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tfg.math.vector.dot

Computes the dot product between two tensors along an axis.

tfg.math.vector.dot(
    vector1,
    vector2,
    axis=-1,
    keepdims=True,
    name=None
)

Defined in math/vector.py.

Note:

In the following, A1 to An are optional batch dimensions, which should be broadcast compatible.

Args:

  • vector1: Tensor of rank R and shape [A1, ..., Ai, ..., An], where the dimension i = axis represents a vector.
  • vector2: Tensor of rank R and shape [A1, ..., Ai, ..., An], where the dimension i = axis represents a vector.
  • axis: The dimension along which to compute the dot product.
  • keepdims: If True, retains reduced dimensions with length 1.
  • name: A name for this op which defaults to "vector_dot".

Returns:

A tensor of shape [A1, ..., Ai = 1, ..., An], where the dimension i = axis represents the result of the dot product.