danling/__init__.py,sha256=s3QY_8dIMgEDvBnjw19tExXGsQ12I2STIduEqXPtWRE,1040
danling/_version.py,sha256=HzPz9rq3s1AiZXregKlqKaJJ2wGMtvH_a3V9la9CnpM,411
danling/registry.py,sha256=Z8KNZzpXln8gcf702eUvlB6vmK4dwn_lXoI_nq4FGMU,58
danling/typing.py,sha256=JyVUMuuMSD_kXpq_912XWtpm6Ftu91sVbUJC7B5A9TI,185
danling/metrics/__init__.py,sha256=xaZccsLcqPy6U-4-SzP_g9ARioSM2AOkOl5qpiMrYhE,1075
danling/metrics/average_meters.py,sha256=JeRlh6S8mahhJ4fcrGrhrylnqA_YWA83Mq17g49tU7A,4865
danling/metrics/functional.py,sha256=w0-A26kzsZRdNlr4cjOL823FJnepi7YYkEMrhVpzUVE,4785
danling/metrics/metrics.py,sha256=tKoIGQ8CabwmmYl5fokbFWHONbUrNrpoAGGMGlo1JRM,9731
danling/modules/__init__.py,sha256=Yg4t0E7nmlWXlhCEINLX1UtcVUXmFl2-7w3tZWkpAq8,526
danling/modules/mlp/__init__.py,sha256=Yy-MC_8HvLhN1HMdjQkZceu8vmHY0itW7AbbRcrMphU,74
danling/modules/mlp/dense.py,sha256=C2F6e-3HdG-AvfEzUTO-9wJiZXo3Okt8entcKLwCH4M,915
danling/modules/mlp/mlp.py,sha256=ntJI2UE-em_ozwzBJ_aSt57aUzVhBMls2soD-kCC3Po,1002
danling/modules/transformer/__init__.py,sha256=LqSxtmuJpxaYe0u86c--ws_4myjsZURwEg52vN-WowY,513
danling/modules/transformer/decoder.py,sha256=ZwuV4YdM0pLCysUHrhnrQyUdv15kKSjLdda1NVRoWmg,5379
danling/modules/transformer/encoder.py,sha256=O7CvHgKf9yrJXlL35we8lO7ngyPbHuH8Qdaty5AuLL0,4132
danling/modules/transformer/attention/__init__.py,sha256=NcpL0PVsdj0zfSj-VN_-5TPhIuxHNHHxQJhGzDB8ABs,151
danling/modules/transformer/attention/multihead_attention.py,sha256=XgRTU7526-8EDunI8t2VYtZB4625EPLDZeUekf_MiJw,11452
danling/modules/transformer/attention/simple_attention.py,sha256=F98u5hPOpZoaeQPyYtD67-dzBOhU99LiTKvZPcivZIM,8145
danling/modules/transformer/ffn/__init__.py,sha256=ctrpTAATAVK7N5tmu0mecCsA4H4dTAXpkBYowW7WBCc,76
danling/modules/transformer/ffn/fcn.py,sha256=Xi-7dxTUyLVA2ccGAeqtiyVZSrz_VYw1N0OuCsOVXEc,666
danling/modules/transformer/pos_embed/__init__.py,sha256=91_04TNjjUxxou-XslP_rYUYCwt-Dd52Jh62zgqul0o,86
danling/modules/transformer/pos_embed/pos_embed.py,sha256=DPXN0p06iw8bmrGh-PxOlwogRzn3z9y8xnfFmxBbRBo,8116
danling/optim/__init__.py,sha256=kKld_vZIoQYPigexxWwaYTwyF99CNShK0hHEDlPcqcA,65
danling/optim/lr_scheduler/__init__.py,sha256=kKld_vZIoQYPigexxWwaYTwyF99CNShK0hHEDlPcqcA,65
danling/optim/lr_scheduler/lr_scheduler.py,sha256=qfIuzAm9t2rvWjBxV2269Eewn2RmiAyJ31KNIFSPP2c,7449
danling/runner/README.md,sha256=QXv8dyi41sYQqgw_FhrkFxE4Z6XhtEGTxrKPVI1ZGuo,3786
danling/runner/__init__.py,sha256=dcerCIo2Ni5uqimw4avFHlJwcmB68gZPdG0wwCgqt5g,332
danling/runner/base_runner.py,sha256=PI8CwcaDDWzodity-4qxGB2hBNh-jTXKoKuEtnprVls,41315
danling/runner/defaults.py,sha256=hrb6yUYCwHsxD3yRTKaMJ2w6xXtgTcAIhfAWBDJ54iU,224
danling/runner/runner_state.py,sha256=hPDPbJBxfpPS1ka7M03YHYOAR_dEZiiLP66uVTDYimo,9037
danling/runner/torch_runner.py,sha256=grFINpDCXl_1Iw2JD3ggMaehhgSisAoYBGSGTAmLhZs,19340
danling/runner/utils.py,sha256=iOxG8GIpghfMofzvd5ODeWIsZb_0OqJus5WOfDVpBzY,1364
danling/tensors/__init__.py,sha256=vKvzRE0BPvi88qKroiuhb6LBMbVlYoWtHIAe_AR_dq8,148
danling/tensors/nested_tensor.py,sha256=KDhaVeNvOtVhCnxoIQdUB-EYPgF_RPYrd3Pw1Y8IAj0,26207
danling/tensors/utils.py,sha256=nI7P-we9EjICOhYxUoQs2tWTOCKj37LHjoQ6aL3r6gU,1348
danling/utils/__init__.py,sha256=askkgcliPDQmYBqHpYwOm9xLWr0fj-tigCWQ2W8OG5c,526
danling/utils/basex.py,sha256=zsSbNzCaXq0vgEgs7wtDQNT0nVt5t8kijHgFCW09pgE,1207
danling/utils/contextmanagers.py,sha256=8krj2MYnW1Cxh8YQqU89LzSpszw0oduWgEdREGBygKk,1231
danling/utils/decorators.py,sha256=T-obu9whJSL_dUAwwGZz2SWJkSrybfO0a02rPDyKQ3k,5229
danling/utils/defaults.py,sha256=4HqdIDoQoNZSYqQ8o0XJg7UjAsEjtKTFTCEb2-eirAo,50
danling/utils/io.py,sha256=igsSaOuMNm8iRy39StiypDA_zJ000uZRvaTftLbSBEg,4050
danling-0.3.1.dist-info/LICENSE,sha256=pWVnz1O7xhO_Vuubtix-S2WMvzjacNLmwznJFdysg70,88
danling-0.3.1.dist-info/METADATA,sha256=qMCmA1XpVdkCVifobeOVLkMz6WTUXr61NUYG66FeyvI,3454
danling-0.3.1.dist-info/WHEEL,sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A,92
danling-0.3.1.dist-info/top_level.txt,sha256=gUXW74z11Vdiv4JQ6KszexfVoR9t4mGhwTo3ArHQm3I,8
danling-0.3.1.dist-info/RECORD,,
