deepmd/.gitignore,sha256=piBeTEfzk2_Z8V-_uq1oOin_BzTFarVK0hOZvAxy8Zg,28
deepmd/__init__.py,sha256=ryN8fQ_EH8oVhv9IsvE5m-wPZqu58SqDLghMJZR9y8Y,1176
deepmd/__main__.py,sha256=FuNk-VxfJ8DPi9_37DSdbp6MnEzRXd_XJ0z8AGIx_mw,162
deepmd/_version.py,sha256=gWzTzsBLgylsZgP6YYMoDLikYg-GfjhR0BcLii3snUY,19
deepmd/backend/__init__.py,sha256=A4NG9UzZTHYqBP1dHF9iGXIdP64maM-aVco9m1WpqVc,628
deepmd/backend/backend.py,sha256=Z8M42_KDhNFeKzT7ChPJNoURGKpjNW-k793tdvUyTc4,5100
deepmd/backend/dpmodel.py,sha256=XS6J0SgFL9kztbZMGxf91w7Lw4DtUqLZ_hOWXTr5WSs,3105
deepmd/backend/jax.py,sha256=coHZdJsEtSykZYatHrrwVLEp4Xg7BK8i4i3l-hmoKLQ,3071
deepmd/backend/paddle.py,sha256=GhidlENOtNYIa7tdWPm__IVhbyV2Smvkdua6YwE99K8,3144
deepmd/backend/pytorch.py,sha256=uN8AWgYxoaHO96meXMPoJocmKzGN4UQaG1ppWEBnDnM,3146
deepmd/backend/suffix.py,sha256=O3ZMi1y8pPqAiSDguWQbTFIfRVNq8GfmPvEyxEww9hU,2704
deepmd/backend/tensorflow.py,sha256=qAk_TfC_JVsyvXwYErKQF7miCh8TxyR8z9cSk42R0wM,3404
deepmd/calculator.py,sha256=vcDzb9jJBCUOaSeTs-8_9QxyPmZouP_8xVas8A0q0-M,4938
deepmd/common.py,sha256=5M-sFXpoLahln4RYkQWnJ9n2aes1C2qN992QXY0lp8Q,7917
deepmd/dpmodel/__init__.py,sha256=pDDjNwR7Nl8Z4vBKZesNgZQHvDA6GOnuwbaEAEyMnQI,809
deepmd/dpmodel/array_api.py,sha256=bQpLFOu38ZdE7iFONsFfjJBfTXJG4swDN13558cNomM,4377
deepmd/dpmodel/atomic_model/__init__.py,sha256=SPD4uiQczKabtzOKYBZDxxzoztWMeKKUacc-yQTEy4Y,1574
deepmd/dpmodel/atomic_model/base_atomic_model.py,sha256=yQs0FL63Xxgy48xUFyQeXqpC0xqd5bjrBw5VV7c4Kf8,10988
deepmd/dpmodel/atomic_model/dipole_atomic_model.py,sha256=L9oQ1TXdueQQPVKu2lvM1nBo9vnfCQiSPui-TUaVrbY,1076
deepmd/dpmodel/atomic_model/dos_atomic_model.py,sha256=iouSzDFI192RUxX-Ul0VU_jVLEA6xIc-JxawQAVsZ6c,831
deepmd/dpmodel/atomic_model/dp_atomic_model.py,sha256=IHAfPW_hKT6n1uTwsH_k7IeE9N-_LZfK7eJpxLrWoEo,8203
deepmd/dpmodel/atomic_model/energy_atomic_model.py,sha256=vs6k4SiH9Q09GCmdOJTG-E2IRFJ4U8OkqgIe7kbDNI4,736
deepmd/dpmodel/atomic_model/linear_atomic_model.py,sha256=zLlMw1ic-IKNk0K115pSXkNVdOwFXhRjFvR1MHjXA0o,18130
deepmd/dpmodel/atomic_model/make_base_atomic_model.py,sha256=_5B022BVlaM-IVrT0vIg-RqocI5rl3es_pj-RrkEzp8,8364
deepmd/dpmodel/atomic_model/pairtab_atomic_model.py,sha256=ZpeyhL9sLbMgblxpVOcHMIc69IHvnoA6BR9QLhJWeSc,15753
deepmd/dpmodel/atomic_model/polar_atomic_model.py,sha256=l4HQ2S7DdFWWhf8o7cODAF2LNWIhKApp6ztTlOBHLlQ,2161
deepmd/dpmodel/atomic_model/property_atomic_model.py,sha256=SlXyrWkkkmNpemad88Foy4ki0G9qvwDqxlyU08Rh1ek,1404
deepmd/dpmodel/common.py,sha256=UtP0cxBeociz2dvFT6wMgUgwEHZPi7VZ_1bcvQ_4I38,6865
deepmd/dpmodel/descriptor/__init__.py,sha256=TGiatporaI7d1c5-6ZgpN4ZWfff18upBVmrMlivijK8,749
deepmd/dpmodel/descriptor/base_descriptor.py,sha256=L53kfAp4AjrLjaFRk0yQepH6iZTX9m95npA4Xdf_KEs,198
deepmd/dpmodel/descriptor/descriptor.py,sha256=6NUlzwcACGqVugVQMTS4xdqAM73Wu6OKX7GkPgCZWAQ,6074
deepmd/dpmodel/descriptor/dpa1.py,sha256=Y_tN9Y10FjlynILKlLH5xp8Td7Oh4a64innhK-Tq1e8,59937
deepmd/dpmodel/descriptor/dpa2.py,sha256=vp8tIqKK_Lw3GGXDAyYT67MeA1yvf-e_aA72kUb13mA,45987
deepmd/dpmodel/descriptor/dpa3.py,sha256=OQG_IUSf-45ttp7jWufhGCuj8lK30DcTYNxuOv7zA_g,28541
deepmd/dpmodel/descriptor/hybrid.py,sha256=_38H_K727lu9TqKubMAxvwSX6wMzCEvb3jh5--4E46o,14462
deepmd/dpmodel/descriptor/make_base_descriptor.py,sha256=Uu7yKzsccWPYLlFz2ijWKnPEruUdzKERpJVSgf0tqgU,7956
deepmd/dpmodel/descriptor/repflows.py,sha256=_s62a9cUX9qlSvdD4O5XrXs4ZUia_Lf-9ssoa6BX1mA,76150
deepmd/dpmodel/descriptor/repformers.py,sha256=G1PEX-Y7P5tMnFtzVo5QRxAFfpaIox6qnynY8dSGTjc,74390
deepmd/dpmodel/descriptor/se_atten_v2.py,sha256=YjlFNp65eM0I7WSldXc1VuRAOVrDOK7KgaeRh3-WljQ,6499
deepmd/dpmodel/descriptor/se_e2_a.py,sha256=A71JGmovNkV8WKpRw0hVFOCmNHmR3CVrVIF9AGFuBEg,23636
deepmd/dpmodel/descriptor/se_r.py,sha256=IcZKNge7YjzktYYb4-czs5AMRRiyQ9gBKNu0_nQHsu4,17200
deepmd/dpmodel/descriptor/se_t.py,sha256=DqhnZODa61uZdubyINT4YmoJwYAu6JJHiRRsbfOWy98,17757
deepmd/dpmodel/descriptor/se_t_tebd.py,sha256=87gFBkR8XimgLLVbN31cluFnOjSp2R5XObSd8yvFouc,34148
deepmd/dpmodel/fitting/__init__.py,sha256=rQePL70rWvn98w06UJjaa1FGpPHWO_igESaJSKQi8_Q,623
deepmd/dpmodel/fitting/base_fitting.py,sha256=S7KbnHDJjNyqe9k_nVKVX2l4PVIr6im3lY0vIc4CjqM,200
deepmd/dpmodel/fitting/dipole_fitting.py,sha256=8-HBhpuvJLa-86WiqIFSX8pBNvPtkQp4OS_N2Ym1p8c,8846
deepmd/dpmodel/fitting/dos_fitting.py,sha256=MsF8w8CP4GzIC1DGUmA5tZjwDoQgagihebGQZNZqzKY,3006
deepmd/dpmodel/fitting/ener_fitting.py,sha256=njt6Y4oG05FjgZBYzhwldBtJssnN6BT10IuEKnSJ8ic,2729
deepmd/dpmodel/fitting/general_fitting.py,sha256=QHW_bCFntXeQP-AKFLKovYvGgs53XURMxJVDLziuYio,24134
deepmd/dpmodel/fitting/invar_fitting.py,sha256=lTRC5otrqfbcnqMKAoo4BVFSLC-pNpAiVihVgYwUZYM,9569
deepmd/dpmodel/fitting/make_base_fitting.py,sha256=cc3ZLFfAjd9wvHZu1MX4GTJBCVBNtuwAz5zm5GBPV7s,3249
deepmd/dpmodel/fitting/polarizability_fitting.py,sha256=A3IjR7lyKUHbYanqWUnY_Bc423JVkTovljq1NMLpI20,13185
deepmd/dpmodel/fitting/property_fitting.py,sha256=kgF7sgqHqZp2NoCgqg73GOZmpJ6oammh0pCFpE6ub3w,5608
deepmd/dpmodel/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/dpmodel/infer/deep_eval.py,sha256=WiNiuZ82CbcJGpRifsaav-0jX4orglaclevQOPvcpxo,13606
deepmd/dpmodel/loss/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/dpmodel/loss/ener.py,sha256=HrUpjuJscVN9OfXskSUns6YJry68pRtw2psPreMtVlc,14578
deepmd/dpmodel/loss/loss.py,sha256=SE6sG-6vmFkqEEGRHdUsVb6_ZTwZPTkHzkoXNIpiM74,2514
deepmd/dpmodel/model/__init__.py,sha256=S6jZoXLzN06Riq4mbmxWfe-YD1E0I930Xg2EUKNw-3g,975
deepmd/dpmodel/model/base_model.py,sha256=KLCK1qEYgrELY07DwvswkRWvdnLPSa8k1E4zmgCf1eU,8772
deepmd/dpmodel/model/dipole_model.py,sha256=6Qdn9LVd4u_pfv_9oNJNYyS7otfPSpDxOJ_Rrje3Kt4,674
deepmd/dpmodel/model/dos_model.py,sha256=hfU-8GPGfXiEqxEfszeSnqlNKnLJ7v-xePTwlYdvh98,650
deepmd/dpmodel/model/dp_model.py,sha256=Df-kp-cOaNSi_cKY2b-hmq7R5jq69FSYSTC6FVtJL_0,1513
deepmd/dpmodel/model/dp_zbl_model.py,sha256=Tx6gMN7LGQNz7KfN3EpkstD1S4LX-cqZJb5NWNgxkZU,1706
deepmd/dpmodel/model/ener_model.py,sha256=q6cGbptQn3zns3eQl9u1GHYXvXYJmcRdiqmlaFZ9YuI,1204
deepmd/dpmodel/model/make_model.py,sha256=OuLWwTzVQBsoC6RLCKOqElRwJQY7Y0_naxmkUqFtpt8,22473
deepmd/dpmodel/model/model.py,sha256=efTjJ980REbV2vqeEsMN2B7ZJfq63b0ejb1VagBDd84,6672
deepmd/dpmodel/model/polar_model.py,sha256=9e4tICiOPPph4z0FbbpDrTsxgwydumpedxkQDTQG7nw,666
deepmd/dpmodel/model/property_model.py,sha256=tJ3vef7St6Srua2rJd5G-5lAzS7MltdxnAQ4RkGEjV4,790
deepmd/dpmodel/model/spin_model.py,sha256=tTHkion44Ftx1QyJzzcPJS_7dQdhOwL28RarwNmd33E,17340
deepmd/dpmodel/model/transform_output.py,sha256=POPWTkOD9Dk3HASTc6Pekt3N-Y-E7ELM4lVdvX7L5Ak,9583
deepmd/dpmodel/modifier/__init__.py,sha256=hWEBkN8BsJk28tE9JeMXhgNLziawTM3Wgk8LvA_rkcA,149
deepmd/dpmodel/modifier/base_modifier.py,sha256=1JfMIsyNfn1YRBGjF72GhdH0IQcf18LtCcoF_Et-knA,2154
deepmd/dpmodel/output_def.py,sha256=OYgGaUVWxDGQBBHBXSM-coVHi_-KiA9AQVUHDv9A_pw,17877
deepmd/dpmodel/utils/__init__.py,sha256=0tN6XM5KU7LJ9D4PnWwHeDBfdppgu34zpnHHaGE0wlI,1426
deepmd/dpmodel/utils/batch_size.py,sha256=UshS4QIjv-Rq5LCtJFASpXw6cKZtB06Ka1whg85q3zw,704
deepmd/dpmodel/utils/env_mat.py,sha256=IxZtv3AxmSKu3xl0q64zc3R4Vm27OgvWV7Ufr7A2xYc,5971
deepmd/dpmodel/utils/env_mat_stat.py,sha256=jAnsMzcwzo5FP-rC7foZWJXzl3vp30Q5H1prcSRr7E8,8417
deepmd/dpmodel/utils/exclude_mask.py,sha256=0lpbt9CkvzkL7JEYaxm9zHWy-tZq73ybd8JKJSzPcoU,4364
deepmd/dpmodel/utils/learning_rate.py,sha256=2KjGuRaFwPUTACEDyXE7wcl3YrENXWYQTN0fmA8tXZg,2054
deepmd/dpmodel/utils/neighbor_stat.py,sha256=VY2puRR8jx34YwOLj3IHK9M60Jp4Fk9V42s950mN26s,4816
deepmd/dpmodel/utils/network.py,sha256=FGbqU6UaAC46eZ2dBHs5FdCm_zMWLBaNyke29XeGKl8,37646
deepmd/dpmodel/utils/nlist.py,sha256=gRzFVMetbE_cXX_zOreZuSxC0SH8vOyQO7wXu7l5p-g,11039
deepmd/dpmodel/utils/region.py,sha256=9mxHbSLYiAfp9ENfllP9Aw50s4d4WHQ3d2LIFU_W5oI,2879
deepmd/dpmodel/utils/safe_gradient.py,sha256=QsQaiLWSdK4o7Zu7HwAxJ5kUkaZvIwA4MSr1Xcn7ggs,1231
deepmd/dpmodel/utils/seed.py,sha256=C0D9DrcWVtcUMI2nq08XKNCFVYOX6S_YlW6OxBciGs8,961
deepmd/dpmodel/utils/serialization.py,sha256=6PLFP7v8p4hYKEN-xlzZl4ee8uAzJy11HbV5qaxB3tM,4847
deepmd/dpmodel/utils/type_embed.py,sha256=9WvwO5SJQ2GbgO79-QSwqVFAM853y4kMd_4VSieSn5Y,8997
deepmd/dpmodel/utils/update_sel.py,sha256=DR-3tWX8_8wshVLStnGKnVDMKm2PN2lB8nrecDZOUbU,315
deepmd/driver.py,sha256=qu2hC99amLtJM4TwCL7EP-Z_d0c40aOKHR0csNlzKv0,2667
deepmd/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/entrypoints/convert_backend.py,sha256=csAHziV4VHq06LNH648agoJqNFoDU6LbVO6PmmKeDe0,754
deepmd/entrypoints/doc.py,sha256=grZoBG5mMAcoMcpW4bD2L8x99j8lvvTX0W9VO-ylbOw,815
deepmd/entrypoints/eval_desc.py,sha256=u_rdrv5ntO-dav4rug7G036Hz5hp6fDnrVH32scIunw,3833
deepmd/entrypoints/gui.py,sha256=BPNWgJoiWkQGKWmwXn4WFvf1VBb_orWOZn9GIZUeCEU,911
deepmd/entrypoints/ipi.py,sha256=c7NY_zRcAYXozPCspqjeRfjCUVhHmW1FBB7JHu8H50w,722
deepmd/entrypoints/main.py,sha256=VDfrRi1l_HlASg7-TiP_ouAZkNhelsbf4iGjdGYmMM4,2774
deepmd/entrypoints/neighbor_stat.py,sha256=c_zaAZf44Oywp00FKNQnGzXeLdZkb1Bm7aY0sWhOVso,2549
deepmd/entrypoints/show.py,sha256=YXUgYnBw-Kvpqqe4ATnrnyqB0igvAFcX_MjkASzo0Jg,5371
deepmd/entrypoints/test.py,sha256=epz6vhoyoySWMefoFmkpf8g84wjUM3OUvFJ3cBJcWb4,44155
deepmd/env.py,sha256=RnBU6oZSF-Xes-FUaHEN81qLDU6vr-fpGc_KUOHZkPU,5106
deepmd/infer/__init__.py,sha256=9L-JxkTTmjam1rjSq4TRczlxSyDjibie13-vnLRXyDE,649
deepmd/infer/deep_dipole.py,sha256=lZ8JFKjNBueipLdvtf-61Svc5pkt7rvlin9lXil6Oag,853
deepmd/infer/deep_dos.py,sha256=iUb4V77mFUgvqBntUCD4YMWVVo5ysSi9DHGJyV6p7I0,4557
deepmd/infer/deep_eval.py,sha256=8wB9bcycieOhoT3rmMuIZ5mhxOw3fThXCvHDvGA-q0k,25678
deepmd/infer/deep_polar.py,sha256=9ZBQUjAbe0VLjIWS3k6c2EC42hdSaoIt0chuIcZu_-c,3632
deepmd/infer/deep_pot.py,sha256=LpyCQIqbIUngcBxiwwzxeUhn7yIUdlTJuwygeIpQLLA,8528
deepmd/infer/deep_property.py,sha256=7diwr6Iu_gyU21ZZytfjnm12Y3HNnxRvCXifjWSGDE8,5355
deepmd/infer/deep_tensor.py,sha256=9o5cdyHdfxXqhaoyo1rM5ZOV_A5rn2YEKM13X1hGmcU,8146
deepmd/infer/deep_wfc.py,sha256=q3SrgTT7eoylRqLZzHep_Bc0KCpfh15GTmCLn12UnnY,1596
deepmd/infer/model_devi.py,sha256=ljto97Sx0JzpQ0p6fVrN3WJmD5c8ZRan3YeuR_-w-5g,16669
deepmd/jax/__init__.py,sha256=didFMfOXeUcgTylR7GuLj3TJwuSICFGnDAhsGmjK54Y,168
deepmd/jax/atomic_model/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/jax/atomic_model/base_atomic_model.py,sha256=6DBKpk8zgZXNbmV22Niy3s3viYukLmevNX8NcGH95zw,943
deepmd/jax/atomic_model/dipole_atomic_model.py,sha256=RhdjlEYaurD1goumvAomLiu8iw3myeFMLW01HCKt-6o,369
deepmd/jax/atomic_model/dos_atomic_model.py,sha256=mmyn_4kO01VYyDKLzxyIVx4i6hm__nRr2qL-vl9shUY,354
deepmd/jax/atomic_model/dp_atomic_model.py,sha256=Ru3V7jObzUwGzn9Hy03j0Vhj8j2MNFNBjhusAeXyukY,2160
deepmd/jax/atomic_model/energy_atomic_model.py,sha256=ldhUse4QzoyuRR9CVV2KsdShGTMNxB8-lrUWGn9UHdE,369
deepmd/jax/atomic_model/linear_atomic_model.py,sha256=ikOlO00XRHN8Onzt6vxxBkc57B8DSa1iI7Go8kSZPNc,2342
deepmd/jax/atomic_model/pairtab_atomic_model.py,sha256=bipFBkQoOFyPBhCaUi0VuYsYqNy5clr1fsfHE_h-ktU,1618
deepmd/jax/atomic_model/polar_atomic_model.py,sha256=pG-8t0t0I-H4iKFkQE7w3dOukS-OI2z8R1ThF0WfajM,364
deepmd/jax/atomic_model/property_atomic_model.py,sha256=xMNGpcNcVCCGfvRs2JvxiZOlYPR3mA0tgGyULFpbaqA,387
deepmd/jax/common.py,sha256=0JKht86uBbA7TjFlwqyI7ggelnZElj6RTQWQXnYDH5A,2861
deepmd/jax/descriptor/__init__.py,sha256=sSrT445l5G90dgIzBGwNQ9-Yqw1_5BB3iWxIkIdvXeM,845
deepmd/jax/descriptor/base_descriptor.py,sha256=DnHf5EJGCGmapJeN908TvmROm2nQEych3NFXd3gg_hQ,235
deepmd/jax/descriptor/dpa1.py,sha256=WLhYWviTUprziVS1HAfZ8Ysjxfqd6gY7w6GMrdnFeWE,3727
deepmd/jax/descriptor/dpa2.py,sha256=XE0viLZOlsDiyrl_gvyWk7CUD6sdo4C6RKv9z0KO9ZU,2541
deepmd/jax/descriptor/dpa3.py,sha256=7FUqUYuAiczHvrqH2koJMYwvrT4ZN4O09RJi19O-eI0,1296
deepmd/jax/descriptor/hybrid.py,sha256=xWHK0z8nKC6SusZ7IpWwca9eg-K1WqZGViAOAHAjliE,1147
deepmd/jax/descriptor/repflows.py,sha256=VyrkZ9zXZK0U2rmKlWVEubeAowbOGOtUIcVlYwYZ5UE,2691
deepmd/jax/descriptor/repformers.py,sha256=k-LrdzsaDK-qfYtRxg1lnsTvGDp9lJk_5cKoM0ZLGAg,5056
deepmd/jax/descriptor/se_atten_v2.py,sha256=t5bhIHNVuL7vmsRTE6Mf1BY7M09XqGDwuepbOMAbGLM,389
deepmd/jax/descriptor/se_e2_a.py,sha256=olA3HfJ0S9NmAkJaP3hiV4d1wnC7EHnvtSAuQlwmr9Y,1538
deepmd/jax/descriptor/se_e2_r.py,sha256=1T5JXz9EUmUiRszE7I217y5HQLjZs5gcgKz4F7pldiE,1527
deepmd/jax/descriptor/se_t.py,sha256=AxCaEI0d5x4rba5LjlYCTo26Ny0SNGDuzVo1mv9PMCc,1461
deepmd/jax/descriptor/se_t_tebd.py,sha256=HIe45dlDh3rI5T8ANIxvn8gp0CNsg3gAHMX_cbnXlLs,1992
deepmd/jax/env.py,sha256=T45-v-383xqvrP6ibaCj_AOnkZp_fjmpHz5H8x9Tebo,688
deepmd/jax/fitting/__init__.py,sha256=u_ZQ0EiggzfMAWPTEQoAQZ1IH_dHEWkFnjFFcSqoZV8,293
deepmd/jax/fitting/base_fitting.py,sha256=C7XO3DbWWVULI14Nf-gYYl_kHK5x4GpKW8pDmR82L10,220
deepmd/jax/fitting/fitting.py,sha256=O2j9DDQiZK-lJv616w1HzJqejeshw7jqxPpl4UbONvo,3248
deepmd/jax/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/jax/infer/deep_eval.py,sha256=KHwsCVzkKxxnokCqRp3Nnla__69y9v9FzaU0cH5oW0o,14581
deepmd/jax/jax2tf/__init__.py,sha256=gAYYWPjTpD_Zeoe4BBH6oMyG6HgVWIDZYBXtB3Q-WbQ,545
deepmd/jax/jax2tf/format_nlist.py,sha256=UnHYSp__pQ9TFLHsP3CQrKKpdMU-O8gOsuEreZeFn3I,2255
deepmd/jax/jax2tf/make_model.py,sha256=-dZ5oqGL8nBKVlbWGfapax2jmUeXjn0KUgus_w0VH5g,2923
deepmd/jax/jax2tf/nlist.py,sha256=5FmbZvHLPl9EZLzsAY19BonaPpQCr657A26mVInvLh4,7659
deepmd/jax/jax2tf/region.py,sha256=Olk067FlqZzo6bW-naSHCYJBQvU8WR5914_A40pbBxI,2687
deepmd/jax/jax2tf/serialization.py,sha256=w6wgck66AGji8IWC48btXNW-f3fc6l8xbpP2msgU-2o,11817
deepmd/jax/jax2tf/tfmodel.py,sha256=nErdHyoY3ax2xm_3tI2hG8RGCoDUoVNVHabhxqUDmg0,10317
deepmd/jax/jax2tf/transform_output.py,sha256=s-z30pq9YMBftQqxvF2jDl0K0vYrL9EVmtucBfXHHxw,4430
deepmd/jax/model/__init__.py,sha256=_RwANamtjJQoxCfq-VNpwhXeAd-rvbTmbQphC0U2E2Y,510
deepmd/jax/model/base_model.py,sha256=6kWdWEnkRVhxHyq63UHJoBP0nNlKontgF_xqxYs8cz4,7378
deepmd/jax/model/dipole_model.py,sha256=0bGHOxHuPNNp_Pi2qOEipWtg1Rc95-INIMNfrkWV-7o,488
deepmd/jax/model/dos_model.py,sha256=gYWv6dpFSK2maCtRxljt-68bKyzOg83Xs2zcz-WuilM,459
deepmd/jax/model/dp_model.py,sha256=fMZ-KTbgL10_S4nusxw_ghYiYDl9cdxDDIFqD4ZJ5c8,2456
deepmd/jax/model/dp_zbl_model.py,sha256=1o5DS_vX_eJtifVhGMakRQ4FVvOxcBPC-cYySbdOEMs,1853
deepmd/jax/model/ener_model.py,sha256=jqIICG3vOie8Z9GW5Nx6NmJ3flfZbiuhFzU98-5_Ong,471
deepmd/jax/model/hlo.py,sha256=DWUJTF7hvhbhfKM7Us56-W3xGLatmKo77n_ddX7Ke3s,9676
deepmd/jax/model/model.py,sha256=A9I8E62HeqAAmciuDzys9_VUeSX1OixeLk-IRpiV42o,3999
deepmd/jax/model/polar_model.py,sha256=_z52JR7BNG4YcCFCBQoV-qNB-JDvG8KMQzg3w_t-5d4,479
deepmd/jax/model/property_model.py,sha256=qJ_iyoybPc9iNqtOW9oimVA9RWH3ppOEx-RWzS3fXJA,514
deepmd/jax/utils/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/jax/utils/auto_batch_size.py,sha256=p16ff12oMiheoJebzF_ry_Q4xu8pxwnb5a3xsPoMRjI,1577
deepmd/jax/utils/exclude_mask.py,sha256=AryU8jywmENbIfUggo2hCNB-eU9C8J8Nq6y6gdVc5y4,1325
deepmd/jax/utils/neighbor_stat.py,sha256=Q4rDnBV0BMy1UF_bk8CHKbKWyOzMxxhXF-s_f3QzG8U,2903
deepmd/jax/utils/network.py,sha256=BT25tzgbuwivLLo33phi27R5SE2cPiiXfCID6DLcEeU,2759
deepmd/jax/utils/serialization.py,sha256=tmC8luVJ1X0RL6fxquTfCk2KmRBSx9aFpn8IYO3lWrk,7401
deepmd/jax/utils/type_embed.py,sha256=I-3IDHqwnTAVhTpFS7OiWReejWGPJGw2stMhTrAMgAw,962
deepmd/lib/__init__.py,sha256=3LningOjkZlld-49ThLVa-1yXGdRkAJr6aypIotqOC0,80
deepmd/lib/deepmd.dll,sha256=e9hGNcXqJ5xWdENdDVOT3x-hNcNWxm407lSsFvdBzig,297472
deepmd/lib/deepmd.lib,sha256=OEEkOp99acuBFRVBRzlaVUWkS_050FBtkY1BeLwtQAw,215460
deepmd/lib/deepmd_op.dll,sha256=qk86KyXs7Nye3oLHj9Nw5V9LG-IWlvZaGKBVXPrSrGQ,760832
deepmd/lib/deepmd_op_pt.dll,sha256=EuypRBtkyoq9hBHmw5_x87rR6EB_8dkkWJ2kwo3z8u8,345088
deepmd/lib/op_grads.dll,sha256=hqz-46SfoRQtq8FeBiqqYSuq_RWvcq5Z1Pd2ft1bm6w,152576
deepmd/lib/run_config.ini,sha256=itB_q_3kO8zAG01yMg-cup2QoX8u6dqvU3isY5MoMBs,975
deepmd/lmp.py,sha256=76QVECIOGddx3X6qu1YDxd5iwKvG7CNcssemRKBum6U,3198
deepmd/lmp_check_build.py,sha256=Db09cPvWR4aSQYN75GTk28h2iDVKcqPDXWzvhIDAyFM,381
deepmd/loggers/__init__.py,sha256=EE8z8LRK1mRqDt7OkMcIM1Yml6VaQW_pwjeZbAkNh-E,175
deepmd/loggers/loggers.py,sha256=Ki_DRPcc6z67sJOiKcfTyylW-Mcj7uVsXLksEPfQHdo,9307
deepmd/loggers/training.py,sha256=GJM95Zxgbt8ZIcpuhgpoU0iJP8FulsIVpc2FUX4FdUU,958
deepmd/main.py,sha256=AB0Upvn5HLAtu_tMOKxOG39xfN4foeBW_bFLR1LKT28,33933
deepmd/pd/__init__.py,sha256=fqNzHRGI_KNsFWoWjKOmw7zPtGKGqhh9zcFei7SO4k4,199
deepmd/pd/cxx_op.py,sha256=0ajKvUcIM1cjc2i1gx4VxqnKGUlid6-SQrDNtFFpLB8,788
deepmd/pd/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/entrypoints/main.py,sha256=CtiA7opqdSZguzn_kfNJQW9NopaN0ezdkezCkXIPlDA,21666
deepmd/pd/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/infer/deep_eval.py,sha256=PuFNphHjv2Qr1P10JBND6ejp5w3P9h6yD8ZUU3WGaU8,32000
deepmd/pd/infer/inference.py,sha256=WUQQ0_sBjmfbhHE4n_fO1_a_MFZylPCjnfc01I7_gi0,2013
deepmd/pd/loss/__init__.py,sha256=zBIlLVibUHdIne4F4j2eBBXQbizx6U6xkCocStQU5fU,242
deepmd/pd/loss/ener.py,sha256=dlNzh6vUlTgQPqvfvMjLTS_Uln59RSfWVlZ12BRzuKs,25607
deepmd/pd/loss/loss.py,sha256=9NUlUSurWYa4ufw9xKfW9SzDvwfFQXU8scJ74SAYPFw,1684
deepmd/pd/model/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/model/atomic_model/__init__.py,sha256=tmpLDP8ZWQL3atxR3mb6lY8OzwfA32eYja3uUu9yaVc,841
deepmd/pd/model/atomic_model/base_atomic_model.py,sha256=MA6JB3tHs-chgYtMmUcCkQYpbpLqkdNLEBLP4BFneeo,24449
deepmd/pd/model/atomic_model/dp_atomic_model.py,sha256=ZtpLYskZbeBtlh3RTHupvDoVFz5wDvMEuK3VhC9fJNM,17626
deepmd/pd/model/atomic_model/energy_atomic_model.py,sha256=pCFkHlk5bCJJ8242RHZfLPNrwpp4N7C6g6mVxLs_oug,484
deepmd/pd/model/descriptor/__init__.py,sha256=cL8kNRqT1AiDEtjXdzo278Zm6GnT6DqRwwHI3OEyBpY,928
deepmd/pd/model/descriptor/base_descriptor.py,sha256=nGeTjI21oYj-czUA_93DbcXkQ_I0qhMyzBEs8ZdvLi4,201
deepmd/pd/model/descriptor/descriptor.py,sha256=FsECU8at2ZFCup06V0Sgw314vwV2fIwqz3rOCoPmOYI,8585
deepmd/pd/model/descriptor/dpa1.py,sha256=2_HRuA06M2jRvMaiP-gnOVogLX_DNtaKHe43nSo_tTM,29207
deepmd/pd/model/descriptor/dpa2.py,sha256=xdSG3TtaOWJjaKd5Cq-bMcmPPiHOE8LCTkBB2z0gCmw,37237
deepmd/pd/model/descriptor/dpa3.py,sha256=qE46tMIBrOmpNSZhj_5RLJtTIXt-YJUIG95YKLaGVKw,23950
deepmd/pd/model/descriptor/env_mat.py,sha256=9qYlnV1QFgnugW611cc_j9VbJ9TQ9XF6AJq-z9XUss4,3285
deepmd/pd/model/descriptor/repflow_layer.py,sha256=Nb88rMgc-s6KojZCN49Rn3zTqf7CinYtYNVqmcR7lio,50928
deepmd/pd/model/descriptor/repflows.py,sha256=M3yrr06PdPPYBFoFCOfKwncxJGVPp1ol8EiEW2FtKMc,31985
deepmd/pd/model/descriptor/repformer_layer.py,sha256=R9gZwD1qgJnKtv8RwxWTGECU3Rj5iXM5B03uOPhDft0,53698
deepmd/pd/model/descriptor/repformers.py,sha256=dV1_vY5kkoFkBRwh_ETUO44kaWjxH8iNAtIoigIXd1E,26006
deepmd/pd/model/descriptor/se_a.py,sha256=3LpP3Xz4lwoKOfgbNL40tAQXdw_QIAEYyMQ6bBycgVw,30586
deepmd/pd/model/descriptor/se_atten.py,sha256=YqWz4eF0iDoLotv8OtbVPfiI6OvB6KAz8zdd4co4sN4,40718
deepmd/pd/model/descriptor/se_atten_v2.py,sha256=xfQsz4nf7dxL5l2HH9bV29oa93sRSZIWuHn8P6BfjWw,10976
deepmd/pd/model/descriptor/se_t_tebd.py,sha256=zCIkiNSj9d6HcQM9CXrRQ5b_1Cf282piJAL8jJOZyMQ,36422
deepmd/pd/model/model/__init__.py,sha256=j0mm7DwMqP2JAoKRA50RxnW0_ndaZfL0SKv8twyl_2w,4933
deepmd/pd/model/model/dp_model.py,sha256=ka02PowhnmKL7-dN36w9aPwIFdXx8e1erKkyHFuL48E,1926
deepmd/pd/model/model/ener_model.py,sha256=TPFUNZ8KT5OwIxKrJgMKhiOZitDOA3tjGX129Kol4ao,5520
deepmd/pd/model/model/frozen.py,sha256=iq_q_BkvSq4AvB-XrJWmtD3qqVd4mFql6EqH__uLkz8,5950
deepmd/pd/model/model/make_model.py,sha256=Ljwu0SjHUjM1c1evGQr570y92zB_RvTUAubsGz0m5Jk,25043
deepmd/pd/model/model/model.py,sha256=VvI9t3d0D5wPfLSKnOOlHl5oNPSopk59LnBjXHM-t3k,1938
deepmd/pd/model/model/transform_output.py,sha256=O8PJDkPx5TAqzddCLEj6pcQ-TEgPyw9ZrMndUGfiMIo,9061
deepmd/pd/model/network/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/model/network/init.py,sha256=VnzaMTLqVJcg2yuAKK9lS64gJbZNIAPqx-b9gijktvs,15984
deepmd/pd/model/network/layernorm.py,sha256=V2jjx3gerJS0M08hglEy9JWR3PjJ6eZsyC65M2_L5To,4692
deepmd/pd/model/network/mlp.py,sha256=u1CPxTVEPFwK7ibif37wsnspRgWdObK7tWZW9jdfjIc,10073
deepmd/pd/model/network/network.py,sha256=fjgLT8XIagu8rcm2bkO3YwdST061MUOvwQqW33_FRnU,12087
deepmd/pd/model/network/utils.py,sha256=X9wwR4R1cr6UZF3yTQEHXcVpOZ5d28Do3DsOKfIFmEM,5191
deepmd/pd/model/task/__init__.py,sha256=e7915tCUoM2awPptCc11PEL_h8amHDxMU9YBvhUUnUk,263
deepmd/pd/model/task/base_fitting.py,sha256=KXNcJ4w7h63EMupBF0Xp3SazgBOrsLymwmGsRMgNiag,205
deepmd/pd/model/task/ener.py,sha256=BAyJm4UTOTxa3mw_gXh2gtZ96M2QqRX7Ud_k4Qv4Img,2251
deepmd/pd/model/task/fitting.py,sha256=KrOBaIue0Re64cE9vtoW1exYVhF-6WYwlsSKIYNK6K4,28672
deepmd/pd/model/task/invar_fitting.py,sha256=D-C9mcgKPsTY0M8eykJV-IYgPgcK9w2BPHAhb0QXWvY,6111
deepmd/pd/model/task/task.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/train/training.py,sha256=RHXfebAgWzoYBP3pS9xwFQxJkVDxioIMuzAmoFA0RJ8,57417
deepmd/pd/train/wrapper.py,sha256=3aa0dSHSmBPO_t3V62L-2A7jBFbhDOi7hmqsGNdWH0Y,8673
deepmd/pd/utils/__init__.py,sha256=mr_5uk-BwL9af8UYZ7oDS46bA7yKFbC2LUtINUnW_W0,190
deepmd/pd/utils/auto_batch_size.py,sha256=-K9ewT7VsYZwi5tslPN3Y3vCXwWEsq3YrLZ-QYhPbq0,1604
deepmd/pd/utils/dataloader.py,sha256=X-JQwITeLWBVJVB_k8hPlUOxSWsZomnA9VrAZc-DYw8,13238
deepmd/pd/utils/dataset.py,sha256=l2d5B9L7B2hci_ly4K97fz0szvCbXi_rmitRaLh1BHI,1909
deepmd/pd/utils/decomp.py,sha256=UnFOxb7zfAuyu15hnl0-Ueg2KpwhKLWKpAPDruA2OmY,3601
deepmd/pd/utils/dp_random.py,sha256=08G_ZfRwGXgfetXKLibTUr3LyvToHDDW7RWuokmvP2s,212
deepmd/pd/utils/env.py,sha256=EKzVZ0JoO-cARNVZKc_9cgSmY1WpMUC0cPFXSc9F6Ks,6837
deepmd/pd/utils/env_mat_stat.py,sha256=FrxL5o5t_KrAFHckZEkuMV-YRCfVH5JCzhi-c2N9XMk,7809
deepmd/pd/utils/exclude_mask.py,sha256=CMQBz3FRfUv_E7RgRZ-PU9urOPexEriOHH1lJIC1O3g,4527
deepmd/pd/utils/finetune.py,sha256=K_3cy43d2iZDI1wt9dyU3foNsqjpjBO9zVh_WCre2VM,9790
deepmd/pd/utils/learning_rate.py,sha256=meNrzxdLOKKbJiPVzF7Zg5lqF0ql5ifRXIhPHEII_24,163
deepmd/pd/utils/multi_task.py,sha256=eXx4vCccfx_l1C51hztSg3OdqukUvYN2e8xRRhx8Xko,6848
deepmd/pd/utils/neighbor_stat.py,sha256=yFefCq0JJo81ySsaC7q_yekEit4KZT57JdM7yIO7OKc,6161
deepmd/pd/utils/nlist.py,sha256=PGikJKLvvoOUs9fFjgPM4lBz8bYRK7gzX8KEimL8YpU,17935
deepmd/pd/utils/preprocess.py,sha256=onsfj3r1-QJ__Wy_bcloW0VnXkAEjWQLSE11wlTVdxE,904
deepmd/pd/utils/region.py,sha256=7qSu-TUMBI95ptw6lPmBNu4D6m4WQYGg0hnoLoWqqjk,2977
deepmd/pd/utils/serialization.py,sha256=T-rOCTzvbwFWJVuOo3t1hUtZ5iDuf1WMuBy-BE4e_WA,3162
deepmd/pd/utils/spin.py,sha256=NI5veRnn87rHaL7g4_D5LRiNHoezWRwqQmm6T3G2qwQ,1163
deepmd/pd/utils/stat.py,sha256=IGHRX1VZYqfbOBauob3XyOYkFET5dQP0DKaQteC4t6E,21763
deepmd/pd/utils/update_sel.py,sha256=1X8l7RnjN4AM-W4RvZnpPcTmjvxZQm_WJDhU8uX8UiA,310
deepmd/pd/utils/utils.py,sha256=QrDgBIgBJ7lZqn3tIuo47rsj4Pchg8WG706meq_3zUs,12623
deepmd/pt/__init__.py,sha256=TY7OHIQWgJlP2gfYzOpsq5NaQEfcct672fMwhwbFbEA,290
deepmd/pt/cxx_op.py,sha256=W1mgOL8ANRh70jVZefPUsUEivYMNHqTW_jxBzfG1wIc,4277
deepmd/pt/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/entrypoints/compress.py,sha256=ZM4_dhFzUz_Ca_SIqpDY_L5ERm1PstEURNdbUBIASaA,2192
deepmd/pt/entrypoints/main.py,sha256=xAICrcSPcRBuHLQtckYVSoF0eH0V-7QDkvROwGmz2fY,19920
deepmd/pt/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/infer/deep_eval.py,sha256=PiSnMBbs54Wax3lKrCsi1FdsBYlO-Hn5txQqukSufB4,30175
deepmd/pt/infer/inference.py,sha256=rbnwnPWIrNfTa0tF82Uc7KhjTmr05dv5bWZBniOf-fI,2302
deepmd/pt/loss/__init__.py,sha256=FUNBTLAlhqOY6Td4zI6Awx2NWELfgRDCGK1FO7ExlKk,563
deepmd/pt/loss/denoise.py,sha256=HxbODy7acUEZEjMEwllIqtxoLdm0oukpJhxm4xTtJ-s,4389
deepmd/pt/loss/dos.py,sha256=tfgcO1TTW6s3VOYF8vZTA4kyxO1Ec0QYPNr8MCP2B10,10837
deepmd/pt/loss/ener.py,sha256=1otg89oCkRQmuF3kq8YlbBEWCCn_995YWrXbGNl2KWE,25859
deepmd/pt/loss/ener_spin.py,sha256=TBMqa-wSCDCPuPw_ZjxGmfzDjgG233H7o2NTbEZHN-w,14592
deepmd/pt/loss/loss.py,sha256=PX20Z1GpHZOIoKQyX3uHtrNdxkNDiPlJm04TxAXBrAQ,2482
deepmd/pt/loss/property.py,sha256=JMKZiAVaTAN0sGCrZq5MfqjsSHgD4imCpND5fjYu4hA,7607
deepmd/pt/loss/tensor.py,sha256=eiok4eerOl8mYmTEdePcFK2902QLcK7thkJOSiz2UEk,7761
deepmd/pt/model/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/atomic_model/__init__.py,sha256=w-5LnvxDkNG90CSFkWUQs4a5We1bLM6KyyGbx7kogv8,1472
deepmd/pt/model/atomic_model/base_atomic_model.py,sha256=ktWdrz3cxKxgj92NHDVk3mvJzfkB7vOvP5BEJSwMl10,23105
deepmd/pt/model/atomic_model/dipole_atomic_model.py,sha256=06EA-ZOhVERn8GAXGMQBsMZhx696kJoFa5tKTay9yCI,842
deepmd/pt/model/atomic_model/dos_atomic_model.py,sha256=wZaqrYvRpfVwkNDGAQNv27N7ILNJo8ok5DMulMhIGYU,606
deepmd/pt/model/atomic_model/dp_atomic_model.py,sha256=B-ymtzywE_6EIYieWtMfkJ0HgJpiJOnEtlWg6OcKr-4,14613
deepmd/pt/model/atomic_model/energy_atomic_model.py,sha256=R9U-dZPHcdOgIuXdIQwVUTt9x3vhXOGu4hkzNSJZGIU,846
deepmd/pt/model/atomic_model/linear_atomic_model.py,sha256=OQ-J76qiP7xiAqsi04dUWPz52MhXgSgVJ0L2byWchqA,23954
deepmd/pt/model/atomic_model/pairtab_atomic_model.py,sha256=29VEW6m3-XXSse4Ph6s4XOja-9xj_Ip6ddeKvbf8-jQ,18455
deepmd/pt/model/atomic_model/polar_atomic_model.py,sha256=zScWfZVdgkFGlAdVOf1ibOTsF97swkp9KYUV40Dv4jg,2292
deepmd/pt/model/atomic_model/property_atomic_model.py,sha256=YMIe4BFNie9U-o3geTcppc0hAyLBgT8HwmZA2uXKc_U,1719
deepmd/pt/model/descriptor/__init__.py,sha256=BlXjpHSb5xE7NwCfoCpIenCLjGROdYT5TGBLKFg1s1Y,1186
deepmd/pt/model/descriptor/base_descriptor.py,sha256=O_Mf0PlSsiCftDeopjFQE8Mo6us26U6MHyYLyRbFTiA,199
deepmd/pt/model/descriptor/descriptor.py,sha256=KkDnPopQp_NVwzyanfa-Nvuys1R2lc8oHhn0xDAm3ag,8846
deepmd/pt/model/descriptor/dpa1.py,sha256=Q1DPsOx8FH687hlQ5O0px-ZkbyHooIJR7w4DWgSul2I,30824
deepmd/pt/model/descriptor/dpa2.py,sha256=6fWbSwvJuibvEGJ0pkqO8G5sJPAoDfFsSCs96A3ZkOs,39099
deepmd/pt/model/descriptor/dpa3.py,sha256=JuYvXNc7v0NekFgkVxjFw4baMVf2lE-3v7VPNlueKR8,22756
deepmd/pt/model/descriptor/env_mat.py,sha256=M_x9B5wfgDupZEg0dlSCNx34qLRgWjPdJUfFHQNj45k,3303
deepmd/pt/model/descriptor/hybrid.py,sha256=vN0Zatahp3SNFk75Bg98U6YbVXvM-LbnFEkMVaRQWM0,15281
deepmd/pt/model/descriptor/repflow_layer.py,sha256=hewdZPeLe_zEEl1dl56IuFwAEYQCQ5H_thmMYfMfa3I,50330
deepmd/pt/model/descriptor/repflows.py,sha256=loTMJrIRK3myYvP_-fX1xAN9_UEuH_DgsyxjzLE0XMQ,29850
deepmd/pt/model/descriptor/repformer_layer.py,sha256=Wy_-mu-vA4vuCCaP5zHRRwPgWjEXIQZGRARVf1sxFuo,52806
deepmd/pt/model/descriptor/repformers.py,sha256=KA8POcSROS5owEYZbZyb8jvIER8VXoOUhOeY1QmnsAI,23598
deepmd/pt/model/descriptor/se_a.py,sha256=1TWkczmqvDi5n9NmV4QOmPCDERx5kfUxIsCwZl3fJa0,30538
deepmd/pt/model/descriptor/se_atten.py,sha256=c2bwSBmF5Wk7W96ui_I9x25B6j3gBUj5zLl42-9RSwE,44106
deepmd/pt/model/descriptor/se_atten_v2.py,sha256=xNraa1JSMaqwwXcEH0ZDbiFYgSPBUOgdVpetB06-ntc,11047
deepmd/pt/model/descriptor/se_r.py,sha256=VYkkEDybZ2SV2dUcDgIKp7XlbsItaJ3y4au3r5WdisU,22122
deepmd/pt/model/descriptor/se_t.py,sha256=mEy0mLrfZ5p0CXt4ULC9Q869tSwxLGZSf_ZL27QpVDE,32437
deepmd/pt/model/descriptor/se_t_tebd.py,sha256=UBsVzVhfrvTL4lC7VhvQEuF56TBEjdsW81XOz6gBDio,41561
deepmd/pt/model/model/__init__.py,sha256=arc692-jn7Pwns1pHOLwN-KDjxB50Jf2kn57E9k-Cn8,11207
deepmd/pt/model/model/dipole_model.py,sha256=3rbKFJfBrcYAfwhaoGu-cbhBZTDZAUhqj5twc0H70P0,4456
deepmd/pt/model/model/dos_model.py,sha256=aX2Taq8OptDKNjAxeIGT5dJy0uIeyexFsC_IF78HSd8,3263
deepmd/pt/model/model/dp_linear_model.py,sha256=5W3TZM0mUQ0Vd0M7WUfMat0wcX9BvlpTE3s7MtrOi3U,5662
deepmd/pt/model/model/dp_model.py,sha256=NKNCr4ouMUWssfSRw_tDb75bHyyE8k7A2nqtzqZdS2g,2536
deepmd/pt/model/model/dp_zbl_model.py,sha256=2Z-EHXFR_tVqg1QqNOVd_Bgp8UfxcW-PLcO28w4a9YQ,5245
deepmd/pt/model/model/ener_model.py,sha256=0D_CuskHMITK5IZP3bngrA2_0pvhJUbAwP-4FQrCl5Y,6265
deepmd/pt/model/model/frozen.py,sha256=1EYTVyPcWqaiFFiFBJMMQ0THs-OH1SwT721M8rY8ls0,6573
deepmd/pt/model/model/make_hessian_model.py,sha256=egoyn8NWMXxLEqogMdns-A81pDBmf8-daRJCboZ0Vpw,7463
deepmd/pt/model/model/make_model.py,sha256=beeWULDvAmIx1Ca9Q6_DLYp_gXldpbgUUvsz4sLKXCA,24427
deepmd/pt/model/model/model.py,sha256=WwqQTGK9RD2G83KlIt6kicQy7_xP5bzQR56mTXjsfp0,2434
deepmd/pt/model/model/polar_model.py,sha256=ZMi6KFkCkNkrUZ-vig8iPYYN7DgFpvZOdAO_m1Rqm_k,3276
deepmd/pt/model/model/property_model.py,sha256=OKOu-JF4lFaho4Fldg76Cu94PS98vpN0HwFU33np07Y,3726
deepmd/pt/model/model/spin_model.py,sha256=1sgBeAhgzd-Xxjz6CvEg80MmeCx_e1-Fk4LYOcKpm3c,24164
deepmd/pt/model/model/transform_output.py,sha256=mLCEsbovH_73cUzOWHNvwgPHmqVP7R1vmVdSNP7AuM0,9574
deepmd/pt/model/network/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/network/init.py,sha256=oICbCx-WHj7OzgY8NMTPqOvQL7MvIIlURKYXcD4k3xs,16508
deepmd/pt/model/network/layernorm.py,sha256=2exwAwu7AVU7VHVoOO46ayXrknkaFPByHg646E4na0I,4403
deepmd/pt/model/network/mlp.py,sha256=ADK0Chu3i7YNkoyfUJAp1txrQZh3WF7BxahxshwY6X0,9654
deepmd/pt/model/network/network.py,sha256=-BrcZxbfegZZtIhMgd50eg9Wqbsf6meJaj9-3qGfrUs,19778
deepmd/pt/model/network/utils.py,sha256=Ejlqp8X0z0iH5WuSAV6qpSCStXbWncR6iqkvStiRK9I,5190
deepmd/pt/model/task/__init__.py,sha256=8QDYH7LSbjSuuwlu3DQoihBuQGf0SfT4njCzMRHg198,761
deepmd/pt/model/task/base_fitting.py,sha256=lQHr0OcWr_Uft17--aYBJy6QAkZzGLFrgy73JKz9PjI,203
deepmd/pt/model/task/denoise.py,sha256=A6vxJWZNeIqKZmj0Jkb1HxnVvKqq4_e6B4NSwGw_RoI,4747
deepmd/pt/model/task/dipole.py,sha256=ddwctbKFg3fpkHtA1wHNRzhISWbkr-9CTGXdroZfk60,7120
deepmd/pt/model/task/dos.py,sha256=0JjWzQnNOTWtWflYFA5DB-pEQII6KdpSi3a-B5-np6o,3790
deepmd/pt/model/task/ener.py,sha256=dhkeQNLr89a9TboVV0T-_5gabzfQRXd0uomIgbYPH6U,8837
deepmd/pt/model/task/fitting.py,sha256=lHTiK0OmZl2A9ZqX4Ytd10HZuUVYIX6802jmYYZaLXg,36027
deepmd/pt/model/task/invar_fitting.py,sha256=uOa-Hnbmy4BupUbo57R5TUOP1feejut26RPu7jhQ1Ho,6859
deepmd/pt/model/task/polarizability.py,sha256=ri_h1C0JFMh2JXa2WArfIfHx1M7q2MMIl2UuAL8fYZY,9912
deepmd/pt/model/task/property.py,sha256=QsPNeVGdCdU7thUwO_n7HRb505Z5LUly9_LeFjTXZmQ,4746
deepmd/pt/model/task/task.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/task/type_predict.py,sha256=4nnQx4KFOyT87bh83qdvHKDkxMjXFQVRQEg4YIq_lM8,1519
deepmd/pt/optimizer/__init__.py,sha256=zgPd5S7ctHzEugZT5iHDbOOFBqDnf8nzRxveWrJZEts,194
deepmd/pt/optimizer/KFWrapper.py,sha256=eJk2aDseSlcYEpAQhOt_6vFYyTDAJfRRo7b-2SBUn-c,5503
deepmd/pt/optimizer/LKF.py,sha256=mQZjeW9p3FomfDG5iz8DGGCq_LWqsJOY_T-eTdkb-0Y,12971
deepmd/pt/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/train/training.py,sha256=ttXbtJ51mNjzhxnE6wkld1HTPV0F48vgfkqwaqvpQS8,65244
deepmd/pt/train/wrapper.py,sha256=fubKmKZoykc-La4xS5bEwfTlzOqTBGE-wUPnFH8paqA,8919
deepmd/pt/utils/__init__.py,sha256=mr_5uk-BwL9af8UYZ7oDS46bA7yKFbC2LUtINUnW_W0,190
deepmd/pt/utils/ase_calc.py,sha256=RSKSwDtKW4woJjjZWbrA4rruuou4MeY8AjiqiIIgBZQ,135
deepmd/pt/utils/auto_batch_size.py,sha256=dICLNOYgSBq7sK_Lp49I5qWSwJ4v9uabYMFt1190CdQ,1993
deepmd/pt/utils/dataloader.py,sha256=09e_gfJ_AUjwp7Br00BFYR1hZ2UlSWTAyww8wE_khXI,10737
deepmd/pt/utils/dataset.py,sha256=CgnRXvjUaP_9Ub4rylJkxn5gK8w_BL_JlOq-Zrfd9E4,1971
deepmd/pt/utils/dp_random.py,sha256=08G_ZfRwGXgfetXKLibTUr3LyvToHDDW7RWuokmvP2s,212
deepmd/pt/utils/env.py,sha256=r_H9an5twbD4yJ0Aru2LfmrsfitQ1Nom-NdFXPPACUQ,3557
deepmd/pt/utils/env_mat_stat.py,sha256=Jsa9BtV2sUUCMtQqmrQMeF5uTnGTa03ra3nViXeq-cI,7777
deepmd/pt/utils/exclude_mask.py,sha256=4jRyy7f8Kmu7Jgd1MUGOeFDOm1fjO_uvHIqDnpMVi7Y,4548
deepmd/pt/utils/finetune.py,sha256=mGSnofkUPxXaAYO-3xZH9CwO6wHranIXbUFEykFLLmw,10440
deepmd/pt/utils/learning_rate.py,sha256=meNrzxdLOKKbJiPVzF7Zg5lqF0ql5ifRXIhPHEII_24,163
deepmd/pt/utils/multi_task.py,sha256=GdDlZIyySuBO5vfQ8e7nJ8u9U1EFBMPq7jIg9r7BxdQ,7080
deepmd/pt/utils/neighbor_stat.py,sha256=Aa12S8nFc9pQ_YMPuJOWmlrfl0-Kyh621QR6f_EVAcg,5893
deepmd/pt/utils/nlist.py,sha256=Jtdj--CFml31pONd1mP83aAZhr69trNcUyLYF89ArGY,16919
deepmd/pt/utils/plugin.py,sha256=HXzMBvTFshe2iCvsjM_dYvCU4qoZIq8sIBgWmxm0lUs,287
deepmd/pt/utils/preprocess.py,sha256=woWtarV7ll_WLt-ChQZaYVHd0LsXj649WbmGzOojqGQ,969
deepmd/pt/utils/region.py,sha256=g26rAynSxJ00ANv-b6QbCct09Qn7dEAQPpi7A_IZG1g,2667
deepmd/pt/utils/serialization.py,sha256=2uGbItAh6IqXK1wAHeIA3Jd2PX5rTeBPCinPrboNRtI,2683
deepmd/pt/utils/spin.py,sha256=24osPjnsw0KDUV_F1hwRNSHr8txTFh9iLvpcD7kwx2U,1242
deepmd/pt/utils/stat.py,sha256=vmq6u1JB4P26ySRRmlcN13v0WB2tmZb53yJOizh-xsI,21799
deepmd/pt/utils/tabulate.py,sha256=N1FLmIc9GyxPcPmz0OLIcXSKNHIKSo8YrPyOTEZQ8I8,23816
deepmd/pt/utils/update_sel.py,sha256=ILlOceFbIj-lzG5ZM1QPdRkGaCNaMlFuwoinJDVDpnw,310
deepmd/pt/utils/utils.py,sha256=UT3_iM8KsuG6QZblRy_yB0UCkm7jpsapfx-Ycbf8i_4,11615
deepmd/tf/__about__.py,sha256=3AjDeSCdkPC1vxmkvVcBVS73oMhbi5EDm3elgsg145E,71
deepmd/tf/__init__.py,sha256=LYiCmbTWw2owvy7lHqkVWIpUjRC5jvZvH8BGWDTbcWk,910
deepmd/tf/__main__.py,sha256=skhGRbi3w1cqr4OdWHL7ypJYKshkK1wvulU5ZigP07w,168
deepmd/tf/calculator.py,sha256=8wwV63BivcRumW4mhHwlxt56Jl0LH-HKqeu0bOvxuwI,120
deepmd/tf/cluster/__init__.py,sha256=MsTrR9VBkREzQ2mfQ37UfAezmO6b9ub6btg3wiIpoVk,544
deepmd/tf/cluster/local.py,sha256=PD3H0KgmJMgHGrFKxf9RZ9sDX1SgogzRfH59SpuJGwo,1839
deepmd/tf/common.py,sha256=O1B9cv7nBweXovrGphkmrRx9ZeoKBeVOYaugUblQ_PA,9009
deepmd/tf/descriptor/__init__.py,sha256=wtle0yEDHqlvKqkDdXB4noVDg99juOeDC5ejDVXL6SQ,941
deepmd/tf/descriptor/descriptor.py,sha256=l610qZ5B-cBJ6GQCtaKjupPQcvzGc1YpwEQtAHNaPs0,17804
deepmd/tf/descriptor/hybrid.py,sha256=EbxvjokBgYtdXeM_gTwjTsEYDRxWDelH0-odVsO_ot4,17208
deepmd/tf/descriptor/loc_frame.py,sha256=K_dU-hQQc6unkIfsUEM-oFvEjsLQe5p2LrTKQ3fCGmk,16441
deepmd/tf/descriptor/se.py,sha256=sPjd-vmNz6jQ0_won6_AbuV04lBRyvLvR_nhJXDlvZA,11490
deepmd/tf/descriptor/se_a.py,sha256=fqyLz73BWhozimaz1urfzbTrBKj6C0ydZ_XTeYvtWCI,58403
deepmd/tf/descriptor/se_a_ebd.py,sha256=el17Qhn9791rsO7piUNwLdR1vBy2k46Em7hvoaKZjOw,21622
deepmd/tf/descriptor/se_a_ebd_v2.py,sha256=g2bypxuPtg2U4bGPrG7qx6qAnD8qF7pbP6C_tpE9SFg,1747
deepmd/tf/descriptor/se_a_ef.py,sha256=Rsbi1mmFnvllNPnmR-6q3LgDs4d7fwm2sc3pqNpO4eQ,20848
deepmd/tf/descriptor/se_a_mask.py,sha256=r4xVPzXhFKDl3Z-_D6aNoH5yixewKh0nzfDNhkmRwa4,17435
deepmd/tf/descriptor/se_atten.py,sha256=wKlq1KnL4SzwOmpdPx46eF0G6mdDnMjCyqOma1JqICI,99437
deepmd/tf/descriptor/se_atten_v2.py,sha256=428QtJsYeaoakPvMZrkUUcV2yf_UmTn4cip3smbuagQ,6579
deepmd/tf/descriptor/se_r.py,sha256=e9ZBasyW0bl9NGEr9lmtV4o5qddHlsNmNab9MU2tuX0,29422
deepmd/tf/descriptor/se_t.py,sha256=mLV697mK3YqkLjauKDdnEl_IUcEkfS_Em6q2mYxLW7U,35146
deepmd/tf/entrypoints/__init__.py,sha256=Ruofk1_sjSyHgx6LZizyPG7v8YSgEkORvnlkKElMMwM,968
deepmd/tf/entrypoints/change_bias.py,sha256=dnTreTOQFhXkWNwfrBwmAhuG7kSYgfOf5R3s2O34UIU,16130
deepmd/tf/entrypoints/compress.py,sha256=edjLs0Y_IfKcDVDjWP5xWdrAX31a5-ldmcypTN-t2BU,7015
deepmd/tf/entrypoints/convert.py,sha256=BFJVNpoihLTTDl31nxYKkBrrvICF9CVS5o9XLEK2Sf4,1370
deepmd/tf/entrypoints/doc.py,sha256=Q--8j4QNZSJPv_K5YCvVYBbccaeqdIuVcDcJUSuTvAg,142
deepmd/tf/entrypoints/freeze.py,sha256=8W18JJf5DyJ4Ikl0iKSqgTe2QQmhvFVR9bKSPj-XoO4,12304
deepmd/tf/entrypoints/gui.py,sha256=6elO12z8T7SpfWOK2aFTD7fsJdHHfwb3oJa9JZVg2t8,134
deepmd/tf/entrypoints/main.py,sha256=cu6ZlGhmAxerpXGdnnAMJerAsMy_qKkWoHHhneVpE54,2784
deepmd/tf/entrypoints/neighbor_stat.py,sha256=GhVW72KiHjj9ThleMk4uLlFdQDWJOMEe60zyVqaIF5k,148
deepmd/tf/entrypoints/test.py,sha256=eHkPIjDRnaOmS1xdNBHYTyNWpc4zm-m_xgFXs6uCQ6Q,121
deepmd/tf/entrypoints/train.py,sha256=_cUkxjJWfo4NfzM4aFbDUfdNq2-NixUjgKur9C6Xkwg,9534
deepmd/tf/entrypoints/transfer.py,sha256=XLbrAzBRRSx0k7FFHV9aQbwJfIokyF1eZX1ruHyLag0,8384
deepmd/tf/env.py,sha256=HbDMdBDzzeRWd4al57ceP6wmPmqHmu-j6eW71TQRC5w,13960
deepmd/tf/fit/__init__.py,sha256=m1K8Sd5PbStGGJeqgI9xRvd9rvqQ4kB9mQq-vG4DYhc,445
deepmd/tf/fit/dipole.py,sha256=OoktXDCAUUmWD3EH1gEFG9pl73InBPuTvn6rjF-Q3Fs,19371
deepmd/tf/fit/dos.py,sha256=LXeCzfS0tN2FugYw1km0eTOxm-GF7OEFmGHB8XZcGmY,29456
deepmd/tf/fit/ener.py,sha256=U8LK5Cig885_64F2B8iYcc3jE08Ux-tLx4aGDBQQHxY,44100
deepmd/tf/fit/fitting.py,sha256=h83WtbEShszw_dI3RZsArmStQrhx5mK399mttM4lxGg,8449
deepmd/tf/fit/polar.py,sha256=Du2tJRQwOC_YHOLn8eL-SILkjfP9Z0y6ZUmyk-el7TA,35490
deepmd/tf/infer/__init__.py,sha256=y31pcUbiwR6KhNVnae8d61TAQGqT2ibQnIWYAY1jAec,765
deepmd/tf/infer/deep_dipole.py,sha256=YjHl2W3BZQIIBL3Of6jbiqpX-xgOvCCQQvAEtmny1_0,2309
deepmd/tf/infer/deep_dos.py,sha256=LOc_QG_UUGWkLbTvt_Tr-FTU0TQ-PNH_kaZQf-9KtKo,134
deepmd/tf/infer/deep_eval.py,sha256=5PxYwNeVkbiUVYl_H8lHQ6eoPyl_adH97Y8NGU4o98o,56941
deepmd/tf/infer/deep_polar.py,sha256=CBJjuvq1SApHntlEqM7b6tAIlmSJ_sXu_gx5jaag-Ns,186
deepmd/tf/infer/deep_pot.py,sha256=_SQ_vKiV4GDmXrDVMHpBp_9ffFlic_HOJH0h2yXRMdM,116
deepmd/tf/infer/deep_tensor.py,sha256=dPPoKLdsCUBbflXRyXrMOPzpzfEHE21znS8rKGDaLmA,15693
deepmd/tf/infer/deep_wfc.py,sha256=J_aZHmB9EJZdU5zEndtHDj0qzoFwdWXdo5rz43u7lLA,134
deepmd/tf/infer/ewald_recp.py,sha256=K1HPOlWQZ-gHXJbkh0TckG2UUxtNoEaltmV_UUo0lZI,2766
deepmd/tf/infer/model_devi.py,sha256=qSGJyMgAeUgi3TP1-3kneY3Joxq-CjadiZZVIlcGDMU,404
deepmd/tf/loggers/__init__.py,sha256=9O6scqN_7urkV4l_CnCGdT9bGFokTwh-fbvzUwK2kSw,203
deepmd/tf/loggers/loggers.py,sha256=e1JJ_yH9RAIebEsvOeBFpQ5WpMX2DrimUwbQu-fixtk,211
deepmd/tf/loss/__init__.py,sha256=FQZa970Ko0orTZDL12N83NhR7uHQ9JLUjkzOWZPUwtw,325
deepmd/tf/loss/dos.py,sha256=HNo3zQj7LuIrqvevXrtCcb2u08tJPJIUxygwyRECGFA,8495
deepmd/tf/loss/ener.py,sha256=VFNXtnZtXd7hZ5FSdDN8iIJwgG5spoEVFOVWzXIA4pg,39922
deepmd/tf/loss/loss.py,sha256=cil7OTXY_KKqJnjGAj48XE1ZXVRhVvJy0_t73pJRs_k,3808
deepmd/tf/loss/tensor.py,sha256=DQSgjVg0Ko6cvnHe0sxosC7qg_8c_6wqMepWoH3uiTk,7062
deepmd/tf/model/__init__.py,sha256=3EkeZ8fC5eCBDnUil8HmI-O2EHreCibv0-s1akqplQ4,699
deepmd/tf/model/dos.py,sha256=WwIIS9olnTYdJf-eNtwc_4H5GlqWJhdf9Cp3Juyp9B0,7733
deepmd/tf/model/ener.py,sha256=fnoVPMrKD4CCUPMjg9n0BaSAmL4D5LRNg_Mfon2hWh4,19845
deepmd/tf/model/frozen.py,sha256=dDAahZtuBYMArNqMakTeqydRL1l3KpV6B-toXnOhW5s,9736
deepmd/tf/model/linear.py,sha256=w8NBse8E5C3wWvijlZKsDgyy9APFYoKbevGcFZmnsIc,9868
deepmd/tf/model/model.py,sha256=Ux5MbB0o3FDVBUnLt7jqcCiWJwech-zu0jxNiLUeEGU,37699
deepmd/tf/model/model_stat.py,sha256=CYwHu5zCxCSLp7kaO80tkD46QsKMmUfyre4wFzTePpE,308
deepmd/tf/model/pairtab.py,sha256=ejS1KhfoV1HcO459aV94dLJ0KxbVfZWSt4NEVLpDJ2k,9693
deepmd/tf/model/pairwise_dprc.py,sha256=KYFXqhfpQVnD9XZbUCHDk_IuLOz-jRUTlIJdNgjkmH0,15923
deepmd/tf/model/tensor.py,sha256=IyvxZY73IQz2rW39rPtLeBlw4v5k9_YKtZrsY3xdInc,10185
deepmd/tf/modifier/__init__.py,sha256=lhW4U1d96kNWlxYm8gor8YA_M4e-nOkR-_V-K6eJlgU,226
deepmd/tf/modifier/base_modifier.py,sha256=m16VzE7cHXjGDeqBjmEmDFBC1_XNuBWqWYJlF163yUQ,390
deepmd/tf/modifier/dipole_charge.py,sha256=JMFm8fP9trBO-SRrM-6WxKBESAgcXgs-MZPj0t94pTY,17962
deepmd/tf/nvnmd/__init__.py,sha256=akoyvTvd5-tE5-vAnyGbMRsSRIeK4Xyd77Jgzx6l0aI,230
deepmd/tf/nvnmd/data/__init__.py,sha256=a-tu6pEBxH5c7cGOXDya17PZ9FBhY3sUcrof9nBuXCY,1050
deepmd/tf/nvnmd/data/data.py,sha256=jlxn3AMFuvlZeJJWMxl38Ar-XMDhmIq_Jl9AD9b4DrA,11322
deepmd/tf/nvnmd/descriptor/__init__.py,sha256=W4AL4ckaAhgbt_IF2TXKXwCa866IpVOpUod9lx4-PGE,216
deepmd/tf/nvnmd/descriptor/se_a.py,sha256=bKfxXTkE0Q6IMgmpPvdbsYnFhGe5bzXoTVJ8rZRci20,12987
deepmd/tf/nvnmd/descriptor/se_atten.py,sha256=eiq8xpgZU7tR00scPyXRVkPev4jW4fHYcDV0rI7uTR4,11750
deepmd/tf/nvnmd/entrypoints/__init__.py,sha256=VPAcqIeG1UUutztRUHYGl3bt0_NijmYwh8vpG6ZtKZ8,213
deepmd/tf/nvnmd/entrypoints/freeze.py,sha256=t5K9En7lFePV-ZfuH5Ly8-6TOnqOqGF1f-KYYsGaM4g,2906
deepmd/tf/nvnmd/entrypoints/mapt.py,sha256=KhPVwQFc2YgcaK6K_q90Il3mcUxR-lIzbrrYgIeu-qE,23332
deepmd/tf/nvnmd/entrypoints/train.py,sha256=Zb8tV-Z1u_ygsqikcfAsdoEJ6111TVOjdAankBHQQvY,6496
deepmd/tf/nvnmd/entrypoints/wrap.py,sha256=e1bfCGZeljHKIrZyGUj9baLyKtPUpACgQUVyJuvxqPQ,22254
deepmd/tf/nvnmd/fit/__init__.py,sha256=Mj7wBr5dCGHZ4O3EJk6kliz1wlEDtFc-gMY69s8DyLQ,160
deepmd/tf/nvnmd/fit/ener.py,sha256=Wy3eUOHeZZjhWGVWsIPuaO2QXekRdRIGKCRrvGCANrI,359
deepmd/tf/nvnmd/utils/__init__.py,sha256=mZ7FVfdWQ5WzKmiEgEKQihT1f1zpa7g0Jph2lQJdsL8,592
deepmd/tf/nvnmd/utils/argcheck.py,sha256=eFODec1iNmsfrMGHHPMFxY92vqco78eM2niTpWX_pS4,189
deepmd/tf/nvnmd/utils/config.py,sha256=fecuHEtJbYX2YjdA1tVvPTFtXssHLt6iDyZ2vQzRB34,16090
deepmd/tf/nvnmd/utils/encode.py,sha256=pxgcz5st-rarHTI3w0clK5wnoe6_9YCU2lhvI-0_jDA,8032
deepmd/tf/nvnmd/utils/fio.py,sha256=0Rv62st4iGC-L0zfmpjGsTDuiic9OHE-EAsXJ_xH8ZQ,6400
deepmd/tf/nvnmd/utils/network.py,sha256=5iOMtcxgJ1xRmiH0sT3_9QMFKepLECMK83ah0a_98cs,8872
deepmd/tf/nvnmd/utils/op.py,sha256=gV7x6bukhVN18s1llfPlael1kEnUN2GsEYBLewAWzLM,541
deepmd/tf/nvnmd/utils/weight.py,sha256=S9g2jYYfeLKk3mrCxlKRUprQMzkVOMm6K4U_Jwp9nWw,5133
deepmd/tf/op/__init__.py,sha256=BIq5BFLg1JQCTc5CQPhFKYSIaS1VmxWbs3etCbFHAy8,842
deepmd/tf/op/_add_flt_nvnmd_grad.py,sha256=TKjN76ElQpKGteDjheQg6YMFRWVlXGjFe7Ys7O-X-90,323
deepmd/tf/op/_copy_flt_nvnmd_grad.py,sha256=HrkyVuQ4I2I83Vc4Q7iDendW7AGd0T0tZH6wr7g5f4I,328
deepmd/tf/op/_dotmul_flt_nvnmd_grad.py,sha256=pvroaATtnzu9sEGEIScmrgF0iITvQdnkz5FFCFLvNqc,710
deepmd/tf/op/_flt_nvnmd_grad.py,sha256=KN29hswoh3Z5KtvwaG1EeYcoBqIru-n9AIg_2_UTzqc,300
deepmd/tf/op/_gelu.py,sha256=ry4VhRs0_KtbmyqkRjuS6vQPlUYOD4c2e866DYf5Y28,1061
deepmd/tf/op/_map_flt_nvnmd_grad.py,sha256=TSC8WuXQky_h8eK4yNyn_u_OovWfAKlNSuRaYx7BUgU,986
deepmd/tf/op/_matmul_fitnet_nvnmd_grad.py,sha256=in51rHOeFHP2Y-0fW9rV4i4zCUBAT2i7zIHb2IsOgiU,568
deepmd/tf/op/_matmul_flt2fix_nvnmd.py,sha256=yBW5UVFxIaSWn01ISU3xc8vAKIxWB-XnmK65KjYPOes,1054
deepmd/tf/op/_matmul_flt_nvnmd_grad.py,sha256=BS4ln3xq2tshUUxK9kwAsYfxyogEmIsQYH6l-wLjHs4,1302
deepmd/tf/op/_mul_flt_nvnmd_grad.py,sha256=5wS5iyBU6BR-_Zd0Yu7zzWb4lZ4_UrLC8BQC9ox8NxE,907
deepmd/tf/op/_prod_force_grad.py,sha256=1x7RQNsQJnUuh3L6RtuoaXc8mrih92MxGtmn7yIkf1c,608
deepmd/tf/op/_prod_force_se_a_grad.py,sha256=E5R85L1G1F0ctPnqMdyrCyX3-meYWEcrgTEjds4i774,592
deepmd/tf/op/_prod_force_se_a_mask_grad.py,sha256=l6qhAKB2GuM_uTuEDTbB6qBEhIfGN5Rl5BpAsIHUasQ,589
deepmd/tf/op/_prod_force_se_r_grad.py,sha256=KyRQzM8_hCYONq7adc0hlPrUywBZJXYlFIEfaxy40RQ,473
deepmd/tf/op/_prod_virial_grad.py,sha256=8Nl3wD1MnwO_hX3NvsO5C3PVZdd9Mw1CG3oioPY_kt0,652
deepmd/tf/op/_prod_virial_se_a_grad.py,sha256=3mAySSQW4As8zP-J9iWeue1XW7O4Vwr-sMY3QWfqlm4,636
deepmd/tf/op/_prod_virial_se_r_grad.py,sha256=-0X22T1cA_kKnXsh2L0soMY5rbp7Zp6ym78FNsntwoc,508
deepmd/tf/op/_quantize_nvnmd_grad.py,sha256=T_9A_-MuUf4socDfXiOJPgSAm0SxhlpUt7LPIVlodsE,483
deepmd/tf/op/_soft_min_force_grad.py,sha256=LcgiJbh_CEUo6iPJQX3oaPISP0Ebw4RfFKfPiifIIww,594
deepmd/tf/op/_soft_min_virial_grad.py,sha256=PMw197aqRRS7U0E38Ah2ajSk7G7OH263uVrS34TDDk0,638
deepmd/tf/op/_tabulate_grad.py,sha256=X3K2WWz1QW6hX6vMaWOcbnx1FSvF2AvH3J1griGjg4M,3069
deepmd/tf/op/_tanh4_flt_nvnmd_grad.py,sha256=qw2McXuBRJsLizyFzKPPHBUhfiQSAMW_gwhYfscp1sk,1112
deepmd/tf/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/tf/train/run_options.py,sha256=4y-5oVzsKiGCdSDffJgYwe2-8cs3Ni2_XdSVUbkl_2s,7727
deepmd/tf/train/trainer.py,sha256=yI7bpxMzgw7QGpmNlHyJhJGYSe_6-HOZgNNXnu8DAN4,38821
deepmd/tf/utils/__init__.py,sha256=1ehP_AfNzayut9yWIz2GBamsWln8D9JQRoHt3JN_IeA,439
deepmd/tf/utils/argcheck.py,sha256=9B-YL1doCu83uNl3VEFov_u26pGihtbhw-sIG_3LrZY,367
deepmd/tf/utils/batch_size.py,sha256=_pq_wlMI7hvYRj8c9zTp7e29fE7xPhA4uJ6lI_RtdF0,1797
deepmd/tf/utils/compat.py,sha256=uRnaBD1BdPWcW5fFUl3X721LRAnJCVimXpMA6K3XM1I,361
deepmd/tf/utils/compress.py,sha256=LjTuwzXmJsjjGZZtv52Ev83dieXsH6Bfp7fMpgvKQgw,3541
deepmd/tf/utils/convert.py,sha256=6_kHIoAEyu6oUixVzZtiz2SzLe7EXTV1vzMHAUc2WOE,12930
deepmd/tf/utils/data.py,sha256=AFycVlo5fy2AMqjI3xBNnfbAj86iGZ6uWKSSUM_O-bg,179
deepmd/tf/utils/data_system.py,sha256=i9Len_Xo9hCD2G0ERPEwQYsrt45eqr9_10qtCjZDoQU,298
deepmd/tf/utils/errors.py,sha256=CCaetqZPZpW9lutd37ABvTX0KKETCLm6HC5-YF4iOJQ,385
deepmd/tf/utils/finetune.py,sha256=U9vTDu88UZzMdIIhnhi100y-VTJ3IUYsGBjzh4x7lcU,4203
deepmd/tf/utils/graph.py,sha256=k9F1skSbSxjtf2uIQj6N8bPYIZSOxG0vAUjjz_o5x7I,14918
deepmd/tf/utils/learning_rate.py,sha256=sxbKn-hsU76ZWceawBpUryN4yWeAYDR6m7mAMBtuw5s,3335
deepmd/tf/utils/neighbor_stat.py,sha256=WTrVWWdWjP71iQUSd5SDLjsd5Ko9PhP8d-ejFeQpCAI,8799
deepmd/tf/utils/network.py,sha256=fviDLIxzuBcrhAfYs3yLvVOtcX9Qql6v4g0yB0FRajA,14470
deepmd/tf/utils/nlist.py,sha256=0EbLWwiWoVcqsNcrY6O2jmCb5l3PwlemQsIX6RRQNpc,3638
deepmd/tf/utils/pair_tab.py,sha256=XWGQpDFeX5SnQnqpgn4KPcAREbcN_YQNOA4ftxKXjrg,177
deepmd/tf/utils/parallel_op.py,sha256=mUH8DSgiWn9DclCn6cV5wm6rAOdhpkhRjCZRyiomUNI,2920
deepmd/tf/utils/path.py,sha256=2uAPceV2XVAjoqCuTMdVYLnlzwOWmqXeTXIOPl2v5QQ,235
deepmd/tf/utils/plugin.py,sha256=0xTk6YDo19wTwD3al7_-38gRs_FelGTpI4hg7uw2TBM,297
deepmd/tf/utils/random.py,sha256=LX2EnWhK4zNjpeHHcVDjlBOj7hCqFS3L9PyOgZBVzeQ,255
deepmd/tf/utils/region.py,sha256=KRz1l8msL5Ryb5e5M663pJxUR1aJ-gQSqkC3et2gqEU,1144
deepmd/tf/utils/serialization.py,sha256=2sc5p2L-HfKY-62gdGQtHs296-DN4GtdcJ4w7e2y7nk,4116
deepmd/tf/utils/sess.py,sha256=mdR9wzqAXOtS_ohSNFP-EChXPHId0ZyC1jSWMlU0rfs,1667
deepmd/tf/utils/spin.py,sha256=jxMNztWDgkJOZPLIIeaqHLZi9uB6NdTreoXFB_hsWEQ,2640
deepmd/tf/utils/tabulate.py,sha256=PY4XzP9MgFNP26rSthaAPg7aimKJs9xsfDYWnhZULD4,23575
deepmd/tf/utils/type_embed.py,sha256=9Wpi-JhW-3P6Q7LXxvqjTLuVg09oVP0FD6YRPh78gsE,12248
deepmd/tf/utils/update_sel.py,sha256=hbOdqgqIvJCwC56kPU6E3wBAcbVHrdsgx0U8kOriTuQ,310
deepmd/tf/utils/weight_avg.py,sha256=pyq4HF0qiJ4V-9BdigGa3q_KmQavFJia1ZyQOYpvGrA,197
deepmd/utils/__init__.py,sha256=YvK0edmbs_HbE8ugiJrEob35mJZY9SgldVkhzCar46o,126
deepmd/utils/argcheck.py,sha256=Ojy4bbFhrhpMypJvtUt-XjilvksLnQPJS58d8EkI3Nw,160263
deepmd/utils/argcheck_nvnmd.py,sha256=955CYnwsrBeLBWcpFjDud39K_sVYBqoGS2ynVvhrm8A,2757
deepmd/utils/batch_size.py,sha256=CjfKf4dcih0F06nZgHS31wSaY0yYgbxnOQ3f0t8HxQA,9843
deepmd/utils/compat.py,sha256=Sc46WYIdyT9ry45noAgH7No6PTnrAGa5Zsv6iDx5E08,11310
deepmd/utils/data.py,sha256=wZJi5ksKM5lOn5uUeMtcXAtUOOs8JFjx8FRlZ_Xz57E,44039
deepmd/utils/data_system.py,sha256=kn5CkU5rXHV_BHo6wUZKRYbQxjZEPDmxYmRtQcFf4E4,32416
deepmd/utils/econf_embd.py,sha256=6ehmDiRxne3Qsj1e10kXwnJRAcCIU1iGY7VJIRpFKTo,47441
deepmd/utils/entry_point.py,sha256=cEqsjNAQljULnExNPelbY2fN_--R_9gOVpAoU1Z9ctU,592
deepmd/utils/env_mat_stat.py,sha256=YTe6ZT0eqWtvro_RlaXJmSf8aLqVxIMssfvKhOOBzs0,6948
deepmd/utils/errors.py,sha256=hNSPjmO4BljKl1VS7eD7yFyhi5GYD9Wq_pqsuocnf9Q,138
deepmd/utils/finetune.py,sha256=DFUppIZZsfp8ReqE4Hv1F2EYc63XRmSD95gZOB1Gv2E,5808
deepmd/utils/hostlist.py,sha256=1fzPSxXapM4LmYwJOCyQ9sL7ugdQLiHRR0yzwOrnhe8,801
deepmd/utils/model_branch_dict.py,sha256=UKOfUFj3PjRhdwK7KftLdlMxj0UQ3lbQz2UNnz5c7vM,12172
deepmd/utils/model_stat.py,sha256=_o66RGwlslTbRwK4ozIv3_p1MBm5h59aXG3ndLIlgkQ,2219
deepmd/utils/neighbor_stat.py,sha256=-Y3bzXddTva5wfH8c0V5bShL-zOX0SrLOekkurxrZGc,3412
deepmd/utils/out_stat.py,sha256=beJs5fvCxk4_VrTWTCt-5NdZZLy7R5bjJu1CjlLhRKE,7143
deepmd/utils/pair_tab.py,sha256=JkrlCprQYzRs6HzzuBbQ7C-fsnpK6nko2pNBRcHMCDM,11866
deepmd/utils/path.py,sha256=YB8_li_bz4Tlm4fLmHuewav9EcWEM0ICTQA8w7PILzM,13522
deepmd/utils/plugin.py,sha256=dlZvXax8Wk4lwk2L1T7K8y-woGqQFgrYuYCCtuvnboA,4076
deepmd/utils/random.py,sha256=Wsy3ZmNNkZNo5ywh6iJDXNfpaGVlkwWGUXsLN1h9UFY,2269
deepmd/utils/spin.py,sha256=RdVSW99itGCG7aGMiF_hj7-VD-yYQ56AvgFpDNxjoO8,8781
deepmd/utils/summary.py,sha256=Yl3FawJT-BQ-_RNHYxw5RUjkg0qVuQgz3Bls0M6Edns,4458
deepmd/utils/tabulate.py,sha256=RfCoGyeJkDeYIGdoslYDuej5s6wMMNMxFx3nUr0PsfE,18465
deepmd/utils/update_sel.py,sha256=rvg1csR6LnQq8pKnlXI1M5XmuwJckT1gkdA6kRgeYwA,4358
deepmd/utils/version.py,sha256=wEg8ff-JWaPMEdQmnpRssWR5lmOvI94_lliDDv4qJVo,970
deepmd/utils/weight_avg.py,sha256=60Rqbv4AsuvDVeCwkvA6vO7JDeo1HE_SZrayfSMrdg0,1348
deepmd_kit-3.1.2.dist-info/METADATA,sha256=BWG8UpWia95_Igv0rZHPshAwT3hx4LdwUxmBtOsFeOc,25037
deepmd_kit-3.1.2.dist-info/WHEEL,sha256=3tMM5aHx9IjMiUxbVEzVeOLu-2SwJIOLTMrTcJoGdzc,104
deepmd_kit-3.1.2.dist-info/entry_points.txt,sha256=dXr9x-lqsMRfjFotoclFDcjq_c1VHkQxybsSNpeHqEw,278
deepmd_kit-3.1.2.dist-info/licenses/LICENSE,sha256=fTqV5eBpeAZO0_jit8j4Ref9ikBSlHJ8xwj5TLg7gFk,7817
deepmd_kit-3.1.2.dist-info/RECORD,,
