codegeex/__init__.py,sha256=DHZza2V_MKDZO81dYqoB194pLgbhTggWdsutpTf1iJI,2214
codegeex/benchmark/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
codegeex/benchmark/evaluate_humaneval_x.py,sha256=n21ndlMM9ukTtj6yZHrfQU7jMVy1XID1B251b5eoI5g,8675
codegeex/benchmark/execution.py,sha256=CNETYx5o4_uXkJskHHqfhkcaus-sopv6rpbO9RbJA6k,22393
codegeex/benchmark/gather_output.py,sha256=JWBeOV6GM9AJVekrTFruE0w-XpDfI8TLINkeZZQPqok,1947
codegeex/benchmark/inspect_result.py,sha256=suHuhJDkpv8UQGgfZtQfajFXmE24leXuMbgc-oU7JqQ,12404
codegeex/benchmark/metric.py,sha256=_t8Nk0DLTJ-0wB8YslFckC7C5m7rSSGdosxhLlOf5kg,2089
codegeex/benchmark/utils.py,sha256=va4CvmhvwwmxGM21fKqpN9M0jInPLA8khDp1l2LyVn8,6016
codegeex/benchmark/humaneval-x/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
codegeex/benchmark/humaneval-x/evaluate_humaneval_x.py,sha256=n21ndlMM9ukTtj6yZHrfQU7jMVy1XID1B251b5eoI5g,8675
codegeex/benchmark/humaneval-x/generate_humaneval_x.py,sha256=k3a2dOoMgecxm9b9hWTweTw3TxoA74MqFGndtZS0-10,12890
codegeex/benchmark/humaneval-x/translate_humaneval_x.py,sha256=iFptnHwH-AVK6htZaBPQMroqEhsKOzDkpWzxtEF7dBY,13809
codegeex/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
codegeex/data/data_utils.py,sha256=knKK_23tevCm5w44wDdH-jvtQ1vZCNrFk-HBprY8ZXE,4974
codegeex/data/process_pretrain_dataset.py,sha256=Zhkoa7nR6P9SnMA4YaH07nDrrZnXyqPy4KApzSA0v-k,4600
codegeex/data/processor.py,sha256=JA5CVmkOQRwA644hzM8mBvY95JtQM2Ecx6YYM7NBnng,6273
codegeex/data/types.py,sha256=JySiylhLQspM0cZfW5WfVMf0aKf1CO7bVKQOaJJrutc,323
codegeex/kernels/__init__.py,sha256=jVex0zCJnamEfMo537tjNA9VISJ5hv399sV8P5IqBI4,3092
codegeex/megatron/__init__.py,sha256=1F5nfSrYUR-bXSzTzRICPk5vuhP8tTmDi8xCxRZj4L0,1705
codegeex/megatron/arguments.py,sha256=IQdeedSO29TbH7sGUutBvHX-Ii4J1Z0pLFM7UPtoEPw,50043
codegeex/megatron/checkpointing.py,sha256=EzkxG672mDdgQgbMam3OGn4tphugtyInupwHQzdJYfw,20949
codegeex/megatron/code_generation_utils.py,sha256=YbUvTk1DqmelkL6FYiEyYDp78xBbA3bJHKg1xW82fDQ,42463
codegeex/megatron/convert_ckpt_parallel.py,sha256=AzBNwdJKOJB899vNeQYuyFpHHfKU3DzfOrN4Q_6fDhE,5082
codegeex/megatron/enums.py,sha256=zir4DNbUsE0L5lRK6xeb6yaqv2JFdTBcIacbzIKm_pA,861
codegeex/megatron/global_vars.py,sha256=qo21VdFu2fLLl2bNZ57XhG8ADXCDvjy9d2_4IZIGVnc,8523
codegeex/megatron/inference.py,sha256=ceGTavbHKKzMVBNASGB9ayt_B2gmglYhxLylAGqlWC8,11459
codegeex/megatron/initialize.py,sha256=bBlLB18Za5V2pz5Dhx8gj5hCo5m7n9UnSjtZ8apWj5s,11839
codegeex/megatron/learning_rates.py,sha256=XBRiVH-sDZm5m5n_zrGL1U9wC61XUaQlkUeDYVbsoMg,6958
codegeex/megatron/memory.py,sha256=MSZlUnWF-3nrEBoFi56bBJ0rWkL0aGE-eLwBo56KBeY,5281
codegeex/megatron/merge_ckpt_parallel.py,sha256=JqsAx1Q4X4kpWPs-mIjXVAsUI7B32AGPZTwruvLD6y4,7875
codegeex/megatron/microbatches.py,sha256=oWaXzgxWLlsn4Edkfbv9eEVmDgdLMK3mwSXXvYGgJNM,7145
codegeex/megatron/mindspore_to_megatron.py,sha256=BbKIqq-aqudeXHj9aE79lVa9OFPFoCGpyZBvaF1bHgk,13618
codegeex/megatron/p2p_communication.py,sha256=N0iiPNaBD9MwyrbelnZ0eyj5VIyHeVuZ0Up7-bWcoL4,10600
codegeex/megatron/schedules.py,sha256=psUC9CGrRonwvnrI4taiLyALXaAoUI_039rJP4PvBXo,19786
codegeex/megatron/training.py,sha256=U1zaK2dRDjgRu1KHS7gm5R_ydldz1A0DlVJmaS1I8YY,52841
codegeex/megatron/utils.py,sha256=4Aav5UHz31DWr-iOq1W6iZQqnGKi4r4Af3vWjaUnIpI,8819
codegeex/megatron/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
codegeex/megatron/data/blendable_dataset.py,sha256=5y37wroBZrMInXvsxdqqCavV8D-eqMTntGZNJPpecUU,2213
codegeex/megatron/data/data_samplers.py,sha256=lsl97MRqVmjYeXuu5qQBZJZIZI4bjYHXEzXO4PiM5m8,6752
codegeex/megatron/data/dataset_utils.py,sha256=ui_zd5SNfitnVqvQ4f0VY0o9Wo9DyZHukXun18CPrSc,20173
codegeex/megatron/data/indexed_dataset.py,sha256=JqjFLrNFX1oo2W7pC30vCHd9TvrA2fOX5ZUT9Dmqow4,19260
codegeex/megatron/data/prompt_dataset.py,sha256=y-ujkbY9nahdtQfBPjQ8ZjCdLmYO6SsF5uiIrH_zSbY,12157
codegeex/megatron/model/__init__.py,sha256=Ua8Ikv_k6WPglW7U15F6Yn8TVFsI9rND93tpJ4s3nh0,847
codegeex/megatron/model/codegeex_model.py,sha256=mzS4gs7ArOe3KionHbjdmB2xtL3LOlazW7fBFIlXdnE,8079
codegeex/megatron/model/distributed.py,sha256=z6AlFBqrqRzaVLiyuXD74iHAsXIWRayLIJZq9DecHSs,8643
codegeex/megatron/model/language_model.py,sha256=8WeioUlJayHcticgJuoy23z1QAOn1xsAhBOonnQDVxk,25890
codegeex/megatron/model/module.py,sha256=oggcKs_bO6XQN5HZlTHsOE5M3qX0I3J4eLEl1ETjAnA,7700
codegeex/megatron/model/transformer.py,sha256=sYfWOvLKkhhDzb8GqlaZ3M7OVPho1-lU9YPI44se0yU,41887
codegeex/megatron/model/utils.py,sha256=beqA5gcuRbsa0Ofv2U9MzNMAl6DLDhDxXi7PMK0AwEo,2359
codegeex/megatron/mpu/__init__.py,sha256=5Pd-C6G-hUoYqozJlhcau5dVc-JpQUOJVZlEBNaFnGU,3349
codegeex/megatron/mpu/cross_entropy.py,sha256=h_7wCEDx_rriL0cgpQK7fpNgPDiR6yhhq0o3FV5pc58,4844
codegeex/megatron/mpu/data.py,sha256=O5ozADjWtybskAw21xi9RsjGvcZ-SOfh4WBj9vELWfk,4124
codegeex/megatron/mpu/initialize.py,sha256=QBY00XWU_vH0RjuIpvHOKRGTVf_E5Ut-7u9HfTM2Gno,15737
codegeex/megatron/mpu/layers.py,sha256=_lMfwDN33z0OzIVXaWJyV9ShZbKQBvlFyVXFXkbsoIM,19242
codegeex/megatron/mpu/mappings.py,sha256=KepjXAEh0Fop2wEwsrvmz6ivxplPSVwxDN2IvzW1wnk,4596
codegeex/megatron/mpu/random.py,sha256=msqYIpd8az8YWvCOcyh0BpCObnXXTSznPPLvdPbitNQ,13026
codegeex/megatron/mpu/utils.py,sha256=sB9-BAMVZvLAZbfn_Tk_QLMOHJlQfpPkdpdmdtgrzRI,2721
codegeex/megatron/optimizer/__init__.py,sha256=LdC_DOfCrS3H2Z9wQlRzcWtKr2xZOBy_zO_DP4ZpF08,4564
codegeex/megatron/optimizer/clip_grads.py,sha256=6UejynsOx4uIGk_LeyVkjK2J2iClwC4C6fT0RvYd3yM,5666
codegeex/megatron/optimizer/grad_scaler.py,sha256=6kz2ObEWT5Cux4AdqnW22j44jjFnQ73Q8roqhuMXcow,4499
codegeex/megatron/optimizer/optimizer.py,sha256=vDZINUf7QmSBvMcLWvBqWfrs-yJJXaY_dFOZNjLa55M,19696
codegeex/megatron/tokenizer/__init__.py,sha256=q0TrvIhqajKlgLKJkwis6EVg9y0b_5iEeT7-vfw96wE,683
codegeex/megatron/tokenizer/gpt2_tokenization.py,sha256=BX9rKNu0AHy7ftmSE3YVD1MABmCnE6fsa0zHy11oYgw,14525
codegeex/megatron/tokenizer/tokenizer.py,sha256=guENxyGmAMe0OrqT6dhDKiLhoP_cAoKm3y5tWLWaGuI,7760
codegeex/oneflow/__init__.py,sha256=aEJ_ll6Vzxl6_-4tfx1w5PV4FOXe8U8tG0DawuPziMQ,41
codegeex/oneflow/codegeex_model.py,sha256=V4z-gHsi6uDwoMWI1ovqAIyK3klyguIdDBdb6sEsrdg,44346
codegeex/oneflow/inference.py,sha256=hlMbuuB0PSLWL6O_mSUq2V-Cif0WX7FoWe90zIjAvbc,11154
codegeex/paddle/__init__.py,sha256=aEJ_ll6Vzxl6_-4tfx1w5PV4FOXe8U8tG0DawuPziMQ,41
codegeex/paddle/codegeex_model.py,sha256=85gUZ4BkTBHZwA27Ycopy_ZFEkPvLAZA_f7F_dpQIlI,38460
codegeex/paddle/inference.py,sha256=y769rpCQ26LhxMGuLeBOiNdCZjfUJcgxPwAf53AepOk,11241
codegeex/paddle/pt_to_pdparams.py,sha256=5sfNaKOfutGiPF6xtSPHj3kBerk0WWRN8S9sckjTTY4,1280
codegeex/quantization/__init__.py,sha256=VcyrwLZIjOG2wYfw3BfYXBCwyc_dYn-IDJACAM7hNNU,180
codegeex/quantization/quantize.py,sha256=lhh_hqNkEB8_rEqoNE9bYhotYN5fzfI1te55rvQwUB8,15467
codegeex/quantization/quantize_oneflow.py,sha256=9UlDb8yno5F7g8gqSxPcI8kkC7sJ6S7lcOlMcLN848w,7609
codegeex/tokenizer/__init__.py,sha256=YuWit767sd7fmmNHwCKeQQ97qgWF3aGSJnEkzoePRJ0,40
codegeex/tokenizer/tokenizer.py,sha256=y2CieTYoRmPE2YT396iIZESk9sTZL7oXnhbd9NiuUIY,2330
codegeex/torch/__init__.py,sha256=aEJ_ll6Vzxl6_-4tfx1w5PV4FOXe8U8tG0DawuPziMQ,41
codegeex/torch/codegeex_model.py,sha256=ANM1-4YQ6YLlbevuW53zpWv0X9nJJHO1aKmZMhLzHKs,37983
codegeex/torch/get_ckpt_qkv.py,sha256=emSz-Ym6mOO25HYR0pQ-na2P_B7Po7EdCXOJALyBjfg,2832
codegeex/torch/inference.py,sha256=d3ZS_SQjB5n0YKqv_pn_hkr0upmxupRKUaRLsBk7fz8,11141
codegeex-1.0.dist-info/LICENSE,sha256=HrhfyXIkWY2tGFK11kg7vPCqhgh5DcxleloqdhrpyMY,11558
codegeex-1.0.dist-info/METADATA,sha256=L2upcTPHTreeEzf2Pt0JinJADKMP7JmppsOLCdy99yc,607
codegeex-1.0.dist-info/WHEEL,sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18,92
codegeex-1.0.dist-info/top_level.txt,sha256=VqBA4GrGqWxzlnE_PnvKFoyfG-q-9VjHLIsWeKKPhBU,9
codegeex-1.0.dist-info/RECORD,,
