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 = Model() 18 i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}") # depth_in = 2 19 f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}", [.25, 0, .25, 1, .25, 0, .25, 1]) # depth_out = 2 20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [100, 200]) # depth_out = 2 21 pad0 = Int32Scalar("pad0", 0) 22 act = Int32Scalar("act", 0) 23 stride = Int32Scalar("stride", 1) 24 cm = Int32Scalar("channelMultiplier", 1) 25 output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 2}") 26 27 model = model.Operation("DEPTHWISE_CONV_2D", 28 i1, f1, b1, 29 pad0, pad0, pad0, pad0, 30 stride, stride, 31 cm, act).To(output) 32 33 # Example 1. Input in operand 0, 34 input0 = { 35 i1: [ # input 0 36 10, 21, 10, 22, 37 10, 23, 10, 24], 38 } 39 # (i1 (conv) f1) + b1 40 output0 = {output: # output 0 41 [110, 246]} 42 43 # Instantiate an example 44 Example((input0, output0)) 45
