1b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 2b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Copyright (C) 2018 The Android Open Source Project 3b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 4b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Licensed under the Apache License, Version 2.0 (the "License"); 5b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# you may not use this file except in compliance with the License. 6b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# You may obtain a copy of the License at 7b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 8b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# http://www.apache.org/licenses/LICENSE-2.0 9b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 10b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Unless required by applicable law or agreed to in writing, software 11b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# distributed under the License is distributed on an "AS IS" BASIS, 12b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# See the License for the specific language governing permissions and 14b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# limitations under the License. 15b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 16b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 17b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# model 18b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangmodel = Model() 19b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangi1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 3, 3}") # a line of 3 pixels, 3 components/pixel 20b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangi2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) # another vector of 2 float32s 21b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangi3 = Output("op3", "TENSOR_FLOAT32", "{9}") 22b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangmodel = model.Operation("RESHAPE", i1, i2).To(i3) 23b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangmodel = model.RelaxedExecution(True) 24b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 25b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Example 1. Input in operand 0, 26b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wanginput0 = {i1: # input 0 27b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang [1, 2, 3, 28b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 4, 5, 6, 29b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 7, 8, 9]} 30b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 31b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangoutput0 = {i3: # output 0 32b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang [1, 2, 3, 4, 5, 6, 7, 8, 9]} 33b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 34b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Instantiate an example 35b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao WangExample((input0, output0)) 36