423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2026-05-28 02:38:53 +08:00
Code Issues Packages Projects Releases Wiki Activity

Suppress type errors for Pyre upgrade

Browse Source 
Summary:
This diff was automatically generated by the Pyre per-target upgrade tool.

It adds `# pyre-fixme` or `pyrefly: ignore` comments to suppress type errors that will be introduced by an upcoming Pyre or Pyrefly release. These suppressions allow the upgrade to proceed without breaking existing code.

Pyrefly Upgrade - f-string fix

#pyreupgrade

Differential Revision: D105268300

fbshipit-source-id: 2f19758e20755944509fe14fc256002c652052a5
This commit is contained in:
generatedunixname89002005307016
2026-05-14 20:27:36 -07:00
committed by meta-codesync[bot]
parent b6a77ad7aa
commit c307c64c70
2 changed files with 3 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
projects/implicitron_trainer/impl/optimizer_factory.py
View File

@@ -169,6 +169,7 @@ class ImplicitronOptimizerFactory(OptimizerFactoryBase):
gamma=self.gamma, gamma=self.gamma,
) )
elif self.lr_policy.casefold() == "Exponential".casefold(): elif self.lr_policy.casefold() == "Exponential".casefold():
# pyre-fixme[28]: Unexpected keyword argument `verbose`.
scheduler = torch.optim.lr_scheduler.LambdaLR( scheduler = torch.optim.lr_scheduler.LambdaLR(
optimizer, optimizer,
lambda epoch: self.gamma ** (epoch / self.exponential_lr_step_size), lambda epoch: self.gamma ** (epoch / self.exponential_lr_step_size),
@@ -188,6 +189,7 @@ class ImplicitronOptimizerFactory(OptimizerFactoryBase):
gamma = self.gamma ** (epoch_rest / self.exponential_lr_step_size) gamma = self.gamma ** (epoch_rest / self.exponential_lr_step_size)
return gamma return gamma
# pyre-fixme[28]: Unexpected keyword argument `verbose`.
scheduler = torch.optim.lr_scheduler.LambdaLR( scheduler = torch.optim.lr_scheduler.LambdaLR(
optimizer, _get_lr, verbose=False optimizer, _get_lr, verbose=False
) )

1
pytorch3d/io/ply_io.py
View File

@@ -587,6 +587,7 @@ def _read_ply_element_binary_nolists(f, definition: _PlyElementType, big_endian:
# piece = data[:, offset:end_offset].view(_PLY_TYPES[dtype].np_type) # piece = data[:, offset:end_offset].view(_PLY_TYPES[dtype].np_type)
# but it fails in the general case # but it fails in the general case
# because of https://github.com/numpy/numpy/issues/9496. # because of https://github.com/numpy/numpy/issues/9496.
# pyre-fixme[16]: Module `stride_tricks` has no attribute `as_strided`.
piece = np.lib.stride_tricks.as_strided( piece = np.lib.stride_tricks.as_strided(
data[:1, offset:end_offset].view(_PLY_TYPES[dtype].np_type), data[:1, offset:end_offset].view(_PLY_TYPES[dtype].np_type),
shape=(definition.count, count), shape=(definition.count, count),