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Given a list of values (possibly containing numbers), returns a list where each value is broadcasted based on the following rules:

Source: R/distributions-utils.R
broadcast_all.Rd

Raises value_error: if any of the values is not a numeric instance, a torch.*Tensor instance, or an instance implementing torch_function TODO: add has_torch_function((v,)) See: https://github.com/pytorch/pytorch/blob/master/torch/distributions/utils.py

Usage

broadcast_all(values)

Arguments

values

List of:

  • torch.*Tensor instances are broadcasted as per _broadcasting-semantics.

  • numeric instances (scalars) are upcast to tensors having the same size and type as the first tensor passed to values. If all the values are scalars, then they are upcasted to scalar Tensors. values (list of numeric, torch.*Tensor or objects implementing torch_function)