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dot#

ivy.dot(a, b, /, *, out=None)[source]#

Compute the dot product between two arrays a and b using the current backend’s implementation. The dot product is defined as the sum of the element-wise product of the input arrays.

Parameters:

  • a (Union[Array, NativeArray]) – First input array.

  • b (Union[Array, NativeArray]) – Second input array.

  • out (Optional[Array], default: None) – Optional output array. If provided, the output array to store the result.

Return type:

Array

Returns:

ret – The dot product of the input arrays.

Examples

With ivy.Array inputs:

>>> a = ivy.array([1, 2, 3])
>>> b = ivy.array([4, 5, 6])
>>> result = ivy.dot(a, b)
>>> print(result)
ivy.array(32)

>>> a = ivy.array([[1, 2], [3, 4]])
>>> b = ivy.array([[5, 6], [7, 8]])
>>> c = ivy.empty_like(a)
>>> ivy.dot(a, b, out=c)
>>> print(c)
ivy.array([[19, 22],
       [43, 50]])

>>> a = ivy.array([[1.1, 2.3, -3.6]])
>>> b = ivy.array([[-4.8], [5.2], [6.1]])
>>> c = ivy.zeros((1, 1))
>>> ivy.dot(a, b, out=c)
>>> print(c)
ivy.array([[-15.28]])
Array.dot(self, b, /, *, out=None)[source]#

Compute the dot product between two arrays a and b using the current backend’s implementation. The dot product is defined as the sum of the element- wise product of the input arrays.

Parameters:

  • self (Union[Array, NativeArray]) – First input array.

  • b (Union[Array, NativeArray]) – Second input array.

  • out (Optional[Array], default: None) – Optional output array. If provided, the output array to store the result.

Returns:

ret – The dot product of the input arrays.

Examples

With ivy.Array inputs:

>>> a = ivy.array([1, 2, 3])
>>> b = ivy.array([4, 5, 6])
>>> result = ivy.dot(a, b)
>>> print(result)
ivy.array(32)

>>> a = ivy.array([[1, 2], [3, 4]])
>>> b = ivy.array([[5, 6], [7, 8]])
>>> c = ivy.empty_like(a)
>>> ivy.dot(a, b, out=c)
>>> print(c)
ivy.array([[19, 22],
    [43, 50]])

>>> a = ivy.array([[1.1, 2.3, -3.6]])
>>> b = ivy.array([[-4.8], [5.2], [6.1]])
>>> c = ivy.zeros((1, 1))
>>> ivy.dot(a, b, out=c)
>>> print(c)
ivy.array([[-15.28]])
Container.dot(self, b, /, *, out=None, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False)[source]#

Compute the dot product between two arrays a and b using the current backend’s implementation. The dot product is defined as the sum of the element- wise product of the input arrays.

Parameters:

  • self (Union[Array, NativeArray, Container]) – First input array.

  • b (Union[Array, NativeArray, Container]) – Second input array.

  • out (Optional[Union[Array, Container]], default: None) – Optional output array. If provided, the output array to store the result.

Return type:

Union[Array, Container]

Returns:

ret – The dot product of the input arrays.

Examples

With ivy.Array inputs:

>>> a = ivy.array([1, 2, 3])
>>> b = ivy.array([4, 5, 6])
>>> result = ivy.dot(a, b)
>>> print(result)
ivy.array(32)

>>> a = ivy.array([[1, 2], [3, 4]])
>>> b = ivy.array([[5, 6], [7, 8]])
>>> c = ivy.empty_like(a)
>>> ivy.dot(a, b, out=c)
>>> print(c)
ivy.array([[19, 22],
    [43, 50]])

>>> a = ivy.array([[1.1, 2.3, -3.6]])
>>> b = ivy.array([[-4.8], [5.2], [6.1]])
>>> c = ivy.zeros((1, 1))
>>> ivy.dot(a, b, out=c)
>>> print(c)
ivy.array([[-15.28]])
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