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pt: make jit happy with torch 2.0.0 #3443

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Mar 11, 2024
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pt: make jit happy with torch 2.0.0 #3443

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3a0dca0
pt: make jit happy with torch 2.0.0
njzjz Mar 11, 2024
c0eaa2b
Merge branch 'devel' into make-jit-happy
wanghan-iapcm Mar 11, 2024
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3 changes: 3 additions & 0 deletions deepmd/pt/model/task/dipole.py
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Expand Up @@ -192,3 +192,6 @@
# (nframes, nloc, 3)
out = torch.bmm(out, gr).squeeze(-2).view(nframes, nloc, 3)
return {self.var_name: out.to(env.GLOBAL_PT_FLOAT_PRECISION)}

# make jit happy with torch 2.0.0
exclude_types: List[int]

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6 changes: 6 additions & 0 deletions deepmd/pt/model/task/ener.py
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Expand Up @@ -214,6 +214,9 @@
"""
return self._forward_common(descriptor, atype, gr, g2, h2, fparam, aparam)

# make jit happy with torch 2.0.0
exclude_types: List[int]

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@Fitting.register("ener")
class EnergyFittingNet(InvarFitting):
Expand Down Expand Up @@ -262,6 +265,9 @@
"type": "ener",
}

# make jit happy with torch 2.0.0
exclude_types: List[int]

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@Fitting.register("direct_force")
@Fitting.register("direct_force_ener")
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3 changes: 3 additions & 0 deletions deepmd/pt/model/task/polarizability.py
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Expand Up @@ -316,3 +316,6 @@
out = out + bias

return {self.var_name: out.to(env.GLOBAL_PT_FLOAT_PRECISION)}

# make jit happy with torch 2.0.0
exclude_types: List[int]

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