| # |
| # 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 = Model() |
| i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2}") |
| i2 = Input("op2", "TENSOR_FLOAT32", "{2, 2}") |
| act = Int32Scalar("act", 0) |
| i3 = Output("op3", "TENSOR_FLOAT32", "{2, 2}") |
| model = model.Operation("DIV", i1, i2, act).To(i3) |
| model = model.RelaxedExecution(True) |
| |
| # Example 1. Input in operand 0, |
| input0 = {i1: # input 0 |
| [1, 2], |
| i2: # input 1 |
| [1, 1, 2, 2]} |
| |
| output0 = {i3: # output 0 |
| [1, 2, 0.5, 1]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
