torch.linalg.vecdot
torch.linalg.vecdot(x, y, *, dim=- 1, out=None) -> Tensor
Computes the dot product of two batches of vectors along a
   dimension.
In symbols, this function computes
  \sum_{i=1}^n \overline{x_i}y_i.

over the dimension "dim" where \overline{x_i} denotes the conjugate
   for complex vectors, and it is the identity for real vectors.
Supports input of half, bfloat16, float, double, cfloat, cdouble
   and integral dtypes. It also supports broadcasting.
Parameters:
      * x (Tensor) -- first batch of vectors of shape (, n)*.
  * **y** (*Tensor*) -- second batch of vectors of shape *(*, n)*.

Keyword Arguments:
      * dim (int) -- Dimension along which to compute the dot
        product. Default: -1.
  * **out** (*Tensor**, **optional*) -- output tensor. Ignored if
    *None*. Default: *None*.

Examples:
  >>> v1 = torch.randn(3, 2)
  >>> v2 = torch.randn(3, 2)
  >>> linalg.vecdot(v1, v2)
