e3nn
View on PyPI — Reverse Dependencies (16)
0.5.4 | e3nn-0.5.4-py3-none-any.whl |
Wheel Details
Project: | e3nn |
Version: | 0.5.4 |
Filename: | e3nn-0.5.4-py3-none-any.whl |
Download: | [link] |
Size: | 447203 |
MD5: | b158edb8d41ba1d67fc2fa283a67a00e |
SHA256: | 4c449f727fb72037908e2eddfb0479ef756268a29b3b0ddb00ed008f0dc638f3 |
Uploaded: | 2024-11-06 02:07:48 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | setuptools (75.3.0) |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
---|---|---|
docs/Makefile | sha256=i2WHuFlgfyAPEW4ssEP8NY4cOibDJrVjvzSEU8_Ggwc | 634 |
docs/conf.py | sha256=yVcIuz_OQwy-pz90cZuPMMiVqL9yD3yNRMnmrLkXtBw | 3939 |
docs/index.rst | sha256=mEtZdplIbZbPDbZqaqx9zmgtxXU4TaaMG40VwWr6W2U | 2870 |
docs/make.bat | sha256=tZPNHaGTFKQ9uaCFT2-S8sWSF1cVAtozIflJjAL6Fsg | 795 |
docs/requirements.txt | sha256=sELI90pyJeXXrNd8gUXlSe34qW7ju38rdOs2-vdWiVI | 291 |
docs/api/e3nn.rst | sha256=5WXlHcsbV2blFqtN2cIAD00kBvTvjQFT8cBN1hQ-vZ0 | 107 |
docs/api/io/cartesian_tensor.rst | sha256=KcAXv3xL9S2BN5j8goHFeK-Zu9W92Z1ZFpXyCQF8go4 | 111 |
docs/api/io/io.rst | sha256=frZv7DANVkedRgby855UlyCtsJkZ8LzzxQUP5pJw8u0 | 191 |
docs/api/io/spherical_tensor.rst | sha256=vfHzjK6Fc6StI2Mlcg98Fq-dPbtIwIm42uYxq9ecizY | 3122 |
docs/api/math/math.rst | sha256=ciAse7Caxuza3HnKiMMIftxoAEWAyJZHL2OemSAwaYs | 233 |
docs/api/nn/nn.rst | sha256=pvheDcFH7TNWblUeXkznbD-mkXTzxc5m1-AsdWBY6nE | 138 |
docs/api/nn/nn_bn.rst | sha256=qlYDorwj6a0zBP6rjIetKSoyTccwfxdSjM_x4FU8bdU | 111 |
docs/api/nn/nn_fc.rst | sha256=VUNqROGEZguO1r3ND-92xpz4jt3-BO3hEYpCM3vE9Sw | 141 |
docs/api/nn/nn_gate.rst | sha256=OFGdJPYOFmpY7nIfsRN2nCO_GzunZqATVMfRH0CeC4o | 148 |
docs/api/nn/nn_normact.rst | sha256=1FlXEVm3Bv1rwIBNIv01sWm5GD71WslzyC-QiZRtpWY | 120 |
docs/api/nn/nn_s2act.rst | sha256=i4Q0ReWEScbonqm6spEnKqKxI5kPzLG8mSwSYrewYb0 | 116 |
docs/api/nn/models/gate_points_2101.rst | sha256=0MNR9T9v6UDxyQwf3wu2xYuSpJi-fY5xbjpm7CDVNo0 | 1557 |
docs/api/nn/models/graph.svg | sha256=C_xf36qtb3feUqP7HwzA7rV7SOd506yOhL6AHcOX-Ik | 251097 |
docs/api/nn/models/models.rst | sha256=IWst2AQDWgOVd64FEsDfXmuWNKxRA58nTKaKIINgw7k | 109 |
docs/api/nn/models/v2103.rst | sha256=cYR845Ah6iNXvnWMechNC9ueRMZYU0Ukg2Nj9Pz9CTU | 2760 |
docs/api/o3/o3.rst | sha256=aqOv3EbZp4HUOb6-woB5jGsJHVxq_9vk95F9K3rrv00 | 356 |
docs/api/o3/o3_irreps.rst | sha256=CL5cKb1SXBLKoDBxhFGFgXFFxJfHYVJK815CzkRO1ko | 1969 |
docs/api/o3/o3_reduce.rst | sha256=nRiiy8m7gR_4HUx7VPD2p2Hvzw_LK-QdOF0ts2-hu0M | 145 |
docs/api/o3/o3_rotation.rst | sha256=LzP1w0Doet0L3eKT7NiILTwoLFF081WS3CQNXR_QDJE | 1643 |
docs/api/o3/o3_s2grid.rst | sha256=FT553skZHTR4zhZS7ZItKB02LiE1vNzDoUjy9p_i4TU | 348 |
docs/api/o3/o3_sh.rst | sha256=caT2oBl07QIuAAh72_JZOYOTNo_QKd0tpP7PqiNBq_g | 5908 |
docs/api/o3/o3_tp.rst | sha256=g_knbAwkiXz9BZHBqxeikKYxsYC6vl87brIuJpvp-3k | 4119 |
docs/api/o3/o3_wigner.rst | sha256=qV57k8RyE9y_ZDVM03XdMgPH9D5YPloKIDy0TLzBo5I | 107 |
docs/api/util/jit.rst | sha256=nNFKT0n2uTlxVYkP7qMwjbsqmSO3mUOeaDZKukJCySw | 131 |
docs/api/util/test.rst | sha256=sGrBsWwBwV98wue3UVmZQLSy3x7QdzAuylFYU2HXQNQ | 133 |
docs/api/util/util.rst | sha256=4b3fObs2QMCgJr9lGt7esWMPu2fNYAqPxJpqVZ1C3qc | 100 |
docs/examples/examples.rst | sha256=zuiccWFxLlGXtWcDKsUrb0zMeTilaCX9TmWRVNRL_O4 | 160 |
docs/examples/tetris_gate.rst | sha256=DfUFC6olwomcWVffglCJvp7QcENUHjQiKGB0CJIiJ-4 | 299 |
docs/examples/tetris_polynomial.rst | sha256=Igx2DXRQLvSYrnFyI_13GWsi1hbCMN6hEgOC5EzQX6A | 845 |
docs/guide/change_of_basis.rst | sha256=pjvg_X6pkHDuzYuP5XIi8ApStmcw_dlr4bMztt0cC0g | 1936 |
docs/guide/convolution.rst | sha256=tn6HuYMoplbfYoPASlPSl9kdwhaRE84HO0hY6CDFFMA | 7651 |
docs/guide/equivar_testing.rst | sha256=q-H6Nt1ZQvrZRrz1N1JtxubzGLdNzf66j4xd-Ywd65U | 3102 |
docs/guide/guide.rst | sha256=xkRmpzGvJhGWjKJY9bzNZubNW9fF_uFb3rJ9ngsB4mI | 306 |
docs/guide/installation.md | sha256=5eIPyIKHMveqDS1EFhL6tzC7ExiKKXjEdy6-4olz2tg | 34 |
docs/guide/irreps.rst | sha256=Zb4Y6H5jeqzoU69Tc4EICdFvjzQsy76ML8ISxQJdH04 | 2139 |
docs/guide/jit.rst | sha256=dE44mQbqIqoxwoGPzl_iIgSzV_uc4wVfka_xlAIlRmg | 8446 |
docs/guide/normalization.rst | sha256=JLhjILmE_UQ9qDwSVhrQm4PekiibHF209BtYep0Xofs | 1958 |
docs/guide/periodic_boundary_conditions.rst | sha256=v14gc2zjwcHKAeimMwMEfI3ZE99Xtgj8FhrebL3wsMk | 9810 |
docs/guide/transformer.png | sha256=yafU_Ip9pu70-pBiC5VJL3fWMdMzORCUtJb20vTC3h8 | 199704 |
docs/guide/transformer.rst | sha256=KZwZH9lrMcF58K9ScvFqBmXUxumGIGa3dl_O_jrs_3c | 9772 |
e3nn/__init__.py | sha256=TlhuYxHp22IBDA-pl2-VRKyOPy6Im948pwhJfmGbbjU | 840 |
e3nn/io/__init__.py | sha256=mqYvgYuENwm5XbEkTESla0TNqbH_zKANFOu7Zmaaq-I | 156 |
e3nn/io/_cartesian_tensor.py | sha256=lvSzja8dVUrVqQXDem7_-KUraZYkcRm2089MISy6Rxw | 3499 |
e3nn/io/_spherical_tensor.py | sha256=rDKRzNr9wQBOMN26EoQ0-f7-9-hfc2EdV26Yho5RZWk | 12963 |
e3nn/math/__init__.py | sha256=7OJLB9bY5R0sx_0AL67B5bc9wZgvyuzdwQjPW1v6ZGk | 499 |
e3nn/math/_linalg.py | sha256=tdAtfNNzyfHhEV_O-HtVhr02j5y4ccyKKqEFPh2gkBc | 2485 |
e3nn/math/_normalize_activation.py | sha256=T7prAw2gYr9aXjPXVCbbuMADkMJ4IOZzSWKLZWIs2lM | 1883 |
e3nn/math/_reduce.py | sha256=VzYq6TV7saCkuAFv3ycqMTna8i1gY4pgfHzisKzjZgE | 3918 |
e3nn/math/_soft_one_hot_linspace.py | sha256=mxkJ9vMrd9Jc0ZIEUJcVfjbm3uCWfiJct-kyo31lwVA | 4484 |
e3nn/math/_soft_unit_step.py | sha256=Uro_7KIjkFZ4MZWc4QeNIqAKbXQqHi_ohZRcftwbKss | 1181 |
e3nn/math/perm.py | sha256=6A1Vc2nLMxUMYYlCB3U7LqBXdSSRoQFI3424FVAqENY | 3135 |
e3nn/nn/__init__.py | sha256=Oa5Coy_MwoYPBHqkqtqTGPCLN6-IxIzq7KsL4yhI2QU | 551 |
e3nn/nn/_activation.py | sha256=hhwbkVJDn8SUwdwKJiWKESzXLbTAtqGZ_zfJ6kn4pkk | 3583 |
e3nn/nn/_batchnorm.py | sha256=L1x2cQEalVWDI5oikLVS5E3JYV6O-m2XPAyImp7tobc | 7353 |
e3nn/nn/_dropout.py | sha256=i6arPAD-T7eG31ZBbDGfmfJxUnM1axMX9gGcrE1i018 | 1937 |
e3nn/nn/_extract.py | sha256=6qvmai1RNC12_y2UFb9LHFDlq0_gjN2XyVOv_1Tr3I8 | 3429 |
e3nn/nn/_fc.py | sha256=YAFXjQR07rsOlCjnBDfqbF60K8RGH8emSNnR_y13Qr0 | 2530 |
e3nn/nn/_gate.py | sha256=pKdv5kjXWzrZUFjrSuPbk2VOYS-tgK2j-HKNLLuFgVk | 5491 |
e3nn/nn/_identity.py | sha256=KORsad3GWHx9IVsRqyTGi8fKmKuh4AhsGafBuCK2Rb8 | 931 |
e3nn/nn/_normact.py | sha256=-fPxWjsYCjwxcSgX3RSc8qsydM93VtKxOrgy9F0wBsk | 3771 |
e3nn/nn/_s2act.py | sha256=xDW_6_rsBi6dcX3PvSVOjIbodNyP-wKpO2QBpG-fYPg | 4016 |
e3nn/nn/_so3act.py | sha256=QA30rYFmYw8J_FVUYOHQYI4h-xA8-Fuw-2PKplF4eA4 | 1589 |
e3nn/nn/models/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
e3nn/nn/models/gate_points_2101.py | sha256=zVIMWgs5o_5xSFISJitMXtbY66N50YWtEO8-iuo71NY | 11755 |
e3nn/nn/models/gate_points_2102.py | sha256=H8memH13Q2xGB7pmNuA0wAl5xbYs68Mgg6i-Dt2ZaAE | 12156 |
e3nn/nn/models/v2103/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
e3nn/nn/models/v2103/conv_points_in_out.py | sha256=kyqQbRR0AFYKRDWs2RN8KSOxOAFUZW0E0xSRquQLYXs | 5016 |
e3nn/nn/models/v2103/gate_points_message_passing.py | sha256=c3To8VqIPAc08Va3QB0NxTubx8U-Aiyuqp5nR61GI3s | 5384 |
e3nn/nn/models/v2103/gate_points_networks.py | sha256=JgyGZ2fU3R2BvXr4m8r730pDJ--90hP1_4uP9wjByQw | 6657 |
e3nn/nn/models/v2103/points_convolution.py | sha256=hbKz2vSFILWkltsIaRHIH1NjRUyjIxASA1Iw8A4ewjA | 3715 |
e3nn/nn/models/v2103/voxel_convolution.py | sha256=hZRcJVkIZR6bgYNv6EUo0tj1XLvhvQ7ZQRR9PZJwnMU | 4897 |
e3nn/nn/models/v2104/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
e3nn/nn/models/v2104/voxel_convolution.py | sha256=R3IPNROx52Bo-G8fjYJF5ljFSx6oi0LUbDDGqUnZm8w | 5517 |
e3nn/nn/models/v2106/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
e3nn/nn/models/v2106/gate_points_message_passing.py | sha256=WmiuTAcOcbLLZyzfUaizINIpkd40OXaJydr6X2mgZMk | 6088 |
e3nn/nn/models/v2106/gate_points_networks.py | sha256=UoN8M5MnFn282X-OTJwz-Q0zF8yJ4Fomoq6-DI3-fzY | 7495 |
e3nn/nn/models/v2106/points_convolution.py | sha256=iscsTzn0f-dBrwpmQR6n8fQ9_j_YyBjuWdBrPSElryI | 4481 |
e3nn/nn/models/v2203/sparse_voxel_convolution.py | sha256=Eg5vSFkusG2TXBNdsx5eQ-S3M6J-ayFPkfy64ESyWWI | 3833 |
e3nn/o3/__init__.py | sha256=kgzHqeJTvswstRxsEJc6PXFkvibbXeXYnPnATppjc38 | 2876 |
e3nn/o3/_angular_spherical_harmonics.py | sha256=TJRK7KS6CB00yQ3QASNO4zp2OBEgYEEmDvD0DtOcqeY | 5882 |
e3nn/o3/_irreps.py | sha256=g59eNt-WdyEeY5vXXucGmMMdinBk0JM0-8piHabR87I | 19880 |
e3nn/o3/_linear.py | sha256=QSWVt5GDIDvP-4lmKdW0U1F5lqmuheOLVO313ewiXaY | 17512 |
e3nn/o3/_norm.py | sha256=42nzVC73H5F9JnI33AtZoS1-NQFzOvTD4bWP3MtpTvE | 1761 |
e3nn/o3/_reduce.py | sha256=kfeK32V5QLnT6zuBe46ayaPta0ADtwWDR_yjH0IDj18 | 10880 |
e3nn/o3/_rotation.py | sha256=EyfAqrppsrxEW7ciAJIY0rywOvrUS5q6aLRxHYQbSE4 | 16949 |
e3nn/o3/_s2grid.py | sha256=dEC4KtI73OUcItHnnyIInpFP0IvnJhFw8UyIoV7ObQQ | 15739 |
e3nn/o3/_so3grid.py | sha256=BaHcOl0pEu6MMXuiOOUXiMLWiXHXKDEE-3YNftbRFBo | 2510 |
e3nn/o3/_spherical_harmonics.py | sha256=a7zu0sLIvjVeqs8hwsRvVWmtnw4axyOj2d4Z_jxj10o | 63065 |
e3nn/o3/_wigner.py | sha256=oJGR8ZvDj7E7-OzO1BBIN7PAYYNk6a06_-GH_ScIzoA | 9851 |
e3nn/o3/_tensor_product/__init__.py | sha256=4rBDnrUAb9eL_eGEJOrpkddZl1mNbhuFAE6hNG6Abic | 353 |
e3nn/o3/_tensor_product/_codegen.py | sha256=58klMQp5SiMHmW8RD5DMQn8jLAO_2JiioAsgdK3f0Dk | 34090 |
e3nn/o3/_tensor_product/_instruction.py | sha256=rap-2NiMOcmUGvbDDy52rBTZRDZHNVluppACwWIo51o | 199 |
e3nn/o3/_tensor_product/_sub.py | sha256=FP-k4kaLT2zyZD1VClM3P1owsRVVxaBzHdoivlUpctg | 13746 |
e3nn/o3/_tensor_product/_tensor_product.py | sha256=bKuhwUX_QM-h0zJG6GCK2PRq8ObBoC_IT5WRMB5GktM | 30397 |
e3nn/o3/experimental/__init__.py | sha256=lKVdDJqfsgphz-0yHhtVxE0xNrQyOmXWw2D42Jfr_pc | 208 |
e3nn/o3/experimental/_elementwise_tp.py | sha256=uTBSG12rDkUfORlDg-v4h-g8fDma1SyiKwJwO7TMu9Y | 4088 |
e3nn/o3/experimental/_full_tp.py | sha256=7foWPMTQCzbUIcaOVs-gCLizPh9gWw_JhdCohonJbrI | 3616 |
e3nn/o3/irrep/__init__.py | sha256=0lVkZnBVZGILIQ9NynCi0b8qHC6gx0_tP1ifV4YNjMc | 956 |
e3nn/util/__init__.py | sha256=K0KcvWk4uQ_wmzcagpHVLef5o3fafh9cokDUWzL8DKE | 370 |
e3nn/util/_argtools.py | sha256=KRdFoA_rR0CeRG0dfIt_mI2O16Tt3252M43PuQTAi0g | 6291 |
e3nn/util/_context.py | sha256=5LSXFomLiJomrshiuVjmrsnp3exuHKBHGgr77s5Cscc | 704 |
e3nn/util/datatypes.py | sha256=YH10PLQvxZUMMG4kXy7UMmuTSmTaR8PrbdSS2FZXAvk | 227 |
e3nn/util/default_type.py | sha256=0TCGtjbBN4z42AhAgEwXkCL-ycTLJ0cdbuh2r7TKHxE | 3262 |
e3nn/util/jit.py | sha256=ZSnKqRe04cugD5yR13zqVc32xUB6pqXYWIwpDMKtcDA | 14579 |
e3nn/util/test.py | sha256=KdPjkGPDMJ7KnFWoj30hXYYOj0Fb4TLtnRWHNBwK1lM | 18772 |
e3nn/util/codegen/__init__.py | sha256=tCkwzBlSoc8JH-FcQvV_Vc8JQbLTdet6hP8huTm2lXE | 69 |
e3nn/util/codegen/_mixin.py | sha256=movSE_fEKdJWoBQ6sAlLrOtYeogagalxRHhWre4G7Es | 4710 |
examples/README.md | sha256=bPzSg__OaroW5t0bvjKS1depZB6-FtTuvkXFC7Cjjt0 | 119 |
examples/atom_types.py | sha256=6aQLSpkquJ-0l_8-bR6fCHCfSAm1WKhRI18Rlzm9CjE | 3674 |
examples/tensor_product_benchmark.py | sha256=gmGfUa9SZGLSooezX15tcE49FF646112kijo9s_6pBE | 3451 |
examples/tensor_product_profile.py | sha256=mqYpQpRF-xJ1irOhI6B7NWf29XqsFLGxCU8XW6h-P44 | 3342 |
examples/tetris.py | sha256=wW_XQFVKhH0aay_OTIMO4GP1nIczC9eBuZqtr2spOvQ | 4463 |
examples/tetris_gate.py | sha256=jc6jx9-yW1V2OOj9_woiigQWpdosyb1Wp798-0XeUmo | 8037 |
examples/tetris_polynomial.py | sha256=j53mw8WPYCp7NG-7J4kaTQiCCGZ_xLZU0r1tBFfOXow | 6347 |
examples/s2cnn/mnist/README.md | sha256=7txDC_3gU-MZd6HszKz1Ljf972-otpshMjrJ77G5Ag8 | 120 |
examples/s2cnn/mnist/gendata.py | sha256=1VRXmTcY4mSN3Xdb6R91CLRjMw7gvFgTVAMOdGuXFYg | 7587 |
examples/s2cnn/mnist/train.py | sha256=P9yPlZ0XXO9HPuVF8T0vCzTyFOSo4V5Oa4S1BgUkQ-Q | 7211 |
e3nn-0.5.4.dist-info/LICENSE | sha256=L4dcFG9WdShBWsrxne8lMbZebbp_skhfJdht1LORKtc | 1389 |
e3nn-0.5.4.dist-info/METADATA | sha256=Kj44CGTQJ2YN9NgFYHJBd2ZOTFcPEGe55CPpuh7rJto | 5359 |
e3nn-0.5.4.dist-info/WHEEL | sha256=P9jw-gEje8ByB7_hXoICnHtVCrEwMQh-630tKvQWehc | 91 |
e3nn-0.5.4.dist-info/top_level.txt | sha256=pDrdycLvyb7dnKtUyIm4uMgndlW3CjnuZkBEBfRbjZ0 | 19 |
e3nn-0.5.4.dist-info/RECORD | — | — |
top_level.txt
docs
e3nn
examples