torchzero/__init__.py,sha256=CCIYfhGNYMnRP_cdXL7DgocxkEWYUZYgB3Sf1T5tdYY,203
torchzero/tensorlist.py,sha256=V9m5zJ44PtiJxTOiM7cADxYaWK-ogv5Tk_KnyQqm1oo,41601
torchzero/core/__init__.py,sha256=hab7HAep0JIVeJ-EQhcOAB9oKIIo2MuCVn7yS3BFVYA,266
torchzero/core/module.py,sha256=Dhf8Rn6zKpzzO3rzyxzJnRAe_tOKS35AgH-FQQKR16A,22362
torchzero/core/tensorlist_optimizer.py,sha256=MenRzyNPQJWx26j4Tj2vbX2pEcRu_26HQPIpUu_nsFc,9957
torchzero/modules/__init__.py,sha256=5f8kt2mMn1eo9YcjXc3ESW-bqMQIRf646V3zlr8UAO4,571
torchzero/modules/adaptive/__init__.py,sha256=YBVDXCosr4-C-GFCoreHS3DFyHiYMhCbOWgdhVVaZ_E,161
torchzero/modules/adaptive/adaptive.py,sha256=Zp6cBbuLIeyEDcZJxgpdXPVnw7sjhkBSe9Pd3HHkHXk,6477
torchzero/modules/experimental/__init__.py,sha256=dRLPbhTO8efkRQHB-8Z29dKS3BEleCso1dsXxgccFgM,647
torchzero/modules/experimental/experimental.py,sha256=4w3WyBL43WWwYL1ZdoCAdtBHnJfTrUYe9NBmmqTxYes,9808
torchzero/modules/experimental/quad_interp.py,sha256=6Nsvpv580KpSujPYHxK-qB5m6b7C_dFdBxCXE49VHAQ,4106
torchzero/modules/experimental/subspace.py,sha256=6n0INUqya24RR4Onm7bGNAPsdqw4lPYIGqT6OCwXNOU,11766
torchzero/modules/gradient_approximation/__init__.py,sha256=q8rNkk2PK6Y9zk42Mq8pY2YF6fHt5QuJd7BK-RTFKpg,179
torchzero/modules/gradient_approximation/_fd_formulas.py,sha256=mXqRwsDYjXi3pnI4mkpwwtJE85omYEvcmtbJAOfpg9o,82
torchzero/modules/gradient_approximation/base_approximator.py,sha256=VjQ_NNLElDnk4kGPYy8iK9A6f2Y6yo6H1axpXkkAeSw,3632
torchzero/modules/gradient_approximation/fdm.py,sha256=1FVPe3J3tOBgktCKlcd-wOv3bo_FynuF9U4RKbsz-CY,4976
torchzero/modules/gradient_approximation/forward_gradient.py,sha256=3CC-tcUIAL0d422WHUQLPx0UMcU5URQ5uYCNbgpi19M,6456
torchzero/modules/gradient_approximation/newton_fdm.py,sha256=BqkNZp00pUBJLWAXKNTk2eggbE4o6u-eLmvWw55zihg,7100
torchzero/modules/gradient_approximation/rfdm.py,sha256=2nYl_Pu6Lc3gUjTu0GqTImoMSCX5MPFKmvoagpdrf0w,4966
torchzero/modules/line_search/__init__.py,sha256=hYysFi5b9a5g0jcRNkgZYGRcZ1V7_JacBVWMR7idP38,1380
torchzero/modules/line_search/armijo.py,sha256=Iw7bsx2yhDhZ0POvD2lc28tv_b5zphOq3MPed8dAYLk,1955
torchzero/modules/line_search/base_ls.py,sha256=tPlJxZ_CVGPxVrG_jxud8LRbgceZKMf-ZBbDv0jJX2Q,5319
torchzero/modules/line_search/directional_newton.py,sha256=PMNjjj6n1GVuMe9fwGGYnxbA9Tw5CQxLXgJNhNiwURs,9148
torchzero/modules/line_search/grid_ls.py,sha256=tCrDxE1OMIXMisYdyiBF56XBRP16mbSs5SFDRcy1vCw,5603
torchzero/modules/line_search/scipy_minimize_scalar.py,sha256=STGvMuCPcqxw9iaiD6jLsI6YgxAvEic0tfqDQ90qAiA,2196
torchzero/modules/meta/__init__.py,sha256=ARVR3Vzvq50n-3uFMNxcGUDd2r4Euamay5UYtpIxXNg,407
torchzero/modules/meta/alternate.py,sha256=kJB3Y507u_a_dra7N0Wo4uTQhbMSfizG0mmmuISzeH8,2119
torchzero/modules/meta/grafting.py,sha256=IenyBO0FmJDO6st_mfFAUnu98UlChm4Io4aKARsDI0s,7560
torchzero/modules/meta/optimizer_wrapper.py,sha256=x1nkKoqGK6-lgiuRYzVFcTNUCYeiwFet0MZoaQ3kv8U,6432
torchzero/modules/meta/return_overrides.py,sha256=Amp4_yiMtXNM8_JgnAKK71BP-NrqvkYha4wt8mA-Nb4,2023
torchzero/modules/misc/__init__.py,sha256=P43XRz1nnOuJbpq_bQboLJ7hip80SQmvhua2baPdJ-c,390
torchzero/modules/misc/accumulate.py,sha256=M66TaL0XBioC-2WkPOj8crKoQrWx-np-Im4I2pzvwHU,1324
torchzero/modules/misc/basic.py,sha256=EnuS6nZwyRXjWytyQef3f5885NC2b79wiQeZSU-urYA,3475
torchzero/modules/misc/lr.py,sha256=xG1TCPeZazp1SBkAdwxY3tbt9-Tgufzq0noPlcsZkO4,3523
torchzero/modules/misc/multistep.py,sha256=Jnbs1upMpvabhSkju10ciOuPzMd0CD5UoK4ueUrh048,1770
torchzero/modules/misc/on_increase.py,sha256=WT86io0qtTk4UbrNAQlXyPD7ad61EagKqhr2mrrRcYA,1998
torchzero/modules/momentum/__init__.py,sha256=Cj_3KJ76RLX-WQ7xsOoLY9mucQvnkyudTeVH8fnvdwc,138
torchzero/modules/momentum/momentum.py,sha256=3zpmhzOI7KLX2nbaWivGEquo9nboEmkIyAO8k8SmWdw,3931
torchzero/modules/operations/__init__.py,sha256=4SxIQMh-ixEqEDXWdizeGOzfhFw-af4Wz0A-00ypmg0,378
torchzero/modules/operations/multi.py,sha256=3T0mqrnKrdE1G7wayolCZVjWWjLG7geafu1vbClmz3Y,10273
torchzero/modules/operations/reduction.py,sha256=mMqxW-PO7T-azTnbx2vFnfOVTHfw7u7BzZveoaaCfxc,4621
torchzero/modules/operations/singular.py,sha256=J1_0HKPi6Tu0j-25lMP4FPRwgjm8drM5QRcUCmvQNV8,3560
torchzero/modules/optimizers/__init__.py,sha256=QZu8yvqy7ouY45Xju5Z2oHWJiFa1CslknodhWWRZRms,247
torchzero/modules/optimizers/adagrad.py,sha256=7SQiQBtkN72nhZ6a22p4KCCwzxUYcvt1qPRgT_y2I7w,2014
torchzero/modules/optimizers/adam.py,sha256=17HJl5VHtUDHPVSW8nTVb9XrjuXQ1H6lFLAaGUkq028,4714
torchzero/modules/optimizers/lion.py,sha256=DRm09OpQSs2YjFx21OMA5ADp6dVYLPN6uu61GkxyF6o,904
torchzero/modules/optimizers/rmsprop.py,sha256=vcPjGh1krMLGX97sNKgKc5rx0-tT_cQznSwgmEtlq0w,2152
torchzero/modules/optimizers/rprop.py,sha256=OjLmHhhPjfRe0KxdPSKduIQs5atwoCvbNLLoDbFWAfI,3603
torchzero/modules/optimizers/sgd.py,sha256=t31zfKuV6tJRzIOEtZBX0gH_KGdRi4ddvKhYibK5eCM,2242
torchzero/modules/orthogonalization/__init__.py,sha256=brvrj57U_1qKKU8AUqbe9lyY9jsfzZvUGnvsU4wjDSQ,151
torchzero/modules/orthogonalization/newtonschulz.py,sha256=gXSkONee9GC5oTODWde2d2HaxTVWbSZMIG1ZD9p5LRE,7517
torchzero/modules/orthogonalization/svd.py,sha256=HO72YUP4Jlk-WeCoVpT3kqPLuiUwcApNvsXx3-PMFAI,3651
torchzero/modules/quasi_newton/__init__.py,sha256=G5lW-q0pI47SJ2AZuY4qkjbqfYzJS0qATDo7V0BGzD4,124
torchzero/modules/regularization/__init__.py,sha256=FD_KERcYY4bdVR22OuKXUUVt63jyfE9V84evwDC1edo,498
torchzero/modules/regularization/dropout.py,sha256=Wt0rHQxMt2t28fNaNkfNlXVcbcf3TlqWhKzWi1kz6lU,1003
torchzero/modules/regularization/noise.py,sha256=LFSG4Ga5W2VuT1jzkApKodMiDsHbi8zYJ9N_ZnsLMoI,3026
torchzero/modules/regularization/normalization.py,sha256=LxegX6Wf0QYZPSxjtUsx7x6IO9UCGc_SBYRfFp3EJHk,12152
torchzero/modules/regularization/ortho_grad.py,sha256=TLaF8GIM6_tbHHvUhi9XUKJvTdPgF9RM364HXYmVliw,3126
torchzero/modules/regularization/weight_decay.py,sha256=AjR1RuUDa2DM1PbHx-wBT41XaaAs2w5PKLjRRpV3JrU,3624
torchzero/modules/scheduling/__init__.py,sha256=NxR1cpKXtZSbVqPRlzzzgH3_JBMuxQCf3nUhmxBN2Cc,89
torchzero/modules/scheduling/lr_schedulers.py,sha256=MYcQ13YexvyTSD9AHxdu54DSu_neTxY-BImUwBFc7Iw,4963
torchzero/modules/scheduling/step_size.py,sha256=NTHOFO34GroEE_O2IWmZprRpD9wiyLu7iNvaAUlfVbc,3664
torchzero/modules/second_order/__init__.py,sha256=oRyRy8mCjurMINHNdsxjlptLbQNU0VnstkDm1Ccv_80,182
torchzero/modules/second_order/newton.py,sha256=iVNawkyiz-Yj8_cAKi1BYeffk9P0G9UoddnVTBogR64,6751
torchzero/modules/smoothing/__init__.py,sha256=sKc9P7QJUNEyuoQXjhMkAELFdqe11tB1HnnKeMI4ciQ,194
torchzero/modules/smoothing/gaussian_smoothing.py,sha256=kP72r-f0prGEEzgaVeY1RLFLTfx05L_SOtLMCrkXeOs,3827
torchzero/modules/smoothing/laplacian_smoothing.py,sha256=ehb0lj479RRKZTJ5_9FGDXwidWF5soo9hw8vquqrl5s,5552
torchzero/modules/weight_averaging/__init__.py,sha256=nJJRs68AV2G4rGwiiHNRfm6XmtM-xUev1pCtzNIVfa8,66
torchzero/modules/weight_averaging/ema.py,sha256=xdVnKC8PxCQCec4ad3ncvznvVsQM5O6EVfsOKsRr18k,2854
torchzero/modules/weight_averaging/swa.py,sha256=syio5qq1vf76d5bAJU-I8Zc8U12bR2n8C9hEznCgr7s,6764
torchzero/optim/__init__.py,sha256=vk6pIYJHWAGYJMdtJ1otsmVph-pdL5HwBg-CTeBCGso,253
torchzero/optim/modular.py,sha256=tiuKXpLqq6jWwWWrfC_QU9XkErl2Saaw_xGau0frwzQ,6060
torchzero/optim/experimental/__init__.py,sha256=RqNzJu5mVl3T0u7cf4TBzSiA20M1kxTZVYWjSVhEHuU,585
torchzero/optim/experimental/experimental.py,sha256=tMHZVbEXm3s6mMr7unFSvk_Jks3uAaAG0fzsH6gr098,10928
torchzero/optim/experimental/ray_search.py,sha256=GYyssL64D6RiImrZ2tchoZJ04x9rX-Bp1y2nQXEGxX0,2662
torchzero/optim/first_order/__init__.py,sha256=CRT4farcwi8sO1qqDGxXv1856zOwuKlJKBIAIvpL2Z0,336
torchzero/optim/first_order/cautious.py,sha256=XBeqrLQ4gFKVUYnJI5ROmF9wQJGhY90HR6UG5IS7vYk,6610
torchzero/optim/first_order/forward_gradient.py,sha256=8u_ya0NuFSopPPhOiqqSov35irg8tF3LeHYg-qthTG0,3065
torchzero/optim/first_order/optimizers.py,sha256=jYmU6YDsYRGMRsCNkYc6AlvOf3wlU7Uv1xUrzl0o8zo,24501
torchzero/optim/quasi_newton/__init__.py,sha256=0X83dl-85_j3ck8itWxJR49ZbFeOcWurW6FI8J12F1w,49
torchzero/optim/quasi_newton/directional_newton.py,sha256=oZ-If8SRcFXTDFKS_zlAcJnif-v5dTCR9HXqmfvsvNA,2595
torchzero/optim/second_order/__init__.py,sha256=3Gt0dR4NzBK07TV0NF8KZImUGHbI8E2zncDmhIC377I,31
torchzero/optim/second_order/newton.py,sha256=-DqJrS8JPea6Y9jp5lDV14KyP8A24YKiPxJ32Vsfiv4,3848
torchzero/optim/wrappers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchzero/optim/wrappers/nevergrad.py,sha256=4PLqfs2L9XJhveyX6l7kJu1cIPl6uv7_UD76amIlP7I,4733
torchzero/optim/wrappers/nlopt.py,sha256=fGDOZ82sRI2VLH3hKIAhZY4EuKSdu_g217c-NZvD_rs,7104
torchzero/optim/wrappers/scipy.py,sha256=_BQwFDQ7SBqIA5i1SJ29Xj0jDXVV8MQ_9RcsPT3U6VQ,18047
torchzero/optim/zeroth_order/__init__.py,sha256=_6T0znO6V63Niq7DMhJPgUuMc_nPvAGxjCjMdf-r64U,218
torchzero/optim/zeroth_order/fdm.py,sha256=5iJc_F_tRR4cGQfy2Jr8PmAnCGrPva89ZWczSdcBkFk,3686
torchzero/optim/zeroth_order/newton_fdm.py,sha256=-5E1FGzeJMr8_IougzE_FEOPFt9pEjQxID4Y89Hpmh0,6537
torchzero/optim/zeroth_order/rfdm.py,sha256=_Y7yiF1bsVRlXt5IK-3zQccwVl95JF0-Xw-fl8Q_7y4,10529
torchzero/optim/zeroth_order/rs.py,sha256=3w2nnPGWPecourEdUG583vchcqdNxC6Q_PBL3l0PvCk,3333
torchzero/random/__init__.py,sha256=8EowQhC4yTZuF8w1ZDl73YZtLej8SuhxCk1Bkifbkms,93
torchzero/random/random.py,sha256=Oq4GvM_6AOsabg5ke6b8h51V9npyHVxp8ob_wC5D-Aw,2829
torchzero/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchzero/utils/compile.py,sha256=pYEyX8P26iCb_hFqAXC8IP2SSQrRfC7ZDhXS0vVCsfY,1257
torchzero/utils/derivatives.py,sha256=koLmuUcVcX41SrH_9rvfJyMXyHyocNLuZ-C8Kr2B7hk,4844
torchzero/utils/python_tools.py,sha256=kkyDhoP695HhapfKrdjcrRbRAbcvB0ArP1pkxuVUlf0,1192
torchzero/utils/torch_tools.py,sha256=sSBY5Bmk9LOAgPtaq-6TK4wDgPXsg6FIWxv8CVDx82k,3580
torchzero-0.1.6.dist-info/LICENSE,sha256=r9ZciAoZoqKC_FNADE0ORukj1p1XhLXEbegdsAyqhJs,1087
torchzero-0.1.6.dist-info/METADATA,sha256=H9l8B0fPWrzR9hs1KrO4XXTxJUuRje7NhGqz1PhOOCM,6096
torchzero-0.1.6.dist-info/WHEEL,sha256=In9FTNxeP60KnTkGw7wk6mJPYd_dQSjEZmXdBdMCI-8,91
torchzero-0.1.6.dist-info/top_level.txt,sha256=isztuDR1ZGo8p2tORLa-vNuomcbLj7Xd208lhd-pVPs,10
torchzero-0.1.6.dist-info/RECORD,,
