axlearn/.DS_Store,sha256=_lO8CW1vSLn6F04C--sBEQzHwJ86yL9Qmm7C_V6lWEI,8196
axlearn/__init__.py,sha256=5wwrtrl-k1S7ide3oszkxFJ3oqZE2AIomMzB-SgtCRU,47
axlearn/cli/__init__.py,sha256=qtmKP_TIZFjxoZXu-ICoIKZJSY6erpmje_36fgCIFLA,2198
axlearn/cli/utils.py,sha256=B01As_hbxQcR9ktEj_qQl5_yrLMB-RFPKSSav1PkBcY,11450
axlearn/cli/utils_test.py,sha256=A-gRO7_LfyDx5FrypQ5iPZo5UMfDbfWmaMlqDYoLGZQ,12761
axlearn/cli/testdata/dummy.py,sha256=xgUsxAT-1rLB3wMfbXVFMxVKWg1e24rATBvWk3P7s3Q,535
axlearn/cloud/__init__.py,sha256=UghKI-k_1M9B5BzM-7qm8Eiz5wyY4mLD_zDszEyf4d0,225
axlearn/cloud/common/__init__.py,sha256=ZVlK7TPX01OBXHZU3lywiBMXvKbxWqSZk4ijODcdPyo,63
axlearn/cloud/common/bundler.py,sha256=MJ9TzLrll-DlBTZ6h4_as1EAYdymDLIWKqU39CgLeTQ,18978
axlearn/cloud/common/bundler_test.py,sha256=ofA2u8L7GIMyyOX-ch1P_7qT_NyTGMGl9l7xSn78gx0,6732
axlearn/cloud/common/cleaner.py,sha256=R9kJp56qXCMSYNMLwZOg4ImTv7LY2y2fB6iK6zOT84E,498
axlearn/cloud/common/config.py,sha256=rPkp0oZK2l32BjAw22aYe51MCS1tsA0ynnoncFVo1qo,12314
axlearn/cloud/common/config_test.py,sha256=WQAJTup-G0yCUPTp_xiAO53HkkoZGsecZcDR5iyxaS8,16750
axlearn/cloud/common/docker.py,sha256=mzZfOyzbFPZ1svJaIjRT9ocV-ply7XCLjtqtno3IAbc,2098
axlearn/cloud/common/job.py,sha256=yxzV-vL3KEygwwf7qlgk-70C9Yko_9WESSuIyQc4WMY,3505
axlearn/cloud/common/job_test.py,sha256=9pOwAPTRTKUGA001hTYHOj7k8cgoR1hvMa7nDtB-WLQ,2688
axlearn/cloud/common/quota.py,sha256=2CF_KGGwtDmnc2deADFifJ_KxwMDw6GUKiLo6CO9ijg,3014
axlearn/cloud/common/quota_test.py,sha256=N24L8JRTm6e5b3S6G3Ibe4scomXJE80V8nA2nJrmqbo,2142
axlearn/cloud/common/scheduler.py,sha256=N-FSemgQ2JTvBo1Q2wLl3GPCy2nE_rGqC4zORlOXN-8,16539
axlearn/cloud/common/scheduler_test.py,sha256=ack34jBjlQMGCW8dfM3x0zpaxVPPVSnqhyAbBBdhakQ,12530
axlearn/cloud/common/types.py,sha256=Nwcoa2pLhYZ7uFCWSwqD-JPcchrweVyRS45sozVw1M8,901
axlearn/cloud/common/utils.py,sha256=6Sc7xAejAQvCjxT7oDHFGYn6NVqevaoV6ODDGijM4E0,7102
axlearn/cloud/common/utils_test.py,sha256=kBRiKWeTj-OyFH7sfOv9fzcuTaFFlFWqsCPeIvaRk_s,2596
axlearn/cloud/gcp/__init__.py,sha256=uCT0BDVQS690nf6_qm2PGXh4tiG4RpEp-x2npKZvQcs,58
axlearn/cloud/gcp/bundler.py,sha256=gkmaxunmaFgSMBzfwlLU0XRhNR5ltJWJ8gbly5DJSIA,5948
axlearn/cloud/gcp/bundler_test.py,sha256=kPDhuP_viQ2J_LkFrNlnV-e5YB0ylfESYk_ISJMfTpo,3254
axlearn/cloud/gcp/config.py,sha256=Y3WFK0ntxujGJIH_V7ZMHW1rOSTXGzIWGf3dfnTdCzg,3345
axlearn/cloud/gcp/config_test.py,sha256=qQuyx6cxNHaUC2PuZcc1jCaWqW1e1dJ7yIr-KyyMubM,1734
axlearn/cloud/gcp/job.py,sha256=QPGeL4F1nR1fdnlyT_HCvP7cpFz5KxnDkmOWp7E2OYU,10959
axlearn/cloud/gcp/job_test.py,sha256=1RKZRO7axdKOsi3QQ37dqB4h_Js9Ani9ge5DRRh13c4,4892
axlearn/cloud/gcp/storage.py,sha256=F01fGLrE1pd8dogfKAkdMPSUkYQrEG5WjCPc-W0eFYA,5883
axlearn/cloud/gcp/storage_test.py,sha256=0gdJU24OCSlwZ2RATYETsG__H54e0WUYIVUKZZ2mYKk,2162
axlearn/cloud/gcp/test_utils.py,sha256=sEl1rAETsY60ZaAi25sX-z-5lP2G4BxKQSvTHMl0shA,586
axlearn/cloud/gcp/tpu.py,sha256=2jb2GHB_eDfz6aYRzyPK0minITG0FGb_YPr431lNHpQ,26071
axlearn/cloud/gcp/tpu_cleaner.py,sha256=xJ98AYTv6MBRODNfqaI9F3qXs-f-6RPhNo5KuVEbCXE,3930
axlearn/cloud/gcp/tpu_cleaner_test.py,sha256=juhdbrBmnSNnXaShG8J8jxY0_I2QF0a9pEWAAyOEBcQ,2539
axlearn/cloud/gcp/tpu_test.py,sha256=yuQJc3cMDRCIeYDFPKM656yBrqpPW-THHTC22frkT4E,4817
axlearn/cloud/gcp/utils.py,sha256=mOq8Nv8Jkr08NZ1EmCquso7Js6oMhHV10A23g9ToFR8,1905
axlearn/cloud/gcp/utils_test.py,sha256=TdjMU9my7kzHu_vphuS9cfNwII8y2L5k1nLZKh8_veE,599
axlearn/cloud/gcp/vertexai_tensorboard.py,sha256=ACsT_hm-ABnRXgOfSUKq614hrMDjQ1Ft0nT_p3YqCgY,5557
axlearn/cloud/gcp/vertexai_tensorboard_test.py,sha256=PYJmpxXo_4MDFJRIbNNiF4ePUXuA3BJom6ariLJatKw,2149
axlearn/cloud/gcp/vm.py,sha256=OrhuH_k4FH2-yLewqP6hcz2Tu-Ox8pgyp7dVi9G0LO4,12531
axlearn/cloud/gcp/vm_test.py,sha256=ivzgovklJ2j82ZRZ_Cbj4zzTyddIz9IP-iv0RVzp_-E,1255
axlearn/cloud/gcp/jobs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
axlearn/cloud/gcp/jobs/bastion_vm.py,sha256=RWMrPrf7LoG_IjYrwDFj0FaStcqr9th7RjPgjD1_dDk,49462
axlearn/cloud/gcp/jobs/bastion_vm_test.py,sha256=ZMUcpibkqzcEG1LS76ddh-9Gbsl8b2DukydEYjKQn7Y,29946
axlearn/cloud/gcp/jobs/tpu_trainer.py,sha256=wA88Ac8GtDmNyBihy2Z1wsDdin9yknTW2yFFnc6-RX0,19794
axlearn/cloud/gcp/jobs/tpu_trainer_test.py,sha256=N62EGoJoLt6grPwDNHaDcSrD51AcVCL6mri57C0eRqQ,4767
axlearn/cloud/gcp/jobs/testdata/counter.py,sha256=UVmXwhpZp5xuuBA39jrdL0WVdtRVN7qsTuH6CaqrNd0,869
axlearn/cloud/gcp/scripts/start_tpu.sh,sha256=9Ji154ot_k38Rpg3z5eSWhhvkIhDs2kmbZA98soUi08,3825
axlearn/cloud/gcp/scripts/start_vm.sh,sha256=3UJf42Lxl6UJP5APFVZfozwFLwf_Wo3Bam5sJNAgQ98,3428
axlearn/common/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
axlearn/common/adapter_flax.py,sha256=6WJEgcCnacw6sL4FrKM54O9B-JSaE9dqakryB3epcVA,4136
axlearn/common/adapter_flax_test.py,sha256=IyPAzS4s7H1piBGq4tU_OW_qPFAH6bD1kaszgNnXvqU,7324
axlearn/common/adapter_torch.py,sha256=KHxVd9xp-rZcY036LJkPScVlMFg4vg1czWp0V1viwL4,87599
axlearn/common/adapter_torch_test.py,sha256=nbaPLQctVSSrJJWuttXjXKkPKTHqnh1V08BgEXlSlyk,69628
axlearn/common/attention.py,sha256=TCP7e46kbIkEvhNL5EVzCJCpxqB383PjZ87ua-CSIr4,130784
axlearn/common/attention_test.py,sha256=FQJw8TTUWpr9bfQ4CY4Xa6IrkQ-Veeo3paD5x888yyw,101170
axlearn/common/base_layer.py,sha256=9dS5jJcqOa99sjcOeEPeklVCeRefppr6zT-lU54-8RE,16674
axlearn/common/base_layer_test.py,sha256=LLq_49RAnANJLQBJOCSlTdS-CXnilv4RGQhEk5X3bu8,18378
axlearn/common/base_model.py,sha256=53Unv02QIVTipdPDK0CPUhaAxtz4tFdYSLKPuKXxoGo,1196
axlearn/common/bert.py,sha256=fpQ_m6AjgD46qGxnnPcGKKy84sYhlRETQlzu5Z80zmg,20077
axlearn/common/bert_test.py,sha256=U824AXZ0ONvLhfuW0PDo3kwIxw7y8OnTOTJ3Q2pf3o0,26888
axlearn/common/causal_lm.py,sha256=R9oWee0ZMwyPtaz_ynThxnEH8O-Hgg0DtRWExUo2rqg,15579
axlearn/common/causal_lm_test.py,sha256=EMVcx7ZRNaOstCZh770Cu8wrzMqqeepK0WWG2mwS2oo,8918
axlearn/common/checkpointer.py,sha256=5nR3ylaPUPyQeHi6Zb3W0kTYob6DlhIpJNoH8BAxLFk,25325
axlearn/common/checkpointer_test.py,sha256=ibpgrXPoRRDEHfxuQT1jb27imvxmW8lFJmbn47v9IHE,24475
axlearn/common/config.py,sha256=QGwRHGRtP-Ms0gv_KJxBmvkJuPAX721LD45wAYkpHpA,24128
axlearn/common/config_test.py,sha256=C_gJ6p_agfmDP_QY7YT41PmnpQnDdchhEQAj4tkr1W8,19599
axlearn/common/conformer.py,sha256=iIppDAPxr6ZOtOq98S5YGg0WOPpOjo-QH7t-0cyu_LA,12869
axlearn/common/conformer_test.py,sha256=4pNZfPwQXTHQOAaw2zqVHrZRvETwz3tz1E645LNJKJE,11406
axlearn/common/deberta.py,sha256=43hn4CT-uY7qXKJxG_PkJt8HivnOSr8D9l6OBObG7Hw,24765
axlearn/common/deberta_test.py,sha256=OrwjDu3AHXAbz7V1NfBa08ahIQ9VPO-zNtSx4vWAAw0,25771
axlearn/common/decoder.py,sha256=0ilFNqh1ybnWER8eslxKow21LnLdYszCg8NU_qAQ-os,30875
axlearn/common/decoder_test.py,sha256=-xqeOjx_43MDsRM-ouKSvzjgHx5WwCwbq11l6yDwXVM,21330
axlearn/common/decoding.py,sha256=40rZBvJaklLuPkUydWOe-7z634TdVRmdcjbMs4JqdqA,43746
axlearn/common/decoding_test.py,sha256=QvSxXNQATeaiAwf5T0tIc1AGa2ZVRl6xhFYSTlRTJ28,59341
axlearn/common/distilbert.py,sha256=6EmfZVqpFsfB1dxOpmMd2BxMWpVTtWiNu8D2w35Fv5M,4150
axlearn/common/distilbert_test.py,sha256=CZxLqikx37qfFkieeAchXDR7a5envYyyAsde01qLtPI,3455
axlearn/common/distillation.py,sha256=cm8SNneZq83NLqJqkDvpqh5byBnpGDsKlrU_6U0oFRQ,13129
axlearn/common/distillation_test.py,sha256=jkDG3MeCNjeExf2TAU7vdjNvsHVMW5Eq1gmee6mIjcA,11226
axlearn/common/dit.py,sha256=wXlqKOv23Kipzcos12LcMhOjYooO-gBJ3gBup7bzRtk,16382
axlearn/common/dit_test.py,sha256=frnxBVN-ZHfSVnJImvZ22mxOMy2mwwd060MzP_oVQ5E,17974
axlearn/common/embedding.py,sha256=Ql2_Dlj9Y5TKY3iPIomXadDGn4gOgeaV-h5NEcJqICc,3996
axlearn/common/embedding_test.py,sha256=TWIk7RDKIrCkDnbdEFw1JyV1egOgmCT9x6J6cpcimgQ,4325
axlearn/common/encoder.py,sha256=z0FTYQtBi5loIozfABu0g78BNLsUwKxIZyu6AEKD4K4,19809
axlearn/common/encoder_decoder.py,sha256=EEdo0_Sx2BoxsukKwhTpZqKWNad3rHXRv7gw4lanGlU,14365
axlearn/common/encoder_decoder_test.py,sha256=YGFODqzotgYD-cAJAawN3KBz8ptS1TIAAY3ytarC_qQ,17280
axlearn/common/encoder_test.py,sha256=rtJjOMUKqMLw8mpBZ_EWKP3WfLtLGOfySd_6KFJKC04,15722
axlearn/common/eval_classification.py,sha256=wEPGQWVIjLnYEqfUxwWp8bwkQpTSGbkuSQqjpTnMcic,6452
axlearn/common/eval_classification_test.py,sha256=lxx30RC7hEzbOEvOqTEP2oCo2UdDE-oIPNOVUhLWgLw,9555
axlearn/common/eval_retrieval.py,sha256=zoVSZvAwKslN-K6bedjEU5pqohdf1c238QF2kwfuKSE,23741
axlearn/common/eval_retrieval_test.py,sha256=SQbon3nrHpwo4ZDGmEMQ_TrGX5Ti2FhvF2osXG8Neg0,18471
axlearn/common/evaler.py,sha256=p0m-uRPRRpmd0wiHzXo5FZT16HwL17K5wHeZavUjGaA,29787
axlearn/common/evaler_test.py,sha256=5qvdVRc0hrVg9YteJ5y9KPa0t6aGdgGiUpqkikBdznc,27158
axlearn/common/factorized_rms.py,sha256=xDwSqA_Sd3JXxsPfLG2LqQNHcCNuXPwNVNIMMack3Ao,9067
axlearn/common/factorized_rms_test.py,sha256=IWMqk0ZsaIXbyFuirYdg1V_SGD1XH2NG7AVj81ocyxk,6992
axlearn/common/gda_test.py,sha256=nRMjYXV0rf4u803feTO63RQcH4kI08HNTcwkgQUa2o8,2573
axlearn/common/host_array_test.py,sha256=G5V0ykZgQXyHMpdrAJLXDbAmOJrXogbcl6aWiEDuFwY,3392
axlearn/common/inference.py,sha256=KeQGesEHOMdwthpSBAqDdl-tjkwVhsKDkc46RFhIo-w,15971
axlearn/common/inference_output.py,sha256=lwGPO6iPICPSaSqIhcCYwE231mGlnyGLZoi__-pWsvc,8270
axlearn/common/inference_pipeline.py,sha256=ReZecENoteLtuR8oVwXtaDt87AuO5cSp0DHf0aYANAQ,5278
axlearn/common/inference_test.py,sha256=WmeKutxBOtWkS5EnSrnHZLyTAjCq0-tOD06D0mcIq_E,25879
axlearn/common/input_composite.py,sha256=vDEp-d3k0mp61H3pXjmwV_P24nPGNlrqXChY_zmVTdw,2741
axlearn/common/input_composite_test.py,sha256=p9kDB6EIemwFw4gCu-_Sp3FbIqs4Kdc5k6COniMFgsg,5978
axlearn/common/input_fake.py,sha256=MFddbtFDjUBQKPWk5cfTI-BXeNRs95d1-D0-E9A61D8,13765
axlearn/common/input_glue.py,sha256=rxLV3lu1kMf8FCJQOdkPyBpruRJRkemnTVAO3540UKw,29383
axlearn/common/input_glue_test.py,sha256=p_w3dgib6G44V9ws9nm--x55aKCUs3rIagryPVCr40o,29676
axlearn/common/input_lm.py,sha256=w3GR8TCqTfhe3uuqoSSorUzGkxyxtALkXEVUz0Hcta4,48147
axlearn/common/input_lm_test.py,sha256=V4MeKwZ1pTPjy-1MTZjWmUUGIAH5TUqyxh5ZAqML3hE,54781
axlearn/common/input_mlm.py,sha256=CKGnm4L62HWwuFgRQ3h4-aoRqMfvvXdp4FuE4tV0-bc,28628
axlearn/common/input_mlm_test.py,sha256=LWYWDFPgaHjJQPfN3_RhZPqCiga6KHHzUA8pgdPhKfc,36331
axlearn/common/input_reading_comprehension.py,sha256=4PwRHnm22So7wVM7MvgkcF94A-l2cHBHUhzCViZ1z5g,27471
axlearn/common/input_reading_comprehension_test.py,sha256=YVSujbzlUlZEHviYCoY4YpC8CEc4cdWYJcbDoPhcCtM,24743
axlearn/common/input_t5.py,sha256=t_yZ0odzIK1pGtmfr-JOXCXpI3Xu0D9oo6jbPPsrJ_c,25508
axlearn/common/input_t5_test.py,sha256=ffsUxihwYdRxuqnWyuIyTjztotcVWFQe6lW-PQXWfQI,29784
axlearn/common/input_text.py,sha256=CUFgkWztMv0VGr128XxLiozXG0uLJ55AROPuU39d96o,22616
axlearn/common/input_text_test.py,sha256=qhAx1Cr19oRtIZdchOsyq5Bx3M3LlouI6D_3c7FIlXU,26123
axlearn/common/input_tf_data.py,sha256=mzXh-s5roT_HnXG3A4KMq-VwaID4hQ-wL1A-vzQR0ao,42951
axlearn/common/input_tf_data_test.py,sha256=h5vgFlqXmQH66jvn1ctwgoWDTo9onWJclECWpr9-mIE,40488
axlearn/common/launch.py,sha256=wM1ERWhoW-HVEDKVluRJm4xOAkw7ar6KQ6pAMLCNAgU,5396
axlearn/common/launch_trainer.py,sha256=cFyB_Es8_zklWfsIZiAfIkvA5QlQimmxImXCYlR-Ics,2607
axlearn/common/launch_trainer_main.py,sha256=gB76l3RADilDhYWiHOWYHZC7m95ns2haTejW3yo3FI8,336
axlearn/common/layers.py,sha256=9MqeJTxLfvRvjLynFtUjbFsUHsc6qHG-2MndpJO9qBw,70172
axlearn/common/layers_test.py,sha256=YTbV_lToNghPebEZH7sW4u3WAh6pPBQzsIlIHp1xcSc,78379
axlearn/common/learner.py,sha256=1wZXlid55dv3tWSxOynxMSuw0qNdo1pGaci9Q_1WGVk,22605
axlearn/common/learner_test.py,sha256=waKaZjjj3YNsmByYs1aj8CoBf2hK4mZgBqQnVIq5sbo,31963
axlearn/common/liveness_monitor.py,sha256=fQ0245GUfvhQB2x1kS6S0zlRdjRI27-tn-FXRkYttbA,3986
axlearn/common/liveness_monitor_test.py,sha256=9fcU7oTxQ_Zol7r-sYNF6xOnqPTJKQOEARQwZcRMbiQ,2876
axlearn/common/logit_modifiers.py,sha256=-KhXR45XquSpo8VLTWe_JSXyXflnUvwZ0v8Z2GkMTRc,10871
axlearn/common/logit_modifiers_test.py,sha256=xHgtLeDrN-X0XD1zMK5mT6bfC0KdAPD5JPeFmrBaeqs,7358
axlearn/common/lora.py,sha256=9fx1mNuHBxXUnvaxV3cX4Eq0DvCCf-WAGp9Z8IBIx4c,18858
axlearn/common/lora_test.py,sha256=DzEsJPve33rSMPByI0N4jrOCepSTmrXRxFr6IeYwzNY,16707
axlearn/common/loss.py,sha256=VxMujdpSLSchVQLjkbu8cSeuaE-Lb07rkqtBDzdyZ3U,49359
axlearn/common/loss_test.py,sha256=SO-wv806fDf-yjbcjF7S_5WX-sKrG7InwTkbGyc500o,43941
axlearn/common/metrics.py,sha256=YQ_Zs3Mt_M85dxtH189lT_HwgqC-hwdpRcUZtji3hc4,1902
axlearn/common/metrics_classification.py,sha256=vENuS5OzZp--OKl1FpZDiMPKTFDTptKzjvIVNj1EXZI,13753
axlearn/common/metrics_classification_test.py,sha256=k2FBYrM54hry09qSJs__sfbI5XicVGlfrhiaPcC-bmc,27558
axlearn/common/metrics_correlation.py,sha256=SvI8Z_GYdFTL49DQ-c0mta_gN6yr6ku8R0vcLkw1Hq4,6935
axlearn/common/metrics_correlation_test.py,sha256=nPv-ANJhjGQF1NGZyo8OHGBPcgbwQs1hVc6cixK_bbo,5733
axlearn/common/metrics_glue.py,sha256=bJdSBVKtgbtdot1snLjK4cbU39VOxw0OM5EuJLV9uCA,6279
axlearn/common/metrics_glue_test.py,sha256=CQtavRcz5giUgw2FpiPgTQgtgahLh4BvJmneAgde0ek,9665
axlearn/common/metrics_retrieval.py,sha256=A8xIBejyoAd-t_IzpUyfcEJ6r0Mmxpeim_I6Z4S8jkw,20306
axlearn/common/metrics_retrieval_test.py,sha256=G3ZLGeMGl-FD2o0lhDcUg08M0asaZzXyMvpsxiuOijw,10467
axlearn/common/metrics_text_dual_encoder.py,sha256=ngfrSYoZu6WFVaqx34b8N5t8aFPFixABi9EYa0Hh1kM,6616
axlearn/common/metrics_text_dual_encoder_test.py,sha256=V9JGZcSPDZar6Usumi2DPye7pCHR4kzF5FaB1KPANDA,7919
axlearn/common/module.py,sha256=2qf1GGn3rbkcppaV_lF2bswk0jutHsm603lmD6Txf-4,27050
axlearn/common/module_test.py,sha256=NE-WFOBp8ZaETuSnSTUCk0BWvwqaQNXR9CHq2nvCHFM,22204
axlearn/common/multi_stream_model.py,sha256=uhIPr4XkuKrp-Ztbg1Oc-E2TyNzLZjxME5DFqsmvNY0,8507
axlearn/common/multi_stream_model_test.py,sha256=7GuWZ7zxLMdZaZBm8TybS0XGPKEQNAQXw-QqL5bc9AM,8808
axlearn/common/multiway_transformer.py,sha256=3zzbZcGMC4s7MWTPst9hgQN0wlKZASvCC8D45nvIgqM,20943
axlearn/common/multiway_transformer_test.py,sha256=EckpEKB-DG84puxnkZEmfes69CEptFW1WJdFitwz2fw,19199
axlearn/common/neural_retrieval.py,sha256=c6Jl3gLSkLvCy6Pzd8xfcBqYQQwI0CyzyFbKwu6-kU4,5691
axlearn/common/neural_retrieval_test.py,sha256=ctmGxlLjQ1qBdQ1tKhff1DDEyreV4J_DZndH6f7ESa0,5067
axlearn/common/normalize.py,sha256=G0qS7UOYiWdgMAFSmEOCLdBJoP3xoIxAbJoXJNQwQv8,569
axlearn/common/normalize_test.py,sha256=tNiPhtZ7QMKxTm18lRxqBZrlwzI3lbpYKxOTiAK3vuk,483
axlearn/common/optimizer_base.py,sha256=WDdF6c6x-_gvGoeUHpXPAfqm0cJMOXRV2pTmZkzYa-M,2490
axlearn/common/optimizers.py,sha256=Ckx6KH_UQSxoNcFP84nwMaZWNPrMnb0oDWa7HY9ZMns,46206
axlearn/common/optimizers_test.py,sha256=g9G0A2NFExn6E-_NzeixY2uCPqAjhFAzvE0W_3oazhQ,37686
axlearn/common/param_converter.py,sha256=WhJBUT550D-GKscnsbKlK31AbJe9Yc2mP_VuewJdQd4,90670
axlearn/common/param_converter_test.py,sha256=QUAJ3LBCvlHWlmZXrfx2yqYvhx6S-eteKW5SnwT1w7Y,55518
axlearn/common/param_init.py,sha256=3xJxh6Oo0l9Y9utN_4QP-O19_M6s5vBVqq8i6RwR4Qw,13052
axlearn/common/param_init_test.py,sha256=bW8lx2sIFsgkgt3Dt1o-RpLAVsA7jgSS0KYiyL59rEg,10676
axlearn/common/pipeline.py,sha256=4ovJwlR-spjUJGbZvIuotGOfkQAbnkdeYEvTcAbTFQQ,17633
axlearn/common/pipeline_test.py,sha256=RrJ5sPwkveSFcgdHzg0DBnHfcdgS8GS7BNr3TRCmwkE,9642
axlearn/common/poolings.py,sha256=ZvYzZF3jFa1b435XexSXZmUJaVygQ9GxdP8fEuhcLjU,16765
axlearn/common/poolings_test.py,sha256=1FhL9zqIXtlpx0rIOkq3CMmJ5vG58NJWiV15kVbqYG8,19094
axlearn/common/quantizer.py,sha256=RGhf2SaYC62rOFG6Ztp8TnVueAAdq68g-3CNtg5DDWk,26060
axlearn/common/quantizer_test.py,sha256=DbU6MEZEAl0iB8-P3GZ6AuhIV92zTiYd3kwX9_VHGhQ,35090
axlearn/common/repeat.py,sha256=PoNyptVEwuP9WNcLbKYiipb3rA8ryR3RvPCoQMoEgbs,6658
axlearn/common/repeat_test.py,sha256=_4Y4WvEGuN4auqQDfTv25pVfk0Uqwy3KK9dSb_PNf9o,13648
axlearn/common/rnn.py,sha256=AhOfQXYnfIC2F8kn-soHYEaLtPTL-I5QuhF2o2fuX-s,18068
axlearn/common/rnn_test.py,sha256=NtcDYpP7WA4wTqFuEL3pHO6T5rv_k_L9TopEyNpADUU,16290
axlearn/common/schedule.py,sha256=aPBk4TCbCTjYXX-TbNPH1YiWRLSZQmu9imb2Dy8tNRg,11059
axlearn/common/schedule_test.py,sha256=CAA2oakzTMrE8CpCRi4gPJsV4-vlkIt5DBIMha7RFas,8010
axlearn/common/state_builder.py,sha256=YaN0vwgpSzO9HafSZH7IOzfwh4OJ8myH2VYvWdVkHaU,45906
axlearn/common/state_builder_test.py,sha256=XGcjBg_uUvT0sz01BJhVa6-ZMxd_73VWdUyCtNc8R_k,45518
axlearn/common/summary_writer.py,sha256=yA9S2c7W9b3SDHyc4ga1qrvbx5omYEMnXafn6PLVfe4,11775
axlearn/common/summary_writer_test.py,sha256=tS1m598tPTZuax34K7g3LWeB_ttTCqUQyyK24n9BkdU,3764
axlearn/common/t5.py,sha256=UjqXyvABDMv1YI4i1DVkBiPBu7K2pJZowuvcxo_tKLw,17322
axlearn/common/t5_test.py,sha256=ntvBJS2FdTfQPx0Vp9oCew-K9ClDiuSYC-kiuRNnDGw,16417
axlearn/common/test_utils.py,sha256=SPfpKYNNUllRAxi0OXL4FPgwaCy58AhaXh7sJfzLNEU,30683
axlearn/common/text_dual_encoder.py,sha256=HQpsVWhH4rsj2XFkzBuGBOXBUARUixFL-Gaj3WKxwVk,19005
axlearn/common/text_dual_encoder_test.py,sha256=gs_fPYxUDMMLF-HHz6rnEtiDmFgy6O_4-wkjM9-Ku3w,17290
axlearn/common/text_encoder.py,sha256=Q1psCoqqv27ggNc4xJQhXThLZ2Kyu3DGUgqp0I8tK90,2779
axlearn/common/torch_utils.py,sha256=-hLGfXnpjIu7_Td-pH0nAxP7bFvuDXM5JQHE9G41Gj4,4477
axlearn/common/trainer.py,sha256=NjSBrST_gvo2Y58qMk1WzPT0lZKSSmjrZCD8zJ7kE2A,35237
axlearn/common/trainer_test.py,sha256=tBWEj6fYSPXlvCTwvFz-xt1w3pk-8Ex-Kzp7gV9pC4U,31597
axlearn/common/transducer.py,sha256=Hm2MNUbhf6Y-mz_rdQixubmKu3njd3nf3-b7MtU4Y2o,26521
axlearn/common/transducer_test.py,sha256=y33LYQD1-eEPXgxRix8ghzSTiRqr5DMCyGtZgOSrIkc,26566
axlearn/common/utils.py,sha256=L3f183I_PozqxOJXwmQ2T8FizoVfAQ4TS_KfghtKYI8,30372
axlearn/common/utils_spmd.py,sha256=2lxqRmPuey-xVqbc5fiNplhqMgZvj5-CBsOjIFR0rNw,4536
axlearn/common/utils_test.py,sha256=-gToXBXiEND1IAOms4F3wo60aTpEb_jZrHwdoplqHlw,35835
axlearn/common/utils_text_dual_encoder.py,sha256=7At62KLx_ukArKFsKbKZBzwzE8elyf-JreaMly8TXX0,7376
axlearn/common/utils_tf.py,sha256=tZWYwmosFXP-06kWIEkj2SsXm4ruAcEvZulL7HK-JIo,790
axlearn/common/utils_tf_test.py,sha256=iAZ1Vrx9QP3gnGLH0xGr25Y0Cn4kbMQpEoCNpqo4GIE,959
axlearn/common/vision_transformer.py,sha256=XVMo8N98WhkmJghtQkJzkKcSClRsjjY50j0e4sIPFe8,23377
axlearn/common/vision_transformer_test.py,sha256=dOLuDY2YE7hgqI5Xc_-YB7yxShMhR1KF-pGc5ibtLLo,12962
axlearn/common/vocabulary_bpe.py,sha256=YvY9Ui_KMZt5W3R5EAAgEB-6xMhVHNzPCEf-w2d3tAs,17194
axlearn/common/vocabulary_bpe_test.py,sha256=HGepyi0P2xsvSq-StU60CytZMa1ZIjptXqMt_2g5ICc,11576
axlearn/common/flash_attention/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
axlearn/common/flash_attention/attention.py,sha256=q3vgd7ynL4AszvjFi9HeihGgInuJkeWF9bEh6mt471Y,22475
axlearn/common/flash_attention/attention_benchmark.py,sha256=7dQxZiFTc_0ix8k_m9guxAjgkDXGu75UBu4ZroBDTKs,8894
axlearn/common/flash_attention/attention_test.py,sha256=JX4fmUUJMU9pp6AB628QuTZuwBqRZI5CfSD6Sz1LwkA,5027
axlearn/common/flash_attention/layer.py,sha256=y6__0DvpRl8fNfOeZnM9KqQahlBGWrqt8xifYlfJvQE,4491
axlearn/common/flash_attention/layer_test.py,sha256=Q4G1DMdjrImkthuQASlNCcsGrbttEEnzLasrveaq6ug,8288
axlearn/experiments/.DS_Store,sha256=rwnDqitOliTvCr3lO75NyHVkKiRrerNnTmUapFz5BQM,6148
axlearn/experiments/__init__.py,sha256=0s0k6hNBOH2XvKDYfQMH8HcRRRmVbvu1-JGXNlWAbHQ,1853
axlearn/experiments/conftest.py,sha256=JnvL_gkYAQB3Bhz7r38ZgZOsnFgsid7_QH7mX3SFBJI,380
axlearn/experiments/golden_ckpt_test.py,sha256=jqYgDw3IohP2WLHd3VUV3O7QlWBuuREkUzeQ6EXhyFs,3850
axlearn/experiments/golden_config_test.py,sha256=qPiE7UKgWq9ZDoEVQTLAUfLtNsgbgaX4F7SnPi4NPTs,10187
axlearn/experiments/trainer_config_utils.py,sha256=oXQ1_cMsnQLG1dpJlANCa5peYc-JxF_Z_zUXEFBDF_I,936
axlearn/experiments/trainer_config_utils_test.py,sha256=qws5EVzoEt4BlpxSeLvBTARmevcLoQPlYCDWXGvNEVg,1452
axlearn/experiments/testdata/tokenizers/.DS_Store,sha256=-2dFzWCzl3CpmdNWQcOJpKfn-C_-DMqrrjPCsgRo4AQ,8196
axlearn/experiments/testdata/tokenizers/bpe/.DS_Store,sha256=lFMG5XGOxj0Kip32H_aClZKS2typ3pMGDwjxDH-TypY,6148
axlearn/huggingface/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
axlearn/huggingface/hf_extractive_qa.py,sha256=51UCzWnoIKJ0Is4AyBabDyhrAWJhBme4DSH94MAZFqo,8166
axlearn/huggingface/hf_extractive_qa_test.py,sha256=NKh_8_ZW2QAuf1QenHVpG0TS00mmuAn2K6kqFa0KkFg,10906
axlearn/huggingface/hf_module.py,sha256=l7zDLKOP68h1cMjQ7GvFT2ZxQFcbcCrOKP9uZtPMan8,11360
axlearn/huggingface/hf_sequence_classification.py,sha256=D3reUmSYsfR_bL92ACY3Je_svXp1hoW8H8rW84zBrpo,6840
axlearn/huggingface/hf_sequence_classification_test.py,sha256=LV1WrUfKIovCTZbRqBsD6egakTitPO_uZu1FLdKXVmA,7870
axlearn/huggingface/hf_text_encoder.py,sha256=u5YMad6StdwLOUe4OzJr9Jfh9BugfaqB6GS7hMZFzgI,6103
axlearn/vision/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
axlearn/vision/anchor.py,sha256=K97yOgJa1hziFtEpIlPALAVCPh1iSyJR4yxlEfQAifk,12292
axlearn/vision/anchor_test.py,sha256=m1i3IXGOuZu6y_PuyocfswdmsTYvVRP0ctUXGY8aDI8,4813
axlearn/vision/attention.py,sha256=kwobVLCBZ9axcGjCAb5_xpXb-wWu14jFQ0VGfk_CLiY,15526
axlearn/vision/attention_test.py,sha256=uyd78SY4TKrlQWWKdRv0f7xePDlgcPoh1MfMCvNmNHM,6583
axlearn/vision/augment.py,sha256=pCHNPmNqXGWEPpt45hyr_QxImfqYNpFvGf9wTeRqeso,39064
axlearn/vision/augment_test.py,sha256=sAI8oxe8O1Xy1gORX3Rt_SRQwaAyGLdn6qzPocnlOVo,11358
axlearn/vision/beit_image_tokenizer.py,sha256=4zfHMfJRGfhndIQOW1Ck3QVOCMgEFQ8OdmkvP4WhyH4,11305
axlearn/vision/beit_image_tokenizer_test.py,sha256=JJ64Q6h3hzqqR5Ih7mqdrGSTBg9qteRpFnmj40Unpy4,3102
axlearn/vision/box_coder.py,sha256=PB0Y3s2-7cR2_3CCbNmfVMI-o6rIi37Qx1vbDo3NnR4,6061
axlearn/vision/box_coder_test.py,sha256=3ndO4v4QLqUfRq_Y_R-SbCxSIMfB1bW9fzoRryE4ZpI,3875
axlearn/vision/clip.py,sha256=1-Hyx13SuN_6SWImFA3i9gn_OENHoVCmMQehmpA6aOQ,24625
axlearn/vision/clip_test.py,sha256=Z3FrdY6wuYuw-JlyEe8HE36MgbSof3n23Z4cFzpR0jw,13550
axlearn/vision/coca.py,sha256=cSHQkWlPKvg3yy2VRC6aSiyQgQKtqbriJeXO_roi5MU,43696
axlearn/vision/coca_test.py,sha256=vl6rMf4oJdMZhL1GX1eqLnqWJKyzI8N7fTllVL2G2sI,23481
axlearn/vision/coco_evaluator.py,sha256=fPxWGFoDWCA3oYpStelPgfxc5z8w78NufNRdUjDiaHU,14424
axlearn/vision/coco_utils.py,sha256=j5r6w2sng2luv6vGWKP2HxlJPif78-IyxtbA1hbut70,16971
axlearn/vision/coco_utils_test.py,sha256=2uErXyuv53VEPPhvyAt96F6pms2Z0AVIvWFBKMhDe2I,6680
axlearn/vision/cyclip.py,sha256=3mtO2cWU1Gqn6YJ4cOHH99cco8w4upjM20RjN_Ufjm8,5481
axlearn/vision/cyclip_test.py,sha256=o-NM-7zBhga1-l-6F1qTMLrs7HtNdJXX6ipce9lsDfE,3179
axlearn/vision/detection_generator.py,sha256=aMyFVtryNOYx6VjTLH4yJ6Wp1laQbKGEIN0BRZ7rrbs,18276
axlearn/vision/detection_generator_test.py,sha256=GGgad-muqDDZijda1aY500_9KcABMhWdU3Y2scZiyRk,12694
axlearn/vision/detection_heads.py,sha256=pn5ojIwJzz5CX8KVc0Ztd4LQoF5LhWu8DzLgrOzSqM0,12666
axlearn/vision/detection_heads_test.py,sha256=ei67ga-dkN3BjTBr4BjqXRbzcgNKY8KChaT4T_wXhRI,5776
axlearn/vision/efficientdet.py,sha256=fhMTxqODgcserNF7jmZUcVfmDq2uCWVd6Lnpe-nARt0,15155
axlearn/vision/efficientdet_test.py,sha256=n3j37f8G7GJFTYQLpKkJVzEgSkYfuRjWDum04jWGwW0,11031
axlearn/vision/eval_detection.py,sha256=T7irGCfeTxhuZ6fRo3wwm89itCOwc5qpBhjI-bNOM8c,5473
axlearn/vision/eval_detection_test.py,sha256=AMjmo0IcESOzIbFHlnxyxfI1_H5GHEOvJbF43sUnsUg,5112
axlearn/vision/feature_tokenizer.py,sha256=GJVBxkX530Oq0QpA86kIa9MlaAKyI_5aEIpwVwBYCW8,2667
axlearn/vision/feature_tokenizer_test.py,sha256=nUG_987EeFqUce6j8L56gxbhoknBx3E8o_Y2cI_ppcE,1528
axlearn/vision/fpn.py,sha256=-Q9gkt_-yGzG3t3UkdyUhVvedIGVnvc5Tm7Ey13xDyI,42277
axlearn/vision/fpn_test.py,sha256=bPfwQY9-_1MX9lbmPABkpP0vL9QQ26stC_LQfpA6O4Y,14170
axlearn/vision/image_classification.py,sha256=BtcoGJNuxjZiIjS7s2qlxbvsm8OmUzUCijyh3EU4hKk,2730
axlearn/vision/image_classification_test.py,sha256=XFM2FbUzsduD-ASV05Fat6hWe1t35z1Er0ved8VZjfk,8830
axlearn/vision/input_detection.py,sha256=gttYdnbrXv1FP6JJBRwTwFwSOSB5DzITSVM0vTVi5Pw,20306
axlearn/vision/input_detection_test.py,sha256=E7qvccEdQN2JX7ocQTefJxsEkx2aMj66X7GbiZkwsBo,4743
axlearn/vision/input_image.py,sha256=bOdjcZaEv0OsHIVb-sD5b4QZhpSY52gY_WIiJIr4B4c,16124
axlearn/vision/input_image_test.py,sha256=inoYnQFqi-5yvN0_6LA6EZTqjZu0WPlDSXF-oK3eEKE,8387
axlearn/vision/mask_generator.py,sha256=heBSxpQ4Gmn_7jZ2qGVne373MUKvpIN5b2_oDS762oI,6843
axlearn/vision/mask_generator_test.py,sha256=FCm65x6IXDM1MJi_Vc6Ofqwf7UyN0AgKMBin8pauit0,1206
axlearn/vision/masked_image_model.py,sha256=og-Jemr23pPSLT9w22i8Lo4i0C_iO5R1i_zr17_WQIQ,6068
axlearn/vision/masked_image_model_test.py,sha256=SkDXR--aMyi7UyIeaG0PLk_03mi2TW-1AKsv7nXWcSU,8126
axlearn/vision/matchers.py,sha256=Z5qoVFJgxbO4Vcb08UElEPD8yFxSo7SpqKlH_g-Ic7c,17939
axlearn/vision/matchers_test.py,sha256=n1cY1GUWhLj1OhFyXQkZ8pQaAlDht2YWuMTEYF0Gglw,6828
axlearn/vision/metrics_vqa.py,sha256=Nqkg-BrrC-iiRgoJWye_2uSoGJXxHrOPhjRl0psM8H8,12714
axlearn/vision/metrics_vqa_test.py,sha256=gT-qB6QEoCX072pZdzDKkdpIpXZvDIVEoyGzbLSZQ0E,10815
axlearn/vision/mobilenets.py,sha256=QjWK2EUvkg0aGmldL_QA59tYYuV6UDcT3OevrRhgXe4,36441
axlearn/vision/mobilenets_blocks.py,sha256=KE9vBAbEXXtMN0Wrqr32sgPZ9t5xdNX338iK7Vz2eqU,14952
axlearn/vision/mobilenets_blocks_test.py,sha256=LZfQDORrzKEysz59_GDb1hpBnhSHdd3xfos7kZ9o4D0,6669
axlearn/vision/mobilenets_test.py,sha256=MInjY1Qi05n1ttvOpqVBBhcMLgLC3qVrV8i0_0njh0o,12293
axlearn/vision/nms.py,sha256=u76Qg3YjEKGAS2NtDAYruwBAAcxnbTvrB5cvm2IRNMM,9014
axlearn/vision/nms_test.py,sha256=MXUsjyUTp3LriGHZxrsTb9i00IEpNu8rUG_lSTuqu9s,1261
axlearn/vision/param_converter.py,sha256=Z3txyd6lHzXBEkXYkLhtS51I2AptQfJxzcljFJ_5Wj8,21597
axlearn/vision/param_converter_test.py,sha256=4plgscb1Tsi3kokU6DbSgGMFhqSnda6VNIKQRJp_DsQ,10493
axlearn/vision/rcnn.py,sha256=n-VqLJXHPjJGRvVIWn9CGup962bsg-6ORK7wxvqfJa8,14594
axlearn/vision/rcnn_losses.py,sha256=Hdv3SjnhG8eeB4H2khoUvNZHXyaW_MOkO3NOgR_vckU,7381
axlearn/vision/rcnn_losses_test.py,sha256=509C3uVkm80J-Y6OdQBmHiirZKMkder4e8VCHFoCR8Q,12527
axlearn/vision/rcnn_sampler.py,sha256=KPE9fhZVj-W4OXdmRM6Tyd3QSVyo_93lp-mowfdndgk,7472
axlearn/vision/rcnn_sampler_test.py,sha256=VpqHQgV4F4sF2OlZEAPCpZI3KRItwFHeMu9qDJvEaj4,10726
axlearn/vision/rcnn_test.py,sha256=_TwsR3s6oDMQl_GAxBp7w0W2dCXLHfKTu7RRbdPMRFc,4588
axlearn/vision/resnet.py,sha256=Cb6SZS5Y11x0Bp2k1_aSK6D160PeB_2I2ngp0UJWeiM,21276
axlearn/vision/resnet_test.py,sha256=WqHjFaKTX6h633_Q1xA8mbFALUKtj4SKgKiUWwfsN2Y,4049
axlearn/vision/retinanet.py,sha256=qKUsVMCsWdFVJ8SUBqxN8K17caN4-TRwE0TMOPSqT8g,22730
axlearn/vision/retinanet_test.py,sha256=JyCXdmq3abobFRYw4viwZYEDKbjoE5lxMR0hu9lAHGE,8716
axlearn/vision/roi_aligner.py,sha256=NcpLkGvGymgVlAo4EptnKJTlH56f2TCgy0esf2-n47Q,3339
axlearn/vision/roi_aligner_test.py,sha256=9b21uEC3wKwItgvI4pyeDI7GCXu2quhvK_zk7C92L7o,2378
axlearn/vision/roi_generator.py,sha256=ojR_5tHdj-5n-ZRJkkjdIO9eIew9aIm7G0Ad5J65Z-g,5501
axlearn/vision/roi_generator_test.py,sha256=VEMFaU2hcUB0__wDpsjdxE0H8yesw2Sby85m9BPuDxQ,5758
axlearn/vision/rpn_sampler.py,sha256=s2u5v-NAGAhuqJPSEd7bqjmWexdSnWeQzg9zTm1AzjA,7574
axlearn/vision/rpn_sampler_test.py,sha256=LmEaLh0OjOQxzdVN8X1GcSYQ-mfNAiWqfvmyyDWcswQ,3903
axlearn/vision/samplers.py,sha256=44_SviGhSnGN8BfwH1tumHxY-TXn1_5EyszDSYUwZaQ,4352
axlearn/vision/samplers_test.py,sha256=kd_2Y9oAOpMa7ZsSgww3sBtqbp4O0ERuGSc_pbmUnG8,9171
axlearn/vision/similarity_ops.py,sha256=xOqY6FIuGPRufOgTjtqFIdLd9l50xpsl6iLzT14gHuU,7132
axlearn/vision/similarity_ops_test.py,sha256=FOYjpqfFD5gA-Dkl4ncBEb5QGlE2zGY4IQyS1DMCgJ4,5158
axlearn/vision/spatial_transform_ops.py,sha256=GecZN8ZNV82HM7J1b3bg8XuW-8cupaYWumldMelNV8o,21753
axlearn/vision/spatial_transform_ops_test.py,sha256=3lQ2BSnXq3cd85NWBlHIamh62RwyGUbkZO6CBAAurR0,16798
axlearn/vision/utils_detection.py,sha256=vtDplzOLUZSSKH6I8lNAQPxmYs28DnITjo-5YYMylr4,43862
axlearn/vision/utils_detection_test.py,sha256=IsQWk4fbqz3-2z3yZG7zuEjoEjvu3jV0mfZwZAQIGNM,15048
axlearn/vision/utils_visualization.py,sha256=RLJ-OYYrOtB-OwVhivtu4028ukmqc27ENvaUWlZd32g,4271
axlearn/vision/virtex.py,sha256=M6GpTgb_fothJnvJP_jrvelH2F-jrANDGRcBb8_TX-Q,14193
axlearn/vision/virtex_test.py,sha256=OmIIYzGUxQAHI8eJMbju11jVhJkpWoiReTdkcD7M1sg,4462
axlearn/vision/vitdet_transformer.py,sha256=he89xC0tjT47CKAXxU3vGxLlMxnwlSl9DKliH7ouLj4,9374
axlearn/vision/vitdet_transformer_test.py,sha256=r-My9N9tcaD0HFLzLTLosjpnC8eFvdAFMFfhjkGli_Y,6035
axlearn/vision/window_attention.py,sha256=7PLVkEwfRQ8SYHYEPUGQ03kwcVjG7foqQNGnIUKr-UM,6362
axlearn/vision/window_attention_test.py,sha256=CI_r8-mXNQfbEG2uNUpgs_L9kisTspgS_XDlqpCXkpY,9602
axlearn/vision/imagenet_adversarial_text/README.md,sha256=8X0ZEPWNjiB1rmmCLjEpkYC1TnEdjfGFGYv8bMioKTw,1206
axlearn/vision/imagenet_adversarial_text/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
axlearn/vision/imagenet_adversarial_text/add_attack_tfrecord.py,sha256=DpQd7Aw_lsezn9IiE-5kU1u7XgtRAYRrYjBRNeaXA0A,4804
axlearn/vision/imagenet_adversarial_text/imagenet-simple.json,sha256=N0cA5yLRZgtIUJVuFvop3tPxHaLRBUMc2EeNN1Yk4lQ,25707
axlearn/vision/imagenet_adversarial_text/openai_clip_pred_1tfrecord_target2esti.pickle,sha256=bVz39iH9XbX3SMia6_xiHhpdSOJNeawuWAySyvdhFIs,4034875
axlearn/vision/imagenet_adversarial_text/util_im_process.py,sha256=YuJTxwdkyL-prDBxmaCw0pYqu5Im_61vk0G4KLeWS7U,1343
axlearn/vision/imagenet_adversarial_text/util_imagenet.py,sha256=ZD3bFV2cVHwurYznrZbrvyDSwBFU5GM9auBZpzDAI8w,1021
axlearn/vision/imagenet_adversarial_text/util_tfdata.py,sha256=j1Td5TaJ11VccxgnpmVYYghhM8JQLlLsx3IU_YdDZds,964
axlearn/vision/imagenet_adversarial_text/zeroshot_eval_with_opensource_clip.ipynb,sha256=gsuLKlJlOVB3gxGSOENIPgwBC8i6ohf56ufyS6eaL_w,218377
axlearn-0.0.1.dist-info/entry_points.txt,sha256=JOdFF5nvQb8wzeSXGkAkWPGkX8lTODhGn2r77Yrf-ME,44
axlearn-0.0.1.dist-info/LICENSE,sha256=mI7nZCcBfZEGdf1ysA4oSqUdv_o2n0tyEkdEWv78ryc,11311
axlearn-0.0.1.dist-info/WHEEL,sha256=EZbGkh7Ie4PoZfRQ8I0ZuP9VklN_TvcZ6DSE5Uar4z4,81
axlearn-0.0.1.dist-info/METADATA,sha256=07VN4HIREXjkmUzw-wIzD-hcOoxjaocn0NmlRIwz1Gs,4671
axlearn-0.0.1.dist-info/RECORD,,
