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      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 
     17 # TEST 1: PRELU
     18 i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
     19 a1 = Parameter("alpha", "TENSOR_FLOAT32", "{1, 1, 3}", [0, 1, 2])
     20 o1 = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
     21 Model().Operation("PRELU", i1, a1).To(o1)
     22 
     23 # output.scale > input.scale && output.scale > input.scale * alpha.scale
     24 quant8_gt = DataTypeConverter().Identify({
     25     i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
     26     a1: ("TENSOR_QUANT8_ASYMM", 0.25, 50),
     27     o1: ("TENSOR_QUANT8_ASYMM", 0.5, 120)
     28 })
     29 
     30 # output.scale == input.scale
     31 quant8_eq1 = DataTypeConverter().Identify({
     32     i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
     33     a1: ("TENSOR_QUANT8_ASYMM", 0.25, 50),
     34     o1: ("TENSOR_QUANT8_ASYMM", 0.25, 120)
     35 })
     36 
     37 # output.scale == input.scale * alpha.scale
     38 quant8_eq2 = DataTypeConverter().Identify({
     39     i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
     40     a1: ("TENSOR_QUANT8_ASYMM", 0.5, 50),
     41     o1: ("TENSOR_QUANT8_ASYMM", 0.125, 120)
     42 })
     43 
     44 # output.scale < input.scale && output.scale < input.scale * alpha.scale
     45 quant8_lt = DataTypeConverter().Identify({
     46     i1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
     47     a1: ("TENSOR_QUANT8_ASYMM", 0.5, 50),
     48     o1: ("TENSOR_QUANT8_ASYMM", 0.1, 120)
     49 })
     50 
     51 # Instantiate an example
     52 Example({
     53     i1: [ 0,  0,  0,
     54           1,  1,  1,
     55          -1, -1, -1,
     56          -2, -2, -2],
     57     o1: [ 0,  0,  0,
     58           1,  1,  1,
     59           0, -1, -2,
     60           0, -2, -4]
     61 }).AddInput(a1).AddVariations("relaxed", quant8_gt, quant8_eq1, quant8_eq2, quant8_lt, "float16")
     62