1#
2# Copyright (C) 2018 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", "{2, 2}")
19weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 2}", [2, 4])
20bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [1])
21out0 = Output("op3", "TENSOR_FLOAT32", "{2, 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, 2, 2, 1]}
28output0 = {out0: # output 0
29               [11, 9]}
30
31# Instantiate an example
32Example((input0, output0))
33