1# 2# Copyright (C) 2017 The Android Open Source Project 3# 4# Licensed under the Apache License, Version 2.0 (the "License"); 5# you may not use this file except in compliance with the License. 6# You may obtain a copy of the License at 7# 8# http://www.apache.org/licenses/LICENSE-2.0 9# 10# Unless required by applicable law or agreed to in writing, software 11# distributed under the License is distributed on an "AS IS" BASIS, 12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13# See the License for the specific language governing permissions and 14# limitations under the License. 15# 16 17model = Model() 18in0 = Input("op1", "TENSOR_FLOAT32", "{1, 5}") # batch = 1, input_size = 5 19weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 5}", [2, 3, 4, 5, 6]) # num_units = 1, input_size = 5 20bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900000]) 21out0 = Output("op3", "TENSOR_FLOAT32", "{1, 1}") # batch = 1, number_units = 1 22act = Int32Scalar("act", 0) 23model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 24 25# Example 1. Input in operand 0, 26input0 = {in0: # input 0 27 [1, 10, 100, 1000, 10000]} 28output0 = {out0: # output 0 29 [965432]} 30 31# Instantiate an example 32Example((input0, output0)) 33