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  11. rsample

torch.distributions.Distribution.rsample

Distribution.rsample(options?: SampleOptions): TensorDistribution.rsample(sample_shape: readonly number[], options?: SampleOptions): Tensor

Generate reparameterized samples (gradients flow through).

Only available if has_rsample is true. By default, throws an error.

Parameters

optionsSampleOptionsoptional
Additional options (if first arg was shape)

Returns

Tensor– Differentiable tensor of shape [*sample_shape, *batch_shape, *event_shape]
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