| # |
| # 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. |
| # |
| |
| # TEST 1: PRELU |
| i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 3}") |
| a1 = Parameter("alpha", "TENSOR_FLOAT32", "{1, 1, 3}", [0, 1, 2]) |
| o1 = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 3}") |
| Model().Operation("PRELU", i1, a1).To(o1) |
| |
| # Additional data type |
| quant8 = DataTypeConverter().Identify({ |
| i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128), |
| a1: ("TENSOR_QUANT8_ASYMM", 0.25, 50), |
| o1: ("TENSOR_QUANT8_ASYMM", 0.5, 120) |
| }) |
| |
| # Instantiate an example |
| Example({ |
| i1: [ 0, 0, 0, |
| 1, 1, 1, |
| -1, -1, -1, |
| -2, -2, -2], |
| o1: [ 0, 0, 0, |
| 1, 1, 1, |
| 0, -1, -2, |
| 0, -2, -4] |
| }).AddInput(a1).AddVariations("relaxed", quant8) |
