Set seed per sample for OpInfo tests + support for restricting to a single sample input (#128238)

This PR:
* Sets a random seed before generating each sample for an OpInfo test. It does this by intercepting the sample input iterator via `TrackedInputIter`, optionally setting the seed to a test name specific seed before each iterator call (default is to set the seed).
    * Some quick and dirty benchmarking shows (hopefully) negligible overhead from setting the random seed before each sample input generation. For a trivial (single assert) test that uses `@ops`:
* Uncovered a bunch of test issues:
    * Test breakdown (>100 total)
        * A lot of tolerance issues (tweaked tolerance values to fix)
        * 1 broken OpInfo (`sample_inputs_masked_fill` was generating a sample of the wrong dtype)
        * 3 actually broken semantics (for masked tensor; added xfails)
        * 4 Jacobian mismatches (added xfails)
        * 2 nan results (skip for now, need fixing)
        * 3 results too far from reference result (add xfails)
* Skips MPS tests for now (there are so many failures!). Those will default to the old behavior.

**before (no seed setting):**
```
real	0m21.306s
user	0m19.053s
sys	0m5.192s
```

**after (with seed setting):**
```
real	0m21.905s
user	0m19.578s
sys	0m5.390s
```

* Utilizing the above for reproducible sample input generation, adds support for restricting the iterator to a single sample input. This is done via an env var `PYTORCH_OPINFO_SAMPLE_INPUT_INDEX` and its usage is included in the repro command.

```
======================================================================
ERROR: test_bar_add_cuda_uint8 (__main__.TestFooCUDA.test_bar_add_cuda_uint8)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/jbschlosser/branches/testing_updates/torch/testing/_internal/common_device_type.py", line 971, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/jbschlosser/branches/testing_updates/test/test_ops.py", line 2671, in test_bar
    self.assertFalse(True)
AssertionError: True is not false

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/jbschlosser/branches/testing_updates/torch/testing/_internal/common_utils.py", line 2816, in wrapper
    method(*args, **kwargs)
  File "/home/jbschlosser/branches/testing_updates/torch/testing/_internal/common_utils.py", line 2816, in wrapper
    method(*args, **kwargs)
  File "/home/jbschlosser/branches/testing_updates/torch/testing/_internal/common_device_type.py", line 419, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/jbschlosser/branches/testing_updates/torch/testing/_internal/common_utils.py", line 1426, in wrapper
    fn(*args, **kwargs)
  File "/home/jbschlosser/branches/testing_updates/torch/testing/_internal/common_device_type.py", line 982, in test_wrapper
    raise new_e from e
Exception: Caused by sample input at index 3: SampleInput(input=Tensor[size=(10, 5), device="cuda:0", dtype=torch.uint8], args=TensorList[Tensor[size=(), device="cuda:0", dtype=torch.uint8]], kwargs={}, broadcasts_input=False, name='')

To execute this test, run the following from the base repo dir:
    PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=3 python test/test_ops.py -k TestFooCUDA.test_bar_add_cuda_uint8

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

----------------------------------------------------------------------
Ran 1 test in 0.037s

FAILED (errors=1)
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/128238
Approved by: https://github.com/janeyx99, https://github.com/justinchuby

test/functorch/test_eager_transforms.py

@@ -3397,6 +3397,8 @@ class TestComposability(TestCase):
         new_cotangent = torch.randn(())
         self.assertEqual(fx_f(new_cotangent, True, True), vjp_fn(new_cotangent))
 
+    # FIXME: test fails in Windows
+    @unittest.skipIf(IS_WINDOWS, "fails in Windows; needs investigation")
     @unittest.skipIf(IS_FBCODE, "can't subprocess in fbcode")
     # it is redundant to run this test twice on a machine that has GPUs
     @onlyCPU