Advance the counter of a counter-based RNG.
tf.raw_ops.RngReadAndSkip(
resource, alg, delta, name=None
)
The state of the RNG after
rng_read_and_skip(n)
will be the same as that after uniform([n])
(or any other distribution). The actual increment added to the
counter is an unspecified implementation choice.
In the case that the input algorithm is RNG_ALG_AUTO_SELECT, the counter in the state needs to be of size int64[2], the current maximal counter size among algorithms. In this case, this op will manage the counter as if it is an 128-bit integer with layout [lower_64bits, higher_64bits]. If an algorithm needs less than 128 bits for the counter, it should use the left portion of the int64[2]. In this way, the int64[2] is compatible with all current RNG algorithms (Philox, ThreeFry and xla::RandomAlgorithm::RNG_DEFAULT). Downstream RNG ops can thus use this counter with any RNG algorithm.
Returns | |
---|---|
A Tensor of type int64 .
|