pingzhili

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cg-schnet

like 0

• "mlcg.nn.radial_basis.exp_normal.ExpNormalBasis",
• "torch.nn.modules.linear.Linear",
• "numpy.core.multiarray.scalar",
• "torch.Tensor",
• "torch.nn.modules.container.Sequential",
• "torch_geometric.nn.aggr.basic.SumAggregation",
• "__builtin__.set",
• "torch_geometric.nn.conv.utils.inspector.Inspector",
• "inspect.Parameter",
• "inspect._empty",
• "collections.OrderedDict",
• "torch.nn.modules.sparse.Embedding",
• "_operator.getitem",
• "_codecs.encode",
• "mlcg.nn.gradients.SumOut",
• "numpy.dtype",
• "__builtin__.long",
• "mlcg.nn.prior.Repulsion",
• "torch._utils._rebuild_tensor_v2",
• "mlcg.nn.schnet.InteractionBlock",
• "torch.nn.modules.activation.Tanh",
• "mlcg.nn.mlp.MLP",
• "torch._utils._rebuild_parameter",
• "inspect._ParameterKind",
• "typing.Union",
• "mlcg.nn.cutoff.CosineCutoff",
• "torch.nn.modules.container.ModuleDict",
• "mlcg.nn.prior.GeneralBonds",
• "torch.FloatStorage",
• "__builtin__.type",
• "mlcg.nn.schnet.CFConv",
• "mlcg.nn.prior.Dihedral",
• "mlcg.nn.gradients.GradientsOut",
• "mlcg.nn.prior.GeneralAngles",
• "mlcg.nn.schnet.StandardSchNet"

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