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
18model = Model()
19
20d0 = 2
21d1 = 30
22d2 = 24
23d3 = 2
24
25i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3))
26
27output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3))
28
29model = model.Operation("RELU1", i0).To(output)
30
31# Example 1. Input in operand 0,
32rng = d0 * d1 * d2 * d3
33input_values = (lambda r = rng: [x * (x % 2 - .5) * .002 for x in range(r)])()
34input0 = {i0: input_values}
35output_values = [-1 if x < -1 else 1 if x > 1 else x for x in input_values]
36output0 = {output: output_values}
37
38# Instantiate an example
39Example((input0, output0))
40