Suppress type errors for Pyre upgrade

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

projects/implicitron_trainer/impl/optimizer_factory.py

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

pytorch3d/io/ply_io.py

@@ -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)
         # but it fails in the general case
         # 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(
             data[:1, offset:end_offset].view(_PLY_TYPES[dtype].np_type),
             shape=(definition.count, count),