# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. # pylint: disable=invalid-name """Dense in python""" import numpy as np def dense(x, y, bias, use_bias=False, use_relu=False, out_dtype=None): """dense operator implemented in numpy. Parameters ---------- x : numpy.ndarray 2-D with shape [M, K] y : numpy.ndarray 2-D with shape [N, K] bias: numpy.ndarray 1-D with shape [M,] out_dtype: string, optional Specify the dtype of output Returns ------- out : numpy.ndarray 2-D with shape [M, N] """ dtype = x.dtype if out_dtype is None else out_dtype if use_bias: out = np.dot(x.astype(dtype), y.T.astype(dtype)) + bias else: out = np.dot(x.astype(dtype), y.T.astype(dtype)) if use_relu: out = np.maximum(out, 0) return out