onnxruntime_training-1.17.0.dev20231011001+rocm56.dist-info/METADATA,sha256=kemLHNK86pC3uIClIqFiZo0hYLdBQ18NmKwaGJtHSVo,4211
onnxruntime_training-1.17.0.dev20231011001+rocm56.dist-info/entry_points.txt,sha256=7qLS4FbGXwPZjfdpVAGpnmk9I6m6H5CxEnwcCx1Imjs,77
onnxruntime_training-1.17.0.dev20231011001+rocm56.dist-info/WHEEL,sha256=9XLhiVgNKmXDaCDhb12mWbAUBxzBeaB96RRFqZ-6gpw,112
onnxruntime_training-1.17.0.dev20231011001+rocm56.dist-info/RECORD,,
onnxruntime_training-1.17.0.dev20231011001+rocm56.dist-info/top_level.txt,sha256=zk_fJEekrTm9DLxX2LwGegokVqP6blqPhFoMIuh0Nv8,12
onnxruntime/LICENSE,sha256=LwfHJ1Gu2ZeQuKSGnPIxHfhahgsi3tBfoigDWHpIkiw,1073
onnxruntime/Privacy.md,sha256=mhX5_Z1Me238NfI39GGGP4T49zz2GJ4zCBimdNOCiHE,2469
onnxruntime/ThirdPartyNotices.txt,sha256=bn61DKT0l3EPhh4L3xVN1B8xUK2ty1YmYr7W8Ucy-2s,327170
onnxruntime/__init__.py,sha256=YjdzfyqVHQ0gM_5ksKwMW-bLiWUD05GRbc7chS6fXrs,4345
onnxruntime/backend/backend.py,sha256=aEqVAFY5QhxcetsaweIAVkU9j_p9G31ZuJYAHlbLA18,7967
onnxruntime/backend/backend_rep.py,sha256=gDHL_2xJ9eSBpV4-NN2tRnGE307URXJF3ctXsauLMyc,1768
onnxruntime/backend/__init__.py,sha256=kq18WcB0Ol38CSGHL-ONwpkfUE0KcmojOq6k-VGtowY,328
onnxruntime/capi/onnxruntime_inference_collection.py,sha256=iTUVoaXE45LCPc369AB4jRzPoHZDf6_nEQBOUg0Ob4I,41286
onnxruntime/capi/build_and_package_info.py,sha256=qZKF6OV7Wf-HDF2j0ItYOBOCYmxM9eNNvCsNxohce50,104
onnxruntime/capi/_pybind_state.py,sha256=nwOSruBAJQb9jaG1g5iupqd4lnQ8zoq6sHObmqyePAA,1500
onnxruntime/capi/checkpointing_utils.py,sha256=e6Fd6uji4kYYRNX0GZgkxydtL6Km911QTOSkAb8YbaE,5383
onnxruntime/capi/libonnxruntime_providers_rocm.so,sha256=OqV8ExuIwtsd-sjA3IbpdBF7TN9Jf16k53x4REeFXZU,362136097
onnxruntime/capi/onnxruntime_validation.py,sha256=ySGr-Om7qY18ChaHlxAi6ol6GUA_f7i9asSDtNjIw6A,6237
onnxruntime/capi/onnxruntime_collect_build_info.py,sha256=9z3-6Q2LCxLx7sc8xdfgAp3ihNzDR16lV5cOwROljAs,3965
onnxruntime/capi/libonnxruntime_providers_shared.so,sha256=FRZ_jPNfBg3b-3-FW1WPzzUexfAbPU3hXSMYpb2nYyY,14736
onnxruntime/capi/_ld_preload.py,sha256=_LrnIcTa5OjTvpNBRjbSghdseGllvp7xFtPBBT4q0To,406
onnxruntime/capi/onnxruntime_pybind11_state.cpython-39-x86_64-linux-gnu.so,sha256=cIU9Gh7pvpOfhVetMOkhlQxYrUghU1cKqw5NVefL7Yo,23276712
onnxruntime/capi/__init__.py,sha256=WSNxt3l4lkWA_0vhw1ED4I7KOO0mnAuHwSgFYqbq0Lg,247
onnxruntime/capi/ort_trainer.py,sha256=FAPZDkJaj8zRyemHvAJX3tsj2nhEfvuHw0Hul04WBaU,51569
onnxruntime/capi/pt_patch.py,sha256=AbcBcyCUZOBpClgAjsKTfPGdxAGAuyFM8qaRSdDuur8,1977
onnxruntime/capi/training/__init__.py,sha256=7q6CjAkOcRaxW9qFrAcJqweTrdIMe-LnXOZAvGr35iU,408
onnxruntime/capi/training/training_session.py,sha256=OUve9y9boEaaEhgzzU2cSb_nKlgfDUqy-Kl0UgasNcA,2517
onnxruntime/transformers/profiler.py,sha256=D_-rPma1IzdTqcHdy5kabcHPUl9Mb1YCR9ma6Fs03oI,24284
onnxruntime/transformers/fusion_embedlayer.py,sha256=29qYMp1HBn7UGh_30j8IvZEd5NTAbCap5tEDmINoI_g,35967
onnxruntime/transformers/fusion_transpose.py,sha256=XMCkQ7NO2pfSScvbZRtzSDXZ4fE3yH9khWoDjmUA0-Q,6867
onnxruntime/transformers/fusion_qordered_matmul.py,sha256=Qz8sZPPx5l6JB_taUBXio4aFLID8HHYFWy-bziesYRA,8349
onnxruntime/transformers/fusion_qordered_attention.py,sha256=GcAodknP95tKZQJD6aQh7LWByxhg50f7-8xBRkzzvl8,16742
onnxruntime/transformers/onnx_model_vae.py,sha256=Hsgbp0PiY46oTJk9M7RFkaY2Ahp6z8a8F8rgSmYbk3k,1473
onnxruntime/transformers/fusion_gpt_attention_megatron.py,sha256=HbDoDXXYhqy4sEFUJvaf5Ly5U6u6upCg8JUA1d78CQE,13284
onnxruntime/transformers/float16.py,sha256=XTd_O6LHt-7N4FGnn_ADcdthsNpwfsJV2Q-mOZfAcj8,23946
onnxruntime/transformers/quantize_helper.py,sha256=iAd3SmsKLiTFVOnFvZHKYy1hsQ8iCo-b4U0GPG5QXqA,2750
onnxruntime/transformers/fusion_utils.py,sha256=7exYYRFYyUsfu9YIUXT0zt8zTlRvf-yY-Sn0lIIDsR4,11939
onnxruntime/transformers/onnx_model_gpt2.py,sha256=51eVfqb6rID_y0d9J8zBL9sVYaEnJPuEknmz_2_gKiI,3650
onnxruntime/transformers/io_binding_helper.py,sha256=v8pOpB_IA-CubHAqUE1TkgmizHGz6BCRSq4NjW-riY4,12379
onnxruntime/transformers/fusion_gpt_attention.py,sha256=mk-UKIjouzrtkMl3A-LdLuLc6wlOqxAdbE2gRiYYwpM,21962
onnxruntime/transformers/fusion_nhwc_conv.py,sha256=9JZ4ve4hukpxexO6itJsHlejECL30zhIzNsQ7tAYybs,3397
onnxruntime/transformers/fusion_shape.py,sha256=n_-uSWs4bG441bS8p4OoIu_TWLjnptGb5dRMYuHUSEg,3735
onnxruntime/transformers/fusion_attention_vae.py,sha256=tD-Jpj7lFWrqUocsjg4OseQqpg6fMjWfnRbjoeKkaDM,12117
onnxruntime/transformers/onnx_model.py,sha256=VcTZ6W7Ts9FBNRsH5vfo3GqdmRERSbPMhfXj520yeIU,54041
onnxruntime/transformers/benchmark.py,sha256=TXgRUxorkc-2rgiw86R29c35oUoRIKCgfINDB9cNJU8,32225
onnxruntime/transformers/onnx_model_bart.py,sha256=2AjaHO768QL1UMzbC4RJC8OISBRWhmr-a9u25ldlHVY,5420
onnxruntime/transformers/huggingface_models.py,sha256=3Y7w811zd811-wJ9yQFm0n8v7GxWyIlPVmZ-DsMcyPs,8963
onnxruntime/transformers/benchmark_helper.py,sha256=i0gYDtmFXeK4ll5Rn7dS3HWHZ9ZLOov9zqskjb_L9Os,22451
onnxruntime/transformers/bert_test_data.py,sha256=Ae3k_JGUiXkvrrtveUtLacv0Ta_rSyEIO704eO_iSow,22887
onnxruntime/transformers/fusion_skiplayernorm.py,sha256=PuFFy6hfxBFLUUSZT79WR-4bBNPdMD_Ddgx8pYenjLE,8439
onnxruntime/transformers/onnx_exporter.py,sha256=6GiJwB8OvfuyAnJQLL9rZNSTmw3INViwIQHqrzEkkSo,24598
onnxruntime/transformers/fusion_base.py,sha256=sBGN8ztFnw_oFB9CnphmUQ9ES5pZO7So3sWVp5I0k-g,4273
onnxruntime/transformers/fusion_biasgelu.py,sha256=-Z_TsQFO-9RsWLezGXe4U2aJjuX4hVgIGwOEclblJAo,2234
onnxruntime/transformers/fusion_fastgelu.py,sha256=voCs2o1L-I0Ci7Uc3HgRGGUd8M8miZ47gpWPL6SUu6s,12964
onnxruntime/transformers/fusion_bias_add.py,sha256=MZRh6MEC1-YiR_bxK_22iOWd2onJzFUJ0B3FpsLjbkw,2008
onnxruntime/transformers/onnx_model_unet.py,sha256=yrAAZ1dGmk1lEYn4vqpsAbeMtPRlQsDGQoKi39-FCi4,7006
onnxruntime/transformers/fusion_gelu.py,sha256=XwAKUmCdKtXjyrAswob56BvcXhCnAkd3wSPLSTzDJdM,9930
onnxruntime/transformers/fusion_reshape.py,sha256=JryVrnVk622-MWk8EYNLlzz8AjA1SCHW_Tl9SrcnDmg,6230
onnxruntime/transformers/shape_optimizer.py,sha256=Zi6uueq9P3J50DTQCvrODPCsxcVFziDmqzKOcVdsO_o,15172
onnxruntime/transformers/fusion_qordered_gelu.py,sha256=VFg6EmbduMwy5nlDhEZJp74xu_zV7gpZP5jYxKC1zgc,4276
onnxruntime/transformers/fusion_qordered_layernorm.py,sha256=ejCfeFrgX5skokNyAnDjU1rNo10PR6HpTYQs1sLFW_8,4794
onnxruntime/transformers/fusion_bart_attention.py,sha256=wm6bQYEvEFf4-aFHEyMF_e_OZiCu5MWMVEN6wyGV_c0,18901
onnxruntime/transformers/onnx_model_t5.py,sha256=An-DWYrrSWVfyM6nAuvN-6KmpvxPdnpgkGKJyngOOHE,30517
onnxruntime/transformers/fusion_biassplitgelu.py,sha256=IEqZHlxSsG_Jr5Z24_66vAZqdaLgWk-mhkk8LEzue0U,4405
onnxruntime/transformers/onnx_model_bert_keras.py,sha256=M3O7yCYscu8UYpeC-fC75my8pP8v_qmJF9L_Vb6SlVk,18465
onnxruntime/transformers/fusion_attention_unet.py,sha256=1D-q_NwvUrS0xDnvXw6XKK5n14EdfO0oX4oDJYyMyG0,50458
onnxruntime/transformers/onnx_model_bert.py,sha256=FroECCvRx8VJ5yqPFKTAKkaTESmW6HLnuepk-eV4OEQ,20191
onnxruntime/transformers/machine_info.py,sha256=6lFIftmCH6XO7fzdEwuC4X6C4e0Se8SrsDrxeWRQnPg,7059
onnxruntime/transformers/constants.py,sha256=uEpbbaWP8prnku5R6KGVjK2AZU_4c9MfimpHShwFrQw,1096
onnxruntime/transformers/fusion_attention_clip.py,sha256=e1ERvUssRNBdDPFc10s6PH1IveMr0Hh7d2D1ZfVPmlI,8504
onnxruntime/transformers/fusion_gpt_attention_no_past.py,sha256=Dk8l6aT7rl4sg_58yMO-uFNqOdCnA6bBla8d8t4tSKc,10534
onnxruntime/transformers/onnx_model_clip.py,sha256=b_6bl6V52vJnXehfaNsaNpO-GPyZD6J_A0_sxSfgX0w,1259
onnxruntime/transformers/onnx_model_bert_tf.py,sha256=QOHA1zq69X7Q3Pv4ygiSBzE4Ptc1K9h9RQewz9rncNY,24844
onnxruntime/transformers/fusion_gelu_approximation.py,sha256=i2xGW-9zl6Xburqq0F8DI87AyqsgnhjLeFW-rBiN9ys,1004
onnxruntime/transformers/convert_to_packing_mode.py,sha256=Q1v_3lEgykyJIARfKDcaXj_xTnFmE2u753y1mIZ_SHk,16522
onnxruntime/transformers/bert_perf_test.py,sha256=9FS-0pevcsA20EiJjLCGmb3clSLWrkuZ--S9PccW75g,20371
onnxruntime/transformers/fusion_group_norm.py,sha256=fpQXBaO0aXArZU59wjyNvrukVxbhpZXTjQVd_IN5now,7835
onnxruntime/transformers/shape_infer_helper.py,sha256=E-6gh8LQddBURvPiyoLE54qWr2r6wFDdlAxsVsdjThc,4468
onnxruntime/transformers/onnx_model_tnlr.py,sha256=2VOs0aJN5syUP6IyOWzxGz8kTyumwf18tSJ9K3rECnI,8209
onnxruntime/transformers/fusion_gemmfastgelu.py,sha256=bBNK9aMVatlDb4ya0iuMr6tNkDmtVkmRJzmdUGMePKY,4140
onnxruntime/transformers/__init__.py,sha256=RS5B5wWnwFKH0KXZeWydhjs9Wl9sPRqgU_lB1_dUYN4,313
onnxruntime/transformers/optimizer.py,sha256=r5Dy5ma4t_HZhuw5N8MMDYVPku8Pj1EDbWtqh7k8z_c,22488
onnxruntime/transformers/torch_onnx_export_helper.py,sha256=Vo1bRkkBpUzKQ-518j6CdlKpN4mtw_SoA0_HGVF5BRk,2434
onnxruntime/transformers/convert_generation.py,sha256=jfJigd9aqn1nHyEcEfgEd7SRgBPbVsXgFH11NAqZyMg,113114
onnxruntime/transformers/convert_tf_models_to_pytorch.py,sha256=tYR_wmJABRg9BQG9aj3oO3j0ABSu4yi4_Sg2zx6VeF4,6500
onnxruntime/transformers/affinity_helper.py,sha256=N0QR2jl0z6v4AM15cyKnzWf7T8S5T3ZBweOQ5WE1lx8,1402
onnxruntime/transformers/compare_bert_results.py,sha256=4lBC4jcKSS615Ka4BnwwEuQrRo_buwMQVJc-Wa3IGO8,7830
onnxruntime/transformers/fusion_options.py,sha256=T9s6sULiSiNyISYUgYlKHE29RHASTE8RVexArPL3Dcg,10961
onnxruntime/transformers/fusion_layernorm.py,sha256=ZcS8BTTwXgmP3b_ZY9NA-0qRw9JzKbb9cUeUSMvVrHk,11921
onnxruntime/transformers/fusion_attention.py,sha256=cVvW1VQYmA2jY65Q9Vr4WZJg_INxXz26bhL9XHbul-w,50855
onnxruntime/transformers/models/whisper/convert_to_onnx.py,sha256=w5hVREt-4udaFvE6f8r5pVctpJvMJQ-6TcgBea9DYv8,13855
onnxruntime/transformers/models/whisper/benchmark.py,sha256=jzP5YrpV33NZ87YK_ACDrfQbiQzY3bdWzr9WH8idu-k,21913
onnxruntime/transformers/models/whisper/whisper_encoder.py,sha256=_kdsl86lV9tL2hnrO1IhF7cicxMx-vVhc44FK6KbVeg,5309
onnxruntime/transformers/models/whisper/whisper_decoder.py,sha256=_VaUXe6beEkfvIeN-EWou0Z_VpXuyfgVorWBd4P1bWk,14936
onnxruntime/transformers/models/whisper/whisper_chain.py,sha256=NykkFHyx_YHOuv6wXr1MI8PuNovXIvKfnoA_5URL7qo,7742
onnxruntime/transformers/models/whisper/whisper_helper.py,sha256=pLEqTQuNlw1BGCRDh4VcueHIALDfyep5pPCTcSJ4ywg,14232
onnxruntime/transformers/models/whisper/whisper_encoder_decoder_init.py,sha256=6pF2b7c9YAWo7-NZ9x6YVz9KFdc2cxqVB1MDZquc-lk,11784
onnxruntime/transformers/models/whisper/benchmark_all.py,sha256=6u9rUXGxhW1zZB713m_nQn1kemB6AsisU75C3raT2pQ,15203
onnxruntime/transformers/models/whisper/__init__.py,sha256=x0v-uxUz39CSawLG1RB-Jsdh9j5X2wlhS3KJuwvk3Pg,478
onnxruntime/transformers/models/t5/past_helper.py,sha256=iDS9qzo6nnBkrwRjmiQN91MOk9D3WcuZqPOXunQ4KGA,6837
onnxruntime/transformers/models/t5/convert_to_onnx.py,sha256=O1q3RvTK0ZgS-SB5SsMX2VsyoGdIYIublhEvR75ZzHg,8732
onnxruntime/transformers/models/t5/t5_encoder.py,sha256=EOqxIrTQfQQsn6AdkupOOsT1sA6h5YrRM_X9YGVYR3E,6124
onnxruntime/transformers/models/t5/t5_decoder.py,sha256=ZCN-Rn1A63q6udBz2m1WK7uiQDYdK94TBSu-aPNB3Pg,16824
onnxruntime/transformers/models/t5/t5_helper.py,sha256=wAEanwNmakNLllKc-bEpsqiXWC69tsy4-Bytgqkk-DQ,10760
onnxruntime/transformers/models/t5/__init__.py,sha256=BwRvaUkfYSrGVdz2T6jCi-cH8gR9UD3q3GrtMtkJL8w,483
onnxruntime/transformers/models/t5/t5_encoder_decoder_init.py,sha256=5EvYjQfOtdVJQ_6AnsvH7nsJ_pTYzRWvWFQCg-UEesI,11974
onnxruntime/transformers/models/bart/export.py,sha256=YwcCfayoh23FNYQrbapwspTdL0qSRNJp28bAyrFOmE4,4187
onnxruntime/transformers/models/bart/__init__.py,sha256=BwRvaUkfYSrGVdz2T6jCi-cH8gR9UD3q3GrtMtkJL8w,483
onnxruntime/transformers/models/stable_diffusion/pipeline_img2img_xl.py,sha256=iFCd9DX8pDufF5Z0GrKtDPDzwWF29orCRv7uiKeQVvg,8314
onnxruntime/transformers/models/stable_diffusion/diffusion_models.py,sha256=kclI44WzewBpQB0hXqZvkc2L7Wg8wQsW0FOgGOhnBIw,34382
onnxruntime/transformers/models/stable_diffusion/engine_builder_ort_trt.py,sha256=NSOtXblfLYGlLCrDQEaASvRxoS1Obz0RyPfhxoXIs0M,10223
onnxruntime/transformers/models/stable_diffusion/pipeline_stable_diffusion.py,sha256=ILBCpWSEgRvPTDKpFn1D81NSydpXuHpxP2qUJiofB6g,17626
onnxruntime/transformers/models/stable_diffusion/pipeline_txt2img.py,sha256=rCUAOYKaks6P4MQl_Po50g2ggudA_81eCdIrC9k0TQ0,5281
onnxruntime/transformers/models/stable_diffusion/engine_builder_ort_cuda.py,sha256=4kSd7JKT6clKKKkKPpxckRCZFFIv26nhPdIJu5O53wk,6711
onnxruntime/transformers/models/stable_diffusion/engine_builder_tensorrt.py,sha256=Wh5Js3qCHojmX9jRwJjLlSowQHS_8QhMnQxJvIvWlL8,20329
onnxruntime/transformers/models/stable_diffusion/benchmark.py,sha256=F8LwO_8nUL1V6mP5bJB5_Kyt3fGugKJnag-jTIMIMrc,53639
onnxruntime/transformers/models/stable_diffusion/demo_txt2img_xl.py,sha256=eVrY4BGLWWJtuk0FU5Pjrkrq4C7a4ulKGshTwr9Gj4g,5222
onnxruntime/transformers/models/stable_diffusion/pipeline_txt2img_xl.py,sha256=WtIozW6NAhSsKNChdiSfgj-dAb6xu7qhJ4jiXQ7HHrE,7051
onnxruntime/transformers/models/stable_diffusion/demo_utils.py,sha256=AAuaL-5CnEO35dTX-yse3lQWIaIJirOW_z2NREp1mCk,10883
onnxruntime/transformers/models/stable_diffusion/ort_optimizer.py,sha256=eVHp-xad_ri8NeEI1UGcK5cpo0xaHdjh3FOjGGYiKJA,4339
onnxruntime/transformers/models/stable_diffusion/demo_txt2img.py,sha256=ZpOwdzpTjqhHp2DERsn21fqB-MzWQ8NSp9WZZygZkrk,3600
onnxruntime/transformers/models/stable_diffusion/optimize_pipeline.py,sha256=yykRAJERmqjdNnx9CDsNgP46MolV3a9teUV6RblghpM,12531
onnxruntime/transformers/models/stable_diffusion/trt_utilities.py,sha256=8CHgIIwBriqyR0gULVPFI1uF1rbAH49_iMPUdQvOnAI,420
onnxruntime/transformers/models/stable_diffusion/onnxruntime_cuda_txt2img.py,sha256=Xxv_0D8J9_ZFX9wvGAsofQLlwxH4URHEEhtNcrdexOI,11672
onnxruntime/transformers/models/stable_diffusion/onnxruntime_tensorrt_txt2img.py,sha256=SciPVl8yEVJNYBt73hH2u3wwJqskIR7Yo-4yY6Wu7Rs,10978
onnxruntime/transformers/models/stable_diffusion/ort_utils.py,sha256=u9dlRukFS5OlCRs8bf_QQ4HEoVQJfHpHb7auOsuIGCc,9745
onnxruntime/transformers/models/stable_diffusion/__init__.py,sha256=BwRvaUkfYSrGVdz2T6jCi-cH8gR9UD3q3GrtMtkJL8w,483
onnxruntime/transformers/models/stable_diffusion/diffusion_schedulers.py,sha256=mXVUdY0MwAj7xYXCY3PgIo2mWjDaxLdgOxMLM6i95ZE,28520
onnxruntime/transformers/models/stable_diffusion/engine_builder.py,sha256=P7j2ihYU-UofaGNoDM-bboBYp9dCszC_XzVXDAZi9Jo,6934
onnxruntime/transformers/models/gpt2/convert_to_onnx.py,sha256=nop47-3IV4PFDN56qyzylNE-qa74qzsTpyDvQF09ST0,20036
onnxruntime/transformers/models/gpt2/benchmark_gpt2.py,sha256=XTduY_lSIhH0CEkuHxUCnKXNaaiacoqBpL-lTfdKTTc,15503
onnxruntime/transformers/models/gpt2/gpt2_tester.py,sha256=M0aup33IEGlO83jZ_b7DQfNj5zhvN0Zhi-lcRMz0GJc,19577
onnxruntime/transformers/models/gpt2/gpt2_helper.py,sha256=rqAddr2UmvAkfh8iIHWmKBqdaLH7DqEnlpc26WP-csM,40341
onnxruntime/transformers/models/gpt2/parity_check_helper.py,sha256=FFBML7w0N8R1YD_Qsn-vAseSEdc06PGtc9ASyiJRbsA,5660
onnxruntime/transformers/models/gpt2/__init__.py,sha256=BwRvaUkfYSrGVdz2T6jCi-cH8gR9UD3q3GrtMtkJL8w,483
onnxruntime/transformers/models/gpt2/gpt2_parity.py,sha256=h4QfT9RT1j-Vap19kG7YxRYK3ozRJGtBUzx86GxZM70,17724
onnxruntime/transformers/models/longformer/generate_test_data.py,sha256=0uRFApz5RyDUKr9wKlAErFTxv5XHMiXrAa_1HtJoehc,9617
onnxruntime/transformers/models/longformer/longformer_helper.py,sha256=Gy-bBf_cR09_GHzJOHwHRuTsX_lv8MH-07R8G8IvWZg,3103
onnxruntime/transformers/models/longformer/convert_to_onnx.py,sha256=Ez0gfyY7y6EEnUDIzw6FzyI4kQYSNP7ojFjH98bTQ68,14806
onnxruntime/transformers/models/longformer/benchmark_longformer.py,sha256=3YikL-2WOK-HTR8HxaMtVOhKzDl4WUTgzGzk6nvAHFg,29461
onnxruntime/transformers/models/longformer/__init__.py,sha256=BwRvaUkfYSrGVdz2T6jCi-cH8gR9UD3q3GrtMtkJL8w,483
onnxruntime/transformers/models/llama/convert_to_onnx.py,sha256=FO72DlNZY72UljbfQE4JeDis-V_9gD2rH7B7K1waYtY,22017
onnxruntime/transformers/models/llama/benchmark.py,sha256=1rxJRsIPRWXDDfql0GZfZLKqk02CI_CqqYE5yKV0dwM,19283
onnxruntime/transformers/models/llama/quant_kv_dataloader.py,sha256=JebmHm0FIOFoAdDC9_P_WWoJFX-Kw7dE3tBQG4x_9Vo,4539
onnxruntime/transformers/models/llama/llama_parity.py,sha256=bqaJ4Elg2VHJijXkoZQKY3XqZytpUGSg8UP6ifit4S0,3995
onnxruntime/transformers/models/llama/llama_inputs.py,sha256=kfFHBFvw6kvdwvz3q_kw1cAwATg8r-0TAfIRDaUngjk,4563
onnxruntime/transformers/models/llama/benchmark_all.py,sha256=QwFoiQWv4oaviXRCMK3ELY58dPdAdYJ17pP3s17TUSs,10399
onnxruntime/transformers/models/llama/__init__.py,sha256=x0v-uxUz39CSawLG1RB-Jsdh9j5X2wlhS3KJuwvk3Pg,478
onnxruntime/transformers/models/bert/eval_squad.py,sha256=QabCSL-yJy0w1gIgfFJcWhWfJdo0lpBhy6Fs8430CWg,10745
onnxruntime/transformers/models/bert/__init__.py,sha256=BwRvaUkfYSrGVdz2T6jCi-cH8gR9UD3q3GrtMtkJL8w,483
onnxruntime/quantization/qdq_loss_debug.py,sha256=3IA7NWTV4oHaeufI_8AVfNA2qk6CReIOssubJnmsDHE,14996
onnxruntime/quantization/calibrate.py,sha256=hwe3-azcDeW3mGYE8_9S5C2M80hCTugzxYC6e8g0YCs,45479
onnxruntime/quantization/preprocess.py,sha256=EF1WpxfMOoGSJZbB04BL9K4-mAHY7xWj5thvz1t64dc,4904
onnxruntime/quantization/onnx_model.py,sha256=8rsln-4VDLXsipbOsq6027uX_9p4a2ekSu02TWR0zi0,19868
onnxruntime/quantization/onnx_quantizer.py,sha256=FEgxpPaM5_6L1XaK73_2FEbg48W1fIb2BovdPZA53Aw,52208
onnxruntime/quantization/quantize.py,sha256=eBKUsv-Ubh3BzkLlDZjkKxJ1rllVkYlPKgKmwErNQSg,32710
onnxruntime/quantization/qdq_quantizer.py,sha256=nUp-JOke-3fEVs0d4hW7dfsj4kH4X9osTXPsSyjTU_0,21374
onnxruntime/quantization/shape_inference.py,sha256=CbiDfTDqpWz-OMmDxnL9_jr3nucRM_yilukKNm3jPWQ,6681
onnxruntime/quantization/quant_utils.py,sha256=KpcwIMQIk8bH8pwrCXhIl9GF-K1-wEwAddsqBKcKmBc,23957
onnxruntime/quantization/registry.py,sha256=qlLcDXIh24j43-1h7VB77ZgfXPCXlsXv53vXs0V31AI,3567
onnxruntime/quantization/matmul_weight4_quantizer.py,sha256=Fnid07w4tc2GVveWcPAOITiIwrr2_D_pI282eifPjF4,9813
onnxruntime/quantization/__init__.py,sha256=OAg7ih9AlQWOLCTNqiNN6xRangBFjL3nd5bAwOTMKfI,745
onnxruntime/quantization/operators/maxpool.py,sha256=6F2D46x-7sL5bXPqTq4OjeK8HcpsogvdXNCIPTAmEek,927
onnxruntime/quantization/operators/matmul.py,sha256=IemALhEJ9JBvfr2w8bogLUB3Wp__44nqSOlnwUotDn8,7585
onnxruntime/quantization/operators/argmax.py,sha256=hrO0DIgI3zwzlW6McgfSWz97bUvHuWGTsyH2uhG1QNE,571
onnxruntime/quantization/operators/qdq_base_operator.py,sha256=gzpVMYW9pZiWRgbZEHpKgGuWqcOiMssYth-Tpyad2sg,801
onnxruntime/quantization/operators/concat.py,sha256=GscjzDJjnHjFR_RH9p0yFWTAKePojnQyKr30VV2iFME,2087
onnxruntime/quantization/operators/base_operator.py,sha256=dKKc9w0qLnr9HOtKTG8iJFKZPwNwd5Vldu-1RJmPyvk,1092
onnxruntime/quantization/operators/activation.py,sha256=ESYy8P4f8BfxleyA0wsDnJ3NCirSB4Oc_EiX7addCGQ,4346
onnxruntime/quantization/operators/direct_q8.py,sha256=T3W0praJHnJYzN4VYuEP1E_dr93Yc929THsPQ5yIUSE,3272
onnxruntime/quantization/operators/instnorm.py,sha256=kdlPVmpCF60QGqqzegoPKRTKLi9XCuil6HftOyQ0NAY,1085
onnxruntime/quantization/operators/pooling.py,sha256=ZTI8FjLwk-eao7-qY45cCsUtoblZVvJ7PIZ0W9YpQEw,2218
onnxruntime/quantization/operators/conv.py,sha256=GdGZqoNXrMzNafgp6cdsaMuwjz-K314MEOzxx04BP4M,9661
onnxruntime/quantization/operators/resize.py,sha256=XKpGZ9r7Yk9DOYLAQRc_mKy-jviE83WnT4FV65CLTLQ,928
onnxruntime/quantization/operators/softmax.py,sha256=DFnmjbb6Nk7Ft7tEYAY5gBAIVTLw7n_uCkPhpdo96D4,3295
onnxruntime/quantization/operators/lstm.py,sha256=0RQB3uE1umkrRMbBNklCxVaHVySTnJ7qOfxZUZVrJ2Y,4999
onnxruntime/quantization/operators/where.py,sha256=tDr8XSGQE6VuQ2U_miRNsOiw7-6XZkeO96dM1naX4eg,3040
onnxruntime/quantization/operators/attention.py,sha256=RbfUlkFtLP1O5wLlwv5H8YolNejf0XyuB4RfqGKVleM,2564
onnxruntime/quantization/operators/pad.py,sha256=XzdwQ2kXhEOTA6z3JAa2tv2BOHa7tLHF-zi_iQ3eWjk,4753
onnxruntime/quantization/operators/gavgpool.py,sha256=zbLZUxYq94tx-OVTZWv64AW-y8Mvmk-2cXQNbKM1KJY,2383
onnxruntime/quantization/operators/__init__.py,sha256=e1MWFAWOJ_Fnj76lc8LnG22v2Kwi_yNvKh0aqkidEKU,83
onnxruntime/quantization/operators/gather.py,sha256=NJtPKG_uIPdWpkVnCOlN9bKu7hEoCr8u-ex9BAmSdY4,2102
onnxruntime/quantization/operators/gemm.py,sha256=Vy-BOfs23aMWUC1_GtvYc584jNjkuEvjPSkukPNuQew,5956
onnxruntime/quantization/operators/binary_op.py,sha256=QHyza_ubCH6KLKp7JtWGoNLYBOLVxhuCh1crmIYL9Mo,2472
onnxruntime/quantization/operators/embed_layernorm.py,sha256=aGq2yw4ZtjvgC5_teAI_fAn18UEgr1ShJrXT7t18JGQ,3937
onnxruntime/quantization/operators/split.py,sha256=OzLIIQ9CYSp-sGLczGS5FkJT0lvkGSzumOL9iz04V48,2181
onnxruntime/quantization/CalTableFlatBuffers/TrtTable.py,sha256=zjA-WFd_IDkYlI-PmAQAmfRCeN4txTIxN7AdoqIFW6I,2575
onnxruntime/quantization/CalTableFlatBuffers/KeyValue.py,sha256=_sxYZW7jGxHTNkVq0-bl_OToq2DdMXGOnpaHVhgN2Ms,2172
onnxruntime/quantization/CalTableFlatBuffers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
onnxruntime/tools/pytorch_export_contrib_ops.py,sha256=7sqiiSb8xX2I7_Mk53gfvT_GcuUpn5aFSdgpIyfHbXs,3983
onnxruntime/tools/convert_onnx_models_to_ort.py,sha256=guEl_TnJe3H2Mw9lgKOW8ozcDDfkgkuWVOxaXI2ZO6I,16519
onnxruntime/tools/logger.py,sha256=ecrRwlGGYE1SFIIM_CDTgeD2AFrAtPUPZgiM92NtYB4,309
onnxruntime/tools/onnx_randomizer.py,sha256=TrcFpXWQQmoTVRiEwyW04eN9Em2HlQCZfdOvZW9x54o,3276
onnxruntime/tools/file_utils.py,sha256=O01Y8jzKnv3u_y193b2e9L_1248SLwDyqKa9vYuAqxA,1523
onnxruntime/tools/onnxruntime_test.py,sha256=NKbMIy6iof9VFhlOdYiOzNMajfcAq0qXByWXKCOPucs,5606
onnxruntime/tools/update_onnx_opset.py,sha256=nfFF8srjpTyO8SCnHZMt3zdMWB0Q5HB1BgcdZAnc7UI,1151
onnxruntime/tools/offline_tuning.py,sha256=yKq99nKjV8S1J2Z47NQPR_xhN3ax1KlePG4Er-K-ccs,6211
onnxruntime/tools/reduced_build_config_parser.py,sha256=94Ms13pmos-p9KbXD22qMUldXoUe2mPNFGl4eBo35-c,9935
onnxruntime/tools/check_onnx_model_mobile_usability.py,sha256=Kk4Fydf5CrjKsU4D5P9z7ywy6CFQd7LfcFPa3r4eyTM,2804
onnxruntime/tools/onnx_model_utils.py,sha256=htBNGZNbdi4PeEhaLqJlLJ0AoqO1mJIH-NZtwGIYmXc,14052
onnxruntime/tools/optimize_onnx_model.py,sha256=Id5EnsBHf4pwl54gHfNV1S1wswpO9SiFYjuIia9tyOM,1914
onnxruntime/tools/pytorch_export_helpers.py,sha256=Lc4VdbslfrQ6UtnG7U6ZJhxN_0IG_oHMgWfj4FIUP3U,5840
onnxruntime/tools/symbolic_shape_infer.py,sha256=HmZp8gIm9SqqGj9nesT2ti8N3TaPZH6iKODqRIcpV2U,131573
onnxruntime/tools/__init__.py,sha256=ix4eytbWVV8QKeZu-NVPjb8oIMWrSE0mKzfVhn7chBk,518
onnxruntime/tools/make_dynamic_shape_fixed.py,sha256=a85YO7eQtB7KMMgVkqMGAGMODSKoagYvDxpxDAxiP-c,2536
onnxruntime/tools/ort_format_model/ort_model_processor.py,sha256=0Yz9wX-xc8mgevvhZiP3x6xG0Xd4JdSkNMU2Gzuy5vg,4398
onnxruntime/tools/ort_format_model/types.py,sha256=QkmC1WFztFykG_wp8CJBAhgjTS2us2uKM8qF5ZMyznc,4382
onnxruntime/tools/ort_format_model/utils.py,sha256=crQSHZv3cu3xgXVQmfTx1WS7xHeO0QA_GxH821myGxg,2542
onnxruntime/tools/ort_format_model/operator_type_usage_processors.py,sha256=yB_7BbqSBt3yyF5nCtXZd_nNXgarOjD8cgN5tJZ5E8Y,26704
onnxruntime/tools/ort_format_model/__init__.py,sha256=2Pvm73ZSUlYyX5E4MO8EvZlGUqkGVMO4-iZqqqHkxhA,1353
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/KernelTypeStrResolver.py,sha256=J_qf7Y3kFlCT_4Txo-Fcwch-LDwuHsd21nj-7H7zjXc,2189
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/ArgType.py,sha256=TD2ja50jHdEbbnfs7KRM1nWT9dzvDV2weFYaNJyGO4M,141
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/OptimizerGroup.py,sha256=1eWE4gl13H8kigc9zFLtIVOVRttW9OsxCmnRRDt9D_Q,3165
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/PropertyBag.py,sha256=AYsmFiPDDCycRiwdTNUHpUm9Opsu_UjMZ5-WAHIiN5A,4073
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Attribute.py,sha256=96yn8srI5g18DiHLBBBM5Z_K5RR5sDMdLLLuceAA_DY,9076
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/OperatorSetId.py,sha256=OJf5ssDKoe7zOSMMzUht_FkUzE8a87vm3ttcPwIu71E,1577
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/DimensionValueType.py,sha256=4-HP2JXORHu53tkS7A0QHKuk9r_a7qu7f6MV69FVpF0,167
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/DeprecatedSubGraphSessionState.py,sha256=bQYN2knWzigGDzFWq6Teq6vPu0qCh3ppPRfYJj8oMfA,2063
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/TypeInfo.py,sha256=vlLvSOphmYSjl-lAMF2lHj5-X3B1YLq7BH_O5YQyeqQ,1984
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/AttributeType.py,sha256=nLRyzdIKRh-ZFVjI37iL6fex3lfigUsrCaguUR-n56Y,329
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/RuntimeOptimizationRecordContainerEntry.py,sha256=kdtzCJAx4A_-XXb_KjKq2nx6XxqHRh5TItGaMAZHlp4,2891
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/OpIdKernelTypeStrArgsEntry.py,sha256=KwqzO4S_jEkikXZFHYLcPvW2UPvwGWzLZfIxHsIGyng,2601
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Tensor.py,sha256=1YLPGX4U0eQ9ZBajTHCDK5-zxs8M-68ZoAiXeF1XLCo,5012
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Graph.py,sha256=VRILETBDvYcEUNiD6OWKGOOWxQhXYOLrXXFl3a3Y4GA,8773
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/IntProperty.py,sha256=yPL-iolJUgMeZduqoRUyMnpW7xGaWyWLOLZ97bpOlyA,1539
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/DeprecatedKernelCreateInfos.py,sha256=QOG-USCKOXOdwcD54539h33I2ac27du_I_ZPekAoltU,3667
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/TensorDataType.py,sha256=W4Wcjb1Yoe4G50l9ZsTbMstQ11kZbGymYEsAQZJUY8U,475
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Dimension.py,sha256=PE3gSAN908zYfuRkxOH-OyHQ3ENd4n2XFB3wQR-JCb8,1744
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/TensorTypeAndShape.py,sha256=fbd_rQczDD6NiEv713XrYfbYvqlJf4I8DYxMj3eyKSU,1780
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/ParameterOptimizerState.py,sha256=p2TAHFQIv4AcQE0CckkWrljEGNuQGTDmIsmQ3eIw7NM,2475
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/ArgTypeAndIndex.py,sha256=SYr6B0aGDRtXjqH9jYAylHlj0mYyjt_aqf77mVR-XlE,1567
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/ModuleState.py,sha256=zNZ9f1m4Mn4DITMvE7ciqadE7MzqCD_qDBJMnbXaSlA,3095
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/EdgeEnd.py,sha256=j3WgeG885Gm386z2SBzCi0HeGREdh01M37Rc-iM87SQ,1048
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/NodesToOptimizeIndices.py,sha256=s8AkvZYjTUqDZSIov-IV6FQI4hWn6LcAfxE4FjbTdpo,4678
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/KernelTypeStrArgsEntry.py,sha256=e-frmO3Q0nLcmmzvB-edzYmtCsKeHusOzIEvubRwEiI,2469
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Shape.py,sha256=gDtIkm4uIDLx7SMqEdpBlmQUlnEhF2yj_-9W-PJpwHo,1834
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/DeprecatedNodeIndexAndKernelDefHash.py,sha256=ddE_7sz6th5OOdJQ5YnHbw_FMA8RPzkukPmlJU01MUI,1879
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/FloatProperty.py,sha256=3R0VMfec0nS-Pkrj-bXP4xM9noziYvgqovZPV7GUGoQ,1569
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/NodeEdge.py,sha256=zmWNljgSJLDy72iH_4FsbMykYU8niPlRwJDsY4px7O8,3251
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/InferenceSession.py,sha256=8mejPe6_4FUXFhNdg8W6c46a6woUgxL-CuUVJYM0Xrg,2417
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/DeprecatedSessionState.py,sha256=eHpiYMDB8APAGxyFnyVNKIe7L3WQJRHtB1GyP-CKeQ8,2871
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Checkpoint.py,sha256=hJMdLWa0siSkNqT_2Sr1uo6Av2S28-QjcBkkLrGk58o,3404
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/StringProperty.py,sha256=aUtZceyeF3UwpeGRcN-p9aBuumY3gOtPta7SCx49an8,1600
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/DimensionValue.py,sha256=KTpEO7Sw3EKX8AQlyWrqsd2hwLVGboFmq1WWy2Wpwt8,1936
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/__init__.py,sha256=6kmf2M_iyeXczT1oVap44dHuO31sUhS-wT9xnQKqKZI,245
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Model.py,sha256=I0i1R1UH1Nmt7rMDHG6ltTWp3LuVKJOwH2Fbyd65DuQ,5995
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/SequenceType.py,sha256=Gv-HVu5KDKiAzv02v7lsoM-_A_4gG4XDrRh4lB-kVf4,1397
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/ValueInfo.py,sha256=C1R9n73ECdcmpu98_NC3yNB8Lj489TxU3UbDK-UNwGA,2062
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/RuntimeOptimizationRecord.py,sha256=gBX-MK2-G-TgGtnu3tF8Jrb6voqCwKePd3KxxCWifcQ,3122
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/StringStringEntry.py,sha256=sqK3yVNxNdLyk_fyMgyvmuCOvPNeDUCecQr2Q1c2kyI,1629
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/RuntimeOptimizations.py,sha256=YELnDvxv0M51MSwrMrmo39HDqf8mqTrXhP-Lckv1z98,2197
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/TypeInfoValue.py,sha256=jWXIY2FBzA_5VQTsIdLa-aB-FUuokFs5sQScEtf9w5g,190
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/NodeType.py,sha256=XihVptSVmMP8frXBaNMbTtEK5-kZ2SosWbdnwe3v3zY,145
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/MapType.py,sha256=6Fz6vl3enh6qeGnlt24tGUSwF6POSUQd7PrnKWCz_gM,1680
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/Node.py,sha256=ncfKRDPmGQFooU2lZqrEcWhpiBF70OXQMlVsgbA-YGY,8421
onnxruntime/tools/ort_format_model/ort_flatbuffers_py/fbs/SparseTensor.py,sha256=j3VKjHYFN9eeCkCeiM0JsafMIMjaHHDjiGckMAllLrY,3052
onnxruntime/tools/mobile_helpers/usability_checker.py,sha256=Wvk-1AAQVWdZX6FUo9COBJdnDEJxTffJuYq_XvwFkYc,25267
onnxruntime/tools/mobile_helpers/nnapi_supported_ops.md,sha256=5H-vBeRBiBLv0hn4vJX6oYfh-3lAwsoILUUun16n2gQ,2193
onnxruntime/tools/mobile_helpers/check_model_can_use_ort_mobile_pkg.py,sha256=o6WWP2SnKi4nz8JrcznjN-BQQZxjpbHu5zqxt1y2l5s,12388
onnxruntime/tools/mobile_helpers/mobile_package.required_operators.config,sha256=ycD6kNV4dqqFi9QY6h48mK4OLAbj1L-oQo_DvkduVWc,3023
onnxruntime/tools/mobile_helpers/coreml_supported_ops.md,sha256=yY2_-wVZ6J2j5uy1pVVIA0aoYy11Q0Gr9cWvtY2FGJQ,1636
onnxruntime/tools/mobile_helpers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
onnxruntime/tools/qdq_helpers/optimize_qdq_model.py,sha256=WLsZifVNVwwkX8Uil4TeA8mfsqtpxUMtb0flRN2gjzA,1242
onnxruntime/tools/qdq_helpers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
onnxruntime/training/_checkpoint_storage.py,sha256=3kx32ySR7m_KXt-HPFuyN0nO0flRgpO2N1tmsHcsE8c,4270
onnxruntime/training/_utils.py,sha256=oUzdq6lFKxT2Hy7vUGfsz1dO5ZHpmuliawnpyEDMtGs,10412
onnxruntime/training/orttrainer.py,sha256=jFA3D79M4zzoNS30nDuNdrK74SszBmjVdyfDllpYwGU,74904
onnxruntime/training/artifacts.py,sha256=2_t7kiaOiGk-fmJj_K5YwC-KpvPYeNSmf3D1n8ubxZc,9703
onnxruntime/training/model_desc_validation.py,sha256=EdvIi8Az_w4olP6bNSfSd_CM0c3M2cl8a8HaXlF43xQ,18443
onnxruntime/training/checkpoint.py,sha256=8dq4eVCQ6QCaH0zycd3QeCkz1A6YQ76w7_C_HqIYehM,34120
onnxruntime/training/orttrainer_options.py,sha256=xaaKIbMMkMSp47qXLOnQaF9l4tPajXSOxeDvP8MCXf8,31350
onnxruntime/training/__init__.py,sha256=0X8OjpWlbR74EpxortBr0vLpK_P651xbrb7xxnkX5pA,1190
onnxruntime/training/postprocess.py,sha256=LOGhLtfwHV2QobXl8xh0OiJof9mrAPgnoyPXGrkK04k,15302
onnxruntime/training/amp/loss_scaler.py,sha256=QtXm1OqjtUbV3-6YJ7Mx9wG776QsiqTyQo8c0cKocxA,4654
onnxruntime/training/amp/__init__.py,sha256=24XufmmEpx7pL-UBRcVnoGtT_8rXEiBKar6xGsmIDJE,69
onnxruntime/training/ortmodule/_fallback.py,sha256=NAIx904KCV3hRpWGf28QGljC5cq-KLzf_AktS0PY_Hs,8028
onnxruntime/training/ortmodule/_custom_gradient_registry.py,sha256=gjaXe7M64cTkkMINexxMDgyfqhQQp1g-QFlXoFujL4M,11308
onnxruntime/training/ortmodule/_graph_execution_manager.py,sha256=gz5v-v19bHRv62QxlhJEUI2VM4gXT8tYZWm3-2_4YdA,36018
onnxruntime/training/ortmodule/_logger.py,sha256=j1AUtjwcF5iRBPrLeZiSk2g7nJ0SWUwqCJnC6PiVxdM,10534
onnxruntime/training/ortmodule/_utils.py,sha256=aGB5x_TvvIEEJuHBgle4aT_zwBWqAp3mtcz47b7YlPI,20015
onnxruntime/training/ortmodule/_torch_module_ort.py,sha256=pS4Cm2WilhKAPft4IHYde3BPF4jDw7r3oXZtJ7InxMo,8284
onnxruntime/training/ortmodule/options.py,sha256=gYBMBc_xUlyxMvLgfeTuZTJieTzTvhpuU8Dgje027oQ,17263
onnxruntime/training/ortmodule/_custom_autograd_function_exporter.py,sha256=qtK0qJapFvFCFQeOCT278lKmkZIoYUPaH4AFXU3XWlA,14836
onnxruntime/training/ortmodule/_torch_module_factory.py,sha256=tmtqIaHfVuACjBGZqezeglpEl7VMdsIw_OEGQvETJng,563
onnxruntime/training/ortmodule/_fallback_exceptions.py,sha256=PP17eW4MvOJykZx8UYr_ifQGr0-0x0mwSMQiY1B-Vi0,2409
onnxruntime/training/ortmodule/_torch_module_pytorch.py,sha256=7Aju2NZDfquyAFKqk6sO21vTTwbGlVTd3ePEhExlSH4,3741
onnxruntime/training/ortmodule/_runtime_inspector.py,sha256=hRsewDrAmUr3tv7gdhRpDIyL8ta2N1Hd1ak376-jROc,22213
onnxruntime/training/ortmodule/_training_manager.py,sha256=RfU56Kt8Zzx38Ojk3bCWxzDq3ng2BglnbsVKauA4cJ4,24667
onnxruntime/training/ortmodule/_gradient_accumulation_manager.py,sha256=kPlBOE4RygNCapEd0R_c9g4fTvROdBfz76vXupO_Dss,4115
onnxruntime/training/ortmodule/_graph_execution_manager_factory.py,sha256=dmoH2Ay6lbGxMbwO1M-tKDqLxfqkGJOiFkAWAF8S1r8,1124
onnxruntime/training/ortmodule/_custom_autograd_function.py,sha256=fshD2omkz5-aXqsDrj0ZiuVxrUO0QvoeKl6ZdAL63SE,3837
onnxruntime/training/ortmodule/_io.py,sha256=PveAfBztnx032aQc-vVYoppqzKGPxAYe2QR90RNoE0E,25273
onnxruntime/training/ortmodule/_custom_op_symbolic_registry.py,sha256=LnSRd78Hso_rUiHxgqaD0BBsii5zz1B4vh-owgb7eyI,35772
onnxruntime/training/ortmodule/ortmodule.py,sha256=j7RpSI4Rfe81P1syk60evjtav-EmMvMSbDMkUKA2uCQ,16059
onnxruntime/training/ortmodule/_custom_autograd_function_runner.py,sha256=XVVI6aQPMvj-0GmU23VvLZjlGgJVXuKNVWy4U05uZnQ,36286
onnxruntime/training/ortmodule/_inference_manager.py,sha256=u7l_tsoNfaHgXklPhsMp70FSbwNyNO2vupJX15iNbXo,11395
onnxruntime/training/ortmodule/__init__.py,sha256=xM2PSfEdCc2C_Ayj6d1RitlbsxW_KoRHU19gRU-hIic,5103
onnxruntime/training/ortmodule/_torch_module_interface.py,sha256=t-9vnv2jmE2BxmyJr6tyjPpVjkDSZixPuBzWhLVaYLA,4504
onnxruntime/training/ortmodule/graph_transformer_registry.py,sha256=VD8u8B7YnMN6j5H_BdaYUnEgOha-3YBq-J1Z2xG57u0,2014
onnxruntime/training/ortmodule/_execution_agent.py,sha256=kOEWviYbfWLxZQXoydhyhxvCsCtgsurbtojuoOIwLLM,7265
onnxruntime/training/ortmodule/_onnx_models.py,sha256=KUocA_lRXYhkp-nbRqP2j-_0mC3utmcXLeMhMBMNLLo,1828
onnxruntime/training/ortmodule/_graph_execution_interface.py,sha256=L0d7AXcq0udQGlsAChx7w6R7TTtcLqUxsV1JeJLj5sE,1092
onnxruntime/training/ortmodule/_zero_stage3_compatibility.py,sha256=Y09uN_ZglxkuHqXOzkX_Y5ZrqC5kgF5PZQxsL3wBUak,14922
onnxruntime/training/ortmodule/torch_cpp_extensions/__init__.py,sha256=e2RX5GAtyonnyfjwIkHvXwnmB6KBFmGoiVMV1xrP4CQ,1835
onnxruntime/training/ortmodule/torch_cpp_extensions/install.py,sha256=CvkeKgihwFjtIwDTY7fs8h1iw0bAQPHQXLksIJhdYGM,4388
onnxruntime/training/ortmodule/torch_cpp_extensions/cpu/aten_op_executor/aten_op_executor.cc,sha256=yDvIvNd8aHTevYUjRv8E56Oyxu8N-zuu64NDWgsNrHg,9017
onnxruntime/training/ortmodule/torch_cpp_extensions/cpu/aten_op_executor/setup.py,sha256=HNl-cTU2n8P-d6Q8ayaGdy4wr5JTpSjk5Z3SLJ8K_ZY,588
onnxruntime/training/ortmodule/torch_cpp_extensions/cpu/aten_op_executor/__init__.py,sha256=lM4oB0KscrMuWynpAz-n6FvbdhZqpOingtDH9737yuQ,1157
onnxruntime/training/ortmodule/torch_cpp_extensions/cpu/torch_interop_utils/setup.py,sha256=B8rnCI55ETGhwqRgEQicmz7gdpK36EtZZwG2ctE0EPo,735
onnxruntime/training/ortmodule/torch_cpp_extensions/cpu/torch_interop_utils/torch_interop_utils.cc,sha256=NcjtkWdgdqoXjERtWqzdZkcO8uH4F9CRcRxYGLYWGj4,9960
onnxruntime/training/ortmodule/torch_cpp_extensions/cpu/torch_interop_utils/__init__.py,sha256=n1wvW27iL3y431AW36yGuU-uEW6Pf7w1fMDSI6P1tAw,342
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/torch_gpu_allocator/torch_gpu_allocator.cc,sha256=sWo1MVHLFBCD61jAbsGzvlu-ilU3WHFkXVTo3y5Drlo,1417
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/torch_gpu_allocator/setup.py,sha256=6d3PfmOTGQRl5lrebBVMWriyrb5owQEAcgf1eHnEqVs,1584
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/fused_ops_frontend.cpp,sha256=5g-1l2iPCMmyBaPPP9-UpCjwSL2nKwi4NClYIRYFbS0,9881
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/type_shim.h,sha256=8lNvu1sSvHa1H2Yn9UuSJe_cdlImdo555oU5EPn2swc,2757
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/multi_tensor_adam.cu,sha256=0QuG_mm52M6CnuhBPWnPL8qEvL_nyzYycOPPNaMRwL8,7099
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/setup.py,sha256=v3ARQGtO9MmnYt-wPW9hGSgTjpd_XZRK8iXM8v7276k,1283
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/multi_tensor_l2norm_kernel.cu,sha256=zahR_MmU9C-oUGAKUrvdX5HxhOvSVgOGyTd39HCvCmA,6210
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/multi_tensor_axpby_kernel.cu,sha256=v5uh90UOiCQmypnkeIR0LZWKMM_74byae0fjbHMAXjw,4902
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/multi_tensor_scale_kernel.cu,sha256=-9vtx4oUdET3DyG0yXsz1AkCwqXHX0YC82WjS4wrkP0,4358
onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops/multi_tensor_apply.cuh,sha256=41jIP3IbWmT1JLQyb2-ZIq0Fm_9CxkPkPSeeDyR4wdo,5640
onnxruntime/training/ortmodule/experimental/__init__.py,sha256=PNXlZOytjOJWLx52pw-cYWuYi4EXQhN00h81tFiSoDM,108
onnxruntime/training/ortmodule/experimental/hierarchical_ortmodule/__init__.py,sha256=k-_P7bZ29Ch0mi6E1pEDz7M_ATGuyghNG882O1Og0AY,182
onnxruntime/training/ortmodule/experimental/hierarchical_ortmodule/_hierarchical_ortmodule.py,sha256=99FxcVBxLQVL-GO6LDIZuk6Jqx5Ow8TWXNfOpWubH-8,12881
onnxruntime/training/ortmodule/experimental/json_config/_load_config_from_json.py,sha256=DEgnmy4qdKklxjWP7SG-D_nvtWyGTvtNgSxFDVEq6ho,12969
onnxruntime/training/ortmodule/experimental/json_config/__init__.py,sha256=s2p0ONQ3Ip1NglZKkfChHJRsjd75pFGSlLXXrWEkqUs,272
onnxruntime/training/ort_triton/_sympy_utils.py,sha256=mlbZIopKnl_eFGpHmziMOXUKHQHeafEWr9ib1ECiIAc,858
onnxruntime/training/ort_triton/_codegen.py,sha256=A3__PDWhoH0lkDpTp2pcA4uVQwrJKJ4paA-lEF0rw3Q,23241
onnxruntime/training/ort_triton/_lowering.py,sha256=ovzKwWhbGfFwiG2hzyS_5x29OwXyEDv1DTRn5Q8v_Ws,26439
onnxruntime/training/ort_triton/_utils.py,sha256=ZN4vByaEtKHvYT4EC8WxUTIiwkkFxNy7mnuyeLBW6p4,5071
onnxruntime/training/ort_triton/triton_op_executor.py,sha256=ER0wDRQabWMm-tB5-twqUxNW9yeaIwlWrvEs0bghq6o,4054
onnxruntime/training/ort_triton/_sorted_graph.py,sha256=_tMhgYJe5tWdpta0GUzzkua3_jDiqkbWB3L3N0YVOts,9664
onnxruntime/training/ort_triton/_decompose.py,sha256=Q819GFxIwuqXssOcmg4Dp4bGXlgnxE5mtDn9H50Jjps,18501
onnxruntime/training/ort_triton/_cache.py,sha256=G5Yk00OqisLoKNjO5dLOX5skT3cKMb9ye5kW-R49ol8,2446
onnxruntime/training/ort_triton/__init__.py,sha256=-x41RRNj_uKohdHdz1a8pop8vSKm1G8SvKvNSYlQpps,1471
onnxruntime/training/ort_triton/_op_config.py,sha256=JDkm9rUj_Yw_05KUidAKICbBcOnwImNdqdwnGwnt95Q,3300
onnxruntime/training/ort_triton/_ir.py,sha256=W8s5mGPve5XjOavJNCsOpl-l1gpByUlWVfjPEs21Ydw,15871
onnxruntime/training/ort_triton/_common.py,sha256=WMiqlTGHNKZKuWeKUAnxj8pCYTSgfZAqNQ2jfyw9VOM,7180
onnxruntime/training/ort_triton/kernel/_slice_scel.py,sha256=cLcfo-y9pYwMeMsAYWecFoOeR98qaFRimf_o85Ls1no,14316
onnxruntime/training/ort_triton/kernel/__init__.py,sha256=6g0S1j1sVRh6lrzPUwLA4_ua1B1YJx8e-L33C3hd9uA,583
onnxruntime/training/ort_triton/kernel/_mm.py,sha256=EU3Pldlt4-7RIm7rF8leipWwiAy9kCWxbGX4lKD9eQE,16446
onnxruntime/training/onnxblock/model_accessor.py,sha256=1THDrbsXFtrnjnqffxuZwh9zwfaaSHSL3wVJZ8Xco48,4962
onnxruntime/training/onnxblock/checkpoint_utils.py,sha256=6cSYbELzA0SlM7rn3dC5-NPlXE9yJSWvCI9n8P3gy9Q,1658
onnxruntime/training/onnxblock/onnxblock.py,sha256=DH9nPgkcQZjMvmT1pWZFHJ_IffwdRPk1MoavWYlU_iw,8887
onnxruntime/training/onnxblock/_graph_utils.py,sha256=P2qxlcZHkCe17-ryH21uy5ZbOfLZAhMgBPegVOyc6Xk,2923
onnxruntime/training/onnxblock/blocks.py,sha256=kVti3c-4n4KndIogeNWKbEoUK46p9c3Z83h_TkNMVO0,15195
onnxruntime/training/onnxblock/__init__.py,sha256=W0KXyXhhgzTAjRRP6Ccr2sYsucxm5ZZ0d4_EO70Eado,878
onnxruntime/training/onnxblock/_training_graph_utils.py,sha256=bYx_ytr5KNn5o9etoHgDNG3qJrG-sCmcbC5JksR8-LY,9697
onnxruntime/training/onnxblock/optim/optim.py,sha256=Xgty-E11d1K1r6QDqBBnuw8Dc8MXryG2g-A1lwOVSxo,10260
onnxruntime/training/onnxblock/optim/__init__.py,sha256=_vj5SHkK8jmyI7YgxIEr83Ch-5HZoiTZ7H3dQaw6Q8A,219
onnxruntime/training/onnxblock/loss/loss.py,sha256=DsCiU0UeQpc0mH8yI-bCGl5cSRupZJVLcOKSFspwug4,9762
onnxruntime/training/onnxblock/loss/__init__.py,sha256=BjmaGnzmeNjWScHDXymi7Yo9H4HQoAqYdNFsZfi9a8A,275
onnxruntime/training/utils/torch_type_map.py,sha256=CRJhkCP-_OsbAbHMcFzQ6a3ZZODK_DwR_DWp0lN9aJc,2571
onnxruntime/training/utils/__init__.py,sha256=_C03JLK49GLWum7peQ-7A8E4kYJz9caM2D_xO1zVJjU,640
onnxruntime/training/utils/torch_io_helper.py,sha256=dLmth7LRGXDfkP38z6q8m2Tl9Csn741fHjz_JBVDQyA,12828
onnxruntime/training/utils/hooks/_zero_offload_subscriber.py,sha256=OwvSBtXf84pVxohFPnF6Gi1T50YzgZJqUyn7GFVJJ9U,28165
onnxruntime/training/utils/hooks/_statistics_subscriber.py,sha256=yNocW6BHOjMss9CyG_AUdZRfquOKe8sBbCL1Tg0qyno,12394
onnxruntime/training/utils/hooks/_subscriber_base.py,sha256=XmnJqvO1o2muiT0YM3_bKAU5_pAfOMgoUjpmI9PlB18,9136
onnxruntime/training/utils/hooks/_subscriber_manager.py,sha256=tI1CSxd6ydcNVv2TIx7rlEovoph0SQ8PbZxkMrYWO_M,13843
onnxruntime/training/utils/hooks/merge_activation_summary.py,sha256=gqW-5mxJLcnUWvHVkCRoU59r54MgnXoFU6v0jcAq6So,5536
onnxruntime/training/utils/hooks/__init__.py,sha256=BDawllcc--vmPBVx40KX0qaUjEch3P7zk2Re3kzt5Oo,1388
onnxruntime/training/utils/data/__init__.py,sha256=RGc_Mwfg3B5SKHZTcEFijNrTTtMITyA4q6Y1GIN4i7A,214
onnxruntime/training/utils/data/sampler.py,sha256=9t0rwSNJnp-EQKmWd759HPP3ZkW2tSqPOQ5dPwO7okQ,17352
onnxruntime/training/optim/fp16_optimizer.py,sha256=ULfRqI3VopOBDVk9TmLrfcge7NMgIyrBmW22AvsF4ss,4236
onnxruntime/training/optim/_megatron_modifier.py,sha256=CB5MRA_ZiZTTFoONd4cZA03z9BM0INDnmwvd2ZbvTxY,4096
onnxruntime/training/optim/_multi_tensor_apply.py,sha256=37ezAHUH4fJ5WAf7RDb7gcujBl_Z1vp_GglOUgnepuM,543
onnxruntime/training/optim/config.py,sha256=6YKiW2XFqXBnH64HDcw1yRa632y6cM1lYY-9xc5drjM,12348
onnxruntime/training/optim/lr_scheduler.py,sha256=yK5nCPCc6XGT1Nd7Xmjk0yu2Zf4ZgkhxVvxKuRlcsG0,12694
onnxruntime/training/optim/_apex_amp_modifier.py,sha256=lXvyF3MTg958T8LoO-1u-DgHOib09mkUwHSpL5Jo4SM,6413
onnxruntime/training/optim/_modifier.py,sha256=b3WFODqXGgJauXbr821IvcswMUfAgnnM5BRe7go4uGo,6634
onnxruntime/training/optim/fused_adam.py,sha256=n1e4HNPE7lAATaPxL7ud-scuvIEYEjxLenKOf5CEjEQ,7906
onnxruntime/training/optim/__init__.py,sha256=LnW8XbGTtczpMPu32RXa8TBLBweKghipgZzjB-fkjZE,511
onnxruntime/training/optim/_ds_modifier.py,sha256=VjNSMjSd_CpruyVFUExcEl9zLTz864TVSYIVWHFa4ac,9312
onnxruntime/training/optim/_modifier_registry.py,sha256=IUC4g2MulCfhqgdbJocFeWm9Wg8-K1BvhYBU92YIpN8,744
onnxruntime/training/experimental/__init__.py,sha256=Lr-28L3JmvbLkPc99ZAcFoeQafhB1KvsXFQf_gaoiUM,86
onnxruntime/training/experimental/exporter.py,sha256=M6ENc_WgHTF59aESoHkt1gcL1cpGSEoSWgH_orHtnao,833
onnxruntime/training/experimental/gradient_graph/_gradient_graph_tools.py,sha256=gRkaRCFDht4EBhy0wOL7_OjWZTxa9R-S5n1j2acMPxY,3382
onnxruntime/training/experimental/gradient_graph/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
onnxruntime/training/torchdynamo/register_backend.py,sha256=zfqT2pUvJ_Hh_jniPBQSszGCB1uaQRsWEStvDcqWKaA,3617
onnxruntime/training/torchdynamo/ort_backend.py,sha256=c4i3JRUpC8_AL5NwLv_9f-uG2IjDDPGM2H0p3yG3txA,34134
onnxruntime/training/torchdynamo/__init__.py,sha256=WSNxt3l4lkWA_0vhw1ED4I7KOO0mnAuHwSgFYqbq0Lg,247
onnxruntime/training/api/lr_scheduler.py,sha256=WewktLqzWOT6Uaq4jxmFULk7rPfyR4Vce0jQQQT0w6Q,1367
onnxruntime/training/api/module.py,sha256=CQD7s4ZQPccB9P9MOwE37E1Idjx7zIzXYGt5bLJWixw,7586
onnxruntime/training/api/checkpoint_state.py,sha256=dN1xRmU7sJvWHJAyTN8ufJ0xd7vqsAohqpo1UCmwdhQ,8367
onnxruntime/training/api/__init__.py,sha256=PNfIt-hyI8F2ojDowBnSEPzCmYaNwq5dX_igoKIQ4aQ,435
onnxruntime/training/api/optimizer.py,sha256=gxHlsS5WyErGo2wCimDOR1rSJ8_y-EC2FawLtOYiXjg,1569
onnxruntime/datasets/logreg_iris.onnx,sha256=giR4TJjXNBLZ_ZmrzVejhWi9WQmA0PvlkWRkUxxS6Pw,670
onnxruntime/datasets/sigmoid.onnx,sha256=U0Crpnp-NHUWKteUN4r1XxcY9V-aXXS0r2Dsx_emJLY,103
onnxruntime/datasets/mul_1.onnx,sha256=cfQxxOkyHsb76xWNAu0kBFmn3MmGc_p5pPQ5zkLvrxA,130
onnxruntime/datasets/__init__.py,sha256=c5m9UfRXSJZb7tiLxkHsPI2cFyPjAOXAdYEC9jVMXpQ,454
onnxruntime_training.libs/libzstd-76b78bac.so.1.4.4,sha256=F2-A6yQ3AA2N0vHZe-81OfEUOcwgjjWiOnYAxk2Kflc,686073
onnxruntime_training.libs/librocblas-f4fe3ed3.so.3.0.50600,sha256=yWEXoYi0aBpvbwagI73Fm7tO8YdWB-FKVal4HhvCIsQ,390086337
