Incompatible variable type fixed (#1288)

Summary:
**"filename"**: "projects/nerf/nerf/implicit_function.py"
**"warning_type"**: "Incompatible variable type [9]",
**"warning_message"**: " input_skips is declared to have type `Tuple[int]` but is used as type `Tuple[]`.",
**"warning_line"**: 256,
**"fix"**: input_skips: Tuple[int,...] = ()

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1288

Reviewed By: kjchalup

Differential Revision: D38615188

Pulled By: bottler

fbshipit-source-id: a014344dd6cf2125f564f948a3c905ceb84cf994

projects/nerf/nerf/implicit_function.py

@@ -26,7 +26,7 @@ class NeuralRadianceField(torch.nn.Module):
         n_hidden_neurons_xyz: int = 256,
         n_hidden_neurons_dir: int = 128,
         n_layers_xyz: int = 8,
-        append_xyz: Tuple[int] = (5,),
+        append_xyz: Tuple[int, ...] = (5,),
         use_multiple_streams: bool = True,
         **kwargs,
     ):
@@ -253,7 +253,7 @@ class MLPWithInputSkips(torch.nn.Module):
         output_dim: int,
         skip_dim: int,
         hidden_dim: int,
-        input_skips: Tuple[int] = (),
+        input_skips: Tuple[int, ...] = (),
     ):
         """
         Args:

projects/nerf/nerf/nerf_renderer.py

@@ -67,7 +67,7 @@ class RadianceFieldRenderer(torch.nn.Module):
         n_hidden_neurons_xyz: int = 256,
         n_hidden_neurons_dir: int = 128,
         n_layers_xyz: int = 8,
-        append_xyz: Tuple[int] = (5,),
+        append_xyz: Tuple[int, ...] = (5,),
         density_noise_std: float = 0.0,
         visualization: bool = False,
     ):