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2026-07-13 12:40:42 +08:00

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Python

# 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.
import math
import unittest
import numpy as np
from op_test import OpTest
def quantize_max_abs(x, max_range):
scale = np.max(np.abs(x).flatten())
y = np.round(x / scale * max_range)
return y, scale
def dequantize_max_abs(x, scale, max_range):
y = (scale / max_range) * x
return y
class TestDequantizeMaxAbsOp(OpTest):
def set_args(self):
self.num_bits = 8
self.max_range = math.pow(2, self.num_bits - 1) - 1
self.data_type = "int8"
def setUp(self):
self.set_args()
self.op_type = "dequantize_abs_max"
x = np.random.randn(31, 65).astype(self.data_type)
yq, scale = quantize_max_abs(x, self.max_range)
ydq = dequantize_max_abs(yq, scale, self.max_range)
self.inputs = {
'X': np.array(yq).astype(self.data_type),
'Scale': np.array(scale).astype('float32'),
}
self.attrs = {'max_range': self.max_range}
self.outputs = {'Out': ydq}
def test_check_output(self):
self.check_output(check_dygraph=False)
class TestDequantizeMaxAbsOp5Bits(TestDequantizeMaxAbsOp):
def set_args(self):
self.num_bits = 5
self.max_range = math.pow(2, self.num_bits - 1) - 1
self.data_type = "int8"
class TestDequantizeMaxAbsOpInt16(TestDequantizeMaxAbsOp):
def set_args(self):
self.num_bits = 16
self.max_range = math.pow(2, self.num_bits - 1) - 1
self.data_type = "int16"
if __name__ == "__main__":
unittest.main()