2 # Copyright (C) 2017 The Android Open Source Project
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
8 # http://www.apache.org/licenses/LICENSE-2.0
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.
25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3))
27 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3))
29 model = model.Operation("LOGISTIC", i0).To(output)
31 # Example 1. Input in operand 0,
32 rng = d0 * d1 * d2 * d3
33 input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
34 input0 = {i0: input_values}
35 output_values = [1. / (1. + math.exp(-x)) for x in input_values]
36 output0 = {output: output_values}
38 # Instantiate an example
39 Example((input0, output0))