1# 2# Copyright (C) 2018 The Android Open Source Project 3# 4# Licensed under the Apache License, Version 2.0 (the "License"); 5# you may not use this file except in compliance with the License. 6# You may obtain a copy of the License at 7# 8# http://www.apache.org/licenses/LICENSE-2.0 9# 10# Unless required by applicable law or agreed to in writing, software 11# distributed under the License is distributed on an "AS IS" BASIS, 12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13# See the License for the specific language governing permissions and 14# limitations under the License. 15# 16 17input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}") 18 19output0 = Output("output", "TENSOR_FLOAT32", "{1, 2, 2}") 20output1 = Output("output", "TENSOR_FLOAT32", "{2, 1, 2}") 21output2 = Output("output", "TENSOR_FLOAT32", "{2, 2, 1}") 22output3 = output2 23 24model0 = Model().Operation("EXPAND_DIMS", input0, 0).To(output0) 25model1 = Model().Operation("EXPAND_DIMS", input0, 1).To(output1) 26model2 = Model().Operation("EXPAND_DIMS", input0, 2).To(output2) 27model3 = Model().Operation("EXPAND_DIMS", input0, -1).To(output3) 28 29data = [1.2, -3.4, 5.6, 7.8] 30 31for model, output in [(model0, output0), 32 (model1, output1), 33 (model2, output2), 34 (model3, output3)]: 35 quant8 = DataTypeConverter().Identify({ 36 input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], 37 output: ["TENSOR_QUANT8_ASYMM", 0.5, 127], 38 }) 39 40 int32 = DataTypeConverter().Identify({ 41 input0: ["TENSOR_INT32"], 42 output: ["TENSOR_INT32"], 43 }) 44 45 Example({ 46 input0: data, 47 output: data, 48 }, model=model).AddVariations("relaxed", quant8, int32, "float16") 49