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voxel_grid_if -> remove union type from the settings.

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Summary: see title

Reviewed By: shapovalov

Differential Revision: D40803670

fbshipit-source-id: 211189167837af577d6502a698e2f3fb3aec3e30
This commit is contained in:
David Novotny 2022-10-31 11:37:43 -07:00 committed by Facebook GitHub Bot
parent f711c4bfe9
commit bea84a6fcd
2 changed files with 5 additions and 9 deletions
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2
projects/implicitron_trainer/tests/experiment.yaml
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@ -420,7 +420,7 @@ model_factory_ImplicitronModelFactory_args:
- 128
- 128
scaffold_empty_space_threshold: 0.001
scaffold_occupancy_chunk_size: 'inf'
scaffold_occupancy_chunk_size: -1
scaffold_max_pool_kernel_size: 3
scaffold_filter_points: true
volume_cropping_epochs: []

12
pytorch3d/implicitron/models/implicit_function/voxel_grid_implicit_function.py
View File

@ -126,7 +126,8 @@ class VoxelGridImplicitFunction(ImplicitFunctionBase, torch.nn.Module):
every voxel, this calculation can be split into scaffold depth number of xy plane
calculations if you want the lowest memory usage, one calculation to calculate the
whole scaffold, but with higher memory footprint or any other number of planes.
Setting to 'inf' calculates all planes at the same time. Defaults to 'inf'.
Setting to a non-positive number calculates all planes at the same time.
Defaults to '-1' (=calculating all planes).
scaffold_max_pool_kernel_size (int): Size of the pooling region to use when
calculating the scaffold. Defaults to 3.
scaffold_filter_points (bool): If set to True the points will be filtered using
@ -173,7 +174,7 @@ class VoxelGridImplicitFunction(ImplicitFunctionBase, torch.nn.Module):
scaffold_calculating_epochs: Tuple[int, ...] = ()
scaffold_resolution: Tuple[int, int, int] = (128, 128, 128)
scaffold_empty_space_threshold: float = 0.001
scaffold_occupancy_chunk_size: Union[str, int] = "inf"
scaffold_occupancy_chunk_size: int = -1
scaffold_max_pool_kernel_size: int = 3
scaffold_filter_points: bool = True
@ -199,11 +200,6 @@ class VoxelGridImplicitFunction(ImplicitFunctionBase, torch.nn.Module):
)
# pyre-ignore[16]
self._scaffold_ready = False
if type(self.scaffold_occupancy_chunk_size) != int:
if self.scaffold_occupancy_chunk_size != "inf":
raise ValueError(
"`scaffold_occupancy_chunk_size` has to be int or 'inf'."
)
def forward(
self,
@ -504,7 +500,7 @@ class VoxelGridImplicitFunction(ImplicitFunctionBase, torch.nn.Module):
chunk_size = (
self.scaffold_occupancy_chunk_size
if type(self.scaffold_occupancy_chunk_size) == int
if self.scaffold_occupancy_chunk_size > 0
else points.shape[-1]
)
for k in range(0, points.shape[-1], chunk_size):