Switch over python calls to RandomPoissonV2.

Part 2 of Support int32/64 in tf.random_poisson().

PiperOrigin-RevId: 174071745

1 files changed, 2 insertions, 27 deletions

diff --git a/tensorflow/core/ops/random_ops.cc b/tensorflow/core/ops/random_ops.cc
index eee1ed1d2a..2429171fa9 100644
--- a/tensorflow/core/ops/random_ops.cc
+++ b/tensorflow/core/ops/random_ops.cc
@@ -265,8 +265,6 @@ output: A tensor with shape `shape + shape(alpha)`. Each slice
   `alpha[i0, i1, ...iN]`. The dtype of the output matches the dtype of alpha.
 )doc");
 
-// TODO(dhananayn): Deprecate RandomPoisson and switch over to RandomPoissonV2
-// after forward compatibility period has passed.
 REGISTER_OP("RandomPoisson")
     .SetIsStateful()
     .Input("shape: S")
@@ -283,32 +281,9 @@ REGISTER_OP("RandomPoisson")
       c->set_output(0, out);
       return Status::OK();
     })
+    .Deprecated(25, "Replaced by RandomPoissonV2")
     .Doc(R"doc(
-Outputs random values from the Poisson distribution(s) described by rate.
-
-This op uses two algorithms, depending on rate. If rate >= 10, then
-the algorithm by Hormann is used to acquire samples via
-transformation-rejection.
-See http://www.sciencedirect.com/science/article/pii/0167668793909974.
-
-Otherwise, Knuth's algorithm is used to acquire samples via multiplying uniform
-random variables.
-See Donald E. Knuth (1969). Seminumerical Algorithms. The Art of Computer
-Programming, Volume 2. Addison Wesley
-
-shape: 1-D integer tensor. Shape of independent samples to draw from each
-  distribution described by the shape parameters given in rate.
-rate: A tensor in which each scalar is a "rate" parameter describing the
-  associated poisson distribution.
-seed: If either `seed` or `seed2` are set to be non-zero, the random number
-  generator is seeded by the given seed.  Otherwise, it is seeded by a
-  random seed.
-seed2: A second seed to avoid seed collision.
-
-output: A tensor with shape `shape + shape(rate)`. Each slice
-  `[:, ..., :, i0, i1, ...iN]` contains the samples drawn for
-  `rate[i0, i1, ...iN]`. The dtype of the output matches the dtype of
-  rate.
+Use RandomPoissonV2 instead.
 )doc");
 
 REGISTER_OP("RandomPoissonV2")