# 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()