| # |
| # 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. |
| # |
| |
| input0 = Input("input0", "TENSOR_FLOAT32", "{3}") |
| multipliers = Input("multipliers", "TENSOR_INT32", "{1}") |
| output0 = Output("output0", "TENSOR_FLOAT32", "{6}") |
| |
| model = Model().Operation("TILE", input0, multipliers).To(output0) |
| |
| input_values = [1.2, -3.4, 5.6] |
| multiplier_values = [2] |
| output_values = input_values + input_values |
| |
| quant8 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], |
| output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], |
| }) |
| |
| float16 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_FLOAT16"], |
| output0: ["TENSOR_FLOAT16"], |
| }) |
| |
| Example({ |
| input0: input_values, |
| multipliers: multiplier_values, |
| output0: output_values, |
| }).AddVariations("relaxed", float16, quant8) |
