tf.random.uniform

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Outputs random values from a uniform distribution.

tf.random.uniform(
    shape, minval=0, maxval=None, dtype=tf.dtypes.float32, seed=None, name=None
)

The generated values follow a uniform distribution in the range [minval, maxval). The lower bound minval is included in the range, while the upper bound maxval is excluded.

For floats, the default range is [0, 1). For ints, at least maxval must be specified explicitly.

In the integer case, the random integers are slightly biased unless maxval - minval is an exact power of two. The bias is small for values of maxval - minval significantly smaller than the range of the output (either 2**32 or 2**64).

Examples:

>>> tf.random.uniform(shape=[2])
<tf.Tensor: shape=(2,), dtype=float32, numpy=array([..., ...], dtype=float32)>
>>> tf.random.uniform(shape=[], minval=-1., maxval=0.)
<tf.Tensor: shape=(), dtype=float32, numpy=-...>
>>> tf.random.uniform(shape=[], minval=5, maxval=10, dtype=tf.int64)
<tf.Tensor: shape=(), dtype=int64, numpy=...>

The seed argument produces a deterministic sequence of tensors across multiple calls. To repeat that sequence, use tf.random.set_seed:

>>> tf.random.set_seed(5)
>>> tf.random.uniform(shape=[], maxval=3, dtype=tf.int32, seed=10)
<tf.Tensor: shape=(), dtype=int32, numpy=2>
>>> tf.random.uniform(shape=[], maxval=3, dtype=tf.int32, seed=10)
<tf.Tensor: shape=(), dtype=int32, numpy=0>
>>> tf.random.set_seed(5)
>>> tf.random.uniform(shape=[], maxval=3, dtype=tf.int32, seed=10)
<tf.Tensor: shape=(), dtype=int32, numpy=2>
>>> tf.random.uniform(shape=[], maxval=3, dtype=tf.int32, seed=10)
<tf.Tensor: shape=(), dtype=int32, numpy=0>

Without tf.random.set_seed but with a seed argument is specified, small changes to function graphs or previously executed operations will change the returned value. See tf.random.set_seed for details.

Args:

• shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
• minval: A Tensor or Python value of type dtype, broadcastable with maxval. The lower bound on the range of random values to generate (inclusive). Defaults to 0.
• maxval: A Tensor or Python value of type dtype, broadcastable with minval. The upper bound on the range of random values to generate (exclusive). Defaults to 1 if dtype is floating point.
• dtype: The type of the output: float16, float32, float64, int32, or int64.
• seed: A Python integer. Used in combination with tf.random.set_seed to create a reproducible sequence of tensors across multiple calls.
• name: A name for the operation (optional).

Returns:

A tensor of the specified shape filled with random uniform values.

Raises:

• ValueError: If dtype is integral and maxval is not specified.