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 17 model = Model() 18 in0 = Input("op1", "TENSOR_FLOAT32", "{2, 2}") 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 2}", [2, 4]) 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [1]) 21 out0 = Output("op3", "TENSOR_FLOAT32", "{2, 1}") 22 act = Int32Scalar("act", 0) 23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) 24 25 # Example 1. Input in operand 0, 26 input0 = {in0: # input 0 27 [1, 2, 2, 1]} 28 output0 = {out0: # output 0 29 [11, 9]} 30 31 # Instantiate an example 32 Example((input0, output0)) 33
