tf.raw_ops.TruncatedNormal
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Outputs random values from a truncated normal distribution.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.TruncatedNormal
tf.raw_ops.TruncatedNormal(
shape, dtype, seed=0, seed2=0, name=None
)
The generated values follow a normal distribution with mean 0 and standard
deviation 1, except that values whose magnitude is more than 2 standard
deviations from the mean are dropped and re-picked.
Args |
|---|
shape
|
A Tensor. Must be one of the following types: int32, int64.
The shape of the output tensor.
|
dtype
|
A tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64.
The type of the output.
|
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 of type dtype.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.TruncatedNormal\n\n\u003cbr /\u003e\n\nOutputs random values from a truncated normal distribution.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.TruncatedNormal`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TruncatedNormal)\n\n\u003cbr /\u003e\n\n tf.raw_ops.TruncatedNormal(\n shape, dtype, seed=0, seed2=0, name=None\n )\n\nThe generated values follow a normal distribution with mean 0 and standard\ndeviation 1, except that values whose magnitude is more than 2 standard\ndeviations from the mean are dropped and re-picked.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `shape` | A `Tensor`. Must be one of the following types: `int32`, `int64`. The shape of the output tensor. |\n| `dtype` | A [`tf.DType`](../../tf/dtypes/DType) from: `tf.half, tf.bfloat16, tf.float32, tf.float64`. The type of the output. |\n| `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. |\n| `seed2` | An optional `int`. Defaults to `0`. A second seed to avoid seed collision. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `dtype`. ||\n\n\u003cbr /\u003e"]]
