| # |
| # 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, 2, 2, 4}") # depth_in = 4 |
| f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0, 10, 100, .25, 1, 20, 100, .25, 0, 30, 100, .25, 1, 40, 100]) # depth_out = 4 |
| b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [600000, 700000, 800000, 900000]) # depth_out = 4 |
| pad0 = Int32Scalar("pad0", 0) |
| act = Int32Scalar("act", 0) |
| stride = Int32Scalar("stride", 1) |
| cm = Int32Scalar("channelMultiplier", 1) |
| output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 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, 100, 0, |
| 10, 22, 200, 0, |
| 10, 23, 300, 0, |
| 10, 24, 400, 0], |
| } |
| # (i1 (conv) f1) + b1 |
| output0 = {output: # output 0 |
| [600010, 700046, 830000, 900000]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
