# mindspore.common.initializer¶

Initializer for cell parameters.

class mindspore.common.initializer.Initializer(**kwargs)[source]

The base class of the initializer.

Parameters

kwargs (dict) – Keyword arguments for Initializer.

Returns

Array, assigned array.

mindspore.common.initializer.initializer(init, shape=None, dtype=mindspore.float32)[source]

Create and initialize a tensor.

Parameters
Returns

Tensor, initialized tensor.

Examples

>>> tensor = initializer('ones', [1, 2, 3], mstype.float32)

class mindspore.common.initializer.TruncatedNormal(sigma=0.01)[source]

Initialize a truncated normal distribution which is a bounded normal distribution within N(low, high).

Parameters

sigma (float) – The sigma of the array. Default: 0.01.

Returns

Array, truncated normal array.

class mindspore.common.initializer.Normal(sigma=0.01)[source]

Initialize a normal array, and obtain values N(0, sigma) from the uniform distribution to fill the input tensor.

Parameters

sigma (float) – The sigma of the array. Default: 0.01.

Returns

Array, normal array.

class mindspore.common.initializer.Uniform(scale=0.07)[source]

Initialize a uniform array, and obtain values U(-scale, scale) from the uniform distribution to fill the input tensor.

Parameters

scale (float) – The scale of the array. Default: 0.07.

Returns

Array, uniform array.

class mindspore.common.initializer.HeUniform(**kwargs)[source]

Initialize the array with He kaiming uniform algorithm, and from a uniform distribution collect samples within U[-boundary, boundary] where $$boundary = \sqrt{\frac{6}{n_{in}}}$$ where $$n_{in}$$ is the number of input units in the weight tensor.

Parameters

arr (Array) – The array to be assigned.

Returns

Array, assigned array.

class mindspore.common.initializer.XavierUniform(gain=1)[source]

Initialize the array with xavier uniform algorithm, and from a uniform distribution collect samples within U[-boundary, boundary] where $$boundary = gain * \sqrt{\frac{6}{n_{in} + n_{out}}}$$.

Parameters

gain (Array) – The array to be assigned. Default: 1.

Returns

Array, assigned array.

class mindspore.common.initializer.One(**kwargs)[source]

Initialize the array to one.

Parameters

arr (Array) – The array to be assigned.

Returns

Array, assigned array.

class mindspore.common.initializer.Zero(**kwargs)[source]

Initialize the array to zero.

Parameters

arr (Array) – The array to be assigned.

Returns

Array, assigned array.