1ad1af843de16e98b215782f881985d08f0b03b98Michael Butler#
2ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Copyright (C) 2018 The Android Open Source Project
3ad1af843de16e98b215782f881985d08f0b03b98Michael Butler#
4ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Licensed under the Apache License, Version 2.0 (the "License");
5ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# you may not use this file except in compliance with the License.
6ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# You may obtain a copy of the License at
7ad1af843de16e98b215782f881985d08f0b03b98Michael Butler#
8ad1af843de16e98b215782f881985d08f0b03b98Michael Butler#      http://www.apache.org/licenses/LICENSE-2.0
9ad1af843de16e98b215782f881985d08f0b03b98Michael Butler#
10ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Unless required by applicable law or agreed to in writing, software
11ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# distributed under the License is distributed on an "AS IS" BASIS,
12ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# See the License for the specific language governing permissions and
14ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# limitations under the License.
15ad1af843de16e98b215782f881985d08f0b03b98Michael Butler#
16ad1af843de16e98b215782f881985d08f0b03b98Michael Butler
17ad1af843de16e98b215782f881985d08f0b03b98Michael Butlermodel = Model()
18ad1af843de16e98b215782f881985d08f0b03b98Michael Butleri1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
19ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerperms = Parameter("perms", "TENSOR_INT32", "{4}", [0, 2, 1, 3])
20ad1af843de16e98b215782f881985d08f0b03b98Michael Butleroutput = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
21ad1af843de16e98b215782f881985d08f0b03b98Michael Butler
22ad1af843de16e98b215782f881985d08f0b03b98Michael Butlermodel = model.Operation("TRANSPOSE", i1, perms).To(output)
23ad1af843de16e98b215782f881985d08f0b03b98Michael Butlermodel = model.RelaxedExecution(True)
24ad1af843de16e98b215782f881985d08f0b03b98Michael Butler
25ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Example 1. Input in operand 0,
26ad1af843de16e98b215782f881985d08f0b03b98Michael Butlerinput0 = {i1: # input 0
27ad1af843de16e98b215782f881985d08f0b03b98Michael Butler          [1.0, 2.0,
28ad1af843de16e98b215782f881985d08f0b03b98Michael Butler           3.0, 4.0]}
29ad1af843de16e98b215782f881985d08f0b03b98Michael Butler
30ad1af843de16e98b215782f881985d08f0b03b98Michael Butleroutput0 = {output: # output 0
31ad1af843de16e98b215782f881985d08f0b03b98Michael Butler          [1.0, 3.0,
32ad1af843de16e98b215782f881985d08f0b03b98Michael Butler           2.0, 4.0]}
33ad1af843de16e98b215782f881985d08f0b03b98Michael Butler
34ad1af843de16e98b215782f881985d08f0b03b98Michael Butler# Instantiate an example
35ad1af843de16e98b215782f881985d08f0b03b98Michael ButlerExample((input0, output0))
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