processor.py,sha256=QlDA2SUerua-n0fJkRTpprvsOPfWqnzwADykvESoLHw,14029
paddleformers/transformers/paddleocr_vl/modeling.py,sha256=vOW0ahqgZIkpORBVRTwXdRNwNWYQPr2NhtrErcbxF0s,91284
paddleformers/transformers/paddleocr_vl/processor.py,sha256=rIHChQssLa90cv7vofHC1mIT_khthQp501jR4yuoGIY,10751
paddleformers/transformers/phi3/__init__.py,sha256=5qTZIpmuM1XaLDTtXcEDqtWeY2GxAV76-fJnu9dFSwo,1145
paddleformers/transformers/phi3/configuration.py,sha256=ZREJ0hE-OeoT_crBLthksgN4d3G9JI33qB9CjaivGWo,6453
paddleformers/transformers/phi3/modeling.py,sha256=QxGkbWRF_U1ugTLD3bJ6UjioNOHR_QCMRrtZPDaO7zs,30192
paddleformers/transformers/phi3/tokenizer.py,sha256=5vKW3e3VHgGqeKODJANYyHW4DFEJI1SwnXRHJp_p5sM,833
paddleformers/transformers/qwen2/__init__.py,sha256=xb1j6Fop6kjJmDQSKyXGR5H4-VzLBgguxU3y0x_atWg,1484
paddleformers/transformers/qwen2/configuration.py,sha256=nJbN62MrcBgtNmWctU8u__sJea1YQ7anMnTI4ccJi_o,10962
paddleformers/transformers/qwen2/modeling.py,sha256=s_3EAb9WxK06LQtic4S_EUQhFqrqmJngHqMpi2JRGlA,42551
paddleformers/transformers/qwen2/tokenizer.py,sha256=SxbY30CpavZ5JcAjOzgy1BncaXHb1VQulCADCoPi8nU,832
paddleformers/transformers/qwen2/tokenizer_fast.py,sha256=cq4NRMyc3MEm85YVJWQs-tWleglmlCkjhih4jNJ0omg,840
paddleformers/transformers/qwen2_5_vl/__init__.py,sha256=mISDth1QJX1awGXe7D_ZtpR59n_89UbEu5x_NeG9bUM,1351
paddleformers/transformers/qwen2_5_vl/configuration.py,sha256=USu0h8ZgP_GGFJJO2wNvGLqdvyynS2Xxy08Nsrc3Okc,16457
paddleformers/transformers/qwen2_5_vl/modeling.py,sha256=ymNX3B9vC2wjCSCKoV9WfhDEuDvSbvewO6VdsXNq-ek,95136
paddleformers/transformers/qwen2_5_vl/processor.py,sha256=vixFdRDxva1yY1tTpFdgE4oaJBJy_NRY0f19YXYB8bI,13759
paddleformers/transformers/qwen2_moe/__init__.py,sha256=1rVQP11-ANjRAFDRvDp2BHGmQlTh-ZZlOWadwB9z4fY,1247
paddleformers/transformers/qwen2_moe/configuration.py,sha256=DW0f3uGg_oj6M4rl__NdfoFHd121CDx_r3SblO0yvEQ,12711
paddleformers/transformers/qwen2_moe/modeling.py,sha256=nTkUd5_9oDcNh3zEq6GMBIjoOQDpE9ZWtecCwtVOSoU,46338
paddleformers/transformers/qwen2_vl/__init__.py,sha256=ri6wnEUAg10Jn7N_HUPiCsrVvkVGokN44EqhsS2ctqk,1305
paddleformers/transformers/qwen2_vl/image_processor.py,sha256=ZiN0Iu3aPYxznfhWQ97udMJaUZXbVscaeMLolstRbyk,1222
paddleformers/transformers/qwen2_vl/processor.py,sha256=TXJJihNESOluOYJEYQKfo7TCNoL0yQpLCUOKn6pi1zo,12420
paddleformers/transformers/qwen2_vl/video_processor.py,sha256=iuyYBJcfLQ4RazOvzz4GuV9y-s8Ac13N204fOoHGDMg,12587
paddleformers/transformers/qwen2_vl/vision_process.py,sha256=TkixPOb8Qn-a7pZxyNLm1p0DxQ0qvqSoUeM-ogne45c,20686
paddleformers/transformers/qwen3/__init__.py,sha256=H7bHUysLF3ZSqPnL1xsnS__QzaujYjlcygQZJ6jGPTY,1425
paddleformers/transformers/qwen3/configuration.py,sha256=h9EVeA5y3t7skIc86HyeQP9mM5_9bJ94Gt7520v6Kms,11296
paddleformers/transformers/qwen3/modeling.py,sha256=KSdMfpyHuNI9nlIwYAqFtZUOGlP68RXvV3ouZwyCrCM,44053
paddleformers/transformers/qwen3_moe/__init__.py,sha256=J0EG24hgI00O0WVyTnP1d9UcXn70Y0cZCy1P9oB0no0,1276
paddleformers/transformers/qwen3_moe/configuration.py,sha256=CJLfFSgJ4nw8-H4_vGPHVOAKUtGJXF6IkV2HnKrvaIE,12483
paddleformers/transformers/qwen3_moe/modeling.py,sha256=BfqvsQJ-eqmA4M6jy7rSBxeD2D3ReX2h4QXt1zY7Tgk,63457
paddleformers/transformers/qwen3_next/__init__.py,sha256=q1cpJZVAGU99wNoeBQX3wWAtPJWdHUYi7KoYoUEd-C4,1240
paddleformers/transformers/qwen3_next/configuration.py,sha256=YvB4dSiIc74sFPDcNmF8a8YMSIsN0f5D-rKkG15r8BI,13895
paddleformers/transformers/qwen3_next/modeling.py,sha256=4LtzBtyn8C4VRtlzzU_xfzHAxDkVctGfodEGJjje2lM,53408
paddleformers/transformers/qwen3_vl/__init__.py,sha256=FP2HtkoonufHcP01BrwQq06luTpeb7A4ffjkphDA_yU,1525
paddleformers/transformers/qwen3_vl/configuration.py,sha256=ahq4ugsyyWbsPggGMgkCwjf5_mJ2vJNFzew49b6I4V0,15362
paddleformers/transformers/qwen3_vl/modeling.py,sha256=EjTz22C0jUoC1oxJNsV-oIR-FqTnkRCnrLcHzZ8lpOQ,101495
paddleformers/transformers/qwen3_vl/modeling_fleet.py,sha256=Rqkwj2djYQlgETHBvV_eB9zYJPtBey9LTEUuRhRHI54,77353
paddleformers/transformers/qwen3_vl/processor.py,sha256=qq0e6oJ7xvj1u5avIuFb43Wx5O4xR0gh7p8tInI7j1A,11533
paddleformers/transformers/qwen3_vl/video_processor.py,sha256=ij88rqrVdBS7ZwrC_oyLQnoqM73_3G8Ji1UOv_7ovbs,9011
paddleformers/transformers/qwen3_vl_moe/__init__.py,sha256=QIN3TBO5us4oMxbT-JrA1U3vn9Dw-ajgkct0WW0DToU,1459
paddleformers/transformers/qwen3_vl_moe/configuration.py,sha256=TOCF2C8xuzkius6CMXTC4fBFcH8TOpcUvS1eaDK7d3o,15871
paddleformers/transformers/qwen3_vl_moe/modeling.py,sha256=T7coDfKlmKNAZY4vZaBhJjmE2LpoAaQkZxttomL-aOk,134157
paddleformers/utils/__init__.py,sha256=9MJtfZqBKUoHhOaauERclVZrOUFCe-ynnxwrx-8oK5Y,4801
paddleformers/utils/adamw_triton.py,sha256=a8S9DuOm28LU3BqxO2UbGYX9SIs2VmAR17WkVpOUbhI,5790
paddleformers/utils/batch_sampler.py,sha256=y-oMAvEUH1TqrmcmqltY1eL6YRUvttR7KURsoC2domg,7267
paddleformers/utils/converter.py,sha256=1avXvP_Ouz0DKN9Q5QIHoTlCVXUVCZg4KI2QUidSzOg,778
paddleformers/utils/distributed.py,sha256=V3BS2oqg8wUFs4Alt6rgs_D2ifkvxGy9YDlg-HqMDXI,8249
paddleformers/utils/doc_parser.py,sha256=EFZWVlWyaGSSAOFb9GQVXXIM4TlJ8EAtZaQhz9HYTtE,16069
paddleformers/utils/downloader.py,sha256=UUOKDqDKE-rI9mQQ4EtwEMHdN9VOza76wTdK7taNFBM,21637
paddleformers/utils/env.py,sha256=HYIgVWDx9V1SbjcOgHQ1TIn7RQKlPdu1S8zgaCEr3C4,6357
paddleformers/utils/fault_tolerance.py,sha256=sjHcJIyl1q3LD3HeQaVP_076VGBcPHbBHKxNYSFELu0,1023
paddleformers/utils/ie_utils.py,sha256=60vzQ8-1M3uGKVY-S1KoXaZLKXb3FvfBpGBEBpm0t-E,5021
paddleformers/utils/image_utils.py,sha256=izOr_CXcune1H9dLEoOIq1K89eYtLBPwxGVyZYp6bZk,23077
paddleformers/utils/import_utils.py,sha256=K9HYGV05iUbiRe7J0LexNNZBhxhGxeKpO-cC842ecg8,13735
paddleformers/utils/infohub.py,sha256=qNLyXKn04K8d384Mz5qMUlssv33bic8SZhb4gM9Ro6U,1614
paddleformers/utils/initializer.py,sha256=6oTQA1xV9o4VkmQjqvOPjkd59Nxzli_AcU6MIDlazfY,11051
paddleformers/utils/lazy_import.py,sha256=mN8Mcn53Xayx66V02iSJ3wjFhSbwOLcMeZufSaw3o4A,4509
paddleformers/utils/log.py,sha256=DiMPOeVc67K2kfv0CvR9Mu2lMTDMYT43BBQAwccMx7I,6444
paddleformers/utils/masking_utils.py,sha256=H8IEZvcLPZrGlDMd6P5QXgu5IKrSfvbuG8hVKUdGrqI,10324
paddleformers/utils/memory_utils.py,sha256=jsYbJLwWgTAqtTEnxbFVwvbFH026_exRNHXXJ3sZD3c,1208
paddleformers/utils/moe_hybrid_parallel_optimizer.py,sha256=1qHrx3tJioxXPiiLnwpBEuKWYTPtwEvEE_bnFoshz1I,16331
paddleformers/utils/nested.py,sha256=aBrLwH7GhT8bwQvoUb60dHNLmUYpxLq03Q_mwBxAOEU,4219
paddleformers/utils/optimizer.py,sha256=bIhDxJHTTJ_haLM6XShimtVYQCqCVXIQnBOnT1u1y0c,24731
paddleformers/utils/paddle_patch.py,sha256=i-_Q8TijR0D0S1R1XpO9hGVMnoDX8OPZ9XlJOvt_2mA,5163
paddleformers/utils/pdc_sdk.py,sha256=1wz8nc2Wvv_cQHS82xyx2Aru6lJbbq1fpZYDnaEBIkU,24609
paddleformers/utils/perf_utils.py,sha256=S3bUMrefSKECe7rRmSvgXq40xBrII2YMhlxd2aprALw,4255
paddleformers/utils/profiler.py,sha256=BtI-Mmqlnov_t8zW2mdJn0zIKXPZhKyVgIpGkhBr3sM,5413
paddleformers/utils/safetensors.py,sha256=GBNCNUezWn4OTE9bZqnH6PEV_XVOicjn4zyjW-bnovM,10325
paddleformers/utils/serialization.py,sha256=LXqFp3KAlbfq4jjdVMR4EK56iBsZN9kp3Kl2XjgeH-A,10249
paddleformers/utils/tools.py,sha256=hk6Xe-MqNk4k6uZ-y2qt416xvpxlm0e1fWKLaAGcM4Q,10889
paddleformers/utils/type_validators.py,sha256=-ppU9Yvxs--tYgGPUbXPX72luKSxJyDTQb1taejYQnM,5530
paddleformers/utils/upcast_downcast_triton.py,sha256=EYykLCcizjzl6DM4VwdaolVucZGXktP7-TPFsTae1Mc,35937
paddleformers/utils/download/__init__.py,sha256=wL_8W-BkExHe8l5C2pum3zgZYxAM1n-pF6EuBKh_NiU,635
paddleformers/utils/download/aistudio_hub_download.py,sha256=Qas6VURElmDm_dUSPquKZ3GI-kr6sleKE2stinLgNuc,28515
paddleformers/utils/download/common.py,sha256=XFw7seIiHt6ZvB4kOVE_NotJa1yGVKDGc7y6yzUbTpY,27929
paddleformers/utils/download/download.py,sha256=H8zMz18LE_X27Xb8QYZIWIdntR2diphPZw3tzksezfI,13890
paddleformers/version/__init__.py,sha256=wy_52-ANdWR1G83NoCTRxzs6o0z56gjOkkCGirh-0Vw,547
paddleformers/version/git.py,sha256=-c8YhXjU-9V1ovlEvDojRKje0ha8FHKnow9qHBJA0X0,1688
paddleformers-1.0.0.dist-info/licenses/LICENSE,sha256=AvxSadOhXuBX2rcKkEBXb117jxseoxp3aKW51Ug0wTk,11438
paddleformers-1.0.0.dist-info/METADATA,sha256=WrPHB1CqSLladl0lBQTP2O8vhMAPDHCFxEQB_agF-Pg,6132
paddleformers-1.0.0.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
paddleformers-1.0.0.dist-info/entry_points.txt,sha256=TvGXnVSOo6bEqCMvPF5HcnemjiiM-NmCHEgD0uaDv_w,65
paddleformers-1.0.0.dist-info/top_level.txt,sha256=rodeGV_Y2id9gzqQvRgPZMuZSTsgAENFpD5SZ9i0N_Y,14
paddleformers-1.0.0.dist-info/RECORD,,
