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 18 model = Model() 19 20 d0 = 1 #2 21 d1 = 16 #256 22 d2 = 16 #256 23 d3 = 1 #2 24 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, .5f, 0" % (d0, d1, d2, d3)) 26 27 output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.00390625f, 0" % (d0, d1, d2, d3)) 28 29 model = model.Operation("LOGISTIC", i0).To(output) 30 31 # Example 1. Input in operand 0, 32 rng = d0 * d1 * d2 * d3 33 input_values = (lambda r = rng: [x % 256 for x in range(r)])() 34 input0 = {i0: input_values} 35 output_values = [ 36 255 if 1. / (1. + math.exp(-x * .5)) * 256 > 255 37 else int(round(1. / (1. + math.exp(-x * .5)) * 256)) 38 for x in input_values] 39 output0 = {output: output_values} 40 41 # Instantiate an example 42 Example((input0, output0)) 43
