perceiver/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perceiver/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perceiver/data/image/__init__.py,sha256=QgsQVCfDyQ1XWPSJyib8Pko9MbIXsYDuwe4quB9mDc8,74
perceiver/data/image/common.py,sha256=9BMoNOsAW_AQIJyJwn6WIA3K9IcghWRIhMvKaj9AKH8,471
perceiver/data/image/mnist.py,sha256=962d95lp0y0CTh53EpuMFzY3U4sdz9DX2nz-DhaRW-A,3047
perceiver/data/text/__init__.py,sha256=xyjoe_9TroaMNf6lq4YdmGJXc5WOmRuynyWW2IIhkaw,354
perceiver/data/text/bookcorpus.py,sha256=BkdgFpBXf-fNVMi0kJql5rsYnU3Op3L9g8S3nSsrJ-I,1964
perceiver/data/text/collator.py,sha256=4T0KrpEz-OOwnEQQyyxevqpeWHFUxmpE2lAd2fY8VkQ,4448
perceiver/data/text/common.py,sha256=_BFK8ti0ZscZ9v9UKfgwtdYgYsx3cq9gmcvH3kOk5Ow,4818
perceiver/data/text/imdb.py,sha256=lOUjvu6Sx1U3KoS1Oy7Fy2fFkyB4-iUWwZyLVhbBFkc,2646
perceiver/data/text/tokenizer.py,sha256=IGTepWK-ir7J2vfh6XZuQCnG2hIj-sCnIl4-BjBiwUw,2447
perceiver/data/text/wikibook.py,sha256=4Zp9j4PySbEFix-WjImORhqrP1r9hyhJaWaen2Y79fg,1419
perceiver/data/text/wikipedia.py,sha256=HhqfvZM1utUxCZJmhGYtAUeDIVxDH6sQqVN_yBcQIEQ,1985
perceiver/data/text/wikitext.py,sha256=yzVrxKKC9PWoKwPw3Ws2VQ8fS8Ojfar7VdT2Qk-qLHY,1748
perceiver/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perceiver/model/core/__init__.py,sha256=Drk_kYrxrCadOOi8b4MhVHVpz756m_rOR9oDKU4SxAI,130
perceiver/model/core/config.py,sha256=cFip9dmPcZ7zcjgsyIiNpXiDbnJnFqkYQKCAl_UmFhs,2040
perceiver/model/core/lightning.py,sha256=fXNdFcdi8bdCSGfF-cZrueL81y3IiGT4qUnVs4V4Um4,1509
perceiver/model/core/modules.py,sha256=mKhoM1Wra3S0Hm6eX8HoBrAXZMijVq5DSd8xrN7hSTg,21990
perceiver/model/core/utils.py,sha256=PxhwXTfN8aq20u1DB1Dr4GTKy0eqxK7Odc7pfaB8EH0,348
perceiver/model/image/__init__.py,sha256=HYqZE3bJhUBoeXdlbmzBUgneg9Yins953V930wZSGqs,83
perceiver/model/image/classifier.py,sha256=rk1BghByY45I3kB-X_AhqFq-ldZLawEV2ciq9gSGr-w,6093
perceiver/model/text/__init__.py,sha256=ICXRTfqwPFjtTXhKExMjwCK3ZhoDHQTqnwSiyzL12UE,76
perceiver/model/text/classifier.py,sha256=qUhg4QHuDN2rfdnJaTRhj9DSCs4Qld4i613_PJjShUU,2841
perceiver/model/text/common.py,sha256=vTs_nMYyQxrm0alL1PEn0bzZ6Bb9QqAD2JVVuKFE0cQ,1939
perceiver/model/text/language.py,sha256=Pr8Lvj5sx5EMFjxFCEWISPW1cbFjB-nRrRFovOFxyLc,6628
perceiver/scripts/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perceiver/scripts/cli.py,sha256=D31CT9Z3xMzz9ohBztYRoU6sszV3XFVCHfuhsB43Hys,1249
perceiver/scripts/image/__init__.py,sha256=VwAZGKP9BMkkJHaeNadTsLO7_Y7kXFLlNcglzQt9dYA,159
perceiver/scripts/image/classifier.py,sha256=jg5GVFV__QCiBpYEroV8mKpvVDTlZO9fHgbuy8X3m34,1479
perceiver/scripts/text/__init__.py,sha256=d8h2uhhx3janNl30Fp4pmgfPTgcdiGNc1duFVLsD36A,421
perceiver/scripts/text/classifier.py,sha256=IN74jBwOiNTUNui0pBKg060PbGc63domoG0Dp6UINSM,1658
perceiver/scripts/text/mlm.py,sha256=dCaYELQNqHCUIzubWwzo0KOrM04maN4dEdtxgtR3c3Y,2641
perceiver/scripts/trainer.yaml,sha256=MQG8fLpo1GEwBUoHcXG4N2dvP7U3hEI1_DVj116s2l8,1800
perceiver/scripts/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perceiver/scripts/utils/dataset.py,sha256=DvSFcHVI4L23Qbk_K3rxi9ePUkv0mm8fcTmv4P0gyUs,1297
perceiver/scripts/utils/scheduler.py,sha256=G5j_X3O0Br1xnN5fsa1fugS36BBuWSQUQVta2Vuw2OQ,655
perceiver/scripts/utils/tokenizer.py,sha256=JdPrSGMiK3-kfacDvSd2CwcDoyRCSw8oYs0q3M0_sQ4,4167
perceiver_io-0.4.0.dist-info/LICENSE,sha256=z8d0m5b2O9McPEK1xHG_dWgUBT6EfBDz6wA0F7xSPTA,11358
perceiver_io-0.4.0.dist-info/WHEEL,sha256=FWzWAvOOsDP6aqtZj_z3pIhVEk8S9F03Xwafa0tLqIY,90
perceiver_io-0.4.0.dist-info/METADATA,sha256=vRifIne7C7sb44lmKn_2RH9NQ-u9ZzzTUgsd9Dl-3X8,16977
perceiver_io-0.4.0.dist-info/RECORD,,
