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