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77 lines
2.1 KiB
77 lines
2.1 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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class TestQuantizeOp(OpTest):
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def setUp(self):
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self.op_type = 'quantize'
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self.scale = 2.0
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self.input_size = [1, 1, 5, 5] #Naive nChw16c
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self.is_negative = False
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self.set_scale()
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self.set_is_negative()
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if self.is_negative:
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input = (100 * np.random.random_sample(self.input_size) - 50
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).astype('float32')
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output = np.round(input * self.scale).astype('int8')
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else:
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input = (100 *
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np.random.random_sample(self.input_size)).astype('float32')
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output = np.round(input * self.scale).astype('uint8')
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self.inputs = {'Input': OpTest.np_dtype_to_fluid_dtype(input)}
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self.outputs = {'Output': output}
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self.attrs = {
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'Scale': self.scale,
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'is_negative_input': self.is_negative
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}
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def test_check_output(self):
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self.check_output()
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def set_scale(self):
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pass
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def set_is_negative(self):
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pass
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class TestQuantizeOp1(TestQuantizeOp):
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def set_scale(self):
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self.scale = 1.5
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def set_is_negative(self):
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self.is_nagative = True
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class TestQuantizeOp2(TestQuantizeOp):
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def set_scale(self):
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self.scale = 0.1
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def set_is_negative(self):
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self.is_nagative = False
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if __name__ == '__main__':
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unittest.main()
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