tf.raw_ops.ParameterizedTruncatedNormal
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Outputs random values from a normal distribution.
tf.raw_ops.ParameterizedTruncatedNormal(
shape, means, stdevs, minvals, maxvals, seed=0, seed2=0, name=None
)
The parameters may each be a
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. |
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Last updated 2024-04-26 UTC.
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