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