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Clarify broadcasting behavior in vecdot #473

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8 changes: 6 additions & 2 deletions spec/API_specification/array_api/linear_algebra_functions.py
Original file line number Diff line number Diff line change
Expand Up @@ -92,14 +92,18 @@ def vecdot(x1: array, x2: array, /, *, axis: int = -1) -> array:
x1: array
first input array. Should have a real-valued data type.
x2: array
second input array. Must be compatible with ``x1`` (see :ref:`broadcasting`). Should have a real-valued data type.
second input array. Should have a real-valued data type. Corresponding contracted axes of ``x1`` and ``x2`` must be equal.

.. note::
Contracted axes (dimensions) must not be broadcasted.

axis:int
axis over which to compute the dot product. Must be an integer on the interval ``[-N, N)``, where ``N`` is the rank (number of dimensions) of the shape determined according to :ref:`broadcasting`. If specified as a negative integer, the function must determine the axis along which to compute the dot product by counting backward from the last dimension (where ``-1`` refers to the last dimension). By default, the function must compute the dot product over the last axis. Default: ``-1``.

Returns
-------
out: array
if ``x1`` and ``x2`` are both one-dimensional arrays, a zero-dimensional containing the dot product; otherwise, a non-zero-dimensional array containing the dot products and having rank ``N-1``, where ``N`` is the rank (number of dimensions) of the shape determined according to :ref:`broadcasting`. The returned array must have a data type determined by :ref:`type-promotion`.
if ``x1`` and ``x2`` are both one-dimensional arrays, a zero-dimensional containing the dot product; otherwise, a non-zero-dimensional array containing the dot products and having rank ``N-1``, where ``N`` is the rank (number of dimensions) of the shape determined according to :ref:`broadcasting` along the non-contracted axes. The returned array must have a data type determined by :ref:`type-promotion`.


**Raises**
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