1ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# 2ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Copyright (C) 2018 The Android Open Source Project 3ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# 4ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Licensed under the Apache License, Version 2.0 (the "License"); 5ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# you may not use this file except in compliance with the License. 6ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# You may obtain a copy of the License at 7ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# 8ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# http://www.apache.org/licenses/LICENSE-2.0 9ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# 10ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Unless required by applicable law or agreed to in writing, software 11ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# distributed under the License is distributed on an "AS IS" BASIS, 12ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# See the License for the specific language governing permissions and 14ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# limitations under the License. 15ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# 16ad1af843de16e98b215782f881985d08f0b03b98Michael Butler 17ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# model 18ad1af843de16e98b215782f881985d08f0b03b98Michael Butlermodel = Model() 19ad1af843de16e98b215782f881985d08f0b03b98Michael Butler 20ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerd0 = 2 21ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerd1 = 64 22ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerd2 = 40 23ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerd3 = 2 24ad1af843de16e98b215782f881985d08f0b03b98Michael Butler 25ad1af843de16e98b215782f881985d08f0b03b98Michael Butleri0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) 26ad1af843de16e98b215782f881985d08f0b03b98Michael Butler 27ad1af843de16e98b215782f881985d08f0b03b98Michael Butleroutput = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) 28ad1af843de16e98b215782f881985d08f0b03b98Michael Butler 29ad1af843de16e98b215782f881985d08f0b03b98Michael Butlermodel = model.Operation("RELU", i0).To(output) 30ad1af843de16e98b215782f881985d08f0b03b98Michael Butlermodel = model.RelaxedExecution(True) 31ad1af843de16e98b215782f881985d08f0b03b98Michael Butler 32ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Example 1. Input in operand 0, 33ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerrng = d0 * d1 * d2 * d3 34ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerinput_values = (lambda r = rng: [x * (x % 2 - .5) * 2 for x in range(r)])() 35ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerinput0 = {i0: input_values} 36ad1af843de16e98b215782f881985d08f0b03b98Michael Butleroutput_values = (lambda r = rng: [x * (x % 2) for x in range(r)])() 37ad1af843de16e98b215782f881985d08f0b03b98Michael Butleroutput0 = {output: output_values} 38ad1af843de16e98b215782f881985d08f0b03b98Michael Butler 39ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Instantiate an example 40ad1af843de16e98b215782f881985d08f0b03b98Michael ButlerExample((input0, output0)) 41