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upgrade pyre version in fbcode/vision
- batch 2
Differential Revision: D38448021 fbshipit-source-id: 966708035115b4870a74f0ca0bbf8ea88b853527
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@ -532,6 +532,7 @@ class GenericModel(ImplicitronModelBase): # pyre-ignore: 13
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return None
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return None
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loss = sum(losses_weighted)
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loss = sum(losses_weighted)
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assert torch.is_tensor(loss)
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assert torch.is_tensor(loss)
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# pyre-fixme[7]: Expected `Optional[Tensor]` but got `int`.
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return loss
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return loss
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def visualize(
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def visualize(
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@ -84,8 +84,6 @@ class VideoWriter:
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or a 2-tuple defining the size of the output image.
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or a 2-tuple defining the size of the output image.
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"""
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"""
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# pyre-fixme[6]: For 1st param expected `Union[PathLike[str], str]` but got
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# `Optional[str]`.
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outfile = os.path.join(self.cache_dir, self.regexp % self.frame_num)
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outfile = os.path.join(self.cache_dir, self.regexp % self.frame_num)
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if isinstance(frame, matplotlib.figure.Figure):
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if isinstance(frame, matplotlib.figure.Figure):
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@ -127,8 +125,6 @@ class VideoWriter:
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video_path: The path to the generated video.
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video_path: The path to the generated video.
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"""
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"""
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# pyre-fixme[6]: For 1st param expected `Union[PathLike[str], str]` but got
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# `Optional[str]`.
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regexp = os.path.join(self.cache_dir, self.regexp)
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regexp = os.path.join(self.cache_dir, self.regexp)
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if self.output_format == "visdom": # works for ppt too
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if self.output_format == "visdom": # works for ppt too
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@ -215,8 +215,6 @@ def load_obj(
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"""
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"""
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data_dir = "./"
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data_dir = "./"
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if isinstance(f, (str, bytes, Path)):
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if isinstance(f, (str, bytes, Path)):
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# pyre-fixme[6]: For 1st param expected `PathLike[Variable[AnyStr <: [str,
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# bytes]]]` but got `Union[Path, bytes, str]`.
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data_dir = os.path.dirname(f)
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data_dir = os.path.dirname(f)
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if path_manager is None:
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if path_manager is None:
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path_manager = PathManager()
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path_manager = PathManager()
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