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 17# model 18model = Model() 19 20bat = 5 21row = 52 22col = 60 23chn = 3 24 25i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 26 27std = 5 28flt = 100 29pad = 50 30 31stride = Int32Scalar("stride", std) 32filt = Int32Scalar("filter", flt) 33padding = Int32Scalar("padding", pad) 34act3 = Int32Scalar("relu6_activation", 3) 35output_row = (row + 2 * pad - flt + std) // std 36output_col = (col + 2 * pad - flt + std) // std 37 38output = Output("output", "TENSOR_FLOAT32", 39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn)) 40 41model = model.Operation( 42 "AVERAGE_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act3).To(output) 43 44# Example 1. Input in operand 0, 45input_values = [10 for _ in range(bat * row * col * chn)] 46input0 = {i0: input_values} 47output_values = [6 for _ in range(bat * output_row * output_col * chn)] 48output0 = {output: output_values} 49 50# Instantiate an example 51Example((input0, output0)) 52