sat/__init__.py,sha256=jrOJqx2yXFFApMRPkaJxNAu6ce5P1k59pbP7g7ZZQzA,460
sat/arguments.py,sha256=6x53JiIhtHATaKG_iCwqHTXESvqEpAqIJTe3thJ9dLk,26842
sat/helpers.py,sha256=CUdpv4E3XSU3ud0Ka5One9VLu_YHo9DvTSJSy1fctKA,5336
sat/transformer_defaults.py,sha256=aOouzoaaHDO9MXgXHscV4zfg9mZdlAVXGkvQyoM0rAI,12143
sat/data_utils/__init__.py,sha256=orU9dOiiY3Xs1_KZbX74iEbL_Muw_uYs-YffoZzYMV8,288
sat/data_utils/configure_data.py,sha256=5jMit9JAe2Ty2LjddSUahDgYn22JDsmzDFGqS-ciG4g,18229
sat/data_utils/datasets.py,sha256=77zVBw7IFlstCpDG2g8Pq807UtI8mkTzenxo1oigRrk,2901
sat/data_utils/hf_dataset.py,sha256=BtEm4-H18Kb8WUEnIldTLqxjW7VVHO0nfoK5I-SNUTU,1894
sat/data_utils/jsonlds.py,sha256=61JIYj02CdnRWgWcSaAH4pUy8__mtg2QrG5IMAvhaNk,2241
sat/data_utils/samplers.py,sha256=Uq1xp8gLc8-UNgLyb60Qm6rg312H4FHAHjiWGErIVng,7028
sat/data_utils/webds.py,sha256=O8FPPVvFLuSURY22rL3a6DG_2z1xE9AAMfLNG_Ox7gI,11994
sat/generation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sat/generation/autoregressive_sampling.py,sha256=Pj8RT1YSPiT8f7-WIF7X7FULuTimMZ4rhEX8ex8svqA,10068
sat/generation/cuda2d_sampling.py,sha256=JhvLbRBHjKiEB4jXsR5LzRwNEcj6Z0NsMxvJc7mWBx0,3218
sat/generation/magnify.py,sha256=4qbZn5E6vZoxqXOnylcwj_aVPl2aTX4KaS5v0KBd4qE,1709
sat/generation/utils.py,sha256=6yKqkRjJ60jNPP8RhmBLorXcaTc7_c0Icp1WSeevVmY,3201
sat/generation/sampling_strategies/__init__.py,sha256=bM8MjUxkiYImtmHqxfhVar6xNR7KvUmj9R9Xk-nl_vA,161
sat/generation/sampling_strategies/base_strategy.py,sha256=k7gBGTyG53YWBHSqQ7xeN3DKFtrg_64dzl5h2CR8WQ0,4302
sat/generation/sampling_strategies/beam_search_strategy.py,sha256=jy4KCsZY4f-hkfqHWHw-ssSUaTi6bY8LP7kfylMqiU0,7659
sat/generation/sampling_strategies/iterative_entfilter_strategy.py,sha256=OFVOgFMVAyM5_iXlCUyO6g0pRm8Dw2KV6XsBRcVPLcg,2270
sat/model/__init__.py,sha256=MJJtQp7yNXs3xoYJY0aW79jiExIBfdiSdGOf5D62ocA,214
sat/model/base_model.py,sha256=oylLvF4jCVQHK43o3bbJ_T9RFbaPXo77Fe6guT8QCW8,20620
sat/model/cached_autoregressive_model.py,sha256=qQLW6aCv-X-3t0MVH1Eo8-aJ2yrSVsKXB7ZSwa-5ll4,2054
sat/model/encoder_decoder_model.py,sha256=m5I6Bt5klmPN3B8uMhLlW_Y_h1CJYIMs4BvTJVZkDeY,5479
sat/model/mixins.py,sha256=2vP_aD95rL_3FHCDhaGJMXQlLQclaqcvj46xdH2lMsI,391
sat/model/registry.py,sha256=ynFKH3qXy_u00Aa9L7gfIVBNWp9YpBO_Gs6U5A8QwkA,1199
sat/model/transformer.py,sha256=z-uIvX3AfON6fW41WfXaZU42U3wrH_52NX2ZOvnjYrA,32587
sat/model/attention/__init__.py,sha256=Np1hNBLZ4SPS7T2wlutfyCLMbtxdHiuWE5vbfwSDPuA,110
sat/model/attention/memory_efficient_attention.py,sha256=eKxGHMJy3Lj4RyIV_D87RqaZvzdWeAdXXOopzhv94aI,3654
sat/model/finetune/__init__.py,sha256=-dBQ6-Mqngc0E5yEz-BberubonPOqzpASiIb0cZFVQM,187
sat/model/finetune/adapter.py,sha256=XMRyACWVppmT8pgA6xc4symiHTUp0bF0ejFOWNaqneE,2659
sat/model/finetune/ffadd.py,sha256=zzDWLxbMCzp7C7XMKecrNlCVHyLu1bm7iAb-duCVC3M,2019
sat/model/finetune/lora.py,sha256=ESu1uC3IHn0mCDW7aS00zP3BGHSD_ElPzoNVmTxWvGo,3879
sat/model/finetune/lora2.py,sha256=DOHPjMd8yaySUJDJkuamAiEiG-h6BFEERPQIM44T8Ic,13697
sat/model/finetune/mlp_head.py,sha256=1NbQeqiLbx8BMiSbhJCL8FCezHjb70r1E1_QazuzLKk,1110
sat/model/finetune/prompt_tuning.py,sha256=epbr4mrVAa1K0p2vMmuiMT3AslPDYieQ-f-RiRkppmU,1611
sat/model/official/__init__.py,sha256=8WFoEkIRVhEfyDzIEtgtm5pED_bzEotXDPXMU5PSCHs,718
sat/model/official/bert_model.py,sha256=kJZttTRGQQnT1Oh-lTSNuEW4WtyYXgmr74LdSd17MWg,1923
sat/model/official/cait_model.py,sha256=gTRO3VMid54R0IC-efWQnpd_6rL_iHsOOq24ekkrIAk,10409
sat/model/official/chatglm2_model.py,sha256=iy4g8_5N4_mjWJpW4w_sQ_398KUZnC3fgz8HCrV_S_Y,7241
sat/model/official/chatglm3_model.py,sha256=wyisDkMWQzl5nTsCvc0Mo8eW-84INlydKGsaxSrgT7I,7286
sat/model/official/chatglm_model.py,sha256=vuIkisrg8XoonLc9T8DNZ37bwa6Ns6hJzuA8XaXZ_Is,11846
sat/model/official/clip_model.py,sha256=ZblrQNZIPZx-wGuLu2W4VWuCXyXHjuRsR3ULenCnl1A,7294
sat/model/official/cuda2d_model.py,sha256=OJT3KHfvUDIMDIwnT8et2GPfUZiSknZAobX3N-tQGOo,9612
sat/model/official/distill_model.py,sha256=ItbUZMXlgqN6Yc_F5U0SZzthZF4oMCIWwGkK87pk7qI,1310
sat/model/official/dpr_model.py,sha256=jCnjwSfguCuS4EEXBIsOOyPtko-YOMZjeu-ZHA_1pW4,3942
sat/model/official/eva2_model.py,sha256=YRDUePJcIThVKvmi_0_cj4hSYZUKc8GS7YqygkEt1ms,7369
sat/model/official/glm130B_model.py,sha256=mCKnFMd2iFk30836KTruHorGzOmZ5LvAhxq_T7GtrIo,13903
sat/model/official/glm_model.py,sha256=9cyJ4wvH4_GVUGr28KyPkH-ljgu1RyZcXwEumJ2Aloc,3751
sat/model/official/gpt2_model.py,sha256=9jjxZSVIdkb4ETJF_I7ClHWaEPOYij03MJK7n10qgbo,978
sat/model/official/gptneo_model.py,sha256=9CS1sa7p0X050TOdVwo106qmy9Ae03PF-EqHzlwcA1I,4648
sat/model/official/llama_model.py,sha256=luHFzg1JDYg5NfM7AshnBCcfxZPMuIhaZuYkjyyQC-E,5165
sat/model/official/mae_model.py,sha256=893S3_7ZgAxME4hX5JuSAeKzQmB8zT0SJZ5U45rFFRI,8336
sat/model/official/roberta_model.py,sha256=rHm-gV5efqmKZ7sUA1lKe-b_lVfv2rxImUgLmcHrxUw,262
sat/model/official/t5_model.py,sha256=MYITu3zXXEEsZEX96dyENomtXYx8Wnzvb84B5XSp_eY,14715
sat/model/official/vit_model.py,sha256=aq8n2cqti3jQOUNCt-VcKGn1AB8SrUOviFzg7sSTf7A,6325
sat/model/official/yolos_model.py,sha256=VvcwAjXtmtOCaEkHVQxDL8UKY0EJIkOgbdX8DN2R830,2969
sat/model/position_embedding/__init__.py,sha256=wAbk3d0smsFGCMxT8TmcvAeAdu3OKhk4LtBQ3pHAarE,354
sat/model/position_embedding/rotary_embeddings.py,sha256=fgNqNnkrKKfLKT2shZuFadkPkNSkW94y_50UBk4dunU,5382
sat/model/position_embedding/rotary_embeddings_original.py,sha256=XJSdIbavkmo92XtcHbccL00CjdQPYhV_WUKZqufiQnQ,2796
sat/model/position_embedding/sincos2d.py,sha256=zlim49dZQ8ThGxhRQHIxIScGU6ecClT_3dV2HmcKyAQ,4078
sat/model/position_embedding/triton_rotary.py,sha256=_7QtiSgBTxI5OJd64TKLOnkR1Vrlo690-7ylgi73lXU,8614
sat/model/position_embedding/triton_rotary_embeddings.py,sha256=Co7SmLgkeAkar_ztDfB4VUoXwAk9oL3hUNq3YuP4zHE,9888
sat/model/position_embedding/vision_rotary_embeddings.py,sha256=9T6ROVsVjAiuw_zC17b44u79dGhAscGFrc6MJF0yngk,5021
sat/mpu/__init__.py,sha256=_cBG0s0R6Rmg5eOI81gXf2NDQ7S6uXtclAIUy9HYZBc,2263
sat/mpu/cross_entropy.py,sha256=YhCWRsjUlmHkhbazhXBH2eBQfotQtGJBre72gsNOo0I,4716
sat/mpu/data.py,sha256=CaGlhNHml85g4x_pw_hvUZet7oQ5oX1a5aLJuzp6Ge8,4018
sat/mpu/initialize.py,sha256=pEH982B34TF5tXgkcUEw0ejFsnHLJrTKVR6nZNQrtrM,6707
sat/mpu/layers.py,sha256=E076Je2vq-wl4pEDCugxNzl9OC6KCdGGTJuKdLIHCWs,23635
sat/mpu/mappings.py,sha256=IMgM9b2MgAEPOsmCyxPa6Ll9mG3wzEAhssFWX7zr-hg,4136
sat/mpu/operation.py,sha256=5-_LzARKBGEjUVbZjeSjUeMjHXc8Bl9InhS0ukfRbb4,6067
sat/mpu/utils.py,sha256=Pd2QT1D7WUtg-ZkbyQs7nYeXGySCihxkBmq3Qq7M0oI,3924
sat/ops/__init__.py,sha256=js9pYLTkWjngs8dVRp4Ywg1AaOzmkUQGr9LAqRKtvL4,1159
sat/ops/fused_ema_adam.py,sha256=Jkf500qtNlA8xVt9itddjBuoDfYxbzXzqzFLdbtKkSE,10712
sat/ops/layernorm.py,sha256=1Aa9tPXo3KsYezd73FGpODw6x2PMHmp2T_JeiNw10gs,1770
sat/ops/local_attention_function.py,sha256=GZymJa0dfcYrbgb9HMpcY2N2jLF1dZXkTwUxQvM1laY,2067
sat/ops/memory_efficient_attention.py,sha256=jhIRnYOXCc7dYdcBLoYPKfEUkCBRTKPy72-ltauWn5k,578
sat/ops/scaled_mask_softmax.py,sha256=d6N6P3cBVBcJZvEM6e_x2Y1zPq_wJD7hCpNXnFaznE4,389
sat/ops/csrc/adam/fused_ema_adam_frontend.cpp,sha256=4nH7XGPjo8OGxFbGLJjQLx7KcErhcMr6S0r4MpjJLHE,947
sat/ops/csrc/adam/multi_tensor_apply.cuh,sha256=tMXW3UwsOhNM4J1axQbNkn4gNfmig7_vXPiBLdFCCv4,5595
sat/ops/csrc/adam/multi_tensor_ema_adam.cu,sha256=jMr7vyWIFLwM4reOYB3XQT-ebi6YsbW_q-ijkD6UJbQ,7076
sat/ops/csrc/includes/compat.h,sha256=5ivuTerIqiCaYu2HpRPzJcUtqMsAtRB7aOXel69HeZQ,336
sat/ops/csrc/includes/type_shim.h,sha256=8VuX9zK5EsmleO7wuAq9D1eHZC7zKWaf0N97eaGg7x8,6388
sat/ops/ops_builder/__init__.py,sha256=17t96RqobhNgwwsHiV6T4InxbZu14S7eeFD9R7beLeM,1982
sat/ops/ops_builder/builder.py,sha256=xc_pkoqsrFIJDJHwykBXsFl2qx9RwMHUNYiwoQhl5Dg,28554
sat/ops/ops_builder/fused_ema_adam.py,sha256=AV1mx4jcj0dZ0_12m049j1cV_mKIKEv93EQpc26eoys,957
sat/quantization/__init__.py,sha256=ZDllsQkhm0CYWr1mQMGduGwSpLbrAQ0EN_sG_rd3Aas,29
sat/quantization/kernels.py,sha256=dW7rMdkUKg-sbtGBXokLUxPe4gSygfMUEUSObNXsau0,19007
sat/resources/__init__.py,sha256=QWtEegOWthlKBNHtxXz9ct4w8E-tQiMzatqeTmEHm-A,33
sat/resources/download.py,sha256=-QQnVYv5KCLBhe59SSytTR_sRbUfbGqTqLGMpPz7A8g,6770
sat/resources/urls.py,sha256=1Sciin9kOQ8uViMTn9o1DIvrqVSGBQHN8OupO-K9Or0,3678
sat/tokenization/__init__.py,sha256=lwwKFN4FbR3rvpdf16QocyIkqG4xktntEE4yIiJQM7g,3810
sat/tokenization/hf_tokenizer.py,sha256=xxQMGiVRp5o0NdntOjvdlMHG5Eyn1tpj-2x2NkfRC80,3271
sat/tokenization/cogview/__init__.py,sha256=PJnwlouKF951E_QKXYcOeMblDVDhbU7jzlOCY1fNz-k,303
sat/tokenization/cogview/sp_tokenizer.py,sha256=6hKHoapC-_o77GuXTVII-C2bdRsoXvFedTb6D4Co0mo,5092
sat/tokenization/cogview/templates.py,sha256=pkESqyevvUTXFlOv6RNkhJiX_XiO9IJkL_BsGSXv2Vw,1767
sat/tokenization/cogview/unified_tokenizer.py,sha256=wwLPMtWJl57zkqxWBLuiSvBxbu0rbBcG9bwU5rH9P7A,7095
sat/tokenization/cogview/vqvae_tokenizer.py,sha256=OTKxPGYEC2VzjsJ2JeJR7cM3W4IpRuKKtxeaBJ_VfTo,2453
sat/tokenization/cogview/vqvae/__init__.py,sha256=bq1sMo_FWv4bRMAI-lLyMKaHg1W3S9vOzPNEbup0eiw,167
sat/tokenization/cogview/vqvae/api.py,sha256=-1aIgkHa5BcFTGdeAmDplJRzirn_V-u2Hn60imeloKI,7691
sat/tokenization/cogview/vqvae/vqvae_diffusion.py,sha256=oMGGZqpeIDVKuyDfyDT61XVgLTfU0JFTVerZ2ke-2q4,30392
sat/tokenization/cogview/vqvae/vqvae_zc.py,sha256=I52AcLkMKAcqbEZc1CB-1j61ZXPaNLRKxjcOPAK14Jk,12917
sat/tokenization/embed_assets/chinese_sentencepiece/cog-pretrain.model,sha256=bqb0FkFSvFjSPiTkj3v0GHqtcqMul-xLOsyDL-GDy8I,1021864
sat/tokenization/embed_assets/chinese_sentencepiece/cog-pretrain.vocab,sha256=P31dotGZnez03Q_R7KveQ6SvNSaqu2iad669UBqJ7zc,723078
sat/tokenization/embed_assets/english_tokenizer/bert-base-uncased-vocab.txt,sha256=B-ztN1zsFE0nyQAkHz4zlHjeyVj5L928VR8pXJkgOKM,231508
sat/tokenization/embed_assets/english_tokenizer/bert-large-uncased-vocab.txt,sha256=B-ztN1zsFE0nyQAkHz4zlHjeyVj5L928VR8pXJkgOKM,231508
sat/tokenization/embed_assets/english_tokenizer/gpt2-merges.txt,sha256=HOFmR3PFDz4MyIQmGak-3EYkUltyixiKngvjO3cmrcU,456318
sat/tokenization/embed_assets/english_tokenizer/gpt2-vocab.json,sha256=GWE5ZovmPztdZXRCcxeugvYSqXxdHNrzbtIlbb9jZ4M,1042301
sat/tokenization/embed_assets/english_tokenizer/roberta-merges.txt,sha256=HOFmR3PFDz4MyIQmGak-3EYkUltyixiKngvjO3cmrcU,456318
sat/tokenization/embed_assets/english_tokenizer/roberta-vocab.json,sha256=nn9jwtFdZmtS4h0lDS5RO4fJtxPPpph6gu2J5eblBlU,898823
sat/tokenization/glm/__init__.py,sha256=mlZ6nXOX87mKLPVS3QOkKhoiDv9-kQzBjiqqfrU_vlU,87
sat/tokenization/glm/sp_tokenizer.py,sha256=KWgSfP9OE81GIam6U20SUYEbEN_f9ydzZtv5zEagUYo,3272
sat/tokenization/glm/tokenization.py,sha256=VTgp7oOSRtiKoDS32rkMO1al8dMPDGtZz34RTReJsew,23223
sat/tokenization/glm/tokenization_gpt2.py,sha256=WrDEO5ZUkVxUzCO8AE_XsnLbWbs6LaG-JjZ8267SrSE,13844
sat/tokenization/glm/tokenization_wordpiece.py,sha256=qejVVOebLB-2fpoqGxU2GZT5uZ41ocJYRdUy8D2RykY,14571
sat/tokenization/icetk_glm_130B/__init__.py,sha256=3LVoPwvNdd_Xh6A_LlRccO7pMoTIdSEfpYXsQjPxznM,40
sat/tokenization/icetk_glm_130B/ice_tokenizer.py,sha256=6uWfGrP-sN0w6vy_RabS27DA56gGB3xfLX7hiYpq98I,9661
sat/tokenization/icetk_glm_130B/tokenizer.py,sha256=4KXXAc4kvQfCNRS1JWplF80krbNcpbdIcOAEGVuh5Tc,2295
sat/training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sat/training/deepspeed_training.py,sha256=6SjdjThwIb7Qyy5JiweveCRVQKKR2lPyqxMIENK7edw,27305
sat/training/deepspeed_zero0.json,sha256=LZX9VP6JYkCZlgV4uAZJaj6xl46M6X5WuysQyhTfQmc,392
sat/training/deepspeed_zero1.json,sha256=OSVDKxjYvfDdyxOEXG3SATqxgvzGwCI4zpk92SlfQmw,999
sat/training/deepspeed_zero2.json,sha256=Xfkt18niHxleewDksZLsvATUsFs4irKbh7KclKROYF0,1151
sat/training/learning_rates.py,sha256=Xn4Z8aB_f95RCRZzdXaZtohKOvjG4LVbmnaPWv_d6nM,3715
sat/training/model_io.py,sha256=ygxoAHa1RI3C1Ez4FzpTgHtou31pE69vrKj6ln4ZgZ4,27632
sat/training/utils.py,sha256=oKu7tgm7UVHlo_CAA07M8Ry0ZzEVrIvbWJCIG_YNkfA,4488
SwissArmyTransformer-0.4.10.dist-info/LICENSE,sha256=2HiNg-xUyIi00mIMIRzMd41fjZwJ_kj_LzxFoDz2vjc,11338
SwissArmyTransformer-0.4.10.dist-info/METADATA,sha256=UrliUIicm7UmFqAnZafklgGlasxycB3OTYdj-ImpglQ,10163
SwissArmyTransformer-0.4.10.dist-info/WHEEL,sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM,92
SwissArmyTransformer-0.4.10.dist-info/top_level.txt,sha256=2dv5SwW4MUr5yn8gNOkmhcM0R5F2BackOxCZxpOhLl4,4
SwissArmyTransformer-0.4.10.dist-info/RECORD,,
