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{
  "commit": "afaee00feca07c565f6b080e021b3422bfc1e8d4",
  "tree": "394452dea559e13173a7658133e62c3d3da925ed",
  "parents": [
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  "author": {
    "name": "Mikayla Gawarecki",
    "email": "mikaylagawarecki@gmail.com",
    "time": "Wed Sep 28 17:38:29 2022 +0000"
  },
  "committer": {
    "name": "PyTorch MergeBot",
    "email": "pytorchmergebot@users.noreply.github.com",
    "time": "Wed Sep 28 20:15:02 2022 +0000"
  },
  "message": "Add python `nested_tensor` and `as_nested_tensor` constructors in `torch.nested` (#85593)\n\nRemove `torch.nested_tensor` which has erroneous behavior wrt gradients (could be either leaf or not leaf). Introduce `torch.nested.nested_tensor` and `torch.nested.as_nested_tensor` in the vein of `torch.tensor` and `torch.as_tensor`. Done in nested `__init__.py` for now but can move to pybind in future (when we want to load from numpy/nested lists ).\n\nDiscussed offline with @cpuhrsch and pybind constructor (https://github.com/pytorch/pytorch/pull/85536) was more gnarly than expected, so we can move to that when we do need loading from numpy etc.\n\nDifferential Revision: [D39806622](https://our.internmc.facebook.com/intern/diff/D39806622)\nPull Request resolved: https://github.com/pytorch/pytorch/pull/85593\nApproved by: https://github.com/drisspg, https://github.com/cpuhrsch\n",
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