| # |
| # 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("input", "TENSOR_FLOAT32", "{1, 4, 4, 1}") |
| block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2]) |
| paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0]) |
| output = Output("output", "TENSOR_FLOAT32", "{4, 2, 2, 1}") |
| |
| model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output) |
| model = model.RelaxedExecution(True) |
| |
| # Example 1. Input in operand 0, |
| input0 = {i1: # input 0 |
| [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]} |
| |
| output0 = {output: # output 0 |
| [1, 3, 9, 11, 2, 4, 10, 12, 5, 7, 13, 15, 6, 8, 14, 16]} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
