# 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 TestQuantizeOp(OpTest): def setUp(self): self.op_type = 'quantize' self.scale = 2.0 self.input_size = [1, 1, 5, 5] #Naive nChw16c self.is_negative = False self.set_scale() self.set_is_negative() if self.is_negative: input = (100 * np.random.random_sample(self.input_size) - 50 ).astype('float32') output = np.round(input * self.scale).astype('int8') else: input = (100 * np.random.random_sample(self.input_size)).astype('float32') output = np.round(input * self.scale).astype('uint8') self.inputs = {'Input': OpTest.np_dtype_to_fluid_dtype(input)} self.outputs = {'Output': output} self.attrs = { 'Scale': self.scale, 'is_negative_input': self.is_negative } def test_check_output(self): self.check_output() def set_scale(self): pass def set_is_negative(self): pass class TestQuantizeOp1(TestQuantizeOp): def set_scale(self): self.scale = 1.5 def set_is_negative(self): self.is_nagative = True class TestQuantizeOp2(TestQuantizeOp): def set_scale(self): self.scale = 0.1 def set_is_negative(self): self.is_nagative = False if __name__ == '__main__': unittest.main()