特朗普挑起贸易争端　损人不利己已经不是第一次了

class paddle.distribution. TransformedDistribution ( base: Distribution, transforms: Sequence[Transform] ) [source]
百度 四川师范大学张晓君副教授论述了对亚里斯多德的传统三段论建立形式化和公理化推理系统的具体方式，指出这一研究的理论意义和实践价值。

Applies a sequence of Transforms to a base distribution.

Parameters

  • base (Distribution) – The base distribution.

  • transforms (Sequence[Transform]) – A sequence of Transform .

Examples

>>> import paddle
>>> paddle.seed(2023)
>>> from paddle.distribution import transformed_distribution

>>> d = transformed_distribution.TransformedDistribution(
...     paddle.distribution.Normal(0., 1.),
...     [paddle.distribution.AffineTransform(paddle.to_tensor(1.), paddle.to_tensor(2.))]
... )

>>> 
>>> print(d.sample([10]))
Tensor(shape=[10], dtype=float32, place=Place(cpu), stop_gradient=True,
    [ 3.22699189,  1.12264419,  0.50283587,  1.83812487, -2.00740123,
    -2.70338631,  1.26663208,  4.47909021, -0.11529565,  4.32719326])
>>> print(d.log_prob(paddle.to_tensor(0.5)))
Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
    -1.64333570)
>>>
sample ( shape: Sequence[int] = [] ) → Tensor

sample?

Sample from TransformedDistribution.

Parameters

shape (Sequence[int], optional) – The sample shape. Defaults to [].

Returns

The sample result.

Return type

[Tensor]

rsample ( shape: Sequence[int] = [] ) → Tensor

rsample?

Reparameterized sample from TransformedDistribution.

Parameters

shape (Sequence[int], optional) – The sample shape. Defaults to [].

Returns

The sample result.

Return type

[Tensor]

log_prob ( value: Tensor ) → Tensor

log_prob?

The log probability evaluated at value.

Parameters

value (Tensor) – The value to be evaluated.

Returns

The log probability.

Return type

Tensor

property batch_shape : Sequence[int]

Returns batch shape of distribution

Returns

batch shape

Return type

Sequence[int]

entropy ( ) → Tensor

entropy?

The entropy of the distribution.

property event_shape : Sequence[int]

Returns event shape of distribution

Returns

event shape

Return type

Sequence[int]

kl_divergence ( other: Distribution ) → Tensor [source]

kl_divergence?

The KL-divergence between self distributions and other.

property mean : Tensor

Mean of distribution

prob ( value: Tensor ) → Tensor

prob?

Probability density/mass function evaluated at value.

Parameters

value (Tensor) – value which will be evaluated

probs ( value: Tensor ) → Tensor

probs?

Probability density/mass function.

Note

This method will be deprecated in the future, please use prob instead.

property variance : Tensor

Variance of distribution