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=-pwHtFtM9zr90_b4XFb2FpjhLWbk1OKPcPByVgTsTJI,21
deepmd/backend/__init__.py,sha256=A4NG9UzZTHYqBP1dHF9iGXIdP64maM-aVco9m1WpqVc,628
deepmd/backend/backend.py,sha256=1S8IBtUQcjYppJBUKekJS6Np4psKxY1Qk_3yQWp86AE,6062
deepmd/backend/dpmodel.py,sha256=evT_lM-yGuAySbn202WpCJonkFXfzF1LM-xPmh6zpvg,3139
deepmd/backend/jax.py,sha256=vNM4Z6cXDIJ22WVj0dmYqZtzU526oq9AZHt63lFtdE8,3174
deepmd/backend/paddle.py,sha256=mo3iLyEas6vWq3nZxAva0cloIfs4CLoUC4dRNBpwz-k,3178
deepmd/backend/pretrained.py,sha256=rOnYe3hHBwGDx3ccJCJAjuc-Fy3-sg5dWaKRVRrOP00,2168
deepmd/backend/pt_expt.py,sha256=vPL-juz4LcQmBpU2XA3ZjPgph1EbXBffbbHTcD82Mvc,5124
deepmd/backend/pytorch.py,sha256=2rqHHj9sqSYA-lhm96IHY5JIALvU6-pWZghe1aJOAFk,3180
deepmd/backend/suffix.py,sha256=9KxeXm5HbailLNNiyT3r1AQFbTlDW4iptMdgayQUPfI,2637
deepmd/backend/tensorflow.py,sha256=oFbsaS4Z6_RqWd08JBxy5jHB52hYNsXlGy2-p8zJAHA,3438
deepmd/calculator.py,sha256=0qRyhfWDERRoi187ITqZ9DdXkj2B3nJWKqG-raUAZO8,5180
deepmd/common.py,sha256=ovYKQmwxivuyX0Jk0T82S9gXQoLrOlbexx60Vae4o9E,7882
deepmd/dpmodel/__init__.py,sha256=pDDjNwR7Nl8Z4vBKZesNgZQHvDA6GOnuwbaEAEyMnQI,809
deepmd/dpmodel/array_api.py,sha256=7DRgjKrpeWmHngo3MN62EC_-NfsR7mD5JpjJInB01MI,7918
deepmd/dpmodel/atomic_model/__init__.py,sha256=SPD4uiQczKabtzOKYBZDxxzoztWMeKKUacc-yQTEy4Y,1574
deepmd/dpmodel/atomic_model/base_atomic_model.py,sha256=PGrKt7ZrZYYNFtjo6U4VyFjKddYtN2nhkZaZLLyXOkQ,25519
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=TPi6r6Gcg8q14h1MM6wbWM1Kn1OCrKO_RA-KyM3YsGc,13874
deepmd/dpmodel/atomic_model/energy_atomic_model.py,sha256=vs6k4SiH9Q09GCmdOJTG-E2IRFJ4U8OkqgIe7kbDNI4,736
deepmd/dpmodel/atomic_model/linear_atomic_model.py,sha256=hB4uxP9e6L8wOzYTgNIvzdNCAK9oBwWmeylu_k_Bfdw,22166
deepmd/dpmodel/atomic_model/make_base_atomic_model.py,sha256=AE6YTyImtwRA43v9N6YvESJrkP6oHaaL7dBieDLXlSo,8381
deepmd/dpmodel/atomic_model/pairtab_atomic_model.py,sha256=C91kSnMvkt2kRjhwdcUCRWBL6w4Tc76PdddiwM4y_yc,17948
deepmd/dpmodel/atomic_model/polar_atomic_model.py,sha256=BmNdtCX7wtK_RgnLYUyLdm9RT5nqaLTl2SvR8c2X1I4,2250
deepmd/dpmodel/atomic_model/property_atomic_model.py,sha256=I7c_-FrwkBqEsydHkFiy0HnRpUn2K4wVrK9Lxur9pck,1980
deepmd/dpmodel/common.py,sha256=vuIZC6DWyRREUgV5cdwQqWsyXki5bySJtRW64sZIaVA,7066
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=cryUBVCAEYdO09hiZqJJVrI8s4U8Az3YOPzYEYqgBNo,6399
deepmd/dpmodel/descriptor/dpa1.py,sha256=fDTMAifDHtrcQTjjktAuJsaIdVe1ZyHsv_Tf0IN0pYc,65966
deepmd/dpmodel/descriptor/dpa2.py,sha256=w5EbuqwSDQHuJIRYr1wOtPhPWRbfqItYf-qClHK6jcI,49336
deepmd/dpmodel/descriptor/dpa3.py,sha256=6JEVHnEUZI05s3dX-WQaRbLeh9H1rK_tGg75fJRGkxw,36309
deepmd/dpmodel/descriptor/hybrid.py,sha256=EOfSKOVHrUKGnP8Bfy4Qv49CtA_M90QyjmYiAceVXSM,17009
deepmd/dpmodel/descriptor/make_base_descriptor.py,sha256=JOJsMqVIYI2HB0SQSg_XDMHTpdAzqD-H3GmxB5_sYKQ,9538
deepmd/dpmodel/descriptor/repflows.py,sha256=RRR8G3UX4tZrrt8scCOftDHpLGjeMIH9v6jN6situng,89239
deepmd/dpmodel/descriptor/repformers.py,sha256=qlJAq4lC-WwfxNV-F9j0017yELUfzjYkSyBAAyVUs-U,78801
deepmd/dpmodel/descriptor/se_atten_v2.py,sha256=-g_qSif9MInQDEHCbJWqNAJ8msF8oYOn78BfZ2WH05M,12324
deepmd/dpmodel/descriptor/se_e2_a.py,sha256=Jet6t8hoMR-YGXVBRGX4EbOiXtAEyVcMyBxhi0StToI,24493
deepmd/dpmodel/descriptor/se_r.py,sha256=XE7rfE75M7evuJIunRU_NsxVSOQNpGKCA4kKZFct5ik,19284
deepmd/dpmodel/descriptor/se_t.py,sha256=g_95aGRxwjiJliWDC3qbJfYlZiAbpjn147gis00UwnU,19997
deepmd/dpmodel/descriptor/se_t_tebd.py,sha256=FbJtendrScRH8-1AHTgkbLa41Y1K0FvDuzDm_H6Ylfo,39226
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=kQWlSeBdGtK8eKn_EbfX8ptfDqxrs8QkkDuIp2I5jgw,9655
deepmd/dpmodel/fitting/dos_fitting.py,sha256=FGsgvx66Ma3BRIjBfGqTTDfa7yCpYY_j2uxx8DZR0-0,3468
deepmd/dpmodel/fitting/ener_fitting.py,sha256=vFYeM7tZS68uTuHnLH_TgFf0skgDjprq97WoZTuv7iA,2672
deepmd/dpmodel/fitting/general_fitting.py,sha256=-W0MnzBs9nWRrwnFmMlOGAFxYW_akPNLEgdw5sUgJC0,32166
deepmd/dpmodel/fitting/invar_fitting.py,sha256=WMswQajJUciDLCVB0Q7wjytHOVYcH_gZ8ZofSvFBA-g,9539
deepmd/dpmodel/fitting/make_base_fitting.py,sha256=Ri55dQ7LMshPL4RfxbpG4Gw4sbx8gfs64KicHOcOfqg,3215
deepmd/dpmodel/fitting/polarizability_fitting.py,sha256=ufx92h6agi1JsAOfkB87uOkc53bozrRNXy0t4TpyP6g,14937
deepmd/dpmodel/fitting/property_fitting.py,sha256=p6TGTa62GpRTyqXFF4tymULc1IdvK7iuesJyZJhZWSw,6098
deepmd/dpmodel/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/dpmodel/infer/deep_eval.py,sha256=GUWEP1w3WvH9f1UPAIi7N2PZJrBvDJuZzLThoSEvuOw,15128
deepmd/dpmodel/loss/__init__.py,sha256=bBmhbBB9sN0AvyTHEO03RIjmjCRAxYa7eBuicqBkN24,475
deepmd/dpmodel/loss/dos.py,sha256=GgfmHSCCZZPRk1oYn7vVqTWny7sTemCmhXmye9cnunw,10863
deepmd/dpmodel/loss/ener.py,sha256=Io84vqh3X4INxpJ8kLIlhKA-gFgP_PMfeoMEo-YLT0Q,25337
deepmd/dpmodel/loss/ener_spin.py,sha256=ncYknI3MGqQdYiO213CW9aOeEAJt93bzs7JekW2Z0zw,16075
deepmd/dpmodel/loss/loss.py,sha256=Jh5xfxzSmI_p7t3s125PUEssFnZXFdZ_zdhb-aH39Vs,2856
deepmd/dpmodel/loss/property.py,sha256=nFouNxx-vu2VNte84hRyseqHyGupYUbVM7np2AyUXXQ,6043
deepmd/dpmodel/loss/tensor.py,sha256=LSIOIA4yGHUCWYlV9GSFWY0pdnrLtmMB_wDV4BkUz2Q,7279
deepmd/dpmodel/model/__init__.py,sha256=S6jZoXLzN06Riq4mbmxWfe-YD1E0I930Xg2EUKNw-3g,975
deepmd/dpmodel/model/base_model.py,sha256=QZZ7UzJYYr0p_lRJeFJyuGGhlbLnb3wk45RWLbhSZOQ,9241
deepmd/dpmodel/model/dipole_model.py,sha256=pqC6mXd9XuD6nwO_S__INjJ5orQ6uiqPw_nSl2Eh89M,4259
deepmd/dpmodel/model/dos_model.py,sha256=E3yD85pF_wYJTUV675lmC1RBSpsFW_W5Bw69r0Iyhk4,2836
deepmd/dpmodel/model/dp_model.py,sha256=BgEqhtER2Y3CKizaTdtf_kzSzFHO_LSRqJr7-9VrQs8,1788
deepmd/dpmodel/model/dp_zbl_model.py,sha256=c97J9Zp36ODKynt11MPxuu98RIcSblcR1EOwC3CO3tM,5379
deepmd/dpmodel/model/ener_model.py,sha256=uGTkj3rt1z5NA0OvpATRICYJqzVL7YsoMWoncC9krdo,7073
deepmd/dpmodel/model/frozen.py,sha256=j9w9wsGxzxNIxjjp9d1su-Ln4sj4bHKnUu_5uohr20g,5495
deepmd/dpmodel/model/make_hessian_model.py,sha256=zCE-8CZqcFY06K8wnv_tCng6TX_OyeBySYSQ7hDFlLg,1655
deepmd/dpmodel/model/make_model.py,sha256=mss1M6IDxcvvW_vuUT9fyZq-Fnjoa9P8gxkCc7sc2B8,31846
deepmd/dpmodel/model/model.py,sha256=QO_kNJ_gGBEj2DRdpFnc2z3Ipr95UQM0tQUuXSlEpxA,6847
deepmd/dpmodel/model/polar_model.py,sha256=8hcNPzjzH1bhQiRQMinVjoGYZFTDOQKrhLMTla69C_0,2934
deepmd/dpmodel/model/property_model.py,sha256=sGoDSbuk7QwUjZEf8DUQ3pBaPQPy3fIWpvQi88eSpWg,3270
deepmd/dpmodel/model/spin_model.py,sha256=uyc4G0J-Emt9UfZPXopRMpKikQ_4Q0xwKfPxRE2kH-Q,37619
deepmd/dpmodel/model/transform_output.py,sha256=13hJjUbAu8adcVZYhOGVgShPs5gsDz2S5RvBjF6yY30,11227
deepmd/dpmodel/modifier/__init__.py,sha256=hWEBkN8BsJk28tE9JeMXhgNLziawTM3Wgk8LvA_rkcA,149
deepmd/dpmodel/modifier/base_modifier.py,sha256=Ov87dqwsT9iTWjEeWOnQ6BQIquevbTeQbwCSVqa8_wE,2193
deepmd/dpmodel/output_def.py,sha256=4vpOjcK5PMun4oZVkjRxrnXgXtXXyumyIb99B01HbiI,17903
deepmd/dpmodel/utils/__init__.py,sha256=GYnfiBctHJ4lTSC2ajvMLzoWtqe897_G2--i3-JtJeQ,2215
deepmd/dpmodel/utils/batch.py,sha256=WqLA0aF20soKuUeVtSOXCmXxoXonv_qE4W66e3jX4uU,2563
deepmd/dpmodel/utils/batch_size.py,sha256=UshS4QIjv-Rq5LCtJFASpXw6cKZtB06Ka1whg85q3zw,704
deepmd/dpmodel/utils/default_neighbor_list.py,sha256=jOKRNw-b8keNoF5hotsgepSPCwbGt1qh3MYHFtiAIyQ,1889
deepmd/dpmodel/utils/dist_check.py,sha256=D1QKgn7BtWIVAAJ7dNGnOhbxSo0k4_IRYpl1TM9FQsc,2709
deepmd/dpmodel/utils/env_mat.py,sha256=vvcgSghRutPMYxR1pDh0kMX2-QK18dM76rYIItYyGr0,6490
deepmd/dpmodel/utils/env_mat_stat.py,sha256=KTK3Wc9bQp8EGyGSMVNmP75lmWWEXgEUiuc1-1Ms67A,11604
deepmd/dpmodel/utils/exclude_mask.py,sha256=a0eSkbWO7nMiCOSCSlTIQMRasMfZMxNVUv6ynombNMg,4912
deepmd/dpmodel/utils/learning_rate.py,sha256=YfRVkdmAkiomj_X-tOowTVkVmXrcI5ditGCa0GnTOgM,25727
deepmd/dpmodel/utils/lmdb_data.py,sha256=j6TulETTTG46AIC5edSIqMV-faJKk2pbmuw6ixacQ6Q,72310
deepmd/dpmodel/utils/neighbor_list.py,sha256=RepvjrMNvTO9fHBPRUxhhh_RFNRQjABdk1Z_ErtrVBY,2340
deepmd/dpmodel/utils/neighbor_stat.py,sha256=0LSwqzDBamPpdcIqW1l4cjhVzU4qKi6YTDglW9Odv4I,4811
deepmd/dpmodel/utils/network.py,sha256=QcSSNVCF2Ti7RRMen4LCd4xYgqHuxX4qvJM6rtjrDms,44763
deepmd/dpmodel/utils/nlist.py,sha256=0SWd8FDULaHyabVjgjCniRYj0zwu8hASVG_wXMKHkBQ,12440
deepmd/dpmodel/utils/region.py,sha256=L4aJoB0t3ly6kbBxBaiP-TLsc99H-d_lCTgycf8PxjA,2951
deepmd/dpmodel/utils/safe_gradient.py,sha256=9uk4DKQtO84qXK7L13uTttpqlbcfnt49YkR2JqiHibs,1213
deepmd/dpmodel/utils/seed.py,sha256=jnCkHiCAhCVi_Q7zW23NYxYMUaONGjdDzR4hQPX8S50,916
deepmd/dpmodel/utils/serialization.py,sha256=kMBgKsNeB_tdAfB8zXBR3_ZdunzGeFv5RQqFY2S-sp4,10870
deepmd/dpmodel/utils/stat.py,sha256=yq6IPkQrmk0v5c-OZD-10ezcNwpDdFgOjA_DxrKQYnE,21388
deepmd/dpmodel/utils/training_utils.py,sha256=Tq8pVTOzwdmIO5VLauVxv187Afe0_BnR6cEj9OhetVA,6813
deepmd/dpmodel/utils/type_embed.py,sha256=-S5MsLbuHPbecstImqyZ2IBlUofBGO2M8KXP8mMGQA8,9916
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=ZCHMwaOsl006u3cJlZBt4iSpIez2oMD-IoeMTYFicKw,1731
deepmd/entrypoints/doc.py,sha256=grZoBG5mMAcoMcpW4bD2L8x99j8lvvTX0W9VO-ylbOw,815
deepmd/entrypoints/eval_desc.py,sha256=oohc0VCVWDW6tmollkjCq8Lw-05HLA8qGMKc4xXSOis,3851
deepmd/entrypoints/gui.py,sha256=BPNWgJoiWkQGKWmwXn4WFvf1VBb_orWOZn9GIZUeCEU,911
deepmd/entrypoints/ipi.py,sha256=c7NY_zRcAYXozPCspqjeRfjCUVhHmW1FBB7JHu8H50w,722
deepmd/entrypoints/main.py,sha256=aJeinBNN_fCjNRhLms8vSvWx3o2CEqm6t-rvrzUdrck,2927
deepmd/entrypoints/neighbor_stat.py,sha256=24YsYrriNOif6AEaL8Z4ltPQJOcux2cGmEkk-LHb2ok,2531
deepmd/entrypoints/show.py,sha256=wybey5oiMllcTPLDZWG7Ba4Oc1WO7XBi7KAYVreyxxw,6249
deepmd/entrypoints/test.py,sha256=OlVE71SCDik6HMAJLexHw6AzgfpNrc8oAnLr_uSWCx4,54048
deepmd/env.py,sha256=fCrs9qnDbFWUaZUFAbGh44tTO2QFl-DFm4KkDf9mTU0,5106
deepmd/infer/__init__.py,sha256=9L-JxkTTmjam1rjSq4TRczlxSyDjibie13-vnLRXyDE,649
deepmd/infer/deep_dipole.py,sha256=lZ8JFKjNBueipLdvtf-61Svc5pkt7rvlin9lXil6Oag,853
deepmd/infer/deep_dos.py,sha256=lIeHruLouIrZm4Cx4qbnctWDOKSLJZEXKTpAVFUeEso,4515
deepmd/infer/deep_eval.py,sha256=Zle_ec6NG1HXpyUuveomMnvVSb5WWbksfLsB2vmcDV0,26828
deepmd/infer/deep_polar.py,sha256=ERuZW8SqrMJBumPkHpX7XtP_O8BGiw5W25wgqBXhG1I,3590
deepmd/infer/deep_pot.py,sha256=Bm8zaQqmM_zptYip6FVbSv6HuEpvtP-P-Gb1Ui5092M,8431
deepmd/infer/deep_property.py,sha256=oFVQkc-hQch0ARFxVHDK50qMKqGVmV_PufF9zTC3qIY,5313
deepmd/infer/deep_tensor.py,sha256=Y_hFiMDQFVP01HXVQ0bsK3YTV7FsHfGcZ3tGdhTi9LQ,8061
deepmd/infer/deep_wfc.py,sha256=q3SrgTT7eoylRqLZzHep_Bc0KCpfh15GTmCLn12UnnY,1596
deepmd/infer/model_devi.py,sha256=W39bw-pcxLy9mU16vZx7NZBQP9GvehCPz_wyfkZD5Kw,16572
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=8cHUQW6YBJq787NfhgZg90vo5_jotAC6_HHMzn5qA20,2340
deepmd/jax/atomic_model/energy_atomic_model.py,sha256=ldhUse4QzoyuRR9CVV2KsdShGTMNxB8-lrUWGn9UHdE,369
deepmd/jax/atomic_model/linear_atomic_model.py,sha256=-8i9lvgRD_61qiTOuO6BxDdrj8PH-fFooOtchg5wxVg,2506
deepmd/jax/atomic_model/pairtab_atomic_model.py,sha256=mb4qA56hPd6anLTDqwPS3jXPME6CL7WIwfRuKGBhprs,1782
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=pcFHbnwzXKCCInoWqJsOEjODntxhG-1FWHBIQrqQXdM,2472
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=chXCkthdaAOhj_qs-bQtrpl8QgQ22xCC3fH4oF_-I54,1572
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/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/jax/entrypoints/freeze.py,sha256=xP4W4MDXnkNM78bU3jNygzfVSZt5lEXWK3gji23z2SU,1386
deepmd/jax/entrypoints/main.py,sha256=4veWOjBrY3t7sOnyObuBd8YqOXqZf5kcM9yolXohTE0,1367
deepmd/jax/entrypoints/train.py,sha256=L_AOWGmN-ocsvuD2BSb2fuhgQk-cQafaW1CRglTRKIQ,5805
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=0XHu1FLY9frqK9zLdnOlRLzPk94oNJUgrKEA0zgT69M,3270
deepmd/jax/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/jax/infer/deep_eval.py,sha256=8oSv6a3Ec2QSllT2i0Rf4AaPaLb8R-kXqDJaTWMp8s8,15195
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=dVi64RzE52Uvo8dxptw6OJLj9WlCn4FqCaokFc88qsM,2932
deepmd/jax/jax2tf/nlist.py,sha256=Z9oI0luqy3a2ORnZCzKk7J-3iEEdtc3RPRem217PwxQ,7616
deepmd/jax/jax2tf/region.py,sha256=Olk067FlqZzo6bW-naSHCYJBQvU8WR5914_A40pbBxI,2687
deepmd/jax/jax2tf/serialization.py,sha256=1VRgybCn26jduGLSrSL5rPJb_ywkVz9OwAsOQ0l1G9o,12392
deepmd/jax/jax2tf/tfmodel.py,sha256=-qcYn3E-mEUgeyMs_z4hNW_NolvjToWMcuTowXY61Fs,11049
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=kr1TL9U1qUxTye9zraGqyJVrlh_ZXXittvDVYLw5xco,8265
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=gfAU2RIZtrwlXC94OvOIclH48Os18AIhybXGb67Jog0,2755
deepmd/jax/model/dp_zbl_model.py,sha256=r2bsNcLNxk-yJpQnn0depubWHuRS9ZChpgvwBotWffQ,2128
deepmd/jax/model/ener_model.py,sha256=jqIICG3vOie8Z9GW5Nx6NmJ3flfZbiuhFzU98-5_Ong,471
deepmd/jax/model/hlo.py,sha256=ybC67MoOJJvWyiqa1Ob9e3d-_vhxuthQYLY2e1xkECQ,10395
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/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/jax/train/trainer.py,sha256=DGnzgFoLj7dXH5RWs0JtVeIhfNjRFFavujISgfsQEaU,21563
deepmd/jax/utils/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/jax/utils/auto_batch_size.py,sha256=0Ppr-ZGdrFMHSik01ItVNCUaZJFJfwYsyZhngpva3po,1648
deepmd/jax/utils/exclude_mask.py,sha256=AryU8jywmENbIfUggo2hCNB-eU9C8J8Nq6y6gdVc5y4,1325
deepmd/jax/utils/neighbor_stat.py,sha256=1fqvvK3k9DWXEYWq2Db-MeAcwn49agXhhPU3JD29Zd4,2860
deepmd/jax/utils/network.py,sha256=BT25tzgbuwivLLo33phi27R5SE2cPiiXfCID6DLcEeU,2759
deepmd/jax/utils/serialization.py,sha256=byP82T547wI8i2eNIk8sH7rvSfYpDhfr_Ic1VisqmYY,7530
deepmd/jax/utils/type_embed.py,sha256=I-3IDHqwnTAVhTpFS7OiWReejWGPJGw2stMhTrAMgAw,962
deepmd/lib/__init__.py,sha256=3LningOjkZlld-49ThLVa-1yXGdRkAJr6aypIotqOC0,80
deepmd/lib/deepmd.dll,sha256=4Nx2Ish9WFJQOouFNSbkaKPJgpYNlcG_aOxAlc4kqkA,297472
deepmd/lib/deepmd.lib,sha256=P5dCn-FQqEcUPEw28c7RPh5fgePxNG6EUp0MxwXlP80,215460
deepmd/lib/deepmd_op.dll,sha256=1osjXJR-pyo9aZq9jozM4YwdK746JmDWcreGK19sGKI,762368
deepmd/lib/deepmd_op_pt.dll,sha256=F1_kugQyTm7sC11NNRJmb5zC9h6aJG20mysMdlSrzA0,347648
deepmd/lib/op_grads.dll,sha256=AI0SIDA5es6egF4o3dmL5S44__NsqxBMwRU_G2HSsOk,152576
deepmd/lib/run_config.ini,sha256=zToXBzqKuiotOsfxBca6xmOtD0DsUzUA2ExaPYZUTZM,978
deepmd/lmp.py,sha256=DSE6Ms-nGBecOMa32xnzFQ3nik79qJ4pw4pwmg-zxCQ,3155
deepmd/lmp_check_build.py,sha256=Db09cPvWR4aSQYN75GTk28h2iDVKcqPDXWzvhIDAyFM,381
deepmd/loggers/__init__.py,sha256=EE8z8LRK1mRqDt7OkMcIM1Yml6VaQW_pwjeZbAkNh-E,175
deepmd/loggers/loggers.py,sha256=519u9a0OUmiNyVLQdj4oCncOd6gkJJFfKZqScRL66K0,9304
deepmd/loggers/training.py,sha256=0F_aMAI-DUnHMVir6XZ9q_8zP1lPe4amTye2Cr5gixA,3440
deepmd/main.py,sha256=pHHVTMmyLl8rB8EBuDPTr1bh88yLkH5GOQhL5g3-b7U,35240
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=R51bX4pxRHDvVX6FS5ii7HUXlnVIQvduEbRt4RV-wF0,22002
deepmd/pd/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/infer/deep_eval.py,sha256=GzzKsAze6GYLCxdcr9qw7YIgKpXC8FsJ21E-Qcsdlc0,33321
deepmd/pd/infer/inference.py,sha256=GSUS2MqoYZ93-1_EThmrhjOqOzWcQpcym4PCmUo4hsk,2040
deepmd/pd/loss/__init__.py,sha256=zBIlLVibUHdIne4F4j2eBBXQbizx6U6xkCocStQU5fU,242
deepmd/pd/loss/ener.py,sha256=R-rHCUkAmxHFeix7jB_MyFvHJGAXW8TlVybrFnNLFeM,30695
deepmd/pd/loss/loss.py,sha256=8nRta1B87AT1LNI_nCySx-2Zb1bxIh2ycGWNoYe0ttg,1927
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=QD-LWciHJcXi85dgM_OzeV_NhirMVL9rjisBWudXow8,24420
deepmd/pd/model/atomic_model/dp_atomic_model.py,sha256=ntDLMdINU8K8sXwpCsoNGku4s4lkqIG8twL-Q_ZOpWI,17810
deepmd/pd/model/atomic_model/energy_atomic_model.py,sha256=ODDmo6q5NJLnrADdzdcFfZv-FN3H2KirOIw8sBkIVs0,779
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=f1GLkNGvdP3TsW9egSmmIE8EeX0SkA9I1IWdjJLzYYc,8765
deepmd/pd/model/descriptor/dpa1.py,sha256=nNWePDJHV4--5KrvunyBgIqC50xZAzbCAT2ALCMQzJ0,29577
deepmd/pd/model/descriptor/dpa2.py,sha256=rVOyp-gRSKDsTh7r8cD_GeDfy41CfoyX4lpxdTLkpdU,37608
deepmd/pd/model/descriptor/dpa3.py,sha256=cKLQS545rw8bpFdkINP5-ygFSi6dLiWcG6u7L8eVjMg,26912
deepmd/pd/model/descriptor/env_mat.py,sha256=iQ6RGidgXFN3MLVPV_R7arQ4NQjwT_e1NLEhf7GBUmI,3498
deepmd/pd/model/descriptor/repflow_layer.py,sha256=CIPrxbjYky2SUYcWr5lZ33qauBFDxNPyfpNr7l2tjOA,50921
deepmd/pd/model/descriptor/repflows.py,sha256=1k2ATwsfPkiZw3B0fgn-V3x8WoJ6HGADckQXWpOWCNs,32183
deepmd/pd/model/descriptor/repformer_layer.py,sha256=fnBmNBZjlrnOOJr7RHeiA8tRLj8YXqWf9XhUS4sBDjM,53671
deepmd/pd/model/descriptor/repformers.py,sha256=h1sUwSrX-g2PlJ7oRHtxz08Mk6UWnQLDHU1mioIgtuk,26198
deepmd/pd/model/descriptor/se_a.py,sha256=6lA4iqmjtGUzQlZeGjY7J9yHZEDbr8hwHJ6dOHJfUQc,31166
deepmd/pd/model/descriptor/se_atten.py,sha256=DvEo7CQQF-YzpS8b-yj3J6o3Vn8oy8TQJwUBADJR4-Q,41094
deepmd/pd/model/descriptor/se_atten_v2.py,sha256=8Viu4KxoLls_oZGZWV2Fr4b78vbLKswH8ON3TPXF274,11030
deepmd/pd/model/descriptor/se_t_tebd.py,sha256=KCYBQVjAerNAjwJQA0NipjJhAbWm-JQYPlzO4nywrHY,36898
deepmd/pd/model/model/__init__.py,sha256=ViVni_6Eb_jTiX-OG6LvtCGCClYPsYqYrlMfdfAi5J4,5128
deepmd/pd/model/model/dp_model.py,sha256=Mhxre6Ye-zF04Uce9lMFQgOg4_i0v_xRVEZ43Bs_xvM,1900
deepmd/pd/model/model/ener_model.py,sha256=50LWrMHgqow0jR4K7aifacqgSNvP_zHgEYu1Ur2UXFY,5617
deepmd/pd/model/model/frozen.py,sha256=BgEAsJG_Msv7ULozSUknQqYqCjw1fOkqo5r8dolaXEc,6185
deepmd/pd/model/model/make_model.py,sha256=HqyWwQc_5gKUHLTztDh7b2kov1wg0CWj1y3DZMfa2Yc,26057
deepmd/pd/model/model/model.py,sha256=QT_34bH4NpKa76_cCUnnsoLeYBne5Sak0m9aNyK6JXo,2040
deepmd/pd/model/model/transform_output.py,sha256=VIFn2Nm6tKSFBFyNtJn9tsuErtk-tXbQETgEbtNL8oM,9183
deepmd/pd/model/network/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pd/model/network/init.py,sha256=Zem-4F3ja6kWPLhy4YiZasbgWvDqyN0VHzcXiGgLJNM,16435
deepmd/pd/model/network/layernorm.py,sha256=FnRjgALpckNID01fiyrOxLjyPtBr2o7_KXyZPGCeOq0,4715
deepmd/pd/model/network/mlp.py,sha256=KlfSussmHGVSa-cUwxFnonKBS6wz-RyG3slUPZK6xwI,10327
deepmd/pd/model/network/network.py,sha256=RlfRAJ4FXmTW4V8TbeU47-taYoEYhQU0Y9My45qvKgY,12336
deepmd/pd/model/network/utils.py,sha256=awuW4Ji1jj_2LPu6fRAjZCrHWQvR8DmkWJzXB8_BUD4,5232
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=PAQXo8Fw0eEK02FqWPa_3p70adWlaycaKMBj3DQAYVU,2232
deepmd/pd/model/task/fitting.py,sha256=gF4CqHPdgAnzrEa-FavzUu-oX03sAANSVErH7bbok3s,28868
deepmd/pd/model/task/invar_fitting.py,sha256=jj0KF1fJBQ6Rp7n_I93TpHsgzTVwuXLhQx7XtM-AiMI,6092
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=A-7_fbmNsTXOBIMNt1nXFsk33cOCPYrzpL2P8R9XSMs,60374
deepmd/pd/train/wrapper.py,sha256=jTvuh9_kLO_hWYx316ye5FgKnhhbxRBKsKl7I8rqmyI,8849
deepmd/pd/utils/__init__.py,sha256=mr_5uk-BwL9af8UYZ7oDS46bA7yKFbC2LUtINUnW_W0,190
deepmd/pd/utils/auto_batch_size.py,sha256=MZOoIfZIX1ir2y2135DHuhdkNLSot97iOUH5gCv-zmE,1675
deepmd/pd/utils/dataloader.py,sha256=Qh_KEf0UDY5n28BicVWIDX4fU8t-WMh7IHNTyQW_dME,13749
deepmd/pd/utils/dataset.py,sha256=qAfK46qs6Ul-3XJhz-r77F9EOm7zXsQYT5O14LtzCrk,2024
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=EXUMGOo3ZWH2RRrW_LUwNk4PheDg2tn7IUEgs5QqaJk,6845
deepmd/pd/utils/env_mat_stat.py,sha256=fyC0nLV0NceCs6l0rWmQEB8I1P98YpyIzbBtrrtCpxk,7784
deepmd/pd/utils/exclude_mask.py,sha256=6x3Pw3DK1Gcfw4dUnnLu-a6SCg0qFJOpZaN8wwMnADg,4581
deepmd/pd/utils/finetune.py,sha256=ub_OSHar9M6CtNdPCxTS5rkj6YcSzgmBk7tgdRJ1chs,9902
deepmd/pd/utils/learning_rate.py,sha256=sca9litHS6363o5BTJ4_nYeP2SjeIbfPvaMLpSM45g0,209
deepmd/pd/utils/multi_task.py,sha256=-qhxbcp62SGwcb9NT2GKhx5J2KwtJi02C5AGnxAbm1w,7006
deepmd/pd/utils/neighbor_stat.py,sha256=R4AIfkf11KBf1mr0QQrgbFL7KLUd2MNnoApUrRY8DI4,6148
deepmd/pd/utils/nlist.py,sha256=I7TzJiJ_aSj50yL-EJPXdRcDTcYxzpQ9sVZtiMGE1sY,17978
deepmd/pd/utils/preprocess.py,sha256=O3WUQcLAflvuckOyhqTSYwE1UgKivK85oRYRZ9gUtsA,976
deepmd/pd/utils/region.py,sha256=Cn8le90n9Fs8FDRhwAD1PmatP1mB0SAeUPSO8i5LHkU,3009
deepmd/pd/utils/serialization.py,sha256=T-rOCTzvbwFWJVuOo3t1hUtZ5iDuf1WMuBy-BE4e_WA,3162
deepmd/pd/utils/spin.py,sha256=_137mVp1ooH9Dd86RVjM3KXksTKD_bmAvhvevbjM1r0,1210
deepmd/pd/utils/stat.py,sha256=_zBkPT0RXCjdZ0Mx-AhgtbG98UEoYZoEU-xJzlutFRs,22009
deepmd/pd/utils/update_sel.py,sha256=1X8l7RnjN4AM-W4RvZnpPcTmjvxZQm_WJDhU8uX8UiA,310
deepmd/pd/utils/utils.py,sha256=qHKV7hK-knmg2c7HcHVXo9StSaMRZgbrFFaP37RbB5I,13653
deepmd/pretrained/__init__.py,sha256=mReHedNmaBPhdjWnQ2dz3ch2qc3U5ufqT-4ue9uAh4k,94
deepmd/pretrained/deep_eval.py,sha256=rKSN0vXyzLjZ8GuEeyDQhp2kR38EXQdwvTL3DJZesN4,4994
deepmd/pretrained/download.py,sha256=Ed_2R-em8ew-jzqVdhKC-3f-LK3an6Ty5BpRzh-VLlI,6838
deepmd/pretrained/entrypoints.py,sha256=oZWDz1HZDQJHnCT8CNBOaonIcjQTaATv_24UL8_K9gM,871
deepmd/pretrained/registry.py,sha256=jkrc8vW1hP6AaR0ANHjTGvbQvj3ZD5yVdKI2AWL40a4,2993
deepmd/pt/__init__.py,sha256=TY7OHIQWgJlP2gfYzOpsq5NaQEfcct672fMwhwbFbEA,290
deepmd/pt/cxx_op.py,sha256=21UTBoYTU1XYwTXYR2utNGfzYstd2ErA2VSWFI5yKF0,4937
deepmd/pt/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/entrypoints/compress.py,sha256=WeG_nAt2iVrT7zZElqtbjj-2OF-1vgkJy52vOMTacnA,2149
deepmd/pt/entrypoints/freeze_pt2.py,sha256=n0cLNtYwJJJQlyhjC5u9RVE1eciOP6AxA54JkO7XtAo,22145
deepmd/pt/entrypoints/main.py,sha256=yYX7Ci-UzCa6jTRe2lZAdmFIkWe18ONnOD2MDyyV45w,24018
deepmd/pt/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/infer/deep_eval.py,sha256=N60RMIfCrluHqAQ1K81lfhhtwW47Xr1rSjqSFRAogSA,40710
deepmd/pt/infer/inference.py,sha256=lTlEmV0q_cC-uxs-Vsvnh2N91t3_NJa7PEmeRU3dMTI,2527
deepmd/pt/loss/__init__.py,sha256=Z9VzGARo12kW7bP_dpG2RCexheGcCpvfTfhx2opvs4k,619
deepmd/pt/loss/denoise.py,sha256=HxbODy7acUEZEjMEwllIqtxoLdm0oukpJhxm4xTtJ-s,4389
deepmd/pt/loss/dens.py,sha256=AW3Cg-S5Mcy94_-nYO5KQW-G8e13ABZCRed6IwLSmwY,19796
deepmd/pt/loss/dos.py,sha256=NR9FQbEFb25XAC-QwvN6HfBGssjFWT_BuaM4x7UwptQ,11874
deepmd/pt/loss/ener.py,sha256=vWY-vML5CeXkbhhxpn3tdvjyqvVd2kFWe3lefkJjAJQ,32869
deepmd/pt/loss/ener_spin.py,sha256=mL3-IDVplhaSL6--hQxF3H7Yy1h2OC19Cr0VIEj58zw,20826
deepmd/pt/loss/loss.py,sha256=3rzKtUYn93RRniCgGyJwF0XU-qs3xtGCBjlFORBnr1k,2464
deepmd/pt/loss/property.py,sha256=yoWyo0dAWwbhWpGxjF4Bs8PkLcRQ1IUqKJDKEn7mL0k,8410
deepmd/pt/loss/tensor.py,sha256=uPXOY3EvLMkIj9YzvVOeroBeKuCOCLnf9lpmfS8_EhY,8562
deepmd/pt/model/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/atomic_model/__init__.py,sha256=uIIZngmbh5JXLgdK_mi80vBaJRFQCt7DQJX3pq4diY4,1555
deepmd/pt/model/atomic_model/base_atomic_model.py,sha256=Dikg2NozYbZnk29M5t9qmWGgGVfxrmJkxn5CRmAR0Ps,27968
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=0qhLXVSQtBp9BIurNXxy_apDpOtFIf6K6Uxp4u0LMzc,16213
deepmd/pt/model/atomic_model/energy_atomic_model.py,sha256=R9U-dZPHcdOgIuXdIQwVUTt9x3vhXOGu4hkzNSJZGIU,846
deepmd/pt/model/atomic_model/linear_atomic_model.py,sha256=b8NCeqnICwBckkO1dy-otRlW7LciS1C19Fz_UKrOPME,24170
deepmd/pt/model/atomic_model/pairtab_atomic_model.py,sha256=T1DUJEbdOx8Ch1h_wjQdyTVOODvw8Yyr4GZ0lUBGwWU,19383
deepmd/pt/model/atomic_model/polar_atomic_model.py,sha256=zScWfZVdgkFGlAdVOf1ibOTsF97swkp9KYUV40Dv4jg,2292
deepmd/pt/model/atomic_model/property_atomic_model.py,sha256=t-baw23z_BxAN0YURhM8C0C3hxeF6quqLmME2naR1wo,1950
deepmd/pt/model/atomic_model/sezm_atomic_model.py,sha256=tpk4N-9GU2jW-UnXEHDvP9UKwL6_B0KrEXlqNPRx1Sc,28997
deepmd/pt/model/descriptor/__init__.py,sha256=Bam7_ojMDp9H9eJbSEBjjnW2t-MLtvTZEUT8znpC9PQ,1248
deepmd/pt/model/descriptor/base_descriptor.py,sha256=O_Mf0PlSsiCftDeopjFQE8Mo6us26U6MHyYLyRbFTiA,199
deepmd/pt/model/descriptor/descriptor.py,sha256=z78oDPlM-bLjdNus-YLSnvPjY5PDSX4bRducnQ4qMHQ,8854
deepmd/pt/model/descriptor/dpa1.py,sha256=V7Yz2TNH0Q-mtAIOUhVnD9c_ae_9kqlAr1JH_VRy2GI,31500
deepmd/pt/model/descriptor/dpa2.py,sha256=T1-c3-377nxfuH57FUmXGlGPrLXNE9Sd3dU8XKX5BFg,39646
deepmd/pt/model/descriptor/dpa3.py,sha256=7K6HkaNhyUDom0OhYvre-ZLVQnhjxgTXaaGvcSsgsbg,27113
deepmd/pt/model/descriptor/env_mat.py,sha256=M_x9B5wfgDupZEg0dlSCNx34qLRgWjPdJUfFHQNj45k,3303
deepmd/pt/model/descriptor/hybrid.py,sha256=jznWDiA43QHfoc0u450x1FgHrjE5dqrBfsjWdIx6g1Y,17204
deepmd/pt/model/descriptor/repflow_layer.py,sha256=V2ToRzl8wJkzOApaJM1PFFtF0oKDJAWUhq1BPYcA4-g,58784
deepmd/pt/model/descriptor/repflows.py,sha256=NOIHuh5zfS0LRPHj734jRmvB-wn30C0xc-qJCJfushI,30049
deepmd/pt/model/descriptor/repformer_layer.py,sha256=ZSUDAZmWXTxjHy8ISsA0QM65MBycv3vV0fPYZqq06Y4,52697
deepmd/pt/model/descriptor/repformers.py,sha256=9C8QlZd_OfwO2E0lxgH-Dw5N4_L72PZLT5RErFo7RUI,23644
deepmd/pt/model/descriptor/se_a.py,sha256=TNGQCHMJaUfQomW8DFWHy9bogus9bXuxfqQlj2bkZcU,31022
deepmd/pt/model/descriptor/se_atten.py,sha256=csdSLOE8MtijjMbgidkQ5UZktdEg99-753QcOrcuLIc,44005
deepmd/pt/model/descriptor/se_atten_v2.py,sha256=o4M2qucssDwRpIx0gIBP4sUepBJf-TqDI4w-HockCqQ,11061
deepmd/pt/model/descriptor/se_r.py,sha256=HwpL83XUj_zQVCGPHqHAMeGU3GXG2Al33-aq3REIBdM,22663
deepmd/pt/model/descriptor/se_t.py,sha256=iCvRRFskwNF-XFBxR3fQmlTytb23Cm5c0nNVkoT_ljw,32939
deepmd/pt/model/descriptor/se_t_tebd.py,sha256=0MT7Mwxw-xjqYf-IysaN_KnM4mO0SYtmQNAP1IJtZOE,42760
deepmd/pt/model/descriptor/sezm.py,sha256=g6k6bZNMpnqIIXq8RS_fxEGOwEKpOQsIWJvEcN3iN_0,83056
deepmd/pt/model/descriptor/sezm_nn/__init__.py,sha256=DWyeOu75OKD7dIuh9BLjfQ3aE1XkTvWhpZH12goxHC4,4319
deepmd/pt/model/descriptor/sezm_nn/activation.py,sha256=KXwsXXR61wWw9J6U_KmEhIwqXTqk9NcJRMYarQszVWg,30503
deepmd/pt/model/descriptor/sezm_nn/attention.py,sha256=9UvEgbvJ2psVemwzS2gzD1QzvWsjJzfqISY2AAjZG6o,4308
deepmd/pt/model/descriptor/sezm_nn/attn_res.py,sha256=orp4yoMqTGA14YSJzJKI-VEJ3UYKC6YbGGqPiO0J5hs,7527
deepmd/pt/model/descriptor/sezm_nn/block.py,sha256=BwI6tYLAbOkHxtQkbuqTnvXywr26nMTILLrV6cbCOR8,32189
deepmd/pt/model/descriptor/sezm_nn/dens.py,sha256=5Jl2Z8bHAIoLPTTmy-spJ83kFTQc8BhphY6KzdiI6Rw,25488
deepmd/pt/model/descriptor/sezm_nn/edge_cache.py,sha256=6FRr4ePKP9GUu-jZwMcWDUpQDGTjxUJUEy4bVl4nufY,32277
deepmd/pt/model/descriptor/sezm_nn/embedding.py,sha256=XdxJgkktFje5mZ8_d8BdEP0X90Tqvimq5SCZ47I9Kgs,24402
deepmd/pt/model/descriptor/sezm_nn/ffn.py,sha256=7j6DSOuoxJfaEWI-97XHYnjsEoKfA0Kj4tld9E3d_lo,13972
deepmd/pt/model/descriptor/sezm_nn/indexing.py,sha256=AtaKwxoeBLtQSRXsUM0Ki7ESunPJnyOf2qLwHb05EcM,12560
deepmd/pt/model/descriptor/sezm_nn/lebedev.py,sha256=gDOPGJWds_oN5d1gq7QkKyWW0L3MgNRvis1L7Glm0Mg,2324
deepmd/pt/model/descriptor/sezm_nn/lebedev_rules.npz,sha256=74PE3S-Jlg3k4kXiYd3fmKZQrziG7Ow8_N0fJGk81ag,203399
deepmd/pt/model/descriptor/sezm_nn/lora.py,sha256=-ieotsh0njXt7hpwtQ9_RYD-_R1HzETTuRtJFyPXM-c,32380
deepmd/pt/model/descriptor/sezm_nn/norm.py,sha256=AuUiydm8mIs3ADMP17tuujV_lpp6oJW2M54Jk1ePkEQ,22941
deepmd/pt/model/descriptor/sezm_nn/radial.py,sha256=KH5qPvavRHe0k-FjHZ6_mtAIuWiO2FxRcGoeEIW-0mg,21298
deepmd/pt/model/descriptor/sezm_nn/so2.py,sha256=MahAllQh0Al9iiXSotnNzL648-Si8Fzrgr6ZJZ0alyw,69231
deepmd/pt/model/descriptor/sezm_nn/so3.py,sha256=A8bQS5onAFrDmJ8RXvO2jpGLB5LAZBipnygHLAtsiMs,13372
deepmd/pt/model/descriptor/sezm_nn/triton/__init__.py,sha256=ES-bA970vhFAtMK_rQdPXjKTJSoBU6i2bIjnhf8kw6U,675
deepmd/pt/model/descriptor/sezm_nn/triton/autograd.py,sha256=b0xx2InqWl0Y5g5r_dpfGTuRPBtmkbwI5fOCi5fkWds,25722
deepmd/pt/model/descriptor/sezm_nn/triton/constants.py,sha256=BkupBSJPbY8vO8Clw628jSnsc3dClo9WFiiR-pDw-2s,1086
deepmd/pt/model/descriptor/sezm_nn/triton/custom_ops.py,sha256=1Kb8fa57pAhvnpxNS9ti7Mgna5JxLbMDMzQSI11DoOw,29271
deepmd/pt/model/descriptor/sezm_nn/triton/dispatch.py,sha256=YFv1p_BY0A3Lfsn2qTtt9mImKpbC3Dn-lY2s58yWAJk,3226
deepmd/pt/model/descriptor/sezm_nn/triton/kernels_edge_geometry_rbf.py,sha256=R0ld9sogUr07j45voXk6X3KYzMnbrFzfwc6dbbx4tAg,16631
deepmd/pt/model/descriptor/sezm_nn/triton/kernels_generic.py,sha256=TLUcx8_ReDXnTVHnHRzZ2mVEf15uwYcLPVGqlokKLwE,17998
deepmd/pt/model/descriptor/sezm_nn/triton/kernels_small.py,sha256=dSggRclmvJoMLUyYMqIFcJgnz58WcM3Gsehh6ccaWeo,39608
deepmd/pt/model/descriptor/sezm_nn/utils.py,sha256=x1qYPRgeZikrXw5hO6eXWVkHQPnEnhnbpd2JDj3_sEo,4616
deepmd/pt/model/descriptor/sezm_nn/wignerd.py,sha256=ND2hM2VxgES_KV7hvKj5tc6RqrdnZuBmu6rLkKE3g6A,58042
deepmd/pt/model/model/__init__.py,sha256=i3zqvN_fGFVzIw2AbQBp4bktLOPyFfI49-lDp3tIy-c,18448
deepmd/pt/model/model/dipole_model.py,sha256=GqR0J1Qb3UycQFYVMAlmuoSbA6t9-p63p9ukcYO4Df0,4524
deepmd/pt/model/model/dos_model.py,sha256=2yoUCUvKwB1LfwxN-ZvUCZnsWsDoyoIR0iwTxcwQG6c,3497
deepmd/pt/model/model/dp_linear_model.py,sha256=XLCq3nCRQamjs4Y6pkIvUW97wDXtbKjEV85UL_PJAEc,5796
deepmd/pt/model/model/dp_model.py,sha256=fh35yJU5A3P_zYAto5AbAPAVmLPOn-6gOfIwpiHCTQw,2490
deepmd/pt/model/model/dp_zbl_model.py,sha256=Bmg9csOh0cwMurgbdJl6lusn-QZzPeo0Q3QQq-wVrlM,5467
deepmd/pt/model/model/ener_model.py,sha256=NrWuKgJyofb3cicXNl5hFQ85kMEBfqXBrlEQb53LkvE,5495
deepmd/pt/model/model/frozen.py,sha256=EhYevTJiIWwDqh2p1OQsFRWJxpYUP9sfbef-qA5knqA,6728
deepmd/pt/model/model/make_hessian_model.py,sha256=dnXvxG1Ggt95md7QatZb94pkqjaRQRsJXE5VNaYPf9w,7490
deepmd/pt/model/model/make_model.py,sha256=1YSj5lyt63wOkNAlbs91ijO91JRcDWb3fq70IlGkIvI,27768
deepmd/pt/model/model/model.py,sha256=fWU9MCwgOD26lH3twrHSiWo1WRO-O7eE1miVdK4IDu0,2469
deepmd/pt/model/model/polar_model.py,sha256=xao0W8r5YSdptrt8SeC7WAEFPVffiJiAY9HiKjZJ6k0,3512
deepmd/pt/model/model/property_model.py,sha256=0OaLfUwLs26r5umo5bmH0G3jfkff7dw2VGFTcviMgsg,3866
deepmd/pt/model/model/sezm_model.py,sha256=7OsIDBkXlqNoB_vLVbe9U7Sutf7xZAwTUl13iGzGQXg,134456
deepmd/pt/model/model/sezm_spin_model.py,sha256=nn0iCX_mADt83v6nWTdI5i4ygJILK4kEhMoeYRLmDYU,25768
deepmd/pt/model/model/spin_model.py,sha256=PAN06-smGoIByU0xcO-Z7AEsx90VWvRi_WIxBB2F8zM,31615
deepmd/pt/model/model/transform_output.py,sha256=MscpupPMXMajVZDep6q8Y4trrJZ-yvWQpHR1QzkZ7Wk,9924
deepmd/pt/model/network/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/network/init.py,sha256=wbpFXNqGgynKhxrtqu-2uvT284Y12A825Y94meGWkDo,16426
deepmd/pt/model/network/layernorm.py,sha256=S5al63rWdSBsmPgGJE09pJIbxDNv0u8Z3iDPKitosPw,4339
deepmd/pt/model/network/mlp.py,sha256=XnjDvuVjugqwIbxfK7eJH5uoTFrK7JSDDHm-n1USW3Y,11428
deepmd/pt/model/network/network.py,sha256=BTLvns7_EDnRQz2EwvDVm-JVB-Xgo6fx1bm5HS6PGDU,19709
deepmd/pt/model/network/utils.py,sha256=iFCWo14wxZWMYqBQxSoMsx9b8yByzxmZCINmXO-x9O4,5147
deepmd/pt/model/task/__init__.py,sha256=WISlhEAu9JxnKhJKnpeyIH6_bWJgQ9tqWPad_nC0lQM,846
deepmd/pt/model/task/base_fitting.py,sha256=lQHr0OcWr_Uft17--aYBJy6QAkZzGLFrgy73JKz9PjI,203
deepmd/pt/model/task/denoise.py,sha256=_7YZ58fbODcuB8rfboJvGPdz6SHCvS7cpeCGTufjXJ0,4729
deepmd/pt/model/task/dipole.py,sha256=E4nkLLnqdzQguv79SzFmnoiX73Ko8XFfFxpMOuUOxF4,7085
deepmd/pt/model/task/dos.py,sha256=xwyro_D5wOonoW2UY5Rb-kpnX7XVrcKDEdzV6q0tlc0,3711
deepmd/pt/model/task/ener.py,sha256=GK5PrM94WC2HOjVbgcw6vxP-5BkMYBCG2kbJuiN2d3s,8771
deepmd/pt/model/task/fitting.py,sha256=hmvrwXbF3PnZb9Zp8FGNuHv6CVT-2GXZmhm_dMHKLLM,36024
deepmd/pt/model/task/invar_fitting.py,sha256=ZzCtYLM5tvx3RLT1FsXSPPXneUHruVB1yKxnqB3OcXs,6790
deepmd/pt/model/task/polarizability.py,sha256=jGxuaE3DYrOWMoe96rI6wqvcp0VSLdcC3CE-lA0J2ZE,9840
deepmd/pt/model/task/property.py,sha256=LJ3OK_dOeLbwORVO3XDmCSZ7nZTA3TGcv-U3ykoL45Q,5189
deepmd/pt/model/task/sezm_ener.py,sha256=ND7J6XumvtruYVFaH4iz4go58G-a2qUC2W_juIVTOUA,26828
deepmd/pt/model/task/task.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/model/task/type_predict.py,sha256=CZNkp6TwwwiLdwhBBekfKecMu_QYLThRUcpBELCQgqo,1501
deepmd/pt/modifier/__init__.py,sha256=E7mqgl5Vpk_nKnYZnoPcqOOcfctkW1qhAY9BkM1lhjg,592
deepmd/pt/modifier/base_modifier.py,sha256=pgVyh8R9IOwRSI-y87cOWKyT24yEAaI22hKX6NZ5wS8,6102
deepmd/pt/optimizer/__init__.py,sha256=q5peRlMH7zi8zekoHPTnd57IaRiWva0P9uD3Bnaa0p4,368
deepmd/pt/optimizer/adamuon.py,sha256=ttZ7FAoVCQvT0h2YWHpsXppi3fRq_n6SpgNgtmDaNlg,15562
deepmd/pt/optimizer/hybrid_muon.py,sha256=nDrv3pXKu3ZeuXKaHgacdqKeLHRuFr7K_ufmvVNrWdk,78596
deepmd/pt/optimizer/KFWrapper.py,sha256=eJk2aDseSlcYEpAQhOt_6vFYyTDAJfRRo7b-2SBUn-c,5503
deepmd/pt/optimizer/LKF.py,sha256=n6Ye7MiTYDl4qfnvvY5AbgtLm9E0fP34fYKa_sArePc,12953
deepmd/pt/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt/train/ema.py,sha256=R_LLcyo6J0EhtG-txE8vu8RuRBZUPnXQ7N5awNU7kyc,7419
deepmd/pt/train/training.py,sha256=EfYAcTSSo5PbsmGRw1fok6zytvKYKP19lrD6hPjZyRg,110044
deepmd/pt/train/utils.py,sha256=5-rbDj8M6-tlxQsjuxg6v7jqwkUS5PCTOjUWSEby29I,5092
deepmd/pt/train/validation.py,sha256=L_OWia-YzB3nbVVhkj_jkwXE3z2xx6FWmttl9Jv3lGo,31521
deepmd/pt/train/wrapper.py,sha256=BuSvN6s36uih5LauoAxrHrEd0Cv3xaclhArknQ-Mrkk,9259
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=1mGuG1tpekFxDV1HRnBdIJHrv_iHKmlE4MTUxB5dMUw,3533
deepmd/pt/utils/dataloader.py,sha256=fzlkiv3WNyte61qYNEOqnedmINZIt8z2NJsWM6BCLcg,10985
deepmd/pt/utils/dataset.py,sha256=CaBFBcrvYSG-ea0s0Q1oejjfX09pGmVD_CUHsc2qr_0,2578
deepmd/pt/utils/dp_random.py,sha256=08G_ZfRwGXgfetXKLibTUr3LyvToHDDW7RWuokmvP2s,212
deepmd/pt/utils/env.py,sha256=r2-8ssviCcvK7pIYHdYkDiPOKDdCXN4F7-WcTidG1Aw,4142
deepmd/pt/utils/env_mat_stat.py,sha256=DAVHX3_B5W1o7ech6dwBc2_bXAohrs8a3sIUJpFY-bo,196
deepmd/pt/utils/exclude_mask.py,sha256=6ptfvUyOMdGT9cSwg1nEceiu80Hz--9HQjZuEA4ZvFA,4589
deepmd/pt/utils/finetune.py,sha256=mGSnofkUPxXaAYO-3xZH9CwO6wHranIXbUFEykFLLmw,10440
deepmd/pt/utils/learning_rate.py,sha256=feSGPSnUrSMEo-XLDo22kihkZPGys4IYH90W7O-r0mY,289
deepmd/pt/utils/lmdb_dataset.py,sha256=BJEYjR_zSvsTtGGzOp0jnS89Lu9PR4ZT5vHj2MVlzRs,12341
deepmd/pt/utils/multi_task.py,sha256=BDtPbMFVxZvbIwm69b_EzhKsi_Jm47wtvO5aETEPYGc,8323
deepmd/pt/utils/neighbor_stat.py,sha256=2IONOG0yw54t8ZVhd8BiT4mAoAl-q9ImSxYZRqji_NU,2884
deepmd/pt/utils/nlist.py,sha256=tybD89f5P9rXH6UzxXlOuTGas1yCYz8lcrQJHHEliwA,16846
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/safe_gradient.py,sha256=F0uFhFLNf3ZY9dNEsu8Gn3CFwfh21x4oaYhtNs5Uirw,1396
deepmd/pt/utils/serialization.py,sha256=VcQ64aXP2CejET6nwIhetJ5e3VYJMzO5w5UCkYsU0yg,3136
deepmd/pt/utils/spin.py,sha256=24osPjnsw0KDUV_F1hwRNSHr8txTFh9iLvpcD7kwx2U,1242
deepmd/pt/utils/stat.py,sha256=Wq78HaNJlSgy6X7msUdb2PC2qLHgQtlTp5iTCwQItIY,22561
deepmd/pt/utils/tabulate.py,sha256=H4nHS9eZxGfmSll7BJ0lpzHYV1PHelJa82SXDQ1RW5E,3391
deepmd/pt/utils/update_sel.py,sha256=ILlOceFbIj-lzG5ZM1QPdRkGaCNaMlFuwoinJDVDpnw,310
deepmd/pt/utils/utils.py,sha256=IjK-3Y9QgeBqylJyahyAuJzLGm-GFiIWirsR1iTWbHw,11952
deepmd/pt_expt/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt_expt/atomic_model/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt_expt/common.py,sha256=MHwGAJYvmX0GKQEVCskRny-LaSTCGPsvUG6etG-Pe4A,19524
deepmd/pt_expt/descriptor/__init__.py,sha256=nblHfXznbOG5yivTMtYrFxdiHBs_z_tbrVKpKiUrFmE,853
deepmd/pt_expt/descriptor/base_descriptor.py,sha256=bFshPDd8QthkE_HGTdTYAX7Ey2Oi73T0pbyDy-OaBdo,201
deepmd/pt_expt/descriptor/dpa1.py,sha256=JBgtiwxrzmkeTN2bFeJnHVRy3iDYfech5jglTf4FBaE,11415
deepmd/pt_expt/descriptor/dpa2.py,sha256=Vp_2RCUVvjM7rrWtjcDIPNjXGHJHjNT8wEVY4D2ocnI,17319
deepmd/pt_expt/descriptor/dpa3.py,sha256=-X5wnPiJQxOpuuBg6JjGWK7SyndubtxuAbSdHAJNdxE,1735
deepmd/pt_expt/descriptor/hybrid.py,sha256=QwNcN27TVOtM-BNuzEQns9xe1oB-WLZgiwWG5wf2YCA,1215
deepmd/pt_expt/descriptor/repflows.py,sha256=HE1AQ8Ue-iT2S7GyCdMiYdqCMUFj88uJzUQ0sJLVIkU,4665
deepmd/pt_expt/descriptor/repformers.py,sha256=lDqDnLH-DLgrB0C7uQN8Hflbr1sgNyTvQF4hHFrULW0,3217
deepmd/pt_expt/descriptor/se_atten_v2.py,sha256=V0SUzJ-t1Id0VCSnYFHrq6mrogPPuqdhZfG5KLTbDsc,1895
deepmd/pt_expt/descriptor/se_e2_a.py,sha256=a2HKNzTtdWoqdAO5P1eVUcnXpNoiRxLUHcBlbmlwn8c,7916
deepmd/pt_expt/descriptor/se_r.py,sha256=jqWymbti-yafsYwVEQyweCVG7xFNjPtJNjmQcACfHRI,6030
deepmd/pt_expt/descriptor/se_t.py,sha256=nc_d0itSdS4ZkyUVS4tK6lhUJ99YqVmugA2TLw-jF1g,7357
deepmd/pt_expt/descriptor/se_t_tebd.py,sha256=e1SQqNK9Pdtm1zkT4TkSONheFuKROX4LqCKkBsfslsI,9820
deepmd/pt_expt/descriptor/se_t_tebd_block.py,sha256=-ENll4uS6SL561m94_YtTC5PcvJiVz4MlGL2kdH16hE,448
deepmd/pt_expt/entrypoints/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt_expt/entrypoints/compress.py,sha256=ghfJx6DDjUn4bAvN8ZtLtwgi2RKMa85_r3dvvnkyRKA,4060
deepmd/pt_expt/entrypoints/main.py,sha256=WeAHFL1Uv_V6LB7JWp-avxVzNGJvKdwDODkjzgLwzPg,24802
deepmd/pt_expt/fitting/__init__.py,sha256=Dkz2cUq9T5YeSwBDyoDQygaFHqW992F0XXpy4tbHNNE,606
deepmd/pt_expt/fitting/base_fitting.py,sha256=2c90b6Ql8DFDrT0e7M2H39lPdMJ4k2uMOegSSRGF6Ho,189
deepmd/pt_expt/fitting/dipole_fitting.py,sha256=5k26VwpAY9e80IfIRkd8VUDL5K_-XrOqQwIjsUADXdU,344
deepmd/pt_expt/fitting/dos_fitting.py,sha256=ZEFDu4EQ5-aaVbU5ot_ekAdhwKu6SvPnT1zNNBvfqF0,338
deepmd/pt_expt/fitting/ener_fitting.py,sha256=rBE-K8XVkUldFLv1_TFZy0xUbSNTmNXXQKYnM1YfkwY,606
deepmd/pt_expt/fitting/invar_fitting.py,sha256=X76FASIWWeU1hR65hnYNNlmWVgbn_NFGhlJLSz7huQA,5752
deepmd/pt_expt/fitting/polarizability_fitting.py,sha256=8GrGTQ38mLBt-L0ruDcpWOgc2mgncJ7OLt4xq8pG4Pw,347
deepmd/pt_expt/fitting/property_fitting.py,sha256=CcjGneC66upBEOQx7oo3Mhej4X5IkIoHYf7aVR_bnio,379
deepmd/pt_expt/infer/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt_expt/infer/deep_eval.py,sha256=5B3ahuNWnOoABrqrq1NiP6rcAiKvBtXxvcSDaaFrSGA,65584
deepmd/pt_expt/loss/__init__.py,sha256=MNft26dBJNCeqVQrTGwehYWUo2otF4FBTrjE45VlJ8E,475
deepmd/pt_expt/loss/dos.py,sha256=i-x7YfreJCNc7TRmJOjzcgneOGxLm5z2kLeg0Dv2DlY,127
deepmd/pt_expt/loss/ener.py,sha256=xHQS4nfq_7CizEbJvEzf9RUaCkcpxoN7Gyk9zxLdpFI,134
deepmd/pt_expt/loss/ener_spin.py,sha256=EnKu0u8hvWspOuNHfm5aaQoJurcjPiHh5LsSMcI4gII,147
deepmd/pt_expt/loss/property.py,sha256=LTWEGevsEKc1dAkF_lmOklBTBrje_4Xk_scaC88CfYY,142
deepmd/pt_expt/loss/tensor.py,sha256=OIk7Qcprl1HI6ZlSEMTz1RtvmWa_IHz7rMf8KRUzkHM,136
deepmd/pt_expt/model/__init__.py,sha256=ewjECK8T68zD1P3hJt2FnaGXfbE30hJLMQZY2q7wCrI,938
deepmd/pt_expt/model/dipole_model.py,sha256=cIRgXpEhDFq8mrQMCcf0B1Y1qsQmmG_KDTaLFa4yiO4,6254
deepmd/pt_expt/model/dos_model.py,sha256=HHRYPRhvrA9fFXdHF5YC57Bs-kPCC6AEMHnsTc8dT_I,4831
deepmd/pt_expt/model/dp_linear_model.py,sha256=kop7hqXNspOzukh0JEDXhMmjBGdX9GkzLRteElqPlBE,7811
deepmd/pt_expt/model/dp_zbl_model.py,sha256=oUy5VIW2NNNW9OTz-94YC1L4FV2E1uIJA24gxTzymVA,6511
deepmd/pt_expt/model/ener_model.py,sha256=nHY3BBG0WwJhBgoSEQTCYyQG51N7cjVMfyTGc8OxhW0,9054
deepmd/pt_expt/model/frozen.py,sha256=Z1Erp8_J6AOtoY-2MeiaxUCBEHRqCUWZ3WNooP2-fP4,626
deepmd/pt_expt/model/get_model.py,sha256=rY3udS1e6eNv1XIdRQ9OX_b7gm6fEmvpiTI8Hh3J2Dw,7354
deepmd/pt_expt/model/make_model.py,sha256=rMAxRm5y8d8ttUaPWSV3FbM2PZjCGtCEeP5C8NDmZBQ,19990
deepmd/pt_expt/model/model.py,sha256=lnUokVKDmNb7m81CYhBOMw2WiTFL3rK4hrwU2yihrs8,469
deepmd/pt_expt/model/polar_model.py,sha256=TM_TJnXJ7qBrVxbouyPoT8qBl6mvvSMPI6bP49CRP7k,4929
deepmd/pt_expt/model/property_model.py,sha256=TT2KwpagoVM4DY1_C2ML5pF96ydbTzxnHf3pATkmUUs,5183
deepmd/pt_expt/model/spin_ener_model.py,sha256=gnWYxhVdjzZvo5sWvIPjF5ZUq8UOuM8WOZdwnWqf-d8,7977
deepmd/pt_expt/model/spin_model.py,sha256=x711svjS_1TLk1DuwWxmCo87vbjKT3HrmL-04n6tRLE,9920
deepmd/pt_expt/model/transform_output.py,sha256=GGJNKmKF_BY8pQVORRwLC7OKdyo2Va31E4JiEm-KBB4,6753
deepmd/pt_expt/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/pt_expt/train/training.py,sha256=gkCn9QCIJ77FFVz-afHMZnda1OwyCW954kQYlZnYAKU,76911
deepmd/pt_expt/train/wrapper.py,sha256=HFoTXS62nBulBAGj4WiBN64Hh7Has-KhjqYo43zsTk0,9063
deepmd/pt_expt/utils/__init__.py,sha256=wDx3Z5ys7Z4nchVpsYWRTHGvukdbeQF0KOlbFKhtN14,1018
deepmd/pt_expt/utils/comm.py,sha256=Ivz4idGyH72pX6NZogbWWzlHPMmn3cbVSb5IhvtzpQk,8120
deepmd/pt_expt/utils/env.py,sha256=geisRHeYB_zH2OQ_uW5ghOfNLiMEgViZGb_23yATmt0,4156
deepmd/pt_expt/utils/exclude_mask.py,sha256=69VjZZRpb_iHJ0upy1iVWNRW6IZ72F1X1SNSQVDT-Zw,738
deepmd/pt_expt/utils/finetune.py,sha256=nsJbQaCLSQtRQkVIEU8Xd0dReqIxrZZHpapj8CfVqhQ,5991
deepmd/pt_expt/utils/lmdb_dataset.py,sha256=UQjrw1qmO0NYXtwebHMkFy6_uKO2kpS_QvB7bOotZ_g,4098
deepmd/pt_expt/utils/multi_task.py,sha256=PpJEnErVFkhxVl9h8XiU90gbsPXCIBJknbUbEKE32nw,4929
deepmd/pt_expt/utils/neighbor_stat.py,sha256=g3hWAtDrqx9Sd2ysUXMF3l0uuM0G2b7iatYdm3olRtM,2840
deepmd/pt_expt/utils/network.py,sha256=013zxL9HEDRdfAbJPfQ7422oEkkoTcGrw-9DQ4-zdic,11461
deepmd/pt_expt/utils/serialization.py,sha256=B1_kb8dLhkCxPcHeoaGmGw08U3kVuX94IkLn6LRDXdY,42726
deepmd/pt_expt/utils/stat.py,sha256=ldkkBbysVzBOW-LQVJBuKGNlOoFrRmbdkFaeNTkPdO0,143
deepmd/pt_expt/utils/tabulate.py,sha256=EGq0T83DT-s38YQ35f8q25j6_fsJraPH1lcCXvHMgdY,2982
deepmd/pt_expt/utils/tabulate_ops.py,sha256=ch-1-7VpG3IfUxPYsEeLvFJeS4XMwKF9Rj0uFW6d4qw,4813
deepmd/pt_expt/utils/type_embed.py,sha256=p7Xo0QNWOEkQ6foD9fo6nxg5YexqdJYuHH_gs0gTQEI,1367
deepmd/pt_expt/utils/update_sel.py,sha256=s1o5PadYN99I4NwsQ5ZFjES6JfWRTRAMIEGRNqwAyao,315
deepmd/pt_expt/utils/vesin_neighbor_list.py,sha256=ReqJZumX1YHDQ1XozB1pEBscwccugi_4dZEOjoo2DDA,9438
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=Nr6klKS95id3RB-_pJ6Kz6dv3FkcoVbSjHWvTHyJaTY,499
deepmd/tf/cluster/local.py,sha256=fnlU3QFqRkqB-gz1pMlxTTVfqw8f6mQkrnuiXoU-P1E,1816
deepmd/tf/common.py,sha256=kU7KRka5n41uG7-4TmtXkEWORgkw_0U6TkoFCZAO_Ro,9250
deepmd/tf/descriptor/__init__.py,sha256=wtle0yEDHqlvKqkDdXB4noVDg99juOeDC5ejDVXL6SQ,941
deepmd/tf/descriptor/descriptor.py,sha256=rqB5yVGJ_M9r1DfKfrM3ZLM4wUo7WKMFxsXe5DtpLdk,17902
deepmd/tf/descriptor/hybrid.py,sha256=sKd_XDR2Uu1ToH8l_oPQ9wCAL9lXq2LlQqSxb_xaFNw,17182
deepmd/tf/descriptor/loc_frame.py,sha256=GaAp89sdIe_0Jnuzw4xcNfOsQC_BDc_iu39lPoZ5wXw,16605
deepmd/tf/descriptor/se.py,sha256=mzYXStliqM3T5PY7NJ6DqoW-hiyDiru5myj1Lv4My10,11444
deepmd/tf/descriptor/se_a.py,sha256=Hjk1BztAKDhUy46P0WZd_nt7gnFgKl626rINgZJiPuE,63120
deepmd/tf/descriptor/se_a_ebd.py,sha256=Jio2FzcCPoA7SwzTh8oJByr1HDhYIrdGBbuqR64z_Bw,22595
deepmd/tf/descriptor/se_a_ebd_v2.py,sha256=Vcn2OPWfAlPg9UTrRiBR9dK4v77dAnotMku9yNXmr7Y,1741
deepmd/tf/descriptor/se_a_ef.py,sha256=IPRjX6OVpNOJTM6sAhAVmFGypUhjjhyU3cOx77yR8M4,21512
deepmd/tf/descriptor/se_a_mask.py,sha256=I_jp-b4Ov5ImhofYT3e_GpgKTU8t81MAsh4Js22e_Tw,17418
deepmd/tf/descriptor/se_atten.py,sha256=okJtcLFnUmSunwumKQU5391p77_uMQ0UsVkpZTP0Ssw,100547
deepmd/tf/descriptor/se_atten_v2.py,sha256=orOf24GCKNQB2INyjGw9KT42Badgxr3K9qXznbYdNN0,6674
deepmd/tf/descriptor/se_r.py,sha256=AJl0UtTJydZ37GwzDt9WNfoagFfNwlfOo31gIv08SGw,30157
deepmd/tf/descriptor/se_t.py,sha256=noHEsJfQ9vrQdC2w6EwZ0hT69FWvidISN0PjAU1uAQ0,35836
deepmd/tf/entrypoints/__init__.py,sha256=Ruofk1_sjSyHgx6LZizyPG7v8YSgEkORvnlkKElMMwM,968
deepmd/tf/entrypoints/change_bias.py,sha256=biCx2rUKfjqp4yAmAjMBHruCJErJyhFTFysTGAJTOu8,17347
deepmd/tf/entrypoints/compress.py,sha256=CQybzox1rn7HZthu8GfU5B8e1ZQ-1mMuCJxLWVk8Z-Q,7012
deepmd/tf/entrypoints/convert.py,sha256=uAWIX7NiJsHXhECjsIBYS5DQm1PBcdwMUa6c9WM4zxg,1412
deepmd/tf/entrypoints/doc.py,sha256=Q--8j4QNZSJPv_K5YCvVYBbccaeqdIuVcDcJUSuTvAg,142
deepmd/tf/entrypoints/freeze.py,sha256=2958apGxhujcVd3Rn5svknayPiZbqgqy_jRM1vJpwG8,12412
deepmd/tf/entrypoints/gui.py,sha256=6elO12z8T7SpfWOK2aFTD7fsJdHHfwb3oJa9JZVg2t8,134
deepmd/tf/entrypoints/main.py,sha256=Fv2NXA3phqhXxolk6vqTu8gRlQXP4XTW3uUWM-eBxvw,2723
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=uhDCr-foICd_jDT9cDRf4uJecQiNDGvcxL6RqY_ulzo,10693
deepmd/tf/entrypoints/transfer.py,sha256=rf1ovDrsVxTSk8ZM5v3C1yG2x9LhNqHcxvbuxz9iYZg,8400
deepmd/tf/env.py,sha256=I6XZ0jdT9_q30zVLrNrDyowt8-6JSEiufla3Vw7rgZs,13965
deepmd/tf/fit/__init__.py,sha256=m1K8Sd5PbStGGJeqgI9xRvd9rvqQ4kB9mQq-vG4DYhc,445
deepmd/tf/fit/dipole.py,sha256=M2Jmd9EbivbyOoJZC85qQMoinKNkR51bpjgznzus7H8,19599
deepmd/tf/fit/dos.py,sha256=XSPzgfVNB0DGLEx7Hd7Uh1wvitqmeDlB0_N1mfTyn3s,29820
deepmd/tf/fit/ener.py,sha256=AvrwmrS0Lkbq5L70r4gaxVAf8_MZmn3Uvmg3NtSbvjY,44457
deepmd/tf/fit/fitting.py,sha256=5j6i5b_Xc93RRqSNKO29ehG6zgpbuYOwbFptuYB_Jjw,8650
deepmd/tf/fit/polar.py,sha256=9SQQCMHZweoMErKYbWzauQgyWtEfLYNfbMFqwsXTxe0,35844
deepmd/tf/infer/__init__.py,sha256=y31pcUbiwR6KhNVnae8d61TAQGqT2ibQnIWYAY1jAec,765
deepmd/tf/infer/deep_dipole.py,sha256=xbd473M1CylJ8ILO2mtT1AllBWAhpWHtQ8ZZhDgPhsk,2364
deepmd/tf/infer/deep_dos.py,sha256=LOc_QG_UUGWkLbTvt_Tr-FTU0TQ-PNH_kaZQf-9KtKo,134
deepmd/tf/infer/deep_eval.py,sha256=bvsewzaTdghaBj0wu6x1RAcxCANlCRR-XUOaqSnXtKc,57160
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=oZswla2nlN6rEn7HsFl_0P8GIeT2kHVYVW5CDydQ-2k,15730
deepmd/tf/infer/deep_wfc.py,sha256=J_aZHmB9EJZdU5zEndtHDj0qzoFwdWXdo5rz43u7lLA,134
deepmd/tf/infer/ewald_recp.py,sha256=-dbsPFP9eFuANBIBUxJh-tzJCXpIXq27tRagr1czwmU,2780
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=7snNgV6_05-AieQf-t6fLcahRngfPqBZbdPH0wNB34M,8744
deepmd/tf/loss/ener.py,sha256=23MOou31ah7JoQGKOGeL-F89gOpyfCiOZwoJRsCmJyA,46536
deepmd/tf/loss/loss.py,sha256=cil7OTXY_KKqJnjGAj48XE1ZXVRhVvJy0_t73pJRs_k,3808
deepmd/tf/loss/tensor.py,sha256=siIGLLH7T_JUmEEDxPj2H0MOfwQuBTKDSOrmmsjkM2I,7324
deepmd/tf/model/__init__.py,sha256=3EkeZ8fC5eCBDnUil8HmI-O2EHreCibv0-s1akqplQ4,699
deepmd/tf/model/dos.py,sha256=tU00vn7cQ3WI3WIRzBXtddBxT8TqpJZqEpLzMYMFnbQ,7984
deepmd/tf/model/ener.py,sha256=qyb_Uuq6e57se006K_7gqNSA_PJkkRcPHYUZ8skYYj4,20100
deepmd/tf/model/frozen.py,sha256=-3JTSCix2s3O2j9Sw57-b-_RKyjk9jc-d8SE3ZzXoEE,9802
deepmd/tf/model/linear.py,sha256=HpAVsNCjcJorYqAQNjbwT5y4_f-kbzkp4ov-pQ2Ugog,9934
deepmd/tf/model/model.py,sha256=THtb87BbtNLrgQXxjUxJ_0PEs0eGeZdBMhj0ODShRlA,38405
deepmd/tf/model/model_stat.py,sha256=NjrOLkJJe4Uhcav_A9K4nk28wpy7uRdTR3lOEyxfWo8,400
deepmd/tf/model/pairtab.py,sha256=a2HBHwO9O3xPEYQAjh4kuVZKnDhNJ80-yAZa8MU8Kzc,9734
deepmd/tf/model/pairwise_dprc.py,sha256=mlYuA0SoGMBEDWYTu-IUsA9JpeKff3xgx3lInzUzeQk,15997
deepmd/tf/model/tensor.py,sha256=CjqfrNrlQhzbpFk9tvdHDJKy8sVqvafVQpxUAf8YHAc,10457
deepmd/tf/modifier/__init__.py,sha256=lhW4U1d96kNWlxYm8gor8YA_M4e-nOkR-_V-K6eJlgU,226
deepmd/tf/modifier/base_modifier.py,sha256=MXDlRHmFyrwDgKEkiWJ1qzpyihAW9nN5phO5IoENKLo,1100
deepmd/tf/modifier/dipole_charge.py,sha256=8EvUyXpAAyzwOdqgWZ-1gG_0DRdIZp49tIEtH532QX4,20392
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=-i9QVcM2HMWJclsqbSCdPFYOsyL7OQYy7Mu8wWOXttI,13339
deepmd/tf/nvnmd/descriptor/se_atten.py,sha256=gg5aI30vque_CqS6av40pSfTMcEbkC6eD6IzA6M2sBA,12020
deepmd/tf/nvnmd/entrypoints/__init__.py,sha256=VPAcqIeG1UUutztRUHYGl3bt0_NijmYwh8vpG6ZtKZ8,213
deepmd/tf/nvnmd/entrypoints/freeze.py,sha256=6x7JYYf07mrSCg2lcs_Y2BLDxrgbKOG2m01iuPCGkR0,2939
deepmd/tf/nvnmd/entrypoints/mapt.py,sha256=AT0dOx0jhXlHz202n0TN9QdszbZppxyXgwNzixnFytY,24080
deepmd/tf/nvnmd/entrypoints/train.py,sha256=sKAU8i5tpv5cmM2ZxD3qG42xMTTw7wa31vU0E6i0dqE,6553
deepmd/tf/nvnmd/entrypoints/wrap.py,sha256=bPqDatZoLZoIeVzEnog5CEQWzy-C-kpMaaZXdv4YiFw,22546
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=gXqRhvkEvF-VJ0N9d_uHkGab70Wb6NGcsJfk8gCy-Sg,16234
deepmd/tf/nvnmd/utils/encode.py,sha256=5aS2GL8i9D69gKl50wirLYHn7i--GajsE2I0ulcnTkE,8885
deepmd/tf/nvnmd/utils/fio.py,sha256=LwwcfqCYYd9xUt1wHvZWmgTkFX51maLlxCsxEdosdLo,6709
deepmd/tf/nvnmd/utils/network.py,sha256=KnVrvianT7epYLBiOrGhijJ4C_mhDsnzQ95aNhEJcGY,9589
deepmd/tf/nvnmd/utils/op.py,sha256=q3wrympdYs3BLg8r-6Fp8DHbqJrCeAfzBYczyhJ02cc,663
deepmd/tf/nvnmd/utils/weight.py,sha256=SCGOHH2SPA0HrGWraRQxZeX5uxcaZr_bmPL1KMM_1i0,5271
deepmd/tf/op/__init__.py,sha256=BIq5BFLg1JQCTc5CQPhFKYSIaS1VmxWbs3etCbFHAy8,842
deepmd/tf/op/_add_flt_nvnmd_grad.py,sha256=PhINij10CkFlOTSDbIxfmL8AFy0BLOxGV4_NXiOVj20,376
deepmd/tf/op/_copy_flt_nvnmd_grad.py,sha256=joYX6v6heCsM_DjK3c-JqaoySJLzJUapbTv6ZT-zdOU,398
deepmd/tf/op/_dotmul_flt_nvnmd_grad.py,sha256=55iQdN__lBRJP22UnrKmhmxHU-C8pKY_LgzOCHIzGuA,754
deepmd/tf/op/_flt_nvnmd_grad.py,sha256=XVUsbeuRvRN7qCmkZpsnzqpZDD5NWn8efgQuCUuyeiQ,353
deepmd/tf/op/_gelu.py,sha256=iryx2z7mwX0cWmS9zPNWvgYf8oug7oCOSPBees91XNk,1212
deepmd/tf/op/_map_flt_nvnmd_grad.py,sha256=iljeOjOa5XGQP0zCSz4iWri1t1jBeuGD3lCJR2V4DUE,1037
deepmd/tf/op/_matmul_fitnet_nvnmd_grad.py,sha256=tBXhBgpeFVbk32E7KQDgko1BdwE33lZNWoOLS-jFqT4,612
deepmd/tf/op/_matmul_flt2fix_nvnmd.py,sha256=JjfVpITFT1Ec8e7geJv9NABis-52kynrLvJHorzBM3w,1098
deepmd/tf/op/_matmul_flt_nvnmd_grad.py,sha256=3RW7n1n0G4rj7GeZShivEz30XBjb3db2umZIjmOmGLw,1346
deepmd/tf/op/_mul_flt_nvnmd_grad.py,sha256=4AAQjepw6s6pr35t9tjAZIy_b52OsgBQnhpIEjpxf1s,951
deepmd/tf/op/_prod_force_grad.py,sha256=PunAarD0KkTe2xU_p5X7Rpo3J0Y5KHoN4s49V2H3E2s,668
deepmd/tf/op/_prod_force_se_a_grad.py,sha256=AcxKPLiPlaSvpegWdnUrflQTaK-gekZmCEeP6C_5fzE,660
deepmd/tf/op/_prod_force_se_a_mask_grad.py,sha256=sSwB_B10kij-NdqRw2ofzVizt0mHg_29gVyfuQc0b9w,657
deepmd/tf/op/_prod_force_se_r_grad.py,sha256=Evcr-1tEzcQrieU-SC7TLybZ_LtW6KgEL9tlnI-SnfA,541
deepmd/tf/op/_prod_virial_grad.py,sha256=s6nClzi6AvaEf284qhA1cQrUDGezZwARb1MzqeezjZc,731
deepmd/tf/op/_prod_virial_se_a_grad.py,sha256=MVq9Baxufjat2giZBZfBFXXzYTkORa3U61x7HVpIcqk,715
deepmd/tf/op/_prod_virial_se_r_grad.py,sha256=0Zi1z5JZIdvuUP6H1gncWBzrjgvRMPxiKjD6MjmrbUs,587
deepmd/tf/op/_quantize_nvnmd_grad.py,sha256=1vanERp83qSJNwc8_2jR4lZz6PKIn57VJgW_KrBoLDA,530
deepmd/tf/op/_soft_min_force_grad.py,sha256=DiUfHLKudcDdVukmkHsgvB85ZmWQiv-NuZGKU0ggbbs,662
deepmd/tf/op/_soft_min_virial_grad.py,sha256=1mNWwoHdkge-HUHf0Wg9cy_dFgwXwOiOwYJiwi8C_h8,717
deepmd/tf/op/_tabulate_grad.py,sha256=kWDJ0flNbQO0VjeVaPr75uQEOpFHQ42r5E-aT4EyKQU,3410
deepmd/tf/op/_tanh4_flt_nvnmd_grad.py,sha256=J7S63AhPLEjYZUVEOxWag8Fjpnyiv12TsdPMXrj81sg,1158
deepmd/tf/train/__init__.py,sha256=1gSDfOeNR4jEYvnaEl7TqZy0ITUB6-5Q9M-i9aZoGJ0,46
deepmd/tf/train/run_options.py,sha256=D7xv_pv_n1xUC-JqXNPy1i0zla9lM4eJnbdS7N9A0A4,8346
deepmd/tf/train/trainer.py,sha256=csmhuTdXMLOZ-iQHwZMLajpju2Q6ItjJtbMNmETLhEo,41617
deepmd/tf/utils/__init__.py,sha256=Rh2lqpgsDMr6j2rm1BTALmEr__07_lkDxHVn1FfNoeQ,449
deepmd/tf/utils/argcheck.py,sha256=9B-YL1doCu83uNl3VEFov_u26pGihtbhw-sIG_3LrZY,367
deepmd/tf/utils/batch_size.py,sha256=nN1E4XT93YzOG1Av15hPwrl_1INyxhxDwUH0-sfkt3A,1910
deepmd/tf/utils/compat.py,sha256=4--MwZRY1j4PqfwcivEwJvo-2B5DVXL-uIA31ijFCrU,433
deepmd/tf/utils/compress.py,sha256=Xv_s7epwdx8kpPbPUEDPMOC4emsxR2xeyFrqOwyTfYI,3880
deepmd/tf/utils/convert.py,sha256=peLG7Kd1FrZyuc6TelN6Vma4A6JVIGPeUw-V0ggXCko,12955
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=R0AMKDcngveG5r7gqg6ypb4YN8PEN1C36BIPulLnjWU,4239
deepmd/tf/utils/graph.py,sha256=xQCfSuDuFae1gteA7PZ4_vv6a5FMqjYEBEy0AKeNU4I,14925
deepmd/tf/utils/learning_rate.py,sha256=2gl76jDT-AbMjWavTZmb7xCUo3inFBxXFdiTM5u6KIA,3394
deepmd/tf/utils/neighbor_stat.py,sha256=fRHF4C9Uw66JP1188e7SHyZ4g-j5iThyKZJTVuBZvtE,8789
deepmd/tf/utils/network.py,sha256=K5dkd8ADbOKqq_2RgWuBycvrWOxxhsvmOdC2PS-1nHg,15182
deepmd/tf/utils/nlist.py,sha256=6ENZMlMbP_Jz_J0OBnaofjZWfr5pNDzx9zf2wb86JQ4,3798
deepmd/tf/utils/pair_tab.py,sha256=XWGQpDFeX5SnQnqpgn4KPcAREbcN_YQNOA4ftxKXjrg,177
deepmd/tf/utils/parallel_op.py,sha256=JT8N6TNxdNT1IC7f6-RYrckFx2_mMG72eps1ZhkFsRU,2899
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=MpeYVZOdb5xlJHIxtxR-4_OijVPtDZqX5AXvyXkiTOM,1192
deepmd/tf/utils/serialization.py,sha256=2sc5p2L-HfKY-62gdGQtHs296-DN4GtdcJ4w7e2y7nk,4116
deepmd/tf/utils/sess.py,sha256=Cjw9exRsEo6nglm7sf2EcCpUxwdZ47HWdFzdzvBiZjs,1719
deepmd/tf/utils/spin.py,sha256=ZjMvpiLz6w0OjzeAbuy6CzKsMtqyahshzxrzjX7ntFM,2613
deepmd/tf/utils/tabulate.py,sha256=FJTjMklG4O7J7cTbu8goRBYYtagXWeYdh2ZkKvBk9Ck,23873
deepmd/tf/utils/type_embed.py,sha256=aCON6JUEqJrX4dr_kQHZibJ_rTk4oue2CGxZczraoUg,12304
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=nu06Q9oIUJyhY72pq-kP0ZXGz-wMTBnHcA2G_jNb2oo,245470
deepmd/utils/argcheck_nvnmd.py,sha256=955CYnwsrBeLBWcpFjDud39K_sVYBqoGS2ynVvhrm8A,2757
deepmd/utils/batch_size.py,sha256=scH-5OVtekIlbE20nfLIHw-CTP076bYYuR6sILx7VL0,10974
deepmd/utils/compat.py,sha256=rty-DLCixjXlMFPN10RW08cdKpY8FZHzbkGZhX1p0eI,16237
deepmd/utils/data.py,sha256=RekqcClv2Rbdf4nJS6hER9QSHiL1QVi7AK3eSHnh4dA,47619
deepmd/utils/data_system.py,sha256=kBz3eQVqSyW0axTE46o0Lt9wO6W0_DkCqMKACIXEjCY,33764
deepmd/utils/econf_embd.py,sha256=a_NSCh9hGAIJ0xi9rmEY1jDkgFOiM7dDKteAaIbQv2I,47398
deepmd/utils/entry_point.py,sha256=cEqsjNAQljULnExNPelbY2fN_--R_9gOVpAoU1Z9ctU,592
deepmd/utils/env_mat_stat.py,sha256=gLB1kQZZOw7tKjg7lHIkiG66szIz1eO8Ux7RnXATnI0,7006
deepmd/utils/errors.py,sha256=hNSPjmO4BljKl1VS7eD7yFyhi5GYD9Wq_pqsuocnf9Q,138
deepmd/utils/eval_metrics.py,sha256=lEXL6ZMA678tJOvLmxEVuA5h5SvZftqdYlnXkZe-Bb8,7167
deepmd/utils/finetune.py,sha256=DFUppIZZsfp8ReqE4Hv1F2EYc63XRmSD95gZOB1Gv2E,5808
deepmd/utils/hostlist.py,sha256=1fzPSxXapM4LmYwJOCyQ9sL7ugdQLiHRR0yzwOrnhe8,801
deepmd/utils/loss.py,sha256=d0l_48MKgLVE0YQ9Z4N6dSGISVwX-Rm5jjdKm0feWBk,1041
deepmd/utils/model_branch_dict.py,sha256=cIxvRqC_VphC4rMsESwTnSKuK1cI9aLu_87ZCXkR5KQ,12201
deepmd/utils/model_stat.py,sha256=BwLKsDMc0cvixp7n2HBt30l1B2z_pZd1cxvOa6z_si0,4214
deepmd/utils/neighbor_stat.py,sha256=-Y3bzXddTva5wfH8c0V5bShL-zOX0SrLOekkurxrZGc,3412
deepmd/utils/out_stat.py,sha256=8lnowy-mLHi7LTghE_CAa_a58sIgc67O2em_U5zCetQ,7276
deepmd/utils/pair_tab.py,sha256=78mVLwVN6OELxOENS6nrIrBX7SzEO1_LyptB7jkZIpg,11845
deepmd/utils/path.py,sha256=AYfos7mkvx5kqyrB8yMax5twlDVMpeoJeTb-9dME0K8,13529
deepmd/utils/plugin.py,sha256=rODQsGUOuJeDwVd7nt_Dn-bh0Cm52gDjpM4UJIgVjvI,4092
deepmd/utils/random.py,sha256=94RorY2TqWMOXl0K0-BRfVChHzwCgxDS88l_UCLKiI0,2169
deepmd/utils/spin.py,sha256=MdbHCW3RM04sZhnfXBzqM7gPISSRwb8i2ZqSk2DaJ_c,8714
deepmd/utils/summary.py,sha256=ILarbMdLh7JAbr5LFDSUAYYETxBfHyCdvugSa2zbnKM,4756
deepmd/utils/tabulate.py,sha256=xBfGaM_EikpPImstDcdalQnJcgcPrIrqPT6reVcKzUM,18012
deepmd/utils/tabulate_math.py,sha256=SD9wB5po4LgZElcI3D4yZGgXyo1WVkdoULfwwX0KL3g,22251
deepmd/utils/update_sel.py,sha256=mIBKtKd69MEXW7Cg_ue-qRKzo6uIP-Q-43Ek8PNBQU0,4494
deepmd/utils/version.py,sha256=wEg8ff-JWaPMEdQmnpRssWR5lmOvI94_lliDDv4qJVo,970
deepmd/utils/weight_avg.py,sha256=60Rqbv4AsuvDVeCwkvA6vO7JDeo1HE_SZrayfSMrdg0,1348
deepmd_kit-3.2.0b0.dist-info/METADATA,sha256=tq-1RvcEL964p3MWbiu8hHWBVP3PLV3gc2RA5HKfrxQ,15838
deepmd_kit-3.2.0b0.dist-info/WHEEL,sha256=UuoZAOSw0gO-_q1Fo9HMor867MW3E7nWHTyMXB8Vj2Q,104
deepmd_kit-3.2.0b0.dist-info/entry_points.txt,sha256=dXr9x-lqsMRfjFotoclFDcjq_c1VHkQxybsSNpeHqEw,278
deepmd_kit-3.2.0b0.dist-info/licenses/LICENSE,sha256=fTqV5eBpeAZO0_jit8j4Ref9ikBSlHJ8xwj5TLg7gFk,7817
deepmd_kit-3.2.0b0.dist-info/RECORD,,
