1 # 2 # Copyright (C) 2017 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 18 model = Model() 19 20 row1 = 52 21 row2 = 40 22 col = 300 23 output_row = row1 + row2 24 25 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row1, col)) 26 input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row2, col)) 27 axis0 = Int32Scalar("axis0", 0) 28 output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (output_row, col)) 29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output) 30 31 # Example 1. 32 input1_values = [x % 256 for x in range(row1 * col)] 33 input2_values = (lambda s1 = row1 * col, s2 = row2 * col: 34 [(x + s1) % 256 for x in range(s2)])() 35 input0 = {input1: input1_values, 36 input2: input2_values} 37 output_values = [x % 256 for x in range(output_row * col)] 38 output0 = {output: output_values} 39 40 # Instantiate an example 41 Example((input0, output0)) 42
