| # |
| # 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. |
| # |
| |
| def test(name, input0, input1, output0, input0_data, input1_data, output_data): |
| model = Model().Operation("MAXIMUM", input0, input1).To(output0) |
| |
| quant8 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], |
| input1: ["TENSOR_QUANT8_ASYMM", 0.5, 127], |
| output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], |
| }) |
| |
| int32 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_INT32"], |
| input1: ["TENSOR_INT32"], |
| output0: ["TENSOR_INT32"], |
| }) |
| |
| float16 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_FLOAT16"], |
| input1: ["TENSOR_FLOAT16"], |
| output0: ["TENSOR_FLOAT16"], |
| }) |
| |
| Example({ |
| input0: input0_data, |
| input1: input1_data, |
| output0: output_data, |
| }, model=model, name=name).AddVariations("relaxed", quant8, int32, float16) |
| |
| test( |
| name="simple", |
| input0=Input("input0", "TENSOR_FLOAT32", "{3, 1, 2}"), |
| input1=Input("input1", "TENSOR_FLOAT32", "{3, 1, 2}"), |
| output0=Output("output0", "TENSOR_FLOAT32", "{3, 1, 2}"), |
| input0_data=[1.0, 0.0, -1.0, 11.0, -2.0, -1.44], |
| input1_data=[-1.0, 0.0, 1.0, 12.0, -3.0, -1.43], |
| output_data=[1.0, 0.0, 1.0, 12.0, -2.0, -1.43], |
| ) |
| |
| test( |
| name="broadcast", |
| input0=Input("input0", "TENSOR_FLOAT32", "{3, 1, 2}"), |
| input1=Input("input1", "TENSOR_FLOAT32", "{2}"), |
| output0=Output("output0", "TENSOR_FLOAT32", "{3, 1, 2}"), |
| input0_data=[1.0, 0.0, -1.0, -2.0, -1.44, 11.0], |
| input1_data=[0.5, 2.0], |
| output_data=[1.0, 2.0, 0.5, 2.0, 0.5, 11.0], |
| ) |