tf.raw_ops.ParameterizedTruncatedNormal
Outputs random values from a normal distribution. The parameters may each be a
tf.raw_ops.ParameterizedTruncatedNormal(
shape, means, stdevs, minvals, maxvals, seed=0, seed2=0, name=None
)
scalar which applies to the entire output, or a vector of length shape[0] which stores the parameters for each batch.
| Args | |
|---|---|
shape |
A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor. Batches are indexed by the 0th dimension. |
means |
A Tensor. Must be one of the following types: half, bfloat16, float32, float64. The mean parameter of each batch. |
stdevs |
A Tensor. Must have the same type as means. The standard deviation parameter of each batch. Must be greater than 0. |
minvals |
A Tensor. Must have the same type as means. The minimum cutoff. May be -infinity. |
maxvals |
A Tensor. Must have the same type as means. The maximum cutoff. May be +infinity, and must be more than the minval for each batch. |
seed |
An optional int. Defaults to 0. If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |
seed2 |
An optional int. Defaults to 0. A second seed to avoid seed collision. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as means. |
© 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/raw_ops/ParameterizedTruncatedNormal