sample

abstractmethod Distribution.sample(*, sample_shape: Tuple[int, ...] = None, return_logp: bool = False, **kwargs) → NDArray[Any] | jnp.ndarray | tf.Tensor | torch.Tensor | Tuple[NDArray[Any] | jnp.ndarray | tf.Tensor | torch.Tensor, NDArray[Any] | jnp.ndarray | tf.Tensor | torch.Tensor]

Draw a sample from the distribution.

Parameters:

• sample_shape (Tuple[int, ...]) – The shape of the sample to draw.

• return_logp (bool) – Whether to return the logp of the sampled values.

• **kwargs – Forward compatibility placeholder.

Returns:

The sampled values. If return_logp is True, returns a tuple of the sampled values and its logp.

Return type:

NDArray[Any] | jnp.ndarray | tf.Tensor | torch.Tensor | Tuple[NDArray[Any] | jnp.ndarray | tf.Tensor | torch.Tensor, NDArray[Any] | jnp.ndarray | tf.Tensor | torch.Tensor]