Revert "[docs] Update docs for NegativeBinomial (#45693)" (#63192)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/63192

**Summary**
This reverts commit 402caaeba513929dcfe12df183c764b0ef43f688. As per the
dicussion in #62178, this commit was not needed.

**Test Plan**
Continuous integration.

Test Plan: Imported from OSS

Reviewed By: VitalyFedyunin

Differential Revision: D30293202

Pulled By: SplitInfinity

fbshipit-source-id: 91ee7ad0523a9880605d83fe9712c39df67384a8

diff --git a/torch/distributions/negative_binomial.py b/torch/distributions/negative_binomial.py
index 4a8babb..4adb851 100644 (file)
--- a/torch/distributions/negative_binomial.py
+++ b/torch/distributions/negative_binomial.py
@@ -10,14 +10,14 @@ class NegativeBinomial(Distribution):
     Creates a Negative Binomial distribution, i.e. distribution
     of the number of successful independent and identical Bernoulli trials
     before :attr:`total_count` failures are achieved. The probability
-    of failure of each Bernoulli trial is :attr:`probs`.
+    of success of each Bernoulli trial is :attr:`probs`.
 
     Args:
         total_count (float or Tensor): non-negative number of negative Bernoulli
             trials to stop, although the distribution is still valid for real
             valued count
-        probs (Tensor): Event probabilities of failure in the half open interval [0, 1)
-        logits (Tensor): Event log-odds for probabilities of failure
+        probs (Tensor): Event probabilities of success in the half open interval [0, 1)
+        logits (Tensor): Event log-odds for probabilities of success
     """
     arg_constraints = {'total_count': constraints.greater_than_eq(0),
                        'probs': constraints.half_open_interval(0., 1.),