1# 2# Copyright (C) 2018 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 17model = Model() 18i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 4, 1}") 19f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 3, 3, 1}", [1, 4, 7, 2, 5, 8, 3, 6, 9]) 20b1 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-200]) 21pad_same = Int32Scalar("pad_same", 1) 22act_relu = Int32Scalar("act_relu", 1) 23stride = Int32Scalar("stride", 1) 24output = Output("op4", "TENSOR_FLOAT32", "{1, 3, 4, 1}") 25 26model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output) 27 28# Example 1. Input in operand 0, 29input0 = {i1: # input 0 30 [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]} 31 32output0 = {output: # output 0 33 [0, 0, 0, 0, 35, 112, 157, 0, 0, 34, 61, 0]} 34 35# Instantiate an example 36Example((input0, output0)) 37