| # |
| # 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(input0, axis, indices, output0, input_data, output_data): |
| model = Model().Operation("GATHER", input0, axis, indices).To(output0) |
| |
| quant8 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], |
| output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], |
| }) |
| |
| int32 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_INT32"], |
| output0: ["TENSOR_INT32"], |
| }) |
| |
| float16 = DataTypeConverter().Identify({ |
| input0: ["TENSOR_FLOAT16"], |
| output0: ["TENSOR_FLOAT16"], |
| }) |
| |
| Example({ |
| input0: input_data, |
| output0: output_data, |
| }, model=model).AddVariations("relaxed", quant8, int32, float16) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{2, 2}"), |
| axis=0, |
| indices=[1, 0], |
| output0=Output("output0", "TENSOR_FLOAT32", "{2, 2}"), |
| input_data=[-2.0, 0.2, |
| 0.7, 0.8], |
| output_data=[0.7, 0.8, |
| -2.0, 0.2], |
| ) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{2, 2}"), |
| axis=0, |
| indices=[1], # Unlike TensorFlow, 0-D arguments and outputs are not supported. |
| output0=Output("output0", "TENSOR_FLOAT32", "{1, 2}"), |
| input_data=[-2.0, 0.2, |
| 0.7, 0.8], |
| output_data=[0.7, 0.8], |
| ) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{3}"), |
| axis=0, |
| indices=[1], |
| output0=Output("output0", "TENSOR_FLOAT32", "{1}"), |
| input_data=[1, 2, 3], |
| output_data=[2], |
| ) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{3}"), |
| axis=0, |
| indices=[1, 0], |
| output0=Output("output0", "TENSOR_FLOAT32", "{2}"), |
| input_data=[1, 2, 3], |
| output_data=[2, 1], |
| ) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{1, 2, 2}"), |
| axis=0, |
| indices=[0, 0], |
| output0=Output("output0", "TENSOR_FLOAT32", "{2, 2, 2}"), |
| input_data=[-2.0, 0.2, |
| 0.7, 0.8], |
| output_data=[-2.0, 0.2, |
| 0.7, 0.8, |
| -2.0, 0.2, |
| 0.7, 0.8], |
| ) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{4, 1}"), |
| axis=0, |
| indices=[1, 3], |
| output0=Output("output0", "TENSOR_FLOAT32", "{2, 1}"), |
| input_data=[-2.0, 0.2, 0.7, 0.8], |
| output_data=[0.2, 0.8], |
| ) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{1, 2, 3}"), |
| axis=1, |
| indices=[1, 0], |
| output0=Output("output0", "TENSOR_FLOAT32", "{1, 2, 3}"), |
| input_data=[1, 2, 3, |
| 4, 5, 6], |
| output_data=[4, 5, 6, |
| 1, 2, 3], |
| ) |
| |
| test( |
| input0=Input("input0", "TENSOR_FLOAT32", "{1, 2, 3}"), |
| axis=-1, |
| indices=[2, 0], |
| output0=Output("output0", "TENSOR_FLOAT32", "{1, 2, 2}"), |
| input_data=[1, 2, 3, |
| 4, 5, 6], |
| output_data=[3, 1, |
| 6, 4], |
| ) |