deepmd/.gitignore,sha256=piBeTEfzk2_Z8V-_uq1oOin_BzTFarVK0hOZvAxy8Zg,28
deepmd/__init__.py,sha256=MAbtlCnQY9c7KCBmW6uj5tqUEILN8Cx028EaF1ddf7g,999
deepmd/__main__.py,sha256=FuNk-VxfJ8DPi9_37DSdbp6MnEzRXd_XJ0z8AGIx_mw,162
deepmd/_version.py,sha256=66Y28uiaDLQB1-KJpj5RDNDIHNWaUoVkaPIjUeQWrgM,21
deepmd/backend/__init__.py,sha256=Xr4ECxdZmj_zdxvik5r1x2onuzQGbaPeshEn4JQ6Gto,796
deepmd/backend/backend.py,sha256=tEYb1e38KCP81p7pfRAsfsJ2Ch4ng9Q5sk5ErnZQg-M,5133
deepmd/backend/dpmodel.py,sha256=WUiijN49lHy5BXHvGgvla9YrSGXFALnwCmtl8oibxvM,3110
deepmd/backend/pytorch.py,sha256=XCv7qBSc1GgpA41R_hSre9EEIgkqhI7LL_FnXV2a9XM,3168
deepmd/backend/suffix.py,sha256=nUhomspOF5O3gJcbfUbEhlW_JACG5UYJatMh1BJCzOk,2714
deepmd/backend/tensorflow.py,sha256=_56sRSMqFcpZ6swLa4PJKMgULSpBj3lI8QkC3ocx9Hg,3426
deepmd/calculator.py,sha256=m-4PUhpWRawbNs2viojeD6H2gpvWg7oU84NsSrEAAwE,4475
deepmd/common.py,sha256=wj_C1pps8cSt1b6SmijSmZU0H3NPq2uquCnRXgtOxUA,7429
deepmd/dpmodel/__init__.py,sha256=FBtsYU2DPmV81oHOJCKZemXlgDTErM6mGuiU8T04VOM,701
deepmd/dpmodel/array_api.py,sha256=FZbUe0vodJG9He7QdEP8VHHVRPSuGlCYQhWC1TPEeOI,642
deepmd/dpmodel/atomic_model/__init__.py,sha256=WreV0m996uaTDSCm6UaD_eV7xyjvcVSkPP79N3RINhU,1115
deepmd/dpmodel/atomic_model/base_atomic_model.py,sha256=0xtFUxAgnA4-aM5sI0XZsMAWVtoGOOSECRr1jJXtfq8,10260
deepmd/dpmodel/atomic_model/dp_atomic_model.py,sha256=iv12JXWdyzt1jaPM6T6uVtZNHylUFmLxZ5Oe5Lo29xs,6375
deepmd/dpmodel/atomic_model/linear_atomic_model.py,sha256=ijt3CCIbkqUcRVjj5TAqmCcC0QkXXjnlT9HJ1lk-ywc,15688
deepmd/dpmodel/atomic_model/make_base_atomic_model.py,sha256=9bl8klPLW2AlYMtEGdTeufB6C-gikIXPqj-pkvhT1CE,6954
deepmd/dpmodel/atomic_model/pairtab_atomic_model.py,sha256=ZaUGmWu6erlS5ejXFVrGvpZVxMqCBUSiDFPGHa_H2qA,14166
deepmd/dpmodel/common.py,sha256=kjorhutFjDy-qLw05G-sQFnpBpQ3jdmSvne3DJ4Kur0,1761
deepmd/dpmodel/descriptor/__init__.py,sha256=f3FIUfR0qxYE--eIueJ82lT5MfaqTFFnSeURdE2eUUg,614
deepmd/dpmodel/descriptor/base_descriptor.py,sha256=L53kfAp4AjrLjaFRk0yQepH6iZTX9m95npA4Xdf_KEs,198
deepmd/dpmodel/descriptor/descriptor.py,sha256=1bzl-nwU1c0iGyIisc2VDrIfXt8_am1saT0Y5gja8mI,5645
deepmd/dpmodel/descriptor/dpa1.py,sha256=WWCOyFfTMW_AGxtrIRnrSprDP4WvjqWoKGlfuAEpqyE,48617
deepmd/dpmodel/descriptor/dpa2.py,sha256=RMBWWQzJ_6QvM86pCZdahcr38mwxk5DuN3Gtn3Z_-aY,34190
deepmd/dpmodel/descriptor/hybrid.py,sha256=CDUt0pdaU66_2fGzrnBHTLE4VD--Y8xUXfbocZ-4Bzs,12568
deepmd/dpmodel/descriptor/make_base_descriptor.py,sha256=SuzRAy76eynccpK0qmrxRoOUo9_AHu2gWU3rH6MtWZE,6627
deepmd/dpmodel/descriptor/repformers.py,sha256=0b55S3pBNRdTHnWe0KdYz3v4apRSLi2hktGjoSPFaoE,60305
deepmd/dpmodel/descriptor/se_atten_v2.py,sha256=Y7ctSn0D4kio-_7x_KaTTWUjhE7uiyflf5OuYrpw7hA,6174
deepmd/dpmodel/descriptor/se_e2_a.py,sha256=avraJvXU_QHU72mhzjL8wujDKAuEaQ2T8FLFj_RTRUA,18047
deepmd/dpmodel/descriptor/se_r.py,sha256=YmmIx0bXVhEoxNmBW4p9OOXniHRUFwMDNGq6DwRZdR4,14676
deepmd/dpmodel/descriptor/se_t.py,sha256=sMZVyb2hbFioTetAJawR7T2LPZnVL6sVYEMUFqFZdFk,15176
deepmd/dpmodel/fitting/__init__.py,sha256=fkUu50nclLjfTjfiXd1NSR3EknhJBK2wzE8YFQlEzpk,535
deepmd/dpmodel/fitting/base_fitting.py,sha256=S7KbnHDJjNyqe9k_nVKVX2l4PVIr6im3lY0vIc4CjqM,200
deepmd/dpmodel/fitting/dipole_fitting.py,sha256=n31L4JBKn9Alik2_NrdjwTwCJgy_8kexi6fgBcijTFA,8265
deepmd/dpmodel/fitting/dos_fitting.py,sha256=3k0Ob-6Le6Wy0s6AYyRjs7KfiqfjYzqV2H0455jR1wk,2776
deepmd/dpmodel/fitting/ener_fitting.py,sha256=xciNWp67ac4Y12iBn98IPKj_ePo7YJdqJcPFvxGxyBI,2586
deepmd/dpmodel/fitting/general_fitting.py,sha256=QkTzOG4r6QD-8oolgJhE2RlzHQIUZhnuPiHRIG1sLk4,16960
deepmd/dpmodel/fitting/invar_fitting.py,sha256=ejWD84W-OQickcWLcm3dzVjfms1VKUImS_twRWfuJDw,9276
deepmd/dpmodel/fitting/make_base_fitting.py,sha256=jjx79TGnP5hqo1wcHZXwcLvsbx4VqHujCyh0aEvNP5Q,3176
deepmd/dpmodel/fitting/polarizability_fitting.py,sha256=Um7QG6MnnsyNjueGDqHo7Jaqk47APZhHT5OvrKLkJs8,12115
deepmd/dpmodel/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/dpmodel/infer/deep_eval.py,sha256=75vWvu4AmWnzDY7kBxNh7Vp284lMv3Hli--M1hAVMiw,12235
deepmd/dpmodel/model/__init__.py,sha256=K2RE2pHVfFwOvYHCZx1Oa249VaOMLjt-He65PMBIefc,899
deepmd/dpmodel/model/base_model.py,sha256=WJb0a-g5vIvGdyHkkb4l4_PnrRGF6r3_vBMRJkwMMts,7184
deepmd/dpmodel/model/dp_model.py,sha256=H8Ex4vG_xvsLd92fHPu9o-r90kSOg3JCWjb8kb2rYCk,1333
deepmd/dpmodel/model/ener_model.py,sha256=8fjvDlILevpzZ-OrBkxybrOAE_RTZFQZa7-9zbKiO6k,592
deepmd/dpmodel/model/make_model.py,sha256=aWb_779X-KxscS-7X4T1k25B7CjWJO2rYUp_Smubkb8,18125
deepmd/dpmodel/model/model.py,sha256=X_5NQHd4QSI5AOkd2ldF1v4pjYHjYnrfucrGltGgg8g,3128
deepmd/dpmodel/model/spin_model.py,sha256=OaUYU1deDvQkBCi9NE91s9nNim4-6mzo8yZVVDgCnqw,16975
deepmd/dpmodel/model/transform_output.py,sha256=jHxE5Jy3YHo7T1atisnKTl75Rbvx5hQC-zaLgfBAsF8,2645
deepmd/dpmodel/output_def.py,sha256=Nv_-JkPgSqHJYsZI8sRWoUoJUNP3e_IZmsfkg8b2s0Y,17270
deepmd/dpmodel/utils/__init__.py,sha256=rlsoygUQwSANjAmIct5-1JEdd9y4tFfUfBxC4PWyKJc,1346
deepmd/dpmodel/utils/batch_size.py,sha256=UshS4QIjv-Rq5LCtJFASpXw6cKZtB06Ka1whg85q3zw,704
deepmd/dpmodel/utils/env_mat.py,sha256=lMrPVDHkemvKyjocf6d6J65I4KZDn_TAw3rxGsnnelU,4638
deepmd/dpmodel/utils/exclude_mask.py,sha256=HVBJqjZGilx1yNJvwYF13KbatPCz4KmeErxOV2FHTdY,3864
deepmd/dpmodel/utils/neighbor_stat.py,sha256=74Xg3DWst5DjMGddON4Is-MITmNY3NQfo7-V-dVUGS8,4585
deepmd/dpmodel/utils/network.py,sha256=1xFe9TL3BMDZn8QITiccyLl8dNO1crZKo6SSw5SC_Jc,26538
deepmd/dpmodel/utils/nlist.py,sha256=xje4vHLYYsf3ONhl3uhIk234rc4-fYl9xu5dVxuE3ZA,9956
deepmd/dpmodel/utils/region.py,sha256=opF5qC0nP0EOgwLcv4UbYEOo-7hFU75BgExnN6hoTlE,2545
deepmd/dpmodel/utils/seed.py,sha256=4ffXxffxXavI3Z7rQUQRaflTdb_MX-EBQ-sI4gO1NZ4,972
deepmd/dpmodel/utils/serialization.py,sha256=H6XE-HamH4PbP8q5Y8svFv9AcqCH8q6BFmGVmphFqLM,2981
deepmd/dpmodel/utils/type_embed.py,sha256=5EI3ZHZh55g7WqVeF9HBRZuSh3Kk4tBjdyolf9M_rg8,8146
deepmd/dpmodel/utils/update_sel.py,sha256=SlH5vfRRyv9ctTlc19fZpE2NEy61Y7mcVmuyGebf_Yw,351
deepmd/driver.py,sha256=E5ZsyNWaV3X5erWhF_Ta79nW6FXy4w9V4ZPTaZjpvs8,2581
deepmd/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/entrypoints/convert_backend.py,sha256=cN0mCMgVYSaPhcwBradN_DlmDrpkgjLkethVCjGkHE8,712
deepmd/entrypoints/doc.py,sha256=n4hi3JhOdvI57Favb2cfJW15FqJHqsGzUy6qG9b0_bA,666
deepmd/entrypoints/gui.py,sha256=Bdz4tMREO2v4VEzbr7hYG5_5RyI37c86QX-uIASSn9Y,861
deepmd/entrypoints/main.py,sha256=aAcoenaOaVcs9VMpyKjvfsoyc6_Ee_Jwux5wrN2s1W0,2296
deepmd/entrypoints/neighbor_stat.py,sha256=E6a1trTuUPIetQlzTFXnCiF6YiY5TZUG6royE3WI3OM,2420
deepmd/entrypoints/test.py,sha256=YdPjXgeCQIdAvBFB5_iuBHmaaXFc7xH5wZJZ3IqiBfY,34227
deepmd/env.py,sha256=CuQW7Dvi8fN-e4RvwGMq7mYoXzw0mrdZYQ3a1AJhvDc,4665
deepmd/infer/__init__.py,sha256=Z_tyc_BUU2NhAdidzCOS_Snr1BYfTEu9Q1uWG_vRkyc,632
deepmd/infer/deep_dipole.py,sha256=lZ8JFKjNBueipLdvtf-61Svc5pkt7rvlin9lXil6Oag,853
deepmd/infer/deep_dos.py,sha256=ceiOBbqgjVMFivItvOqkgyWRBgd88--JHfInPCeZgi4,4580
deepmd/infer/deep_eval.py,sha256=EDiPZDrkIO5ZM5A_f2VXe912o4TN8Se59NjXUMIplF4,18789
deepmd/infer/deep_polar.py,sha256=p-FLIykOnpFQPkoYr3bfhGSkzvuwe9nJg4DAWNYHSIo,3628
deepmd/infer/deep_pot.py,sha256=E5kal1S40W2LM5Y1TLesUtXBw9e05NxBGQRBph2mbsc,7956
deepmd/infer/deep_tensor.py,sha256=QRg42u0d_DEUDQs_EabxBtwE5sDM2t0tQ75SXmaHzlM,8169
deepmd/infer/deep_wfc.py,sha256=q3SrgTT7eoylRqLZzHep_Bc0KCpfh15GTmCLn12UnnY,1596
deepmd/infer/model_devi.py,sha256=HU2pxfaevHgbu1ousR7g2r4gYg2eyUnNWY-qR49PD1M,16450
deepmd/lib/__init__.py,sha256=3LningOjkZlld-49ThLVa-1yXGdRkAJr6aypIotqOC0,80
deepmd/lib/deepmd.dll,sha256=T-2MNpXExPJHD57LKMRUpUcQBi1oQ9TX_ut8zVznlKA,259584
deepmd/lib/deepmd.lib,sha256=XFW9c3cgRKrimPQbP8ftEGiT7x-vqNLxHFDPRNBWEcs,217042
deepmd/lib/deepmd_op.dll,sha256=WLYgl-TYwvvQx2b_CvAbNSPwX2nQQmGK9dX9negkeZM,826368
deepmd/lib/deepmd_op_pt.dll,sha256=CCjEGEHGgY2Hk3Nw0KXsvmR4p9qklRIfBKrfA9dYzHg,228864
deepmd/lib/op_grads.dll,sha256=sneEE8OvNJbftYindvB5YaHFwzH84_QROHkngUvyoQE,161280
deepmd/lib/run_config.ini,sha256=k0nOoMnMxPEYtPJZ_uNt-mlCNsLIUQdRd_IK5rZhMYo,860
deepmd/loggers/__init__.py,sha256=EE8z8LRK1mRqDt7OkMcIM1Yml6VaQW_pwjeZbAkNh-E,175
deepmd/loggers/loggers.py,sha256=-LS_XSan7zhko6vybjPMjiQd-KWhjnitpKhLbBuQIEw,9133
deepmd/loggers/training.py,sha256=E-qYneyoqnlzEbh5aUVBW9uKKBHgeWl1c4NInHk3Q2A,797
deepmd/main.py,sha256=ahZ8FMs2c3GGICu2j1bhkiHdh80XgG20h5Z4dur4f3U,30369
deepmd/pt/__init__.py,sha256=jDcVfFWqzzj88a_jsea75OFWlir40k1TxGZa-4bsvIE,191
deepmd/pt/cxx_op.py,sha256=FM8op9V8YhWtViJthPlnM0CzGCkxQasPaDMBcCOhBPw,3618
deepmd/pt/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/entrypoints/main.py,sha256=gD-2pxam2JupxQ8dN83ok2M2BhcV5e_ngI3RXzx3dmA,19566
deepmd/pt/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/infer/deep_eval.py,sha256=xrrI7dWwgLZMWnSyxOSuEfsJHyFZuMk2UyTov7CUEos,27172
deepmd/pt/infer/inference.py,sha256=pWfZ5X_tl2GD6esMA4c_QxquIEB8tsNip1jgkeqLixc,2053
deepmd/pt/loss/__init__.py,sha256=Hc9LZNlBKyjRg1J8vTg2u2J1cX4FqPsYwD6po03xRgs,439
deepmd/pt/loss/denoise.py,sha256=ZEfbbK_vq94QqugMk05PcLcok_mPHZkGTiRP7gxTXT4,4094
deepmd/pt/loss/dos.py,sha256=Tpa-9r0MEjw4ZSpr4R2kO5Ef6DjWccgwaQ6ud6bAlUc,10548
deepmd/pt/loss/ener.py,sha256=BpVDH06DMxfq8KkVAgQj1kMKqV5cP7z-4ebJejcBoKs,17957
deepmd/pt/loss/ener_spin.py,sha256=PPR3C440cw2nU_acjaP1l66mW2t-2gWViUzUUeG7-3c,14260
deepmd/pt/loss/loss.py,sha256=NS-5Um5Y93gI24rGxSgH0SSC2tXAbnab5KFZ3r3qsH8,1096
deepmd/pt/loss/tensor.py,sha256=rJT2IrlBIFLBhaiYb8mM3ILiHzjv8xtaowNIpmpEQ4c,6739
deepmd/pt/model/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/atomic_model/__init__.py,sha256=Y_cXne2sWLJ9ly4kLvmqEG4Dvg-kVy48DtGZGefGaPM,1373
deepmd/pt/model/atomic_model/base_atomic_model.py,sha256=wGrFdolmU1pUdDARNzemL_542zG6rdoeQlt6SLyvFw8,20760
deepmd/pt/model/atomic_model/dipole_atomic_model.py,sha256=jX66cesz6LaJDXG6cwhzbhiNLaFRyQ_XTSxOvDEvGTk,635
deepmd/pt/model/atomic_model/dos_atomic_model.py,sha256=pOSaGxsydlroBmqDAAbz4TNj1yThI2SCqzuBqcRCq5s,394
deepmd/pt/model/atomic_model/dp_atomic_model.py,sha256=07_RoXpi-DW-trQG4xsaJ8zZCke-3tVSfrSNVoeE7Vg,8988
deepmd/pt/model/atomic_model/energy_atomic_model.py,sha256=EBff1_xvrfYwKCuAj20AofBmiIzY3yeLO_jxj2N7_uo,588
deepmd/pt/model/atomic_model/linear_atomic_model.py,sha256=L1LSsNgXGuTq9Imha5t2qZBFfqhQEJz0xjHZvYjs5Bg,19808
deepmd/pt/model/atomic_model/pairtab_atomic_model.py,sha256=gDKlFxDwiO9RS7VHpgOLcNWNfyB7Q85XMe3A5tGC_bM,17221
deepmd/pt/model/atomic_model/polar_atomic_model.py,sha256=8Ef9CaN7-f9XahG5l8PkfZsnpRE-Y7m8zXTdSlBfAHg,1994
deepmd/pt/model/backbone/__init__.py,sha256=_LfNzoTvRcJt1le7VIz_fMeMzn76kRmE9R4QtrjdIzg,209
deepmd/pt/model/backbone/backbone.py,sha256=jw4DDThXrWJIIxkiYGTrb3OMdfGqRbQC_Vm9zMLPJj4,304
deepmd/pt/model/backbone/evoformer2b.py,sha256=0Fu6C18JDlrQOZ0Qt2Npz6cMbsbmyyZ9UvGRq7DRXJc,3931
deepmd/pt/model/descriptor/__init__.py,sha256=SdD4sxRrIK5UrjITbe2CFFmdTpiN8qFyNYzO9Z9E4Q8,1081
deepmd/pt/model/descriptor/base_descriptor.py,sha256=O_Mf0PlSsiCftDeopjFQE8Mo6us26U6MHyYLyRbFTiA,199
deepmd/pt/model/descriptor/descriptor.py,sha256=Qf0nH0BpY5_Qlyfijw3UsMzlmGtjRZa0V3N7bfztYas,7718
deepmd/pt/model/descriptor/dpa1.py,sha256=elwrjt5TeWbQg0qOm7an_NFCtSwqwUZ5gcTlkYjgrqA,25639
deepmd/pt/model/descriptor/dpa2.py,sha256=uIgxwO2axDLclZ6f4jRygMaHfcDkL0bD4iBlMEjlzB0,27435
deepmd/pt/model/descriptor/env_mat.py,sha256=2nTa3gCY86TyoCzqii_5i0nvy-tSo8nrWCNQtEoPzHU,2727
deepmd/pt/model/descriptor/gaussian_lcc.py,sha256=4cadr5ZvljgJqOPAWtCq6aRdRUzypaQds021oRbCX3M,12326
deepmd/pt/model/descriptor/hybrid.py,sha256=aNVkZr5BLkfzn3Q7xeSP04Xp_Zqvt3D2W5ztf6IoCUQ,13805
deepmd/pt/model/descriptor/repformer_layer.py,sha256=V5XNXMgHrb4I7jCQix0l0DAv9G1SG_CCAJyrTz4LGNg,47587
deepmd/pt/model/descriptor/repformer_layer_old_impl.py,sha256=EhlvESE8OlVIWUpgc84QZU4utOctgYkuDSA1vhar7T4,25498
deepmd/pt/model/descriptor/repformers.py,sha256=2rmMK43V8DQrooWVvVvb7GrCkANUeqhzZDLelDgr9TY,21838
deepmd/pt/model/descriptor/se_a.py,sha256=jvgdwpHDtY0E3ZEy0oGoMF0m4evON_HKJMJIGGYkgGg,25503
deepmd/pt/model/descriptor/se_atten.py,sha256=G8tzxspo1Zh-rgzvIYDa8_79OdNHZvInd15WU4SmsSM,37312
deepmd/pt/model/descriptor/se_atten_v2.py,sha256=NfM1moGNIFRJ2nSLoUNW-qIFLiR-0CTAip4bFEcN3Ns,9577
deepmd/pt/model/descriptor/se_r.py,sha256=Bmqveqhi2voY0yGj185MGU5NEF0r20wlDruW815LDA0,16937
deepmd/pt/model/descriptor/se_t.py,sha256=qeqzw0Q_tEuWvLjgVt8yV3MtSkqp7PkqKdYtyz-buHM,26024
deepmd/pt/model/model/__init__.py,sha256=BNhcoPtXeqbNoAsqH2Z09fGISyDfw4KGpoiO-HhKYKg,7500
deepmd/pt/model/model/dipole_model.py,sha256=xo7nAapbrBsmKnLpDIrrO7tt6DFmU5HnK5K-GAGN6GU,4251
deepmd/pt/model/model/dos_model.py,sha256=pWOaUCtYoODqddYAkKeJpihj0ANmb5L4iu02N80_tZ4,3037
deepmd/pt/model/model/dp_model.py,sha256=VUSTEaiaCuB6YanAFUOICLXzahpwQ3ObLXOyp4nHL3g,1569
deepmd/pt/model/model/dp_zbl_model.py,sha256=AEljXOggs1gR9NIxYP-iBGv5GxXj5uJbjdWHi2ImaV0,5073
deepmd/pt/model/model/ener_model.py,sha256=6cHeKV0IFYCGW6i1mQGqhzwnEOKVVbGti_ZUN_W6Tq0,4565
deepmd/pt/model/model/frozen.py,sha256=OTkwH0HcwnznGQ0buw1APIUul5gm-PGU9DVd-TR12ZY,6330
deepmd/pt/model/model/make_hessian_model.py,sha256=mipktkmb7nZS6KZftAd3tjNfoAXNkGyRSrP0J4XqcZQ,7243
deepmd/pt/model/model/make_model.py,sha256=Ng2avx_dfBzSYZPj82__NOo4O3q_SkvUPasLrc6PYDw,21634
deepmd/pt/model/model/model.py,sha256=eL0TMdjsQh0eNkkSBh8b3UsI_lP8IOXbGC3msXuyfq0,1835
deepmd/pt/model/model/polar_model.py,sha256=1gokuMSJXNo7p9nt-GduKJIKD3yVyUzTYfIc0HE-wu8,2962
deepmd/pt/model/model/spin_model.py,sha256=r1mS7s4gr57uLGCyOkg72RrlQIwF0i7n_yjyL96h1Bg,23669
deepmd/pt/model/model/transform_output.py,sha256=CVrE3x2Yc1eBGeSVfvkGYACuDYjHJGUnIK3OiERPEHE,8754
deepmd/pt/model/network/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/network/init.py,sha256=4V19qcqpmCy5rHVSM1cmr8HdcWIaoqgbMyQ2y2vh0GI,16021
deepmd/pt/model/network/layernorm.py,sha256=OurtPKPiqPUjG27Vb3p7Gyr17y9gefgVwwrJMHLrhxw,4252
deepmd/pt/model/network/mlp.py,sha256=eGsrccO239cwiwkS1ss22YEuVjkkJmVuuGkWzJhLf6s,9260
deepmd/pt/model/network/network.py,sha256=Z67Nbjq5xc_hxWU15gWky-idj4IBozluKPM8M2egShU,74396
deepmd/pt/model/task/__init__.py,sha256=fyhbpphHkQnTHzlfj9qJyTpLQvcW2NHG25L2_eF7fGE,762
deepmd/pt/model/task/atten_lcc.py,sha256=72eYjJpoh3SMDC3TQ4FWZPIKmoVKN6cTO7opb71XRCc,2072
deepmd/pt/model/task/base_fitting.py,sha256=lQHr0OcWr_Uft17--aYBJy6QAkZzGLFrgy73JKz9PjI,203
deepmd/pt/model/task/denoise.py,sha256=tYfN4oA2Kg96gQ90fvqKVq6I6hUF61NK5Tk22x0q4AA,4567
deepmd/pt/model/task/dipole.py,sha256=RNtx-U7iiy-puzgggtcLzToo_8AojwKumfTJAa3GWdw,6623
deepmd/pt/model/task/dos.py,sha256=ouLdX6FSdYbHx7-FGY5QoUnmixy1HTqpvh8Hd1kwaSY,3647
deepmd/pt/model/task/ener.py,sha256=rqWX5FEqD6XlPYeie9l7-VYjofgJ0ryQiWP8qLyL7gc,8431
deepmd/pt/model/task/fitting.py,sha256=V2bhM-8Fu0J_UApREeVRR0GcLGmPk0DnBplnQnm2WXU,21281
deepmd/pt/model/task/invar_fitting.py,sha256=zTTIQwE-zVlLekYX4I81gkp-JefQAjT2jybLtsU0Gj8,5771
deepmd/pt/model/task/polarizability.py,sha256=wGCEaCREwqGlN_Zsja8UTRxyczYshyQ6ty8epeTgjpk,9362
deepmd/pt/model/task/task.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/task/type_predict.py,sha256=_RE8Mfv-3sQdeXu2GQ6Z9cKM8cdiOwB7PU1sGbCzplQ,1379
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=Xg2UScK7oEewMAqFfDOgOBXttZSNgCMkIbxerR8izWw,12610
deepmd/pt/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/train/training.py,sha256=gvcW5yrDESbfyecNN46mckTo3ZVCN8wZYdW2XfYqZIk,54873
deepmd/pt/train/wrapper.py,sha256=1znq3ZRfQqGTmB1-a1xc_fNMz8E0h6c7mAEn3Pxf8uc,8180
deepmd/pt/utils/__init__.py,sha256=Q2vZeoEc-zdkH5hHETL0BshDMcCPLUOm4OrADc1IJ_A,190
deepmd/pt/utils/ase_calc.py,sha256=RSKSwDtKW4woJjjZWbrA4rruuou4MeY8AjiqiIIgBZQ,135
deepmd/pt/utils/auto_batch_size.py,sha256=DRqPHDcEIPryRIWKcCDtMTX3e6NjI6UMgGo7LOmhmuQ,5357
deepmd/pt/utils/cache.py,sha256=dPKBkbbaraGDPY3ppvvyEWLRXFpnpMS1oSTIlVsij68,836
deepmd/pt/utils/dataloader.py,sha256=f4I-JRV4K6UtH9PSixqelZt_zT7Y6zUL_ycGSG2I4r8,10188
deepmd/pt/utils/dataset.py,sha256=DdCrmBDHTMGvwoFNFRrIACETVZbaIARxQHtk_f1p9Qc,1926
deepmd/pt/utils/dp_random.py,sha256=08G_ZfRwGXgfetXKLibTUr3LyvToHDDW7RWuokmvP2s,212
deepmd/pt/utils/env.py,sha256=Qt-T3byPVD6fyd0xVmXGnG0Iu1MEy-FVqASuLJuhUGY,2649
deepmd/pt/utils/env_mat_stat.py,sha256=dD27b6TBYhJqMxHy3V7RuwDqwzdUNxl8lQ-rnl7O8Og,7736
deepmd/pt/utils/exclude_mask.py,sha256=ahXdVOY3FXPAjUu6mIH6TLT3US3YgWs2LtxBPeLneOk,4521
deepmd/pt/utils/finetune.py,sha256=Y-JOg74AXrpjDOXJ8ifgek_0y7oCLRtecUgq5rdTS8U,9857
deepmd/pt/utils/learning_rate.py,sha256=4o2H59DhuyAuQzP0KV5paRcz3ruSl7CNoeyKCAFliJE,1927
deepmd/pt/utils/multi_task.py,sha256=PyHIwe2KRN0l0c7Dfc442CKJLHN1DJs6_aElFdabi7E,6824
deepmd/pt/utils/neighbor_stat.py,sha256=5MGu7pnWSfa0IvCvPKiLPSRS01--8St57qfRTUwPhE0,5828
deepmd/pt/utils/nlist.py,sha256=AWPT5Y82M4vSBNyLuqjYpvruS_XyD2lesc5ciHDOdV0,11445
deepmd/pt/utils/plugin.py,sha256=HFLRsLBXJ_e0D3ZMHsp4jOZWi2HcPv0Kn0id0fFHRYI,287
deepmd/pt/utils/preprocess.py,sha256=_hfQenK-ePQV_V-7Gd_3pHNflyELxfFvjbXEr-Mh76g,10690
deepmd/pt/utils/region.py,sha256=52Uyn19Sr_EKgsCHDAxILpj7BYcTzw_cncFJo7slAj0,3018
deepmd/pt/utils/serialization.py,sha256=CSwfJXe2hZN2rMh8sfoPLGrcCVe3JtuVyVZrOiqRZtM,2487
deepmd/pt/utils/stat.py,sha256=vh597r0skka-9kb7pzrLrRygKvVZ1xLuK22DPKGlVmM,19281
deepmd/pt/utils/update_sel.py,sha256=SNczgsMcLOjOfvSHTLoh2HuPoGP6FI3mRMwDtq7OCKI,346
deepmd/pt/utils/utils.py,sha256=lC_oN_hn_est6koq1O4dYYhqGOv6kENwuR1-OIjgWXI,5229
deepmd/tf/__about__.py,sha256=3AjDeSCdkPC1vxmkvVcBVS73oMhbi5EDm3elgsg145E,71
deepmd/tf/__init__.py,sha256=e8IRkqe1LumgDTRlZY74Jjc4I--XKXyKFegWVe7IC1w,1130
deepmd/tf/__main__.py,sha256=skhGRbi3w1cqr4OdWHL7ypJYKshkK1wvulU5ZigP07w,168
deepmd/tf/calculator.py,sha256=8wwV63BivcRumW4mhHwlxt56Jl0LH-HKqeu0bOvxuwI,120
deepmd/tf/cluster/__init__.py,sha256=EFW9Ql4tJ1AcKLdhm4_0RpE7nBzuhK5bCfjrWSdd1dk,567
deepmd/tf/cluster/local.py,sha256=uvmb5E4FhCeBAG-sYd303vmSLwpc0hc21PhbIowMCC4,1860
deepmd/tf/common.py,sha256=oESCcb1L9J0IpbDViJM51At3i8nDA7OTfm1cEFX_OVo,7504
deepmd/tf/descriptor/__init__.py,sha256=z0ntrildi6nItbGccaDUQxJvGsWSvvT-m_NEPESwkKc,941
deepmd/tf/descriptor/descriptor.py,sha256=KT6i0bN9rVbVWqljMq5xlPzGvkZvgXgWHF42eLWPMFU,17528
deepmd/tf/descriptor/hybrid.py,sha256=vus614UdeymsqwtdM4_aaPKF-0LPGDtHelSYohiwMUk,16311
deepmd/tf/descriptor/loc_frame.py,sha256=4cR7JOpOQp3WiRvvC0XJ-2P06qrSp2YI8Lh54jgsZd4,16315
deepmd/tf/descriptor/se.py,sha256=c5CmS1liyFAcHrjIJ-bJx7N53dXBEmdRbkZYt_5-jqc,11285
deepmd/tf/descriptor/se_a.py,sha256=TFFZtgZ3gbOQ3ByLbutfyGPQK-LwPTJhfagl3FwODyI,58067
deepmd/tf/descriptor/se_a_ebd.py,sha256=RF3zMW3bNmQIKN4AruJjXDN1v3WgMp59G5XZ_4Ukq-4,21633
deepmd/tf/descriptor/se_a_ebd_v2.py,sha256=QsnBmkFgCYsUb0K45BTmBxj4mRFD2rH9KqlZU_ReZaQ,1758
deepmd/tf/descriptor/se_a_ef.py,sha256=99oaSwUy7ZLuuUpiRbV2r9Vud27ZVkybLmrqx2y8TW8,20714
deepmd/tf/descriptor/se_a_mask.py,sha256=l93a3VnoGqF_oPzDRjcHaC32Bp_PBUUHUoarj4xeg-0,17233
deepmd/tf/descriptor/se_atten.py,sha256=75JD4g7ByXyWpEMBMH_vcqj5K2YRXo00NB1GP4zSNCk,93801
deepmd/tf/descriptor/se_atten_v2.py,sha256=L6oIt9GCzLY7xSgQtD4j5-b1UvYd5j89awFxc5sRumI,6039
deepmd/tf/descriptor/se_r.py,sha256=zc-7lGNvm4UITLSGDS-ytFmm0UNUrVRlPSGDCGgXImk,29133
deepmd/tf/descriptor/se_t.py,sha256=koRxNUzx0oU8cpEE45wmOyZmYESvvuWB3qyi2jskYP4,34776
deepmd/tf/entrypoints/__init__.py,sha256=e1EFxiC9HqK8uKJiJOsl2fcDQVvM7XFNqSWhYa22U-M,899
deepmd/tf/entrypoints/compress.py,sha256=aF_TlsveWmfrGJyEFt2FQarCbcOAdq0KoTLikyK4seU,6903
deepmd/tf/entrypoints/convert.py,sha256=bHbYZ8_0LfBBbl5U16x6HRFMIFhopnCPYKq3aHBSk18,1362
deepmd/tf/entrypoints/doc.py,sha256=Q--8j4QNZSJPv_K5YCvVYBbccaeqdIuVcDcJUSuTvAg,142
deepmd/tf/entrypoints/freeze.py,sha256=UJPStn7-c5C0lp_9lLvPUnPWKpxUyROwIR8L-1AuFsQ,12160
deepmd/tf/entrypoints/gui.py,sha256=6elO12z8T7SpfWOK2aFTD7fsJdHHfwb3oJa9JZVg2t8,134
deepmd/tf/entrypoints/ipi.py,sha256=iN3LreSNrGORdlEy6ptYDWmywpPeUZUWsKdABLeI5ao,702
deepmd/tf/entrypoints/main.py,sha256=Ml5PzznPMSUuNJbJWUbPEr-XVnRLEjstrUeHXV8swhA,2401
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=taZSj9z_TEiAIUuU8hcDRHx9xJdCMVzMPq923cQtiic,9707
deepmd/tf/entrypoints/transfer.py,sha256=GY02AEpzFqwACzohoQe-2hneHQIfBv6-XlRDtVd4T7E,8318
deepmd/tf/env.py,sha256=wlI13rXb01m-2QeW1shapgLCInhGxndpLvv0pZOuWIc,13710
deepmd/tf/fit/__init__.py,sha256=UNdn_eg3CdBkmEao5CDmbiAregwqJgzCpCQnCknk_kA,445
deepmd/tf/fit/dipole.py,sha256=HpWXKG9eHMsLJOIB9Uo3_fK018GC5ziQ-8fUIrzKyj4,14688
deepmd/tf/fit/dos.py,sha256=7pjsST2Oc62dYOQcrlC8jRtQeuJD6-TFxDHnnhlGes4,28359
deepmd/tf/fit/ener.py,sha256=JKMANu9QkHDnw5VowMUMVGZYKYpgFEohCtPZc0gEpaE,42416
deepmd/tf/fit/fitting.py,sha256=-JwZ4wUA6sf6ifh3txMFGPynJTOFJ3lGWAd4swCO2U8,8085
deepmd/tf/fit/polar.py,sha256=K__sl17oZKTIXagvIxyumDtGUxEB8UysLSXe1719v7g,29602
deepmd/tf/infer/__init__.py,sha256=31olTH-IQPbex-7AT6swqRp055F1uxMAeeSkyqLUHe4,978
deepmd/tf/infer/data_modifier.py,sha256=U0b9lPiX4basLz2-jtefkQdSzHPpPCdgAnxexiBuias,16742
deepmd/tf/infer/deep_dipole.py,sha256=VgtSFCrKQtpDZ-nHh3tdEcxTAi0Mz7aVk5HJUM2lwI4,2257
deepmd/tf/infer/deep_dos.py,sha256=LOc_QG_UUGWkLbTvt_Tr-FTU0TQ-PNH_kaZQf-9KtKo,134
deepmd/tf/infer/deep_eval.py,sha256=ZNcQ-AzgooBZ-Vzxg7SinPC_VjlgoKteqP_ccbo1drM,55767
deepmd/tf/infer/deep_polar.py,sha256=DfHG8M4sYpdDR_Tw4iRrU2F3oaphjOpBEaUv46m42Ms,186
deepmd/tf/infer/deep_pot.py,sha256=_SQ_vKiV4GDmXrDVMHpBp_9ffFlic_HOJH0h2yXRMdM,116
deepmd/tf/infer/deep_tensor.py,sha256=T5CtFNVJSzxDA2EAPoEK5Vt7J_s4YCv7KpJGRy0afsk,15643
deepmd/tf/infer/deep_wfc.py,sha256=J_aZHmB9EJZdU5zEndtHDj0qzoFwdWXdo5rz43u7lLA,134
deepmd/tf/infer/ewald_recp.py,sha256=e7pmTMPFoeggn5Lbl299GnLxSoHPDHAOQvqLURvx1C0,2795
deepmd/tf/infer/model_devi.py,sha256=yCsZ2rDV0v4tJqvYDN4i5M_njL2a5HlLg-u_ZaZwgdU,404
deepmd/tf/lmp.py,sha256=MAkhbds9dhQ5YEDIPdTCjoWebvdTXRhx1MPuyyXYaJE,3070
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=sARK0opX94sCdWYvS3evOTqg3mOF2RpNjqNywaAM-s8,325
deepmd/tf/loss/dos.py,sha256=B3r5Mgv4yxTHgXpnCXrjxqXhXURaJn7IR2HH-CYV1TM,8531
deepmd/tf/loss/ener.py,sha256=dG5ZVISQv1V0UJGksGSVipUENDrpqe08ylONsZJ4Bmc,34974
deepmd/tf/loss/loss.py,sha256=VYIC5AECF5ULFofPJWkXcJSNBTKlK7um9st0XFElCkw,2634
deepmd/tf/loss/tensor.py,sha256=r69JcrtXekcv-P_lET756e0qiMCAr7Hlck2AAF0sQPs,6260
deepmd/tf/model/__init__.py,sha256=zLygUk6qh1PcRW-S-xMTV38BLRuJhcGHaH9uzY-qaKc,699
deepmd/tf/model/dos.py,sha256=DWS1KJya3yHhovZhsqYPyKMwdB5AJYOzV2pEoUsU5fI,7467
deepmd/tf/model/ener.py,sha256=DQyevTCkoFc-6yNP8nz2WSkO5GZshJCAC2WYkb1dTwE,19572
deepmd/tf/model/frozen.py,sha256=89zhttuflDBJ2zMTAFbqoydB5vWZDUzRu-x8hqYDK2g,9719
deepmd/tf/model/linear.py,sha256=DJ4L3d2xFVXqsNYOc6E28YaMSQBJtc8j26pEAC3ivSU,9875
deepmd/tf/model/model.py,sha256=ToSN7nsYYmyYaguS58drAMqIaUgbhdcikCUixi_juJg,28737
deepmd/tf/model/model_stat.py,sha256=VKjzqpPo5e4LC73ZwPuV8eOvFAvpXxOi5CyENfaOvtU,308
deepmd/tf/model/pairtab.py,sha256=dZaFoCy8vIrMTFuVd3B9IjW_vZeekMYw9PgeENxSKTE,9625
deepmd/tf/model/pairwise_dprc.py,sha256=9GPDMJgBT-uZkpKvlkqtLQSvzBerSplaq0Mt2pKAmeg,15949
deepmd/tf/model/tensor.py,sha256=RGhtbAu0PQ3S5vQ3Hlw_FUNSHRRWT5OW_XNTV7__lP4,8498
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=ej1zmewg-HA0xk3bnsDfZ8ZlUxzQ4JsV0_3rW07GnJc,11320
deepmd/tf/nvnmd/descriptor/__init__.py,sha256=W4AL4ckaAhgbt_IF2TXKXwCa866IpVOpUod9lx4-PGE,216
deepmd/tf/nvnmd/descriptor/se_a.py,sha256=nxHU9hBTQ-Dv_ZqznSsRbr1iabV1hxWqym24brQ5pKg,12979
deepmd/tf/nvnmd/descriptor/se_atten.py,sha256=WA_rUwZiCxLg0t4rc-4mTxh6n4lmLsDekESBaOFoLR0,11606
deepmd/tf/nvnmd/entrypoints/__init__.py,sha256=PfZUcds2916aWwoFfMkkXNB9ym_SBGPt3bM9a_Aa6iM,213
deepmd/tf/nvnmd/entrypoints/freeze.py,sha256=EQ8e0aQHR3rNdvGNioiTX_m5eAHoADzT2JL3Ghd2dT4,2898
deepmd/tf/nvnmd/entrypoints/mapt.py,sha256=_4DJSk5Feg-Rrz71vJskYPNXRGAnHsl4NclNzTvsceg,23087
deepmd/tf/nvnmd/entrypoints/train.py,sha256=IybIFFcjnPC3Gsal6syKlqAskbb6Ib3KM1unYb_5X-8,6488
deepmd/tf/nvnmd/entrypoints/wrap.py,sha256=rdSKSCWA4AKtVd7fJtO6hqWc3t890PCRHu8FGLF7njw,21587
deepmd/tf/nvnmd/fit/__init__.py,sha256=Mj7wBr5dCGHZ4O3EJk6kliz1wlEDtFc-gMY69s8DyLQ,160
deepmd/tf/nvnmd/fit/ener.py,sha256=9DE4dAcZVIdLnzlJJHScM3B2eISZRPIDIMJN1ZE7fQ8,359
deepmd/tf/nvnmd/utils/__init__.py,sha256=I4U9L03QZz3bE-umJfjCX7xyxvgikkKsuO21BpaYw1o,592
deepmd/tf/nvnmd/utils/argcheck.py,sha256=eFODec1iNmsfrMGHHPMFxY92vqco78eM2niTpWX_pS4,189
deepmd/tf/nvnmd/utils/config.py,sha256=RAW5lvgTRBr8kCDjAORmIfop9dNG8vDsVeMQMkchnO0,15988
deepmd/tf/nvnmd/utils/encode.py,sha256=au_-f_7uWDnmLQeXyOrdXSfDISRqky-wWyiTjPY4B7o,8015
deepmd/tf/nvnmd/utils/fio.py,sha256=bd7rKRVwTvJ3ASmgyepssQQaU_NxXGIywlNaQ-K3YH0,6340
deepmd/tf/nvnmd/utils/network.py,sha256=sO-qggZ8L-p937bnTx3vTdP5kNIINTob5Bd8aA_KeRI,8871
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=saqp-i2VCEdMO0TkzclcItmM3mFjhvIRc9lV-P1FNaE,833
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=N4pvEi6GvJBaj-LSxBJBi1i1ki38u3TRtYiNHpWvuaM,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=10BfDqh9e3NX4OWKAaIIQ7Mh74pH-FWes0OxTDf2DGI,1054
deepmd/tf/op/_matmul_flt_nvnmd_grad.py,sha256=RCxlGxC_Ele4hMtzqLXAHpL_An--VRD0vtlFQJMJX4w,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=s4t-_B_nIbTZrVJW36Pzcoo-r-yyD1n2sYozsE297_Y,7689
deepmd/tf/train/trainer.py,sha256=aJZEj-xpbbkrixqWKgB3-9wu2bhWJ2MnIz2S7EuID3o,37982
deepmd/tf/utils/__init__.py,sha256=1ehP_AfNzayut9yWIz2GBamsWln8D9JQRoHt3JN_IeA,439
deepmd/tf/utils/argcheck.py,sha256=lhr_3Pbno6RsPNuusKstx8cgA_6PVBuqo51ZWwrJ0Lw,367
deepmd/tf/utils/batch_size.py,sha256=BMOnY12VcFFCTh2Obz4xES258NHzPg2YP-sKksF7NqI,986
deepmd/tf/utils/compat.py,sha256=uRnaBD1BdPWcW5fFUl3X721LRAnJCVimXpMA6K3XM1I,361
deepmd/tf/utils/compress.py,sha256=iIA0u6NIdwWJ8T5pmdHKqNvcc_jq8vDgohUiautWiuc,3521
deepmd/tf/utils/convert.py,sha256=eLs0TVgM1RHeTNt02w_ngssy_OHVUCXLBh1pX9FTfjc,12818
deepmd/tf/utils/data.py,sha256=AFycVlo5fy2AMqjI3xBNnfbAj86iGZ6uWKSSUM_O-bg,179
deepmd/tf/utils/data_system.py,sha256=2drcXTM44FPSXLcGaMzFquPfIe00F1jPWBYS9bFyGzA,298
deepmd/tf/utils/errors.py,sha256=7c4ovXsICY82C_pBcKrVvMLKKRiZf-9PJ6apBiNahYA,385
deepmd/tf/utils/finetune.py,sha256=us3NJXjIMq-Fivd4hnkGcncVyD0EA-9v90j_Mpu18YY,4244
deepmd/tf/utils/graph.py,sha256=88JiZrSosONlHQwQ34kLSosLoDyYaX69j0knQFs47I0,14966
deepmd/tf/utils/learning_rate.py,sha256=fXdgjnUdVDoqS3W_39pVqSjK0EbmDrecJXcOWrSNwJc,3335
deepmd/tf/utils/neighbor_stat.py,sha256=W-RJvm6RKbhyOzAd20Uw1LYP3j9WOHZGv7HmnhyF1NU,8774
deepmd/tf/utils/network.py,sha256=_nlJLAxVWVnsuISq0lEhVm62H4oD-Q8ZQrshN6PxP3I,13842
deepmd/tf/utils/nlist.py,sha256=Oz339zWuDn0D_z3Mpow65LmkR_fyzBAmtygZ1ireLTM,3489
deepmd/tf/utils/pair_tab.py,sha256=XWGQpDFeX5SnQnqpgn4KPcAREbcN_YQNOA4ftxKXjrg,177
deepmd/tf/utils/parallel_op.py,sha256=AwsdtL2s3zhABDwZD3KIy_vWttbUFKe_oT1LwbSRoqo,2911
deepmd/tf/utils/path.py,sha256=aI2lJjGsdciKpGC49EMA3IEyPCPaLA60rgLrBPpsUNI,235
deepmd/tf/utils/plugin.py,sha256=cc0grfnCJRvaKj05azsMwrCHjTmwLUhf29UUUURd9pc,297
deepmd/tf/utils/random.py,sha256=LX2EnWhK4zNjpeHHcVDjlBOj7hCqFS3L9PyOgZBVzeQ,255
deepmd/tf/utils/region.py,sha256=KRz1l8msL5Ryb5e5M663pJxUR1aJ-gQSqkC3et2gqEU,1144
deepmd/tf/utils/serialization.py,sha256=1gpod-rCY7lCj7Mz-ycNpYyAJ1xkup3AJcWrbCRdrYc,4166
deepmd/tf/utils/sess.py,sha256=23QyIh8f6lvQZKm-X8odQoDOkaKmN-pWuRbDUJJLwNQ,1667
deepmd/tf/utils/spin.py,sha256=YkCWMKDmUxan-nCAwgEKqBa8wtxMcN5qJo5mFR3OZtI,2643
deepmd/tf/utils/tabulate.py,sha256=lVjOdAb5tJaEowRW7733FOVoqCbFvFRHFg9I1fqrowE,36640
deepmd/tf/utils/type_embed.py,sha256=bJdpbXXzExaPlUTnxSSuiIAqaah_JXr52nDzi48YhiE,11222
deepmd/tf/utils/update_sel.py,sha256=BGPlkGUq-wyLXtNisKBkjPPOG5ycdEei45Z21cebYhI,346
deepmd/tf/utils/weight_avg.py,sha256=pyq4HF0qiJ4V-9BdigGa3q_KmQavFJia1ZyQOYpvGrA,197
deepmd/utils/__init__.py,sha256=YvK0edmbs_HbE8ugiJrEob35mJZY9SgldVkhzCar46o,126
deepmd/utils/argcheck.py,sha256=p4s9Z0t8CijQ9YPdZqAPwqHmT-x6-w5PJwYo3tngVuM,116927
deepmd/utils/argcheck_nvnmd.py,sha256=TWgcKzFd-AiXlhU74kzUM2aFbhUqrwNajaDEIx97vBg,2679
deepmd/utils/batch_size.py,sha256=YqzLOUgl0qwqEViTvJh0co1AEOLfL99AlQpm_bXNELc,8275
deepmd/utils/compat.py,sha256=EK_82icUns5Y2_c6cmklKyYwJyCeZm_xa8bhuwQJQsw,11207
deepmd/utils/data.py,sha256=FULJ6Icqp6f_1-eOcr02t3Gt2B0JHYDnB3gp-dXD8BY,29342
deepmd/utils/data_system.py,sha256=2-mmRa7UC-USF-jt360Nd4qe7_aCaTLcFbylNtD595k,29220
deepmd/utils/econf_embd.py,sha256=b-w4jcFhuuS6QamCqQBTJ1_BqMT0KOoRg--0jL-Tvyg,17706
deepmd/utils/env_mat_stat.py,sha256=YGKpjaeuV_a_lMdkvS8Clb0ZeLNfxMw1O69Xq-cASGY,6694
deepmd/utils/errors.py,sha256=hNSPjmO4BljKl1VS7eD7yFyhi5GYD9Wq_pqsuocnf9Q,138
deepmd/utils/finetune.py,sha256=R3Ppt8h25_WWjLV62v2Gf3rMBnWhrEODsvWoLzwufYQ,5706
deepmd/utils/hostlist.py,sha256=6EccH7JjaehIHmZ4MdFoyfQHmnAWYV7_7N7ayfbVkS0,849
deepmd/utils/model_stat.py,sha256=hZUyTAB91ZBbAwrKfBvITwgRGXXvXBb75XBq1CCqQh0,2054
deepmd/utils/neighbor_stat.py,sha256=Rx-djXLVRO_AS6vPJmsvwHL1OxES7aJhbuSTJN7JEf4,3280
deepmd/utils/out_stat.py,sha256=-7PZFF1Wcc2XqGCRFEscnS5a0hX9_Z_PD8ry38LaR7Q,4555
deepmd/utils/pair_tab.py,sha256=XW6RHfYlxNx58qJfIZOZr18MV7PwdGSfB85VcoNxp7A,11512
deepmd/utils/path.py,sha256=wJyCHMzku5WSwmEvd3xAlULWGMuARhyDhZwlsD67o6g,12960
deepmd/utils/plugin.py,sha256=aVpKtP8imhpYtOfRCgnF1vjz7tK-XnWEW7DO7drvCWM,4045
deepmd/utils/random.py,sha256=gz0unUY4MjCZuUQyWV35VvDxBBRh2RaXkIjh6qwBetQ,2143
deepmd/utils/spin.py,sha256=OhEZnydb4r77IzKFVNpTw09rSpSj-hFVKeEuEa7SJUE,8368
deepmd/utils/summary.py,sha256=YCfpRHxpq2Ro74qfUHf1fFtu6kJ0vUwRVKxiXz99Hqk,4379
deepmd/utils/update_sel.py,sha256=xnNgPlb1dbHYP9VywlUQ9E9bE5qOLRvY0SrwIOuLkKs,4341
deepmd/utils/version.py,sha256=gGP81BKDeqhimoCWMJpbRXA-beN6hIve7kGJAZs9WPs,962
deepmd/utils/weight_avg.py,sha256=78U_bxPYY1H_sl7PrNa25nCbOtvELJjH6OcF0LRmH0o,1406
deepmd_kit-3.0.0b0.dist-info/METADATA,sha256=7zjV7aQ67QEluvslswEb4P89eLfCSCbipgwqOUY49aU,22624
deepmd_kit-3.0.0b0.dist-info/WHEEL,sha256=QYU6o1CSZewCQgV_z9_CeAxmMEB_QRjeyH1jRVylqPk,103
deepmd_kit-3.0.0b0.dist-info/entry_points.txt,sha256=CzXNXTNNSa93IXJHxKEOPh4n74g0jUe4yQvITW-Qw8s,203
deepmd_kit-3.0.0b0.dist-info/licenses/LICENSE,sha256=fTqV5eBpeAZO0_jit8j4Ref9ikBSlHJ8xwj5TLg7gFk,7817
deepmd_kit-3.0.0b0.dist-info/RECORD,,
