| # |
| # Copyright (C) 2017 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_FLOAT16", "{2, 3}") # input tensor 0 |
| i2 = Input("op2", "TENSOR_FLOAT16", "{2, 3}") # input tensor 1 |
| axis0 = Int32Scalar("axis0", 0) |
| r = Output("result", "TENSOR_FLOAT16", "{4, 3}") # output |
| model = model.Operation("CONCATENATION", i1, i2, axis0).To(r) |
| |
| # Example 1. |
| input0 = {i1: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], |
| i2: [7.0, 8.0, 9.0, 10.0, 11.0, 12.0]} |
| output0 = {r: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
