# # 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. # i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 3}") a1 = Parameter("alpha", "TENSOR_FLOAT32", "{1, 1, 3}", [0, 1, 2]) o1 = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 3}") Model().Operation("PRELU", i1, a1).To(o1) # output.scale > input.scale && output.scale > input.scale * alpha.scale quant8_signed_gt = DataTypeConverter().Identify({ i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0), a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -78), o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -8) }) # output.scale == input.scale quant8_signed_eq1 = DataTypeConverter().Identify({ i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0), a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -78), o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -8) }) # output.scale == input.scale * alpha.scale quant8_signed_eq2 = DataTypeConverter().Identify({ i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0), a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -78), o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, -8) }) # output.scale < input.scale && output.scale < input.scale * alpha.scale quant8_signed_lt = DataTypeConverter().Identify({ i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0), a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -78), o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, -8) }) # Instantiate an example Example({ i1: [ 0, 0, 0, 1, 1, 1, -1, -1, -1, -2, -2, -2], o1: [ 0, 0, 0, 1, 1, 1, 0, -1, -2, 0, -2, -4] }).AddVariations(quant8_signed_gt, quant8_signed_eq1, quant8_signed_eq2, quant8_signed_lt, includeDefault=False)