SchNetPack
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Get Started
Installation
Training your first models
User guide
Overview
Configuration and CLI
Running MD simulations with the CLI
Tutorials
Preparing and loading your data
Training a neural network on QM9
Training a model on forces and energies
Molecular dynamics in SchNetPack
Force Fields for Materials
How-To
Batch-wise Structure Relaxation
LAMMPS Interface
Reference
schnetpack
schnetpack.atomistic
schnetpack.data
schnetpack.datasets
schnetpack.task
schnetpack.model
schnetpack.representation
schnetpack.nn
Basic layers
Equivariant layers
Radial basis
Cutoff
Activations
Ops
Factory functions
nn.build_mlp
nn.build_gated_equivariant_mlp
nn.replicate_module
replicate_module()
schnetpack.train
schnetpack.transform
schnetpack.md
SchNetPack
schnetpack.nn
nn.replicate_module
Edit on GitHub
nn.replicate_module
nn.
replicate_module
(
module_factory
:
Callable
[
[
]
,
torch.nn.Module
]
,
n
:
int
,
share_params
:
bool
)
[source]
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