mindspore.ops.standard_normal

mindspore.ops.standard_normal(shape, seed=0, seed2=0)

Generates random numbers according to the standard Normal (or Gaussian) random number distribution.

Returns the tensor with the given shape, the random numbers in it drawn from normal distributions whose mean is 0 and standard deviation is 1.

\[f(x)=\frac{1}{\sqrt{2 \pi}} e^{\left(-\frac{x^{2}}{2}\right)}\]

Parameters

• shape (tuple) – The shape of random tensor to be generated. Only constant value is allowed.

• seed (int) – Random seed, must be non-negative. Default: 0.

• seed2 (int) – Random seed2, must be non-negative. A second seed to avoid seed collision. Default: 0.

Returns

Tensor. The shape is the same as the input shape. The dtype is float32.

Raises

• TypeError – If seed or seed2 is not an int.

• TypeError – If shape is not a tuple.

• ValueError – If shape is not a constant value.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import ops
>>> shape = (4, 4)
>>> output = ops.standard_normal(shape)
>>> result = output.shape
>>> print(result)
(4, 4)