Skip to content

pt: make jit happy with torch 2.0.0 #3443

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
wanghan-iapcm merged 2 commits into from
Mar 11, 2024
Merged

pt: make jit happy with torch 2.0.0 #3443

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
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
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions deepmd/pt/model/task/dipole.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -192,3 +192,6 @@ def forward(
# (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]
6 changes: 6 additions & 0 deletions deepmd/pt/model/task/ener.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -214,6 +214,9 @@ def forward(
"""
return self._forward_common(descriptor, atype, gr, g2, h2, fparam, aparam)

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


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

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


@Fitting.register("direct_force")
@Fitting.register("direct_force_ener")
Expand Down
3 changes: 3 additions & 0 deletions deepmd/pt/model/task/polarizability.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -316,3 +316,6 @@ def forward(
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]