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71 lines
2.1 KiB
71 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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import math
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from op_test import OpTest
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def quantize_max_abs(x, max_range):
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scale = np.max(np.abs(x).flatten())
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y = np.round(x / scale * max_range)
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return y, scale
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def dequantize_max_abs(x, scale, max_range):
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y = (scale / max_range) * x
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return y
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class TestFakeDequantizeMaxAbsOp(OpTest):
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def set_args(self):
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self.num_bits = 8
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self.max_range = math.pow(2, self.num_bits - 1) - 1
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self.data_type = "float32"
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def setUp(self):
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self.set_args()
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self.op_type = "fake_dequantize_max_abs"
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x = np.random.randn(31, 65).astype(self.data_type)
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yq, scale = quantize_max_abs(x, self.max_range)
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ydq = dequantize_max_abs(yq, scale, self.max_range)
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self.inputs = {'X': yq, 'Scale': np.array(scale).astype(self.data_type)}
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self.attrs = {'max_range': self.max_range}
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self.outputs = {'Out': ydq}
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def test_check_output(self):
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self.check_output()
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class TestFakeDequantizeMaxAbsOpDouble(TestFakeDequantizeMaxAbsOp):
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def set_args(self):
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self.num_bits = 8
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self.max_range = math.pow(2, self.num_bits - 1) - 1
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self.data_type = "float64"
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class TestFakeDequantizeMaxAbsOp5Bits(TestFakeDequantizeMaxAbsOp):
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def set_args(self):
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self.num_bits = 5
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self.max_range = math.pow(2, self.num_bits - 1) - 1
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self.data_type = "float32"
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if __name__ == "__main__":
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unittest.main()
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