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 18 model = Model() 19 20 bat = 5 21 row = 50 22 col = 70 23 chn = 3 24 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 26 27 std = 20 28 flt = 20 29 pad = 0 30 31 stride = Int32Scalar("stride", std) 32 filt = Int32Scalar("filter", flt) 33 padding = Int32Scalar("padding", pad) 34 act0 = Int32Scalar("activation", 0) 35 output_row = (row + 2 * pad - flt + std) // std 36 output_col = (col + 2 * pad - flt + std) // std 37 38 output = Output("output", "TENSOR_QUANT8_ASYMM", 39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn)) 40 41 model = model.Operation( 42 "MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act0).To(output) 43 44 # Example 1. Input in operand 0 45 input_range = bat * row * col * chn 46 input_values = (lambda s = std, r = input_range: [x % s + 1 for x in range(r)])() 47 input0 = {i0: input_values} 48 output_range = bat * output_row * output_col * chn 49 output_values = (lambda s = std, r = output_range: [ s for _ in range(r)])() 50 output0 = {output: output_values} 51 52 # Instantiate an example 53 Example((input0, output0)) 54
