tf.random.stateless_parameterized_truncated_normal | TensorFlow v2.16.1 (original) (raw)
tf.random.stateless_parameterized_truncated_normal
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Outputs random values from a truncated normal distribution.
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tf.compat.v1.random.stateless_parameterized_truncated_normal
tf.random.stateless_parameterized_truncated_normal(
shape, seed, means=0.0, stddevs=1.0, minvals=-2.0, maxvals=2.0, name=None
)
The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is more than 2 standard deviations from the mean are dropped and re-picked.
Examples:
Sample from a Truncated normal, with deferring shape parameters that broadcast.
means = 0.
stddevs = tf.math.exp(tf.random.uniform(shape=[2, 3]))
minvals = [-1., -2., -1000.]
maxvals = [[10000.], [1.]]
y = tf.random.stateless_parameterized_truncated_normal(
shape=[10, 2, 3], seed=[7, 17],
means=means, stddevs=stddevs, minvals=minvals, maxvals=maxvals)
y.shape
TensorShape([10, 2, 3])
| Args | |
|---|---|
| shape | A 1-D integer Tensor or Python array. The shape of the output tensor. |
| seed | A shape [2] Tensor, the seed to the random number generator. Must have dtype int32 or int64. (When using XLA, only int32 is allowed.) |
| means | A Tensor or Python value of type dtype. The mean of the truncated normal distribution. This must broadcast with stddevs, minvals andmaxvals, and the broadcasted shape must be dominated by shape. |
| stddevs | A Tensor or Python value of type dtype. The standard deviation of the truncated normal distribution. This must broadcast with means,minvals and maxvals, and the broadcasted shape must be dominated byshape. |
| minvals | A Tensor or Python value of type dtype. The minimum value of the truncated normal distribution. This must broadcast with means,stddevs and maxvals, and the broadcasted shape must be dominated byshape. |
| maxvals | A Tensor or Python value of type dtype. The maximum value of the truncated normal distribution. This must broadcast with means,stddevs and minvals, and the broadcasted shape must be dominated byshape. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A tensor of the specified shape filled with random truncated normal values. |