| # |
| # Copyright (C) 2020 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. |
| # |
| base = Input("base", "TENSOR_FLOAT32", "{3, 2, 1}") |
| exponent = Input("exponent", "TENSOR_FLOAT32", "{3, 2, 1}") |
| output = Output("output", "TENSOR_FLOAT32", "{3, 2, 1}") |
| |
| base_data = [1, 2, 3, 4, 5, 6] |
| exponent_data = [4, 3, 2, 1, 0.5, 0] |
| output_data = [base_data[i]**exponent_data[i] for i in range(len(base_data))] |
| |
| model = Model().Operation("POW", base, exponent).To(output).IntroducedIn("V1_2") |
| Example({ |
| base: base_data, |
| exponent: exponent_data, |
| output: output_data |
| }, model=model).AddVariations("relaxed", "float16") |
