| # |
| # Copyright (C) 2018 The Android Open Source Project |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| model = Model() |
| i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}") |
| f1 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}") |
| b1 = Input("op3", "TENSOR_FLOAT32", "{4}") |
| pad0 = Int32Scalar("pad0", 0) |
| act = Int32Scalar("act", 0) |
| stride = Int32Scalar("stride", 1) |
| cm = Int32Scalar("channelMultiplier", 2) |
| output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}") |
| |
| model = model.Operation("DEPTHWISE_CONV_2D", |
| i1, f1, b1, |
| pad0, pad0, pad0, pad0, |
| stride, stride, |
| cm, act).To(output) |
| model = model.RelaxedExecution(True) |
| |
| # Example 1. Input in operand 0, |
| input0 = {i1: # input 0 |
| [10, 21, 10, 22, 10, 23, |
| 10, 24, 10, 25, 10, 26, |
| 10, 27, 10, 28, 10, 29], |
| f1: |
| [.25, 0, .2, 0, |
| .25, 0, 0, .3, |
| .25, 0, 0, 0, |
| .25, .1, 0, 0], |
| b1: |
| [1, 2, 3, 4]} |
| # (i1 (conv) f1) + b1 |
| # filter usage: |
| # in_ch1 * f_1 --> output_d1 |
| # in_ch1 * f_2 --> output_d2 |
| # in_ch2 * f_3 --> output_d3 |
| # in_ch3 * f_4 --> output_d4 |
| output0 = {output: # output 0 |
| [11, 3, 7.2, 10.6, |
| 11, 3, 7.4, 10.9, |
| 11, 3, 7.8, 11.5, |
| 11, 3, 8.0, 11.8]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
