tf.random.normal
Outputs random values from a normal distribution.
tf.random.normal(
shape, mean=0.0, stddev=1.0, dtype=tf.dtypes.float32, seed=None, name=None
)
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/r2.4/api_docs/python/tf/random/normal