Source code for xorbits._mars.tensor.linalg.inner
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from ..datasource import tensor as astensor
from .tensordot import tensordot
[docs]def inner(a, b, sparse=None):
"""
Returns the inner product of a and b for arrays of floating point types.
Like the generic NumPy equivalent the product sum is over the last dimension
of a and b. The first argument is not conjugated.
"""
a, b = astensor(a), astensor(b)
if a.isscalar() and b.isscalar():
ret = a * b
else:
ret = tensordot(a, b, axes=(-1, -1), sparse=sparse)
return ret
innerproduct = inner