An AttributeError occurs when an object does not have the attribute you are trying to access or call. In the given error message, it states that the ‘upsample’ object does not have the attribute ‘recompute_scale_factor’.
To better understand this error, let’s consider an example:
# Import the required libraries
import torch
import torch.nn as nn
# Create an upsample object
upsample = nn.Upsample(scale_factor=2)
# Try to access the 'recompute_scale_factor' attribute, which does not exist
upsample.recompute_scale_factor
In the above example, we are using the PyTorch library and creating an instance of the nn.Upsample class named ‘upsample’. This class is used to upsample (increase the size) of an input tensor. When we try to access the attribute ‘recompute_scale_factor’ of the ‘upsample’ object, it results in an AttributeError since this attribute does not exist for the ‘upsample’ object.
To avoid this error, make sure you are calling the correct attribute or method that exists for the specific object you are working with. You can refer to the documentation or the source code of the library to understand which attributes and methods are available.