| # |
| # 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", "{2, 2}") |
| axis = Int32Scalar("axis", 1) |
| output0 = Output("output", "TENSOR_INT32", "{2}") |
| |
| model = Model().Operation("ARGMIN", input0, axis).To(output0) |
| |
| quant8 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_QUANT8_ASYMM", 1.0, 0], |
| }) |
| |
| Example({ |
| input0: [1.0, 2.0, |
| 4.0, 3.0], |
| output0: [0, 1], |
| }).AddVariations("relaxed", "float16", "int32", quant8) |