| # |
| # 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() |
| |
| row1 = 52 |
| row2 = 40 |
| col = 300 |
| output_row = row1 + row2 |
| |
| input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row1, col)) |
| input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row2, col)) |
| axis0 = Int32Scalar("axis0", 0) |
| output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (output_row, col)) |
| model = model.Operation("CONCATENATION", input1, input2, axis0).To(output) |
| |
| # Example 1. |
| input1_values = [x % 256 for x in range(row1 * col)] |
| input2_values = (lambda s1 = row1 * col, s2 = row2 * col: |
| [(x + s1) % 256 for x in range(s2)])() |
| input0 = {input1: input1_values, |
| input2: input2_values} |
| output_values = [x % 256 for x in range(output_row * col)] |
| output0 = {output: output_values} |
| |
| # Instantiate an example |
| Example((input0, output0)) |
