Outputs deterministic pseudorandom values from a normal distribution.
tf.raw_ops.StatelessRandomNormalV2( shape, key, counter, alg, dtype=tf.dtypes.float32, name=None ) The generated values will have mean 0 and standard deviation 1.
The outputs are a deterministic function of shape, key, counter and alg.
Args | |
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shape | A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor. |
key | A Tensor of type uint64. Key for the counter-based RNG algorithm (shape uint64[1]). |
counter | A Tensor of type uint64. Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used. |
alg | A Tensor of type int32. The RNG algorithm (shape int32[]). |
dtype | An optional tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64. Defaults to tf.float32. The type of the output. |
name | A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type dtype. |