# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. # # 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. from __future__ import print_function import unittest import numpy as np from op_test import OpTest class TestDeQuantizeOp(OpTest): def setUp(self): self.op_type = 'dequantize' self.scale = 2.0 self.input_size = [1, 1, 5, 5] #Naive nChw16c self.data_type = 'int8' self.set_scale() self.set_data_type() if self.data_type == 'int8': input = (np.random.randint(0, 100, self.input_size) - 50 ).astype(self.data_type) output = (input * (1 / self.scale)).astype('float') else: input = (np.random.randint(0, 100, self.input_size)).astype(self.data_type) output = (input * (1 / self.scale)).astype('float') self.inputs = {'Input': OpTest.np_dtype_to_fluid_dtype(input)} self.outputs = {'Output': output} self.attrs = {'Scale': self.scale, } def test_check_output(self): self.check_output() def set_scale(self): pass def set_data_type(OpTest): pass class TestDeQuantizeOp1(TestDeQuantizeOp): def set_scale(self): self.scale = 1.5 def set_data_type(self): self.data_type = 'int8' class TestDeQuantizeOp2(TestDeQuantizeOp): def set_scale(self): self.scale = 0.8 def set_data_type(self): self.data_type = 'uint8' if __name__ == '__main__': unittest.main()