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Added torchann tests for gromacs and namd (only when libtorch is linked)
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gromacs/tests/library/000_torchann/AutoDiff/test.colvars.state.stripped
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configuration { | ||
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22 changes: 22 additions & 0 deletions
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gromacs/tests/library/000_torchann/AutoDiff/test.colvars.traj
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# step nn_0 r_nn_0 | ||
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gromacs/tests/library/000_torchann/AutoDiff/test.restart.colvars.state.stripped
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---|---|---|
@@ -0,0 +1,63 @@ | ||
configuration { | ||
step 40 | ||
dt 1.000000e+00 | ||
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colvar { | ||
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abf { | ||
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22 changes: 22 additions & 0 deletions
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gromacs/tests/library/000_torchann/AutoDiff/test.restart.colvars.traj
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@@ -0,0 +1,22 @@ | ||
# step nn_0 r_nn_0 | ||
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75 changes: 75 additions & 0 deletions
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gromacs/tests/library/000_torchann/AutoDiff/test.restart.pmf
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1.25000000000000e+02 5.05279709508800e-01 | ||
1.30000000000000e+02 4.96715646635770e-01 | ||
1.35000000000000e+02 4.88151583762739e-01 | ||
1.40000000000000e+02 4.79587520889709e-01 | ||
1.45000000000000e+02 4.71023458016678e-01 | ||
1.50000000000000e+02 4.62459395143647e-01 | ||
1.55000000000000e+02 4.53895332270617e-01 | ||
1.60000000000000e+02 4.45331269397586e-01 | ||
1.65000000000000e+02 4.36767206524556e-01 | ||
1.70000000000000e+02 4.28203143651525e-01 | ||
1.75000000000000e+02 4.19639080778495e-01 |
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import torch | ||
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class MyModel(torch.nn.Module): | ||
def __init__(self): | ||
super().__init__() | ||
def forward(self, x): | ||
return x | ||
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model = MyModel() | ||
scripted_cv_filename = f'./identity.pt' | ||
torch.jit.script(model).save(scripted_cv_filename) | ||
|
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:-) GROMACS - gmx mdrun, 2021.6-Colvars-2023-09-07 (-: | ||
colvars: Initializing the collective variables module, version 2023-09-07. | ||
colvars: Using GROMACS interface, version "2023-07-06". |
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colvarsTrajFrequency 1 | ||
colvarsRestartFrequency 10 | ||
indexFile index.ndx | ||
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colvar { | ||
name nn_0 | ||
lowerBoundary -180.0 | ||
upperBoundary 180 | ||
width 5.0 | ||
extendedLagrangian on | ||
extendedFluctuation 5.0 | ||
extendedTimeConstant 200 | ||
extendedTemp 300 | ||
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torchann { | ||
modelFile identity.pt | ||
m_output_index 0 | ||
period 360 | ||
doubleInputTensor on | ||
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dihedral { | ||
group1 { | ||
indexGroup group1 | ||
} | ||
group2 { | ||
indexGroup group2 | ||
} | ||
group3 { | ||
indexGroup group3 | ||
} | ||
group4 { | ||
indexGroup group4 | ||
} | ||
} | ||
} | ||
} | ||
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abf { | ||
colvars nn_0 | ||
fullSamples 0 | ||
} | ||
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