Function vector_norm
pub fn vector_norm<B, const D: usize>(
x: Tensor<B, D>,
norm: impl Into<Norm>,
dim: usize,
) -> Tensor<B, D>where
B: Backend,
Expand description
Computes the vector norm of a tensor along a specified dimension.
Generic dispatch wrapper over specialized / optimized norms.
See:
- https://pytorch.org/docs/stable/generated/torch.linalg.vector_norm.html
- https://numpy.org/doc/stable/reference/generated/numpy.linalg.vector_norm.html
§Arguments
x
- The input tensor.norm
- The selected norm.dim
- The dimension to compute the norm over.
§Returns
The vector norm of the input tensor.