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tf.random.normal

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Outputs random values from a normal distribution.

Example that generates a new set of random values every time:

tf.random.set_seed(5);
tf.random.normal([4], 0, 1, tf.float32)
<tf.Tensor: shape=(4,), dtype=float32, numpy=..., dtype=float32)>

Example that outputs a reproducible result:

tf.random.set_seed(5);
tf.random.normal([2,2], 0, 1, tf.float32, seed=1)
<tf.Tensor: shape=(2, 2), dtype=float32, numpy=
array([[-1.3768897 , -0.01258316],
      [-0.169515   ,  1.0824056 ]], dtype=float32)>

In this case, we are setting both the global and operation-level seed to ensure this result is reproducible. See tf.random.set_seed for more information.

Args
shape A 1-D integer Tensor or Python array. The shape of the output tensor.
mean A Tensor or Python value of type dtype, broadcastable with stddev. The mean of the normal distribution.
stddev A Tensor or Python value of type dtype, broadcastable with mean. The standard deviation of the normal distribution.
dtype The type of the output.
seed A Python integer. Used to create a random seed for the distribution. See tf.random.set_seed for behavior.
name A name for the operation (optional).
Returns
A tensor of the specified shape filled with random normal values.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/random/normal