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 17model = Model() 18i1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 1, 3}") 19f1 = Input("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}") 20b1 = Input("op3", "TENSOR_FLOAT32", "{3}") 21pad0 = Int32Scalar("pad0", 0) 22act = Int32Scalar("act", 0) 23stride = Int32Scalar("stride", 1) 24# output dimension: 25# (i1.height - f1.height + 1) x (i1.width - f1.width + 1) 26output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 3}") 27 28model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 29 30# Example 1. Input in operand 0, 31input0 = {i1: # input 0 32 [99.0, 99.0, 99.0], 33 f1: 34 [1.0, 1.0, 1.0, 35 2.0, 2.0, 2.0, 36 3.0, 3.0, 3.0], 37 b1: 38 [0., 0., 0.]} 39 40output0 = {output: # output 0 41 [297., 594., 891.]} 42 43# Instantiate an example 44Example((input0, output0)) 45