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3e02ab8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | # This file is a part of the `nequip` package. Please see LICENSE and README at the root for information on using it.
import torch
import math
# Technically, use of this module should probably be guarded by conditional_torchscript_jit
# But its use as a drop-in replacement for functions like torch.nn.functional.silu makes that
# difficult, so, given the rarety of its use, we have just removed @torch.jit.script
def shifted_softplus(x):
return torch.nn.functional.softplus(x) - math.log(2.0)
class ShiftedSoftplus(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self, x):
return shifted_softplus(x)
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