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, 3}") 18multipliers = Input("multipliers", "TENSOR_INT32", "{2}") 19output0 = Output("output0", "TENSOR_FLOAT32", "{4, 3}") 20 21model = Model().Operation("TILE", input0, multipliers).To(output0) 22 23input_values = [11, 12, 13, 24 21, 22, 23] 25multiplier_values = [2, 1] 26output_values = [11, 12, 13, 27 21, 22, 23, 28 11, 12, 13, 29 21, 22, 23] 30 31quant8 = DataTypeConverter().Identify({ 32 input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], 33 output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], 34}) 35 36int32 = DataTypeConverter().Identify({ 37 input0: ["TENSOR_INT32"], 38 output0: ["TENSOR_INT32"], 39}) 40 41float16 = DataTypeConverter().Identify({ 42 input0: ["TENSOR_FLOAT16"], 43 output0: ["TENSOR_FLOAT16"], 44}) 45 46Example({ 47 input0: input_values, 48 multipliers: multiplier_values, 49 output0: output_values, 50}).AddVariations("relaxed", float16, quant8, int32) 51