circleci fixes

Summary:
Misc fixes.

- most important: the mac image is gone so switch to a newer one.
- torch.concat is new; was used accidentally
- remove lpips from testing in meta.yaml as it is breaking the conda test. Better to leave the relevant tests failing in OSS.
- TypedDict usage is breaking implicitron on Python 3.7.

Reviewed By: patricklabatut

Differential Revision: D38458164

fbshipit-source-id: b16c26453a743b9a771e2a6787b9a4d2a52e41c2

.circleci/config.in.yml

@@ -159,7 +159,7 @@ jobs:
   binary_macos_wheel:
     <<: *binary_common
     macos:
-      xcode: "12.0"
+      xcode: "13.4.1"
     steps:
       - checkout
       - run:

.circleci/config.yml

@@ -159,7 +159,7 @@ jobs:
   binary_macos_wheel:
     <<: *binary_common
     macos:
-      xcode: "12.0"
+      xcode: "13.4.1"
     steps:
       - checkout
       - run:

packaging/pytorch3d/meta.yaml

@@ -47,7 +47,6 @@ test:
     - imageio
     - hydra-core
     - accelerate
-    - lpips
   commands:
     #pytest .
     python -m unittest discover -v -s tests -t .

pytorch3d/implicitron/dataset/data_loader_map_provider.py

@@ -199,7 +199,7 @@ class DoublePoolBatchSampler(Sampler[List[int]]):
                 torch.randperm(len(self.first_indices), generator=self.generator)
                 for _ in range(n_copies)
             ]
-            i_first = torch.concat(raw_indices)[:num_batches]
+            i_first = torch.cat(raw_indices)[:num_batches]
         else:
             i_first = torch.randperm(len(self.first_indices), generator=self.generator)
         first_indices = [self.first_indices[i] for i in i_first]

pytorch3d/implicitron/dataset/json_index_dataset.py

@@ -24,7 +24,7 @@ from typing import (
     Sequence,
     Tuple,
     Type,
-    TypedDict,
+    TYPE_CHECKING,
     Union,
 )
 
@@ -45,10 +45,16 @@ from .utils import is_known_frame_scalar
 logger = logging.getLogger(__name__)
 
 
-class FrameAnnotsEntry(TypedDict):
+if TYPE_CHECKING:
+    from typing import TypedDict
+
+    class FrameAnnotsEntry(TypedDict):
         subset: Optional[str]
         frame_annotation: types.FrameAnnotation
 
+else:
+    FrameAnnotsEntry = dict
+
 
 @registry.register
 class JsonIndexDataset(DatasetBase, ReplaceableBase):