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You are reading the documentation for MMClassification 0.x, which will soon be deprecated at the end of 2022. We recommend you upgrade to MMClassification 1.0 to enjoy fruitful new features and better performance brought by OpenMMLab 2.0. Check the installation tutorial, migration tutorial and changelog for more details.

Source code for mmcls.models.utils.make_divisible

# Copyright (c) OpenMMLab. All rights reserved.
[docs]def make_divisible(value, divisor, min_value=None, min_ratio=0.9): """Make divisible function. This function rounds the channel number down to the nearest value that can be divisible by the divisor. Args: value (int): The original channel number. divisor (int): The divisor to fully divide the channel number. min_value (int, optional): The minimum value of the output channel. Default: None, means that the minimum value equal to the divisor. min_ratio (float): The minimum ratio of the rounded channel number to the original channel number. Default: 0.9. Returns: int: The modified output channel number """ if min_value is None: min_value = divisor new_value = max(min_value, int(value + divisor / 2) // divisor * divisor) # Make sure that round down does not go down by more than (1-min_ratio). if new_value < min_ratio * value: new_value += divisor return new_value
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