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 18 model = Model() 19 20 d0 = 2 21 d1 = 32 22 d2 = 40 23 d3 = 2 24 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) 26 27 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) 28 29 model = model.Operation("LOGISTIC", i0).To(output) 30 model = model.RelaxedExecution(True) 31 32 # Example 1. Input in operand 0, 33 rng = d0 * d1 * d2 * d3 34 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])() 35 input0 = {i0: input_values} 36 output_values = [1. / (1. + math.exp(-x)) for x in input_values] 37 output0 = {output: output_values} 38 39 # Instantiate an example 40 Example((input0, output0)) 41
