| # |
| # 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, 2, 2}") |
| f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [1, 2, 3, 4, -9, 10, -11, 12, 5, 6, 7, 8, 13, -14, 15, -16]) |
| b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) |
| pad_valid = Int32Scalar("pad_valid", 2) |
| act_none = Int32Scalar("act_none", 0) |
| stride = Int32Scalar("stride", 1) |
| cm = Int32Scalar("channelMultiplier", 2) |
| output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 1, 4}") |
| |
| model = model.Operation("DEPTHWISE_CONV_2D", |
| i1, f1, b1, |
| pad_valid, |
| stride, stride, |
| cm, act_none).To(output) |
| model = model.RelaxedExecution(True) |
| |
| # Example 1. Input in operand 0, |
| input0 = {i1: # input 0 |
| [1, 2, 7, 8, |
| 3, 4, 9, 10, |
| 5, 6, 11, 12]} |
| # (i1 (depthconv) f1) |
| output0 = {output: # output 0 |
| [71, -34, 99, -20, |
| 91, -26, 127, -4]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
