#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 1999-2020 Alibaba Group Holding Ltd. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. 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