x-jddlmZddlZddlmZddlmZmZmZerddlm Z ddl m Z ddl m Z ddlmZGd d ej ZddZdS)) annotationsN) TYPE_CHECKING) distribution independent transform)Sequence)Tensor) Distribution) TransformcZeZdZUdZded<ded<dfd Zgfdd Zgfdd ZddZxZ S)TransformedDistributiona Applies a sequence of Transforms to a base distribution. Args: base (Distribution): The base distribution. transforms (Sequence[Transform]): A sequence of ``Transform`` . Examples: .. code-block:: python >>> 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.))] ... ) >>> # doctest: +SKIP('random sample') >>> 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) >>> # doctest: -SKIP r baseSequence[Transform] transformsreturnNonect|tjs tdt |dt|t js tdt |dtd|Dstdtj |}|j |j z}||_ ||_ |s.t|j |j dSt!|j |j z|jjkr-t'd|jjdt!|d|jjt!|j kr4t)j||jjt!|j z }||j |j z}|jjt1t!|j |jjz dz}t|dt!||z |t!||z ddS) Nz1Expected type of 'base' is Distribution, but got .zGExpected type of 'transforms' is Sequence[Transform] or Chain, but got c3JK|]}t|tjVdS)N) isinstancerr ).0ts l/var/www/html/banglarbhumi/venv/lib/python3.11/site-packages/paddle/distribution/transformed_distribution.py z3TransformedDistribution.__init__..Ks/JJ!:a!455JJJJJJz1All element of transforms must be Transform type.z.'base' needs to have shape with size at least z , bug got r)rrr TypeErrortypetypingrallrChainTransform batch_shape event_shape_base _transformssuper__init__len_domain event_rank ValueErrorr Independent forward_shape _codomainmax)selfrrchain base_shapetransformed_shapetransformed_event_rank __class__s rr&z TransformedDistribution.__init__@sw$ 9:: QDJJQQQ *fo66 mZ^_iZjZjmmm JJzJJJJJ QOPP P(44%(88  %  GG  T-t/? @ @ @ F t$"22 3 3em6N N NwAYwwehisetetwww  = #c$*:&;&; ; ;*em.T5E1F1FFD"//  t/ /  "'!;c  ! !EM$< rDyr)rr;s rrDz TransformedDistribution.log_probs )** $*++  A ! A !).1GG GJ.**1--zAI

r rr ) __name__ __module__ __qualname____doc____annotations__r&r8r=rD __classcell__)r4s@rr r s>####+ + + + + + Z-/     .0     rr r>r nintrct|dkr1|tt| dn|S)Nr)sumlistrange)r>rLs rrBrBs3,-EE599T%A,,'' ( ( (ur rLrMrr ) __future__rrrpaddle.distributionrrrcollections.abcrpaddler paddle.distribution.distributionr paddle.distribution.transformr r rBrrrYs#""""" DDDDDDDDDD8((((((======777777BBBBBl7BBBJ======r