Outputs deterministic pseudorandom random values from a uniform distribution.
tf.raw_ops.StatelessRandomUniformV2(
shape,
key,
counter,
alg,
dtype=tf.dtypes.float32,
name=None
)
The generated values follow a uniform distribution in the range [0, 1). The
lower bound 0 is included in the range, while the upper bound 1 is excluded.
The outputs are a deterministic function of shape, key, counter and alg.
shape
Tensor. Must be one of the following types: int32, int64.
The shape of the output tensor.
key
Tensor of type uint64.
Key for the counter-based RNG algorithm (shape uint64[1]).
counter
Tensor of type uint64.
Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used.
alg
Tensor of type int32. The RNG algorithm (shape int32[]).
dtype
tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64. Defaults to tf.float32.
The type of the output.
name
Tensor of type dtype.
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Last updated 2024-04-26 UTC.