1 # 2 # Copyright (C) 2018 The Android Open Source Project 3 # 4 # Licensed under the Apache License, Version 2.0 (the "License"); 5 # you may not use this file except in compliance with the License. 6 # You may obtain a copy of the License at 7 # 8 # http://www.apache.org/licenses/LICENSE-2.0 9 # 10 # Unless required by applicable law or agreed to in writing, software 11 # distributed under the License is distributed on an "AS IS" BASIS, 12 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 # See the License for the specific language governing permissions and 14 # limitations under the License. 15 # 16 17 model = Model() 18 i1 = Input("input", "TENSOR_FLOAT32", "{1, 4, 2, 1}") 19 block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2]) 20 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 1, 2, 4]) 21 output = Output("output", "TENSOR_FLOAT32", "{6, 2, 4, 1}") 22 23 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output) 24 model = model.RelaxedExecution(True) 25 26 # Example 1. Input in operand 0, 27 input0 = {i1: # input 0 28 [1, 2, 3, 4, 5, 6, 7, 8]} 29 30 output0 = {output: # output 0 31 [0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 32 0, 1, 0, 0, 0, 7, 0, 0, 0, 2, 0, 0, 0, 8, 0, 0, 33 0, 3, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0]} 34 35 # Instantiate an example 36 Example((input0, output0)) 37
