[feat]: add per-tensor add to repo (#1033)

* formatting change, no logical change

* formatting and name change, no logical change

* [refactor] sha1_store's path arg

- make sha1_store's path arg directly the path, not its parent
- this is because sha1_store is not like a .git or a .wgit dir, which is
  nested inside another "working" dir. It is simply a store, which
  is using a given dir.
- updated repo and tests as well.

* remove a test warning due to deprecated API from torch

* [refactor] change how dot_wgit_dir_path is used

- it should only be assigned in __init__.
- we use it in error checking in the rest APIs.

* simplify the init a bit

* refactor the sanity check

* moved some functions, no code change

* [feat] added per-tensor add to the repo

* enabled gzip compression on add

* fix a unit test

* add a note

* make sha1 store work on general dict

* handle general state_dict from a model, not just a module's one-level OrderedDict

* formatting

Co-authored-by: Min Xu <min.xu.public@gmail.com>

fair_dev/testing/testing.py

@@ -503,7 +503,7 @@ def objects_are_equal(a: Any, b: Any, raise_exception: bool = False, dict_key: O
         return all(objects_are_equal(x, y, raise_exception) for x, y in zip(a, b))
     elif torch.is_tensor(a):
         try:
-            # assert_allclose doesn't strictly test shape, dtype and device
+            # assert_close doesn't strictly test shape, dtype and device
             shape_dtype_device_match = a.size() == b.size() and a.dtype == b.dtype and a.device == b.device
             if not shape_dtype_device_match:
                 if raise_exception:
@@ -513,8 +513,11 @@ def objects_are_equal(a: Any, b: Any, raise_exception: bool = False, dict_key: O
                     raise AssertionError(msg)
                 else:
                     return False
-            # assert_allclose.
-            torch.testing.assert_allclose(a, b)
+            # assert_close.
+            if torch_version() < (1, 12, 0):
+                torch.testing.assert_allclose(a, b)
+            else:
+                torch.testing.assert_close(a, b)
             return True
         except (AssertionError, RuntimeError) as e:
             if raise_exception: