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 17 model = Model() 18 in0 = Input("op1", "TENSOR_FLOAT32", "{1, 5}") # batch = 1, input_size = 5 19 weights = Input("op2", "TENSOR_FLOAT32", "{1, 5}") # num_units = 1, input_size = 5 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") 21 out0 = Output("op3", "TENSOR_FLOAT32", "{1, 1}") # batch = 1, number_units = 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, 10, 100, 1000, 10000], 28 weights: 29 [2, 3, 4, 5, 6], 30 bias: 31 [900000]} 32 output0 = {out0: # output 0 33 [965432]} 34 35 # Instantiate an example 36 Example((input0, output0)) 37
