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, 2, 2, 1}") 20b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangi2 = Output("op2", "TENSOR_FLOAT32", "{1, 3, 3, 1}") 2103fde839dc0bfa4f2ead0d60fc4fe80f55e52660Michael Butlerh = Int32Scalar("height", 3) # an int32_t scalar bias 2203fde839dc0bfa4f2ead0d60fc4fe80f55e52660Michael Butlerw = Int32Scalar("width", 3) 2303fde839dc0bfa4f2ead0d60fc4fe80f55e52660Michael Butlermodel = model.Operation("RESIZE_BILINEAR", i1, h, w).To(i2) 24b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangmodel = model.RelaxedExecution(True) 25b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 26b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Example 1. Input in operand 0, 27b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wanginput0 = {i1: # input 0 28b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang [1.0, 1.0, 2.0, 2.0]} 29b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangoutput0 = {i2: # output 0 30b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang [1.0, 1.0, 1.0, 31b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 1.666666667, 1.666666667, 1.666666667, 32b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 2.0, 2.0, 2.0]} 33b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 34b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Instantiate an example 35b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao WangExample((input0, output0)) 36