2 # Copyright (C) 2018 The Android Open Source Project
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
8 # http://www.apache.org/licenses/LICENSE-2.0
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.
17 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 3}")
18 multipliers = Input("multipliers", "TENSOR_INT32", "{2}")
19 output0 = Output("output0", "TENSOR_FLOAT32", "{4, 3}")
21 model = Model().Operation("TILE", input0, multipliers).To(output0)
23 input_values = [11, 12, 13,
25 multiplier_values = [2, 1]
26 output_values = [11, 12, 13,
31 quant8 = DataTypeConverter().Identify({
32 input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
33 output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
36 int32 = DataTypeConverter().Identify({
37 input0: ["TENSOR_INT32"],
38 output0: ["TENSOR_INT32"],
41 float16 = DataTypeConverter().Identify({
42 input0: ["TENSOR_FLOAT16"],
43 output0: ["TENSOR_FLOAT16"],
48 multipliers: multiplier_values,
49 output0: output_values,
50 }).AddVariations("relaxed", float16, quant8, int32)