eb8680
eb8680
/ funsor_regression.py
Created
May 17, 2021 04:04
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| """ | |
| In Funsor it is possible to program entirely without batch dimensions | |
| for a subset of PyTorch and Jax (including eliminating the batch/event | |
| dimension distinction in the PyTorch and NumPyro/TFP distribution APIs). | |
| Here is a simplified version of the mean computation in @murphyk's regression example. | |
| """ | |
| import torch | |
| import funsor | |
| funsor.set_backend("torch") |
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| diff --git a/torch/__init__.py b/torch/__init__.py | |
| index 83b88c246..96fe05813 100644 | |
| --- a/torch/__init__.py | |
| +++ b/torch/__init__.py | |
| @@ -279,7 +279,7 @@ import torch.multiprocessing | |
| import torch.sparse | |
| import torch.utils.backcompat | |
| import torch.onnx | |
| -import torch.jit | |
| +# import # torch.jit |